From b927e6d86e93e6f2d70d9c9fe08c966a50f326d3 Mon Sep 17 00:00:00 2001 From: Bruno Ariano Date: Fri, 8 Aug 2025 15:57:23 +0200 Subject: [PATCH 01/61] Make pipeline input agnostic --- scqtl/cli/ingestion.py | 14 +- scqtl/utils/create_tiledb_schema.py | 46 ++++-- scqtl/utils/harmonize_ingest.py | 149 +++++++++++++++++++ scqtl/utils/harmonize_ingest_data_polars.py | 153 -------------------- 4 files changed, 188 insertions(+), 174 deletions(-) create mode 100644 scqtl/utils/harmonize_ingest.py delete mode 100644 scqtl/utils/harmonize_ingest_data_polars.py diff --git a/scqtl/cli/ingestion.py b/scqtl/cli/ingestion.py index aaecbc8..c031655 100644 --- a/scqtl/cli/ingestion.py +++ b/scqtl/cli/ingestion.py @@ -4,7 +4,7 @@ import click import cloup from scqtl.utils.create_tiledb_schema import create_tiledb_schema -from scqtl.utils.harmonize_ingest_data_polars import harmonize_ingest_data +from scqtl.utils.harmonize_ingest import harmonize_ingest_gwas, harmonize_ingest_sc import dask import pandas as pd @@ -13,7 +13,8 @@ "Essential parameters", cloup.option("--uri", default = None, type=str, help = "Where to store the TileDB"), cloup.option("--list_files", default = None, type=str, help = "List of the files to ingest"), - cloup.option("--pvar_file", default = None, type=str, help = "pvar file used to verify the alleles order") + cloup.option("--pvar_file", default = None, type=str, help = "pvar file used to verify the alleles order"), + cloup.option("--type-sumstat", default = None, type=str, help = "Either gwas or scqtl, to specify the type of summary statistics being ingested. This is used to harmonize the data accordingly.") ) @cloup.option_group( "Optional parameters", @@ -21,14 +22,17 @@ cloup.option("--chunk_size", default = 50000000, type=int, help = "The number of rows to ingest at once"), ) @click.pass_context -def ingestion(ctx, uri: str, chunk_size: int, batch_size: int, list_files:str, pvar_file:str): +def ingestion(ctx, uri: str, chunk_size: int, batch_size: int, list_files:str, pvar_file:str,type_sumstat:str): if not os.path.exists(uri): - create_tiledb_schema(uri) + create_tiledb_schema(uri, type_sumstat=type_sumstat) file_list = open(list_files, "r").read().splitlines() for i in range(0, len(file_list), batch_size): batch_files = file_list[i:i + batch_size] for file in batch_files: - harmonize_ingest_data(chunk_size, file, uri, pvar_file) + if type_sumstat == "gwas": + harmonize_ingest_data_gwas(chunk_size, file, uri, pvar_file, type_sumstat="gwas") + elif type_sumstat == "scqtl": + harmonize_ingest_sc(chunk_size, file, uri, pvar_file, type_sumstat="scqtl") print(f"Batch {i // batch_size + 1} completed.") diff --git a/scqtl/utils/create_tiledb_schema.py b/scqtl/utils/create_tiledb_schema.py index 26a0992..3ee06ea 100644 --- a/scqtl/utils/create_tiledb_schema.py +++ b/scqtl/utils/create_tiledb_schema.py @@ -2,29 +2,43 @@ import tiledb import numpy as np -def create_tiledb_schema(uri): - pos_domain = (1, 3000000000) # Example range for genomic positions +def create_tiledb_schema(uri:str, type_sumstat:str): + pos_domain = (1, 300000000) # Example range for genomic positions chr_domain = (1, 22) # Example range for genomic positions - dom = tiledb.Domain( - tiledb.Dim(name="CHR", domain = chr_domain, dtype=np.uint16, filters=tiledb.FilterList([tiledb.ZstdFilter(level=5)])), - tiledb.Dim(name="CELL", dtype="ascii", var=True, filters=tiledb.FilterList([tiledb.ZstdFilter(level=5)]) ), - tiledb.Dim(name="GENE",dtype="ascii", var=True, filters=tiledb.FilterList([tiledb.ZstdFilter(level=5)]) ), - tiledb.Dim(name="POS", domain = pos_domain, dtype=np.uint32, filters=tiledb.FilterList([tiledb.ZstdFilter(level=5)])) - ) - schema = tiledb.ArraySchema( - domain=dom, - sparse=True, - allows_duplicates=True, - attrs=[ - tiledb.Attr(name="SNP", dtype="ascii", filters=tiledb.FilterList([tiledb.ZstdFilter(level=5)])), - tiledb.Attr(name="RSID", dtype="ascii", filters=tiledb.FilterList([tiledb.ZstdFilter(level=5)])), - tiledb.Attr(name="DIST", dtype=np.int64, filters=tiledb.FilterList([tiledb.ZstdFilter(level=5)])), + #define the domain for chromosome, cell, gene and position + if type_sumstat not in ["gwas", "scqtl"]: + raise ValueError("type_sumstat must be either 'gwas' or 'scqtl'") + if type_sumstat == "gwas": + dom = tiledb.Domain( + tiledb.Dim(name="CHR", domain=chr_domain, dtype=np.uint16, filters=tiledb.FilterList([tiledb.ZstdFilter(level=5)])), + tiledb.Dim(name="TRAIT", dtype="ascii", var=True, filters=tiledb.FilterList([tiledb.ZstdFilter(level=5)])), + tiledb.Dim(name="POS", domain=pos_domain, dtype=np.uint32, filters=tiledb.FilterList([tiledb.ZstdFilter(level=5)])) + ) + elif type_sumstat == "scqtl": + # For scQTL, we need to define additional dimensions for CELL and GENE + dom = tiledb.Domain( + tiledb.Dim(name="CHR", domain=chr_domain, dtype=np.uint16, filters=tiledb.FilterList([tiledb.ZstdFilter(level=5)])), + tiledb.Dim(name="TRAIT", dtype="ascii", var=True, filters=tiledb.FilterList([tiledb.ZstdFilter(level=5)])), + tiledb.Dim(name="GENE", dtype="ascii", var=True, filters=tiledb.FilterList([tiledb.ZstdFilter(level=5)])), + tiledb.Dim(name="POS", domain=pos_domain, dtype=np.uint32, filters=tiledb.FilterList([tiledb.ZstdFilter(level=5)])) + ) + attributes=[ + tiledb.Attr(name="SNP", dtype="ascii", filters=tiledb.FilterList([tiledb.ZstdFilter(level=5)])), tiledb.Attr(name="AF", dtype=np.float32, filters=tiledb.FilterList([tiledb.ZstdFilter(level=5)])), tiledb.Attr(name="BETA", dtype=np.float32, filters=tiledb.FilterList([tiledb.ZstdFilter(level=5)])), tiledb.Attr(name="SE", dtype=np.float32, filters=tiledb.FilterList([tiledb.ZstdFilter(level=5)])), tiledb.Attr(name="P", dtype=np.float64, filters=tiledb.FilterList([tiledb.ZstdFilter(level=5)])), tiledb.Attr(name="N", dtype=np.int64, filters=tiledb.FilterList([tiledb.ZstdFilter(level=5)])) ] + if type_sumstat == "scqtl": + attributes = attributes + [ + tiledb.Attr(name="DIST", dtype=np.float32, filters=tiledb.FilterList([tiledb.ZstdFilter(level=5)])) + ] + schema = tiledb.ArraySchema( + domain=dom, + sparse=True, + allows_duplicates=True, + attrs = attributes ) tiledb.Array.create(uri, schema) diff --git a/scqtl/utils/harmonize_ingest.py b/scqtl/utils/harmonize_ingest.py new file mode 100644 index 0000000..bb9e953 --- /dev/null +++ b/scqtl/utils/harmonize_ingest.py @@ -0,0 +1,149 @@ +import numpy as np +import polars as pl +import pandas as pd +import tiledb +import json +from pathlib import Path +import logging + +# Set up logging +logging.basicConfig(level=logging.INFO, format="%(asctime)s - %(levelname)s - %(message)s") +logger = logging.getLogger(__name__) + +class HarmonizationError(Exception): + """Custom exception for harmonization errors.""" + pass + +class Harmonize(): + + def __init__(self, file_mapping: str, chunk_size: int, file_path: str, celltype: str, uri: str, pvar_file: str, type_sumstat: str): + self.chunk_size = chunk_size + self.file_path = file_path + self.celltype = celltype + self.uri = uri + self.pvar_file = pvar_file + self.type_sumstat = type_sumstat + self.file_mapping = file_mapping + + def create_dtypes(self): + """Create the dtypes for the Polars DataFrame taking the fields from a file and converting them.""" + df = pd.read_csv("data.txt", sep="\s+", header=None, names=["key", "value"]) + # Convert to dictionary + self.mapping_types = dict(zip(df["key"], df["value"])) + + # Define the dtypes for TileDB + # This is a dictionary mapping column names to their types + # The types are defined based on the expected data types in the file + # For example, "CHR" is an unsigned 16-bit integer, "POS" is an unsigned 32-bit integer, etc. + # This mapping is used to ensure that the data is stored in the correct format in TileDB + if self.type_sumstat =="gwas": + self.tiledb_types = { + "CHR": np.uint16, + "TRAIT": str, + "POS": np.uint32, + "SNP": str, + "DIST": np.int64, + "AF": np.float32, + "BETA": np.float32, + "SE": np.float32, + "P": np.float64, + "N": np.int64, + } + self.dimension_tiledb = ["CHR", "TRAIT", "POS"] + else: + self.tiledb_types = { + "CHR": np.uint16, + "CELL": str, + "GENE": str, + "POS": np.uint32, + "SNP": str, + "DIST": np.int64, + "AF": np.float32, + "BETA": np.float32, + "SE": np.float32, + "P": np.float64, + "N": np.int64, + } + self.dimension_tiledb = ["CHR", "CELL", "GENE", "POS"] + + def harmonize(self): + chunk_pl = pl.read_csv( + self.file_path, + separator="\t", + columns= self.mapping_types.keys(), + low_memory=True, + ) + # Change column name for each key value + chunk_pl = chunk_pl.rename(self.mapping_types) + chunk_pl = chunk_pl.with_columns( + (pl.lit("chr") + pl.col("SNP")) + ) + # Create CHR POS REF ALT from variant ID if CHR POS are not present + if "CHR" not in chunk_pl.columns or "POS" not in chunk_pl.columns: + chunk_pl = chunk_pl.with_columns( + pl.col("SNP") + .str.split_exact(":", 4) + .struct.rename_fields(["CHR", "POS","REF","ALT"]) + .alias("fields") + ).unnest("fields") + + # Not sure about this + #if type_sumstat == "scqtl": + # chunk_pl = chunk_pl.with_columns( + # pl.when(pl.col("start_distance").str.contains("vs")) + # .then(None) + # .otherwise(pl.col("start_distance")) + # .cast(pl.Int64, strict=False) + # .alias("DIST"), + # ) + + def align_alleles(self): + """Align alleles based on pvar file.""" + if not self.pvar_file: + raise HarmonizationError("pvar_file must be provided to verify alleles order") + if not Path(self.pvar_file).is_file(): + raise FileNotFoundError(f"pvar_file {self.pvar_file} does not exist") + + pvar_df = pl.read_csv( + self.pvar_file, + separator="\t", + has_header=True, + new_columns=["CHROM", "POS", "SNP", "REF", "ALT", "INFO"], # Rename columns for clarity + dtypes={"CHROM": pl.Utf8, "POS": pl.Utf8, "SNP": pl.Utf8, "REF": pl.Utf8, "ALT": pl.Utf8, "INFO":pl.Utf8}, + ) + chunk_pl = chunk_pl.join(pvar_df, on="SNP", how="inner", suffix="_pvar") + chunk_pl = chunk_pl.with_columns( + pl.when(pl.col("REF") > pl.col("ALT")) + .then(pl.col("BETA")) # Keep BETA as is + .otherwise(-pl.col("BETA")), # Invert BETA + pl.when(pl.col("REF") > pl.col("ALT")) + .then(pl.col("AF")) # Keep AF as is + .otherwise(1.0 - pl.col("AF")) # Compute 1 - AF + ) + + def ingest_data(self): + try: + tiledb.from_pandas( + uri=self.uri, + dataframe=self.chunk_pl.to_pandas(), + index_dims=self.dimension_tiledb, + column_types=self.tiledb_types, + mode="append", + ) + + logger.info(f"Successfully appended chunk to TileDB") + except Exception as e: + logger.error(f"Failed to append chunk to TileDB: {e}") + raise + + def create_metadata(self): + """Create metadata for the TileDB array.""" + metadata = { + "file_path": self.file_path, + "celltype": self.celltype, + "pvar_file": self.pvar_file, + "type_sumstat": self.type_sumstat, + } + with tiledb.open(self.uri, mode='w') as array: + array.meta["metadata"] = json.dumps(metadata) + logger.info("Metadata created successfully") \ No newline at end of file diff --git a/scqtl/utils/harmonize_ingest_data_polars.py b/scqtl/utils/harmonize_ingest_data_polars.py deleted file mode 100644 index e2ea5fe..0000000 --- a/scqtl/utils/harmonize_ingest_data_polars.py +++ /dev/null @@ -1,153 +0,0 @@ -import numpy as np -import polars as pl -import tiledb -import json -from pathlib import Path -import logging - -# Set up logging -logging.basicConfig(level=logging.INFO, format="%(asctime)s - %(levelname)s - %(message)s") -logger = logging.getLogger(__name__) - -def harmonize_ingest_data(chunk_size: int, file: str, uri: str, pvar_file: str) -> None: - """ - Process genetic data in chunks, store in TileDB, and update metadata once. - - Args: - chunk_size: Number of rows per chunk. - file: Comma-separated string with file path and cell type (e.g., "path.tsv,cell_type"). - uri: TileDB array URI. - """ - try: - # Validate input - file_parts = file.split(",") - if len(file_parts) != 2: - raise ValueError("Expected file input as 'filepath,cell_type'") - file_path, cell_type = file_parts - if not Path(file_path).is_file(): - raise FileNotFoundError(f"File {file_path} does not exist") - - logger.info(f"Processing file {file_path} with cell type {cell_type}") - - # Define schema - dtypes = { - "variant_id": pl.Utf8, - "start_distance": pl.Utf8, - "phenotype_id": pl.Utf8, - "slope": pl.Float32, - "slope_se": pl.Float32, - "af": pl.Float32, - "pval_nominal": pl.Float64, - "ma_count": pl.Int64, - "nsamples" : pl.Int64, - } - columns = list(dtypes.keys()) - - # TileDB column types - tiledb_types = { - "CHR": np.uint16, - "CELL": str, - "GENE": str, - "POS": np.uint32, - "SNP": str, - #"RSID": str, - "DIST": np.int64, - "AF": np.float32, - "BETA": np.float32, - "SE": np.float32, - "P": np.float64, - "N": np.int64, - } - - chunk_pl = pl.read_csv( - file_path, - separator="\t", - columns=columns, - dtypes=dtypes, - low_memory=True, - ) - # Clean start_distance - chunk_pl = chunk_pl.with_columns( - pl.col("variant_id") - .str.split_exact(":", 4) - .struct.rename_fields(["CHR", "POS","REF","ALT"]) - .alias("fields") - ).unnest("fields").drop(["REF", "ALT"]) - - chunk_pl = chunk_pl.with_columns( - pl.when(pl.col("start_distance").str.contains("vs")) - .then(None) - .otherwise(pl.col("start_distance")) - .cast(pl.Int64, strict=False) - .alias("DIST"), - #pl.lit(None, pl.Utf8).alias("RSID"), - ) - # Create SNP identifier - chunk_pl = chunk_pl.with_columns( - pl.col("CHR").str.replace(r"chr", "").cast(pl.Utf8), - pl.col("POS").cast(pl.Utf8) - #pl.when(pl.col("af") > 0) - #.then(pl.col("ma_count") / (pl.col("af") * 2)) - #.otherwise(None) - #.cast(pl.Int64) - #.alias("N"), - ) - - pvar_df = pl.read_csv( - pvar_file, - separator="\t", - has_header=True, - new_columns=["CHROM", "POS", "SNP", "REF", "ALT", "INFO"], # Rename columns for clarity - dtypes={"CHROM": pl.Utf8, "POS": pl.Utf8, "SNP": pl.Utf8, "REF": pl.Utf8, "ALT": pl.Utf8, "INFO":pl.Utf8}, - ) - - chunk_pl = chunk_pl.join(pvar_df, right_on="SNP", left_on="variant_id", how="inner", suffix="_pvar") - chunk_pl = chunk_pl.with_columns( - pl.when(pl.col("REF") > pl.col("ALT")) - .then(pl.col("slope")) # Keep BETA as is - .otherwise(-pl.col("slope")) # Invert BETA - .alias("BETA"), - pl.when(pl.col("REF") > pl.col("ALT")) - .then(pl.col("af")) # Keep AF as is - .otherwise(1.0 - pl.col("af")) # Compute 1-AF - .alias("AF"), - ) - - chunk_pl = chunk_pl.with_columns( - (pl.lit("chr") + pl.col("variant_id")).alias("SNP"), - pl.col("phenotype_id").alias("GENE"), - pl.col("slope_se").alias("SE"), - pl.col("nsamples").alias("N"), - pl.col("pval_nominal").alias("P"), - pl.lit(cell_type).alias("CELL"), - ) - - # Select final columns - chunk_processed = chunk_pl.select([ - "CHR", "CELL", "GENE", "POS", "SNP", "RSID", "DIST", "AF", "BETA", "SE", "P", "N" - ]) - - # Convert to pandas for TileDB - chunk_df = chunk_processed.to_pandas() - - # Validate DataFrame - if not all(col in chunk_df.columns for col in tiledb_types): - raise ValueError(f"Chunk missing required columns") - - # Write to TileDB - try: - tiledb.from_pandas( - uri=uri, - dataframe=chunk_df, - index_dims=["CHR", "CELL", "GENE", "POS"], - column_types=tiledb_types, - mode="append", - ) - logger.info(f"Successfully appended chunk to TileDB") - except Exception as e: - logger.error(f"Failed to append chunk to TileDB: {e}") - raise - - except Exception as e: - logger.error(f"Error processing data: {e}") - raise \ No newline at end of file From a54220262a3016ecc8e211cd79132f48934ff95d Mon Sep 17 00:00:00 2001 From: Bruno Ariano Date: Mon, 11 Aug 2025 09:41:28 +0200 Subject: [PATCH 02/61] Make pipeline input agnostic --- main.nf | 0 nextflow.config | 0 scqtl/cli/ingestion.py | 11 +++----- scqtl/utils/create_tiledb_schema.py | 3 +-- scqtl/utils/harmonize_ingest.py | 40 ++++++++++++++++++++++++----- 5 files changed, 39 insertions(+), 15 deletions(-) create mode 100644 main.nf create mode 100644 nextflow.config diff --git a/main.nf b/main.nf new file mode 100644 index 0000000..e69de29 diff --git a/nextflow.config b/nextflow.config new file mode 100644 index 0000000..e69de29 diff --git a/scqtl/cli/ingestion.py b/scqtl/cli/ingestion.py index c031655..66d6f3a 100644 --- a/scqtl/cli/ingestion.py +++ b/scqtl/cli/ingestion.py @@ -4,8 +4,8 @@ import click import cloup from scqtl.utils.create_tiledb_schema import create_tiledb_schema -from scqtl.utils.harmonize_ingest import harmonize_ingest_gwas, harmonize_ingest_sc -import dask +from scqtl.utils.harmonize_ingest import harmonize_ingest +#import dask import pandas as pd @cloup.command("ingestion", no_args_is_help=True, help="Ingest single cell QTL with TileDB") @@ -27,12 +27,9 @@ def ingestion(ctx, uri: str, chunk_size: int, batch_size: int, list_files:str, p create_tiledb_schema(uri, type_sumstat=type_sumstat) file_list = open(list_files, "r").read().splitlines() - + #This could be optimized with Dask for i in range(0, len(file_list), batch_size): batch_files = file_list[i:i + batch_size] for file in batch_files: - if type_sumstat == "gwas": - harmonize_ingest_data_gwas(chunk_size, file, uri, pvar_file, type_sumstat="gwas") - elif type_sumstat == "scqtl": - harmonize_ingest_sc(chunk_size, file, uri, pvar_file, type_sumstat="scqtl") + harmonize_ingest(chunk_size, file, uri, pvar_file, type_sumstat="gwas") print(f"Batch {i // batch_size + 1} completed.") diff --git a/scqtl/utils/create_tiledb_schema.py b/scqtl/utils/create_tiledb_schema.py index 3ee06ea..cb83c6a 100644 --- a/scqtl/utils/create_tiledb_schema.py +++ b/scqtl/utils/create_tiledb_schema.py @@ -1,4 +1,3 @@ - import tiledb import numpy as np @@ -18,7 +17,7 @@ def create_tiledb_schema(uri:str, type_sumstat:str): # For scQTL, we need to define additional dimensions for CELL and GENE dom = tiledb.Domain( tiledb.Dim(name="CHR", domain=chr_domain, dtype=np.uint16, filters=tiledb.FilterList([tiledb.ZstdFilter(level=5)])), - tiledb.Dim(name="TRAIT", dtype="ascii", var=True, filters=tiledb.FilterList([tiledb.ZstdFilter(level=5)])), + tiledb.Dim(name="CELL", dtype="ascii", var=True, filters=tiledb.FilterList([tiledb.ZstdFilter(level=5)])), tiledb.Dim(name="GENE", dtype="ascii", var=True, filters=tiledb.FilterList([tiledb.ZstdFilter(level=5)])), tiledb.Dim(name="POS", domain=pos_domain, dtype=np.uint32, filters=tiledb.FilterList([tiledb.ZstdFilter(level=5)])) ) diff --git a/scqtl/utils/harmonize_ingest.py b/scqtl/utils/harmonize_ingest.py index bb9e953..8330020 100644 --- a/scqtl/utils/harmonize_ingest.py +++ b/scqtl/utils/harmonize_ingest.py @@ -15,11 +15,9 @@ class HarmonizationError(Exception): pass class Harmonize(): - - def __init__(self, file_mapping: str, chunk_size: int, file_path: str, celltype: str, uri: str, pvar_file: str, type_sumstat: str): + def __init__(self, file_mapping: str, chunk_size: int, file_path: str, uri: str, pvar_file: str, type_sumstat: str): self.chunk_size = chunk_size self.file_path = file_path - self.celltype = celltype self.uri = uri self.pvar_file = pvar_file self.type_sumstat = type_sumstat @@ -30,7 +28,6 @@ def create_dtypes(self): df = pd.read_csv("data.txt", sep="\s+", header=None, names=["key", "value"]) # Convert to dictionary self.mapping_types = dict(zip(df["key"], df["value"])) - # Define the dtypes for TileDB # This is a dictionary mapping column names to their types # The types are defined based on the expected data types in the file @@ -130,7 +127,6 @@ def ingest_data(self): column_types=self.tiledb_types, mode="append", ) - logger.info(f"Successfully appended chunk to TileDB") except Exception as e: logger.error(f"Failed to append chunk to TileDB: {e}") @@ -140,10 +136,42 @@ def create_metadata(self): """Create metadata for the TileDB array.""" metadata = { "file_path": self.file_path, - "celltype": self.celltype, "pvar_file": self.pvar_file, "type_sumstat": self.type_sumstat, } + if self.type_sumstat == "scqtl": + celltype = chunk_pl["CELL"].unique().to_list() + gene_list = chunk_pl["GENE"].unique().to_list() + if not celltype: + raise HarmonizationError("No cell types found in the data") + if metadata.get("cell_type") is None: + # Initialize cell_type if it doesn't exist + metadata["cell_type"] = celltype + else: + # Append cell types to existing list + metadata["cell_type"] += celltype + if not gene_list: + raise HarmonizationError("No genes found in the data") + if metadata.get(celltype) is None: + # Initialize gene if it doesn't exist + metadata[celltype] = gene_list + else: + # Append genes to existing list + metadata[celltype] += gene_list + else: + # For GWAS, we just need the TRAIT + if "TRAIT" not in chunk_pl.columns: + raise HarmonizationError("TRAIT column is missing in the data") + if chunk_pl["TRAIT"].is_empty(): + raise HarmonizationError("TRAIT column is empty in the data") + if metadata.get("trait") is None: + # Initialize trait if it doesn't exist + metadata["trait"] = chunk_pl["TRAIT"].unique().to_list() + else: + # Append traits to existing list + metadata["trait"] += chunk_pl["TRAIT"].unique().to_list() + + # Write metadata to TileDB array with tiledb.open(self.uri, mode='w') as array: array.meta["metadata"] = json.dumps(metadata) logger.info("Metadata created successfully") \ No newline at end of file From 19767e86292866be3bed15c613ecbbc8f365f4b9 Mon Sep 17 00:00:00 2001 From: Bruno Ariano Date: Mon, 11 Aug 2025 10:09:38 +0200 Subject: [PATCH 03/61] Make pipeline input agnostic --- scqtl/cli/ingestion.py | 7 +- scqtl/utils/harmonize_ingest.py | 237 +++++++++++++++----------------- 2 files changed, 118 insertions(+), 126 deletions(-) diff --git a/scqtl/cli/ingestion.py b/scqtl/cli/ingestion.py index 66d6f3a..3824f51 100644 --- a/scqtl/cli/ingestion.py +++ b/scqtl/cli/ingestion.py @@ -26,7 +26,12 @@ def ingestion(ctx, uri: str, chunk_size: int, batch_size: int, list_files:str, p if not os.path.exists(uri): create_tiledb_schema(uri, type_sumstat=type_sumstat) file_list = open(list_files, "r").read().splitlines() - + ctx.obj = { + "uri": uri, + "chunk_size": chunk_size, + "pvar_file": pvar_file, + "type_sumstat": type_sumstat + } #This could be optimized with Dask for i in range(0, len(file_list), batch_size): batch_files = file_list[i:i + batch_size] diff --git a/scqtl/utils/harmonize_ingest.py b/scqtl/utils/harmonize_ingest.py index 8330020..d0e0a57 100644 --- a/scqtl/utils/harmonize_ingest.py +++ b/scqtl/utils/harmonize_ingest.py @@ -1,39 +1,40 @@ -import numpy as np -import polars as pl -import pandas as pd -import tiledb +import logging import json from pathlib import Path -import logging -# Set up logging -logging.basicConfig(level=logging.INFO, format="%(asctime)s - %(levelname)s - %(message)s") +import pandas as pd +import polars as pl +import numpy as np +import tiledb + logger = logging.getLogger(__name__) +logging.basicConfig(level=logging.INFO, format="%(asctime)s - %(levelname)s - %(message)s") + class HarmonizationError(Exception): """Custom exception for harmonization errors.""" pass -class Harmonize(): + +class Harmonize: def __init__(self, file_mapping: str, chunk_size: int, file_path: str, uri: str, pvar_file: str, type_sumstat: str): + self.file_mapping = file_mapping self.chunk_size = chunk_size self.file_path = file_path self.uri = uri self.pvar_file = pvar_file self.type_sumstat = type_sumstat - self.file_mapping = file_mapping + self.mapping_types = {} + self.tiledb_types = {} + self.dimension_tiledb = [] + self.chunk_pl = None # will hold the harmonized dataframe def create_dtypes(self): - """Create the dtypes for the Polars DataFrame taking the fields from a file and converting them.""" - df = pd.read_csv("data.txt", sep="\s+", header=None, names=["key", "value"]) - # Convert to dictionary - self.mapping_types = dict(zip(df["key"], df["value"])) - # Define the dtypes for TileDB - # This is a dictionary mapping column names to their types - # The types are defined based on the expected data types in the file - # For example, "CHR" is an unsigned 16-bit integer, "POS" is an unsigned 32-bit integer, etc. - # This mapping is used to ensure that the data is stored in the correct format in TileDB - if self.type_sumstat =="gwas": + """Create the mapping and dtype definitions.""" + df = pd.read_csv(self.file_mapping, sep=r"\s+", header=None, names=["key", "value"]) + self.mapping_types = dict(zip(df["key"], df["value"])) + + if self.type_sumstat == "gwas": self.tiledb_types = { "CHR": np.uint16, "TRAIT": str, @@ -62,116 +63,102 @@ def create_dtypes(self): "N": np.int64, } self.dimension_tiledb = ["CHR", "CELL", "GENE", "POS"] - + def harmonize(self): - chunk_pl = pl.read_csv( + """Load and rename columns, and ensure CHR/POS exist.""" + self.chunk_pl = pl.read_csv( self.file_path, separator="\t", - columns= self.mapping_types.keys(), + columns=list(self.mapping_types.keys()), low_memory=True, ) - # Change column name for each key value - chunk_pl = chunk_pl.rename(self.mapping_types) - chunk_pl = chunk_pl.with_columns( - (pl.lit("chr") + pl.col("SNP")) - ) - # Create CHR POS REF ALT from variant ID if CHR POS are not present - if "CHR" not in chunk_pl.columns or "POS" not in chunk_pl.columns: - chunk_pl = chunk_pl.with_columns( - pl.col("SNP") - .str.split_exact(":", 4) - .struct.rename_fields(["CHR", "POS","REF","ALT"]) - .alias("fields") + self.chunk_pl = self.chunk_pl.rename(self.mapping_types) + self.chunk_pl = self.chunk_pl.with_columns( + (pl.lit("chr") + pl.col("SNP")) + ) + + # If CHR/POS missing, extract from SNP ID + if "CHR" not in self.chunk_pl.columns or "POS" not in self.chunk_pl.columns: + self.chunk_pl = self.chunk_pl.with_columns( + pl.col("SNP") + .str.split_exact(":", 4) + .struct.rename_fields(["CHR", "POS", "REF", "ALT"]) + .alias("fields") ).unnest("fields") - - # Not sure about this - #if type_sumstat == "scqtl": - # chunk_pl = chunk_pl.with_columns( - # pl.when(pl.col("start_distance").str.contains("vs")) - # .then(None) - # .otherwise(pl.col("start_distance")) - # .cast(pl.Int64, strict=False) - # .alias("DIST"), - # ) - - def align_alleles(self): - """Align alleles based on pvar file.""" - if not self.pvar_file: - raise HarmonizationError("pvar_file must be provided to verify alleles order") - if not Path(self.pvar_file).is_file(): - raise FileNotFoundError(f"pvar_file {self.pvar_file} does not exist") - - pvar_df = pl.read_csv( - self.pvar_file, - separator="\t", - has_header=True, - new_columns=["CHROM", "POS", "SNP", "REF", "ALT", "INFO"], # Rename columns for clarity - dtypes={"CHROM": pl.Utf8, "POS": pl.Utf8, "SNP": pl.Utf8, "REF": pl.Utf8, "ALT": pl.Utf8, "INFO":pl.Utf8}, - ) - chunk_pl = chunk_pl.join(pvar_df, on="SNP", how="inner", suffix="_pvar") - chunk_pl = chunk_pl.with_columns( - pl.when(pl.col("REF") > pl.col("ALT")) - .then(pl.col("BETA")) # Keep BETA as is - .otherwise(-pl.col("BETA")), # Invert BETA - pl.when(pl.col("REF") > pl.col("ALT")) - .then(pl.col("AF")) # Keep AF as is - .otherwise(1.0 - pl.col("AF")) # Compute 1 - AF + + def align_alleles(self): + """Align alleles based on pvar file.""" + if not self.pvar_file: + raise HarmonizationError("pvar_file must be provided to verify alleles order") + if not Path(self.pvar_file).is_file(): + raise FileNotFoundError(f"pvar_file {self.pvar_file} does not exist") + + pvar_df = pl.read_csv( + self.pvar_file, + separator="\t", + has_header=True, + new_columns=["CHROM", "POS", "SNP", "REF", "ALT", "INFO"], + dtypes={"CHROM": pl.Utf8, "POS": pl.Utf8, "SNP": pl.Utf8, + "REF": pl.Utf8, "ALT": pl.Utf8, "INFO": pl.Utf8}, + ) + + self.chunk_pl = self.chunk_pl.join(pvar_df, on="SNP", how="inner", suffix="_pvar") + + self.chunk_pl = self.chunk_pl.with_columns( + pl.when(pl.col("REF") > pl.col("ALT")) + .then(pl.col("BETA")) + .otherwise(-pl.col("BETA")), + pl.when(pl.col("REF") > pl.col("ALT")) + .then(pl.col("AF")) + .otherwise(1.0 - pl.col("AF")) + ) + + def ingest_data(self): + """Append harmonized data to TileDB.""" + try: + tiledb.from_pandas( + uri=self.uri, + dataframe=self.chunk_pl.to_pandas(), + index_dims=self.dimension_tiledb, + column_types=self.tiledb_types, + mode="append", ) - - def ingest_data(self): - try: - tiledb.from_pandas( - uri=self.uri, - dataframe=self.chunk_pl.to_pandas(), - index_dims=self.dimension_tiledb, - column_types=self.tiledb_types, - mode="append", - ) - logger.info(f"Successfully appended chunk to TileDB") - except Exception as e: - logger.error(f"Failed to append chunk to TileDB: {e}") - raise - - def create_metadata(self): - """Create metadata for the TileDB array.""" - metadata = { - "file_path": self.file_path, - "pvar_file": self.pvar_file, - "type_sumstat": self.type_sumstat, - } - if self.type_sumstat == "scqtl": - celltype = chunk_pl["CELL"].unique().to_list() - gene_list = chunk_pl["GENE"].unique().to_list() - if not celltype: - raise HarmonizationError("No cell types found in the data") - if metadata.get("cell_type") is None: - # Initialize cell_type if it doesn't exist - metadata["cell_type"] = celltype - else: - # Append cell types to existing list - metadata["cell_type"] += celltype - if not gene_list: - raise HarmonizationError("No genes found in the data") - if metadata.get(celltype) is None: - # Initialize gene if it doesn't exist - metadata[celltype] = gene_list - else: - # Append genes to existing list - metadata[celltype] += gene_list - else: - # For GWAS, we just need the TRAIT - if "TRAIT" not in chunk_pl.columns: - raise HarmonizationError("TRAIT column is missing in the data") - if chunk_pl["TRAIT"].is_empty(): - raise HarmonizationError("TRAIT column is empty in the data") - if metadata.get("trait") is None: - # Initialize trait if it doesn't exist - metadata["trait"] = chunk_pl["TRAIT"].unique().to_list() - else: - # Append traits to existing list - metadata["trait"] += chunk_pl["TRAIT"].unique().to_list() - - # Write metadata to TileDB array - with tiledb.open(self.uri, mode='w') as array: - array.meta["metadata"] = json.dumps(metadata) - logger.info("Metadata created successfully") \ No newline at end of file + logger.info(f"Successfully appended chunk to TileDB") + except Exception as e: + logger.error(f"Failed to append chunk to TileDB: {e}") + raise + + def create_metadata(self): + """Create and store metadata in TileDB.""" + metadata = { + "file_path": self.file_path, + "pvar_file": self.pvar_file, + "type_sumstat": self.type_sumstat, + } + + if self.type_sumstat == "scqtl": + celltype = self.chunk_pl["CELL"].unique().to_list() + gene_list = self.chunk_pl["GENE"].unique().to_list() + if not celltype: + raise HarmonizationError("No cell types found in the data") + metadata["cell_type"] = celltype + metadata["genes"] = gene_list + else: + if "TRAIT" not in self.chunk_pl.columns: + raise HarmonizationError("TRAIT column is missing in the data") + if self.chunk_pl["TRAIT"].is_empty(): + raise HarmonizationError("TRAIT column is empty in the data") + metadata["trait"] = self.chunk_pl["TRAIT"].unique().to_list() + + with tiledb.open(self.uri, mode='w') as array: + array.meta["metadata"] = json.dumps(metadata) + + logger.info("Metadata created successfully") + + def run(self): + """Run the full harmonization + ingestion pipeline.""" + self.create_dtypes() + self.harmonize() + self.align_alleles() + self.ingest_data() + self.create_metadata() \ No newline at end of file From 3f4ae238730d1e2c766807a7ee063646eba61806 Mon Sep 17 00:00:00 2001 From: Bruno Ariano Date: Tue, 12 Aug 2025 14:46:34 +0200 Subject: [PATCH 04/61] Finalize ingestion and export --- scqtl/cli/export.py | 90 ++++++++++++------ scqtl/cli/ingestion.py | 80 +++++++++++----- scqtl/main.py | 4 +- scqtl/utils/create_tiledb_schema.py | 44 --------- scqtl/utils/harmonize_ingest.py | 142 ++++++++++++++++++++++------ scqtl/utils/ingest_metadata.py | 18 ---- scqtl/utils/locusbreaker.py | 33 ++++--- scqtl/utils/process_write_chunk.py | 30 ------ 8 files changed, 252 insertions(+), 189 deletions(-) delete mode 100644 scqtl/utils/create_tiledb_schema.py delete mode 100644 scqtl/utils/ingest_metadata.py delete mode 100644 scqtl/utils/process_write_chunk.py diff --git a/scqtl/cli/export.py b/scqtl/cli/export.py index d0fb55a..284e0e1 100644 --- a/scqtl/cli/export.py +++ b/scqtl/cli/export.py @@ -3,7 +3,7 @@ import cloup import pandas as pd from dask import delayed, compute -from scqtl.utils.process_write_chunk import process_write_chunk +#from scqtl.utils.process_write_chunk import process_write_chunk from scqtl.utils.locusbreaker import locus_breaker import numpy as np import os @@ -15,12 +15,13 @@ @cloup.command("export", no_args_is_help=True, help=help_doc) @cloup.option_group( "Options for querying specific chromosomes, cells, genes or positions in the TileDB", - cloup.option("--uri", default = None, type=str, help = "path of TileDB"), + cloup.option("--uri-path", default = None, type=str, help = "path of TileDB"), cloup.option("--chrom", default = None, type=int, help = "chromosome to filter (e.g. 1,2,3,4)"), + cloup.option("--trait", default = None, type=str, help = "Cell to interrogate"), cloup.option("--cell", default = None, type=str, help = "Cell to interrogate"), cloup.option("--gene", default = None, type=str, help = "Genes to interrogate"), cloup.option("--table_regions", default = None, type=str, help = "Regions to interrogate from a table"), - cloup.option("--attr", default = "P,SNP,DIST,AF,BETA,SE,N", type=str, help = "Attributes to output"), + cloup.option("--attr", default = "P,SNP,AF,BETA,SE,N", type=str, help = "Attributes to output"), cloup.option("--snp", default = None, type=str, help = "List of SNPs to interrogate taken from a txt file. Please check README for details on the format of this file") ) @@ -38,22 +39,24 @@ cloup.option("--maf", default = 0.01, type=float, help = "The MAF to filter the TILEDB before locusbreaker is run"), cloup.option("--category",default = "cis",type=str, help = "If locusbreaker run on cis or trans QLTs"), cloup.option("--table", default = None, type=str, help = "Path of the table to provide"), + cloup.option("--type-sumstat", default = None, type=str, help = "Path of the table to provide"), ) @cloup.option_group( "Options for output", cloup.option("--out_lb", default = "out", type=str, help = "Output path with file name where results will be stored"), cloup.option("--out_rg", default = "out", type=str, help = "Output path with file name where results will be stored") - ) @click.pass_context def export( ctx, - uri: str, + uri_path: str, schema: bool, chrom:int, cell: str, gene: str, + type_sumstat: str, + trait: str, table_regions: str, attr: str, snp: str, @@ -70,7 +73,7 @@ def export( ): #Open connection with TileDB - tiledb_export = tiledb.open(uri, mode="r") + tiledb_export = tiledb.open(uri_path, mode="r") client = ctx.obj.get("dask_cluster", None) #Print only the schema of the tiledb @@ -82,6 +85,8 @@ def export( cell = slice(None) if not gene: gene = slice(None) + if not trait: + trait = slice(None) if schema: print(tiledb_export.schema) @@ -95,25 +100,38 @@ def export( snp_list = pd.read_table(snp, dtype = {"CHR":str, "POS":np.uint32, "A0":str, "A1":str}) unique_positions = snp_list['position'].unique().tolist() #Open a streaming connection with TileDB - with tiledb_export as A: - tiledb_iterator = A.query( - return_incomplete=True - ).df[chrom_list, cell_list ,gene_list ,unique_positions] + for chrom in chrom_list: + if type_sumstat == "gwas": + chrom_list = snp_list['CHR'].unique().tolist() + with tiledb_export as A: + tiledb_iterator = A.query( + return_incomplete=True, + attrs=attr.split(",") + ).df[chrom, trait ,unique_positions] + else: + chrom_list = snp_list['CHR'].unique().tolist() + with tiledb_export as A: + tiledb_iterator = A.query( + return_incomplete=True, + attrs=attr.split(",") + ).df[chrom, cell , gene, unique_positions] #Open a streaming connection with output and run the function with open(out_rg + ".csv", mode="a") as f: for chunk in tiledb_iterator: - process_write_chunk(chunk, snp_list, f) + chunk.to_csv(out_rg + ".csv", mode="a", index=False, header = True) print(f"Saved filtered summary statistics by SNPs in {out_rg}.csv") client.close() elif table_regions: pd_region = pd.read_csv(table_regions) - pd_region[["CELL","GENE"]] = pd_region["TRAITID"].str.split(":", expand = True) counter_nonempty_region = 0 for ind, row in pd_region.iterrows(): - region = tiledb_export.query(dims = ["CHR","POS","CELL","GENE"], attrs = attr.split(",")).df[int(row["CHR"]),row["CELL"],row["GENE"],int(row["START"]):int(row["END"])] - region["TRAITID"] = str(row["CELL"] + ":" + row["GENE"]) - region["START"] = str(row["START"]) - region["END"] = str(row["END"]) + if type_sumstat == "gwas": + trait = row["TRAIT"] + region = tiledb_export.query(dims = ["CHR","POS","CELL","GENE"], attrs = attr.split(",")).df[int(row["CHR"]),trait,int(row["START"]):int(row["END"])] + + else: + cell,gene = row["TRAIT"].split(":") + region = tiledb_export.query(dims = ["CHR","POS","TRAIT"], attrs = attr.split(",")).df[int(row["CHR"]),cell,gene,int(row["START"]):int(row["END"])] if len(region)>0: if counter_nonempty_region==0: region.to_csv(out_rg, mode='a', index = False, header = True) @@ -129,24 +147,28 @@ def export( tasks = [] #Defining the Dask functions for delayed traits = pd.read_csv(table) - traits[["CELL","GENE"]] = traits["TRAITID"].str.split(":", expand = True) @delayed - def query_gene(uri, chrom, cell, gene): - with tiledb.open(uri, mode="r") as tiledb_data: - - tiledb_filtered = tiledb_data.query(dims=['CHR','CELL','GENE','POS'], attrs=['SNP', 'AF' , 'BETA', 'SE', 'P', 'N', 'DIST'],cond=f"AF >= {maf} and AF <= {1-maf}").df[chrom, cell ,gene , :] + def query_spec(uri_path, chrom, trait: str = None, cell: str = None, gene: str = None, type_sumstat:str = "scqtl"): + with tiledb.open(uri_path, mode="r") as tiledb_data: + if type_sumstat == "gwas": + tiledb_filtered = tiledb_data.query(dims=['CHR','TRAIT','POS'], attrs=['SNP', 'AF' , 'BETA', 'SE', 'P', 'N']).df[chrom, trait, :] + else: + tiledb_filtered = tiledb_data.query(dims=['CHR','CELL','GENE','POS'], attrs=['SNP', 'AF' , 'BETA', 'SE', 'P', 'N', 'DIST']).df[chrom, cell ,gene , :] return tiledb_filtered @delayed - def delayed_locus_breaker(tiledb_data, pvalue_sig, pvalue_limit, hole_size, phenovar, category): + def delayed_locus_breaker(tiledb_data, pvalue_sig, pvalue_limit, hole_size, phenovar, category, type_sumstat = "scqtl"): # Call locus_breaker with the computed tiledb_data - return locus_breaker(tiledb_data, pvalue_sig=pvalue_sig, pvalue_limit=pvalue_limit, hole_size=hole_size, phenovar = phenovar, category = category) + return locus_breaker(tiledb_data, pvalue_sig=pvalue_sig, pvalue_limit=pvalue_limit, hole_size=hole_size, phenovar = phenovar, category = category, type_sumstat = type_sumstat) for ind, row in traits.iterrows(): chrom = row["CHR"] - cell = row["CELL"] - gene = row["GENE"] - task = delayed_locus_breaker(query_gene(uri, chrom, cell, gene),pvalue_sig=pvalue_sig,pvalue_limit=pvalue_limit,hole_size=hole, phenovar = phenovar, category = category) + if type_sumstat == "gwas": + trait = row["TRAIT"] + else: + cell = row["CELL"] + gene = row["GENE"] + task = delayed_locus_breaker(query_spec(uri_path, chrom,trait = trait, cell = cell, gene = gene, type_sumstat = type_sumstat),pvalue_sig=pvalue_sig,pvalue_limit=pvalue_limit,hole_size=hole, phenovar = phenovar, category = category, type_sumstat = type_sumstat) tasks.append(task) #The batch size to use which is set to the number of workers if Dask is run @@ -173,10 +195,18 @@ def delayed_locus_breaker(tiledb_data, pvalue_sig, pvalue_limit, hole_size, phen #If no SNP or locusbreker is run only a filtering is done else: - with tiledb.open(uri, mode="r") as A: - tiledb_iterator = A.query( - return_incomplete=True - ).df[chrom, cell , gene, unique_positions] + with tiledb.open(uri_path, mode="r") as A: + if type_sumstat == "gwas": + tiledb_iterator = A.query( + return_incomplete=True, + attrs=attr.split(",") + ).df[chrom, trait , unique_positions] + else: + tiledb_iterator = A.query( + return_incomplete=True, + attrs=attr.split(",") + ).df[chrom, cell, gene , unique_positions] + for chunk in tiledb_iterator: chunk.to_csv(out_rg + ".csv", mode="a", index=False, header = True) print(f"Saved filtered summary statistics in {out_rg}") diff --git a/scqtl/cli/ingestion.py b/scqtl/cli/ingestion.py index 3824f51..a80a9c8 100644 --- a/scqtl/cli/ingestion.py +++ b/scqtl/cli/ingestion.py @@ -3,38 +3,68 @@ import os import click import cloup -from scqtl.utils.create_tiledb_schema import create_tiledb_schema -from scqtl.utils.harmonize_ingest import harmonize_ingest +from scqtl.utils.harmonize_ingest import Harmonize #import dask import pandas as pd -@cloup.command("ingestion", no_args_is_help=True, help="Ingest single cell QTL with TileDB") +@cloup.command("ingest", no_args_is_help=True, help="Ingest single cell QTL with TileDB") @cloup.option_group( "Essential parameters", - cloup.option("--uri", default = None, type=str, help = "Where to store the TileDB"), - cloup.option("--list_files", default = None, type=str, help = "List of the files to ingest"), - cloup.option("--pvar_file", default = None, type=str, help = "pvar file used to verify the alleles order"), - cloup.option("--type-sumstat", default = None, type=str, help = "Either gwas or scqtl, to specify the type of summary statistics being ingested. This is used to harmonize the data accordingly.") + cloup.option("--uri-path", default = None, type=str, help = "Where to store the TileDB"), + cloup.option("--file-path", default = None, type=str, help = "List of the files to ingest"), + cloup.option("--mapping-file", default = None, type=str, help = "List of the files to ingest"), + cloup.option("--type-sumstat", default = "scqtl", type=str, help = "Either gwas or scqtl, to specify the type of summary statistics being ingested. This is used to harmonize the data accordingly.") ) @cloup.option_group( "Optional parameters", - cloup.option("--batch_size", default = 1, type=int, help = "The number of files to ingest at once"), - cloup.option("--chunk_size", default = 50000000, type=int, help = "The number of rows to ingest at once"), + cloup.option("--pvar-file", default = None, type=str, help = "pvar file used to verify the alleles order"), + cloup.option("--batch-size", default = 1, type=int, help = "The number of files to ingest at once"), + cloup.option("--chunk-size", default = 50000000, type=int, help = "The number of rows to ingest at once"), ) -@click.pass_context -def ingestion(ctx, uri: str, chunk_size: int, batch_size: int, list_files:str, pvar_file:str,type_sumstat:str): - if not os.path.exists(uri): - create_tiledb_schema(uri, type_sumstat=type_sumstat) - file_list = open(list_files, "r").read().splitlines() - ctx.obj = { - "uri": uri, - "chunk_size": chunk_size, - "pvar_file": pvar_file, - "type_sumstat": type_sumstat - } + +def ingest(uri_path: str, mapping_file: str, chunk_size: int, batch_size: int, file_path:str, type_sumstat:str, pvar_file:str = None): + file_list = pd.read_csv(file_path, sep="\t", header=0, dtype=str) #This could be optimized with Dask - for i in range(0, len(file_list), batch_size): - batch_files = file_list[i:i + batch_size] - for file in batch_files: - harmonize_ingest(chunk_size, file, uri, pvar_file, type_sumstat="gwas") - print(f"Batch {i // batch_size + 1} completed.") + # Create a Harmonize object + harmonized_object = Harmonize(mapping_file= mapping_file, chunk_size=chunk_size , uri=uri_path, type_sumstat=type_sumstat) + #CHeck if the tiledb already exists, if not create it + if not os.path.exists(uri_path): + print(f"Creating TileDB at {uri_path}") + harmonized_object.create_tiledb() + else: + print(f"TileDB already exists at {uri_path}, skipping creation.") + harmonized_object.create_mapping() + cell = None + gene = None + trait = None + N = None + #for i in range(0, len(file_list), batch_size): + for record_index, record in file_list.iterrows(): + #batch_files = file_list[i:i + batch_size] + file = record["FILE"] + if "N" in file_list.columns: + N = record["N"] + if type_sumstat == "scqtl": + if ["CELL", "GENE"] in file_list.columns: + cell = record["CELL"] + gene = record["GENE"] + if type_sumstat == "gwas": + if "TRAIT" in file_list.columns: + trait = record["TRAIT"] + + if not os.path.exists(file): + print(f"File {file} does not exist. Skipping.") + continue + print(f"Processing file: {file}") + # Harmonize the data + print(f"Harmonizing file: {file}") + harmonized_object.harmonize(file, trait, cell, gene, N = N) + # Ingest the data + print(f"Ingesting data: {file}") + harmonized_object.ingest_data() + # Create metadata + harmonized_object.create_metadata(file_path = file) + + + #Harmonize(chunk_size, file, uri, pvar_file, type_sumstat="gwas") + #print(f"Batch {i // batch_size + 1} completed.") diff --git a/scqtl/main.py b/scqtl/main.py index 94046d0..8b08f48 100644 --- a/scqtl/main.py +++ b/scqtl/main.py @@ -4,7 +4,7 @@ from dask.distributed import Client import click import cloup -from scqtl.cli.ingestion import ingestion +from scqtl.cli.ingestion import ingest from scqtl.cli.export import export @cloup.group(name="main", help="Single cell analysis with TileDB", no_args_is_help=True) @cloup.option_group( @@ -36,7 +36,7 @@ def cli_init(ctx, workers: int, cores_w: int, memory_w: str, local_cluster: bool return ctx.obj def main(): - cli_init.add_command(ingestion) + cli_init.add_command(ingest) cli_init.add_command(export) cli_init(obj={}) diff --git a/scqtl/utils/create_tiledb_schema.py b/scqtl/utils/create_tiledb_schema.py deleted file mode 100644 index cb83c6a..0000000 --- a/scqtl/utils/create_tiledb_schema.py +++ /dev/null @@ -1,44 +0,0 @@ -import tiledb -import numpy as np - -def create_tiledb_schema(uri:str, type_sumstat:str): - pos_domain = (1, 300000000) # Example range for genomic positions - chr_domain = (1, 22) # Example range for genomic positions - #define the domain for chromosome, cell, gene and position - if type_sumstat not in ["gwas", "scqtl"]: - raise ValueError("type_sumstat must be either 'gwas' or 'scqtl'") - if type_sumstat == "gwas": - dom = tiledb.Domain( - tiledb.Dim(name="CHR", domain=chr_domain, dtype=np.uint16, filters=tiledb.FilterList([tiledb.ZstdFilter(level=5)])), - tiledb.Dim(name="TRAIT", dtype="ascii", var=True, filters=tiledb.FilterList([tiledb.ZstdFilter(level=5)])), - tiledb.Dim(name="POS", domain=pos_domain, dtype=np.uint32, filters=tiledb.FilterList([tiledb.ZstdFilter(level=5)])) - ) - elif type_sumstat == "scqtl": - # For scQTL, we need to define additional dimensions for CELL and GENE - dom = tiledb.Domain( - tiledb.Dim(name="CHR", domain=chr_domain, dtype=np.uint16, filters=tiledb.FilterList([tiledb.ZstdFilter(level=5)])), - tiledb.Dim(name="CELL", dtype="ascii", var=True, filters=tiledb.FilterList([tiledb.ZstdFilter(level=5)])), - tiledb.Dim(name="GENE", dtype="ascii", var=True, filters=tiledb.FilterList([tiledb.ZstdFilter(level=5)])), - tiledb.Dim(name="POS", domain=pos_domain, dtype=np.uint32, filters=tiledb.FilterList([tiledb.ZstdFilter(level=5)])) - ) - attributes=[ - tiledb.Attr(name="SNP", dtype="ascii", filters=tiledb.FilterList([tiledb.ZstdFilter(level=5)])), - tiledb.Attr(name="AF", dtype=np.float32, filters=tiledb.FilterList([tiledb.ZstdFilter(level=5)])), - tiledb.Attr(name="BETA", dtype=np.float32, filters=tiledb.FilterList([tiledb.ZstdFilter(level=5)])), - tiledb.Attr(name="SE", dtype=np.float32, filters=tiledb.FilterList([tiledb.ZstdFilter(level=5)])), - tiledb.Attr(name="P", dtype=np.float64, filters=tiledb.FilterList([tiledb.ZstdFilter(level=5)])), - tiledb.Attr(name="N", dtype=np.int64, filters=tiledb.FilterList([tiledb.ZstdFilter(level=5)])) - ] - if type_sumstat == "scqtl": - attributes = attributes + [ - tiledb.Attr(name="DIST", dtype=np.float32, filters=tiledb.FilterList([tiledb.ZstdFilter(level=5)])) - ] - schema = tiledb.ArraySchema( - domain=dom, - sparse=True, - allows_duplicates=True, - attrs = attributes - ) - tiledb.Array.create(uri, schema) - - diff --git a/scqtl/utils/harmonize_ingest.py b/scqtl/utils/harmonize_ingest.py index d0e0a57..8e7f5bd 100644 --- a/scqtl/utils/harmonize_ingest.py +++ b/scqtl/utils/harmonize_ingest.py @@ -17,30 +17,52 @@ class HarmonizationError(Exception): class Harmonize: - def __init__(self, file_mapping: str, chunk_size: int, file_path: str, uri: str, pvar_file: str, type_sumstat: str): - self.file_mapping = file_mapping + def __init__(self, mapping_file: str, chunk_size: int, uri: str, type_sumstat: str): + self.mapping_file = mapping_file self.chunk_size = chunk_size - self.file_path = file_path self.uri = uri - self.pvar_file = pvar_file self.type_sumstat = type_sumstat self.mapping_types = {} self.tiledb_types = {} self.dimension_tiledb = [] self.chunk_pl = None # will hold the harmonized dataframe - - def create_dtypes(self): - """Create the mapping and dtype definitions.""" - df = pd.read_csv(self.file_mapping, sep=r"\s+", header=None, names=["key", "value"]) + + def create_mapping(self): + df = pd.read_csv(self.mapping_file, header=None, names=["key", "value"]) + if df.empty: + raise HarmonizationError("Mapping file is empty or not formatted correctly.") self.mapping_types = dict(zip(df["key"], df["value"])) - + print(f"Mapping types: {self.mapping_types}") + print(f"Mapping values: {self.mapping_types.values()}") + #check that "BETA", "SE", "AF" are in the vlaues of the mapping_types + if not all(col in self.mapping_types.values() for col in ["BETA", "SE", "AF"]): + raise HarmonizationError("Mapping file must contain BETA, SE, and AF columns.") + # Check if CHR and POS or SNP are present + if not all(col for col in ["CHR", "POS"] if col in self.mapping_types.values()): + if "SNP" not in self.mapping_types.values(): + raise HarmonizationError("Mapping file must contain either CHR, and POS or SNP columns.") + + def create_tiledb(self): + """Create the mapping and dtype definitions.""" + pos_domain = (1, 300000000) # Example range for genomic positions + chr_domain = (1, 24) # Example range for genomic positions + attrs=[ + tiledb.Attr(name="SNP", dtype="ascii", filters=tiledb.FilterList([tiledb.ZstdFilter(level=5)])), + tiledb.Attr(name="RSID", dtype="ascii", filters=tiledb.FilterList([tiledb.ZstdFilter(level=5)])), + tiledb.Attr(name="AF", dtype=np.float32, filters=tiledb.FilterList([tiledb.ZstdFilter(level=5)])), + tiledb.Attr(name="BETA", dtype=np.float32, filters=tiledb.FilterList([tiledb.ZstdFilter(level=5)])), + tiledb.Attr(name="SE", dtype=np.float32, filters=tiledb.FilterList([tiledb.ZstdFilter(level=5)])), + tiledb.Attr(name="P", dtype=np.float64, filters=tiledb.FilterList([tiledb.ZstdFilter(level=5)])), + tiledb.Attr(name="N", dtype=np.int64, filters=tiledb.FilterList([tiledb.ZstdFilter(level=5)])) + ] + if self.type_sumstat == "gwas": self.tiledb_types = { "CHR": np.uint16, "TRAIT": str, "POS": np.uint32, "SNP": str, - "DIST": np.int64, + "RSID": str, "AF": np.float32, "BETA": np.float32, "SE": np.float32, @@ -48,6 +70,11 @@ def create_dtypes(self): "N": np.int64, } self.dimension_tiledb = ["CHR", "TRAIT", "POS"] + dom = tiledb.Domain( + tiledb.Dim(name="CHR", domain = chr_domain, dtype=np.uint16, filters=tiledb.FilterList([tiledb.ZstdFilter(level=5)])), + tiledb.Dim(name="TRAIT", dtype="ascii", var=True, filters=tiledb.FilterList([tiledb.ZstdFilter(level=5)]) ), + tiledb.Dim(name="POS", domain = pos_domain, dtype=np.uint32, filters=tiledb.FilterList([tiledb.ZstdFilter(level=5)])) + ) else: self.tiledb_types = { "CHR": np.uint16, @@ -55,6 +82,7 @@ def create_dtypes(self): "GENE": str, "POS": np.uint32, "SNP": str, + "RSID": str, "DIST": np.int64, "AF": np.float32, "BETA": np.float32, @@ -63,19 +91,42 @@ def create_dtypes(self): "N": np.int64, } self.dimension_tiledb = ["CHR", "CELL", "GENE", "POS"] + dom = tiledb.Domain( + tiledb.Dim(name="CHR", domain = chr_domain, dtype=np.uint16, filters=tiledb.FilterList([tiledb.ZstdFilter(level=5)])), + tiledb.Dim(name="CELL", dtype="ascii", var=True, filters=tiledb.FilterList([tiledb.ZstdFilter(level=5)]) ), + tiledb.Dim(name="GENE",dtype="ascii", var=True, filters=tiledb.FilterList([tiledb.ZstdFilter(level=5)]) ), + tiledb.Dim(name="POS", domain = pos_domain, dtype=np.uint32, filters=tiledb.FilterList([tiledb.ZstdFilter(level=5)])) + ) + + attributes = attributes + [ + tiledb.Attr(name="DIST", dtype=np.float32, filters=tiledb.FilterList([tiledb.ZstdFilter(level=5)])) + ] + schema = tiledb.ArraySchema( + domain=dom, + attrs=attrs, + sparse=True, + allows_duplicates=True + ) + tiledb.Array.create(self.uri, schema) + - def harmonize(self): + def harmonize(self, file_path, trait: str = None, cell: str = None, gene: str = None, N: int = None): """Load and rename columns, and ensure CHR/POS exist.""" self.chunk_pl = pl.read_csv( - self.file_path, + file_path, separator="\t", columns=list(self.mapping_types.keys()), low_memory=True, ) self.chunk_pl = self.chunk_pl.rename(self.mapping_types) - self.chunk_pl = self.chunk_pl.with_columns( - (pl.lit("chr") + pl.col("SNP")) - ) + + if not "N" in self.chunk_pl.columns: + if N is not None: + self.chunk_pl = self.chunk_pl.with_columns( + pl.lit(N).alias("N") + ) + else: + raise HarmonizationError("N column is missing and N parameter is not provided") # If CHR/POS missing, extract from SNP ID if "CHR" not in self.chunk_pl.columns or "POS" not in self.chunk_pl.columns: @@ -85,8 +136,47 @@ def harmonize(self): .struct.rename_fields(["CHR", "POS", "REF", "ALT"]) .alias("fields") ).unnest("fields") - - def align_alleles(self): + if "SNP" not in self.chunk_pl.columns: + self.chunk_pl = self.chunk_pl.with_columns( + pl.when(pl.col("REF") > pl.col("ALT")) + .then(pl.col("BETA")) + .otherwise(-pl.col("BETA")), + pl.when(pl.col("REF") > pl.col("ALT")) + .then(pl.col("AF")) + .otherwise(1.0 - pl.col("AF")) + ) + self.chunk_pl = self.chunk_pl.with_columns( + pl.concat_str( + pl.lit("chr"), + pl.col("CHR")).alias("chr_SNP")) + self.chunk_pl = self.chunk_pl.with_columns( + pl.concat_str( + pl.col("chr_SNP"), + pl.col("POS"), + pl.col("ALT"), + pl.col("REF"), + separator=":" + ).alias("SNP") + ) + + + if self.type_sumstat=="gwas": + if "TRAIT" not in self.chunk_pl.columns: + self.chunk_pl = self.chunk_pl.with_columns( + pl.lit(trait).alias("TRAIT") + ) + else: + if "CELL" not in self.chunk_pl.columns: + self.chunk_pl = self.chunk_pl.with_columns( + pl.lit(cell).alias("CELL") + ) + if "GENE" not in self.chunk_pl.columns: + self.chunk_pl = self.chunk_pl.with_columns( + pl.lit(gene).alias("GENE") + ) + + + def align_alleles(self, pvar_file: str): """Align alleles based on pvar file.""" if not self.pvar_file: raise HarmonizationError("pvar_file must be provided to verify alleles order") @@ -115,6 +205,9 @@ def align_alleles(self): def ingest_data(self): """Append harmonized data to TileDB.""" + pl.Config.set_tbl_cols(-1) + print(self.chunk_pl) + self.chunk_pl = self.chunk_pl.select(self.tiledb_types.keys()) try: tiledb.from_pandas( uri=self.uri, @@ -128,11 +221,10 @@ def ingest_data(self): logger.error(f"Failed to append chunk to TileDB: {e}") raise - def create_metadata(self): + def create_metadata(self, file_path: str, pvar_file: str = None): """Create and store metadata in TileDB.""" metadata = { - "file_path": self.file_path, - "pvar_file": self.pvar_file, + "file_path": file_path, "type_sumstat": self.type_sumstat, } @@ -153,12 +245,4 @@ def create_metadata(self): with tiledb.open(self.uri, mode='w') as array: array.meta["metadata"] = json.dumps(metadata) - logger.info("Metadata created successfully") - - def run(self): - """Run the full harmonization + ingestion pipeline.""" - self.create_dtypes() - self.harmonize() - self.align_alleles() - self.ingest_data() - self.create_metadata() \ No newline at end of file + logger.info("Metadata created successfully") \ No newline at end of file diff --git a/scqtl/utils/ingest_metadata.py b/scqtl/utils/ingest_metadata.py deleted file mode 100644 index 6ebd4f8..0000000 --- a/scqtl/utils/ingest_metadata.py +++ /dev/null @@ -1,18 +0,0 @@ -import pandas as pd - -existing_gene_celltype = {} - with tiledb.open(uri, mode="r") as A: - if "GENE_CELLTYPE" in A.meta: - existing_gene_celltype = json.loads(A.meta["GENE_CELLTYPE"]) - - with tiledb.open(uri, mode="w") as A: - if not existing_gene_celltype: # If GENE_CELLTYPE doesn't exist yet - new_dict = {file[1]: chunk_pl["phenotype_id"].unique().to_list()} - A.meta["GENE_CELLTYPE"] = json.dumps(new_dict) - else: - if file[1] not in existing_gene_celltype: - existing_gene_celltype[file[1]] = chunk_pl["phenotype_id"].unique().to_list() - else: - # Append new cell types to the existing list - existing_gene_celltype[file[1]].extend(chunk_pl["phenotype_id"].unique().to_list()) - A.meta["GENE_CELLTYPE"] = json.dumps(existing_gene_celltype) diff --git a/scqtl/utils/locusbreaker.py b/scqtl/utils/locusbreaker.py index 62aa74f..8d74830 100644 --- a/scqtl/utils/locusbreaker.py +++ b/scqtl/utils/locusbreaker.py @@ -8,7 +8,8 @@ def locus_breaker( pvalue_limit: float = 5e-6, hole_size: int = 250000, phenovar: bool = False, - category: bool = False + category: bool = False, + type_sumstat: str = "scqtl", ) -> pd.DataFrame: """ Breaking genome in loci and returning all SNPs within the defined loci boundaries. @@ -19,10 +20,10 @@ def locus_breaker( :param phenovar: Compute phenotypic variance or not :param category: cis/trans filter for SNPs based on distance :param expansion_size: Number of base pairs to expand loci boundaries + :param type_sumstat: Type of summary statistics, either "gwas" or "scqtl" :return: Two DataFrames, one with loci regions and another with all SNPs in loci """ # Create a copy of the original dataset before filtering - tiledb_data["TRAITID"] = tiledb_data['CELL'] + ":" + tiledb_data['GENE'] original_data = tiledb_data.copy() if phenovar: @@ -37,14 +38,20 @@ def locus_breaker( return [] # Apply cis/trans filtering if needed - if category == "cis": - loci_snps = loci_snps[(loci_snps["DIST"] > -1000000) & (loci_snps["DIST"] < 1000000)] - elif category == "trans": - loci_snps = loci_snps[(loci_snps["DIST"] < -1000000) | (loci_snps["DIST"] > 1000000)] + if type_sumstat == "scqtl": + if category == "cis": + loci_snps = loci_snps[(loci_snps["DIST"] > -1000000) & (loci_snps["DIST"] < 1000000)] + elif category == "trans": + loci_snps = loci_snps[(loci_snps["DIST"] < -1000000) | (loci_snps["DIST"] > 1000000)] trait_res = [] all_snp_res = [] - for gene, gene_df in loci_snps.groupby("GENE"): + if type_sumstat == "gwas": + grouped_loci = loci_snps.groupby(["CHR", "TRAIT"]) + else: + grouped_loci = loci_snps.groupby(["CHR", "CELL", "GENE"]) + + for gene, gene_df in grouped_loci: gaps = gene_df["POS"].diff() > hole_size group = gaps.cumsum() for _, group_df in gene_df.groupby(group): @@ -71,9 +78,13 @@ def locus_breaker( # Convert to DataFrames columns = ["START", "END", "SNP_POS", "SNP_PVAL"] + tiledb_data.columns.tolist() - - trait_res_df = pd.DataFrame(trait_res, columns=columns).drop(columns=["POS", "P", "GENE", "CELL"]) - columns = ["REGION", "SNP_POS", "SNP_PVAL"] + tiledb_data.columns.tolist() + ["S"] - all_snp_df = pd.DataFrame(all_snp_res, columns=columns).drop(columns=["SNP_POS", "SNP_PVAL", "GENE", "CELL"]) + if type_sumstat == "gwas": + trait_res_df = pd.DataFrame(trait_res, columns=columns).drop(columns=["POS", "P", "TRAIT"]) + columns = ["REGION", "SNP_POS", "SNP_PVAL"] + tiledb_data.columns.tolist() + ["S"] + all_snp_df = pd.DataFrame(all_snp_res, columns=columns).drop(columns=["SNP_POS", "SNP_PVAL", "TRAIT"]) + else: + trait_res_df = pd.DataFrame(trait_res, columns=columns).drop(columns=["POS", "P", "GENE", "CELL"]) + columns = ["REGION", "SNP_POS", "SNP_PVAL"] + tiledb_data.columns.tolist() + ["S"] + all_snp_df = pd.DataFrame(all_snp_res, columns=columns).drop(columns=["SNP_POS", "SNP_PVAL", "GENE", "CELL"]) return [trait_res_df, all_snp_df] \ No newline at end of file diff --git a/scqtl/utils/process_write_chunk.py b/scqtl/utils/process_write_chunk.py deleted file mode 100644 index ea82faa..0000000 --- a/scqtl/utils/process_write_chunk.py +++ /dev/null @@ -1,30 +0,0 @@ -#Function writte in polars to intersect a list of SNP in input with a TileDB chunk -import polars as pl -import dask.delayed as delayed - -@delayed -def process_write_chunk(chunk, SNP_list, file_stream): - SNP_list_polars = pl.DataFrame(SNP_list) - chunk_polars = pl.DataFrame(chunk) - #Split SNPs in realite fields - chunk_polars = chunk_polars.with_columns( - pl.col("SNP").str.split_exact("_", 3) - .struct.rename_fields(["pos",'A0','A1']) - .alias("fields") - ).unnest('fields') - #Change types of dataframe - chunk_polars = chunk_polars.with_columns([ - pl.col("position").cast(pl.UInt32), - pl.col("A0").cast(pl.String), - pl.col("A1").cast(pl.String) - ]) - - # Perform the join operation with Polars - subset_SNPs_merge = chunk_polars.join( - SNP_list_polars, - on=['position'], - how="inner" - ) - subset_SNPs_merge = subset_SNPs_merge.select('cell_type', 'gene', 'SNP', 'position', 'allele0', 'allele1', 'af', 'beta', 'se', 'p-value') - #Append the merged chunk to CSV - subset_SNPs_merge.write_csv(file_stream) From d50c0e7466c981b7cea83511cea074edd0101c83 Mon Sep 17 00:00:00 2001 From: bruno-ariano Date: Thu, 14 Aug 2025 11:10:09 +0200 Subject: [PATCH 05/61] test change --- docs/README.md | 2 +- 1 file changed, 1 insertion(+), 1 deletion(-) diff --git a/docs/README.md b/docs/README.md index 5bca34b..b0f633e 100644 --- a/docs/README.md +++ b/docs/README.md @@ -25,7 +25,7 @@ Commands: ```
- +test ## Ingestion To ingest new data into a TileDB use the ```ingestion``` option of the program. To check all the possible option that can be given below. From 9f3e28f2d54763f44f19901a55462b7018131c85 Mon Sep 17 00:00:00 2001 From: bruno-ariano Date: Mon, 18 Aug 2025 16:22:26 +0200 Subject: [PATCH 06/61] Finalizing metadata and ingestion --- Makefile | 4 +- main.nf | 0 poetry.lock | 1947 ++++++++++++++++--------------- pyproject.toml | 46 +- scqtl/cli/export.py | 9 +- scqtl/cli/ingestion.py | 8 +- scqtl/main.py | 3 +- scqtl/utils/harmonize_ingest.py | 117 +- 8 files changed, 1085 insertions(+), 1049 deletions(-) delete mode 100644 main.nf diff --git a/Makefile b/Makefile index f2aa11e..36be651 100644 --- a/Makefile +++ b/Makefile @@ -24,7 +24,7 @@ deploy: poetry install install: build - pip install dist/*.whl + pip install dist/*.whl --force-reinstall editable_install: build pip install --editable . @@ -33,4 +33,4 @@ tag: git tag v${VERSION} uninstall: - pip uninstall -y ${APPNAME} \ No newline at end of file + pip uninstall -y ${APPNAME} diff --git a/main.nf b/main.nf deleted file mode 100644 index e69de29..0000000 diff --git a/poetry.lock b/poetry.lock index c8b9d26..4ba78ec 100644 --- a/poetry.lock +++ b/poetry.lock @@ -1,4 +1,4 @@ -# This file is automatically @generated by Poetry 2.1.2 and should not be changed by hand. +# This file is automatically @generated by Poetry 1.8.3 and should not be changed by hand. 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type = ["pytest-mypy"] [metadata] -lock-version = "2.1" +lock-version = "2.0" python-versions = ">=3.10,<3.13" -content-hash = "47734ff3ecbeb45a87273ac4152b4a66792f5fc7d9a000384b45b814aeef20c4" +content-hash = "58590dacd44eaa5a3c059a9d714f9110a859fd788b8c54a578d571199518d382" diff --git a/pyproject.toml b/pyproject.toml index 7d3fea7..81b25da 100644 --- a/pyproject.toml +++ b/pyproject.toml @@ -1,30 +1,25 @@ -[project] +[tool.poetry] name = "scqtl" -version = "0.1" -description = "" -authors = [ - {name = "Bruno Ariano",email = "bruno.ariano@fht.org"} -] +version = "0.1.0" +description = "TileDB summary statistics utilities" +authors = ["Bruno Ariano "] readme = "README.md" -requires-python = ">=3.10,<3.13" -dependencies = [ - "appdirs (>=1.4.4,<2.0.0)", - "click (>=8.1.8,<9.0.0)", - "tiledb (>=0.33.2,<0.34.0)", - "cloup (>=3.0.5,<4.0.0)", - "loguru (>=0.7.3,<0.8.0)", - "numpy (>=2.2.1,<3.0.0)", - "scipy (>=1.14)", - "dask (>=2024.12.1,<2025.0.0)", - "dask-jobqueue (>=0.9.0,<0.10.0)", 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@@ -127,11 +127,11 @@ def export( for ind, row in pd_region.iterrows(): if type_sumstat == "gwas": trait = row["TRAIT"] - region = tiledb_export.query(dims = ["CHR","POS","CELL","GENE"], attrs = attr.split(",")).df[int(row["CHR"]),trait,int(row["START"]):int(row["END"])] + region = tiledb_export.query(dims = ["CHR","POS", "TRAIT"], attrs = attr.split(",")).df[int(row["CHR"]),trait,int(row["START"]):int(row["END"])] else: cell,gene = row["TRAIT"].split(":") - region = tiledb_export.query(dims = ["CHR","POS","TRAIT"], attrs = attr.split(",")).df[int(row["CHR"]),cell,gene,int(row["START"]):int(row["END"])] + region = tiledb_export.query(dims = ["CHR","POS","CELL","GENE"], attrs = attr.split(",")).df[int(row["CHR"]),cell,gene,int(row["START"]):int(row["END"])] if len(region)>0: if counter_nonempty_region==0: region.to_csv(out_rg, mode='a', index = False, header = True) @@ -166,8 +166,8 @@ def delayed_locus_breaker(tiledb_data, pvalue_sig, pvalue_limit, hole_size, phen if type_sumstat == "gwas": trait = row["TRAIT"] else: - cell = row["CELL"] - gene = row["GENE"] + cell,gene = row["TRAIT"].split(":") + task = delayed_locus_breaker(query_spec(uri_path, chrom,trait = trait, cell = cell, gene = gene, type_sumstat = type_sumstat),pvalue_sig=pvalue_sig,pvalue_limit=pvalue_limit,hole_size=hole, phenovar = phenovar, category = category, type_sumstat = type_sumstat) tasks.append(task) @@ -181,6 +181,7 @@ def delayed_locus_breaker(tiledb_data, pvalue_sig, pvalue_limit, hole_size, phen batch = tasks[i:i+batch_size] batch_results = compute(*batch) # Compute the batch for result in batch_results: + print(result) #if not len(result) == 0 and not result[0].empty: if result and isinstance(result[0], pd.DataFrame) and not result[0].shape[0] == 0: interval = result[0] diff --git a/scqtl/cli/ingestion.py b/scqtl/cli/ingestion.py index a80a9c8..6afcf51 100644 --- a/scqtl/cli/ingestion.py +++ b/scqtl/cli/ingestion.py @@ -13,7 +13,7 @@ cloup.option("--uri-path", default = None, type=str, help = "Where to store the TileDB"), cloup.option("--file-path", default = None, type=str, help = "List of the files to ingest"), cloup.option("--mapping-file", default = None, type=str, help = "List of the files to ingest"), - cloup.option("--type-sumstat", default = "scqtl", type=str, help = "Either gwas or scqtl, to specify the type of summary statistics being ingested. This is used to harmonize the data accordingly.") + cloup.option("--type-sumstat", default = "qtl", type=str, help = "Either gwas or qtl, to specify the type of summary statistics being ingested. This is used to harmonize the data accordingly.") ) @cloup.option_group( "Optional parameters", @@ -44,10 +44,12 @@ def ingest(uri_path: str, mapping_file: str, chunk_size: int, batch_size: int, f file = record["FILE"] if "N" in file_list.columns: N = record["N"] - if type_sumstat == "scqtl": - if ["CELL", "GENE"] in file_list.columns: + if type_sumstat == "qtl": + if "CELL" in file_list.columns: cell = record["CELL"] + if "GENE" in file_list.columns: gene = record["GENE"] + if type_sumstat == "gwas": if "TRAIT" in file_list.columns: trait = record["TRAIT"] diff --git a/scqtl/main.py b/scqtl/main.py index 8b08f48..c7b6378 100644 --- a/scqtl/main.py +++ b/scqtl/main.py @@ -6,7 +6,8 @@ import cloup from scqtl.cli.ingestion import ingest from scqtl.cli.export import export -@cloup.group(name="main", help="Single cell analysis with TileDB", no_args_is_help=True) + +@cloup.group(name="scqtl", help="Single cell analysis with TileDB", no_args_is_help=True) @cloup.option_group( "Dask cluster options", cloup.option("--workers", default = None, type=int, help = "Number of workers to use in the Dask cluster"), diff --git a/scqtl/utils/harmonize_ingest.py b/scqtl/utils/harmonize_ingest.py index 8e7f5bd..ed58810 100644 --- a/scqtl/utils/harmonize_ingest.py +++ b/scqtl/utils/harmonize_ingest.py @@ -32,8 +32,6 @@ def create_mapping(self): if df.empty: raise HarmonizationError("Mapping file is empty or not formatted correctly.") self.mapping_types = dict(zip(df["key"], df["value"])) - print(f"Mapping types: {self.mapping_types}") - print(f"Mapping values: {self.mapping_types.values()}") #check that "BETA", "SE", "AF" are in the vlaues of the mapping_types if not all(col in self.mapping_types.values() for col in ["BETA", "SE", "AF"]): raise HarmonizationError("Mapping file must contain BETA, SE, and AF columns.") @@ -57,18 +55,7 @@ def create_tiledb(self): ] if self.type_sumstat == "gwas": - self.tiledb_types = { - "CHR": np.uint16, - "TRAIT": str, - "POS": np.uint32, - "SNP": str, - "RSID": str, - "AF": np.float32, - "BETA": np.float32, - "SE": np.float32, - "P": np.float64, - "N": np.int64, - } + self.dimension_tiledb = ["CHR", "TRAIT", "POS"] dom = tiledb.Domain( tiledb.Dim(name="CHR", domain = chr_domain, dtype=np.uint16, filters=tiledb.FilterList([tiledb.ZstdFilter(level=5)])), @@ -76,20 +63,7 @@ def create_tiledb(self): tiledb.Dim(name="POS", domain = pos_domain, dtype=np.uint32, filters=tiledb.FilterList([tiledb.ZstdFilter(level=5)])) ) else: - self.tiledb_types = { - "CHR": np.uint16, - "CELL": str, - "GENE": str, - "POS": np.uint32, - "SNP": str, - "RSID": str, - "DIST": np.int64, - "AF": np.float32, - "BETA": np.float32, - "SE": np.float32, - "P": np.float64, - "N": np.int64, - } + self.dimension_tiledb = ["CHR", "CELL", "GENE", "POS"] dom = tiledb.Domain( tiledb.Dim(name="CHR", domain = chr_domain, dtype=np.uint16, filters=tiledb.FilterList([tiledb.ZstdFilter(level=5)])), @@ -98,7 +72,7 @@ def create_tiledb(self): tiledb.Dim(name="POS", domain = pos_domain, dtype=np.uint32, filters=tiledb.FilterList([tiledb.ZstdFilter(level=5)])) ) - attributes = attributes + [ + attrs = attrs + [ tiledb.Attr(name="DIST", dtype=np.float32, filters=tiledb.FilterList([tiledb.ZstdFilter(level=5)])) ] schema = tiledb.ArraySchema( @@ -115,8 +89,8 @@ def harmonize(self, file_path, trait: str = None, cell: str = None, gene: str = self.chunk_pl = pl.read_csv( file_path, separator="\t", - columns=list(self.mapping_types.keys()), - low_memory=True, + #columns=list(self.mapping_types.keys()), + low_memory=True ) self.chunk_pl = self.chunk_pl.rename(self.mapping_types) @@ -161,11 +135,38 @@ def harmonize(self, file_path, trait: str = None, cell: str = None, gene: str = if self.type_sumstat=="gwas": + + self.tiledb_types = { + "CHR": np.uint16, + "TRAIT": str, + "POS": np.uint32, + "SNP": str, + "RSID": str, + "AF": np.float32, + "BETA": np.float32, + "SE": np.float32, + "P": np.float64, + "N": np.int64, + } if "TRAIT" not in self.chunk_pl.columns: self.chunk_pl = self.chunk_pl.with_columns( pl.lit(trait).alias("TRAIT") ) else: + self.tiledb_types = { + "CHR": np.uint16, + "CELL": str, + "GENE": str, + "POS": np.uint32, + "SNP": str, + "RSID": str, + "DIST": np.int64, + "AF": np.float32, + "BETA": np.float32, + "SE": np.float32, + "P": np.float64, + "N": np.int64, + } if "CELL" not in self.chunk_pl.columns: self.chunk_pl = self.chunk_pl.with_columns( pl.lit(cell).alias("CELL") @@ -174,6 +175,10 @@ def harmonize(self, file_path, trait: str = None, cell: str = None, gene: str = self.chunk_pl = self.chunk_pl.with_columns( pl.lit(gene).alias("GENE") ) + if "RSID" not in self.chunk_pl.columns: + self.chunk_pl = self.chunk_pl.with_columns( + pl.lit("None").alias("RSID") + ) def align_alleles(self, pvar_file: str): @@ -205,8 +210,7 @@ def align_alleles(self, pvar_file: str): def ingest_data(self): """Append harmonized data to TileDB.""" - pl.Config.set_tbl_cols(-1) - print(self.chunk_pl) + pl.Config.set_tbl_cols(-1) self.chunk_pl = self.chunk_pl.select(self.tiledb_types.keys()) try: tiledb.from_pandas( @@ -223,24 +227,53 @@ def ingest_data(self): def create_metadata(self, file_path: str, pvar_file: str = None): """Create and store metadata in TileDB.""" - metadata = { + tiledb_existing = tiledb.open(self.uri) + if "metadata" in tiledb_existing.meta: + metadata = json.loads(tiledb_existing.meta["metadata"]) + else: + metadata = { "file_path": file_path, "type_sumstat": self.type_sumstat, - } + "celltype": [], + "trait": [] + } - if self.type_sumstat == "scqtl": - celltype = self.chunk_pl["CELL"].unique().to_list() - gene_list = self.chunk_pl["GENE"].unique().to_list() - if not celltype: + if self.type_sumstat == "qtl": + # Get unique cell types + celltypes = self.chunk_pl["CELL"].unique().to_list() + if not celltypes: raise HarmonizationError("No cell types found in the data") - metadata["cell_type"] = celltype - metadata["genes"] = gene_list + + # Loop over each cell type + for cell in celltypes: + if cell not in metadata["celltype"]: + metadata["celltype"].append(cell) + metadata[cell] = {} + + # Filter by this cell type + df_cell = self.chunk_pl.filter(self.chunk_pl["CELL"] == cell) + + # Group by chromosome and collect unique genes + + chr_gene_map = df_cell.group_by("CHR").agg(pl.col("GENE").unique().alias("genes")) + # Append to metadata, making sure we extend if already exists + for row in chr_gene_map.iter_rows(named=True): + chrom = row["CHR"] + genes = row["genes"] + if chrom in metadata[cell]: + existing = set(metadata[cell][chrom]) + metadata[cell][chrom].extend([g for g in genes if g not in existing]) + else: + metadata[cell][chrom] = genes else: if "TRAIT" not in self.chunk_pl.columns: raise HarmonizationError("TRAIT column is missing in the data") if self.chunk_pl["TRAIT"].is_empty(): raise HarmonizationError("TRAIT column is empty in the data") - metadata["trait"] = self.chunk_pl["TRAIT"].unique().to_list() + traits = self.chunk_pl["TRAIT"].unique().to_list() + for record in traits: + if record not in metadata["trait"]: + metadata["trait"].append(record) with tiledb.open(self.uri, mode='w') as array: array.meta["metadata"] = json.dumps(metadata) From 55328f83cf25e741f1a82421d4140c65899f3a95 Mon Sep 17 00:00:00 2001 From: bruno-ariano Date: Tue, 19 Aug 2025 09:22:51 +0200 Subject: [PATCH 07/61] Add qc --- poetry.lock | 1835 +++++++++++++++++++++++++++---- pyproject.toml | 3 +- scqtl/cli/export.py | 6 +- scqtl/cli/ingestion.py | 17 +- scqtl/utils/harmonize_ingest.py | 91 +- scqtl/utils/locusbreaker.py | 4 +- 6 files changed, 1729 insertions(+), 227 deletions(-) diff --git a/poetry.lock b/poetry.lock index 4ba78ec..9c3a9a5 100644 --- a/poetry.lock +++ b/poetry.lock @@ -1,4 +1,20 @@ -# This file is automatically @generated by Poetry 1.8.3 and should not be changed by hand. +# This file is automatically @generated by Poetry 2.1.4 and should not be changed by hand. + +[[package]] +name = "adjusttext" +version = "0.8" +description = "Iteratively adjust text position in matplotlib plots to minimize overlaps" +optional = false +python-versions = "*" +groups = ["main"] +files = [ + {file = "adjustText-0.8-py3-none-any.whl", hash = "sha256:6da99f9d739c496f79346753a3fcadb6354d8d09699cde112fed46cfb837d271"}, + {file = "adjustText-0.8.tar.gz", hash = "sha256:bb0682bb53abb626d6afc9c1db108ccb67f2c35ddc8d20ac6a802c756c07ee17"}, +] + +[package.dependencies] +matplotlib = "*" +numpy = "*" [[package]] name = "aiohappyeyeballs" @@ -6,6 +22,7 @@ version = "2.6.1" description = "Happy Eyeballs for asyncio" optional = false python-versions = ">=3.9" +groups = ["main"] files = [ {file = "aiohappyeyeballs-2.6.1-py3-none-any.whl", hash = "sha256:f349ba8f4b75cb25c99c5c2d84e997e485204d2902a9597802b0371f09331fb8"}, {file = "aiohappyeyeballs-2.6.1.tar.gz", hash = "sha256:c3f9d0113123803ccadfdf3f0faa505bc78e6a72d1cc4806cbd719826e943558"}, @@ -17,6 +34,7 @@ version = "3.12.15" description = "Async http client/server framework (asyncio)" optional = false 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description = "Virtual Python Environment builder" optional = false python-versions = ">=3.8" +groups = ["dev"] files = [ {file = "virtualenv-20.34.0-py3-none-any.whl", hash = "sha256:341f5afa7eee943e4984a9207c025feedd768baff6753cd660c857ceb3e36026"}, {file = "virtualenv-20.34.0.tar.gz", hash = "sha256:44815b2c9dee7ed86e387b842a84f20b93f7f417f95886ca1996a72a4138eb1a"}, @@ -1987,7 +3440,7 @@ typing-extensions = {version = ">=4.13.2", markers = "python_version < \"3.11\"" [package.extras] docs = ["furo (>=2023.7.26)", "proselint (>=0.13)", "sphinx (>=7.1.2,!=7.3)", "sphinx-argparse (>=0.4)", "sphinxcontrib-towncrier (>=0.2.1a0)", "towncrier (>=23.6)"] -test = ["covdefaults (>=2.3)", "coverage (>=7.2.7)", "coverage-enable-subprocess (>=1)", "flaky (>=3.7)", "packaging (>=23.1)", "pytest (>=7.4)", "pytest-env (>=0.8.2)", "pytest-freezer (>=0.4.8)", "pytest-mock (>=3.11.1)", "pytest-randomly (>=3.12)", "pytest-timeout (>=2.1)", "setuptools (>=68)", "time-machine (>=2.10)"] +test = ["covdefaults (>=2.3)", "coverage (>=7.2.7)", "coverage-enable-subprocess (>=1)", "flaky (>=3.7)", "packaging (>=23.1)", "pytest (>=7.4)", "pytest-env (>=0.8.2)", "pytest-freezer (>=0.4.8) ; platform_python_implementation == \"PyPy\" or platform_python_implementation == \"GraalVM\" or platform_python_implementation == \"CPython\" and sys_platform == \"win32\" and python_version >= \"3.13\"", "pytest-mock (>=3.11.1)", "pytest-randomly (>=3.12)", "pytest-timeout (>=2.1)", "setuptools (>=68)", "time-machine (>=2.10) ; platform_python_implementation == \"CPython\""] [[package]] name = "win32-setctime" @@ -1995,13 +3448,15 @@ version = "1.2.0" description = "A small Python utility to set file creation time on Windows" optional = false python-versions = ">=3.5" +groups = ["main"] +markers = "sys_platform == \"win32\"" files = [ {file = "win32_setctime-1.2.0-py3-none-any.whl", hash = "sha256:95d644c4e708aba81dc3704a116d8cbc974d70b3bdb8be1d150e36be6e9d1390"}, {file = 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{file = "zict-3.0.0.tar.gz", hash = "sha256:e321e263b6a97aafc0790c3cfb3c04656b7066e6738c37fffcca95d803c9fba5"}, @@ -2138,13 +3595,15 @@ version = "3.23.0" description = "Backport of pathlib-compatible object wrapper for zip files" optional = false python-versions = ">=3.9" +groups = ["main"] +markers = "python_version < \"3.12\"" files = [ {file = "zipp-3.23.0-py3-none-any.whl", hash = "sha256:071652d6115ed432f5ce1d34c336c0adfd6a884660d1e9712a256d3d3bd4b14e"}, {file = "zipp-3.23.0.tar.gz", hash = "sha256:a07157588a12518c9d4034df3fbbee09c814741a33ff63c05fa29d26a2404166"}, ] [package.extras] -check = ["pytest-checkdocs (>=2.4)", "pytest-ruff (>=0.2.1)"] +check = ["pytest-checkdocs (>=2.4)", "pytest-ruff (>=0.2.1) ; sys_platform != \"cygwin\""] cover = ["pytest-cov"] doc = ["furo", "jaraco.packaging (>=9.3)", "jaraco.tidelift (>=1.4)", "rst.linker (>=1.9)", "sphinx (>=3.5)", "sphinx-lint"] enabler = ["pytest-enabler (>=2.2)"] @@ -2152,6 +3611,6 @@ test = ["big-O", "jaraco.functools", "jaraco.itertools", "jaraco.test", "more_it type = ["pytest-mypy"] [metadata] -lock-version = "2.0" +lock-version = "2.1" python-versions = ">=3.10,<3.13" -content-hash = "58590dacd44eaa5a3c059a9d714f9110a859fd788b8c54a578d571199518d382" +content-hash = "34514208378ce759ac89e35ecbf8221913307c14d3ca9ccba803a2dc8617d843" diff --git a/pyproject.toml b/pyproject.toml index 81b25da..12b789e 100644 --- a/pyproject.toml +++ b/pyproject.toml @@ -12,7 +12,8 @@ click = ">=8.1.8,<9.0.0" tiledb = ">=0.33.2,<0.34.0" cloup = ">=3.0.5,<4.0.0" loguru = ">=0.7.3,<0.8.0" -numpy = ">=2.2.1,<3.0.0" +numpy = ">=1.21.2,<2.0.0" +gwaslab = "^3.6.6" scipy = ">=1.14" dask = ">=2024.12.1,<2025.0.0" dask-jobqueue = ">=0.9.0,<0.10.0" diff --git a/scqtl/cli/export.py b/scqtl/cli/export.py index 8eaa74b..6e35cae 100644 --- a/scqtl/cli/export.py +++ b/scqtl/cli/export.py @@ -21,7 +21,7 @@ cloup.option("--cell", default = None, type=str, help = "Cell to interrogate"), cloup.option("--gene", default = None, type=str, help = "Genes to interrogate"), cloup.option("--table_regions", default = None, type=str, help = "Regions to interrogate from a table"), - cloup.option("--attr", default = "P,SNP,AF,BETA,SE,N", type=str, help = "Attributes to output"), + cloup.option("--attr", default = "P,SNPID,EAF,BETA,SE,N", type=str, help = "Attributes to output"), cloup.option("--snp", default = None, type=str, help = "List of SNPs to interrogate taken from a txt file. Please check README for details on the format of this file") ) @@ -151,9 +151,9 @@ def export( def query_spec(uri_path, chrom, trait: str = None, cell: str = None, gene: str = None, type_sumstat:str = "scqtl"): with tiledb.open(uri_path, mode="r") as tiledb_data: if type_sumstat == "gwas": - tiledb_filtered = tiledb_data.query(dims=['CHR','TRAIT','POS'], attrs=['SNP', 'AF' , 'BETA', 'SE', 'P', 'N']).df[chrom, trait, :] + tiledb_filtered = tiledb_data.query(dims=['CHR','TRAIT','POS'], attrs=['SNPID', 'EAF' , 'BETA', 'SE', 'P', 'N']).df[chrom, trait, :] else: - tiledb_filtered = tiledb_data.query(dims=['CHR','CELL','GENE','POS'], attrs=['SNP', 'AF' , 'BETA', 'SE', 'P', 'N', 'DIST']).df[chrom, cell ,gene , :] + tiledb_filtered = tiledb_data.query(dims=['CHR','CELL','GENE','POS'], attrs=['SNPID', 'EAF' , 'BETA', 'SE', 'P', 'N', 'DIST']).df[chrom, cell ,gene , :] return tiledb_filtered @delayed diff --git a/scqtl/cli/ingestion.py b/scqtl/cli/ingestion.py index 6afcf51..7be113f 100644 --- a/scqtl/cli/ingestion.py +++ b/scqtl/cli/ingestion.py @@ -6,6 +6,7 @@ from scqtl.utils.harmonize_ingest import Harmonize #import dask import pandas as pd +import polars as pl @cloup.command("ingest", no_args_is_help=True, help="Ingest single cell QTL with TileDB") @cloup.option_group( @@ -20,13 +21,16 @@ cloup.option("--pvar-file", default = None, type=str, help = "pvar file used to verify the alleles order"), cloup.option("--batch-size", default = 1, type=int, help = "The number of files to ingest at once"), cloup.option("--chunk-size", default = 50000000, type=int, help = "The number of rows to ingest at once"), + cloup.option("--qc", is_flag=True, type=bool, default = False, help = "Harmonize and QC the summary statistics using gwaslab"), + cloup.option("--format-qc", type=bool, default = False, help = "Harmonize and QC the summary statistics using gwaslab"), ) -def ingest(uri_path: str, mapping_file: str, chunk_size: int, batch_size: int, file_path:str, type_sumstat:str, pvar_file:str = None): +def ingest(uri_path: str, mapping_file: str, chunk_size: int, batch_size: int, file_path:str, type_sumstat:str, pvar_file:str = None, qc:bool = False, format_qc:str = "tensorqtl"): file_list = pd.read_csv(file_path, sep="\t", header=0, dtype=str) #This could be optimized with Dask # Create a Harmonize object harmonized_object = Harmonize(mapping_file= mapping_file, chunk_size=chunk_size , uri=uri_path, type_sumstat=type_sumstat) + #CHeck if the tiledb already exists, if not create it if not os.path.exists(uri_path): print(f"Creating TileDB at {uri_path}") @@ -60,7 +64,16 @@ def ingest(uri_path: str, mapping_file: str, chunk_size: int, batch_size: int, f print(f"Processing file: {file}") # Harmonize the data print(f"Harmonizing file: {file}") - harmonized_object.harmonize(file, trait, cell, gene, N = N) + chunk_pl = pl.read_csv( + file, + separator="\t", + #columns=list(self.mapping_types.keys()), + low_memory=True + ) + + harmonized_object.harmonize(file_path = file_path, sumstat = chunk_pl, trait = trait, cell = cell, gene = gene, N = N) + if qc: + harmonized_object.qc_sumstat(file_path = file) # Ingest the data print(f"Ingesting data: {file}") harmonized_object.ingest_data() diff --git a/scqtl/utils/harmonize_ingest.py b/scqtl/utils/harmonize_ingest.py index ed58810..5f48e04 100644 --- a/scqtl/utils/harmonize_ingest.py +++ b/scqtl/utils/harmonize_ingest.py @@ -1,11 +1,12 @@ import logging import json from pathlib import Path - +import os import pandas as pd import polars as pl import numpy as np import tiledb +import gwaslab as gl logger = logging.getLogger(__name__) logging.basicConfig(level=logging.INFO, format="%(asctime)s - %(levelname)s - %(message)s") @@ -25,7 +26,6 @@ def __init__(self, mapping_file: str, chunk_size: int, uri: str, type_sumstat: s self.mapping_types = {} self.tiledb_types = {} self.dimension_tiledb = [] - self.chunk_pl = None # will hold the harmonized dataframe def create_mapping(self): df = pd.read_csv(self.mapping_file, header=None, names=["key", "value"]) @@ -33,21 +33,21 @@ def create_mapping(self): raise HarmonizationError("Mapping file is empty or not formatted correctly.") self.mapping_types = dict(zip(df["key"], df["value"])) #check that "BETA", "SE", "AF" are in the vlaues of the mapping_types - if not all(col in self.mapping_types.values() for col in ["BETA", "SE", "AF"]): - raise HarmonizationError("Mapping file must contain BETA, SE, and AF columns.") + if not all(col in self.mapping_types.values() for col in ["BETA", "SE", "EAF"]): + raise HarmonizationError("Mapping file must contain BETA, SE, and EAF columns.") # Check if CHR and POS or SNP are present if not all(col for col in ["CHR", "POS"] if col in self.mapping_types.values()): - if "SNP" not in self.mapping_types.values(): - raise HarmonizationError("Mapping file must contain either CHR, and POS or SNP columns.") + if "SNPID" not in self.mapping_types.values(): + raise HarmonizationError("Mapping file must contain either CHR, and POS or SNPID columns.") def create_tiledb(self): """Create the mapping and dtype definitions.""" pos_domain = (1, 300000000) # Example range for genomic positions chr_domain = (1, 24) # Example range for genomic positions attrs=[ - tiledb.Attr(name="SNP", dtype="ascii", filters=tiledb.FilterList([tiledb.ZstdFilter(level=5)])), + tiledb.Attr(name="SNPID", dtype="ascii", filters=tiledb.FilterList([tiledb.ZstdFilter(level=5)])), tiledb.Attr(name="RSID", dtype="ascii", filters=tiledb.FilterList([tiledb.ZstdFilter(level=5)])), - tiledb.Attr(name="AF", dtype=np.float32, filters=tiledb.FilterList([tiledb.ZstdFilter(level=5)])), + tiledb.Attr(name="EAF", dtype=np.float32, filters=tiledb.FilterList([tiledb.ZstdFilter(level=5)])), tiledb.Attr(name="BETA", dtype=np.float32, filters=tiledb.FilterList([tiledb.ZstdFilter(level=5)])), tiledb.Attr(name="SE", dtype=np.float32, filters=tiledb.FilterList([tiledb.ZstdFilter(level=5)])), tiledb.Attr(name="P", dtype=np.float64, filters=tiledb.FilterList([tiledb.ZstdFilter(level=5)])), @@ -84,15 +84,9 @@ def create_tiledb(self): tiledb.Array.create(self.uri, schema) - def harmonize(self, file_path, trait: str = None, cell: str = None, gene: str = None, N: int = None): + def harmonize(self, file_path, sumstat, trait: str = None, cell: str = None, gene: str = None, N: int = None, qc:bool = False): """Load and rename columns, and ensure CHR/POS exist.""" - self.chunk_pl = pl.read_csv( - file_path, - separator="\t", - #columns=list(self.mapping_types.keys()), - low_memory=True - ) - self.chunk_pl = self.chunk_pl.rename(self.mapping_types) + self.chunk_pl = sumstat.rename(self.mapping_types) if not "N" in self.chunk_pl.columns: if N is not None: @@ -105,19 +99,19 @@ def harmonize(self, file_path, trait: str = None, cell: str = None, gene: str = # If CHR/POS missing, extract from SNP ID if "CHR" not in self.chunk_pl.columns or "POS" not in self.chunk_pl.columns: self.chunk_pl = self.chunk_pl.with_columns( - pl.col("SNP") + pl.col("SNPID") .str.split_exact(":", 4) .struct.rename_fields(["CHR", "POS", "REF", "ALT"]) .alias("fields") ).unnest("fields") - if "SNP" not in self.chunk_pl.columns: + if "SNPID" not in self.chunk_pl.columns: self.chunk_pl = self.chunk_pl.with_columns( pl.when(pl.col("REF") > pl.col("ALT")) .then(pl.col("BETA")) .otherwise(-pl.col("BETA")), pl.when(pl.col("REF") > pl.col("ALT")) - .then(pl.col("AF")) - .otherwise(1.0 - pl.col("AF")) + .then(pl.col("EAF")) + .otherwise(1.0 - pl.col("EAF")) ) self.chunk_pl = self.chunk_pl.with_columns( pl.concat_str( @@ -130,7 +124,7 @@ def harmonize(self, file_path, trait: str = None, cell: str = None, gene: str = pl.col("ALT"), pl.col("REF"), separator=":" - ).alias("SNP") + ).alias("SNPID") ) @@ -140,9 +134,9 @@ def harmonize(self, file_path, trait: str = None, cell: str = None, gene: str = "CHR": np.uint16, "TRAIT": str, "POS": np.uint32, - "SNP": str, + "SNPID": str, "RSID": str, - "AF": np.float32, + "EAF": np.float32, "BETA": np.float32, "SE": np.float32, "P": np.float64, @@ -158,10 +152,10 @@ def harmonize(self, file_path, trait: str = None, cell: str = None, gene: str = "CELL": str, "GENE": str, "POS": np.uint32, - "SNP": str, + "SNPID": str, "RSID": str, "DIST": np.int64, - "AF": np.float32, + "EAF": np.float32, "BETA": np.float32, "SE": np.float32, "P": np.float64, @@ -179,7 +173,42 @@ def harmonize(self, file_path, trait: str = None, cell: str = None, gene: str = self.chunk_pl = self.chunk_pl.with_columns( pl.lit("None").alias("RSID") ) - + + def qc_sumstat(self, file_path:str): + directory = self.uri + "_logs" + filename = os.path.basename(file_path) # "test.csv.gz" + # Remove all extensions + file_name = filename.split('.')[0] # "test" + + if not os.path.isdir(directory): + os.mkdir(directory) + sumstat_preqc = self.chunk_pl.to_pandas() + if self.type_sumstat == "gwas": + sumstat_gl =gl.Sumstats(sumstat_preqc, + snpid="SNPID", + chrom="CHR", + pos="POS", + eaf="EAF", + beta="BETA", + se="SE", + p="P", + n="N", + other = ["TRAIT"]) + else: + sumstat_gl =gl.Sumstats(sumstat_preqc, + snpid="SNPID", + chrom="CHR", + pos="POS", + eaf="EAF", + beta="BETA", + se="SE", + p="P", + n="N", + other = ["CELL","GENE","RSID","DIST"]) + sumstat_gl.basic_check() + sumstat_gl.log.save(directory + "/" + file_name) + self.chunk_pl = pl.from_pandas(sumstat_gl.data) + def align_alleles(self, pvar_file: str): """Align alleles based on pvar file.""" @@ -192,20 +221,20 @@ def align_alleles(self, pvar_file: str): self.pvar_file, separator="\t", has_header=True, - new_columns=["CHROM", "POS", "SNP", "REF", "ALT", "INFO"], - dtypes={"CHROM": pl.Utf8, "POS": pl.Utf8, "SNP": pl.Utf8, + new_columns=["CHROM", "POS", "SNPID", "REF", "ALT", "INFO"], + dtypes={"CHROM": pl.Utf8, "POS": pl.Utf8, "SNPID": pl.Utf8, "REF": pl.Utf8, "ALT": pl.Utf8, "INFO": pl.Utf8}, ) - self.chunk_pl = self.chunk_pl.join(pvar_df, on="SNP", how="inner", suffix="_pvar") + self.chunk_pl = self.chunk_pl.join(pvar_df, on="SNPID", how="inner", suffix="_pvar") self.chunk_pl = self.chunk_pl.with_columns( pl.when(pl.col("REF") > pl.col("ALT")) .then(pl.col("BETA")) .otherwise(-pl.col("BETA")), pl.when(pl.col("REF") > pl.col("ALT")) - .then(pl.col("AF")) - .otherwise(1.0 - pl.col("AF")) + .then(pl.col("EAF")) + .otherwise(1.0 - pl.col("EAF")) ) def ingest_data(self): diff --git a/scqtl/utils/locusbreaker.py b/scqtl/utils/locusbreaker.py index 8d74830..99e721a 100644 --- a/scqtl/utils/locusbreaker.py +++ b/scqtl/utils/locusbreaker.py @@ -9,7 +9,7 @@ def locus_breaker( hole_size: int = 250000, phenovar: bool = False, category: bool = False, - type_sumstat: str = "scqtl", + type_sumstat: str = "qtl", ) -> pd.DataFrame: """ Breaking genome in loci and returning all SNPs within the defined loci boundaries. @@ -38,7 +38,7 @@ def locus_breaker( return [] # Apply cis/trans filtering if needed - if type_sumstat == "scqtl": + if type_sumstat == "qtl": if category == "cis": loci_snps = loci_snps[(loci_snps["DIST"] > -1000000) & (loci_snps["DIST"] < 1000000)] elif category == "trans": From 903ce8c9b8ae26c0d156454f89260f07831af03d Mon Sep 17 00:00:00 2001 From: "bruno.ariano" Date: Thu, 21 Aug 2025 16:19:57 +0100 Subject: [PATCH 08/61] Modify parameters --- scqtl/cli/ingestion.py | 15 ++++------- scqtl/utils/harmonize_ingest.py | 46 +++++++++++++++++++++++---------- 2 files changed, 37 insertions(+), 24 deletions(-) diff --git a/scqtl/cli/ingestion.py b/scqtl/cli/ingestion.py index 7be113f..34e79c9 100644 --- a/scqtl/cli/ingestion.py +++ b/scqtl/cli/ingestion.py @@ -19,14 +19,15 @@ @cloup.option_group( "Optional parameters", cloup.option("--pvar-file", default = None, type=str, help = "pvar file used to verify the alleles order"), + cloup.option("--sep", default = "\t", type=str, help = "pvar file used to verify the alleles order"), cloup.option("--batch-size", default = 1, type=int, help = "The number of files to ingest at once"), cloup.option("--chunk-size", default = 50000000, type=int, help = "The number of rows to ingest at once"), cloup.option("--qc", is_flag=True, type=bool, default = False, help = "Harmonize and QC the summary statistics using gwaslab"), cloup.option("--format-qc", type=bool, default = False, help = "Harmonize and QC the summary statistics using gwaslab"), ) -def ingest(uri_path: str, mapping_file: str, chunk_size: int, batch_size: int, file_path:str, type_sumstat:str, pvar_file:str = None, qc:bool = False, format_qc:str = "tensorqtl"): - file_list = pd.read_csv(file_path, sep="\t", header=0, dtype=str) +def ingest(uri_path:str, sep:str, mapping_file:str, chunk_size:int, batch_size:int, file_path:str, type_sumstat:str, pvar_file:str = None, qc:bool = False, format_qc:str = "tensorqtl"): + file_list = pd.read_csv(file_path, sep=",", header=0, dtype=str) #This could be optimized with Dask # Create a Harmonize object harmonized_object = Harmonize(mapping_file= mapping_file, chunk_size=chunk_size , uri=uri_path, type_sumstat=type_sumstat) @@ -64,19 +65,13 @@ def ingest(uri_path: str, mapping_file: str, chunk_size: int, batch_size: int, f print(f"Processing file: {file}") # Harmonize the data print(f"Harmonizing file: {file}") - chunk_pl = pl.read_csv( - file, - separator="\t", - #columns=list(self.mapping_types.keys()), - low_memory=True - ) - + chunk_pl = pl.read_csv(file,separator=sep,low_memory=True ,null_values="NA") harmonized_object.harmonize(file_path = file_path, sumstat = chunk_pl, trait = trait, cell = cell, gene = gene, N = N) if qc: harmonized_object.qc_sumstat(file_path = file) # Ingest the data print(f"Ingesting data: {file}") - harmonized_object.ingest_data() + harmonized_object.ingest_data(file_path = file) # Create metadata harmonized_object.create_metadata(file_path = file) diff --git a/scqtl/utils/harmonize_ingest.py b/scqtl/utils/harmonize_ingest.py index 5f48e04..63e49b3 100644 --- a/scqtl/utils/harmonize_ingest.py +++ b/scqtl/utils/harmonize_ingest.py @@ -101,15 +101,15 @@ def harmonize(self, file_path, sumstat, trait: str = None, cell: str = None, gen self.chunk_pl = self.chunk_pl.with_columns( pl.col("SNPID") .str.split_exact(":", 4) - .struct.rename_fields(["CHR", "POS", "REF", "ALT"]) + .struct.rename_fields(["CHR", "POS", "NEA", "EA"]) .alias("fields") ).unnest("fields") if "SNPID" not in self.chunk_pl.columns: self.chunk_pl = self.chunk_pl.with_columns( - pl.when(pl.col("REF") > pl.col("ALT")) + pl.when(pl.col("NEA") > pl.col("EA")) .then(pl.col("BETA")) .otherwise(-pl.col("BETA")), - pl.when(pl.col("REF") > pl.col("ALT")) + pl.when(pl.col("NEA") > pl.col("EA")) .then(pl.col("EAF")) .otherwise(1.0 - pl.col("EAF")) ) @@ -121,8 +121,8 @@ def harmonize(self, file_path, sumstat, trait: str = None, cell: str = None, gen pl.concat_str( pl.col("chr_SNP"), pl.col("POS"), - pl.col("ALT"), - pl.col("REF"), + pl.col("EA"), + pl.col("NEA"), separator=":" ).alias("SNPID") ) @@ -169,10 +169,14 @@ def harmonize(self, file_path, sumstat, trait: str = None, cell: str = None, gen self.chunk_pl = self.chunk_pl.with_columns( pl.lit(gene).alias("GENE") ) - if "RSID" not in self.chunk_pl.columns: + if "RSID" not in self.chunk_pl.columns: self.chunk_pl = self.chunk_pl.with_columns( pl.lit("None").alias("RSID") ) + if "LOG10P" in self.chunk_pl.columns: + self.chunk_pl = self.chunk_pl.with_columns( + (10 ** (-pl.col("LOG10P"))).alias("P") + ) def qc_sumstat(self, file_path:str): directory = self.uri + "_logs" @@ -193,7 +197,9 @@ def qc_sumstat(self, file_path:str): se="SE", p="P", n="N", - other = ["TRAIT"]) + ea = "EA", + nea = "NEA", + other = ["TRAIT","RSID"]) else: sumstat_gl =gl.Sumstats(sumstat_preqc, snpid="SNPID", @@ -205,7 +211,19 @@ def qc_sumstat(self, file_path:str): p="P", n="N", other = ["CELL","GENE","RSID","DIST"]) - sumstat_gl.basic_check() + sumstat_gl.fix_id() + sumstat_gl.fix_chr(remove=True) + sumstat_gl.fix_pos(remove=True) + sumstat_gl.fix_allele(remove=True) + sumstat_gl.check_sanity() + sumstat_gl.check_data_consistency() + sumstat_gl.remove_dup(mode="m") + + + + + #sumstat_gl.basic_check(n_cores = 4, remove=True, remove_dup=True) + sumstat_gl.log.save(directory + "/" + file_name) self.chunk_pl = pl.from_pandas(sumstat_gl.data) @@ -221,7 +239,7 @@ def align_alleles(self, pvar_file: str): self.pvar_file, separator="\t", has_header=True, - new_columns=["CHROM", "POS", "SNPID", "REF", "ALT", "INFO"], + new_columns=["CHROM", "POS", "SNPID", "NEA", "EA", "INFO"], dtypes={"CHROM": pl.Utf8, "POS": pl.Utf8, "SNPID": pl.Utf8, "REF": pl.Utf8, "ALT": pl.Utf8, "INFO": pl.Utf8}, ) @@ -229,15 +247,15 @@ def align_alleles(self, pvar_file: str): self.chunk_pl = self.chunk_pl.join(pvar_df, on="SNPID", how="inner", suffix="_pvar") self.chunk_pl = self.chunk_pl.with_columns( - pl.when(pl.col("REF") > pl.col("ALT")) + pl.when(pl.col("NEA") > pl.col("EA")) .then(pl.col("BETA")) .otherwise(-pl.col("BETA")), - pl.when(pl.col("REF") > pl.col("ALT")) + pl.when(pl.col("NEA") > pl.col("EA")) .then(pl.col("EAF")) .otherwise(1.0 - pl.col("EAF")) ) - def ingest_data(self): + def ingest_data(self, file_path): """Append harmonized data to TileDB.""" pl.Config.set_tbl_cols(-1) self.chunk_pl = self.chunk_pl.select(self.tiledb_types.keys()) @@ -249,9 +267,9 @@ def ingest_data(self): column_types=self.tiledb_types, mode="append", ) - logger.info(f"Successfully appended chunk to TileDB") + logger.info(f"Successfully appended chunk to TileDB for file {file_path}") except Exception as e: - logger.error(f"Failed to append chunk to TileDB: {e}") + logger.error(f"Failed to append chunk to TileDB for file {file_path}: {e}") raise def create_metadata(self, file_path: str, pvar_file: str = None): From 71563e5200a36d035e5e6c4db5ddbb9b99632553 Mon Sep 17 00:00:00 2001 From: "bruno.ariano" Date: Thu, 21 Aug 2025 16:23:14 +0100 Subject: [PATCH 09/61] Remove duplicates options --- scqtl/utils/harmonize_ingest.py | 1 + 1 file changed, 1 insertion(+) diff --git a/scqtl/utils/harmonize_ingest.py b/scqtl/utils/harmonize_ingest.py index 63e49b3..fe13796 100644 --- a/scqtl/utils/harmonize_ingest.py +++ b/scqtl/utils/harmonize_ingest.py @@ -265,6 +265,7 @@ def ingest_data(self, file_path): dataframe=self.chunk_pl.to_pandas(), index_dims=self.dimension_tiledb, column_types=self.tiledb_types, + allows_duplicates = False, mode="append", ) logger.info(f"Successfully appended chunk to TileDB for file {file_path}") From feb57e89e2fbc830e0101bcca273db40085ec6ea Mon Sep 17 00:00:00 2001 From: bruno-ariano Date: Wed, 3 Sep 2025 15:10:56 +0200 Subject: [PATCH 10/61] implement modifications to run Flanders with TileDB --- scqtl/cli/export.py | 32 ++++++++++-------- scqtl/cli/ingestion.py | 7 ++-- scqtl/main.py | 6 ++-- scqtl/utils/__init__.py | 2 +- scqtl/utils/harmonize_ingest.py | 55 +++++++++++++++++++----------- scqtl/utils/locusbreaker.py | 59 +++++++++++++++++++++------------ 6 files changed, 99 insertions(+), 62 deletions(-) diff --git a/scqtl/cli/export.py b/scqtl/cli/export.py index 6e35cae..47f5f96 100644 --- a/scqtl/cli/export.py +++ b/scqtl/cli/export.py @@ -32,11 +32,12 @@ @cloup.option_group( "Options for Locusbreaker", cloup.option("--locusbreaker", is_flag=True, type=bool, default = False, help="Option to run locusbreaker"), - cloup.option("--pvalue_sig", default = 5e-8, type=float, help = "P-value threshold used to create the regions around significant SNPs (default: )"), - cloup.option("--pvalue_limit", default = 1e-5, type=float, help = "P-value threshold for loci borders"), + cloup.option("--pvalue-sig", default = 5e-8, type=float, help = "P-value threshold used to create the regions around significant SNPs (default: )"), + cloup.option("--pvalue-limit", default = 1e-5, type=float, help = "P-value threshold for loci borders"), cloup.option("--hole", default = 250000, type=int, help = "Minimum pair-base distance between SNPs in different loci (default: 250000)"), cloup.option("--phenovar", is_flag = True, type=bool, default = False, help = "Compute the phenotypic variance"), - cloup.option("--maf", default = 0.01, type=float, help = "The MAF to filter the TILEDB before locusbreaker is run"), + cloup.option("--maf", default = 0.001, type=float, help = "The MAF to filter the TILEDB before locusbreaker is run"), + cloup.option("--locus-max-size", default = 1000000, type=float, help = "The maximum size allowed for the locus. Default: 1Mb"), cloup.option("--category",default = "cis",type=str, help = "If locusbreaker run on cis or trans QLTs"), cloup.option("--table", default = None, type=str, help = "Path of the table to provide"), cloup.option("--type-sumstat", default = None, type=str, help = "Path of the table to provide"), @@ -69,11 +70,15 @@ def export( pvalue_limit: float, hole: int, out_lb: str, - out_rg: str + out_rg: str, + locus_max_size: int ): #Open connection with TileDB tiledb_export = tiledb.open(uri_path, mode="r") + if "SNP" in tiledb_export.schema.attr_names and "SNPID" in attr.split(","): + attr.replace("SNPID", "SNP") + client = ctx.obj.get("dask_cluster", None) #Print only the schema of the tiledb @@ -151,15 +156,15 @@ def export( def query_spec(uri_path, chrom, trait: str = None, cell: str = None, gene: str = None, type_sumstat:str = "scqtl"): with tiledb.open(uri_path, mode="r") as tiledb_data: if type_sumstat == "gwas": - tiledb_filtered = tiledb_data.query(dims=['CHR','TRAIT','POS'], attrs=['SNPID', 'EAF' , 'BETA', 'SE', 'P', 'N']).df[chrom, trait, :] + tiledb_filtered = tiledb_data.query(dims=['CHR','TRAIT','POS']).df[chrom, trait, :] else: - tiledb_filtered = tiledb_data.query(dims=['CHR','CELL','GENE','POS'], attrs=['SNPID', 'EAF' , 'BETA', 'SE', 'P', 'N', 'DIST']).df[chrom, cell ,gene , :] + tiledb_filtered = tiledb_data.query(dims=['CHR','CELL','GENE','POS']).df[chrom, cell ,gene , :] return tiledb_filtered @delayed - def delayed_locus_breaker(tiledb_data, pvalue_sig, pvalue_limit, hole_size, phenovar, category, type_sumstat = "scqtl"): + def delayed_locus_breaker(tiledb_data, maf, pvalue_sig, pvalue_limit, locus_max_size, hole_size, phenovar, category, type_sumstat = "scqtl"): # Call locus_breaker with the computed tiledb_data - return locus_breaker(tiledb_data, pvalue_sig=pvalue_sig, pvalue_limit=pvalue_limit, hole_size=hole_size, phenovar = phenovar, category = category, type_sumstat = type_sumstat) + return locus_breaker(tiledb_data, maf = maf, pvalue_sig=pvalue_sig, pvalue_limit=pvalue_limit, locus_max_size = locus_max_size, hole_size=hole_size, phenovar = phenovar, category = category, type_sumstat = type_sumstat) for ind, row in traits.iterrows(): chrom = row["CHR"] @@ -168,7 +173,7 @@ def delayed_locus_breaker(tiledb_data, pvalue_sig, pvalue_limit, hole_size, phen else: cell,gene = row["TRAIT"].split(":") - task = delayed_locus_breaker(query_spec(uri_path, chrom,trait = trait, cell = cell, gene = gene, type_sumstat = type_sumstat),pvalue_sig=pvalue_sig,pvalue_limit=pvalue_limit,hole_size=hole, phenovar = phenovar, category = category, type_sumstat = type_sumstat) + task = delayed_locus_breaker(query_spec(uri_path, chrom,trait = trait, cell = cell, gene = gene, type_sumstat = type_sumstat),maf = maf, pvalue_sig=pvalue_sig,pvalue_limit=pvalue_limit, locus_max_size = locus_max_size, hole_size=hole, phenovar = phenovar, category = category, type_sumstat = type_sumstat) tasks.append(task) #The batch size to use which is set to the number of workers if Dask is run @@ -181,15 +186,14 @@ def delayed_locus_breaker(tiledb_data, pvalue_sig, pvalue_limit, hole_size, phen batch = tasks[i:i+batch_size] batch_results = compute(*batch) # Compute the batch for result in batch_results: - print(result) #if not len(result) == 0 and not result[0].empty: if result and isinstance(result[0], pd.DataFrame) and not result[0].shape[0] == 0: interval = result[0] segments = result[1] - write_header_interval = not os.path.exists(out_lb + "_interval.csv") - write_header_segment = not os.path.exists(out_lb + "_segment.csv") - interval.to_csv(out_lb + "_interval.csv", mode="a", index=False, header = write_header_interval) - segments.to_csv(out_lb + "_segment.csv", mode="a", index=False, header = write_header_segment) + write_header_interval = not os.path.exists(f"{out_lb}_batch_{str(i)}_interval.csv") + write_header_segment = not os.path.exists(f"{out_lb}_batch_{str(i)}_segment.csv") + interval.to_csv(f"{out_lb}_batch_{str(i)}_interval.csv", mode="a", index=False, header = write_header_interval) + segments.to_csv(f"{out_lb}_batch_{str(i)}_segment.csv", mode="a", index=False, header = write_header_segment) if client: print("Shutting down Dask cluster...") client.close() diff --git a/scqtl/cli/ingestion.py b/scqtl/cli/ingestion.py index 34e79c9..a0a9ae0 100644 --- a/scqtl/cli/ingestion.py +++ b/scqtl/cli/ingestion.py @@ -13,7 +13,7 @@ "Essential parameters", cloup.option("--uri-path", default = None, type=str, help = "Where to store the TileDB"), cloup.option("--file-path", default = None, type=str, help = "List of the files to ingest"), - cloup.option("--mapping-file", default = None, type=str, help = "List of the files to ingest"), + cloup.option("--mapping-file", default = None, type=str, help = "Mapping between columns and TileDB types"), cloup.option("--type-sumstat", default = "qtl", type=str, help = "Either gwas or qtl, to specify the type of summary statistics being ingested. This is used to harmonize the data accordingly.") ) @cloup.option_group( @@ -22,11 +22,10 @@ cloup.option("--sep", default = "\t", type=str, help = "pvar file used to verify the alleles order"), cloup.option("--batch-size", default = 1, type=int, help = "The number of files to ingest at once"), cloup.option("--chunk-size", default = 50000000, type=int, help = "The number of rows to ingest at once"), - cloup.option("--qc", is_flag=True, type=bool, default = False, help = "Harmonize and QC the summary statistics using gwaslab"), - cloup.option("--format-qc", type=bool, default = False, help = "Harmonize and QC the summary statistics using gwaslab"), + cloup.option("--qc", is_flag=True, type=bool, default = False, help = "Harmonize and QC the summary statistics using gwaslab") ) -def ingest(uri_path:str, sep:str, mapping_file:str, chunk_size:int, batch_size:int, file_path:str, type_sumstat:str, pvar_file:str = None, qc:bool = False, format_qc:str = "tensorqtl"): +def ingest(uri_path:str, sep:str, mapping_file:str, chunk_size:int, batch_size:int, file_path:str, type_sumstat:str, pvar_file:str = None, qc:bool = False): file_list = pd.read_csv(file_path, sep=",", header=0, dtype=str) #This could be optimized with Dask # Create a Harmonize object diff --git a/scqtl/main.py b/scqtl/main.py index c7b6378..d5eecef 100644 --- a/scqtl/main.py +++ b/scqtl/main.py @@ -13,15 +13,15 @@ cloup.option("--workers", default = None, type=int, help = "Number of workers to use in the Dask cluster"), cloup.option("--cores_w", default = 4, type=int, help = "Number of core to use per single worker"), cloup.option("--memory_w", default = "8", type=str, help = "Number of GB to give as memory for each worker"), - cloup.option("--local_cluster", default = False, is_flag = True, type=bool, help = "If you need to run on local cluster or distributed on different nodes"), + cloup.option("--type_cluster", default = "local", help = "If you need to run on local cluster or distributed on different nodes"), ) @click.pass_context -def cli_init(ctx, workers: int, cores_w: int, memory_w: str, local_cluster: bool): +def cli_init(ctx, workers: int, cores_w: int, memory_w: str, type_cluster: str): #Create Dask cluster if not workers is None: - if local_cluster: + if type_cluster == 'local': cluster = LocalCluster(n_workers=workers, threads_per_worker=cores_w, memory_limit=f"{memory_w}GB", processes = 1) else: cluster = Cluster(cores = cores_w, memory=f"{memory_w}GB") diff --git a/scqtl/utils/__init__.py b/scqtl/utils/__init__.py index 3fdba75..2e13d75 100644 --- a/scqtl/utils/__init__.py +++ b/scqtl/utils/__init__.py @@ -34,7 +34,7 @@ def batch_query_tiledb(array, queries, output_dir, batch_index): def compute_pheno_variance(df): df_pl = pl.from_pandas(df) - median_pl = df_pl.select(((pl.col("SE") ** 2) * pl.col("N") * 2 * pl.col("AF") * (1 - pl.col("AF"))).median()) + median_pl = df_pl.select(((pl.col("SE") ** 2) * pl.col("N") * 2 * pl.col("EAF") * (1 - pl.col("EAF"))).median()) median_value = median_pl.item() median_str = str(median_value) return median_str diff --git a/scqtl/utils/harmonize_ingest.py b/scqtl/utils/harmonize_ingest.py index fe13796..49bb2fe 100644 --- a/scqtl/utils/harmonize_ingest.py +++ b/scqtl/utils/harmonize_ingest.py @@ -79,7 +79,7 @@ def create_tiledb(self): domain=dom, attrs=attrs, sparse=True, - allows_duplicates=True + allows_duplicates=False ) tiledb.Array.create(self.uri, schema) @@ -105,27 +105,32 @@ def harmonize(self, file_path, sumstat, trait: str = None, cell: str = None, gen .alias("fields") ).unnest("fields") if "SNPID" not in self.chunk_pl.columns: - self.chunk_pl = self.chunk_pl.with_columns( - pl.when(pl.col("NEA") > pl.col("EA")) - .then(pl.col("BETA")) - .otherwise(-pl.col("BETA")), - pl.when(pl.col("NEA") > pl.col("EA")) - .then(pl.col("EAF")) - .otherwise(1.0 - pl.col("EAF")) - ) + swap = pl.col("NEA") < pl.col("EA") + self.chunk_pl = self.chunk_pl.with_columns([ + # flip the sign of BETA when swapping + pl.when(swap).then(-pl.col("BETA")).otherwise(pl.col("BETA")).alias("BETA"), + # flip EAF to 1 - EAF when swapping + pl.when(swap).then(1.0 - pl.col("EAF")).otherwise(pl.col("EAF")).alias("EAF"), + # set EA to the smaller allele + pl.when(swap).then(pl.col("NEA")).otherwise(pl.col("EA")).alias("EA"), + # set NEA to the larger allele + pl.when(swap).then(pl.col("EA")).otherwise(pl.col("NEA")).alias("NEA"), + ]) self.chunk_pl = self.chunk_pl.with_columns( pl.concat_str( pl.lit("chr"), pl.col("CHR")).alias("chr_SNP")) self.chunk_pl = self.chunk_pl.with_columns( - pl.concat_str( - pl.col("chr_SNP"), - pl.col("POS"), - pl.col("EA"), - pl.col("NEA"), - separator=":" - ).alias("SNPID") - ) + pl.concat_str( + [ + pl.col("chr_SNP"), + pl.col("POS").cast(pl.Utf8), # cast POS if numeric + pl.col("EA"), # lexicographically smaller + pl.col("NEA") # lexicographically larger + ], + separator=":" + ).alias("SNPID") + ) if self.type_sumstat=="gwas": @@ -211,7 +216,7 @@ def qc_sumstat(self, file_path:str): p="P", n="N", other = ["CELL","GENE","RSID","DIST"]) - sumstat_gl.fix_id() + #sumstat_gl.fix_id() sumstat_gl.fix_chr(remove=True) sumstat_gl.fix_pos(remove=True) sumstat_gl.fix_allele(remove=True) @@ -259,6 +264,18 @@ def ingest_data(self, file_path): """Append harmonized data to TileDB.""" pl.Config.set_tbl_cols(-1) self.chunk_pl = self.chunk_pl.select(self.tiledb_types.keys()) + if self.type_sumstat == "gwas": + dedup_keys = ["CHR", "POS", "TRAIT"] + else: + dedup_keys = ["CHR", "POS", "CELL", "GENE"] + + # Option A (recommended): window count -> keep only rows whose group count == 1 + self.chunk_pl = ( + self.chunk_pl + .with_columns(pl.count().over(dedup_keys).alias("_grp_count")) + .filter(pl.col("_grp_count") == 1) + .drop("_grp_count") + ) try: tiledb.from_pandas( uri=self.uri, @@ -266,7 +283,7 @@ def ingest_data(self, file_path): index_dims=self.dimension_tiledb, column_types=self.tiledb_types, allows_duplicates = False, - mode="append", + mode="append" ) logger.info(f"Successfully appended chunk to TileDB for file {file_path}") except Exception as e: diff --git a/scqtl/utils/locusbreaker.py b/scqtl/utils/locusbreaker.py index 99e721a..2256407 100644 --- a/scqtl/utils/locusbreaker.py +++ b/scqtl/utils/locusbreaker.py @@ -10,6 +10,8 @@ def locus_breaker( phenovar: bool = False, category: bool = False, type_sumstat: str = "qtl", + maf: float = 0.001, + locus_max_size = 1000000 ) -> pd.DataFrame: """ Breaking genome in loci and returning all SNPs within the defined loci boundaries. @@ -23,15 +25,18 @@ def locus_breaker( :param type_sumstat: Type of summary statistics, either "gwas" or "scqtl" :return: Two DataFrames, one with loci regions and another with all SNPs in loci """ - # Create a copy of the original dataset before filtering - original_data = tiledb_data.copy() - + # Create a copy of the original dataset before filtering + # Filter for SNPs below the p-value limit to define loci + print(f"length before maf {str(maf)} {str(len(tiledb_data))}") + tiledb_data["MAF"] = tiledb_data["EAF"].where(tiledb_data["EAF"] <= 0.5, 1 - tiledb_data["EAF"]) + tiledb_data = tiledb_data[tiledb_data['MAF'] >= maf] + tiledb_data = tiledb_data.drop("MAF", axis = 1) + print(f"length after maf {str(maf)} {str(len(tiledb_data))}") if phenovar: - original_data["S"] = compute_pheno_variance(original_data) + tiledb_data["S"] = compute_pheno_variance(tiledb_data) else: - original_data["S"] = 1.0 + tiledb_data["S"] = 1.0 - # Filter for SNPs below the p-value limit to define loci loci_snps = tiledb_data[tiledb_data["P"] < pvalue_limit].copy() if loci_snps.empty: @@ -65,26 +70,38 @@ def locus_breaker( end_pos = group_df["POS"].max() + 100000 best_snp = group_df.loc[group_df["P"].idxmin()] region = f"{group_df['CHR'].iloc[0]}:{start_pos}:{end_pos}" - - trait_res.append([start_pos, end_pos, best_snp["POS"], best_snp["P"]] + best_snp.tolist()) - # Include all SNPs within the expanded region from the original dataset - expanded_snps = original_data[ - (original_data["CHR"] == group_df["CHR"].iloc[0]) & - (original_data["POS"] >= start_pos) & - (original_data["POS"] <= end_pos) - ] - for _, snp_row in expanded_snps.iterrows(): - all_snp_res.append([region, snp_row["POS"], snp_row["P"]] + snp_row.tolist()) + if (end_pos - start_pos) < locus_max_size: + trait_res.append([start_pos, end_pos, best_snp["POS"], best_snp["P"]] + best_snp.tolist()) + # Include all SNPs within the expanded region from the original dataset + expanded_snps = tiledb_data[ + (tiledb_data["CHR"] == group_df["CHR"].iloc[0]) & + (tiledb_data["POS"] >= start_pos) & + (tiledb_data["POS"] <= end_pos) + ] + for _, snp_row in expanded_snps.iterrows(): + all_snp_res.append([region, snp_row["POS"], snp_row["P"]] + snp_row.tolist()) # Convert to DataFrames columns = ["START", "END", "SNP_POS", "SNP_PVAL"] + tiledb_data.columns.tolist() if type_sumstat == "gwas": - trait_res_df = pd.DataFrame(trait_res, columns=columns).drop(columns=["POS", "P", "TRAIT"]) - columns = ["REGION", "SNP_POS", "SNP_PVAL"] + tiledb_data.columns.tolist() + ["S"] - all_snp_df = pd.DataFrame(all_snp_res, columns=columns).drop(columns=["SNP_POS", "SNP_PVAL", "TRAIT"]) + trait_res_df = pd.DataFrame(trait_res, columns=columns).drop(columns=["POS", "P"]) + columns = ["REGION", "SNP_POS", "SNP_PVAL"] + tiledb_data.columns.tolist() + all_snp_df = pd.DataFrame(all_snp_res, columns=columns).drop(columns=["SNP_POS", "SNP_PVAL"]) + trait_res_df = trait_res_df[['TRAIT'] + [col for col in trait_res_df.columns if col != 'TRAIT']] + all_snp_df = all_snp_df[['TRAIT'] + [col for col in all_snp_df.columns if col != 'TRAIT']] + trait_res_df[['TYPE']] = 'gwas' + all_snp_df[['TYPE']] = 'gwas' else: - trait_res_df = pd.DataFrame(trait_res, columns=columns).drop(columns=["POS", "P", "GENE", "CELL"]) + trait_res_df = pd.DataFrame(trait_res, columns=columns).drop(columns=["POS", "P"]) columns = ["REGION", "SNP_POS", "SNP_PVAL"] + tiledb_data.columns.tolist() + ["S"] - all_snp_df = pd.DataFrame(all_snp_res, columns=columns).drop(columns=["SNP_POS", "SNP_PVAL", "GENE", "CELL"]) + all_snp_df = pd.DataFrame(all_snp_res, columns=columns).drop(columns=["SNP_POS", "SNP_PVAL"]) + trait_res_df["TRAIT"] = trait_res_df["CELL"] + ":" + trait_res_df["GENE"] + all_snp_df["TRAIT"] = all_snp_df["CELL"] + ":" + all_snp_df["GENE"] + trait_res_df = trait_res_df[['TRAIT'] + [col for col in trait_res_df.columns if col != 'TRAIT']] + all_snp_df = all_snp_df[['TRAIT'] + [col for col in all_snp_df.columns if col != 'TRAIT']] + trait_res_df[['TYPE']] = 'qtl' + all_snp_df[['TYPE']] = 'qtl' + + return [trait_res_df, all_snp_df] \ No newline at end of file From e83aed93925a52991e42145740da93f0f12e9265 Mon Sep 17 00:00:00 2001 From: Bruno Ariano Date: Wed, 3 Sep 2025 15:13:05 +0200 Subject: [PATCH 11/61] Update README.md --- README.md | 2 +- 1 file changed, 1 insertion(+), 1 deletion(-) diff --git a/README.md b/README.md index 7bd9607..1e376ab 100644 --- a/README.md +++ b/README.md @@ -1,4 +1,4 @@ -# TileDB for single cell analysis +# TileDB for summary statistics analysis Screenshot 2024-11-17 at 20 47 08 From 71581838e27041d7a9c7206148c2775df2054aa6 Mon Sep 17 00:00:00 2001 From: "bruno.ariano" Date: Fri, 5 Sep 2025 17:35:15 +0100 Subject: [PATCH 12/61] Changes into QC and harmonization for aligning alleles --- Dockerfile | 0 scqtl/cli/ingestion.py | 3 +- scqtl/utils/harmonize_ingest.py | 129 ++++++++++++++++++-------------- 3 files changed, 73 insertions(+), 59 deletions(-) create mode 100644 Dockerfile diff --git a/Dockerfile b/Dockerfile new file mode 100644 index 0000000..e69de29 diff --git a/scqtl/cli/ingestion.py b/scqtl/cli/ingestion.py index a0a9ae0..9b3244c 100644 --- a/scqtl/cli/ingestion.py +++ b/scqtl/cli/ingestion.py @@ -29,7 +29,7 @@ def ingest(uri_path:str, sep:str, mapping_file:str, chunk_size:int, batch_size:i file_list = pd.read_csv(file_path, sep=",", header=0, dtype=str) #This could be optimized with Dask # Create a Harmonize object - harmonized_object = Harmonize(mapping_file= mapping_file, chunk_size=chunk_size , uri=uri_path, type_sumstat=type_sumstat) + harmonized_object = Harmonize(mapping_file= mapping_file, chunk_size=chunk_size , uri=uri_path, type_sumstat=type_sumstat, pvar_file = pvar_file) #CHeck if the tiledb already exists, if not create it if not os.path.exists(uri_path): @@ -66,6 +66,7 @@ def ingest(uri_path:str, sep:str, mapping_file:str, chunk_size:int, batch_size:i print(f"Harmonizing file: {file}") chunk_pl = pl.read_csv(file,separator=sep,low_memory=True ,null_values="NA") harmonized_object.harmonize(file_path = file_path, sumstat = chunk_pl, trait = trait, cell = cell, gene = gene, N = N) + #Performing QC using GWASLAB if qc: harmonized_object.qc_sumstat(file_path = file) # Ingest the data diff --git a/scqtl/utils/harmonize_ingest.py b/scqtl/utils/harmonize_ingest.py index 49bb2fe..3c8270b 100644 --- a/scqtl/utils/harmonize_ingest.py +++ b/scqtl/utils/harmonize_ingest.py @@ -18,10 +18,11 @@ class HarmonizationError(Exception): class Harmonize: - def __init__(self, mapping_file: str, chunk_size: int, uri: str, type_sumstat: str): + def __init__(self, mapping_file: str, chunk_size: int, uri: str, type_sumstat: str, pvar_file: str): self.mapping_file = mapping_file self.chunk_size = chunk_size self.uri = uri + self.pvar_file = pvar_file self.type_sumstat = type_sumstat self.mapping_types = {} self.tiledb_types = {} @@ -82,7 +83,30 @@ def create_tiledb(self): allows_duplicates=False ) tiledb.Array.create(self.uri, schema) - + + def align_alleles(self): + """Align alleles based on pvar file.""" + if not self.pvar_file: + raise HarmonizationError("pvar_file must be provided to verify alleles order") + if not Path(self.pvar_file).is_file(): + raise FileNotFoundError(f"pvar_file {self.pvar_file} does not exist") + + pvar_df = pl.read_csv( + self.pvar_file, + separator="\t", + has_header=True, + dtypes={"CHROM": pl.Utf8, "POS": pl.Utf8, "SNPID": pl.Utf8, + "REF": pl.Utf8, "ALT": pl.Utf8}, + ) + + self.chunk_pl = self.chunk_pl.join(pvar_df, on="SNPID", how="inner", suffix="_pvar") + + swap = pl.col("ALT")< pl.col("REF") + + self.chunk_pl = self.chunk_pl.with_columns([ + pl.when(swap).then(pl.col("BETA")).otherwise(-pl.col("BETA")), + pl.when(swap).then(pl.col("EAF")).otherwise(1.0-pl.col("EAF")) + ]) def harmonize(self, file_path, sumstat, trait: str = None, cell: str = None, gene: str = None, N: int = None, qc:bool = False): """Load and rename columns, and ensure CHR/POS exist.""" @@ -101,37 +125,53 @@ def harmonize(self, file_path, sumstat, trait: str = None, cell: str = None, gen self.chunk_pl = self.chunk_pl.with_columns( pl.col("SNPID") .str.split_exact(":", 4) - .struct.rename_fields(["CHR", "POS", "NEA", "EA"]) + .struct.rename_fields(["CHR", "POS", "A1", "A2"]) .alias("fields") ).unnest("fields") - if "SNPID" not in self.chunk_pl.columns: - swap = pl.col("NEA") < pl.col("EA") - self.chunk_pl = self.chunk_pl.with_columns([ - # flip the sign of BETA when swapping - pl.when(swap).then(-pl.col("BETA")).otherwise(pl.col("BETA")).alias("BETA"), - # flip EAF to 1 - EAF when swapping - pl.when(swap).then(1.0 - pl.col("EAF")).otherwise(pl.col("EAF")).alias("EAF"), - # set EA to the smaller allele - pl.when(swap).then(pl.col("NEA")).otherwise(pl.col("EA")).alias("EA"), - # set NEA to the larger allele - pl.when(swap).then(pl.col("EA")).otherwise(pl.col("NEA")).alias("NEA"), - ]) - self.chunk_pl = self.chunk_pl.with_columns( - pl.concat_str( - pl.lit("chr"), - pl.col("CHR")).alias("chr_SNP")) - self.chunk_pl = self.chunk_pl.with_columns( + + if "SNPID" in self.chunk_pl.columns: + self.chunk_pl = self.chunk_pl.drop("SNPID") + + swap = pl.col("A1") < pl.col("A2") + + #Start by creating new SNPID aligned + self.chunk_pl = self.chunk_pl.with_columns([ + pl.when(swap).then(pl.col("A1")).otherwise(pl.col("A2")).alias("EA"), + # set NEA to the larger allele + pl.when(swap).then(pl.col("A2")).otherwise(pl.col("A1")).alias("NEA")] + ) + + self.chunk_pl = self.chunk_pl.with_columns( pl.concat_str( - [ - pl.col("chr_SNP"), - pl.col("POS").cast(pl.Utf8), # cast POS if numeric - pl.col("EA"), # lexicographically smaller - pl.col("NEA") # lexicographically larger - ], - separator=":" - ).alias("SNPID") + [ + pl.col("CHR"), + pl.col("POS").cast(pl.Utf8), # cast POS if numeric + pl.col("EA"), # lexicographically smaller + pl.col("NEA") # lexicographically larger + ], + separator=":" + ).alias("SNPID") ) + if self.pvar_file: + self.align_alleles() + self.chunk_pl.drop(["REF","ALT"]) + else: + # flip the sign of BETA when swapping + self.chunk_pl = self.chunk_pl.with_columns([ + pl.when(swap).then(-pl.col("BETA")).otherwise(pl.col("BETA")).alias("BETA"), + # flip EAF to 1 - EAF when swapping + pl.when(swap).then(1.0 - pl.col("EAF")).otherwise(pl.col("EAF")).alias("EAF"), + # set EA to the smaller allele + ]) + self.chunk_pl = self.chunk_pl.drop(["A1","A2"]) + + self.chunk_pl = self.chunk_pl.with_columns( + pl.concat_str( + pl.lit("chr"), + pl.col("SNPID")).alias("SNPID")) + + if self.type_sumstat=="gwas": @@ -222,7 +262,8 @@ def qc_sumstat(self, file_path:str): sumstat_gl.fix_allele(remove=True) sumstat_gl.check_sanity() sumstat_gl.check_data_consistency() - sumstat_gl.remove_dup(mode="m") + + #sumstat_gl.remove_dup(mode="m") @@ -232,34 +273,6 @@ def qc_sumstat(self, file_path:str): sumstat_gl.log.save(directory + "/" + file_name) self.chunk_pl = pl.from_pandas(sumstat_gl.data) - - def align_alleles(self, pvar_file: str): - """Align alleles based on pvar file.""" - if not self.pvar_file: - raise HarmonizationError("pvar_file must be provided to verify alleles order") - if not Path(self.pvar_file).is_file(): - raise FileNotFoundError(f"pvar_file {self.pvar_file} does not exist") - - pvar_df = pl.read_csv( - self.pvar_file, - separator="\t", - has_header=True, - new_columns=["CHROM", "POS", "SNPID", "NEA", "EA", "INFO"], - dtypes={"CHROM": pl.Utf8, "POS": pl.Utf8, "SNPID": pl.Utf8, - "REF": pl.Utf8, "ALT": pl.Utf8, "INFO": pl.Utf8}, - ) - - self.chunk_pl = self.chunk_pl.join(pvar_df, on="SNPID", how="inner", suffix="_pvar") - - self.chunk_pl = self.chunk_pl.with_columns( - pl.when(pl.col("NEA") > pl.col("EA")) - .then(pl.col("BETA")) - .otherwise(-pl.col("BETA")), - pl.when(pl.col("NEA") > pl.col("EA")) - .then(pl.col("EAF")) - .otherwise(1.0 - pl.col("EAF")) - ) - def ingest_data(self, file_path): """Append harmonized data to TileDB.""" pl.Config.set_tbl_cols(-1) @@ -290,7 +303,7 @@ def ingest_data(self, file_path): logger.error(f"Failed to append chunk to TileDB for file {file_path}: {e}") raise - def create_metadata(self, file_path: str, pvar_file: str = None): + def create_metadata(self, file_path: str): """Create and store metadata in TileDB.""" tiledb_existing = tiledb.open(self.uri) if "metadata" in tiledb_existing.meta: From 8fa6b5ab237ef9b93b59ac91f419c5c91d041904 Mon Sep 17 00:00:00 2001 From: "bruno.ariano" Date: Fri, 5 Sep 2025 17:58:02 +0100 Subject: [PATCH 13/61] Adding dockerfile --- Dockerfile | 39 +++++++++++++++++++++++++++++++++++++++ 1 file changed, 39 insertions(+) diff --git a/Dockerfile b/Dockerfile index e69de29..01f32b4 100644 --- a/Dockerfile +++ b/Dockerfile @@ -0,0 +1,39 @@ +```dockerfile +# Based on your requested base +FROM cgr.dev/chainguard/wolfi-base:latest + +# Where micromamba will install environments +ENV MAMBA_ROOT_PREFIX=/opt/conda +ENV CONDA_LOCK=/tmp/conda-linux-64.lock + +# Fetch micromamba (static tarball) and install it to /usr/local/bin +# We use ADD to fetch remote URL at build time (Docker supports it) +ADD https://micromamba.snakepit.net/api/micromamba/linux-64/latest /tmp/micromamba.tar.bz2 + +RUN mkdir -p $MAMBA_ROOT_PREFIX \ + && tar -xjf /tmp/micromamba.tar.bz2 -C /usr/local/bin --strip-components=1 \ + && chmod +x /usr/local/bin/micromamba \ + && micromamba --version + +# copy the lock file into the image (make sure this file is present next to Dockerfile) +COPY conda-linux-64.lock $CONDA_LOCK + +# Create the environment using the lockfile. +# We create the env under $MAMBA_ROOT_PREFIX/envs/scqtl +RUN micromamba create -y -p $MAMBA_ROOT_PREFIX/envs/scqtl --file $CONDA_LOCK \ + && micromamba clean --all -y + +# Put the env's bin first in PATH for runtime +ENV PATH=$MAMBA_ROOT_PREFIX/envs/scqtl/bin:$PATH + +# Copy repository source into /src and run make install inside the environment +COPY . /src +WORKDIR /src + +# Run your make install inside the created environment. +# Use micromamba run so we don't need to "activate" a shell. +RUN micromamba run -p $MAMBA_ROOT_PREFIX/envs/scqtl -- make install + +# Default command — starts a shell with the environment available via micromamba run +CMD ["micromamba", "run", "-p", "/opt/conda/envs/scqtl", "--", "sh", "-c", "echo 'Container ready. Use micromamba run -p /opt/conda/envs/scqtl -- ' && sleep infinity"] +``` \ No newline at end of file From 993827657fe13bcf50fd75dcf2c71a075ac85f65 Mon Sep 17 00:00:00 2001 From: "bruno.ariano" Date: Mon, 8 Sep 2025 21:13:24 +0100 Subject: [PATCH 14/61] Add acat test and p-value calculation --- scqtl/cli/ingestion.py | 2 +- scqtl/utils/__init__.py | 77 +++++++++++++++++++++++++++++++-- scqtl/utils/harmonize_ingest.py | 52 +++++++++++++++------- 3 files changed, 111 insertions(+), 20 deletions(-) diff --git a/scqtl/cli/ingestion.py b/scqtl/cli/ingestion.py index 9b3244c..8cb9744 100644 --- a/scqtl/cli/ingestion.py +++ b/scqtl/cli/ingestion.py @@ -65,7 +65,7 @@ def ingest(uri_path:str, sep:str, mapping_file:str, chunk_size:int, batch_size:i # Harmonize the data print(f"Harmonizing file: {file}") chunk_pl = pl.read_csv(file,separator=sep,low_memory=True ,null_values="NA") - harmonized_object.harmonize(file_path = file_path, sumstat = chunk_pl, trait = trait, cell = cell, gene = gene, N = N) + harmonized_object.harmonize(sumstat = chunk_pl, trait = trait, cell = cell, gene = gene, N = N) #Performing QC using GWASLAB if qc: harmonized_object.qc_sumstat(file_path = file) diff --git a/scqtl/utils/__init__.py b/scqtl/utils/__init__.py index 2e13d75..a0f0d4c 100644 --- a/scqtl/utils/__init__.py +++ b/scqtl/utils/__init__.py @@ -1,11 +1,13 @@ import os -from dask import delayed, compute +from dask import delayed import pyarrow as pa import pyarrow.csv import pyarrow.parquet as pq -import gc -import scipy.stats as stats import polars as pl +import numpy as np +import math +from scipy.stats import chi2 + @delayed def batch_query_tiledb(array, queries, output_dir, batch_index): @@ -38,3 +40,72 @@ def compute_pheno_variance(df): median_value = median_pl.item() median_str = str(median_value) return median_str + +def acat_optimized(pvals_series: pl.Series, small: float = 1e-15) -> float: + """ + Optimized ACAT implementation using vectorized operations with Polars. + + Parameters + ---------- + pvals_series : pl.Series + Series of p-values in (0, 1]. NaNs are ignored. + small : float, optional + Threshold below which we use the approximation. + + Returns + ------- + float + ACAT p-value in [0, 1]. + """ + # Convert to numpy array for vectorized operations + p = pvals_series.to_numpy() + + # Remove NaNs + valid_mask = ~np.isnan(p) + if not np.any(valid_mask): + return float("nan") + + p = p[valid_mask] + + # Validate p-values + if np.any(p < 0) or np.any(p > 1): + raise ValueError("All p-values must be in the interval [0, 1].") + + # Vectorized computation of transformed values + t = np.empty_like(p) + + # Create masks + small_mask = p < small + regular_mask = ~small_mask + + # Apply transformations based on masks + if np.any(regular_mask): + t[regular_mask] = np.tan((0.5 - p[regular_mask]) * math.pi) + + if np.any(small_mask): + t[small_mask] = 1.0 / (math.pi * p[small_mask]) + + # Compute ACAT statistic + cct_stat = np.mean(t) + + # Calculate ACAT p-value + p_acat = 0.5 - math.atan(cct_stat) / math.pi + + # Clamp to [0,1] for numerical stability + return max(0.0, min(p_acat, 1.0)) + + +def z_to_p_via_chi2(z): + """ + Convert z-score to p-value using chi-square distribution (df=1). + + Parameters: + z (float): The z-score + + Returns: + float: Two-tailed p-value + """ + chi2_stat = z**2 + p_value = chi2.sf(chi2_stat, df=1) # one-tailed + return p_value + \ No newline at end of file diff --git a/scqtl/utils/harmonize_ingest.py b/scqtl/utils/harmonize_ingest.py index 3c8270b..a36caae 100644 --- a/scqtl/utils/harmonize_ingest.py +++ b/scqtl/utils/harmonize_ingest.py @@ -5,8 +5,11 @@ import pandas as pd import polars as pl import numpy as np +from scipy import stats import tiledb import gwaslab as gl +from scqtl.utils import acat_optimized,z_to_p_via_chi2 + logger = logging.getLogger(__name__) logging.basicConfig(level=logging.INFO, format="%(asctime)s - %(levelname)s - %(message)s") @@ -108,7 +111,7 @@ def align_alleles(self): pl.when(swap).then(pl.col("EAF")).otherwise(1.0-pl.col("EAF")) ]) - def harmonize(self, file_path, sumstat, trait: str = None, cell: str = None, gene: str = None, N: int = None, qc:bool = False): + def harmonize(self, sumstat, trait: str = None, cell: str = None, gene: str = None, N: int = None, qc:bool = False): """Load and rename columns, and ensure CHR/POS exist.""" self.chunk_pl = sumstat.rename(self.mapping_types) @@ -170,9 +173,7 @@ def harmonize(self, file_path, sumstat, trait: str = None, cell: str = None, gen pl.concat_str( pl.lit("chr"), pl.col("SNPID")).alias("SNPID")) - - - + if self.type_sumstat=="gwas": self.tiledb_types = { @@ -222,6 +223,15 @@ def harmonize(self, file_path, sumstat, trait: str = None, cell: str = None, gen self.chunk_pl = self.chunk_pl.with_columns( (10 ** (-pl.col("LOG10P"))).alias("P") ) + + #Calculate p-value from z-score + self.chunk_pl = self.chunk_pl.drop('P') + self.chunk_pl = self.chunk_pl.with_columns( + (pl.col("BETA") / pl.col("SE")).pow(2).map_batches( + lambda x: pl.Series(stats.chi2.sf(x.to_numpy(), df=1)), + return_dtype=pl.Float64 + ).alias('P') + ) def qc_sumstat(self, file_path:str): directory = self.uri + "_logs" @@ -261,18 +271,13 @@ def qc_sumstat(self, file_path:str): sumstat_gl.fix_pos(remove=True) sumstat_gl.fix_allele(remove=True) sumstat_gl.check_sanity() - sumstat_gl.check_data_consistency() - + #sumstat_gl.check_data_consistency() #sumstat_gl.remove_dup(mode="m") - - - - #sumstat_gl.basic_check(n_cores = 4, remove=True, remove_dup=True) sumstat_gl.log.save(directory + "/" + file_name) self.chunk_pl = pl.from_pandas(sumstat_gl.data) - + def ingest_data(self, file_path): """Append harmonized data to TileDB.""" pl.Config.set_tbl_cols(-1) @@ -318,6 +323,16 @@ def create_metadata(self, file_path: str): if self.type_sumstat == "qtl": # Get unique cell types + + self.chunk_pl = self.chunk_pl.group_by(["CHR" ,"CELL", "GENE"]).agg( + pl.col("P").map_batches( + lambda s: pl.Series([acat_optimized(s)]), + return_dtype=pl.Float64 + ).alias("ACAT_P") + ) + self.chunk_pl = self.chunk_pl.with_columns( + self.chunk_pl["ACAT_P"].list.first().alias("ACAT_P_scalar") + ) celltypes = self.chunk_pl["CELL"].unique().to_list() if not celltypes: raise HarmonizationError("No cell types found in the data") @@ -333,16 +348,21 @@ def create_metadata(self, file_path: str): # Group by chromosome and collect unique genes - chr_gene_map = df_cell.group_by("CHR").agg(pl.col("GENE").unique().alias("genes")) + chr_gene_map = df_cell.group_by("CHR").agg([ + pl.struct(["GENE", "ACAT_P_scalar"]).alias("gene_acat_pairs") + ]) # Append to metadata, making sure we extend if already exists for row in chr_gene_map.iter_rows(named=True): chrom = row["CHR"] - genes = row["genes"] + gene_acat_pairs = [ + [entry["GENE"], entry["ACAT_P_scalar"]] for entry in row["gene_acat_pairs"] + ] if chrom in metadata[cell]: - existing = set(metadata[cell][chrom]) - metadata[cell][chrom].extend([g for g in genes if g not in existing]) + existing = set(tuple(x) for x in metadata[cell][chrom]) + new_items = [pair for pair in gene_acat_pairs if tuple(pair) not in existing] + metadata[cell][chrom].extend(new_items) else: - metadata[cell][chrom] = genes + metadata[cell][chrom] = gene_acat_pairs else: if "TRAIT" not in self.chunk_pl.columns: raise HarmonizationError("TRAIT column is missing in the data") From 5d5cb26ea6911da1fb551db69cc90d6248aeb078 Mon Sep 17 00:00:00 2001 From: "bruno.ariano" Date: Wed, 17 Sep 2025 13:23:16 +0100 Subject: [PATCH 15/61] small fixes --- scqtl/cli/export.py | 8 +-- scqtl/cli/ingestion.py | 2 +- scqtl/utils/__init__.py | 5 +- scqtl/utils/create_metadata.py | 70 ++++++++++++++++++++++ scqtl/utils/generate_table_cell_sumstat.py | 20 +++++++ scqtl/utils/harmonize_ingest.py | 20 ++++--- scqtl/utils/locusbreaker.py | 6 +- 7 files changed, 111 insertions(+), 20 deletions(-) create mode 100644 scqtl/utils/create_metadata.py create mode 100644 scqtl/utils/generate_table_cell_sumstat.py diff --git a/scqtl/cli/export.py b/scqtl/cli/export.py index 47f5f96..df7ad82 100644 --- a/scqtl/cli/export.py +++ b/scqtl/cli/export.py @@ -32,8 +32,6 @@ @cloup.option_group( "Options for Locusbreaker", cloup.option("--locusbreaker", is_flag=True, type=bool, default = False, help="Option to run locusbreaker"), - cloup.option("--pvalue-sig", default = 5e-8, type=float, help = "P-value threshold used to create the regions around significant SNPs (default: )"), - cloup.option("--pvalue-limit", default = 1e-5, type=float, help = "P-value threshold for loci borders"), cloup.option("--hole", default = 250000, type=int, help = "Minimum pair-base distance between SNPs in different loci (default: 250000)"), cloup.option("--phenovar", is_flag = True, type=bool, default = False, help = "Compute the phenotypic variance"), cloup.option("--maf", default = 0.001, type=float, help = "The MAF to filter the TILEDB before locusbreaker is run"), @@ -66,8 +64,6 @@ def export( category: str, phenovar: bool, table: str, - pvalue_sig: float, - pvalue_limit: float, hole: int, out_lb: str, out_rg: str, @@ -172,7 +168,9 @@ def delayed_locus_breaker(tiledb_data, maf, pvalue_sig, pvalue_limit, locus_max_ trait = row["TRAIT"] else: cell,gene = row["TRAIT"].split(":") - + if "SIG" in traits.columns: + pvalue_sig = row["SIG"] + pvalue_limit = row["LIM"] task = delayed_locus_breaker(query_spec(uri_path, chrom,trait = trait, cell = cell, gene = gene, type_sumstat = type_sumstat),maf = maf, pvalue_sig=pvalue_sig,pvalue_limit=pvalue_limit, locus_max_size = locus_max_size, hole_size=hole, phenovar = phenovar, category = category, type_sumstat = type_sumstat) tasks.append(task) diff --git a/scqtl/cli/ingestion.py b/scqtl/cli/ingestion.py index 8cb9744..02da834 100644 --- a/scqtl/cli/ingestion.py +++ b/scqtl/cli/ingestion.py @@ -47,7 +47,7 @@ def ingest(uri_path:str, sep:str, mapping_file:str, chunk_size:int, batch_size:i #batch_files = file_list[i:i + batch_size] file = record["FILE"] if "N" in file_list.columns: - N = record["N"] + N = record["N"] if type_sumstat == "qtl": if "CELL" in file_list.columns: cell = record["CELL"] diff --git a/scqtl/utils/__init__.py b/scqtl/utils/__init__.py index a0f0d4c..8c07755 100644 --- a/scqtl/utils/__init__.py +++ b/scqtl/utils/__init__.py @@ -6,7 +6,8 @@ import polars as pl import numpy as np import math -from scipy.stats import chi2 +from scipy.stats import chi2, cauchy + @delayed @@ -89,7 +90,7 @@ def acat_optimized(pvals_series: pl.Series, small: float = 1e-15) -> float: cct_stat = np.mean(t) # Calculate ACAT p-value - p_acat = 0.5 - math.atan(cct_stat) / math.pi + p_acat = cauchy.sf(cct_stat) # Clamp to [0,1] for numerical stability return max(0.0, min(p_acat, 1.0)) diff --git a/scqtl/utils/create_metadata.py b/scqtl/utils/create_metadata.py new file mode 100644 index 0000000..3ac5415 --- /dev/null +++ b/scqtl/utils/create_metadata.py @@ -0,0 +1,70 @@ +import json +from collections import defaultdict +input_path = "/lustre/scratch124/humgen/projects_v2/cardinal_analysis/analysis/core_dataset/freeze3/tiledbs/Tensor/TileDB_f3_Bangladeshi_cis_celltype1_metadata.json" +output_path = input_path.replace(".json", "_fixed.json") + +objs = [] +with open(input_path) as f: + text = f.read() + +decoder = json.JSONDecoder() +idx = 0 +while idx < len(text): + obj, idx = decoder.raw_decode(text, idx) + objs.append(obj) + +with open(output_path, "w") as f: + json.dump(objs, f, indent=2) + +print(f"✅ Salvaged {len(objs)} metadata records into {output_path}") + + +fixed_path = "/lustre/scratch124/humgen/projects_v2/cardinal_analysis/analysis/core_dataset/freeze3/tiledbs/Tensor/TileDB_f3_Bangladeshi_cis_celltype1_metadata_fixed.json" +output_path = fixed_path.replace("_fixed.json", "_merged.json") + +with open(fixed_path) as f: + metadata_records = json.load(f) + +# Create a merged dictionary +merged_metadata = { + "file_path": [], + "trait": [], + "celltype": [] +} + +# For storing per-cell/chromosome info if present +cell_chrom_data = defaultdict(lambda: defaultdict(list)) + +for record in metadata_records: + # Merge file paths + if "file_path" in record and record["file_path"] not in merged_metadata["file_path"]: + merged_metadata["file_path"].append(record["file_path"]) + + # Merge traits + if "trait" in record: + for t in record["trait"]: + if t not in merged_metadata["trait"]: + merged_metadata["trait"].append(t) + + # Merge celltypes and their per-chromosome data + if "celltype" in record: + for cell in record["celltype"]: + if cell not in merged_metadata["celltype"]: + merged_metadata["celltype"].append(cell) + # Merge chromosome-level info if exists + if cell in record: + for chrom, genes in record[cell].items(): + existing_genes = {tuple(g) for g in cell_chrom_data[cell][chrom]} + for g in genes: + if tuple(g) not in existing_genes: + cell_chrom_data[cell][chrom].append(g) + +# Add per-cell/chromosome info +for cell, chrom_dict in cell_chrom_data.items(): + merged_metadata[cell] = chrom_dict + +# Save as a single JSON object +with open(output_path, "w") as f: + json.dump(merged_metadata, f, indent=2) + +print(f"✅ Merged metadata saved to {output_path}") diff --git a/scqtl/utils/generate_table_cell_sumstat.py b/scqtl/utils/generate_table_cell_sumstat.py new file mode 100644 index 0000000..3ab02ef --- /dev/null +++ b/scqtl/utils/generate_table_cell_sumstat.py @@ -0,0 +1,20 @@ +import pandas as pd +import tiledb +rows = [] +tdb = tiledb.open('/lustre/scratch124/humgen/projects_v2/cardinal_analysis/analysis/core_dataset/freeze3/tiledbs/Tensor/TileDB_f3_Bangladeshi_cis_celltype1', 'w') +# Loop over all celltypes in metadata +for celltype in merged_metadata["celltype"]: + if celltype in merged_metadata: # make sure the key exists in dict + groups = merged_metadata[celltype] + for group, values in groups.items(): # e.g. group "11" + for gene_id, value in values: + rows.append({ + "CHR": group, + "CELL": celltype, + "GENE": gene_id, + "ACAT": value + }) +df = pd.DataFrame(rows) + +tdb.meta["metadata"] = json.dumps(merged_metadata) +df.to_csv("/lustre/scratch124/humgen/projects_v2/cardinal_analysis/analysis/core_dataset/freeze3/tiledbs/Tensor/metadata_gh_bangladeshi_f3_celltype1_acat.csv",index = False) \ No newline at end of file diff --git a/scqtl/utils/harmonize_ingest.py b/scqtl/utils/harmonize_ingest.py index a36caae..cedd1b9 100644 --- a/scqtl/utils/harmonize_ingest.py +++ b/scqtl/utils/harmonize_ingest.py @@ -271,7 +271,7 @@ def qc_sumstat(self, file_path:str): sumstat_gl.fix_pos(remove=True) sumstat_gl.fix_allele(remove=True) sumstat_gl.check_sanity() - #sumstat_gl.check_data_consistency() + sumstat_gl.check_data_consistency() #sumstat_gl.remove_dup(mode="m") #sumstat_gl.basic_check(n_cores = 4, remove=True, remove_dup=True) @@ -310,13 +310,12 @@ def ingest_data(self, file_path): def create_metadata(self, file_path: str): """Create and store metadata in TileDB.""" - tiledb_existing = tiledb.open(self.uri) - if "metadata" in tiledb_existing.meta: - metadata = json.loads(tiledb_existing.meta["metadata"]) - else: - metadata = { + #tiledb_existing = tiledb.open(self.uri) + #if "metadata" in tiledb_existing.meta: + # metadata = json.loads(tiledb_existing.meta["metadata"]) + #else: + metadata = { "file_path": file_path, - "type_sumstat": self.type_sumstat, "celltype": [], "trait": [] } @@ -372,8 +371,11 @@ def create_metadata(self, file_path: str): for record in traits: if record not in metadata["trait"]: metadata["trait"].append(record) + f = open(f'{self.uri}_metadata.json', 'a') - with tiledb.open(self.uri, mode='w') as array: - array.meta["metadata"] = json.dumps(metadata) + with open(f'{self.uri}_metadata.json', 'a') as f: + json.dump(metadata, f) + #with tiledb.open(self.uri, mode='w') as array: + # array.meta["metadata"] = json.dumps(metadata) logger.info("Metadata created successfully") \ No newline at end of file diff --git a/scqtl/utils/locusbreaker.py b/scqtl/utils/locusbreaker.py index 2256407..9f5488e 100644 --- a/scqtl/utils/locusbreaker.py +++ b/scqtl/utils/locusbreaker.py @@ -9,7 +9,7 @@ def locus_breaker( hole_size: int = 250000, phenovar: bool = False, category: bool = False, - type_sumstat: str = "qtl", + type_sumstat: str = "scqtl", maf: float = 0.001, locus_max_size = 1000000 ) -> pd.DataFrame: @@ -43,7 +43,7 @@ def locus_breaker( return [] # Apply cis/trans filtering if needed - if type_sumstat == "qtl": + if type_sumstat == "scqtl": if category == "cis": loci_snps = loci_snps[(loci_snps["DIST"] > -1000000) & (loci_snps["DIST"] < 1000000)] elif category == "trans": @@ -93,7 +93,7 @@ def locus_breaker( all_snp_df[['TYPE']] = 'gwas' else: trait_res_df = pd.DataFrame(trait_res, columns=columns).drop(columns=["POS", "P"]) - columns = ["REGION", "SNP_POS", "SNP_PVAL"] + tiledb_data.columns.tolist() + ["S"] + columns = ["REGION", "SNP_POS", "SNP_PVAL"] + tiledb_data.columns.tolist() all_snp_df = pd.DataFrame(all_snp_res, columns=columns).drop(columns=["SNP_POS", "SNP_PVAL"]) trait_res_df["TRAIT"] = trait_res_df["CELL"] + ":" + trait_res_df["GENE"] all_snp_df["TRAIT"] = all_snp_df["CELL"] + ":" + all_snp_df["GENE"] From 7cd05a9cdc0557b1c9b48029f83e60a4af3e1cf9 Mon Sep 17 00:00:00 2001 From: "bruno.ariano" Date: Fri, 26 Sep 2025 18:56:55 +0100 Subject: [PATCH 16/61] test for saving space --- scqtl/cli/export.py | 108 ++++++++++----- scqtl/cli/ingestion.py | 12 +- scqtl/main.py | 37 ++++- scqtl/utils/__init__.py | 9 +- scqtl/utils/create_metadata.py | 4 +- scqtl/utils/generate_table_cell_sumstat.py | 4 +- scqtl/utils/harmonize_ingest.py | 152 +++++++++++++-------- scqtl/utils/locusbreaker.py | 3 +- scqtl/utils/locusbreaker_plpl.py | 152 +++++++++++++++++++++ 9 files changed, 374 insertions(+), 107 deletions(-) create mode 100644 scqtl/utils/locusbreaker_plpl.py diff --git a/scqtl/cli/export.py b/scqtl/cli/export.py index df7ad82..2e9ddb6 100644 --- a/scqtl/cli/export.py +++ b/scqtl/cli/export.py @@ -4,7 +4,7 @@ import pandas as pd from dask import delayed, compute #from scqtl.utils.process_write_chunk import process_write_chunk -from scqtl.utils.locusbreaker import locus_breaker +from scqtl.utils.locusbreaker_plpl import locusbreaker_plpl import numpy as np import os @@ -35,10 +35,11 @@ cloup.option("--hole", default = 250000, type=int, help = "Minimum pair-base distance between SNPs in different loci (default: 250000)"), cloup.option("--phenovar", is_flag = True, type=bool, default = False, help = "Compute the phenotypic variance"), cloup.option("--maf", default = 0.001, type=float, help = "The MAF to filter the TILEDB before locusbreaker is run"), - cloup.option("--locus-max-size", default = 1000000, type=float, help = "The maximum size allowed for the locus. Default: 1Mb"), + cloup.option("--locus-max-size", default = 3000000, type=float, help = "The maximum size allowed for the locus. Default: 1Mb"), cloup.option("--category",default = "cis",type=str, help = "If locusbreaker run on cis or trans QLTs"), cloup.option("--table", default = None, type=str, help = "Path of the table to provide"), cloup.option("--type-sumstat", default = None, type=str, help = "Path of the table to provide"), + cloup.option("--batch-name", default = None, type=str, help = "Path of the table to provide"), ) @cloup.option_group( "Options for output", @@ -67,7 +68,8 @@ def export( hole: int, out_lb: str, out_rg: str, - locus_max_size: int + locus_max_size: int, + batch_name:str ): #Open connection with TileDB @@ -75,7 +77,13 @@ def export( if "SNP" in tiledb_export.schema.attr_names and "SNPID" in attr.split(","): attr.replace("SNPID", "SNP") - client = ctx.obj.get("dask_cluster", None) + client = ctx.obj.get("dask_cluster", None) + if client: + print(f"Dask client: {client}") + print(f"Cluster info: {client.scheduler_info()}") + print(f"Active workers: {len(client.scheduler_info()['workers'])}") + else: + print("WARNING: Running in sequential mode - no Dask client found!") #Print only the schema of the tiledb #Get list of genes, cell type and positions or create ones @@ -147,51 +155,81 @@ def export( print("Starting LocusBreaker") tasks = [] #Defining the Dask functions for delayed - traits = pd.read_csv(table) @delayed def query_spec(uri_path, chrom, trait: str = None, cell: str = None, gene: str = None, type_sumstat:str = "scqtl"): with tiledb.open(uri_path, mode="r") as tiledb_data: if type_sumstat == "gwas": tiledb_filtered = tiledb_data.query(dims=['CHR','TRAIT','POS']).df[chrom, trait, :] else: - tiledb_filtered = tiledb_data.query(dims=['CHR','CELL','GENE','POS']).df[chrom, cell ,gene , :] + tiledb_filtered = tiledb_data.query(dims=['CHR','CELL','GENE','POS'], return_arrow=True).df[chrom, cell ,gene , :] return tiledb_filtered @delayed def delayed_locus_breaker(tiledb_data, maf, pvalue_sig, pvalue_limit, locus_max_size, hole_size, phenovar, category, type_sumstat = "scqtl"): # Call locus_breaker with the computed tiledb_data - return locus_breaker(tiledb_data, maf = maf, pvalue_sig=pvalue_sig, pvalue_limit=pvalue_limit, locus_max_size = locus_max_size, hole_size=hole_size, phenovar = phenovar, category = category, type_sumstat = type_sumstat) + return locusbreaker_plpl(tiledb_data, maf = maf, pvalue_sig=pvalue_sig, pvalue_limit=pvalue_limit, locus_max_size = locus_max_size, hole_size=hole_size, phenovar = phenovar, category = category, type_sumstat = type_sumstat) + traits = pd.read_csv(table) + #for chrom, group in traits.groupby("CHR"): + # Process the DataFrame in chunks of 20 rows + for index, trait in traits.iterrows(): + #chunk = group.iloc[i:i+1] + if "SIG" in traits.columns: + # Assuming pvalue_sig and pvalue_limit are the same for the chunk + # or we can take the first one. + pvalue_sig = trait["SIG"] + pvalue_limit = trait["LIM"] + + if type_sumstat == "gwas": + # If your sumstat type is "gwas", this collects the traits from the chunk. + trait_list = trait["TRAIT"].tolist() - for ind, row in traits.iterrows(): - chrom = row["CHR"] - if type_sumstat == "gwas": - trait = row["TRAIT"] - else: - cell,gene = row["TRAIT"].split(":") - if "SIG" in traits.columns: - pvalue_sig = row["SIG"] - pvalue_limit = row["LIM"] - task = delayed_locus_breaker(query_spec(uri_path, chrom,trait = trait, cell = cell, gene = gene, type_sumstat = type_sumstat),maf = maf, pvalue_sig=pvalue_sig,pvalue_limit=pvalue_limit, locus_max_size = locus_max_size, hole_size=hole, phenovar = phenovar, category = category, type_sumstat = type_sumstat) - tasks.append(task) + # I am assuming that for GWAS, you can pass a list of traits to query_spec. + # I've used the 'trait' parameter for this. + # You might need to adjust this depending on how query_spec is defined. + query = query_spec(uri_path, chrom, trait=trait_list, type_sumstat=type_sumstat) + else: + # For other sumstat types, this extracts cell and gene from the "TRAIT" column. + # It assumes the 'cell' is the same for all genes in a chunk. + cell,genes = trait["TRAIT"].split(":") + #genes = trait["TRAIT"].split(":")[0] + + # Taking the first cell value, assuming it's constant for the chunk. + #cell = cells[0] + + # Here, I am assuming the 'gene' parameter of query_spec can accept a list of genes. + query = query_spec(uri_path, chrom, cell=cell, gene=genes, type_sumstat=type_sumstat) + # The call to delayed_locus_breaker remains the same, but it now processes a batch. + task = delayed_locus_breaker(query, + maf=maf, + pvalue_sig=pvalue_sig, + pvalue_limit=pvalue_limit, + locus_max_size=locus_max_size, + hole_size=hole, + phenovar=phenovar, + category=category, + type_sumstat=type_sumstat) + tasks.append(task) #The batch size to use which is set to the number of workers if Dask is run - if ctx.obj["workers"]: - batch_size = ctx.obj["workers"] - else: - batch_size = 1 - for i in range(0, len(tasks), batch_size): - print(f"Batch {i} of {len(tasks)}") - batch = tasks[i:i+batch_size] - batch_results = compute(*batch) # Compute the batch - for result in batch_results: - #if not len(result) == 0 and not result[0].empty: - if result and isinstance(result[0], pd.DataFrame) and not result[0].shape[0] == 0: - interval = result[0] - segments = result[1] - write_header_interval = not os.path.exists(f"{out_lb}_batch_{str(i)}_interval.csv") - write_header_segment = not os.path.exists(f"{out_lb}_batch_{str(i)}_segment.csv") - interval.to_csv(f"{out_lb}_batch_{str(i)}_interval.csv", mode="a", index=False, header = write_header_interval) - segments.to_csv(f"{out_lb}_batch_{str(i)}_segment.csv", mode="a", index=False, header = write_header_segment) + #if client and ctx.obj["workers"]: + #results = compute(*tasks, scheduler='distributed') + # batch_size = 60 + #else: + # batch_size = 60 + #for i in range(0, len(tasks), batch_size): + # if not os.path.exists(f"{out_lb}_batch_{str(i)}_interval.csv"): + # print(f"Batch {i} of {len(tasks)}") + # batch = tasks[i:i+batch_size] + batch_results = compute(*tasks,scheduler='distributed') # Compute the batch + for result in batch_results: + if not len(result) == 0 and not result[0].empty: + if result and isinstance(result[0], pd.DataFrame) and not result[0].shape[0] == 0: + interval = result[0] + segments = result[1] + write_header_interval = not os.path.exists(f"{out_lb}_batch_{batch_name}_interval.csv") + write_header_segment = not os.path.exists(f"{out_lb}_batch_{batch_name}_segment.csv") + interval.to_csv(f"{out_lb}_batch_{batch_name}_interval.csv", mode="a", index=False, header = write_header_interval) + segments.to_csv(f"{out_lb}_batch_{batch_name}_segment.csv", mode="a", index=False, header = write_header_segment) if client: print("Shutting down Dask cluster...") client.close() diff --git a/scqtl/cli/ingestion.py b/scqtl/cli/ingestion.py index 02da834..a267871 100644 --- a/scqtl/cli/ingestion.py +++ b/scqtl/cli/ingestion.py @@ -41,13 +41,19 @@ def ingest(uri_path:str, sep:str, mapping_file:str, chunk_size:int, batch_size:i cell = None gene = None trait = None - N = None + n = None + n_cases = None + n_controls = None #for i in range(0, len(file_list), batch_size): for record_index, record in file_list.iterrows(): #batch_files = file_list[i:i + batch_size] file = record["FILE"] if "N" in file_list.columns: - N = record["N"] + n = record["N"] + if "n_cases" in file_list.columns: + n_cases = record["N_CASE"] + if "N_CONTROSL" in file_list.columns: + n_controls = record["n_controls"] if type_sumstat == "qtl": if "CELL" in file_list.columns: cell = record["CELL"] @@ -65,7 +71,7 @@ def ingest(uri_path:str, sep:str, mapping_file:str, chunk_size:int, batch_size:i # Harmonize the data print(f"Harmonizing file: {file}") chunk_pl = pl.read_csv(file,separator=sep,low_memory=True ,null_values="NA") - harmonized_object.harmonize(sumstat = chunk_pl, trait = trait, cell = cell, gene = gene, N = N) + harmonized_object.harmonize(sumstat = chunk_pl, trait = trait, cell = cell, gene = gene, n = n, n_cases = n_controls, n_cases = n_cases) #Performing QC using GWASLAB if qc: harmonized_object.qc_sumstat(file_path = file) diff --git a/scqtl/main.py b/scqtl/main.py index d5eecef..7b306b9 100644 --- a/scqtl/main.py +++ b/scqtl/main.py @@ -1,9 +1,10 @@ #Create Dask cluster -from dask_jobqueue import LSFCluster as Cluster +from dask_jobqueue import LSFCluster from dask.distributed import LocalCluster from dask.distributed import Client import click import cloup +import os from scqtl.cli.ingestion import ingest from scqtl.cli.export import export @@ -12,7 +13,7 @@ "Dask cluster options", cloup.option("--workers", default = None, type=int, help = "Number of workers to use in the Dask cluster"), cloup.option("--cores_w", default = 4, type=int, help = "Number of core to use per single worker"), - cloup.option("--memory_w", default = "8", type=str, help = "Number of GB to give as memory for each worker"), + cloup.option("--memory_w", default = "12", type=str, help = "Number of GB to give as memory for each worker"), cloup.option("--type_cluster", default = "local", help = "If you need to run on local cluster or distributed on different nodes"), ) @@ -22,18 +23,40 @@ def cli_init(ctx, workers: int, cores_w: int, memory_w: str, type_cluster: str): #Create Dask cluster if not workers is None: if type_cluster == 'local': - cluster = LocalCluster(n_workers=workers, threads_per_worker=cores_w, memory_limit=f"{memory_w}GB", processes = 1) + cluster = LocalCluster(n_workers=workers, threads_per_worker=cores_w, memory_limit=f"{memory_w}GB", processes = True, dashboard_address=':0') else: - cluster = Cluster(cores = cores_w, memory=f"{memory_w}GB") + cluster = LSFCluster( + queue='normal', + walltime='00:40', + log_directory='{}/dask_logs'.format(os.getcwd()), + cores=2, + processes = 1, + memory='{} Gb'.format(20), + mem=20*1e+9, # should be in bytes + lsf_units='mb', + job_extra=[ + '-G team151', + '-g /lt9/dask', + '-R "select[mem>{}] rusage[mem={}]"'.format( + int(20*1e+3), + int(20*1e+3) + ) + ], + use_stdin=True + ) + #cluster = LSFCluster(cores = cores_w, memory=f"{memory_w}GB") cluster.scale(workers) client = Client(cluster) print(f"Cluster created: {cluster}") print(f"Dask dashboard available at {client.dashboard_link}") - ctx.obj = {"dask_cluster": client} - ctx.obj = {"workers": workers} + ctx.obj = { + "dask_cluster": client, + "workers": workers, + "cluster_object": cluster # Also store the cluster itself + } return ctx.obj else: - ctx.obj = {"workers": False} + ctx.obj = {"workers": False, "dask_cluster": None} return ctx.obj def main(): diff --git a/scqtl/utils/__init__.py b/scqtl/utils/__init__.py index 8c07755..7b00c7f 100644 --- a/scqtl/utils/__init__.py +++ b/scqtl/utils/__init__.py @@ -35,9 +35,14 @@ def batch_query_tiledb(array, queries, output_dir, batch_index): return None -def compute_pheno_variance(df): +def compute_pheno_variance(df, trait_type): df_pl = pl.from_pandas(df) - median_pl = df_pl.select(((pl.col("SE") ** 2) * pl.col("N") * 2 * pl.col("EAF") * (1 - pl.col("EAF"))).median()) + if trait_type == "binary": + df_pl = df_pl.with_columns( + (4 * pl.col("n_cases") * pl.col("n_controls"))) / (pl.col("n_cases") + pl.col("n_controls") + ).alias("N") + + median_pl = df_pl.select(((pl.col("SE") ** 2) * pl.col("N") * (2 * pl.col("EAF") * (1 - pl.col("EAF")))).median()) median_value = median_pl.item() median_str = str(median_value) return median_str diff --git a/scqtl/utils/create_metadata.py b/scqtl/utils/create_metadata.py index 3ac5415..2f05e98 100644 --- a/scqtl/utils/create_metadata.py +++ b/scqtl/utils/create_metadata.py @@ -1,6 +1,6 @@ import json from collections import defaultdict -input_path = "/lustre/scratch124/humgen/projects_v2/cardinal_analysis/analysis/core_dataset/freeze3/tiledbs/Tensor/TileDB_f3_Bangladeshi_cis_celltype1_metadata.json" +input_path = "/lustre/scratch124/humgen/projects_v2/cardinal_analysis/analysis/core_dataset/freeze3/tiledbs/Tensor/Bangladeshi/TileDB_f3_Bangladeshi_cis_celltype1_metadata.json" output_path = input_path.replace(".json", "_fixed.json") objs = [] @@ -19,7 +19,7 @@ print(f"✅ Salvaged {len(objs)} metadata records into {output_path}") -fixed_path = "/lustre/scratch124/humgen/projects_v2/cardinal_analysis/analysis/core_dataset/freeze3/tiledbs/Tensor/TileDB_f3_Bangladeshi_cis_celltype1_metadata_fixed.json" +fixed_path = "/lustre/scratch124/humgen/projects_v2/cardinal_analysis/analysis/core_dataset/freeze3/tiledbs/Tensor/Bangladeshi/TileDB_f3_Bangladeshi_cis_celltype1_metadata_fixed.json" output_path = fixed_path.replace("_fixed.json", "_merged.json") with open(fixed_path) as f: diff --git a/scqtl/utils/generate_table_cell_sumstat.py b/scqtl/utils/generate_table_cell_sumstat.py index 3ab02ef..fb351f9 100644 --- a/scqtl/utils/generate_table_cell_sumstat.py +++ b/scqtl/utils/generate_table_cell_sumstat.py @@ -1,7 +1,7 @@ import pandas as pd import tiledb rows = [] -tdb = tiledb.open('/lustre/scratch124/humgen/projects_v2/cardinal_analysis/analysis/core_dataset/freeze3/tiledbs/Tensor/TileDB_f3_Bangladeshi_cis_celltype1', 'w') +tdb = tiledb.open('/lustre/scratch124/humgen/projects_v2/cardinal_analysis/analysis/core_dataset/freeze3/tiledbs/Tensor/Bangladeshi/TileDB_f3_Bangladeshi_cis_celltype1', 'w') # Loop over all celltypes in metadata for celltype in merged_metadata["celltype"]: if celltype in merged_metadata: # make sure the key exists in dict @@ -17,4 +17,4 @@ df = pd.DataFrame(rows) tdb.meta["metadata"] = json.dumps(merged_metadata) -df.to_csv("/lustre/scratch124/humgen/projects_v2/cardinal_analysis/analysis/core_dataset/freeze3/tiledbs/Tensor/metadata_gh_bangladeshi_f3_celltype1_acat.csv",index = False) \ No newline at end of file +df.to_csv("/lustre/scratch124/humgen/projects_v2/cardinal_analysis/analysis/core_dataset/freeze3/tiledbs/Tensor/Bangladeshi/metadata_gh_bangladeshi_f3_celltype1_acat.csv",index = False) \ No newline at end of file diff --git a/scqtl/utils/harmonize_ingest.py b/scqtl/utils/harmonize_ingest.py index cedd1b9..e138f70 100644 --- a/scqtl/utils/harmonize_ingest.py +++ b/scqtl/utils/harmonize_ingest.py @@ -8,7 +8,7 @@ from scipy import stats import tiledb import gwaslab as gl -from scqtl.utils import acat_optimized,z_to_p_via_chi2 +from scqtl.utils import acat_optimized, compute_pheno_variance logger = logging.getLogger(__name__) @@ -21,12 +21,13 @@ class HarmonizationError(Exception): class Harmonize: - def __init__(self, mapping_file: str, chunk_size: int, uri: str, type_sumstat: str, pvar_file: str): + def __init__(self, mapping_file: str, chunk_size: int, uri: str, type_sumstat: str, pvar_file: str, type_trait: str): self.mapping_file = mapping_file self.chunk_size = chunk_size self.uri = uri self.pvar_file = pvar_file self.type_sumstat = type_sumstat + self.type_trait = type_trait self.mapping_types = {} self.tiledb_types = {} self.dimension_tiledb = [] @@ -54,8 +55,7 @@ def create_tiledb(self): tiledb.Attr(name="EAF", dtype=np.float32, filters=tiledb.FilterList([tiledb.ZstdFilter(level=5)])), tiledb.Attr(name="BETA", dtype=np.float32, filters=tiledb.FilterList([tiledb.ZstdFilter(level=5)])), tiledb.Attr(name="SE", dtype=np.float32, filters=tiledb.FilterList([tiledb.ZstdFilter(level=5)])), - tiledb.Attr(name="P", dtype=np.float64, filters=tiledb.FilterList([tiledb.ZstdFilter(level=5)])), - tiledb.Attr(name="N", dtype=np.int64, filters=tiledb.FilterList([tiledb.ZstdFilter(level=5)])) + tiledb.Attr(name="P", dtype=np.float64, filters=tiledb.FilterList([tiledb.ZstdFilter(level=5)])) ] if self.type_sumstat == "gwas": @@ -111,17 +111,33 @@ def align_alleles(self): pl.when(swap).then(pl.col("EAF")).otherwise(1.0-pl.col("EAF")) ]) - def harmonize(self, sumstat, trait: str = None, cell: str = None, gene: str = None, N: int = None, qc:bool = False): + def harmonize(self, sumstat, trait: str = None, cell: str = None, gene: str = None, n: int = None, n_controls: int = None,n_cases: int = None, qc:bool = False): """Load and rename columns, and ensure CHR/POS exist.""" self.chunk_pl = sumstat.rename(self.mapping_types) + + if self.type_trait == "quant": + if not "N" in self.chunk_pl.columns: + if n is not None: + self.chunk_pl = self.chunk_pl.with_columns( + pl.lit(n).alias("N") + ) + else: + raise HarmonizationError("N column is missing and N parameter is not provided") + elif self.type_trait == "binary": + if not "n_cases" in self.chunk_pl.columns and "n_controls": + if n_cases is not None and n_controls is not None: + self.chunk_pl = self.chunk_pl.with_columns( + pl.lit(n_cases).alias("n_cases"), + pl.lit(n_controls).alias("n_controls"), + pl.lit(n_cases + n_controls).alias("N"), + ) + else: + raise HarmonizationError("n_cases and n_controls columns are missing and were not provided") + else: + raise HarmonizationError("Type of trait must be either binary or quant") + + - if not "N" in self.chunk_pl.columns: - if N is not None: - self.chunk_pl = self.chunk_pl.with_columns( - pl.lit(N).alias("N") - ) - else: - raise HarmonizationError("N column is missing and N parameter is not provided") # If CHR/POS missing, extract from SNP ID if "CHR" not in self.chunk_pl.columns or "POS" not in self.chunk_pl.columns: @@ -175,19 +191,17 @@ def harmonize(self, sumstat, trait: str = None, cell: str = None, gene: str = No pl.col("SNPID")).alias("SNPID")) if self.type_sumstat=="gwas": - self.tiledb_types = { - "CHR": np.uint16, - "TRAIT": str, - "POS": np.uint32, - "SNPID": str, - "RSID": str, - "EAF": np.float32, - "BETA": np.float32, - "SE": np.float32, - "P": np.float64, - "N": np.int64, - } + "CHR": np.uint16, + "TRAIT": str, + "POS": np.uint32, + "SNPID": str, + "RSID": str, + "EAF": np.float32, + "BETA": np.float32, + "SE": np.float32, + "P": np.float64, + } if "TRAIT" not in self.chunk_pl.columns: self.chunk_pl = self.chunk_pl.with_columns( pl.lit(trait).alias("TRAIT") @@ -205,7 +219,6 @@ def harmonize(self, sumstat, trait: str = None, cell: str = None, gene: str = No "BETA": np.float32, "SE": np.float32, "P": np.float64, - "N": np.int64, } if "CELL" not in self.chunk_pl.columns: self.chunk_pl = self.chunk_pl.with_columns( @@ -243,18 +256,35 @@ def qc_sumstat(self, file_path:str): os.mkdir(directory) sumstat_preqc = self.chunk_pl.to_pandas() if self.type_sumstat == "gwas": - sumstat_gl =gl.Sumstats(sumstat_preqc, - snpid="SNPID", - chrom="CHR", - pos="POS", - eaf="EAF", - beta="BETA", - se="SE", - p="P", - n="N", - ea = "EA", - nea = "NEA", - other = ["TRAIT","RSID"]) + if self.type_trait== "quant": + sumstat_gl =gl.Sumstats(sumstat_preqc, + snpid="SNPID", + chrom="CHR", + pos="POS", + eaf="EAF", + beta="BETA", + se="SE", + p="P", + n="N", + ea = "EA", + nea = "NEA", + other = ["TRAIT","RSID"]) + else: + sumstat_gl =gl.Sumstats(sumstat_preqc, + snpid="SNPID", + chrom="CHR", + pos="POS", + eaf="EAF", + beta="BETA", + se="SE", + p="P", + n="N", + ncase = "n_cases", + ncontrol = "n_control", + ea = "EA", + nea = "NEA", + other = ["TRAIT","RSID"]) + else: sumstat_gl =gl.Sumstats(sumstat_preqc, snpid="SNPID", @@ -347,35 +377,49 @@ def create_metadata(self, file_path: str): # Group by chromosome and collect unique genes - chr_gene_map = df_cell.group_by("CHR").agg([ - pl.struct(["GENE", "ACAT_P_scalar"]).alias("gene_acat_pairs") - ]) + chr_gene_map = df_cell.group_by(["CHR", "GENE"]).agg([ + pl.col("ACAT_P_scalar").first().alias("ACAT"), + pl.col("N").first().alias("N") + ]) # Append to metadata, making sure we extend if already exists + for row in chr_gene_map.iter_rows(named=True): chrom = row["CHR"] - gene_acat_pairs = [ - [entry["GENE"], entry["ACAT_P_scalar"]] for entry in row["gene_acat_pairs"] - ] - if chrom in metadata[cell]: - existing = set(tuple(x) for x in metadata[cell][chrom]) - new_items = [pair for pair in gene_acat_pairs if tuple(pair) not in existing] - metadata[cell][chrom].extend(new_items) - else: - metadata[cell][chrom] = gene_acat_pairs + gene = row["GENE"] + acat = row["ACAT"] + n = row["N"] + if chrom not in metadata[cell]: + metadata[cell][chrom] = {} + metadata[cell][chrom][gene] = { + "N": n, + "ACAT": acat, + "GENE": gene, + "PHENO_VAR": 1 + } + else: if "TRAIT" not in self.chunk_pl.columns: raise HarmonizationError("TRAIT column is missing in the data") if self.chunk_pl["TRAIT"].is_empty(): raise HarmonizationError("TRAIT column is empty in the data") traits = self.chunk_pl["TRAIT"].unique().to_list() - for record in traits: - if record not in metadata["trait"]: - metadata["trait"].append(record) + for trait in traits: + if trait not in metadata["trait"]: + metadata["trait"].append(trait) + df_trait = self.chunk_pl.filter(self.chunk_pl["TRAIT"] == trait) + pheno_var = compute_pheno_variance(df_trait, self.type_trait) + n = df_trait["N"].unique().to_list() + metadata[trait] = {"N":N, "PHENO_VAR":pheno_var} + if self.type_trait == "binary": + n_cases = df_trait["n_cases"].unique().to_list() + n_controls = df_trait["n_controls"].unique().to_list() + metadata[trait]["n_cases"] = n_cases + metadata[trait]["n_controls"] = n_controls + metadata[trait] = {"N":N, "PHENOVAR": pheno_var} + f = open(f'{self.uri}_metadata.json', 'a') with open(f'{self.uri}_metadata.json', 'a') as f: json.dump(metadata, f) - #with tiledb.open(self.uri, mode='w') as array: - # array.meta["metadata"] = json.dumps(metadata) logger.info("Metadata created successfully") \ No newline at end of file diff --git a/scqtl/utils/locusbreaker.py b/scqtl/utils/locusbreaker.py index 9f5488e..ea93aab 100644 --- a/scqtl/utils/locusbreaker.py +++ b/scqtl/utils/locusbreaker.py @@ -11,7 +11,7 @@ def locus_breaker( category: bool = False, type_sumstat: str = "scqtl", maf: float = 0.001, - locus_max_size = 1000000 + locus_max_size = 3000000 ) -> pd.DataFrame: """ Breaking genome in loci and returning all SNPs within the defined loci boundaries. @@ -38,7 +38,6 @@ def locus_breaker( tiledb_data["S"] = 1.0 loci_snps = tiledb_data[tiledb_data["P"] < pvalue_limit].copy() - if loci_snps.empty: return [] diff --git a/scqtl/utils/locusbreaker_plpl.py b/scqtl/utils/locusbreaker_plpl.py new file mode 100644 index 0000000..4adb42e --- /dev/null +++ b/scqtl/utils/locusbreaker_plpl.py @@ -0,0 +1,152 @@ +import polars as pl +from typing import List +from scqtl.utils import compute_pheno_variance + +def locusbreaker_plpl( + tiledb_data, + pvalue_sig: float = 5e-8, + pvalue_limit: float = 5e-6, + hole_size: int = 250000, + phenovar: bool = False, + category: bool = False, + type_sumstat: str = "scqtl", + maf: float = 0.001, + locus_max_size: int = 3000000 +) -> List[pl.DataFrame]: + # Convert to Polars DataFrame + df = pl.from_arrow(tiledb_data) + + # Filter by MAF + df = df.with_columns( + MAF=pl.when(pl.col("EAF") <= 0.5).then(pl.col("EAF")).otherwise(1 - pl.col("EAF")) + ).filter(pl.col("MAF") >= maf).drop("MAF") + + # Compute phenotypic variance if needed + if phenovar: + # Note: compute_pheno_variance might need adjustment for Polars + df = df.with_columns(S=compute_pheno_variance(df.to_pandas())) + else: + df = df.with_columns(S=pl.lit(1.0)) + + # Filter SNPs for locus definition + loci_snps = df.filter(pl.col("P") <= pvalue_limit) + + if loci_snps.is_empty(): + return [] + + # Apply cis/trans filtering for scqtl + if type_sumstat == "scqtl": + if category == "cis": + loci_snps = loci_snps.filter( + (pl.col("DIST") > -1000000) & (pl.col("DIST") < 1000000) + ) + elif category == "trans": + loci_snps = loci_snps.filter( + (pl.col("DIST") < -1000000) | (pl.col("DIST") > 1000000) + ) + + # Define grouping keys + if type_sumstat == "gwas": + group_keys = ["CHR", "TRAIT"] + else: + group_keys = ["CHR", "CELL", "GENE"] + + # Process groups + loci_snps = loci_snps.sort(group_keys + ["POS"]) + + # Identify groups based on hole_size + grouped = loci_snps.with_columns( + pl.col("POS").diff().gt(hole_size).cast(pl.UInt32).fill_null(0).cum_sum().over(group_keys).alias("group_id") + ) + + # Aggregate groups + aggregated = grouped.group_by(group_keys + ["group_id"]).agg( + [ + pl.col("POS").min().alias("min_pos"), + pl.col("POS").max().alias("max_pos"), + pl.col("P").min().alias("min_p"), + pl.all().sort_by("P").first() + ] + ) + + # Filter significant groups and expand regions + significant = aggregated.filter(pl.col("min_p") <= pvalue_sig).with_columns( + start_pos=pl.when(pl.col("min_pos") <= 100000) + .then(1) + .otherwise(pl.col("min_pos") - 100000), + end_pos=pl.col("max_pos") + 100000 + ).filter(pl.col("end_pos") - pl.col("start_pos") < locus_max_size) + if significant.is_empty(): + return [] + + hla_start = 28510120 + hla_end = 33480577 + chr17_inv_start = 44849948 + chr17_inv_end = 44899445 + + # Filter out regions that overlap with excluded regions + significant = significant.filter( + ~( + # Exclude HLA region on chr6 + (pl.col("CHR") == 6) & + ( + (pl.col("start_pos") <= hla_end) & (pl.col("end_pos") >= hla_start) | + (pl.col("start_pos") >= hla_start) & (pl.col("end_pos") <= hla_end) | + (pl.col("start_pos") <= hla_end) & (pl.col("end_pos") >= hla_end) | + (pl.col("start_pos") <= hla_start) & (pl.col("end_pos") >= hla_start) + ) + ) & + ~( + # Exclude inversion region on chr17 + (pl.col("CHR") == 17) & + ( + (pl.col("start_pos") <= chr17_inv_end) & (pl.col("end_pos") >= chr17_inv_start) | + (pl.col("start_pos") >= chr17_inv_start) & (pl.col("end_pos") <= chr17_inv_end) | + (pl.col("start_pos") <= chr17_inv_end) & (pl.col("end_pos") >= chr17_inv_end) | + (pl.col("start_pos") <= chr17_inv_start) & (pl.col("end_pos") >= chr17_inv_start) + ) + ) + ) + + # Collect all SNPs in significant regionsbj + regions = significant.select(group_keys + ["start_pos", "end_pos"]) + all_snps = df.join(regions, on=group_keys).filter( + pl.col("POS").is_between(pl.col("start_pos"), pl.col("end_pos")) + ) + + # Format output + significant = significant.with_columns( + REGION=pl.format("{}:{}:{}", pl.col("CHR"), pl.col("start_pos"), pl.col("end_pos")) + ) + + if type_sumstat == "gwas": + trait_res_df = significant.select( + ["TRAIT", "start_pos", "end_pos", "POS", "P"] + [c for c in df.columns if c not in ["POS", "P"]] + ).rename({"start_pos": "START", "end_pos": "END", "POS": "SNP_POS", "P": "SNP_PVAL"}) + + all_snp_df = all_snps.with_columns( + REGION=pl.format("{}:{}:{}", pl.col("CHR"), pl.col("start_pos"), pl.col("end_pos")) + ).select( + ["TRAIT", "REGION", "POS", "P"] + [c for c in df.columns if c not in ["POS", "P"]] + ).rename({"POS": "SNP_POS", "P": "SNP_PVAL"}) + + trait_res_df = trait_res_df.with_columns(TYPE=pl.lit("gwas")) + all_snp_df = all_snp_df.with_columns(TYPE=pl.lit("gwas")) + else: + trait_res_df = significant.with_columns( + TRAIT=pl.col("CELL") + ":" + pl.col("GENE") + ).select( + ["TRAIT", "start_pos", "end_pos", "POS", "P"] + [c for c in df.columns if c not in ["POS", "P"]] + ).rename({"start_pos": "START", "end_pos": "END", "POS": "SNP_POS", "P": "SNP_PVAL"}) + + all_snp_df = all_snps.with_columns( + TRAIT=pl.col("CELL") + ":" + pl.col("GENE"), + REGION=pl.format("{}:{}:{}", pl.col("CHR"), pl.col("start_pos"), pl.col("end_pos")) + ).select( + ["TRAIT", "REGION", "POS", "P"] + [c for c in df.columns if c not in ["POS", "P"]] + ).rename({"POS": "SNP_POS", "P": "SNP_PVAL"}) + + trait_res_df = trait_res_df.with_columns(TYPE=pl.lit("qtl")) + all_snp_df = all_snp_df.with_columns(TYPE=pl.lit("qtl")) + + return [trait_res_df.to_pandas(), all_snp_df.to_pandas()] \ No newline at end of file From d8e8514b205809e21d3739f7daa219f91369f5ae Mon Sep 17 00:00:00 2001 From: "bruno.ariano" Date: Tue, 30 Sep 2025 16:35:00 +0100 Subject: [PATCH 17/61] few fixes --- scqtl/cli/export.py | 44 ++++-- scqtl/cli/ingestion.py | 36 +++-- scqtl/utils/__init__.py | 10 +- scqtl/utils/create_metadata.py | 17 +- scqtl/utils/generate_table_cell_sumstat.py | 8 +- scqtl/utils/harmonize_ingest.py | 174 ++++++++++++++++----- scqtl/utils/locusbreaker_plpl.py | 49 +++--- 7 files changed, 235 insertions(+), 103 deletions(-) diff --git a/scqtl/cli/export.py b/scqtl/cli/export.py index 2e9ddb6..e26ef22 100644 --- a/scqtl/cli/export.py +++ b/scqtl/cli/export.py @@ -7,6 +7,8 @@ from scqtl.utils.locusbreaker_plpl import locusbreaker_plpl import numpy as np import os +import json +import polars as pl help_doc = """ Query TileDB database and export data. @@ -33,13 +35,12 @@ "Options for Locusbreaker", cloup.option("--locusbreaker", is_flag=True, type=bool, default = False, help="Option to run locusbreaker"), cloup.option("--hole", default = 250000, type=int, help = "Minimum pair-base distance between SNPs in different loci (default: 250000)"), - cloup.option("--phenovar", is_flag = True, type=bool, default = False, help = "Compute the phenotypic variance"), cloup.option("--maf", default = 0.001, type=float, help = "The MAF to filter the TILEDB before locusbreaker is run"), cloup.option("--locus-max-size", default = 3000000, type=float, help = "The maximum size allowed for the locus. Default: 1Mb"), cloup.option("--category",default = "cis",type=str, help = "If locusbreaker run on cis or trans QLTs"), cloup.option("--table", default = None, type=str, help = "Path of the table to provide"), - cloup.option("--type-sumstat", default = None, type=str, help = "Path of the table to provide"), - cloup.option("--batch-name", default = None, type=str, help = "Path of the table to provide"), + cloup.option("--type-sumstat", default = None, type=str, help = "Type of summary data"), + cloup.option("--batch-name", default = None, type=str, help = "Name of the batch"), ) @cloup.option_group( "Options for output", @@ -63,7 +64,6 @@ def export( locusbreaker: bool, maf: float, category: str, - phenovar: bool, table: str, hole: int, out_lb: str, @@ -74,6 +74,28 @@ def export( #Open connection with TileDB tiledb_export = tiledb.open(uri_path, mode="r") + metadata = json.loads(tiledb_export.meta["metadata"]) + rows = [] + if type_sumstat == "qtl": + for cell in metadata["CELL"]: + for chrom, genes in metadata[cell].items(): + for gene, stats in genes.items(): + rows.append({ + "CELL": cell, + "CHR": chrom, + "GENE": gene, + **stats + }) + else: + print(metadata) + for trait in metadata["trait"]: + rows.append({ + "TRAIT": trait, + **metadata[trait] + }) + + + df_meta = pl.DataFrame(rows) if "SNP" in tiledb_export.schema.attr_names and "SNPID" in attr.split(","): attr.replace("SNPID", "SNP") @@ -165,9 +187,10 @@ def query_spec(uri_path, chrom, trait: str = None, cell: str = None, gene: str = return tiledb_filtered @delayed - def delayed_locus_breaker(tiledb_data, maf, pvalue_sig, pvalue_limit, locus_max_size, hole_size, phenovar, category, type_sumstat = "scqtl"): + def delayed_locus_breaker(tiledb_data, maf, pvalue_sig, pvalue_limit, locus_max_size, hole_size, category, metadata, type_sumstat = "scqtl"): # Call locus_breaker with the computed tiledb_data - return locusbreaker_plpl(tiledb_data, maf = maf, pvalue_sig=pvalue_sig, pvalue_limit=pvalue_limit, locus_max_size = locus_max_size, hole_size=hole_size, phenovar = phenovar, category = category, type_sumstat = type_sumstat) + return locusbreaker_plpl(tiledb_data, maf = maf, pvalue_sig=pvalue_sig, pvalue_limit=pvalue_limit, locus_max_size = locus_max_size, + hole_size=hole_size, category = category, type_sumstat = type_sumstat, metadata = metadata) traits = pd.read_csv(table) #for chrom, group in traits.groupby("CHR"): # Process the DataFrame in chunks of 20 rows @@ -181,12 +204,13 @@ def delayed_locus_breaker(tiledb_data, maf, pvalue_sig, pvalue_limit, locus_max_ if type_sumstat == "gwas": # If your sumstat type is "gwas", this collects the traits from the chunk. - trait_list = trait["TRAIT"].tolist() + #trait_list = trait["TRAIT"].tolist() # I am assuming that for GWAS, you can pass a list of traits to query_spec. # I've used the 'trait' parameter for this. # You might need to adjust this depending on how query_spec is defined. - query = query_spec(uri_path, chrom, trait=trait_list, type_sumstat=type_sumstat) + + query = query_spec(uri_path, trait["CHR"], trait=trait["TRAIT"], type_sumstat=type_sumstat) else: # For other sumstat types, this extracts cell and gene from the "TRAIT" column. # It assumes the 'cell' is the same for all genes in a chunk. @@ -206,9 +230,9 @@ def delayed_locus_breaker(tiledb_data, maf, pvalue_sig, pvalue_limit, locus_max_ pvalue_limit=pvalue_limit, locus_max_size=locus_max_size, hole_size=hole, - phenovar=phenovar, category=category, - type_sumstat=type_sumstat) + type_sumstat=type_sumstat, + metadata = df_meta) tasks.append(task) #The batch size to use which is set to the number of workers if Dask is run #if client and ctx.obj["workers"]: diff --git a/scqtl/cli/ingestion.py b/scqtl/cli/ingestion.py index a267871..aba63c1 100644 --- a/scqtl/cli/ingestion.py +++ b/scqtl/cli/ingestion.py @@ -14,7 +14,8 @@ cloup.option("--uri-path", default = None, type=str, help = "Where to store the TileDB"), cloup.option("--file-path", default = None, type=str, help = "List of the files to ingest"), cloup.option("--mapping-file", default = None, type=str, help = "Mapping between columns and TileDB types"), - cloup.option("--type-sumstat", default = "qtl", type=str, help = "Either gwas or qtl, to specify the type of summary statistics being ingested. This is used to harmonize the data accordingly.") + cloup.option("--type-sumstat", default = "qtl", type=str, help = "Either gwas or qtl, to specify the type of summary statistics being ingested. This is used to harmonize the data accordingly."), + cloup.option("--type-trait", default = "quant", type=str, help = "In case gwas is chosen this option is either quant or binary.") ) @cloup.option_group( "Optional parameters", @@ -22,14 +23,15 @@ cloup.option("--sep", default = "\t", type=str, help = "pvar file used to verify the alleles order"), cloup.option("--batch-size", default = 1, type=int, help = "The number of files to ingest at once"), cloup.option("--chunk-size", default = 50000000, type=int, help = "The number of rows to ingest at once"), - cloup.option("--qc", is_flag=True, type=bool, default = False, help = "Harmonize and QC the summary statistics using gwaslab") + cloup.option("--qc", is_flag=True, type=bool, default = False, help = "Harmonize and QC the summary statistics using gwaslab"), + cloup.option("--only-meta", is_flag=True, type=bool, default = False, help = "Create and ingest metadata") ) -def ingest(uri_path:str, sep:str, mapping_file:str, chunk_size:int, batch_size:int, file_path:str, type_sumstat:str, pvar_file:str = None, qc:bool = False): +def ingest(uri_path:str, sep:str, type_trait:str, mapping_file:str, chunk_size:int, batch_size:int, file_path:str, type_sumstat:str, pvar_file:str = None, qc:bool = False, only_meta:bool = False): file_list = pd.read_csv(file_path, sep=",", header=0, dtype=str) #This could be optimized with Dask # Create a Harmonize object - harmonized_object = Harmonize(mapping_file= mapping_file, chunk_size=chunk_size , uri=uri_path, type_sumstat=type_sumstat, pvar_file = pvar_file) + harmonized_object = Harmonize(mapping_file= mapping_file, chunk_size=chunk_size , uri=uri_path, type_sumstat=type_sumstat, pvar_file = pvar_file, type_trait = type_trait) #CHeck if the tiledb already exists, if not create it if not os.path.exists(uri_path): @@ -50,10 +52,10 @@ def ingest(uri_path:str, sep:str, mapping_file:str, chunk_size:int, batch_size:i file = record["FILE"] if "N" in file_list.columns: n = record["N"] - if "n_cases" in file_list.columns: - n_cases = record["N_CASE"] - if "N_CONTROSL" in file_list.columns: - n_controls = record["n_controls"] + if "N_CASES" in file_list.columns: + n_cases = record["N_CASES"] + if "N_CONTROLS" in file_list.columns: + n_controls = record["N_CONTROLS"] if type_sumstat == "qtl": if "CELL" in file_list.columns: cell = record["CELL"] @@ -71,16 +73,16 @@ def ingest(uri_path:str, sep:str, mapping_file:str, chunk_size:int, batch_size:i # Harmonize the data print(f"Harmonizing file: {file}") chunk_pl = pl.read_csv(file,separator=sep,low_memory=True ,null_values="NA") - harmonized_object.harmonize(sumstat = chunk_pl, trait = trait, cell = cell, gene = gene, n = n, n_cases = n_controls, n_cases = n_cases) + harmonized_object.harmonize(sumstat = chunk_pl, trait = trait, cell = cell, gene = gene, n = n, n_cases = n_cases, n_controls = n_controls) #Performing QC using GWASLAB if qc: harmonized_object.qc_sumstat(file_path = file) # Ingest the data - print(f"Ingesting data: {file}") - harmonized_object.ingest_data(file_path = file) - # Create metadata - harmonized_object.create_metadata(file_path = file) - - - #Harmonize(chunk_size, file, uri, pvar_file, type_sumstat="gwas") - #print(f"Batch {i // batch_size + 1} completed.") + if only_meta: + # Create metadata + harmonized_object.create_metadata(file_path = file) + harmonized_object.ingest_metadata() + else: + print(f"Ingesting data: {file}") + harmonized_object.ingest_data(file_path = file) + diff --git a/scqtl/utils/__init__.py b/scqtl/utils/__init__.py index 7b00c7f..cd9faa9 100644 --- a/scqtl/utils/__init__.py +++ b/scqtl/utils/__init__.py @@ -36,13 +36,13 @@ def batch_query_tiledb(array, queries, output_dir, batch_index): def compute_pheno_variance(df, trait_type): - df_pl = pl.from_pandas(df) + if trait_type == "binary": - df_pl = df_pl.with_columns( - (4 * pl.col("n_cases") * pl.col("n_controls"))) / (pl.col("n_cases") + pl.col("n_controls") - ).alias("N") + df = df.with_columns( + ((4 * pl.col("N_CASES") * pl.col("N_CONTROLS")) / ((pl.col("N_CASES") + pl.col("N_CONTROLS")) + )).alias("N")) - median_pl = df_pl.select(((pl.col("SE") ** 2) * pl.col("N") * (2 * pl.col("EAF") * (1 - pl.col("EAF")))).median()) + median_pl = df.select(((pl.col("SE") ** 2) * pl.col("N") * (2 * pl.col("EAF") * (1 - pl.col("EAF")))).median()) median_value = median_pl.item() median_str = str(median_value) return median_str diff --git a/scqtl/utils/create_metadata.py b/scqtl/utils/create_metadata.py index 2f05e98..8c93977 100644 --- a/scqtl/utils/create_metadata.py +++ b/scqtl/utils/create_metadata.py @@ -1,6 +1,6 @@ import json from collections import defaultdict -input_path = "/lustre/scratch124/humgen/projects_v2/cardinal_analysis/analysis/core_dataset/freeze3/tiledbs/Tensor/Bangladeshi/TileDB_f3_Bangladeshi_cis_celltype1_metadata.json" +input_path = "/lustre/scratch124/humgen/projects_v2/cardinal_analysis/analysis/core_dataset/freeze3/tiledbs/Tensor/TileDB_f3_UKB_cis_t2_metadata.json" output_path = input_path.replace(".json", "_fixed.json") objs = [] @@ -19,7 +19,7 @@ print(f"✅ Salvaged {len(objs)} metadata records into {output_path}") -fixed_path = "/lustre/scratch124/humgen/projects_v2/cardinal_analysis/analysis/core_dataset/freeze3/tiledbs/Tensor/Bangladeshi/TileDB_f3_Bangladeshi_cis_celltype1_metadata_fixed.json" +fixed_path = "/lustre/scratch124/humgen/projects_v2/cardinal_analysis/analysis/core_dataset/freeze3/tiledbs/Tensor/TileDB_f3_UKB_cis_t2_metadata_fixed.json" output_path = fixed_path.replace("_fixed.json", "_merged.json") with open(fixed_path) as f: @@ -39,25 +39,24 @@ # Merge file paths if "file_path" in record and record["file_path"] not in merged_metadata["file_path"]: merged_metadata["file_path"].append(record["file_path"]) - # Merge traits - if "trait" in record: + if len(record["trait"]) > 0: for t in record["trait"]: if t not in merged_metadata["trait"]: merged_metadata["trait"].append(t) - # Merge celltypes and their per-chromosome data - if "celltype" in record: + if len(record["celltype"]) > 0: for cell in record["celltype"]: if cell not in merged_metadata["celltype"]: merged_metadata["celltype"].append(cell) # Merge chromosome-level info if exists if cell in record: for chrom, genes in record[cell].items(): - existing_genes = {tuple(g) for g in cell_chrom_data[cell][chrom]} + cell_chrom_data[cell][chrom] = {} + #existing_genes = {g for g in cell_chrom_data[cell][chrom]} for g in genes: - if tuple(g) not in existing_genes: - cell_chrom_data[cell][chrom].append(g) + #if g not in existing_genes: + cell_chrom_data[cell][chrom][g] = genes[g] # Add per-cell/chromosome info for cell, chrom_dict in cell_chrom_data.items(): diff --git a/scqtl/utils/generate_table_cell_sumstat.py b/scqtl/utils/generate_table_cell_sumstat.py index fb351f9..43a4409 100644 --- a/scqtl/utils/generate_table_cell_sumstat.py +++ b/scqtl/utils/generate_table_cell_sumstat.py @@ -1,18 +1,20 @@ import pandas as pd import tiledb rows = [] -tdb = tiledb.open('/lustre/scratch124/humgen/projects_v2/cardinal_analysis/analysis/core_dataset/freeze3/tiledbs/Tensor/Bangladeshi/TileDB_f3_Bangladeshi_cis_celltype1', 'w') +tdb = tiledb.open('/lustre/scratch124/humgen/projects_v2/cardinal_analysis/analysis/core_dataset/freeze3/tiledbs/Tensor/TileDB_f3_UKB_cis_t2', 'w') # Loop over all celltypes in metadata for celltype in merged_metadata["celltype"]: if celltype in merged_metadata: # make sure the key exists in dict groups = merged_metadata[celltype] for group, values in groups.items(): # e.g. group "11" - for gene_id, value in values: + for gene_id in values: rows.append({ "CHR": group, "CELL": celltype, "GENE": gene_id, - "ACAT": value + "N": values[gene_id]["N"], + "ACAT": values[gene_id]["ACAT"], + "PHENOVAR": values[gene_id]["PHENO_VAR"], }) df = pd.DataFrame(rows) diff --git a/scqtl/utils/harmonize_ingest.py b/scqtl/utils/harmonize_ingest.py index e138f70..17b7d9f 100644 --- a/scqtl/utils/harmonize_ingest.py +++ b/scqtl/utils/harmonize_ingest.py @@ -8,6 +8,7 @@ from scipy import stats import tiledb import gwaslab as gl +from collections import defaultdict from scqtl.utils import acat_optimized, compute_pheno_variance @@ -124,12 +125,12 @@ def harmonize(self, sumstat, trait: str = None, cell: str = None, gene: str = No else: raise HarmonizationError("N column is missing and N parameter is not provided") elif self.type_trait == "binary": - if not "n_cases" in self.chunk_pl.columns and "n_controls": + if not "N_CASES" in self.chunk_pl.columns and "N_CONTROLS": if n_cases is not None and n_controls is not None: self.chunk_pl = self.chunk_pl.with_columns( - pl.lit(n_cases).alias("n_cases"), - pl.lit(n_controls).alias("n_controls"), - pl.lit(n_cases + n_controls).alias("N"), + pl.lit(float(n_cases)).alias("N_CASES"), + pl.lit(float(n_controls)).alias("N_CONTROLS"), + pl.lit(float(n_cases) + float(n_controls)).alias("N"), ) else: raise HarmonizationError("n_cases and n_controls columns are missing and were not provided") @@ -279,8 +280,8 @@ def qc_sumstat(self, file_path:str): se="SE", p="P", n="N", - ncase = "n_cases", - ncontrol = "n_control", + ncase = "N_CASES", + ncontrol = "N_CONTROLS", ea = "EA", nea = "NEA", other = ["TRAIT","RSID"]) @@ -311,7 +312,6 @@ def qc_sumstat(self, file_path:str): def ingest_data(self, file_path): """Append harmonized data to TileDB.""" pl.Config.set_tbl_cols(-1) - self.chunk_pl = self.chunk_pl.select(self.tiledb_types.keys()) if self.type_sumstat == "gwas": dedup_keys = ["CHR", "POS", "TRAIT"] else: @@ -323,11 +323,12 @@ def ingest_data(self, file_path): .with_columns(pl.count().over(dedup_keys).alias("_grp_count")) .filter(pl.col("_grp_count") == 1) .drop("_grp_count") - ) + ) + chunk_pl_ingest = self.chunk_pl.select(self.tiledb_types.keys()) try: tiledb.from_pandas( uri=self.uri, - dataframe=self.chunk_pl.to_pandas(), + dataframe=chunk_pl_ingest.to_pandas(), index_dims=self.dimension_tiledb, column_types=self.tiledb_types, allows_duplicates = False, @@ -346,10 +347,9 @@ def create_metadata(self, file_path: str): #else: metadata = { "file_path": file_path, - "celltype": [], + "CELL": [], "trait": [] } - if self.type_sumstat == "qtl": # Get unique cell types @@ -357,11 +357,13 @@ def create_metadata(self, file_path: str): pl.col("P").map_batches( lambda s: pl.Series([acat_optimized(s)]), return_dtype=pl.Float64 - ).alias("ACAT_P") + ).alias("ACAT_P"), + pl.col("N").first().alias("N") ) self.chunk_pl = self.chunk_pl.with_columns( self.chunk_pl["ACAT_P"].list.first().alias("ACAT_P_scalar") ) + celltypes = self.chunk_pl["CELL"].unique().to_list() if not celltypes: raise HarmonizationError("No cell types found in the data") @@ -374,29 +376,47 @@ def create_metadata(self, file_path: str): # Filter by this cell type df_cell = self.chunk_pl.filter(self.chunk_pl["CELL"] == cell) - # Group by chromosome and collect unique genes - - chr_gene_map = df_cell.group_by(["CHR", "GENE"]).agg([ + if self.type_trait == "quant": + chr_gene_map = df_cell.group_by(["CHR", "GENE"]).agg([ pl.col("ACAT_P_scalar").first().alias("ACAT"), - pl.col("N").first().alias("N") + pl.col("N").first() ]) - # Append to metadata, making sure we extend if already exists - - for row in chr_gene_map.iter_rows(named=True): - chrom = row["CHR"] - gene = row["GENE"] - acat = row["ACAT"] - n = row["N"] - if chrom not in metadata[cell]: + for row in chr_gene_map.iter_rows(named=True): + chrom = row["CHR"] + gene = row["GENE"] + acat = row["ACAT"] + n = float(row["N"]) + if chrom not in metadata[cell]: metadata[cell][chrom] = {} metadata[cell][chrom][gene] = { "N": n, "ACAT": acat, - "GENE": gene, "PHENO_VAR": 1 } - + else: + chr_gene_map = df_cell.group_by(["CHR", "GENE"]).agg([ + pl.col("ACAT_P_scalar").first().alias("ACAT"), + pl.col("N").first(), + pl.col("N_CASES").first(), + pl.col("N_CONTROLS").first() + ]) + for row in chr_gene_map.iter_rows(named=True): + chrom = row["CHR"] + gene = row["GENE"] + acat = row["ACAT"] + n = float(row["N"]) + ncases = float(row["N_CASES"]) + ncontrols = float(row["N_CONTROLS"]) + if chrom not in metadata[cell]: + metadata[cell][chrom] = {} + metadata[cell][chrom][gene] = { + "N": n, + "N_CASES":ncases, + "N_CONTROLS":ncontrols, + "ACAT": acat, + "PHENO_VAR": 1 + } else: if "TRAIT" not in self.chunk_pl.columns: raise HarmonizationError("TRAIT column is missing in the data") @@ -408,18 +428,102 @@ def create_metadata(self, file_path: str): metadata["trait"].append(trait) df_trait = self.chunk_pl.filter(self.chunk_pl["TRAIT"] == trait) pheno_var = compute_pheno_variance(df_trait, self.type_trait) - n = df_trait["N"].unique().to_list() - metadata[trait] = {"N":N, "PHENO_VAR":pheno_var} + n = df_trait["N"].unique().to_list()[0] + metadata[trait] = {"N":n, "PHENO_VAR":pheno_var} if self.type_trait == "binary": - n_cases = df_trait["n_cases"].unique().to_list() - n_controls = df_trait["n_controls"].unique().to_list() - metadata[trait]["n_cases"] = n_cases - metadata[trait]["n_controls"] = n_controls - metadata[trait] = {"N":N, "PHENOVAR": pheno_var} - + n_cases = df_trait["N_CASES"].unique().to_list()[0] + n_controls = df_trait["N_CONTROLS"].unique().to_list()[0] + metadata[trait]["N_CASES"] = n_cases + metadata[trait]["N_CONTROLS"] = n_controls + f = open(f'{self.uri}_metadata.json', 'a') with open(f'{self.uri}_metadata.json', 'a') as f: json.dump(metadata, f) - logger.info("Metadata created successfully") \ No newline at end of file + logger.info("Metadata created successfully") + + def ingest_metadata(self): + metadata_records = [] + with open(f'{self.uri}_metadata.json') as f: + text = f.read() + + tdb = tiledb.open(self.uri, 'w') + decoder = json.JSONDecoder() + idx = 0 + while idx < len(text): + obj, idx = decoder.raw_decode(text, idx) + metadata_records.append(obj) + + # Create a merged dictionary + merged_metadata = { + "file_path": [], + "trait": [], + "celltype": [] + } + + # For storing per-cell/chromosome info if present + cell_chrom_data = defaultdict(lambda: defaultdict(list)) + + for record in metadata_records: + # Merge file paths + if "file_path" in record and record["file_path"] not in merged_metadata["file_path"]: + merged_metadata["file_path"].append(record["file_path"]) + # Merge traits + if "trait" in record and len(record["trait"]) > 0: + for t in record["trait"]: + if t not in merged_metadata["trait"]: + merged_metadata["trait"].append(t) + if t in record: + merged_metadata[t] = record[t] + # Merge celltypes and their per-chromosome data + if "cell" in record and len(record["celltype"]) > 0: + for cell in record["celltype"]: + if cell not in merged_metadata["celltype"]: + merged_metadata["celltype"].append(cell) + # Merge chromosome-level info if exists + if cell in record: + for chrom, genes in record[cell].items(): + cell_chrom_data[cell][chrom] = {} + for g in genes: + cell_chrom_data[cell][chrom][g] = genes[g] + + # Add per-cell/chromosome info + for cell, chrom_dict in cell_chrom_data.items(): + merged_metadata[cell] = chrom_dict + + rows = [] + tdb = tiledb.open(self.uri, 'w') + tdb.meta["metadata"] = json.dumps(merged_metadata) + # Loop over all celltypes in metadata + for celltype in merged_metadata["celltype"]: + if celltype in merged_metadata: # make sure the key exists in dict + groups = merged_metadata[celltype] + for group, values in groups.items(): # e.g. group "11" + for gene_id in values: + if self.type_trait=="quant": + rows.append({ + "CHR": group, + "CELL": celltype, + "GENE": gene_id, + "N": values[gene_id]["N"], + "ACAT": values[gene_id]["ACAT"], + "PHENOVAR": values[gene_id]["PHENO_VAR"], + }) + else: + rows.append({ + "CHR": group, + "CELL": celltype, + "GENE": gene_id, + "N": values[gene_id]["N"], + "N_CASES": values[gene_id]["N_CASES"], + "N_CONTROLS": values[gene_id]["N_CONTROLS"], + "ACAT": values[gene_id]["ACAT"], + "PHENOVAR": values[gene_id]["PHENO_VAR"], + }) + + + df = pd.DataFrame(rows) + df.to_csv(f"{self.uri}_metadata.csv",index = False) + + diff --git a/scqtl/utils/locusbreaker_plpl.py b/scqtl/utils/locusbreaker_plpl.py index 4adb42e..a6c9a4c 100644 --- a/scqtl/utils/locusbreaker_plpl.py +++ b/scqtl/utils/locusbreaker_plpl.py @@ -1,41 +1,39 @@ import polars as pl from typing import List -from scqtl.utils import compute_pheno_variance def locusbreaker_plpl( tiledb_data, + metadata:pl.DataFrame, pvalue_sig: float = 5e-8, pvalue_limit: float = 5e-6, hole_size: int = 250000, - phenovar: bool = False, category: bool = False, type_sumstat: str = "scqtl", maf: float = 0.001, - locus_max_size: int = 3000000 + locus_max_size: int = 3000000, ) -> List[pl.DataFrame]: # Convert to Polars DataFrame + print("Locus-breaker") df = pl.from_arrow(tiledb_data) - # Filter by MAF df = df.with_columns( MAF=pl.when(pl.col("EAF") <= 0.5).then(pl.col("EAF")).otherwise(1 - pl.col("EAF")) ).filter(pl.col("MAF") >= maf).drop("MAF") - # Compute phenotypic variance if needed - if phenovar: - # Note: compute_pheno_variance might need adjustment for Polars - df = df.with_columns(S=compute_pheno_variance(df.to_pandas())) - else: - df = df.with_columns(S=pl.lit(1.0)) - # Filter SNPs for locus definition - loci_snps = df.filter(pl.col("P") <= pvalue_limit) + + if type_sumstat == "gwas": + if "N" in df.columns: + df = df.drop("N") + df = df.join(metadata, on = ["TRAIT"]) + else: + df = df.join(metadata, on = ["CHR","CELL","GENE"]) + loci_snps = df.filter(pl.col("P") <= pvalue_limit) if loci_snps.is_empty(): return [] - # Apply cis/trans filtering for scqtl - if type_sumstat == "scqtl": + if type_sumstat == "qtl": if category == "cis": loci_snps = loci_snps.filter( (pl.col("DIST") > -1000000) & (pl.col("DIST") < 1000000) @@ -47,13 +45,13 @@ def locusbreaker_plpl( # Define grouping keys if type_sumstat == "gwas": - group_keys = ["CHR", "TRAIT"] + group_keys = ["CHR", "TRAIT","PHENO_VAR"] else: - group_keys = ["CHR", "CELL", "GENE"] + group_keys = ["CHR", "CELL", "GENE","PHENO_VAR"] # Process groups loci_snps = loci_snps.sort(group_keys + ["POS"]) - + print() # Identify groups based on hole_size grouped = loci_snps.with_columns( pl.col("POS").diff().gt(hole_size).cast(pl.UInt32).fill_null(0).cum_sum().over(group_keys).alias("group_id") @@ -121,14 +119,17 @@ def locusbreaker_plpl( if type_sumstat == "gwas": trait_res_df = significant.select( - ["TRAIT", "start_pos", "end_pos", "POS", "P"] + [c for c in df.columns if c not in ["POS", "P"]] + ["TRAIT", "start_pos", "end_pos", "POS", "P"] + + [c for c in df.columns if c not in ["POS", "P", "TRAIT"]] ).rename({"start_pos": "START", "end_pos": "END", "POS": "SNP_POS", "P": "SNP_PVAL"}) + all_snp_df = all_snps.with_columns( REGION=pl.format("{}:{}:{}", pl.col("CHR"), pl.col("start_pos"), pl.col("end_pos")) - ).select( - ["TRAIT", "REGION", "POS", "P"] + [c for c in df.columns if c not in ["POS", "P"]] - ).rename({"POS": "SNP_POS", "P": "SNP_PVAL"}) + ).select( + ["TRAIT", "REGION", "POS", "P"] + + [c for c in df.columns if c not in ["POS", "P", "TRAIT"]] + ).rename({"POS": "SNP_POS", "P": "SNP_PVAL"}) trait_res_df = trait_res_df.with_columns(TYPE=pl.lit("gwas")) all_snp_df = all_snp_df.with_columns(TYPE=pl.lit("gwas")) @@ -145,8 +146,8 @@ def locusbreaker_plpl( ).select( ["TRAIT", "REGION", "POS", "P"] + [c for c in df.columns if c not in ["POS", "P"]] ).rename({"POS": "SNP_POS", "P": "SNP_PVAL"}) - - trait_res_df = trait_res_df.with_columns(TYPE=pl.lit("qtl")) - all_snp_df = all_snp_df.with_columns(TYPE=pl.lit("qtl")) + + trait_res_df = trait_res_df.with_columns(TYPE=pl.lit(type_sumstat)) + all_snp_df = all_snp_df.with_columns(TYPE=pl.lit(type_sumstat)) return [trait_res_df.to_pandas(), all_snp_df.to_pandas()] \ No newline at end of file From a73c4dc07846f8c7a0d2ad465197f3e92c7728db Mon Sep 17 00:00:00 2001 From: Bruno Ariano Date: Fri, 3 Oct 2025 09:57:58 +0200 Subject: [PATCH 18/61] Update export.py --- scqtl/cli/export.py | 2 -- 1 file changed, 2 deletions(-) diff --git a/scqtl/cli/export.py b/scqtl/cli/export.py index e26ef22..016ab3d 100644 --- a/scqtl/cli/export.py +++ b/scqtl/cli/export.py @@ -96,8 +96,6 @@ def export( df_meta = pl.DataFrame(rows) - if "SNP" in tiledb_export.schema.attr_names and "SNPID" in attr.split(","): - attr.replace("SNPID", "SNP") client = ctx.obj.get("dask_cluster", None) if client: From bbf4e4855d5857c62c2bf42fb98e981b16b295bc Mon Sep 17 00:00:00 2001 From: "bruno.ariano" Date: Fri, 3 Oct 2025 15:12:20 +0100 Subject: [PATCH 19/61] Other essential changes --- scqtl/cli/export.py | 14 +++++--------- scqtl/utils/locusbreaker_plpl.py | 5 ++--- 2 files changed, 7 insertions(+), 12 deletions(-) diff --git a/scqtl/cli/export.py b/scqtl/cli/export.py index 016ab3d..7bbca1d 100644 --- a/scqtl/cli/export.py +++ b/scqtl/cli/export.py @@ -87,7 +87,6 @@ def export( **stats }) else: - print(metadata) for trait in metadata["trait"]: rows.append({ "TRAIT": trait, @@ -119,10 +118,6 @@ def export( if schema: print(tiledb_export.schema) - if client: - print("Shutting down Dask cluster...") - client.close() - exit() #Intersect the tiledb with a list of SNPs if snp: @@ -219,7 +214,7 @@ def delayed_locus_breaker(tiledb_data, maf, pvalue_sig, pvalue_limit, locus_max_ #cell = cells[0] # Here, I am assuming the 'gene' parameter of query_spec can accept a list of genes. - query = query_spec(uri_path, chrom, cell=cell, gene=genes, type_sumstat=type_sumstat) + query = query_spec(uri_path, trait["CHR"], cell=cell, gene=genes, type_sumstat=type_sumstat) # The call to delayed_locus_breaker remains the same, but it now processes a batch. task = delayed_locus_breaker(query, @@ -252,9 +247,6 @@ def delayed_locus_breaker(tiledb_data, maf, pvalue_sig, pvalue_limit, locus_max_ write_header_segment = not os.path.exists(f"{out_lb}_batch_{batch_name}_segment.csv") interval.to_csv(f"{out_lb}_batch_{batch_name}_interval.csv", mode="a", index=False, header = write_header_interval) segments.to_csv(f"{out_lb}_batch_{batch_name}_segment.csv", mode="a", index=False, header = write_header_segment) - if client: - print("Shutting down Dask cluster...") - client.close() #If no SNP or locusbreker is run only a filtering is done else: @@ -277,6 +269,10 @@ def delayed_locus_breaker(tiledb_data, maf, pvalue_sig, pvalue_limit, locus_max_ print("Shutting down Dask cluster...") client.close() exit() + if client: + print("Shutting down Dask cluster...") + client.close() + diff --git a/scqtl/utils/locusbreaker_plpl.py b/scqtl/utils/locusbreaker_plpl.py index a6c9a4c..a78a3db 100644 --- a/scqtl/utils/locusbreaker_plpl.py +++ b/scqtl/utils/locusbreaker_plpl.py @@ -13,7 +13,6 @@ def locusbreaker_plpl( locus_max_size: int = 3000000, ) -> List[pl.DataFrame]: # Convert to Polars DataFrame - print("Locus-breaker") df = pl.from_arrow(tiledb_data) # Filter by MAF df = df.with_columns( @@ -27,6 +26,7 @@ def locusbreaker_plpl( if "N" in df.columns: df = df.drop("N") df = df.join(metadata, on = ["TRAIT"]) + else: df = df.join(metadata, on = ["CHR","CELL","GENE"]) loci_snps = df.filter(pl.col("P") <= pvalue_limit) @@ -51,7 +51,6 @@ def locusbreaker_plpl( # Process groups loci_snps = loci_snps.sort(group_keys + ["POS"]) - print() # Identify groups based on hole_size grouped = loci_snps.with_columns( pl.col("POS").diff().gt(hole_size).cast(pl.UInt32).fill_null(0).cum_sum().over(group_keys).alias("group_id") @@ -68,6 +67,7 @@ def locusbreaker_plpl( ) # Filter significant groups and expand regions + significant = aggregated.filter(pl.col("min_p") <= pvalue_sig).with_columns( start_pos=pl.when(pl.col("min_pos") <= 100000) .then(1) @@ -76,7 +76,6 @@ def locusbreaker_plpl( ).filter(pl.col("end_pos") - pl.col("start_pos") < locus_max_size) if significant.is_empty(): return [] - hla_start = 28510120 hla_end = 33480577 chr17_inv_start = 44849948 From fa710c7ead45485ac1ca24352c9f8652fd6e1903 Mon Sep 17 00:00:00 2001 From: Bruno Ariano Date: Thu, 9 Oct 2025 16:18:59 +0200 Subject: [PATCH 20/61] removing dask and adding chunk option (#7) --- scqtl/cli/ingestion.py | 48 ++++++++++++++++++++++------ scqtl/utils/fix_json.py | 55 +++++++++++++++++++++++++++++++++ scqtl/utils/harmonize_ingest.py | 29 ++++++++++------- 3 files changed, 110 insertions(+), 22 deletions(-) create mode 100644 scqtl/utils/fix_json.py diff --git a/scqtl/cli/ingestion.py b/scqtl/cli/ingestion.py index aba63c1..7913cb0 100644 --- a/scqtl/cli/ingestion.py +++ b/scqtl/cli/ingestion.py @@ -21,19 +21,18 @@ "Optional parameters", cloup.option("--pvar-file", default = None, type=str, help = "pvar file used to verify the alleles order"), cloup.option("--sep", default = "\t", type=str, help = "pvar file used to verify the alleles order"), - cloup.option("--batch-size", default = 1, type=int, help = "The number of files to ingest at once"), - cloup.option("--chunk-size", default = 50000000, type=int, help = "The number of rows to ingest at once"), + cloup.option("--chunk-files", is_flag=True, type=bool, default = False, help = "If chunk files in block"), + cloup.option("--chunk-size", default = 20000000, type=int, help = "The approximate number of rows to ingest at once"), cloup.option("--qc", is_flag=True, type=bool, default = False, help = "Harmonize and QC the summary statistics using gwaslab"), cloup.option("--only-meta", is_flag=True, type=bool, default = False, help = "Create and ingest metadata") ) -def ingest(uri_path:str, sep:str, type_trait:str, mapping_file:str, chunk_size:int, batch_size:int, file_path:str, type_sumstat:str, pvar_file:str = None, qc:bool = False, only_meta:bool = False): +def ingest(uri_path:str, sep:str, type_trait:str, mapping_file:str, chunk_files:bool, chunk_size:int, file_path:str, type_sumstat:str, pvar_file:str = None, qc:bool = False, only_meta:bool = False): file_list = pd.read_csv(file_path, sep=",", header=0, dtype=str) - #This could be optimized with Dask # Create a Harmonize object - harmonized_object = Harmonize(mapping_file= mapping_file, chunk_size=chunk_size , uri=uri_path, type_sumstat=type_sumstat, pvar_file = pvar_file, type_trait = type_trait) + harmonized_object = Harmonize(mapping_file= mapping_file, uri=uri_path, type_sumstat=type_sumstat, pvar_file = pvar_file, type_trait = type_trait) - #CHeck if the tiledb already exists, if not create it + #Check if the tiledb already exists, if not create it if not os.path.exists(uri_path): print(f"Creating TileDB at {uri_path}") harmonized_object.create_tiledb() @@ -46,9 +45,9 @@ def ingest(uri_path:str, sep:str, type_trait:str, mapping_file:str, chunk_size:i n = None n_cases = None n_controls = None - #for i in range(0, len(file_list), batch_size): + buffer_pl = None + buffer_count = 0 for record_index, record in file_list.iterrows(): - #batch_files = file_list[i:i + batch_size] file = record["FILE"] if "N" in file_list.columns: n = record["N"] @@ -61,7 +60,6 @@ def ingest(uri_path:str, sep:str, type_trait:str, mapping_file:str, chunk_size:i cell = record["CELL"] if "GENE" in file_list.columns: gene = record["GENE"] - if type_sumstat == "gwas": if "TRAIT" in file_list.columns: trait = record["TRAIT"] @@ -73,6 +71,36 @@ def ingest(uri_path:str, sep:str, type_trait:str, mapping_file:str, chunk_size:i # Harmonize the data print(f"Harmonizing file: {file}") chunk_pl = pl.read_csv(file,separator=sep,low_memory=True ,null_values="NA") + if chunk_files: + file_len = len(chunk_pl) + # Start or extend the buffer + if buffer_pl is None: + buffer_pl = chunk_pl + buffer_count = file_len + else: + buffer_pl = pl.concat([buffer_pl, chunk_pl]) + buffer_count += file_len + + # If the buffer reached chunk_size, process it + if buffer_count >= chunk_size or file in file_list.iloc[-1:]["FILE"].values: + print(f"Processing buffered chunk of size {buffer_count}") + harmonized_object.harmonize( + sumstat=buffer_pl, trait=trait, cell=cell, gene=gene, + n=n, n_cases=n_cases, n_controls=n_controls + ) + if qc: + harmonized_object.qc_sumstat(file_path=file) + if only_meta: + harmonized_object.create_metadata(file_path=file) + harmonized_object.ingest_metadata() + else: + harmonized_object.ingest_data(file_path=file) + + # Reset buffer + buffer_pl = None + buffer_count = 0 + # Continue to next file + continue harmonized_object.harmonize(sumstat = chunk_pl, trait = trait, cell = cell, gene = gene, n = n, n_cases = n_cases, n_controls = n_controls) #Performing QC using GWASLAB if qc: @@ -85,4 +113,4 @@ def ingest(uri_path:str, sep:str, type_trait:str, mapping_file:str, chunk_size:i else: print(f"Ingesting data: {file}") harmonized_object.ingest_data(file_path = file) - + diff --git a/scqtl/utils/fix_json.py b/scqtl/utils/fix_json.py new file mode 100644 index 0000000..ef83c6c --- /dev/null +++ b/scqtl/utils/fix_json.py @@ -0,0 +1,55 @@ +import json +import re +from collections import defaultdict + +# === STEP 1: Read the entire string from file === +with open("/project/cardinal/QTLs/freeze3/TileDBs/TileDB_metanalyses_gh_celltype2_freeze3_metadata.json", "r", encoding="utf-8") as f: + data_str = f.read() + +# === STEP 2: Split based on the start of each JSON fragment === +# We capture the first '{' before each file_path +fragments = re.findall(r'(\{[^{]*"file_path":.*?)(?=\{[^{]*"file_path":|\Z)', data_str, flags=re.S) + +print(f"🧩 Found {len(fragments)} fragments") + +# === STEP 3: Parse each fragment === +parsed_fragments = [] +for i, frag in enumerate(fragments): + try: + parsed_fragments.append(json.loads(frag)) + except json.JSONDecodeError as e: + print(f"⚠️ Fragment {i} failed to parse at char {e.pos}: {e}") + print(frag[:300] + "...") + # optional: skip or raise + continue + +# === STEP 4: Merge fragments as before === +merged = { + "trait": [], + "celltype": [], +} +celltype_data = defaultdict(lambda: defaultdict(dict)) + +for frag in parsed_fragments: + if "trait" in frag and isinstance(frag["trait"], list): + merged["trait"].extend(frag["trait"]) + if "celltype" in frag and isinstance(frag["celltype"], list): + merged["celltype"].extend(frag["celltype"]) + for key, val in frag.items(): + if key in ("trait", "celltype", "CELL", "file_path"): + continue + for num, genes in val.items(): + for gene_id, gene_data in genes.items(): + celltype_data[key][num][gene_id] = gene_data + +for celltype, numbers in celltype_data.items(): + merged[celltype] = numbers + +merged["trait"] = list(dict.fromkeys(merged["trait"])) +merged["celltype"] = list(dict.fromkeys(merged["celltype"])) + +# === STEP 5: Save merged JSON === +with open("metadata_merged.json", "w", encoding="utf-8") as out_f: + json.dump(merged, out_f, indent=2) + +print("✅ Merged JSON written to metadata_merged.json") diff --git a/scqtl/utils/harmonize_ingest.py b/scqtl/utils/harmonize_ingest.py index 17b7d9f..eda4fe9 100644 --- a/scqtl/utils/harmonize_ingest.py +++ b/scqtl/utils/harmonize_ingest.py @@ -22,9 +22,8 @@ class HarmonizationError(Exception): class Harmonize: - def __init__(self, mapping_file: str, chunk_size: int, uri: str, type_sumstat: str, pvar_file: str, type_trait: str): + def __init__(self, mapping_file: str, uri: str, type_sumstat: str, pvar_file: str, type_trait: str): self.mapping_file = mapping_file - self.chunk_size = chunk_size self.uri = uri self.pvar_file = pvar_file self.type_sumstat = type_sumstat @@ -38,9 +37,9 @@ def create_mapping(self): if df.empty: raise HarmonizationError("Mapping file is empty or not formatted correctly.") self.mapping_types = dict(zip(df["key"], df["value"])) - #check that "BETA", "SE", "AF" are in the vlaues of the mapping_types - if not all(col in self.mapping_types.values() for col in ["BETA", "SE", "EAF"]): - raise HarmonizationError("Mapping file must contain BETA, SE, and EAF columns.") + #check that "BETA", "SE" are in the vlaues of the mapping_types + if not all(col in self.mapping_types.values() for col in ["BETA", "SE"]): + raise HarmonizationError("Mapping file must contain BETA and SE columns.") # Check if CHR and POS or SNP are present if not all(col for col in ["CHR", "POS"] if col in self.mapping_types.values()): if "SNPID" not in self.mapping_types.values(): @@ -95,6 +94,7 @@ def align_alleles(self): if not Path(self.pvar_file).is_file(): raise FileNotFoundError(f"pvar_file {self.pvar_file} does not exist") + #The ALT must correspond to the alternative allele pvar_df = pl.read_csv( self.pvar_file, separator="\t", @@ -102,7 +102,7 @@ def align_alleles(self): dtypes={"CHROM": pl.Utf8, "POS": pl.Utf8, "SNPID": pl.Utf8, "REF": pl.Utf8, "ALT": pl.Utf8}, ) - + #Here we assume the SNPID is alphabetically sortedin both pvar and summary statistics self.chunk_pl = self.chunk_pl.join(pvar_df, on="SNPID", how="inner", suffix="_pvar") swap = pl.col("ALT")< pl.col("REF") @@ -125,8 +125,9 @@ def harmonize(self, sumstat, trait: str = None, cell: str = None, gene: str = No else: raise HarmonizationError("N column is missing and N parameter is not provided") elif self.type_trait == "binary": - if not "N_CASES" in self.chunk_pl.columns and "N_CONTROLS": - if n_cases is not None and n_controls is not None: + + if not all(sample_size in self.chunk_pl.columns for sample_size in ["N_CASES", "N_CONTROLS"]): + if not None in [n_cases, n_controls]: self.chunk_pl = self.chunk_pl.with_columns( pl.lit(float(n_cases)).alias("N_CASES"), pl.lit(float(n_controls)).alias("N_CONTROLS"), @@ -137,9 +138,6 @@ def harmonize(self, sumstat, trait: str = None, cell: str = None, gene: str = No else: raise HarmonizationError("Type of trait must be either binary or quant") - - - # If CHR/POS missing, extract from SNP ID if "CHR" not in self.chunk_pl.columns or "POS" not in self.chunk_pl.columns: self.chunk_pl = self.chunk_pl.with_columns( @@ -151,7 +149,13 @@ def harmonize(self, sumstat, trait: str = None, cell: str = None, gene: str = No if "SNPID" in self.chunk_pl.columns: self.chunk_pl = self.chunk_pl.drop("SNPID") - + + if "EAF" not in self.chunk_pl.columns: + self.chunk_pl = self.chunk_pl.with_columns(pl.lit(0).alias("EAF")) + if "DIST" not in self.chunk_pl.columns: + self.chunk_pl = self.chunk_pl.with_columns(pl.lit(1).alias("DIST")) + + #Here we always assumbe that the SNPs are in REF=A1 and ALT=A2 swap = pl.col("A1") < pl.col("A2") #Start by creating new SNPID aligned @@ -347,6 +351,7 @@ def create_metadata(self, file_path: str): #else: metadata = { "file_path": file_path, + "celltype":[], "CELL": [], "trait": [] } From 815d784cf925e11508928fb85995adc9a6245650 Mon Sep 17 00:00:00 2001 From: bruno-ariano Date: Tue, 14 Oct 2025 18:38:56 +0200 Subject: [PATCH 21/61] add batch ingestion option --- conf/base.config | 41 ++++++++++ conf/test.config | 38 ++++++++++ main.nf | 0 modules/create_metadata/main.nf | 37 +++++++++ modules/ingestion/main.nf | 31 ++++++++ modules/locusbreaker/main.nf | 37 +++++++++ modules/regions/main.nf | 37 +++++++++ nextflow.config | 14 ++++ scqtl/utils/harmonize_ingest.py | 6 +- scqtl/utils/test_pvalues.py | 129 ++++++++++++++++++++++++++++++++ 10 files changed, 365 insertions(+), 5 deletions(-) create mode 100644 conf/base.config create mode 100644 conf/test.config create mode 100644 main.nf create mode 100644 modules/create_metadata/main.nf create mode 100644 modules/ingestion/main.nf create mode 100644 modules/locusbreaker/main.nf create mode 100644 modules/regions/main.nf create mode 100644 scqtl/utils/test_pvalues.py diff --git a/conf/base.config b/conf/base.config new file mode 100644 index 0000000..13171f4 --- /dev/null +++ b/conf/base.config @@ -0,0 +1,41 @@ +process { + conda = "/ssu/gassu/conda_envs/flanders_3.2" + // conda = "${projectDir}/pipeline_environment.yml" + container = "htgenomeanalysisunit/flanders:3.0.1" + + // memory errors which should be retried. otherwise error out + errorStrategy = { task.exitStatus in ((130..145) + 104) ? 'retry' : 'finish' } + maxRetries = 3 + + withLabel:process_single { + cpus = { 1 } + memory = { 8.GB * task.attempt } + time = { 1.h * task.attempt } + } + withLabel:process_low { + cpus = { 1 * task.attempt } + memory = { 12.GB * task.attempt } + time = { 1.h * task.attempt } + } + withLabel:process_medium { + cpus = { 1 * task.attempt } + memory = { 24.GB * task.attempt } + time = { 3.h * task.attempt } + } + withLabel:process_high { + cpus = { 1 * task.attempt } + memory = { 32.GB * task.attempt } + time = { 5.h * task.attempt } + } + withLabel:process_long { + time = { 12.h * task.attempt } + } + withLabel:process_multi { + cpus = { 4 * task.attempt } + memory = { 25.GB * task.attempt } + time = { 6.h * task.attempt } + } + withLabel:process_high_memory { + memory = { 64.GB * task.attempt } + } +} diff --git a/conf/test.config b/conf/test.config new file mode 100644 index 0000000..5194228 --- /dev/null +++ b/conf/test.config @@ -0,0 +1,38 @@ +// A prototype for a test configuration file + +profiles { + test { + params { + summarystats_input = "${projectDir}/example_data/example_data_finemapping_input_table.tsv" + run_liftover = true + is_test_profile = true + large_locus_size = 1000000 + } + } + test_long { + params { + summarystats_input = "${projectDir}/example_data/example_data_finemapping_input_table_long.tsv" + run_liftover = false + is_test_profile = true + large_locus_size = 1000000 + } + } + test_tiledb { + params { + tiledb = true + tiledb_uri = "${projectDir}/example_data/TileDB_test" + tiledb_batch_size = 2 + path_tiledb_lb_out = "out" + tiledb_lb_maf = 0.01 + tiledb_lb_typesumstat = "gwas" + tiledb_lb_hole = 250000 + tiledb_metadata_file = "${projectDir}/example_data/example_data_tiledb_metadata.csv" + tiledb_bfile = "${projectDir}/example_data/ld/1KG_phase3_hg37_1:10546866-11576788_alpha_sorted_alleles" + tiledb_cs_thresh = 0.99 + is_test_profile = true + tiledb_large_locus_size = 1000000 + workers = 4 + run_colocalization = true + } + } +} diff --git a/main.nf b/main.nf new file mode 100644 index 0000000..e69de29 diff --git a/modules/create_metadata/main.nf b/modules/create_metadata/main.nf new file mode 100644 index 0000000..0bc6c39 --- /dev/null +++ b/modules/create_metadata/main.nf @@ -0,0 +1,37 @@ +#!/usr/bin/env nextflow + +process LOCUS_BREAKER_TILEDB { + label "process_multi" + // conda '/ssu/gassu/conda_envs/scqtl' + conda '/software/cardinal_analysis/ht/conda_envs/scqtl' + + publishDir "${params.outdir}/results/gwas_and_loci_tables/", mode: params.publish_dir_mode + + +// Define input + input: + tuple val(batch_index), path(traits_list_table) + +// Define output + output: + path("*_interval.csv"), emit:locus_breaker_tdb_intervals, optional: true + tuple path("dummy_index"), path("*_segment.csv"), emit:locus_breaker_tdb_segments, optional: true + +// Define the shell script to execute + script: + """ + scqtl --workers ${params.workers} \ + export \ + --table ${traits_list_table} \ + --uri-path ${params.tiledb_uri} \ + --out_lb "out" \ + --maf ${params.tiledb_lb_maf} \ + --type-sumstat ${params.tiledb_lb_typesumstat} \ + --hole ${params.tiledb_lb_hole} \ + --locus-max-size ${params.tiledb_large_locus_size} \ + --locusbreaker \ + --batch-name ${batch_index} + + touch dummy_index + """ +} diff --git a/modules/ingestion/main.nf b/modules/ingestion/main.nf new file mode 100644 index 0000000..f16a056 --- /dev/null +++ b/modules/ingestion/main.nf @@ -0,0 +1,31 @@ +#!/usr/bin/env nextflow + +process LOCUS_BREAKER_TILEDB { + label "process_multi" + // conda '/ssu/gassu/conda_envs/scqtl' + conda '/software/cardinal_analysis/ht/conda_envs/scqtl' + + publishDir "${params.outdir}/results/gwas_and_loci_tables/", mode: params.publish_dir_mode + + +// Define input + input: + tuple path(traits_list_table_ingest) + +// Define output + output: + path("tiledb_uri"), emit:tiledb_storage, optional: true + path("metadata.csv"), emit:metadata + +// Define the shell script to execute + script: + """ + scqtl --workers ${params.workers} --memory_w ${params.memory_w} \ + ingest + --uri-path ${params.tiledb_uri} \ + --file-path ${traits_list_table_ingest} \ + --mapping-file ${mapping_file} \ + --type-sumstat ${params.type_sumstat} \ + --chunk-files ${meta}\ + """ +} diff --git a/modules/locusbreaker/main.nf b/modules/locusbreaker/main.nf new file mode 100644 index 0000000..0bc6c39 --- /dev/null +++ b/modules/locusbreaker/main.nf @@ -0,0 +1,37 @@ +#!/usr/bin/env nextflow + +process LOCUS_BREAKER_TILEDB { + label "process_multi" + // conda '/ssu/gassu/conda_envs/scqtl' + conda '/software/cardinal_analysis/ht/conda_envs/scqtl' + + publishDir "${params.outdir}/results/gwas_and_loci_tables/", mode: params.publish_dir_mode + + +// Define input + input: + tuple val(batch_index), path(traits_list_table) + +// Define output + output: + path("*_interval.csv"), emit:locus_breaker_tdb_intervals, optional: true + tuple path("dummy_index"), path("*_segment.csv"), emit:locus_breaker_tdb_segments, optional: true + +// Define the shell script to execute + script: + """ + scqtl --workers ${params.workers} \ + export \ + --table ${traits_list_table} \ + --uri-path ${params.tiledb_uri} \ + --out_lb "out" \ + --maf ${params.tiledb_lb_maf} \ + --type-sumstat ${params.tiledb_lb_typesumstat} \ + --hole ${params.tiledb_lb_hole} \ + --locus-max-size ${params.tiledb_large_locus_size} \ + --locusbreaker \ + --batch-name ${batch_index} + + touch dummy_index + """ +} diff --git a/modules/regions/main.nf b/modules/regions/main.nf new file mode 100644 index 0000000..0bc6c39 --- /dev/null +++ b/modules/regions/main.nf @@ -0,0 +1,37 @@ +#!/usr/bin/env nextflow + +process LOCUS_BREAKER_TILEDB { + label "process_multi" + // conda '/ssu/gassu/conda_envs/scqtl' + conda '/software/cardinal_analysis/ht/conda_envs/scqtl' + + publishDir "${params.outdir}/results/gwas_and_loci_tables/", mode: params.publish_dir_mode + + +// Define input + input: + tuple val(batch_index), path(traits_list_table) + +// Define output + output: + path("*_interval.csv"), emit:locus_breaker_tdb_intervals, optional: true + tuple path("dummy_index"), path("*_segment.csv"), emit:locus_breaker_tdb_segments, optional: true + +// Define the shell script to execute + script: + """ + scqtl --workers ${params.workers} \ + export \ + --table ${traits_list_table} \ + --uri-path ${params.tiledb_uri} \ + --out_lb "out" \ + --maf ${params.tiledb_lb_maf} \ + --type-sumstat ${params.tiledb_lb_typesumstat} \ + --hole ${params.tiledb_lb_hole} \ + --locus-max-size ${params.tiledb_large_locus_size} \ + --locusbreaker \ + --batch-name ${batch_index} + + touch dummy_index + """ +} diff --git a/nextflow.config b/nextflow.config index e69de29..2799897 100644 --- a/nextflow.config +++ b/nextflow.config @@ -0,0 +1,14 @@ +params { + + outdir='results' + + publish_dir_mode='copy' + + workers = null + tiledb_uri = null + tiledb_lb_maf = null + tiledb_lb_typesumstat = null + tiledb_lb_hole = null + tiledb_large_locus_size = null + +} diff --git a/scqtl/utils/harmonize_ingest.py b/scqtl/utils/harmonize_ingest.py index eda4fe9..e0b9a58 100644 --- a/scqtl/utils/harmonize_ingest.py +++ b/scqtl/utils/harmonize_ingest.py @@ -345,10 +345,6 @@ def ingest_data(self, file_path): def create_metadata(self, file_path: str): """Create and store metadata in TileDB.""" - #tiledb_existing = tiledb.open(self.uri) - #if "metadata" in tiledb_existing.meta: - # metadata = json.loads(tiledb_existing.meta["metadata"]) - #else: metadata = { "file_path": file_path, "celltype":[], @@ -487,7 +483,7 @@ def ingest_metadata(self): if cell not in merged_metadata["celltype"]: merged_metadata["celltype"].append(cell) # Merge chromosome-level info if exists - if cell in record: + if "celltype" in record and len(record["celltype"]) > 0: for chrom, genes in record[cell].items(): cell_chrom_data[cell][chrom] = {} for g in genes: diff --git a/scqtl/utils/test_pvalues.py b/scqtl/utils/test_pvalues.py new file mode 100644 index 0000000..e37d0e3 --- /dev/null +++ b/scqtl/utils/test_pvalues.py @@ -0,0 +1,129 @@ +import tiledb +import pandas as pd +import polars as pl +tdb = tiledb.open("/project/cardinal/QTLs/freeze3/TileDBs/mashr/TileDB_mashr_ukb_celltype2_freeze3_large_chunks") +metadata = pd.read_csv("/group/soranzo/bruno.ariano/ingest_mashr_f3/mashr_metadata_missing.csv") +metadata_prior = pd.read_csv("/group/soranzo/bruno.ariano/ingest_mashr_f3/mashr_metadata_pvalues.csv") + +for record_index, record in df.iterrows(): + chr = record["CHR"] + cell,gene = record["CELL:GENE"].split(':') + df_query = tdb.query(dims=["GENE"], attrs = ["P"]).df_query[chr,cell,gene] + min_p = min(df_query["P"]) + print(chr) + print(cell) + print(min_p) + +import numpy as np + +# Create a new column in metadata to store min P values +metadata_df["MIN_P"] = np.nan + +for record_index, record in metadata_df.iterrows(): + chr = int(record["CHR"]) + cell, gene = record["CELL:GENE"].split(':') + # Query the TileDB array for the given coordinates + df_query = tdb.query(dims=["GENE"], attrs = ["P"]).df[chr,cell,gene,:] + # Take the minimum p-value + min_p = df_query["P"].min() + metadata_df.at[record_index, "MIN_P"] = min_p + print(chr) + print(cell) + print(min_p) +pd.concat[metadata_prior,metadata] + + + + +metadata_df["MIN_P"] = np.nan +metadata_df[["CELL", "GENE"]] = metadata_df["CELL:GENE"].str.split(":", expand=True) + +groups = list(metadata_df.groupby(["CHR", "CELL"])) # materialize groups +total_groups = len(groups) + +for i, ((chr_, cell), group) in enumerate(groups, start=1): + print(f"Processing group {i}/{total_groups} → CHR={chr_}, CELL={cell}", flush=True) + genes = group["GENE"].tolist() + df_query = tdb.query(dims=["GENE"], attrs=["P"]).df[int(chr_), cell, genes, :] + min_p_map = df_query.groupby("GENE")["P"].min().to_dict() + metadata_df.loc[group.index, "MIN_P"] = group["GENE"].map(min_p_map) + + +all_min_chunks = [] + +for chr_ in metadata_df["CHR"].unique(): + print(f"Reading CHR {chr_}...") + df_chr = tdb.query(attrs=["P"], dims=["CHR", "CELL", "GENE"]).df[int(chr_), :, :, :] + df_min_chr = df_chr.groupby(["CHR", "CELL", "GENE"], as_index=False)["P"].min() + all_min_chunks.append(df_min_chr) + +metadata_df[["CELL", "GENE"]] = metadata_df["CELL:GENE"].str.split(":", expand=True) +metadata_df["CHR"] = metadata_df["CHR"].astype(int) + +metadata_df = metadata_df.merge( + df_min, + on=["CHR", "CELL", "GENE"], + how="left", # keep all rows from merged_metadata + suffixes=("", "_min") +) + + + + +metadata_df_complete[["CELL", "GENE"]] = metadata_df_complete["CELL:GENE"].str.split(":", expand=True) + +for col in ["CHR", "CELL", "GENE"]: + metadata_df[col] = metadata_df[col].astype(str) + metadata_df_complete[col] = metadata_df_complete[col].astype(str) + +# Merge only the MIN_P column from df_with_minp +merged = metadata_df_complete.merge( + metadata_df[["CHR", "CELL", "GENE", "MIN_P"]], + on=["CHR", "CELL", "GENE"], + how="left", + suffixes=("", "_new") +) + +# Fill missing MIN_P values with the ones from df_with_minp +merged["MIN_P"] = merged["MIN_P"].fillna(merged["MIN_P_new"]) + +# Drop the temporary column +merged.drop(columns=["MIN_P_new"], inplace=True) + + + +with open("/project/cardinal/QTLs/freeze3/TileDBs/mashr/TileDB_mashr_ukb_celltype2_freeze3_large_chunks_metadata.json", "r") as f: + data = json.load(f) + + + + + +import json + +def parse_multiple_json(s): + objects = [] + decoder = json.JSONDecoder() + while s: + s = s.lstrip() # Skip leading whitespace + if not s: + break + try: + obj, idx = decoder.raw_decode(s) + objects.append(obj) + s = s[idx:] + except json.JSONDecodeError as e: + print(f"Stopped parsing at position {e.pos}: {e}") + print(f"Remaining unparsed data starts with: {s[:200]}...") + break + return objects + +# Usage in your REPL +file_path = "/lustre/scratch124/humgen/projects_v2/cardinal_analysis/analysis/core_dataset/freeze3/tiledbs/Tensor/TileDB_mashr_ukb_celltype2_freeze3_large_chunks_metadata.json" + +with open(file_path, "r") as f: + content = f.read() + +all_objects = parse_multiple_json(content) +print(f"Parsed {len(all_objects)} JSON objects.") +# all_objects[0] is the main metadata, all_objects[1:] are the gene-specific data \ No newline at end of file From 0a8313c0eb79ba1188a102dab9032451bee786ac Mon Sep 17 00:00:00 2001 From: bruno-ariano Date: Tue, 14 Oct 2025 18:44:07 +0200 Subject: [PATCH 22/61] resolve conflicts --- CONTRIBUTING.md | 0 Dockerfile | 0 Makefile | 0 README.md | 6 +- base_environment.yml | 0 conda-linux-64.lock | 0 conda-osx-arm64.lock | 0 docs/README.md | 0 poetry.lock | 0 pyproject.toml | 0 scqtl/__init__.py | 0 scqtl/cli/__init__.py | 0 scqtl/cli/export.py | 81 +++++++-------------- scqtl/cli/ingestion.py | 0 scqtl/main.py | 0 scqtl/test_data/dummy_SNPs.txt | 0 scqtl/test_data/dummy_cell_list.txt | 0 scqtl/test_data/dummy_gene_list.txt | 0 scqtl/test_data/dummy_out.tsv.gz | Bin scqtl/test_data/list_files.txt | 0 scqtl/test_data/test_lb.txt | 0 scqtl/utils/__init__.py | 0 scqtl/utils/create_dummy_data_sc.py | 0 scqtl/utils/create_metadata.py | 0 scqtl/utils/generate_table_cell_sumstat.py | 0 scqtl/utils/harmonize_ingest.py | 0 scqtl/utils/locusbreaker.py | 0 scqtl/utils/locusbreaker_plpl.py | 2 +- scqtl/utils/update_metadata.py | 0 29 files changed, 32 insertions(+), 57 deletions(-) mode change 100644 => 100755 CONTRIBUTING.md mode change 100644 => 100755 Dockerfile mode change 100644 => 100755 Makefile mode change 100644 => 100755 README.md mode change 100644 => 100755 base_environment.yml mode change 100644 => 100755 conda-linux-64.lock mode change 100644 => 100755 conda-osx-arm64.lock mode change 100644 => 100755 docs/README.md mode change 100644 => 100755 poetry.lock mode change 100644 => 100755 pyproject.toml mode change 100644 => 100755 scqtl/__init__.py mode change 100644 => 100755 scqtl/cli/__init__.py mode change 100644 => 100755 scqtl/cli/export.py mode change 100644 => 100755 scqtl/cli/ingestion.py mode change 100644 => 100755 scqtl/main.py mode change 100644 => 100755 scqtl/test_data/dummy_SNPs.txt mode change 100644 => 100755 scqtl/test_data/dummy_cell_list.txt mode change 100644 => 100755 scqtl/test_data/dummy_gene_list.txt mode change 100644 => 100755 scqtl/test_data/dummy_out.tsv.gz mode change 100644 => 100755 scqtl/test_data/list_files.txt mode change 100644 => 100755 scqtl/test_data/test_lb.txt mode change 100644 => 100755 scqtl/utils/__init__.py mode change 100644 => 100755 scqtl/utils/create_dummy_data_sc.py mode change 100644 => 100755 scqtl/utils/create_metadata.py mode change 100644 => 100755 scqtl/utils/generate_table_cell_sumstat.py mode change 100644 => 100755 scqtl/utils/harmonize_ingest.py mode change 100644 => 100755 scqtl/utils/locusbreaker.py mode change 100644 => 100755 scqtl/utils/locusbreaker_plpl.py mode change 100644 => 100755 scqtl/utils/update_metadata.py diff --git a/CONTRIBUTING.md b/CONTRIBUTING.md old mode 100644 new mode 100755 diff --git a/Dockerfile b/Dockerfile old mode 100644 new mode 100755 diff --git a/Makefile b/Makefile old mode 100644 new mode 100755 diff --git a/README.md b/README.md old mode 100644 new mode 100755 index 1e376ab..556c100 --- a/README.md +++ b/README.md @@ -6,8 +6,8 @@ ### Description -Welcome aboard fellow developer, this is a journey we are taking for implementing a custom TileDB for single cell QTL data. -Please have a look [here](https://github.com/HTGenomeAnalysisUnit/TileDB-SC-QTL/blob/main/CONTRIBUTING.md) on how to contribute to this repo. +Welcome to TileDB-sumstat. This is a custom TileDB for singel cell QTL and GWAS data. +Please have a look [here](https://github.com/HTGenomeAnalysisUnit/TileDB-sumstat/blob/main/CONTRIBUTING.md) on how to contribute to this repo. ## Additional link to help you get to know TileDB, Dask and Polars more @@ -17,7 +17,7 @@ Please have a look [here](https://github.com/HTGenomeAnalysisUnit/TileDB-SC-QTL/ --- -#### Note: When you add a new feature or modify an existing one please add it to the README guidelines [HERE](https://github.com/HTGenomeAnalysisUnit/TileDB-SC-QTL/blob/main/docs/README.md) +#### Note: When you add a new feature or modify an existing one please add it to the README guidelines [HERE](https://github.com/HTGenomeAnalysisUnit/TileDB-sumstat/blob/main/docs/README.md) ## Installation diff --git a/base_environment.yml b/base_environment.yml old mode 100644 new mode 100755 diff --git a/conda-linux-64.lock b/conda-linux-64.lock old mode 100644 new mode 100755 diff --git a/conda-osx-arm64.lock b/conda-osx-arm64.lock old mode 100644 new mode 100755 diff --git a/docs/README.md b/docs/README.md old mode 100644 new mode 100755 diff --git a/poetry.lock b/poetry.lock old mode 100644 new mode 100755 diff --git a/pyproject.toml b/pyproject.toml old mode 100644 new mode 100755 diff --git a/scqtl/__init__.py b/scqtl/__init__.py old mode 100644 new mode 100755 diff --git a/scqtl/cli/__init__.py b/scqtl/cli/__init__.py old mode 100644 new mode 100755 diff --git a/scqtl/cli/export.py b/scqtl/cli/export.py old mode 100644 new mode 100755 index 7bbca1d..67f4e68 --- a/scqtl/cli/export.py +++ b/scqtl/cli/export.py @@ -3,7 +3,6 @@ import cloup import pandas as pd from dask import delayed, compute -#from scqtl.utils.process_write_chunk import process_write_chunk from scqtl.utils.locusbreaker_plpl import locusbreaker_plpl import numpy as np import os @@ -23,7 +22,7 @@ cloup.option("--cell", default = None, type=str, help = "Cell to interrogate"), cloup.option("--gene", default = None, type=str, help = "Genes to interrogate"), cloup.option("--table_regions", default = None, type=str, help = "Regions to interrogate from a table"), - cloup.option("--attr", default = "P,SNPID,EAF,BETA,SE,N", type=str, help = "Attributes to output"), + cloup.option("--attr", default = "P,SNPID,EAF,BETA,SE", type=str, help = "Attributes to output"), cloup.option("--snp", default = None, type=str, help = "List of SNPs to interrogate taken from a txt file. Please check README for details on the format of this file") ) @@ -86,15 +85,16 @@ def export( "GENE": gene, **stats }) + df_meta = pl.DataFrame(rows) + df_meta = df_meta.with_columns(pl.col("CHR").cast(pl.UInt16)) else: for trait in metadata["trait"]: rows.append({ "TRAIT": trait, **metadata[trait] }) - + df_meta = pl.DataFrame(rows) - df_meta = pl.DataFrame(rows) client = ctx.obj.get("dask_cluster", None) if client: @@ -121,29 +121,30 @@ def export( #Intersect the tiledb with a list of SNPs if snp: - snp_list = pd.read_table(snp, dtype = {"CHR":str, "POS":np.uint32, "A0":str, "A1":str}) - unique_positions = snp_list['position'].unique().tolist() + snp_list = pd.read_csv(snp, dtype = {"CHR":int, "POS":np.uint32, "TRAIT":str}) + chrom_list = snp_list['CHR'].unique().tolist() + if type_sumstat == "gwas": + header_file = "CHR,TRAIT,POS,SNPID,EAF,BETA,SE,P" + else: + header_file = "CHR,CELL,GENE,POS,SNPID,EAF,BETA,SE,P" + trait_list = snp_list['TRAIT'].unique().tolist() + out_file = out_rg + ".csv" + with open(out_file, "w") as f: + f.write(header_file + "\n") #Open a streaming connection with TileDB - for chrom in chrom_list: - if type_sumstat == "gwas": - chrom_list = snp_list['CHR'].unique().tolist() - with tiledb_export as A: - tiledb_iterator = A.query( - return_incomplete=True, - attrs=attr.split(",") - ).df[chrom, trait ,unique_positions] - else: - chrom_list = snp_list['CHR'].unique().tolist() - with tiledb_export as A: - tiledb_iterator = A.query( - return_incomplete=True, + for trait in trait_list: + for chrom in chrom_list: + snp_list_chr = snp_list[snp_list['CHR']==chrom] + unique_positions = snp_list_chr['POS'].unique().tolist() + if type_sumstat == "gwas": + tiledb_query = tiledb_export.query( + attrs=attr.split(",") + ).df[chrom, trait ,unique_positions] + else: + tiledb_query = tiledb_export.query( attrs=attr.split(",") ).df[chrom, cell , gene, unique_positions] - #Open a streaming connection with output and run the function - with open(out_rg + ".csv", mode="a") as f: - for chunk in tiledb_iterator: - chunk.to_csv(out_rg + ".csv", mode="a", index=False, header = True) - print(f"Saved filtered summary statistics by SNPs in {out_rg}.csv") + tiledb_query.to_csv(out_rg + ".csv", mode="a", index=False, header = False) client.close() elif table_regions: pd_region = pd.read_csv(table_regions) @@ -151,8 +152,7 @@ def export( for ind, row in pd_region.iterrows(): if type_sumstat == "gwas": trait = row["TRAIT"] - region = tiledb_export.query(dims = ["CHR","POS", "TRAIT"], attrs = attr.split(",")).df[int(row["CHR"]),trait,int(row["START"]):int(row["END"])] - + region = tiledb_export.query(dims = ["CHR","POS", "TRAIT"], attrs = attr.split(",")).df[int(row["CHR"]),trait,int(row["START"]):int(row["END"])] else: cell,gene = row["TRAIT"].split(":") region = tiledb_export.query(dims = ["CHR","POS","CELL","GENE"], attrs = attr.split(",")).df[int(row["CHR"]),cell,gene,int(row["START"]):int(row["END"])] @@ -171,7 +171,7 @@ def export( tasks = [] #Defining the Dask functions for delayed @delayed - def query_spec(uri_path, chrom, trait: str = None, cell: str = None, gene: str = None, type_sumstat:str = "scqtl"): + def query_spec(uri_path, chrom:int, trait: str = None, cell: str = None, gene: str = None, type_sumstat:str = "scqtl"): with tiledb.open(uri_path, mode="r") as tiledb_data: if type_sumstat == "gwas": tiledb_filtered = tiledb_data.query(dims=['CHR','TRAIT','POS']).df[chrom, trait, :] @@ -185,8 +185,8 @@ def delayed_locus_breaker(tiledb_data, maf, pvalue_sig, pvalue_limit, locus_max_ return locusbreaker_plpl(tiledb_data, maf = maf, pvalue_sig=pvalue_sig, pvalue_limit=pvalue_limit, locus_max_size = locus_max_size, hole_size=hole_size, category = category, type_sumstat = type_sumstat, metadata = metadata) traits = pd.read_csv(table) + traits = traits.astype({'CHR': 'int16'}) #for chrom, group in traits.groupby("CHR"): - # Process the DataFrame in chunks of 20 rows for index, trait in traits.iterrows(): #chunk = group.iloc[i:i+1] if "SIG" in traits.columns: @@ -196,24 +196,9 @@ def delayed_locus_breaker(tiledb_data, maf, pvalue_sig, pvalue_limit, locus_max_ pvalue_limit = trait["LIM"] if type_sumstat == "gwas": - # If your sumstat type is "gwas", this collects the traits from the chunk. - #trait_list = trait["TRAIT"].tolist() - - # I am assuming that for GWAS, you can pass a list of traits to query_spec. - # I've used the 'trait' parameter for this. - # You might need to adjust this depending on how query_spec is defined. - query = query_spec(uri_path, trait["CHR"], trait=trait["TRAIT"], type_sumstat=type_sumstat) else: - # For other sumstat types, this extracts cell and gene from the "TRAIT" column. - # It assumes the 'cell' is the same for all genes in a chunk. cell,genes = trait["TRAIT"].split(":") - #genes = trait["TRAIT"].split(":")[0] - - # Taking the first cell value, assuming it's constant for the chunk. - #cell = cells[0] - - # Here, I am assuming the 'gene' parameter of query_spec can accept a list of genes. query = query_spec(uri_path, trait["CHR"], cell=cell, gene=genes, type_sumstat=type_sumstat) # The call to delayed_locus_breaker remains the same, but it now processes a batch. @@ -227,16 +212,6 @@ def delayed_locus_breaker(tiledb_data, maf, pvalue_sig, pvalue_limit, locus_max_ type_sumstat=type_sumstat, metadata = df_meta) tasks.append(task) - #The batch size to use which is set to the number of workers if Dask is run - #if client and ctx.obj["workers"]: - #results = compute(*tasks, scheduler='distributed') - # batch_size = 60 - #else: - # batch_size = 60 - #for i in range(0, len(tasks), batch_size): - # if not os.path.exists(f"{out_lb}_batch_{str(i)}_interval.csv"): - # print(f"Batch {i} of {len(tasks)}") - # batch = tasks[i:i+batch_size] batch_results = compute(*tasks,scheduler='distributed') # Compute the batch for result in batch_results: if not len(result) == 0 and not result[0].empty: diff --git a/scqtl/cli/ingestion.py b/scqtl/cli/ingestion.py old mode 100644 new mode 100755 diff --git a/scqtl/main.py b/scqtl/main.py old mode 100644 new mode 100755 diff --git a/scqtl/test_data/dummy_SNPs.txt b/scqtl/test_data/dummy_SNPs.txt old mode 100644 new mode 100755 diff --git a/scqtl/test_data/dummy_cell_list.txt b/scqtl/test_data/dummy_cell_list.txt old mode 100644 new mode 100755 diff --git a/scqtl/test_data/dummy_gene_list.txt b/scqtl/test_data/dummy_gene_list.txt old mode 100644 new mode 100755 diff --git a/scqtl/test_data/dummy_out.tsv.gz b/scqtl/test_data/dummy_out.tsv.gz old mode 100644 new mode 100755 diff --git a/scqtl/test_data/list_files.txt b/scqtl/test_data/list_files.txt old mode 100644 new mode 100755 diff --git a/scqtl/test_data/test_lb.txt b/scqtl/test_data/test_lb.txt old mode 100644 new mode 100755 diff --git a/scqtl/utils/__init__.py b/scqtl/utils/__init__.py old mode 100644 new mode 100755 diff --git a/scqtl/utils/create_dummy_data_sc.py b/scqtl/utils/create_dummy_data_sc.py old mode 100644 new mode 100755 diff --git a/scqtl/utils/create_metadata.py b/scqtl/utils/create_metadata.py old mode 100644 new mode 100755 diff --git a/scqtl/utils/generate_table_cell_sumstat.py b/scqtl/utils/generate_table_cell_sumstat.py old mode 100644 new mode 100755 diff --git a/scqtl/utils/harmonize_ingest.py b/scqtl/utils/harmonize_ingest.py old mode 100644 new mode 100755 diff --git a/scqtl/utils/locusbreaker.py b/scqtl/utils/locusbreaker.py old mode 100644 new mode 100755 diff --git a/scqtl/utils/locusbreaker_plpl.py b/scqtl/utils/locusbreaker_plpl.py old mode 100644 new mode 100755 index a78a3db..63ef79a --- a/scqtl/utils/locusbreaker_plpl.py +++ b/scqtl/utils/locusbreaker_plpl.py @@ -18,7 +18,7 @@ def locusbreaker_plpl( df = df.with_columns( MAF=pl.when(pl.col("EAF") <= 0.5).then(pl.col("EAF")).otherwise(1 - pl.col("EAF")) ).filter(pl.col("MAF") >= maf).drop("MAF") - + print(df) # Filter SNPs for locus definition diff --git a/scqtl/utils/update_metadata.py b/scqtl/utils/update_metadata.py old mode 100644 new mode 100755 From be3bd41ac524707036933d4160b400a2167d875d Mon Sep 17 00:00:00 2001 From: bruno-ariano Date: Tue, 14 Oct 2025 18:50:38 +0200 Subject: [PATCH 23/61] remove config --- nextflow.config | 14 -------------- 1 file changed, 14 deletions(-) delete mode 100644 nextflow.config diff --git a/nextflow.config b/nextflow.config deleted file mode 100644 index 2799897..0000000 --- a/nextflow.config +++ /dev/null @@ -1,14 +0,0 @@ -params { - - outdir='results' - - publish_dir_mode='copy' - - workers = null - tiledb_uri = null - tiledb_lb_maf = null - tiledb_lb_typesumstat = null - tiledb_lb_hole = null - tiledb_large_locus_size = null - -} From e2ee989c71b5d7c5ec40a242919eea663c9508a7 Mon Sep 17 00:00:00 2001 From: bruno-ariano Date: Tue, 14 Oct 2025 18:46:17 +0200 Subject: [PATCH 24/61] resolve conflicts --- nextflow.config | 14 ++++++++++++++ 1 file changed, 14 insertions(+) create mode 100644 nextflow.config diff --git a/nextflow.config b/nextflow.config new file mode 100644 index 0000000..2799897 --- /dev/null +++ b/nextflow.config @@ -0,0 +1,14 @@ +params { + + outdir='results' + + publish_dir_mode='copy' + + workers = null + tiledb_uri = null + tiledb_lb_maf = null + tiledb_lb_typesumstat = null + tiledb_lb_hole = null + tiledb_large_locus_size = null + +} From ff7864f019db1813b9aaca8a320e62b2339004f9 Mon Sep 17 00:00:00 2001 From: bruno-ariano Date: Tue, 14 Oct 2025 18:47:26 +0200 Subject: [PATCH 25/61] remove config --- nextflow.config | 14 -------------- 1 file changed, 14 deletions(-) delete mode 100644 nextflow.config diff --git a/nextflow.config b/nextflow.config deleted file mode 100644 index 2799897..0000000 --- a/nextflow.config +++ /dev/null @@ -1,14 +0,0 @@ -params { - - outdir='results' - - publish_dir_mode='copy' - - workers = null - tiledb_uri = null - tiledb_lb_maf = null - tiledb_lb_typesumstat = null - tiledb_lb_hole = null - tiledb_large_locus_size = null - -} From 4da810bf845fd5cc07df000deb06617d10ea09b1 Mon Sep 17 00:00:00 2001 From: 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example_data/locusbreaker_test_table.csv create mode 100644 example_data/mapping_file_test.csv delete mode 100644 modules/create_metadata/main.nf create mode 100644 modules/create_tiledb/main.nf create mode 100644 modules/merge_metadata/main.nf create mode 100644 nextflow.config diff --git a/.nextflow.log b/.nextflow.log new file mode 100644 index 0000000..43ec0a9 --- /dev/null +++ b/.nextflow.log @@ -0,0 +1,88 @@ +Oct-21 12:02:18.879 [main] DEBUG nextflow.cli.Launcher - $> nextflow run main.nf -profile conda,test_export_lb +Oct-21 12:02:19.050 [main] DEBUG nextflow.cli.CmdRun - N E X T F L O W ~ version 25.04.3 +Oct-21 12:02:19.071 [main] DEBUG nextflow.plugin.PluginsFacade - Setting up plugin manager > mode=prod; embedded=false; plugins-dir=/home/bruno.ariano/.nextflow/plugins; core-plugins: nf-amazon@2.15.0,nf-azure@1.16.0,nf-cloudcache@0.4.3,nf-codecommit@0.2.3,nf-console@1.2.1,nf-google@1.21.0,nf-k8s@1.0.0,nf-tower@1.11.3,nf-wave@1.12.1 +Oct-21 12:02:19.093 [main] INFO o.pf4j.DefaultPluginStatusProvider - Enabled plugins: [] +Oct-21 12:02:19.094 [main] INFO o.pf4j.DefaultPluginStatusProvider - Disabled plugins: [] +Oct-21 12:02:19.097 [main] INFO org.pf4j.DefaultPluginManager - PF4J version 3.12.0 in 'deployment' mode +Oct-21 12:02:19.108 [main] INFO org.pf4j.AbstractPluginManager - No plugins +Oct-21 12:02:19.126 [main] DEBUG nextflow.config.ConfigBuilder - Found config local: /group/soranzo/bruno.ariano/TileDB-sumstat/nextflow.config +Oct-21 12:02:19.128 [main] DEBUG nextflow.config.ConfigBuilder - Parsing config file: /group/soranzo/bruno.ariano/TileDB-sumstat/nextflow.config +Oct-21 12:02:19.167 [main] DEBUG n.secret.LocalSecretsProvider - Secrets store: /home/bruno.ariano/.nextflow/secrets/store.json +Oct-21 12:02:19.170 [main] DEBUG nextflow.secret.SecretsLoader - Discovered secrets providers: [nextflow.secret.LocalSecretsProvider@5c41d037] - activable => nextflow.secret.LocalSecretsProvider@5c41d037 +Oct-21 12:02:19.175 [main] DEBUG nextflow.config.ConfigBuilder - Applying config profile: `conda,test_export_lb` +Oct-21 12:02:19.875 [main] DEBUG nextflow.config.ConfigBuilder - Available config profiles: [shifter, test, mamba, charliecloud, apptainer, conda, test_export_lb, singularity, wave, docker, podman] +Oct-21 12:02:19.904 [main] DEBUG nextflow.cli.CmdRun - Applied DSL=2 by global default +Oct-21 12:02:19.923 [main] DEBUG nextflow.cli.CmdRun - Launching `main.nf` [furious_faggin] DSL2 - revision: 1309f0cb95 +Oct-21 12:02:19.924 [main] DEBUG nextflow.plugin.PluginsFacade - Plugins default=[] +Oct-21 12:02:19.924 [main] DEBUG nextflow.plugin.PluginsFacade - Plugins resolved requirement=[] +Oct-21 12:02:19.968 [main] DEBUG nextflow.Session - Session UUID: f0d3793a-ef4c-46ca-a59c-5d50bee98b54 +Oct-21 12:02:19.969 [main] DEBUG nextflow.Session - Run name: furious_faggin +Oct-21 12:02:19.969 [main] DEBUG nextflow.Session - Executor pool size: 40 +Oct-21 12:02:19.976 [main] DEBUG nextflow.file.FilePorter - File porter settings maxRetries=3; maxTransfers=50; pollTimeout=null +Oct-21 12:02:19.980 [main] DEBUG nextflow.util.ThreadPoolBuilder - Creating thread pool 'FileTransfer' minSize=10; maxSize=120; workQueue=LinkedBlockingQueue[-1]; allowCoreThreadTimeout=false +Oct-21 12:02:20.006 [main] DEBUG nextflow.cli.CmdRun - + Version: 25.04.3 build 5949 + Created: 02-06-2025 20:56 UTC (22:56 CEST) + System: Linux 4.18.0-477.10.1.el8_8.x86_64 + Runtime: Groovy 4.0.26 on OpenJDK 64-Bit Server VM 17.0.8.1+1 + Encoding: UTF-8 (UTF-8) + Process: 1551775@hnode02 [192.168.104.253] + CPUs: 40 - Mem: 375.9 GB (14.5 GB) - Swap: 64 GB (59.2 GB) +Oct-21 12:02:20.036 [main] DEBUG nextflow.Session - Work-dir: /group/soranzo/bruno.ariano/TileDB-sumstat/work [nfs] +Oct-21 12:02:20.037 [main] DEBUG nextflow.Session - Script base path does not exist or is not a directory: /group/soranzo/bruno.ariano/TileDB-sumstat/bin +Oct-21 12:02:20.047 [main] DEBUG nextflow.executor.ExecutorFactory - Extension executors providers=[] +Oct-21 12:02:20.056 [main] DEBUG nextflow.Session - Observer factory: DefaultObserverFactory +Oct-21 12:02:20.085 [main] DEBUG nextflow.Session - Observer factory (v2): LinObserverFactory +Oct-21 12:02:20.109 [main] DEBUG nextflow.cache.CacheFactory - Using Nextflow cache factory: nextflow.cache.DefaultCacheFactory +Oct-21 12:02:20.118 [main] DEBUG nextflow.util.CustomThreadPool - Creating default thread pool > poolSize: 41; maxThreads: 1000 +Oct-21 12:02:20.199 [main] DEBUG nextflow.Session - Session start +Oct-21 12:02:20.202 [main] DEBUG nextflow.trace.TraceFileObserver - Workflow started -- trace file: /group/soranzo/bruno.ariano/TileDB-sumstat/results/pipeline_info/execution_trace_2025-10-21_12-02-19.txt +Oct-21 12:02:20.409 [main] DEBUG nextflow.script.ScriptRunner - > Launching execution +Oct-21 12:02:20.934 [main] DEBUG nextflow.script.ProcessConfig - Config settings `withLabel:process_multi` matches labels `process_multi` for process with name EXPORT_LOCUSBREAKER +Oct-21 12:02:20.947 [main] DEBUG nextflow.executor.ExecutorFactory - << taskConfig executor: null +Oct-21 12:02:20.948 [main] DEBUG nextflow.executor.ExecutorFactory - >> processorType: 'local' +Oct-21 12:02:20.956 [main] DEBUG nextflow.executor.Executor - [warm up] executor > local +Oct-21 12:02:20.966 [main] DEBUG n.processor.LocalPollingMonitor - Creating local task monitor for executor 'local' > cpus=40; memory=375.9 GB; capacity=40; pollInterval=100ms; dumpInterval=5m +Oct-21 12:02:20.969 [main] DEBUG n.processor.TaskPollingMonitor - >>> barrier register (monitor: local) +Oct-21 12:02:20.992 [main] DEBUG nextflow.processor.TaskProcessor - Creating process 'EXPORT_LOCUSBREAKER': maxForks=0; fair=false; array=0 +Oct-21 12:02:21.025 [main] DEBUG nextflow.Session - Workflow process names [dsl2]: EXPORT_LOCUSBREAKER, MERGE_METADATA, EXPORT_REGIONS, INGEST_DATA, CREATE_TILEDB +Oct-21 12:02:21.026 [main] DEBUG nextflow.Session - Igniting dataflow network (2) +Oct-21 12:02:21.032 [main] DEBUG nextflow.processor.TaskProcessor - Starting process > EXPORT_LOCUSBREAKER +Oct-21 12:02:21.033 [main] DEBUG nextflow.script.ScriptRunner - Parsed script files: + Script_7b14281b3e71c830: /group/soranzo/bruno.ariano/TileDB-sumstat/modules/merge_metadata/main.nf + Script_f79ff21670d5e55f: /group/soranzo/bruno.ariano/TileDB-sumstat/modules/regions/main.nf + Script_aef310e1ce2070d7: /group/soranzo/bruno.ariano/TileDB-sumstat/modules/locusbreaker/main.nf + Script_fa94f925e889eb3d: /group/soranzo/bruno.ariano/TileDB-sumstat/modules/create_tiledb/main.nf + Script_9642d9956a1c233a: /group/soranzo/bruno.ariano/TileDB-sumstat/modules/ingestion/main.nf + Script_d23e1daa06b1131d: /group/soranzo/bruno.ariano/TileDB-sumstat/main.nf +Oct-21 12:02:21.033 [main] DEBUG nextflow.script.ScriptRunner - > Awaiting termination +Oct-21 12:02:21.033 [main] DEBUG nextflow.Session - Session await +Oct-21 12:02:21.044 [Actor Thread 6] DEBUG n.splitter.AbstractTextSplitter - Splitter `Text` collector path: nextflow.splitter.TextFileCollector$CachePath(/group/soranzo/bruno.ariano/TileDB-sumstat/work/86/0960349c40eb387dea4a66c6232d9d/locusbreaker_test_table.csv, null) +Oct-21 12:02:21.175 [Actor Thread 21] DEBUG nextflow.conda.CondaCache - conda found local env for environment=/ssu/gassu/conda_envs/scqtl; path=/ssu/gassu/conda_envs/scqtl +Oct-21 12:02:21.257 [Task submitter] DEBUG n.executor.local.LocalTaskHandler - Launch cmd line: /bin/bash -ue .command.run +Oct-21 12:02:21.259 [Task submitter] INFO nextflow.Session - [5a/13fd57] Submitted process > EXPORT_LOCUSBREAKER (3) +Oct-21 12:02:21.277 [Task submitter] DEBUG n.executor.local.LocalTaskHandler - Launch cmd line: /bin/bash -ue .command.run +Oct-21 12:02:21.278 [Task submitter] INFO nextflow.Session - [7c/60afd2] Submitted process > EXPORT_LOCUSBREAKER (2) +Oct-21 12:02:21.294 [Task submitter] DEBUG n.executor.local.LocalTaskHandler - Launch cmd line: /bin/bash -ue .command.run +Oct-21 12:02:21.294 [Task submitter] INFO nextflow.Session - [01/981e08] Submitted process > EXPORT_LOCUSBREAKER (1) +Oct-21 12:02:42.991 [Task monitor] DEBUG n.processor.TaskPollingMonitor - Task completed > TaskHandler[id: 1; name: EXPORT_LOCUSBREAKER (1); status: COMPLETED; exit: 0; error: -; workDir: /group/soranzo/bruno.ariano/TileDB-sumstat/work/01/981e087bad5677317433d4f7c6c592] +Oct-21 12:02:42.992 [Task monitor] DEBUG nextflow.util.ThreadPoolBuilder - Creating thread pool 'TaskFinalizer' minSize=10; maxSize=120; workQueue=LinkedBlockingQueue[-1]; allowCoreThreadTimeout=false +Oct-21 12:02:43.066 [TaskFinalizer-1] DEBUG nextflow.processor.TaskProcessor - Process EXPORT_LOCUSBREAKER > Skipping output binding because one or more optional files are missing: fileoutparam<0> +Oct-21 12:02:43.066 [TaskFinalizer-1] DEBUG nextflow.processor.TaskProcessor - Process EXPORT_LOCUSBREAKER > Skipping output binding because one or more optional files are missing: fileoutparam<1> +Oct-21 12:02:43.473 [Task monitor] DEBUG n.processor.TaskPollingMonitor - Task completed > TaskHandler[id: 3; name: EXPORT_LOCUSBREAKER (3); status: COMPLETED; exit: 0; error: -; workDir: /group/soranzo/bruno.ariano/TileDB-sumstat/work/5a/13fd5798c7574a48be77e3c3f156b1] +Oct-21 12:02:43.480 [TaskFinalizer-2] DEBUG nextflow.processor.TaskProcessor - Process EXPORT_LOCUSBREAKER > Skipping output binding because one or more optional files are missing: fileoutparam<0> +Oct-21 12:02:43.480 [TaskFinalizer-2] DEBUG nextflow.processor.TaskProcessor - Process EXPORT_LOCUSBREAKER > Skipping output binding because one or more optional files are missing: fileoutparam<1> +Oct-21 12:02:43.731 [Task monitor] DEBUG n.processor.TaskPollingMonitor - Task completed > TaskHandler[id: 2; name: EXPORT_LOCUSBREAKER (2); status: COMPLETED; exit: 0; error: -; workDir: /group/soranzo/bruno.ariano/TileDB-sumstat/work/7c/60afd2578f69efa734d6ba049f7fc4] +Oct-21 12:02:43.736 [TaskFinalizer-3] DEBUG nextflow.processor.TaskProcessor - Process EXPORT_LOCUSBREAKER > Skipping output binding because one or more optional files are missing: fileoutparam<0> +Oct-21 12:02:43.736 [TaskFinalizer-3] DEBUG nextflow.processor.TaskProcessor - Process EXPORT_LOCUSBREAKER > Skipping output binding because one or more optional files are missing: fileoutparam<1> +Oct-21 12:02:43.741 [main] DEBUG nextflow.Session - Session await > all processes finished +Oct-21 12:02:43.831 [Task monitor] DEBUG n.processor.TaskPollingMonitor - <<< barrier arrives (monitor: local) - terminating tasks monitor poll loop +Oct-21 12:02:43.831 [main] DEBUG nextflow.Session - Session await > all barriers passed +Oct-21 12:02:43.834 [main] DEBUG nextflow.util.ThreadPoolManager - Thread pool 'TaskFinalizer' shutdown completed (hard=false) +Oct-21 12:02:43.839 [main] DEBUG n.trace.WorkflowStatsObserver - Workflow completed > WorkflowStats[succeededCount=3; failedCount=0; ignoredCount=0; cachedCount=0; pendingCount=0; submittedCount=0; runningCount=0; retriesCount=0; abortedCount=0; succeedDuration=3m 55s; failedDuration=0ms; cachedDuration=0ms;loadCpus=0; loadMemory=0; peakRunning=3; peakCpus=18; peakMemory=90 GB; ] +Oct-21 12:02:43.839 [main] DEBUG nextflow.trace.TraceFileObserver - Workflow completed -- saving trace file +Oct-21 12:02:43.841 [main] DEBUG nextflow.trace.ReportObserver - Workflow completed -- rendering execution report +Oct-21 12:02:44.308 [main] DEBUG nextflow.trace.TimelineObserver - Workflow completed -- rendering execution timeline +Oct-21 12:02:44.494 [main] DEBUG nextflow.cache.CacheDB - Closing CacheDB done +Oct-21 12:02:44.523 [main] DEBUG nextflow.util.ThreadPoolManager - Thread pool 'FileTransfer' shutdown completed (hard=false) +Oct-21 12:02:44.523 [main] DEBUG nextflow.script.ScriptRunner - > Execution complete -- Goodbye diff --git a/.nextflow.log.1 b/.nextflow.log.1 new file mode 100644 index 0000000..ef6216c --- /dev/null +++ b/.nextflow.log.1 @@ -0,0 +1,88 @@ +Oct-21 12:00:51.202 [main] DEBUG nextflow.cli.Launcher - $> nextflow run main.nf -profile conda,test_export_lb +Oct-21 12:00:51.365 [main] DEBUG nextflow.cli.CmdRun - N E X T F L O W ~ version 25.04.3 +Oct-21 12:00:51.385 [main] DEBUG nextflow.plugin.PluginsFacade - Setting up plugin manager > mode=prod; embedded=false; plugins-dir=/home/bruno.ariano/.nextflow/plugins; core-plugins: nf-amazon@2.15.0,nf-azure@1.16.0,nf-cloudcache@0.4.3,nf-codecommit@0.2.3,nf-console@1.2.1,nf-google@1.21.0,nf-k8s@1.0.0,nf-tower@1.11.3,nf-wave@1.12.1 +Oct-21 12:00:51.407 [main] INFO o.pf4j.DefaultPluginStatusProvider - Enabled plugins: [] +Oct-21 12:00:51.408 [main] INFO o.pf4j.DefaultPluginStatusProvider - Disabled plugins: [] +Oct-21 12:00:51.412 [main] INFO org.pf4j.DefaultPluginManager - PF4J version 3.12.0 in 'deployment' mode +Oct-21 12:00:51.433 [main] INFO org.pf4j.AbstractPluginManager - No plugins +Oct-21 12:00:51.454 [main] DEBUG nextflow.config.ConfigBuilder - Found config local: /group/soranzo/bruno.ariano/TileDB-sumstat/nextflow.config +Oct-21 12:00:51.456 [main] DEBUG nextflow.config.ConfigBuilder - Parsing config file: /group/soranzo/bruno.ariano/TileDB-sumstat/nextflow.config +Oct-21 12:00:51.482 [main] DEBUG n.secret.LocalSecretsProvider - Secrets store: /home/bruno.ariano/.nextflow/secrets/store.json +Oct-21 12:00:51.485 [main] DEBUG nextflow.secret.SecretsLoader - Discovered secrets providers: [nextflow.secret.LocalSecretsProvider@5c41d037] - activable => nextflow.secret.LocalSecretsProvider@5c41d037 +Oct-21 12:00:51.490 [main] DEBUG nextflow.config.ConfigBuilder - Applying config profile: `conda,test_export_lb` +Oct-21 12:00:52.178 [main] DEBUG nextflow.config.ConfigBuilder - Available config profiles: [shifter, test, mamba, charliecloud, apptainer, conda, test_export_lb, singularity, wave, docker, podman] +Oct-21 12:00:52.208 [main] DEBUG nextflow.cli.CmdRun - Applied DSL=2 by global default +Oct-21 12:00:52.226 [main] DEBUG nextflow.cli.CmdRun - Launching `main.nf` [goofy_gauss] DSL2 - revision: 1309f0cb95 +Oct-21 12:00:52.228 [main] DEBUG nextflow.plugin.PluginsFacade - Plugins default=[] +Oct-21 12:00:52.228 [main] DEBUG nextflow.plugin.PluginsFacade - Plugins resolved requirement=[] +Oct-21 12:00:52.271 [main] DEBUG nextflow.Session - Session UUID: 951ecab3-e97d-4a18-8e94-e96f08be5a7b +Oct-21 12:00:52.271 [main] DEBUG nextflow.Session - Run name: goofy_gauss +Oct-21 12:00:52.272 [main] DEBUG nextflow.Session - Executor pool size: 40 +Oct-21 12:00:52.278 [main] DEBUG nextflow.file.FilePorter - File porter settings maxRetries=3; maxTransfers=50; pollTimeout=null +Oct-21 12:00:52.283 [main] DEBUG nextflow.util.ThreadPoolBuilder - Creating thread pool 'FileTransfer' minSize=10; maxSize=120; workQueue=LinkedBlockingQueue[-1]; allowCoreThreadTimeout=false +Oct-21 12:00:52.307 [main] DEBUG nextflow.cli.CmdRun - + Version: 25.04.3 build 5949 + Created: 02-06-2025 20:56 UTC (22:56 CEST) + System: Linux 4.18.0-477.10.1.el8_8.x86_64 + Runtime: Groovy 4.0.26 on OpenJDK 64-Bit Server VM 17.0.8.1+1 + Encoding: UTF-8 (UTF-8) + Process: 1534261@hnode02 [192.168.104.253] + CPUs: 40 - Mem: 375.9 GB (13.8 GB) - Swap: 64 GB (59.2 GB) +Oct-21 12:00:52.346 [main] DEBUG nextflow.Session - Work-dir: /group/soranzo/bruno.ariano/TileDB-sumstat/work [nfs] +Oct-21 12:00:52.347 [main] DEBUG nextflow.Session - Script base path does not exist or is not a directory: /group/soranzo/bruno.ariano/TileDB-sumstat/bin +Oct-21 12:00:52.355 [main] DEBUG nextflow.executor.ExecutorFactory - Extension executors providers=[] +Oct-21 12:00:52.363 [main] DEBUG nextflow.Session - Observer factory: DefaultObserverFactory +Oct-21 12:00:52.389 [main] DEBUG nextflow.Session - Observer factory (v2): LinObserverFactory +Oct-21 12:00:52.410 [main] DEBUG nextflow.cache.CacheFactory - Using Nextflow cache factory: nextflow.cache.DefaultCacheFactory +Oct-21 12:00:52.418 [main] DEBUG nextflow.util.CustomThreadPool - Creating default thread pool > poolSize: 41; maxThreads: 1000 +Oct-21 12:00:52.512 [main] DEBUG nextflow.Session - Session start +Oct-21 12:00:52.515 [main] DEBUG nextflow.trace.TraceFileObserver - Workflow started -- trace file: /group/soranzo/bruno.ariano/TileDB-sumstat/results/pipeline_info/execution_trace_2025-10-21_12-00-52.txt +Oct-21 12:00:52.689 [main] DEBUG nextflow.script.ScriptRunner - > Launching execution +Oct-21 12:00:53.111 [main] DEBUG nextflow.script.ProcessConfig - Config settings `withLabel:process_multi` matches labels `process_multi` for process with name EXPORT_LOCUSBREAKER +Oct-21 12:00:53.119 [main] DEBUG nextflow.executor.ExecutorFactory - << taskConfig executor: null +Oct-21 12:00:53.119 [main] DEBUG nextflow.executor.ExecutorFactory - >> processorType: 'local' +Oct-21 12:00:53.125 [main] DEBUG nextflow.executor.Executor - [warm up] executor > local +Oct-21 12:00:53.130 [main] DEBUG n.processor.LocalPollingMonitor - Creating local task monitor for executor 'local' > cpus=40; memory=375.9 GB; capacity=40; pollInterval=100ms; dumpInterval=5m +Oct-21 12:00:53.132 [main] DEBUG n.processor.TaskPollingMonitor - >>> barrier register (monitor: local) +Oct-21 12:00:53.152 [main] DEBUG nextflow.processor.TaskProcessor - Creating process 'EXPORT_LOCUSBREAKER': maxForks=0; fair=false; array=0 +Oct-21 12:00:53.181 [main] DEBUG nextflow.Session - Workflow process names [dsl2]: EXPORT_LOCUSBREAKER, MERGE_METADATA, EXPORT_REGIONS, INGEST_DATA, CREATE_TILEDB +Oct-21 12:00:53.183 [main] DEBUG nextflow.Session - Igniting dataflow network (2) +Oct-21 12:00:53.187 [main] DEBUG nextflow.processor.TaskProcessor - Starting process > EXPORT_LOCUSBREAKER +Oct-21 12:00:53.188 [main] DEBUG nextflow.script.ScriptRunner - Parsed script files: + Script_7b14281b3e71c830: /group/soranzo/bruno.ariano/TileDB-sumstat/modules/merge_metadata/main.nf + Script_f79ff21670d5e55f: /group/soranzo/bruno.ariano/TileDB-sumstat/modules/regions/main.nf + Script_aef310e1ce2070d7: /group/soranzo/bruno.ariano/TileDB-sumstat/modules/locusbreaker/main.nf + Script_fa94f925e889eb3d: /group/soranzo/bruno.ariano/TileDB-sumstat/modules/create_tiledb/main.nf + Script_9642d9956a1c233a: /group/soranzo/bruno.ariano/TileDB-sumstat/modules/ingestion/main.nf + Script_d23e1daa06b1131d: /group/soranzo/bruno.ariano/TileDB-sumstat/main.nf +Oct-21 12:00:53.188 [main] DEBUG nextflow.script.ScriptRunner - > Awaiting termination +Oct-21 12:00:53.188 [main] DEBUG nextflow.Session - Session await +Oct-21 12:00:53.235 [Actor Thread 6] DEBUG n.splitter.AbstractTextSplitter - Splitter `Text` collector path: nextflow.splitter.TextFileCollector$CachePath(/group/soranzo/bruno.ariano/TileDB-sumstat/work/c4/1125fa4473030d4463b96a0cfb365a/locusbreaker_test_table.csv, null) +Oct-21 12:00:53.368 [Actor Thread 21] DEBUG nextflow.conda.CondaCache - conda found local env for environment=/ssu/gassu/conda_envs/scqtl; path=/ssu/gassu/conda_envs/scqtl +Oct-21 12:00:53.487 [Task submitter] DEBUG n.executor.local.LocalTaskHandler - Launch cmd line: /bin/bash -ue .command.run +Oct-21 12:00:53.490 [Task submitter] INFO nextflow.Session - [e3/5858ea] Submitted process > EXPORT_LOCUSBREAKER (3) +Oct-21 12:00:53.509 [Task submitter] DEBUG n.executor.local.LocalTaskHandler - Launch cmd line: /bin/bash -ue .command.run +Oct-21 12:00:53.509 [Task submitter] INFO nextflow.Session - [46/f2b72c] Submitted process > EXPORT_LOCUSBREAKER (1) +Oct-21 12:00:53.523 [Task submitter] DEBUG n.executor.local.LocalTaskHandler - Launch cmd line: /bin/bash -ue .command.run +Oct-21 12:00:53.524 [Task submitter] INFO nextflow.Session - [86/6be0a7] Submitted process > EXPORT_LOCUSBREAKER (2) +Oct-21 12:01:16.019 [Task monitor] DEBUG n.processor.TaskPollingMonitor - Task completed > TaskHandler[id: 1; name: EXPORT_LOCUSBREAKER (1); status: COMPLETED; exit: 0; error: -; workDir: /group/soranzo/bruno.ariano/TileDB-sumstat/work/46/f2b72cd07364a1d57e8b5d656c80fb] +Oct-21 12:01:16.020 [Task monitor] DEBUG nextflow.util.ThreadPoolBuilder - Creating thread pool 'TaskFinalizer' minSize=10; maxSize=120; workQueue=LinkedBlockingQueue[-1]; allowCoreThreadTimeout=false +Oct-21 12:01:16.104 [TaskFinalizer-1] DEBUG nextflow.processor.TaskProcessor - Process EXPORT_LOCUSBREAKER > Skipping output binding because one or more optional files are missing: fileoutparam<0> +Oct-21 12:01:16.105 [TaskFinalizer-1] DEBUG nextflow.processor.TaskProcessor - Process EXPORT_LOCUSBREAKER > Skipping output binding because one or more optional files are missing: fileoutparam<1> +Oct-21 12:01:16.383 [Task monitor] DEBUG n.processor.TaskPollingMonitor - Task completed > TaskHandler[id: 2; name: EXPORT_LOCUSBREAKER (2); status: COMPLETED; exit: 0; error: -; workDir: /group/soranzo/bruno.ariano/TileDB-sumstat/work/86/6be0a7062a6a1670bac4caf032795f] +Oct-21 12:01:16.391 [TaskFinalizer-2] DEBUG nextflow.processor.TaskProcessor - Process EXPORT_LOCUSBREAKER > Skipping output binding because one or more optional files are missing: fileoutparam<0> +Oct-21 12:01:16.391 [TaskFinalizer-2] DEBUG nextflow.processor.TaskProcessor - Process EXPORT_LOCUSBREAKER > Skipping output binding because one or more optional files are missing: fileoutparam<1> +Oct-21 12:01:16.641 [Task monitor] DEBUG n.processor.TaskPollingMonitor - Task completed > TaskHandler[id: 3; name: EXPORT_LOCUSBREAKER (3); status: COMPLETED; exit: 0; error: -; workDir: /group/soranzo/bruno.ariano/TileDB-sumstat/work/e3/5858eaf6e5cc0bccc802adfb61b47b] +Oct-21 12:01:16.646 [TaskFinalizer-3] DEBUG nextflow.processor.TaskProcessor - Process EXPORT_LOCUSBREAKER > Skipping output binding because one or more optional files are missing: fileoutparam<0> +Oct-21 12:01:16.646 [TaskFinalizer-3] DEBUG nextflow.processor.TaskProcessor - Process EXPORT_LOCUSBREAKER > Skipping output binding because one or more optional files are missing: fileoutparam<1> +Oct-21 12:01:16.652 [main] DEBUG nextflow.Session - Session await > all processes finished +Oct-21 12:01:16.742 [Task monitor] DEBUG n.processor.TaskPollingMonitor - <<< barrier arrives (monitor: local) - terminating tasks monitor poll loop +Oct-21 12:01:16.742 [main] DEBUG nextflow.Session - Session await > all barriers passed +Oct-21 12:01:16.745 [main] DEBUG nextflow.util.ThreadPoolManager - Thread pool 'TaskFinalizer' shutdown completed (hard=false) +Oct-21 12:01:16.750 [main] DEBUG n.trace.WorkflowStatsObserver - Workflow completed > WorkflowStats[succeededCount=3; failedCount=0; ignoredCount=0; cachedCount=0; pendingCount=0; submittedCount=0; runningCount=0; retriesCount=0; abortedCount=0; succeedDuration=4m 4s; failedDuration=0ms; cachedDuration=0ms;loadCpus=0; loadMemory=0; peakRunning=3; peakCpus=18; peakMemory=90 GB; ] +Oct-21 12:01:16.750 [main] DEBUG nextflow.trace.TraceFileObserver - Workflow completed -- saving trace file +Oct-21 12:01:16.753 [main] DEBUG nextflow.trace.ReportObserver - Workflow completed -- rendering execution report +Oct-21 12:01:17.269 [main] DEBUG nextflow.trace.TimelineObserver - Workflow completed -- rendering execution timeline +Oct-21 12:01:17.395 [main] DEBUG nextflow.cache.CacheDB - Closing CacheDB done +Oct-21 12:01:17.427 [main] DEBUG nextflow.util.ThreadPoolManager - Thread pool 'FileTransfer' shutdown completed (hard=false) +Oct-21 12:01:17.428 [main] DEBUG nextflow.script.ScriptRunner - > Execution complete -- Goodbye diff --git a/.nextflow.log.2 b/.nextflow.log.2 new file mode 100644 index 0000000..23301ed --- /dev/null +++ b/.nextflow.log.2 @@ -0,0 +1,88 @@ +Oct-21 11:57:00.845 [main] DEBUG nextflow.cli.Launcher - $> nextflow run main.nf -profile conda,test_export_lb +Oct-21 11:57:00.998 [main] DEBUG nextflow.cli.CmdRun - N E X T F L O W ~ version 25.04.3 +Oct-21 11:57:01.020 [main] DEBUG nextflow.plugin.PluginsFacade - Setting up plugin manager > mode=prod; embedded=false; plugins-dir=/home/bruno.ariano/.nextflow/plugins; core-plugins: nf-amazon@2.15.0,nf-azure@1.16.0,nf-cloudcache@0.4.3,nf-codecommit@0.2.3,nf-console@1.2.1,nf-google@1.21.0,nf-k8s@1.0.0,nf-tower@1.11.3,nf-wave@1.12.1 +Oct-21 11:57:01.057 [main] INFO o.pf4j.DefaultPluginStatusProvider - Enabled plugins: [] +Oct-21 11:57:01.058 [main] INFO o.pf4j.DefaultPluginStatusProvider - Disabled plugins: [] +Oct-21 11:57:01.061 [main] INFO org.pf4j.DefaultPluginManager - PF4J version 3.12.0 in 'deployment' mode +Oct-21 11:57:01.074 [main] INFO org.pf4j.AbstractPluginManager - No plugins +Oct-21 11:57:01.095 [main] DEBUG nextflow.config.ConfigBuilder - Found config local: /group/soranzo/bruno.ariano/TileDB-sumstat/nextflow.config +Oct-21 11:57:01.098 [main] DEBUG nextflow.config.ConfigBuilder - Parsing config file: /group/soranzo/bruno.ariano/TileDB-sumstat/nextflow.config +Oct-21 11:57:01.129 [main] DEBUG n.secret.LocalSecretsProvider - Secrets store: /home/bruno.ariano/.nextflow/secrets/store.json +Oct-21 11:57:01.132 [main] DEBUG nextflow.secret.SecretsLoader - Discovered secrets providers: [nextflow.secret.LocalSecretsProvider@5c41d037] - activable => nextflow.secret.LocalSecretsProvider@5c41d037 +Oct-21 11:57:01.138 [main] DEBUG nextflow.config.ConfigBuilder - Applying config profile: `conda,test_export_lb` +Oct-21 11:57:01.901 [main] DEBUG nextflow.config.ConfigBuilder - Available config profiles: [shifter, test, mamba, charliecloud, apptainer, conda, test_export_lb, singularity, wave, docker, podman] +Oct-21 11:57:01.934 [main] DEBUG nextflow.cli.CmdRun - Applied DSL=2 by global default +Oct-21 11:57:01.948 [main] DEBUG nextflow.cli.CmdRun - Launching `main.nf` [distraught_rubens] DSL2 - revision: 1309f0cb95 +Oct-21 11:57:01.950 [main] DEBUG nextflow.plugin.PluginsFacade - Plugins default=[] +Oct-21 11:57:01.950 [main] DEBUG nextflow.plugin.PluginsFacade - Plugins resolved requirement=[] +Oct-21 11:57:01.993 [main] DEBUG nextflow.Session - Session UUID: 60236dfd-d34f-4cf5-9fa5-c3e1b4908b7a +Oct-21 11:57:01.993 [main] DEBUG nextflow.Session - Run name: distraught_rubens +Oct-21 11:57:01.994 [main] DEBUG nextflow.Session - Executor pool size: 40 +Oct-21 11:57:02.001 [main] DEBUG nextflow.file.FilePorter - File porter settings maxRetries=3; maxTransfers=50; pollTimeout=null +Oct-21 11:57:02.005 [main] DEBUG nextflow.util.ThreadPoolBuilder - Creating thread pool 'FileTransfer' minSize=10; maxSize=120; workQueue=LinkedBlockingQueue[-1]; allowCoreThreadTimeout=false +Oct-21 11:57:02.031 [main] DEBUG nextflow.cli.CmdRun - + Version: 25.04.3 build 5949 + Created: 02-06-2025 20:56 UTC (22:56 CEST) + System: Linux 4.18.0-477.10.1.el8_8.x86_64 + Runtime: Groovy 4.0.26 on OpenJDK 64-Bit Server VM 17.0.8.1+1 + Encoding: UTF-8 (UTF-8) + Process: 1519318@hnode02 [192.168.104.253] + CPUs: 40 - Mem: 375.9 GB (12.5 GB) - Swap: 64 GB (59.2 GB) +Oct-21 11:57:02.061 [main] DEBUG nextflow.Session - Work-dir: /group/soranzo/bruno.ariano/TileDB-sumstat/work [nfs] +Oct-21 11:57:02.062 [main] DEBUG nextflow.Session - Script base path does not exist or is not a directory: /group/soranzo/bruno.ariano/TileDB-sumstat/bin +Oct-21 11:57:02.072 [main] DEBUG nextflow.executor.ExecutorFactory - Extension executors providers=[] +Oct-21 11:57:02.081 [main] DEBUG nextflow.Session - Observer factory: DefaultObserverFactory +Oct-21 11:57:02.111 [main] DEBUG nextflow.Session - Observer factory (v2): LinObserverFactory +Oct-21 11:57:02.134 [main] DEBUG nextflow.cache.CacheFactory - Using Nextflow cache factory: nextflow.cache.DefaultCacheFactory +Oct-21 11:57:02.143 [main] DEBUG nextflow.util.CustomThreadPool - Creating default thread pool > poolSize: 41; maxThreads: 1000 +Oct-21 11:57:02.229 [main] DEBUG nextflow.Session - Session start +Oct-21 11:57:02.233 [main] DEBUG nextflow.trace.TraceFileObserver - Workflow started -- trace file: /group/soranzo/bruno.ariano/TileDB-sumstat/results/pipeline_info/execution_trace_2025-10-21_11-57-01.txt +Oct-21 11:57:02.415 [main] DEBUG nextflow.script.ScriptRunner - > Launching execution +Oct-21 11:57:02.847 [main] DEBUG nextflow.script.ProcessConfig - Config settings `withLabel:process_multi` matches labels `process_multi` for process with name EXPORT_LOCUSBREAKER +Oct-21 11:57:02.856 [main] DEBUG nextflow.executor.ExecutorFactory - << taskConfig executor: null +Oct-21 11:57:02.856 [main] DEBUG nextflow.executor.ExecutorFactory - >> processorType: 'local' +Oct-21 11:57:02.863 [main] DEBUG nextflow.executor.Executor - [warm up] executor > local +Oct-21 11:57:02.869 [main] DEBUG n.processor.LocalPollingMonitor - Creating local task monitor for executor 'local' > cpus=40; memory=375.9 GB; capacity=40; pollInterval=100ms; dumpInterval=5m +Oct-21 11:57:02.871 [main] DEBUG n.processor.TaskPollingMonitor - >>> barrier register (monitor: local) +Oct-21 11:57:02.891 [main] DEBUG nextflow.processor.TaskProcessor - Creating process 'EXPORT_LOCUSBREAKER': maxForks=0; fair=false; array=0 +Oct-21 11:57:02.921 [main] DEBUG nextflow.Session - Workflow process names [dsl2]: EXPORT_LOCUSBREAKER, MERGE_METADATA, EXPORT_REGIONS, INGEST_DATA, CREATE_TILEDB +Oct-21 11:57:02.923 [main] DEBUG nextflow.Session - Igniting dataflow network (2) +Oct-21 11:57:02.928 [main] DEBUG nextflow.processor.TaskProcessor - Starting process > EXPORT_LOCUSBREAKER +Oct-21 11:57:02.929 [main] DEBUG nextflow.script.ScriptRunner - Parsed script files: + Script_7b14281b3e71c830: /group/soranzo/bruno.ariano/TileDB-sumstat/modules/merge_metadata/main.nf + Script_f79ff21670d5e55f: /group/soranzo/bruno.ariano/TileDB-sumstat/modules/regions/main.nf + Script_25f7cc05cc930eea: /group/soranzo/bruno.ariano/TileDB-sumstat/modules/locusbreaker/main.nf + Script_fa94f925e889eb3d: /group/soranzo/bruno.ariano/TileDB-sumstat/modules/create_tiledb/main.nf + Script_9642d9956a1c233a: /group/soranzo/bruno.ariano/TileDB-sumstat/modules/ingestion/main.nf + Script_d23e1daa06b1131d: /group/soranzo/bruno.ariano/TileDB-sumstat/main.nf +Oct-21 11:57:02.929 [main] DEBUG nextflow.script.ScriptRunner - > Awaiting termination +Oct-21 11:57:02.929 [main] DEBUG nextflow.Session - Session await +Oct-21 11:57:02.943 [Actor Thread 6] DEBUG n.splitter.AbstractTextSplitter - Splitter `Text` collector path: nextflow.splitter.TextFileCollector$CachePath(/group/soranzo/bruno.ariano/TileDB-sumstat/work/9c/0e036d55b11512bfaebb93386a9129/locusbreaker_test_table.csv, null) +Oct-21 11:57:03.081 [Actor Thread 23] DEBUG nextflow.conda.CondaCache - conda found local env for environment=/ssu/gassu/conda_envs/scqtl; path=/ssu/gassu/conda_envs/scqtl +Oct-21 11:57:03.168 [Task submitter] DEBUG n.executor.local.LocalTaskHandler - Launch cmd line: /bin/bash -ue .command.run +Oct-21 11:57:03.170 [Task submitter] INFO nextflow.Session - [5d/7b02c3] Submitted process > EXPORT_LOCUSBREAKER (3) +Oct-21 11:57:03.189 [Task submitter] DEBUG n.executor.local.LocalTaskHandler - Launch cmd line: /bin/bash -ue .command.run +Oct-21 11:57:03.190 [Task submitter] INFO nextflow.Session - [39/7f63e1] Submitted process > EXPORT_LOCUSBREAKER (2) +Oct-21 11:57:03.206 [Task submitter] DEBUG n.executor.local.LocalTaskHandler - Launch cmd line: /bin/bash -ue .command.run +Oct-21 11:57:03.206 [Task submitter] INFO nextflow.Session - [79/d00e23] Submitted process > EXPORT_LOCUSBREAKER (1) +Oct-21 11:57:25.811 [Task monitor] DEBUG n.processor.TaskPollingMonitor - Task completed > TaskHandler[id: 3; name: EXPORT_LOCUSBREAKER (3); status: COMPLETED; exit: 0; error: -; workDir: /group/soranzo/bruno.ariano/TileDB-sumstat/work/5d/7b02c3e85dab20b1d3d6e9361b185a] +Oct-21 11:57:25.812 [Task monitor] DEBUG nextflow.util.ThreadPoolBuilder - Creating thread pool 'TaskFinalizer' minSize=10; maxSize=120; workQueue=LinkedBlockingQueue[-1]; allowCoreThreadTimeout=false +Oct-21 11:57:25.933 [TaskFinalizer-1] DEBUG nextflow.processor.TaskProcessor - Process EXPORT_LOCUSBREAKER > Skipping output binding because one or more optional files are missing: fileoutparam<0> +Oct-21 11:57:25.933 [TaskFinalizer-1] DEBUG nextflow.processor.TaskProcessor - Process EXPORT_LOCUSBREAKER > Skipping output binding because one or more optional files are missing: fileoutparam<1> +Oct-21 11:57:25.991 [Task monitor] DEBUG n.processor.TaskPollingMonitor - Task completed > TaskHandler[id: 1; name: EXPORT_LOCUSBREAKER (1); status: COMPLETED; exit: 0; error: -; workDir: /group/soranzo/bruno.ariano/TileDB-sumstat/work/79/d00e2390ef9ac0e189531a5a08b896] +Oct-21 11:57:25.998 [TaskFinalizer-2] DEBUG nextflow.processor.TaskProcessor - Process EXPORT_LOCUSBREAKER > Skipping output binding because one or more optional files are missing: fileoutparam<0> +Oct-21 11:57:25.998 [TaskFinalizer-2] DEBUG nextflow.processor.TaskProcessor - Process EXPORT_LOCUSBREAKER > Skipping output binding because one or more optional files are missing: fileoutparam<1> +Oct-21 11:57:26.354 [Task monitor] DEBUG n.processor.TaskPollingMonitor - Task completed > TaskHandler[id: 2; name: EXPORT_LOCUSBREAKER (2); status: COMPLETED; exit: 0; error: -; workDir: /group/soranzo/bruno.ariano/TileDB-sumstat/work/39/7f63e10e39c1dc4d7b98f042acb351] +Oct-21 11:57:26.359 [TaskFinalizer-3] DEBUG nextflow.processor.TaskProcessor - Process EXPORT_LOCUSBREAKER > Skipping output binding because one or more optional files are missing: fileoutparam<0> +Oct-21 11:57:26.359 [TaskFinalizer-3] DEBUG nextflow.processor.TaskProcessor - Process EXPORT_LOCUSBREAKER > Skipping output binding because one or more optional files are missing: fileoutparam<1> +Oct-21 11:57:26.365 [main] DEBUG nextflow.Session - Session await > all processes finished +Oct-21 11:57:26.455 [Task monitor] DEBUG n.processor.TaskPollingMonitor - <<< barrier arrives (monitor: local) - terminating tasks monitor poll loop +Oct-21 11:57:26.455 [main] DEBUG nextflow.Session - Session await > all barriers passed +Oct-21 11:57:26.458 [main] DEBUG nextflow.util.ThreadPoolManager - Thread pool 'TaskFinalizer' shutdown completed (hard=false) +Oct-21 11:57:26.463 [main] DEBUG n.trace.WorkflowStatsObserver - Workflow completed > WorkflowStats[succeededCount=3; failedCount=0; ignoredCount=0; cachedCount=0; pendingCount=0; submittedCount=0; runningCount=0; retriesCount=0; abortedCount=0; succeedDuration=4m 10s; failedDuration=0ms; cachedDuration=0ms;loadCpus=0; loadMemory=0; peakRunning=3; peakCpus=18; peakMemory=90 GB; ] +Oct-21 11:57:26.463 [main] DEBUG nextflow.trace.TraceFileObserver - Workflow completed -- saving trace file +Oct-21 11:57:26.466 [main] DEBUG nextflow.trace.ReportObserver - Workflow completed -- rendering execution report +Oct-21 11:57:26.946 [main] DEBUG nextflow.trace.TimelineObserver - Workflow completed -- rendering execution timeline +Oct-21 11:57:27.117 [main] DEBUG nextflow.cache.CacheDB - Closing CacheDB done +Oct-21 11:57:27.142 [main] DEBUG nextflow.util.ThreadPoolManager - Thread pool 'FileTransfer' shutdown completed (hard=false) +Oct-21 11:57:27.143 [main] DEBUG nextflow.script.ScriptRunner - > Execution complete -- Goodbye diff --git a/.nextflow.log.3 b/.nextflow.log.3 new file mode 100644 index 0000000..f0be6b7 --- /dev/null +++ b/.nextflow.log.3 @@ -0,0 +1,146 @@ +Oct-21 11:55:27.947 [main] DEBUG nextflow.cli.Launcher - $> nextflow run main.nf -profile conda,test_export_lb +Oct-21 11:55:28.105 [main] DEBUG nextflow.cli.CmdRun - N E X T F L O W ~ version 25.04.3 +Oct-21 11:55:28.126 [main] DEBUG nextflow.plugin.PluginsFacade - Setting up plugin manager > mode=prod; embedded=false; plugins-dir=/home/bruno.ariano/.nextflow/plugins; core-plugins: nf-amazon@2.15.0,nf-azure@1.16.0,nf-cloudcache@0.4.3,nf-codecommit@0.2.3,nf-console@1.2.1,nf-google@1.21.0,nf-k8s@1.0.0,nf-tower@1.11.3,nf-wave@1.12.1 +Oct-21 11:55:28.148 [main] INFO o.pf4j.DefaultPluginStatusProvider - Enabled plugins: [] +Oct-21 11:55:28.149 [main] INFO o.pf4j.DefaultPluginStatusProvider - Disabled plugins: [] +Oct-21 11:55:28.152 [main] INFO org.pf4j.DefaultPluginManager - PF4J version 3.12.0 in 'deployment' mode +Oct-21 11:55:28.173 [main] INFO org.pf4j.AbstractPluginManager - No plugins +Oct-21 11:55:28.197 [main] DEBUG nextflow.config.ConfigBuilder - Found config local: /group/soranzo/bruno.ariano/TileDB-sumstat/nextflow.config +Oct-21 11:55:28.199 [main] DEBUG nextflow.config.ConfigBuilder - Parsing config file: /group/soranzo/bruno.ariano/TileDB-sumstat/nextflow.config +Oct-21 11:55:28.231 [main] DEBUG n.secret.LocalSecretsProvider - Secrets store: /home/bruno.ariano/.nextflow/secrets/store.json +Oct-21 11:55:28.235 [main] DEBUG nextflow.secret.SecretsLoader - Discovered secrets providers: [nextflow.secret.LocalSecretsProvider@5c41d037] - activable => nextflow.secret.LocalSecretsProvider@5c41d037 +Oct-21 11:55:28.241 [main] DEBUG nextflow.config.ConfigBuilder - Applying config profile: `conda,test_export_lb` +Oct-21 11:55:28.960 [main] DEBUG nextflow.config.ConfigBuilder - Available config profiles: [shifter, test, mamba, charliecloud, apptainer, conda, test_export_lb, singularity, wave, docker, podman] +Oct-21 11:55:28.992 [main] DEBUG nextflow.cli.CmdRun - Applied DSL=2 by global default +Oct-21 11:55:29.008 [main] DEBUG nextflow.cli.CmdRun - Launching `main.nf` [sick_galileo] DSL2 - revision: 1309f0cb95 +Oct-21 11:55:29.010 [main] DEBUG nextflow.plugin.PluginsFacade - Plugins default=[] +Oct-21 11:55:29.010 [main] DEBUG nextflow.plugin.PluginsFacade - Plugins resolved requirement=[] +Oct-21 11:55:29.054 [main] DEBUG nextflow.Session - Session UUID: 91e4e8cc-db78-4167-a9d6-4eeb596dcdf9 +Oct-21 11:55:29.055 [main] DEBUG nextflow.Session - Run name: sick_galileo +Oct-21 11:55:29.055 [main] DEBUG nextflow.Session - Executor pool size: 40 +Oct-21 11:55:29.063 [main] DEBUG nextflow.file.FilePorter - File porter settings maxRetries=3; maxTransfers=50; pollTimeout=null +Oct-21 11:55:29.067 [main] DEBUG nextflow.util.ThreadPoolBuilder - Creating thread pool 'FileTransfer' minSize=10; maxSize=120; workQueue=LinkedBlockingQueue[-1]; allowCoreThreadTimeout=false +Oct-21 11:55:29.094 [main] DEBUG nextflow.cli.CmdRun - + Version: 25.04.3 build 5949 + Created: 02-06-2025 20:56 UTC (22:56 CEST) + System: Linux 4.18.0-477.10.1.el8_8.x86_64 + Runtime: Groovy 4.0.26 on OpenJDK 64-Bit Server VM 17.0.8.1+1 + Encoding: UTF-8 (UTF-8) + Process: 1511892@hnode02 [192.168.104.253] + CPUs: 40 - Mem: 375.9 GB (12.5 GB) - Swap: 64 GB (59.2 GB) +Oct-21 11:55:29.125 [main] DEBUG nextflow.Session - Work-dir: /group/soranzo/bruno.ariano/TileDB-sumstat/work [nfs] +Oct-21 11:55:29.126 [main] DEBUG nextflow.Session - Script base path does not exist or is not a directory: /group/soranzo/bruno.ariano/TileDB-sumstat/bin +Oct-21 11:55:29.135 [main] DEBUG nextflow.executor.ExecutorFactory - Extension executors providers=[] +Oct-21 11:55:29.144 [main] DEBUG nextflow.Session - Observer factory: DefaultObserverFactory +Oct-21 11:55:29.174 [main] DEBUG nextflow.Session - Observer factory (v2): LinObserverFactory +Oct-21 11:55:29.197 [main] DEBUG nextflow.cache.CacheFactory - Using Nextflow cache factory: nextflow.cache.DefaultCacheFactory +Oct-21 11:55:29.206 [main] DEBUG nextflow.util.CustomThreadPool - Creating default thread pool > poolSize: 41; maxThreads: 1000 +Oct-21 11:55:29.288 [main] DEBUG nextflow.Session - Session start +Oct-21 11:55:29.291 [main] DEBUG nextflow.trace.TraceFileObserver - Workflow started -- trace file: /group/soranzo/bruno.ariano/TileDB-sumstat/results/pipeline_info/execution_trace_2025-10-21_11-55-28.txt +Oct-21 11:55:29.474 [main] DEBUG nextflow.script.ScriptRunner - > Launching execution +Oct-21 11:55:29.925 [main] DEBUG nextflow.script.ProcessConfig - Config settings `withLabel:process_multi` matches labels `process_multi` for process with name EXPORT_LOCUSBREAKER +Oct-21 11:55:29.935 [main] DEBUG nextflow.executor.ExecutorFactory - << taskConfig executor: null +Oct-21 11:55:29.936 [main] DEBUG nextflow.executor.ExecutorFactory - >> processorType: 'local' +Oct-21 11:55:29.942 [main] DEBUG nextflow.executor.Executor - [warm up] executor > local +Oct-21 11:55:29.948 [main] DEBUG n.processor.LocalPollingMonitor - Creating local task monitor for executor 'local' > cpus=40; memory=375.9 GB; capacity=40; pollInterval=100ms; dumpInterval=5m +Oct-21 11:55:29.951 [main] DEBUG n.processor.TaskPollingMonitor - >>> barrier register (monitor: local) +Oct-21 11:55:29.972 [main] DEBUG nextflow.processor.TaskProcessor - Creating process 'EXPORT_LOCUSBREAKER': maxForks=0; fair=false; array=0 +Oct-21 11:55:30.000 [main] DEBUG nextflow.Session - Workflow process names [dsl2]: EXPORT_LOCUSBREAKER, MERGE_METADATA, EXPORT_REGIONS, INGEST_DATA, CREATE_TILEDB +Oct-21 11:55:30.002 [main] DEBUG nextflow.Session - Igniting dataflow network (2) +Oct-21 11:55:30.008 [main] DEBUG nextflow.processor.TaskProcessor - Starting process > EXPORT_LOCUSBREAKER +Oct-21 11:55:30.009 [main] DEBUG nextflow.script.ScriptRunner - Parsed script files: + Script_7b14281b3e71c830: /group/soranzo/bruno.ariano/TileDB-sumstat/modules/merge_metadata/main.nf + Script_f79ff21670d5e55f: /group/soranzo/bruno.ariano/TileDB-sumstat/modules/regions/main.nf + Script_25f7cc05cc930eea: /group/soranzo/bruno.ariano/TileDB-sumstat/modules/locusbreaker/main.nf + Script_fa94f925e889eb3d: /group/soranzo/bruno.ariano/TileDB-sumstat/modules/create_tiledb/main.nf + Script_9642d9956a1c233a: /group/soranzo/bruno.ariano/TileDB-sumstat/modules/ingestion/main.nf + Script_d23e1daa06b1131d: /group/soranzo/bruno.ariano/TileDB-sumstat/main.nf +Oct-21 11:55:30.009 [main] DEBUG nextflow.script.ScriptRunner - > Awaiting termination +Oct-21 11:55:30.009 [main] DEBUG nextflow.Session - Session await +Oct-21 11:55:30.025 [Actor Thread 6] DEBUG n.splitter.AbstractTextSplitter - Splitter `Text` collector path: nextflow.splitter.TextFileCollector$CachePath(/group/soranzo/bruno.ariano/TileDB-sumstat/work/bf/15ede2cde87d84a5376615e85df162/locusbreaker_test_table.csv, null) +Oct-21 11:55:30.157 [Actor Thread 22] DEBUG nextflow.conda.CondaCache - conda found local env for environment=/ssu/gassu/conda_envs/scqtl; path=/ssu/gassu/conda_envs/scqtl +Oct-21 11:55:30.241 [Task submitter] DEBUG n.executor.local.LocalTaskHandler - Launch cmd line: /bin/bash -ue .command.run +Oct-21 11:55:30.243 [Task submitter] INFO nextflow.Session - [f2/e8a2b7] Submitted process > EXPORT_LOCUSBREAKER (2) +Oct-21 11:55:30.260 [Task submitter] DEBUG n.executor.local.LocalTaskHandler - Launch cmd line: /bin/bash -ue .command.run +Oct-21 11:55:30.261 [Task submitter] INFO nextflow.Session - [9d/2f291b] Submitted process > EXPORT_LOCUSBREAKER (3) +Oct-21 11:55:30.274 [Task submitter] DEBUG n.executor.local.LocalTaskHandler - Launch cmd line: /bin/bash -ue .command.run +Oct-21 11:55:30.275 [Task submitter] INFO nextflow.Session - [33/2e3a90] Submitted process > EXPORT_LOCUSBREAKER (1) +Oct-21 11:55:50.359 [Task monitor] DEBUG n.processor.TaskPollingMonitor - Task completed > TaskHandler[id: 2; name: EXPORT_LOCUSBREAKER (2); status: COMPLETED; exit: 1; error: -; workDir: /group/soranzo/bruno.ariano/TileDB-sumstat/work/f2/e8a2b783babc51dd6ac02fb4ca3bf5] +Oct-21 11:55:50.360 [Task monitor] DEBUG nextflow.util.ThreadPoolBuilder - Creating thread pool 'TaskFinalizer' minSize=10; maxSize=120; workQueue=LinkedBlockingQueue[-1]; allowCoreThreadTimeout=false +Oct-21 11:55:50.365 [Task monitor] DEBUG n.processor.TaskPollingMonitor - Task completed > TaskHandler[id: 1; name: EXPORT_LOCUSBREAKER (1); status: COMPLETED; exit: 1; error: -; workDir: /group/soranzo/bruno.ariano/TileDB-sumstat/work/33/2e3a905e047dcf309151e9748b8f3f] +Oct-21 11:55:50.370 [TaskFinalizer-1] DEBUG nextflow.processor.TaskProcessor - Handling unexpected condition for + task: name=EXPORT_LOCUSBREAKER (2); work-dir=/group/soranzo/bruno.ariano/TileDB-sumstat/work/f2/e8a2b783babc51dd6ac02fb4ca3bf5 + error [nextflow.exception.ProcessFailedException]: Process `EXPORT_LOCUSBREAKER (2)` terminated with an error exit status (1) +Oct-21 11:55:50.388 [TaskFinalizer-1] ERROR nextflow.processor.TaskProcessor - Error executing process > 'EXPORT_LOCUSBREAKER (2)' + +Caused by: + Process `EXPORT_LOCUSBREAKER (2)` terminated with an error exit status (1) + + +Command executed: + + scqtl export --table-lb locusbreaker_test_table.2.csv --tiledb-path /group/soranzo/bruno.ariano/TileDB-sumstat/example_data/TileDB_test --out out --maf-lb 0.001 --type-sumstat qtl --hole-lb 250000 --locus-max-size-lb 2000000 --locusbreaker --batch-name-lb 2 + +Command exit status: + 1 + +Command output: + Starting LocusBreaker + +Command error: + Starting LocusBreaker + Traceback (most recent call last): + File "/ssu/gassu/conda_envs/scqtl/bin/scqtl", line 8, in + sys.exit(main()) + ^^^^^^ + File "/group/soranzo/bruno.ariano/TileDB-sumstat/scqtl/main.py", line 22, in main + cli_init(obj={}) + File "/ssu/gassu/conda_envs/scqtl/lib/python3.12/site-packages/click/core.py", line 1442, in __call__ + return self.main(*args, **kwargs) + ^^^^^^^^^^^^^^^^^^^^^^^^^^ + File "/ssu/gassu/conda_envs/scqtl/lib/python3.12/site-packages/click/core.py", line 1363, in main + rv = self.invoke(ctx) + ^^^^^^^^^^^^^^^^ + File "/ssu/gassu/conda_envs/scqtl/lib/python3.12/site-packages/click/core.py", line 1830, in invoke + return _process_result(sub_ctx.command.invoke(sub_ctx)) + ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^ + File "/ssu/gassu/conda_envs/scqtl/lib/python3.12/site-packages/click/core.py", line 1226, in invoke + return ctx.invoke(self.callback, **ctx.params) + ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^ + File "/ssu/gassu/conda_envs/scqtl/lib/python3.12/site-packages/click/core.py", line 794, in invoke + return callback(*args, **kwargs) + ^^^^^^^^^^^^^^^^^^^^^^^^^ + File "/ssu/gassu/conda_envs/scqtl/lib/python3.12/site-packages/click/decorators.py", line 34, in new_func + return f(get_current_context(), *args, **kwargs) + ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^ + File "/group/soranzo/bruno.ariano/TileDB-sumstat/scqtl/cli/export.py", line 163, in export + result = locus_breaker(query, + ^^^^^^^^^^^^^^^^^^^^ + File "/group/soranzo/bruno.ariano/TileDB-sumstat/scqtl/cli/export.py", line 148, in locus_breaker + return locusbreaker_plpl(tiledb_data, maf = maf, pvalue_sig=pvalue_sig, pvalue_limit=pvalue_limit, locus_max_size = locus_max_size, + ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^ + TypeError: locusbreaker_plpl() got an unexpected keyword argument 'cis_trans_lb' + +Work dir: + /group/soranzo/bruno.ariano/TileDB-sumstat/work/f2/e8a2b783babc51dd6ac02fb4ca3bf5 + +Tip: view the complete command output by changing to the process work dir and entering the command `cat .command.out` +Oct-21 11:55:50.389 [TaskFinalizer-2] DEBUG nextflow.processor.TaskProcessor - Handling unexpected condition for + task: name=EXPORT_LOCUSBREAKER (1); work-dir=/group/soranzo/bruno.ariano/TileDB-sumstat/work/33/2e3a905e047dcf309151e9748b8f3f + error [nextflow.exception.ProcessFailedException]: Process `EXPORT_LOCUSBREAKER (1)` terminated with an error exit status (1) +Oct-21 11:55:50.401 [TaskFinalizer-1] INFO nextflow.Session - Execution cancelled -- Finishing pending tasks before exit +Oct-21 11:55:50.407 [main] DEBUG nextflow.Session - Session await > all processes finished +Oct-21 11:55:50.562 [Task monitor] DEBUG n.processor.TaskPollingMonitor - Task completed > TaskHandler[id: 3; name: EXPORT_LOCUSBREAKER (3); status: COMPLETED; exit: 1; error: -; workDir: /group/soranzo/bruno.ariano/TileDB-sumstat/work/9d/2f291be5f9bd98d831c293476c268e] +Oct-21 11:55:50.563 [Task monitor] DEBUG n.processor.TaskPollingMonitor - <<< barrier arrives (monitor: local) - terminating tasks monitor poll loop +Oct-21 11:55:50.564 [main] DEBUG nextflow.Session - Session await > all barriers passed +Oct-21 11:55:50.566 [TaskFinalizer-3] DEBUG nextflow.processor.TaskProcessor - Handling unexpected condition for + task: name=EXPORT_LOCUSBREAKER (3); work-dir=/group/soranzo/bruno.ariano/TileDB-sumstat/work/9d/2f291be5f9bd98d831c293476c268e + error [nextflow.exception.ProcessFailedException]: Process `EXPORT_LOCUSBREAKER (3)` terminated with an error exit status (1) +Oct-21 11:55:50.570 [main] DEBUG nextflow.util.ThreadPoolManager - Thread pool 'TaskFinalizer' shutdown completed (hard=false) +Oct-21 11:55:50.588 [main] DEBUG n.trace.WorkflowStatsObserver - Workflow completed > WorkflowStats[succeededCount=0; failedCount=3; ignoredCount=0; cachedCount=0; pendingCount=0; submittedCount=0; runningCount=0; retriesCount=0; abortedCount=0; succeedDuration=0ms; failedDuration=6m 2s; cachedDuration=0ms;loadCpus=0; loadMemory=0; peakRunning=3; peakCpus=18; peakMemory=90 GB; ] +Oct-21 11:55:50.588 [main] DEBUG nextflow.trace.TraceFileObserver - Workflow completed -- saving trace file +Oct-21 11:55:50.591 [main] DEBUG nextflow.trace.ReportObserver - Workflow completed -- rendering execution report +Oct-21 11:55:51.074 [main] DEBUG nextflow.trace.TimelineObserver - Workflow completed -- rendering execution timeline +Oct-21 11:55:51.214 [main] DEBUG nextflow.cache.CacheDB - Closing CacheDB done +Oct-21 11:55:51.243 [main] DEBUG nextflow.util.ThreadPoolManager - Thread pool 'FileTransfer' shutdown completed (hard=false) +Oct-21 11:55:51.243 [main] DEBUG nextflow.script.ScriptRunner - > Execution complete -- Goodbye diff --git a/.nextflow.log.4 b/.nextflow.log.4 new file mode 100644 index 0000000..472b7d7 --- /dev/null +++ b/.nextflow.log.4 @@ -0,0 +1,145 @@ +Oct-21 11:53:25.771 [main] DEBUG nextflow.cli.Launcher - $> nextflow run main.nf -profile conda,test_export_lb +Oct-21 11:53:25.930 [main] DEBUG nextflow.cli.CmdRun - N E X T F L O W ~ version 25.04.3 +Oct-21 11:53:25.953 [main] DEBUG nextflow.plugin.PluginsFacade - Setting up plugin manager > mode=prod; embedded=false; plugins-dir=/home/bruno.ariano/.nextflow/plugins; core-plugins: nf-amazon@2.15.0,nf-azure@1.16.0,nf-cloudcache@0.4.3,nf-codecommit@0.2.3,nf-console@1.2.1,nf-google@1.21.0,nf-k8s@1.0.0,nf-tower@1.11.3,nf-wave@1.12.1 +Oct-21 11:53:25.988 [main] INFO o.pf4j.DefaultPluginStatusProvider - Enabled plugins: [] +Oct-21 11:53:25.989 [main] INFO o.pf4j.DefaultPluginStatusProvider - Disabled plugins: [] +Oct-21 11:53:25.993 [main] INFO org.pf4j.DefaultPluginManager - PF4J version 3.12.0 in 'deployment' mode +Oct-21 11:53:26.006 [main] INFO org.pf4j.AbstractPluginManager - No plugins +Oct-21 11:53:26.027 [main] DEBUG nextflow.config.ConfigBuilder - Found config local: /group/soranzo/bruno.ariano/TileDB-sumstat/nextflow.config +Oct-21 11:53:26.029 [main] DEBUG nextflow.config.ConfigBuilder - Parsing config file: /group/soranzo/bruno.ariano/TileDB-sumstat/nextflow.config +Oct-21 11:53:26.059 [main] DEBUG n.secret.LocalSecretsProvider - Secrets store: /home/bruno.ariano/.nextflow/secrets/store.json +Oct-21 11:53:26.062 [main] DEBUG nextflow.secret.SecretsLoader - Discovered secrets providers: [nextflow.secret.LocalSecretsProvider@5c41d037] - activable => nextflow.secret.LocalSecretsProvider@5c41d037 +Oct-21 11:53:26.068 [main] DEBUG nextflow.config.ConfigBuilder - Applying config profile: `conda,test_export_lb` +Oct-21 11:53:26.785 [main] DEBUG nextflow.config.ConfigBuilder - Available config profiles: [shifter, test, mamba, charliecloud, apptainer, conda, test_export_lb, singularity, wave, docker, podman] +Oct-21 11:53:26.816 [main] DEBUG nextflow.cli.CmdRun - Applied DSL=2 by global default +Oct-21 11:53:26.836 [main] DEBUG nextflow.cli.CmdRun - Launching `main.nf` [distracted_tuckerman] DSL2 - revision: 1309f0cb95 +Oct-21 11:53:26.838 [main] DEBUG nextflow.plugin.PluginsFacade - Plugins default=[] +Oct-21 11:53:26.838 [main] DEBUG nextflow.plugin.PluginsFacade - Plugins resolved requirement=[] +Oct-21 11:53:26.884 [main] DEBUG nextflow.Session - Session UUID: b7c4133e-43d3-443a-bc32-b5d59028eadc +Oct-21 11:53:26.885 [main] DEBUG nextflow.Session - Run name: distracted_tuckerman +Oct-21 11:53:26.886 [main] DEBUG nextflow.Session - Executor pool size: 40 +Oct-21 11:53:26.893 [main] DEBUG nextflow.file.FilePorter - File porter settings maxRetries=3; maxTransfers=50; pollTimeout=null +Oct-21 11:53:26.897 [main] DEBUG nextflow.util.ThreadPoolBuilder - Creating thread pool 'FileTransfer' minSize=10; maxSize=120; workQueue=LinkedBlockingQueue[-1]; allowCoreThreadTimeout=false +Oct-21 11:53:26.925 [main] DEBUG nextflow.cli.CmdRun - + Version: 25.04.3 build 5949 + Created: 02-06-2025 20:56 UTC (22:56 CEST) + System: Linux 4.18.0-477.10.1.el8_8.x86_64 + Runtime: Groovy 4.0.26 on OpenJDK 64-Bit Server VM 17.0.8.1+1 + Encoding: UTF-8 (UTF-8) + Process: 1503080@hnode02 [192.168.104.253] + CPUs: 40 - Mem: 375.9 GB (11.8 GB) - Swap: 64 GB (59.2 GB) +Oct-21 11:53:26.957 [main] DEBUG nextflow.Session - Work-dir: /group/soranzo/bruno.ariano/TileDB-sumstat/work [nfs] +Oct-21 11:53:26.958 [main] DEBUG nextflow.Session - Script base path does not exist or is not a directory: /group/soranzo/bruno.ariano/TileDB-sumstat/bin +Oct-21 11:53:26.967 [main] DEBUG nextflow.executor.ExecutorFactory - Extension executors providers=[] +Oct-21 11:53:26.976 [main] DEBUG nextflow.Session - Observer factory: DefaultObserverFactory +Oct-21 11:53:27.004 [main] DEBUG nextflow.Session - Observer factory (v2): LinObserverFactory +Oct-21 11:53:27.027 [main] DEBUG nextflow.cache.CacheFactory - Using Nextflow cache factory: nextflow.cache.DefaultCacheFactory +Oct-21 11:53:27.036 [main] DEBUG nextflow.util.CustomThreadPool - Creating default thread pool > poolSize: 41; maxThreads: 1000 +Oct-21 11:53:27.131 [main] DEBUG nextflow.Session - Session start +Oct-21 11:53:27.134 [main] DEBUG nextflow.trace.TraceFileObserver - Workflow started -- trace file: /group/soranzo/bruno.ariano/TileDB-sumstat/results/pipeline_info/execution_trace_2025-10-21_11-53-26.txt +Oct-21 11:53:27.313 [main] DEBUG nextflow.script.ScriptRunner - > Launching execution +Oct-21 11:53:27.774 [main] DEBUG nextflow.script.ProcessConfig - Config settings `withLabel:process_multi` matches labels `process_multi` for process with name EXPORT_LOCUSBREAKER +Oct-21 11:53:27.784 [main] DEBUG nextflow.executor.ExecutorFactory - << taskConfig executor: null +Oct-21 11:53:27.784 [main] DEBUG nextflow.executor.ExecutorFactory - >> processorType: 'local' +Oct-21 11:53:27.791 [main] DEBUG nextflow.executor.Executor - [warm up] executor > local +Oct-21 11:53:27.797 [main] DEBUG n.processor.LocalPollingMonitor - Creating local task monitor for executor 'local' > cpus=40; memory=375.9 GB; capacity=40; pollInterval=100ms; dumpInterval=5m +Oct-21 11:53:27.799 [main] DEBUG n.processor.TaskPollingMonitor - >>> barrier register (monitor: local) +Oct-21 11:53:27.822 [main] DEBUG nextflow.processor.TaskProcessor - Creating process 'EXPORT_LOCUSBREAKER': maxForks=0; fair=false; array=0 +Oct-21 11:53:27.854 [main] DEBUG nextflow.Session - Workflow process names [dsl2]: EXPORT_LOCUSBREAKER, MERGE_METADATA, EXPORT_REGIONS, INGEST_DATA, CREATE_TILEDB +Oct-21 11:53:27.857 [main] DEBUG nextflow.Session - Igniting dataflow network (2) +Oct-21 11:53:27.862 [main] DEBUG nextflow.processor.TaskProcessor - Starting process > EXPORT_LOCUSBREAKER +Oct-21 11:53:27.863 [main] DEBUG nextflow.script.ScriptRunner - Parsed script files: + Script_7b14281b3e71c830: /group/soranzo/bruno.ariano/TileDB-sumstat/modules/merge_metadata/main.nf + Script_f79ff21670d5e55f: /group/soranzo/bruno.ariano/TileDB-sumstat/modules/regions/main.nf + Script_25f7cc05cc930eea: /group/soranzo/bruno.ariano/TileDB-sumstat/modules/locusbreaker/main.nf + Script_fa94f925e889eb3d: /group/soranzo/bruno.ariano/TileDB-sumstat/modules/create_tiledb/main.nf + Script_9642d9956a1c233a: /group/soranzo/bruno.ariano/TileDB-sumstat/modules/ingestion/main.nf + Script_d23e1daa06b1131d: /group/soranzo/bruno.ariano/TileDB-sumstat/main.nf +Oct-21 11:53:27.864 [main] DEBUG nextflow.script.ScriptRunner - > Awaiting termination +Oct-21 11:53:27.864 [main] DEBUG nextflow.Session - Session await +Oct-21 11:53:27.877 [Actor Thread 6] DEBUG n.splitter.AbstractTextSplitter - Splitter `Text` collector path: nextflow.splitter.TextFileCollector$CachePath(/group/soranzo/bruno.ariano/TileDB-sumstat/work/b8/d54b5d3f9399b2bea396d6f938132d/locusbreaker_test_table.csv, null) +Oct-21 11:53:28.013 [Actor Thread 21] DEBUG nextflow.conda.CondaCache - conda found local env for environment=/ssu/gassu/conda_envs/scqtl; path=/ssu/gassu/conda_envs/scqtl +Oct-21 11:53:28.104 [Task submitter] DEBUG n.executor.local.LocalTaskHandler - Launch cmd line: /bin/bash -ue .command.run +Oct-21 11:53:28.106 [Task submitter] INFO nextflow.Session - [98/1f2dc2] Submitted process > EXPORT_LOCUSBREAKER (1) +Oct-21 11:53:28.126 [Task submitter] DEBUG n.executor.local.LocalTaskHandler - Launch cmd line: /bin/bash -ue .command.run +Oct-21 11:53:28.126 [Task submitter] INFO nextflow.Session - [8d/9ede77] Submitted process > EXPORT_LOCUSBREAKER (2) +Oct-21 11:53:28.141 [Task submitter] DEBUG n.executor.local.LocalTaskHandler - Launch cmd line: /bin/bash -ue .command.run +Oct-21 11:53:28.141 [Task submitter] INFO nextflow.Session - [8c/f4ce0f] Submitted process > EXPORT_LOCUSBREAKER (3) +Oct-21 11:53:48.199 [Task monitor] DEBUG n.processor.TaskPollingMonitor - Task completed > TaskHandler[id: 2; name: EXPORT_LOCUSBREAKER (2); status: COMPLETED; exit: 1; error: -; workDir: /group/soranzo/bruno.ariano/TileDB-sumstat/work/8d/9ede77611ae08b10f28ad93d3330a9] +Oct-21 11:53:48.201 [Task monitor] DEBUG nextflow.util.ThreadPoolBuilder - Creating thread pool 'TaskFinalizer' minSize=10; maxSize=120; workQueue=LinkedBlockingQueue[-1]; allowCoreThreadTimeout=false +Oct-21 11:53:48.209 [Task monitor] DEBUG n.processor.TaskPollingMonitor - Task completed > TaskHandler[id: 3; name: EXPORT_LOCUSBREAKER (3); status: COMPLETED; exit: 1; error: -; workDir: /group/soranzo/bruno.ariano/TileDB-sumstat/work/8c/f4ce0f2d02082a753ed6cb0bd76de3] +Oct-21 11:53:48.212 [TaskFinalizer-1] DEBUG nextflow.processor.TaskProcessor - Handling unexpected condition for + task: name=EXPORT_LOCUSBREAKER (2); work-dir=/group/soranzo/bruno.ariano/TileDB-sumstat/work/8d/9ede77611ae08b10f28ad93d3330a9 + error [nextflow.exception.ProcessFailedException]: Process `EXPORT_LOCUSBREAKER (2)` terminated with an error exit status (1) +Oct-21 11:53:48.231 [TaskFinalizer-1] ERROR nextflow.processor.TaskProcessor - Error executing process > 'EXPORT_LOCUSBREAKER (2)' + +Caused by: + Process `EXPORT_LOCUSBREAKER (2)` terminated with an error exit status (1) + + +Command executed: + + scqtl export --table-lb locusbreaker_test_table.2.csv --tiledb-path /group/soranzo/bruno.ariano/TileDB-sumstat/example_data/TileDB_test --out out --maf-lb 0.001 --type-sumstat qtl --hole-lb 250000 --locus-max-size-lb 2000000 --locusbreaker --batch-name-lb 2 + +Command exit status: + 1 + +Command output: + Starting LocusBreaker + +Command error: + Starting LocusBreaker + Traceback (most recent call last): + File "/ssu/gassu/conda_envs/scqtl/bin/scqtl", line 8, in + sys.exit(main()) + ^^^^^^ + File "/group/soranzo/bruno.ariano/TileDB-sumstat/scqtl/main.py", line 22, in main + cli_init(obj={}) + File "/ssu/gassu/conda_envs/scqtl/lib/python3.12/site-packages/click/core.py", line 1442, in __call__ + return self.main(*args, **kwargs) + ^^^^^^^^^^^^^^^^^^^^^^^^^^ + File "/ssu/gassu/conda_envs/scqtl/lib/python3.12/site-packages/click/core.py", line 1363, in main + rv = self.invoke(ctx) + ^^^^^^^^^^^^^^^^ + File "/ssu/gassu/conda_envs/scqtl/lib/python3.12/site-packages/click/core.py", line 1830, in invoke + return _process_result(sub_ctx.command.invoke(sub_ctx)) + ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^ + File "/ssu/gassu/conda_envs/scqtl/lib/python3.12/site-packages/click/core.py", line 1226, in invoke + return ctx.invoke(self.callback, **ctx.params) + ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^ + File "/ssu/gassu/conda_envs/scqtl/lib/python3.12/site-packages/click/core.py", line 794, in invoke + return callback(*args, **kwargs) + ^^^^^^^^^^^^^^^^^^^^^^^^^ + File "/ssu/gassu/conda_envs/scqtl/lib/python3.12/site-packages/click/decorators.py", line 34, in new_func + return f(get_current_context(), *args, **kwargs) + ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^ + File "/group/soranzo/bruno.ariano/TileDB-sumstat/scqtl/cli/export.py", line 151, in export + traits = traits.astype({'CHR': 'int16'}) + ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^ + File "/ssu/gassu/conda_envs/scqtl/lib/python3.12/site-packages/pandas/core/generic.py", line 6624, in astype + raise KeyError( + KeyError: "Only a column name can be used for the key in a dtype mappings argument. 'CHR' not found in columns." + +Work dir: + /group/soranzo/bruno.ariano/TileDB-sumstat/work/8d/9ede77611ae08b10f28ad93d3330a9 + +Tip: you can try to figure out what's wrong by changing to the process work dir and showing the script file named `.command.sh` +Oct-21 11:53:48.232 [TaskFinalizer-2] DEBUG nextflow.processor.TaskProcessor - Handling unexpected condition for + task: name=EXPORT_LOCUSBREAKER (3); work-dir=/group/soranzo/bruno.ariano/TileDB-sumstat/work/8c/f4ce0f2d02082a753ed6cb0bd76de3 + error [nextflow.exception.ProcessFailedException]: Process `EXPORT_LOCUSBREAKER (3)` terminated with an error exit status (1) +Oct-21 11:53:48.244 [TaskFinalizer-1] INFO nextflow.Session - Execution cancelled -- Finishing pending tasks before exit +Oct-21 11:53:48.250 [main] DEBUG nextflow.Session - Session await > all processes finished +Oct-21 11:53:48.422 [Task monitor] DEBUG n.processor.TaskPollingMonitor - Task completed > TaskHandler[id: 1; name: EXPORT_LOCUSBREAKER (1); status: COMPLETED; exit: 1; error: -; workDir: /group/soranzo/bruno.ariano/TileDB-sumstat/work/98/1f2dc2eede33523f82d5a646dca032] +Oct-21 11:53:48.424 [Task monitor] DEBUG n.processor.TaskPollingMonitor - <<< barrier arrives (monitor: local) - terminating tasks monitor poll loop +Oct-21 11:53:48.424 [main] DEBUG nextflow.Session - Session await > all barriers passed +Oct-21 11:53:48.426 [TaskFinalizer-3] DEBUG nextflow.processor.TaskProcessor - Handling unexpected condition for + task: name=EXPORT_LOCUSBREAKER (1); work-dir=/group/soranzo/bruno.ariano/TileDB-sumstat/work/98/1f2dc2eede33523f82d5a646dca032 + error [nextflow.exception.ProcessFailedException]: Process `EXPORT_LOCUSBREAKER (1)` terminated with an error exit status (1) +Oct-21 11:53:48.431 [main] DEBUG nextflow.util.ThreadPoolManager - Thread pool 'TaskFinalizer' shutdown completed (hard=false) +Oct-21 11:53:48.448 [main] DEBUG n.trace.WorkflowStatsObserver - Workflow completed > WorkflowStats[succeededCount=0; failedCount=3; ignoredCount=0; cachedCount=0; pendingCount=0; submittedCount=0; runningCount=0; retriesCount=0; abortedCount=0; succeedDuration=0ms; failedDuration=6m 1s; cachedDuration=0ms;loadCpus=0; loadMemory=0; peakRunning=3; peakCpus=18; peakMemory=90 GB; ] +Oct-21 11:53:48.448 [main] DEBUG nextflow.trace.TraceFileObserver - Workflow completed -- saving trace file +Oct-21 11:53:48.451 [main] DEBUG nextflow.trace.ReportObserver - Workflow completed -- rendering execution report +Oct-21 11:53:48.941 [main] DEBUG nextflow.trace.TimelineObserver - Workflow completed -- rendering execution timeline +Oct-21 11:53:49.065 [main] DEBUG nextflow.cache.CacheDB - Closing CacheDB done +Oct-21 11:53:49.095 [main] DEBUG nextflow.util.ThreadPoolManager - Thread pool 'FileTransfer' shutdown completed (hard=false) +Oct-21 11:53:49.096 [main] DEBUG nextflow.script.ScriptRunner - > Execution complete -- Goodbye diff --git a/.nextflow.log.5 b/.nextflow.log.5 new file mode 100644 index 0000000..ac17d2e --- /dev/null +++ b/.nextflow.log.5 @@ -0,0 +1,142 @@ +Oct-21 11:51:40.452 [main] DEBUG nextflow.cli.Launcher - $> nextflow run main.nf -profile conda,test_export_lb +Oct-21 11:51:40.600 [main] DEBUG nextflow.cli.CmdRun - N E X T F L O W ~ version 25.04.3 +Oct-21 11:51:40.622 [main] DEBUG nextflow.plugin.PluginsFacade - Setting up plugin manager > mode=prod; embedded=false; plugins-dir=/home/bruno.ariano/.nextflow/plugins; core-plugins: nf-amazon@2.15.0,nf-azure@1.16.0,nf-cloudcache@0.4.3,nf-codecommit@0.2.3,nf-console@1.2.1,nf-google@1.21.0,nf-k8s@1.0.0,nf-tower@1.11.3,nf-wave@1.12.1 +Oct-21 11:51:40.646 [main] INFO o.pf4j.DefaultPluginStatusProvider - Enabled plugins: [] +Oct-21 11:51:40.647 [main] INFO o.pf4j.DefaultPluginStatusProvider - Disabled plugins: [] +Oct-21 11:51:40.650 [main] INFO org.pf4j.DefaultPluginManager - PF4J version 3.12.0 in 'deployment' mode +Oct-21 11:51:40.661 [main] INFO org.pf4j.AbstractPluginManager - No plugins +Oct-21 11:51:40.695 [main] DEBUG nextflow.config.ConfigBuilder - Found config local: /group/soranzo/bruno.ariano/TileDB-sumstat/nextflow.config +Oct-21 11:51:40.697 [main] DEBUG nextflow.config.ConfigBuilder - Parsing config file: /group/soranzo/bruno.ariano/TileDB-sumstat/nextflow.config +Oct-21 11:51:40.726 [main] DEBUG n.secret.LocalSecretsProvider - Secrets store: /home/bruno.ariano/.nextflow/secrets/store.json +Oct-21 11:51:40.729 [main] DEBUG nextflow.secret.SecretsLoader - Discovered secrets providers: [nextflow.secret.LocalSecretsProvider@5c41d037] - activable => nextflow.secret.LocalSecretsProvider@5c41d037 +Oct-21 11:51:40.734 [main] DEBUG nextflow.config.ConfigBuilder - Applying config profile: `conda,test_export_lb` +Oct-21 11:51:41.466 [main] DEBUG nextflow.config.ConfigBuilder - Available config profiles: [shifter, test, mamba, charliecloud, apptainer, conda, test_export_lb, singularity, wave, docker, podman] +Oct-21 11:51:41.495 [main] DEBUG nextflow.cli.CmdRun - Applied DSL=2 by global default +Oct-21 11:51:41.513 [main] DEBUG nextflow.cli.CmdRun - Launching `main.nf` [deadly_pare] DSL2 - revision: 1309f0cb95 +Oct-21 11:51:41.514 [main] DEBUG nextflow.plugin.PluginsFacade - Plugins default=[] +Oct-21 11:51:41.515 [main] DEBUG nextflow.plugin.PluginsFacade - Plugins resolved requirement=[] +Oct-21 11:51:41.559 [main] DEBUG nextflow.Session - Session UUID: ad41dd6d-ea04-4e8a-9b1e-f615e486ed1e +Oct-21 11:51:41.559 [main] DEBUG nextflow.Session - Run name: deadly_pare +Oct-21 11:51:41.560 [main] DEBUG nextflow.Session - Executor pool size: 40 +Oct-21 11:51:41.567 [main] DEBUG nextflow.file.FilePorter - File porter settings maxRetries=3; maxTransfers=50; pollTimeout=null +Oct-21 11:51:41.571 [main] DEBUG nextflow.util.ThreadPoolBuilder - Creating thread pool 'FileTransfer' minSize=10; maxSize=120; workQueue=LinkedBlockingQueue[-1]; allowCoreThreadTimeout=false +Oct-21 11:51:41.597 [main] DEBUG nextflow.cli.CmdRun - + Version: 25.04.3 build 5949 + Created: 02-06-2025 20:56 UTC (22:56 CEST) + System: Linux 4.18.0-477.10.1.el8_8.x86_64 + Runtime: Groovy 4.0.26 on OpenJDK 64-Bit Server VM 17.0.8.1+1 + Encoding: UTF-8 (UTF-8) + Process: 1495188@hnode02 [192.168.104.253] + CPUs: 40 - Mem: 375.9 GB (12 GB) - Swap: 64 GB (59.2 GB) +Oct-21 11:51:41.625 [main] DEBUG nextflow.Session - Work-dir: /group/soranzo/bruno.ariano/TileDB-sumstat/work [nfs] +Oct-21 11:51:41.626 [main] DEBUG nextflow.Session - Script base path does not exist or is not a directory: /group/soranzo/bruno.ariano/TileDB-sumstat/bin +Oct-21 11:51:41.635 [main] DEBUG nextflow.executor.ExecutorFactory - Extension executors providers=[] +Oct-21 11:51:41.644 [main] DEBUG nextflow.Session - Observer factory: DefaultObserverFactory +Oct-21 11:51:41.672 [main] DEBUG nextflow.Session - Observer factory (v2): LinObserverFactory +Oct-21 11:51:41.695 [main] DEBUG nextflow.cache.CacheFactory - Using Nextflow cache factory: nextflow.cache.DefaultCacheFactory +Oct-21 11:51:41.704 [main] DEBUG nextflow.util.CustomThreadPool - Creating default thread pool > poolSize: 41; maxThreads: 1000 +Oct-21 11:51:41.794 [main] DEBUG nextflow.Session - Session start +Oct-21 11:51:41.798 [main] DEBUG nextflow.trace.TraceFileObserver - Workflow started -- trace file: /group/soranzo/bruno.ariano/TileDB-sumstat/results/pipeline_info/execution_trace_2025-10-21_11-51-41.txt +Oct-21 11:51:41.977 [main] DEBUG nextflow.script.ScriptRunner - > Launching execution +Oct-21 11:51:42.434 [main] DEBUG nextflow.script.ProcessConfig - Config settings `withLabel:process_multi` matches labels `process_multi` for process with name EXPORT_LOCUSBREAKER +Oct-21 11:51:42.444 [main] DEBUG nextflow.executor.ExecutorFactory - << taskConfig executor: null +Oct-21 11:51:42.444 [main] DEBUG nextflow.executor.ExecutorFactory - >> processorType: 'local' +Oct-21 11:51:42.450 [main] DEBUG nextflow.executor.Executor - [warm up] executor > local +Oct-21 11:51:42.456 [main] DEBUG n.processor.LocalPollingMonitor - Creating local task monitor for executor 'local' > cpus=40; memory=375.9 GB; capacity=40; pollInterval=100ms; dumpInterval=5m +Oct-21 11:51:42.458 [main] DEBUG n.processor.TaskPollingMonitor - >>> barrier register (monitor: local) +Oct-21 11:51:42.479 [main] DEBUG nextflow.processor.TaskProcessor - Creating process 'EXPORT_LOCUSBREAKER': maxForks=0; fair=false; array=0 +Oct-21 11:51:42.511 [main] DEBUG nextflow.Session - Workflow process names [dsl2]: EXPORT_LOCUSBREAKER, MERGE_METADATA, EXPORT_REGIONS, INGEST_DATA, CREATE_TILEDB +Oct-21 11:51:42.513 [main] DEBUG nextflow.Session - Igniting dataflow network (2) +Oct-21 11:51:42.519 [main] DEBUG nextflow.processor.TaskProcessor - Starting process > EXPORT_LOCUSBREAKER +Oct-21 11:51:42.520 [main] DEBUG nextflow.script.ScriptRunner - Parsed script files: + Script_7b14281b3e71c830: /group/soranzo/bruno.ariano/TileDB-sumstat/modules/merge_metadata/main.nf + Script_f79ff21670d5e55f: /group/soranzo/bruno.ariano/TileDB-sumstat/modules/regions/main.nf + Script_25f7cc05cc930eea: /group/soranzo/bruno.ariano/TileDB-sumstat/modules/locusbreaker/main.nf + Script_fa94f925e889eb3d: /group/soranzo/bruno.ariano/TileDB-sumstat/modules/create_tiledb/main.nf + Script_9642d9956a1c233a: /group/soranzo/bruno.ariano/TileDB-sumstat/modules/ingestion/main.nf + Script_d23e1daa06b1131d: /group/soranzo/bruno.ariano/TileDB-sumstat/main.nf +Oct-21 11:51:42.520 [main] DEBUG nextflow.script.ScriptRunner - > Awaiting termination +Oct-21 11:51:42.521 [main] DEBUG nextflow.Session - Session await +Oct-21 11:51:42.536 [Actor Thread 6] DEBUG n.splitter.AbstractTextSplitter - Splitter `Text` collector path: nextflow.splitter.TextFileCollector$CachePath(/group/soranzo/bruno.ariano/TileDB-sumstat/work/1a/0413e210df7f3a85ae77f0c9d8dfba/locusbreaker_test_table.csv, null) +Oct-21 11:51:42.677 [Actor Thread 20] DEBUG nextflow.conda.CondaCache - conda found local env for environment=/ssu/gassu/conda_envs/scqtl; path=/ssu/gassu/conda_envs/scqtl +Oct-21 11:51:42.761 [Task submitter] DEBUG n.executor.local.LocalTaskHandler - Launch cmd line: /bin/bash -ue .command.run +Oct-21 11:51:42.763 [Task submitter] INFO nextflow.Session - [58/d0e93a] Submitted process > EXPORT_LOCUSBREAKER (1) +Oct-21 11:51:42.780 [Task submitter] DEBUG n.executor.local.LocalTaskHandler - Launch cmd line: /bin/bash -ue .command.run +Oct-21 11:51:42.781 [Task submitter] INFO nextflow.Session - [d6/6cb8b9] Submitted process > EXPORT_LOCUSBREAKER (2) +Oct-21 11:51:42.795 [Task submitter] DEBUG n.executor.local.LocalTaskHandler - Launch cmd line: /bin/bash -ue .command.run +Oct-21 11:51:42.795 [Task submitter] INFO nextflow.Session - [c3/a23e1f] Submitted process > EXPORT_LOCUSBREAKER (3) +Oct-21 11:52:02.608 [Task monitor] DEBUG n.processor.TaskPollingMonitor - Task completed > TaskHandler[id: 1; name: EXPORT_LOCUSBREAKER (1); status: COMPLETED; exit: 1; error: -; workDir: /group/soranzo/bruno.ariano/TileDB-sumstat/work/58/d0e93a9191a5129e1fde27e133d109] +Oct-21 11:52:02.610 [Task monitor] DEBUG nextflow.util.ThreadPoolBuilder - Creating thread pool 'TaskFinalizer' minSize=10; maxSize=120; workQueue=LinkedBlockingQueue[-1]; allowCoreThreadTimeout=false +Oct-21 11:52:02.614 [Task monitor] DEBUG n.processor.TaskPollingMonitor - Task completed > TaskHandler[id: 2; name: EXPORT_LOCUSBREAKER (2); status: COMPLETED; exit: 1; error: -; workDir: /group/soranzo/bruno.ariano/TileDB-sumstat/work/d6/6cb8b92334c24270e2a190275f3b20] +Oct-21 11:52:02.621 [TaskFinalizer-2] DEBUG nextflow.processor.TaskProcessor - Handling unexpected condition for + task: name=EXPORT_LOCUSBREAKER (2); work-dir=/group/soranzo/bruno.ariano/TileDB-sumstat/work/d6/6cb8b92334c24270e2a190275f3b20 + error [nextflow.exception.ProcessFailedException]: Process `EXPORT_LOCUSBREAKER (2)` terminated with an error exit status (1) +Oct-21 11:52:02.642 [TaskFinalizer-2] ERROR nextflow.processor.TaskProcessor - Error executing process > 'EXPORT_LOCUSBREAKER (2)' + +Caused by: + Process `EXPORT_LOCUSBREAKER (2)` terminated with an error exit status (1) + + +Command executed: + + scqtl export --table-lb locusbreaker_test_table.2.csv --tiledb-path /group/soranzo/bruno.ariano/TileDB-sumstat/example_data/TileDB_test --out out --maf-lb 0.001 --type-sumstat qtl --hole-lb 250000 --locus-max-size-lb 2000000 --locusbreaker --batch-name-lb 2 + +Command exit status: + 1 + +Command output: + (empty) + +Command error: + Traceback (most recent call last): + File "/ssu/gassu/conda_envs/scqtl/bin/scqtl", line 8, in + sys.exit(main()) + ^^^^^^ + File "/group/soranzo/bruno.ariano/TileDB-sumstat/scqtl/main.py", line 22, in main + cli_init(obj={}) + File "/ssu/gassu/conda_envs/scqtl/lib/python3.12/site-packages/click/core.py", line 1442, in __call__ + return self.main(*args, **kwargs) + ^^^^^^^^^^^^^^^^^^^^^^^^^^ + File "/ssu/gassu/conda_envs/scqtl/lib/python3.12/site-packages/click/core.py", line 1363, in main + rv = self.invoke(ctx) + ^^^^^^^^^^^^^^^^ + File "/ssu/gassu/conda_envs/scqtl/lib/python3.12/site-packages/click/core.py", line 1830, in invoke + return _process_result(sub_ctx.command.invoke(sub_ctx)) + ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^ + File "/ssu/gassu/conda_envs/scqtl/lib/python3.12/site-packages/click/core.py", line 1226, in invoke + return ctx.invoke(self.callback, **ctx.params) + ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^ + File "/ssu/gassu/conda_envs/scqtl/lib/python3.12/site-packages/click/core.py", line 794, in invoke + return callback(*args, **kwargs) + ^^^^^^^^^^^^^^^^^^^^^^^^^ + File "/ssu/gassu/conda_envs/scqtl/lib/python3.12/site-packages/click/decorators.py", line 34, in new_func + return f(get_current_context(), *args, **kwargs) + ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^ + File "/group/soranzo/bruno.ariano/TileDB-sumstat/scqtl/cli/export.py", line 88, in export + if not trait: + ^^^^^ + UnboundLocalError: cannot access local variable 'trait' where it is not associated with a value + +Work dir: + /group/soranzo/bruno.ariano/TileDB-sumstat/work/d6/6cb8b92334c24270e2a190275f3b20 + +Tip: when you have fixed the problem you can continue the execution adding the option `-resume` to the run command line +Oct-21 11:52:02.644 [TaskFinalizer-1] DEBUG nextflow.processor.TaskProcessor - Handling unexpected condition for + task: name=EXPORT_LOCUSBREAKER (1); work-dir=/group/soranzo/bruno.ariano/TileDB-sumstat/work/58/d0e93a9191a5129e1fde27e133d109 + error [nextflow.exception.ProcessFailedException]: Process `EXPORT_LOCUSBREAKER (1)` terminated with an error exit status (1) +Oct-21 11:52:02.658 [TaskFinalizer-2] INFO nextflow.Session - Execution cancelled -- Finishing pending tasks before exit +Oct-21 11:52:02.664 [main] DEBUG nextflow.Session - Session await > all processes finished +Oct-21 11:52:02.764 [Task monitor] DEBUG n.processor.TaskPollingMonitor - Task completed > TaskHandler[id: 3; name: EXPORT_LOCUSBREAKER (3); status: COMPLETED; exit: 1; error: -; workDir: /group/soranzo/bruno.ariano/TileDB-sumstat/work/c3/a23e1fd10b5e2f46a3c9e9ce37e848] +Oct-21 11:52:02.764 [Task monitor] DEBUG n.processor.TaskPollingMonitor - <<< barrier arrives (monitor: local) - terminating tasks monitor poll loop +Oct-21 11:52:02.765 [main] DEBUG nextflow.Session - Session await > all barriers passed +Oct-21 11:52:02.767 [TaskFinalizer-3] DEBUG nextflow.processor.TaskProcessor - Handling unexpected condition for + task: name=EXPORT_LOCUSBREAKER (3); work-dir=/group/soranzo/bruno.ariano/TileDB-sumstat/work/c3/a23e1fd10b5e2f46a3c9e9ce37e848 + error [nextflow.exception.ProcessFailedException]: Process `EXPORT_LOCUSBREAKER (3)` terminated with an error exit status (1) +Oct-21 11:52:02.772 [main] DEBUG nextflow.util.ThreadPoolManager - Thread pool 'TaskFinalizer' shutdown completed (hard=false) +Oct-21 11:52:02.776 [main] DEBUG n.trace.WorkflowStatsObserver - Workflow completed > WorkflowStats[succeededCount=0; failedCount=3; ignoredCount=0; cachedCount=0; pendingCount=0; submittedCount=0; runningCount=0; retriesCount=0; abortedCount=0; succeedDuration=0ms; failedDuration=5m 56s; cachedDuration=0ms;loadCpus=0; loadMemory=0; peakRunning=3; peakCpus=18; peakMemory=90 GB; ] +Oct-21 11:52:02.776 [main] DEBUG nextflow.trace.TraceFileObserver - Workflow completed -- saving trace file +Oct-21 11:52:02.779 [main] DEBUG nextflow.trace.ReportObserver - Workflow completed -- rendering execution report +Oct-21 11:52:03.279 [main] DEBUG nextflow.trace.TimelineObserver - Workflow completed -- rendering execution timeline +Oct-21 11:52:03.466 [main] DEBUG nextflow.cache.CacheDB - Closing CacheDB done +Oct-21 11:52:03.494 [main] DEBUG nextflow.util.ThreadPoolManager - Thread pool 'FileTransfer' shutdown completed (hard=false) +Oct-21 11:52:03.495 [main] DEBUG nextflow.script.ScriptRunner - > Execution complete -- Goodbye diff --git a/.nextflow.log.6 b/.nextflow.log.6 new file mode 100644 index 0000000..28ea7e9 --- /dev/null +++ b/.nextflow.log.6 @@ -0,0 +1,139 @@ +Oct-21 11:49:56.383 [main] DEBUG nextflow.cli.Launcher - $> nextflow run main.nf -profile conda,test_export_lb +Oct-21 11:49:56.536 [main] DEBUG nextflow.cli.CmdRun - N E X T F L O W ~ version 25.04.3 +Oct-21 11:49:56.557 [main] DEBUG nextflow.plugin.PluginsFacade - Setting up plugin manager > mode=prod; embedded=false; plugins-dir=/home/bruno.ariano/.nextflow/plugins; core-plugins: nf-amazon@2.15.0,nf-azure@1.16.0,nf-cloudcache@0.4.3,nf-codecommit@0.2.3,nf-console@1.2.1,nf-google@1.21.0,nf-k8s@1.0.0,nf-tower@1.11.3,nf-wave@1.12.1 +Oct-21 11:49:56.579 [main] INFO o.pf4j.DefaultPluginStatusProvider - Enabled plugins: [] +Oct-21 11:49:56.580 [main] INFO o.pf4j.DefaultPluginStatusProvider - Disabled plugins: [] +Oct-21 11:49:56.583 [main] INFO org.pf4j.DefaultPluginManager - PF4J version 3.12.0 in 'deployment' mode +Oct-21 11:49:56.595 [main] INFO org.pf4j.AbstractPluginManager - No plugins +Oct-21 11:49:56.629 [main] DEBUG nextflow.config.ConfigBuilder - Found config local: /group/soranzo/bruno.ariano/TileDB-sumstat/nextflow.config +Oct-21 11:49:56.632 [main] DEBUG nextflow.config.ConfigBuilder - Parsing config file: /group/soranzo/bruno.ariano/TileDB-sumstat/nextflow.config +Oct-21 11:49:56.663 [main] DEBUG n.secret.LocalSecretsProvider - Secrets store: /home/bruno.ariano/.nextflow/secrets/store.json +Oct-21 11:49:56.666 [main] DEBUG nextflow.secret.SecretsLoader - Discovered secrets providers: [nextflow.secret.LocalSecretsProvider@5c41d037] - activable => nextflow.secret.LocalSecretsProvider@5c41d037 +Oct-21 11:49:56.672 [main] DEBUG nextflow.config.ConfigBuilder - Applying config profile: `conda,test_export_lb` +Oct-21 11:49:57.389 [main] DEBUG nextflow.config.ConfigBuilder - Available config profiles: [shifter, test, mamba, charliecloud, apptainer, conda, test_export_lb, singularity, wave, docker, podman] +Oct-21 11:49:57.421 [main] DEBUG nextflow.cli.CmdRun - Applied DSL=2 by global default +Oct-21 11:49:57.435 [main] DEBUG nextflow.cli.CmdRun - Launching `main.nf` [cheeky_miescher] DSL2 - revision: 1309f0cb95 +Oct-21 11:49:57.436 [main] DEBUG nextflow.plugin.PluginsFacade - Plugins default=[] +Oct-21 11:49:57.437 [main] DEBUG nextflow.plugin.PluginsFacade - Plugins resolved requirement=[] +Oct-21 11:49:57.481 [main] DEBUG nextflow.Session - Session UUID: 555f2666-ef80-406e-802e-206724685193 +Oct-21 11:49:57.481 [main] DEBUG nextflow.Session - Run name: cheeky_miescher +Oct-21 11:49:57.482 [main] DEBUG nextflow.Session - Executor pool size: 40 +Oct-21 11:49:57.489 [main] DEBUG nextflow.file.FilePorter - File porter settings maxRetries=3; maxTransfers=50; pollTimeout=null +Oct-21 11:49:57.494 [main] DEBUG nextflow.util.ThreadPoolBuilder - Creating thread pool 'FileTransfer' minSize=10; maxSize=120; workQueue=LinkedBlockingQueue[-1]; allowCoreThreadTimeout=false +Oct-21 11:49:57.520 [main] DEBUG nextflow.cli.CmdRun - + Version: 25.04.3 build 5949 + Created: 02-06-2025 20:56 UTC (22:56 CEST) + System: Linux 4.18.0-477.10.1.el8_8.x86_64 + Runtime: Groovy 4.0.26 on OpenJDK 64-Bit Server VM 17.0.8.1+1 + Encoding: UTF-8 (UTF-8) + Process: 1487463@hnode02 [192.168.104.253] + CPUs: 40 - Mem: 375.9 GB (12.5 GB) - Swap: 64 GB (59.2 GB) +Oct-21 11:49:57.551 [main] DEBUG nextflow.Session - Work-dir: /group/soranzo/bruno.ariano/TileDB-sumstat/work [nfs] +Oct-21 11:49:57.552 [main] DEBUG nextflow.Session - Script base path does not exist or is not a directory: /group/soranzo/bruno.ariano/TileDB-sumstat/bin +Oct-21 11:49:57.561 [main] DEBUG nextflow.executor.ExecutorFactory - Extension executors providers=[] +Oct-21 11:49:57.569 [main] DEBUG nextflow.Session - Observer factory: DefaultObserverFactory +Oct-21 11:49:57.597 [main] DEBUG nextflow.Session - Observer factory (v2): LinObserverFactory +Oct-21 11:49:57.620 [main] DEBUG nextflow.cache.CacheFactory - Using Nextflow cache factory: nextflow.cache.DefaultCacheFactory +Oct-21 11:49:57.628 [main] DEBUG nextflow.util.CustomThreadPool - Creating default thread pool > poolSize: 41; maxThreads: 1000 +Oct-21 11:49:57.716 [main] DEBUG nextflow.Session - Session start +Oct-21 11:49:57.720 [main] DEBUG nextflow.trace.TraceFileObserver - Workflow started -- trace file: /group/soranzo/bruno.ariano/TileDB-sumstat/results/pipeline_info/execution_trace_2025-10-21_11-49-57.txt +Oct-21 11:49:57.897 [main] DEBUG nextflow.script.ScriptRunner - > Launching execution +Oct-21 11:49:58.350 [main] DEBUG nextflow.script.ProcessConfig - Config settings `withLabel:process_multi` matches labels `process_multi` for process with name EXPORT_LOCUSBREAKER +Oct-21 11:49:58.360 [main] DEBUG nextflow.executor.ExecutorFactory - << taskConfig executor: null +Oct-21 11:49:58.360 [main] DEBUG nextflow.executor.ExecutorFactory - >> processorType: 'local' +Oct-21 11:49:58.367 [main] DEBUG nextflow.executor.Executor - [warm up] executor > local +Oct-21 11:49:58.373 [main] DEBUG n.processor.LocalPollingMonitor - Creating local task monitor for executor 'local' > cpus=40; memory=375.9 GB; capacity=40; pollInterval=100ms; dumpInterval=5m +Oct-21 11:49:58.375 [main] DEBUG n.processor.TaskPollingMonitor - >>> barrier register (monitor: local) +Oct-21 11:49:58.397 [main] DEBUG nextflow.processor.TaskProcessor - Creating process 'EXPORT_LOCUSBREAKER': maxForks=0; fair=false; array=0 +Oct-21 11:49:58.429 [main] DEBUG nextflow.Session - Workflow process names [dsl2]: EXPORT_LOCUSBREAKER, MERGE_METADATA, EXPORT_REGIONS, INGEST_DATA, CREATE_TILEDB +Oct-21 11:49:58.431 [main] DEBUG nextflow.Session - Igniting dataflow network (2) +Oct-21 11:49:58.436 [main] DEBUG nextflow.processor.TaskProcessor - Starting process > EXPORT_LOCUSBREAKER +Oct-21 11:49:58.437 [main] DEBUG nextflow.script.ScriptRunner - Parsed script files: + Script_7b14281b3e71c830: /group/soranzo/bruno.ariano/TileDB-sumstat/modules/merge_metadata/main.nf + Script_f79ff21670d5e55f: /group/soranzo/bruno.ariano/TileDB-sumstat/modules/regions/main.nf + Script_25f7cc05cc930eea: /group/soranzo/bruno.ariano/TileDB-sumstat/modules/locusbreaker/main.nf + Script_fa94f925e889eb3d: /group/soranzo/bruno.ariano/TileDB-sumstat/modules/create_tiledb/main.nf + Script_9642d9956a1c233a: /group/soranzo/bruno.ariano/TileDB-sumstat/modules/ingestion/main.nf + Script_d23e1daa06b1131d: /group/soranzo/bruno.ariano/TileDB-sumstat/main.nf +Oct-21 11:49:58.437 [main] DEBUG nextflow.script.ScriptRunner - > Awaiting termination +Oct-21 11:49:58.438 [main] DEBUG nextflow.Session - Session await +Oct-21 11:49:58.452 [Actor Thread 6] DEBUG n.splitter.AbstractTextSplitter - Splitter `Text` collector path: nextflow.splitter.TextFileCollector$CachePath(/group/soranzo/bruno.ariano/TileDB-sumstat/work/6d/bf9c53f1f39f883d0c65894925d735/locusbreaker_test_table.csv, null) +Oct-21 11:49:58.582 [Actor Thread 21] DEBUG nextflow.conda.CondaCache - conda found local env for environment=/ssu/gassu/conda_envs/scqtl; path=/ssu/gassu/conda_envs/scqtl +Oct-21 11:49:58.664 [Task submitter] DEBUG n.executor.local.LocalTaskHandler - Launch cmd line: /bin/bash -ue .command.run +Oct-21 11:49:58.666 [Task submitter] INFO nextflow.Session - [78/1fb5d3] Submitted process > EXPORT_LOCUSBREAKER (2) +Oct-21 11:49:58.684 [Task submitter] DEBUG n.executor.local.LocalTaskHandler - Launch cmd line: /bin/bash -ue .command.run +Oct-21 11:49:58.685 [Task submitter] INFO nextflow.Session - [9f/300257] Submitted process > EXPORT_LOCUSBREAKER (3) +Oct-21 11:49:58.699 [Task submitter] DEBUG n.executor.local.LocalTaskHandler - Launch cmd line: /bin/bash -ue .command.run +Oct-21 11:49:58.700 [Task submitter] INFO nextflow.Session - [61/482042] Submitted process > EXPORT_LOCUSBREAKER (1) +Oct-21 11:50:16.552 [Task monitor] DEBUG n.processor.TaskPollingMonitor - Task completed > TaskHandler[id: 2; name: EXPORT_LOCUSBREAKER (2); status: COMPLETED; exit: 1; error: -; workDir: /group/soranzo/bruno.ariano/TileDB-sumstat/work/78/1fb5d3c49b69212dd4472992a560f1] +Oct-21 11:50:16.556 [Task monitor] DEBUG nextflow.util.ThreadPoolBuilder - Creating thread pool 'TaskFinalizer' minSize=10; maxSize=120; workQueue=LinkedBlockingQueue[-1]; allowCoreThreadTimeout=false +Oct-21 11:50:16.566 [TaskFinalizer-1] DEBUG nextflow.processor.TaskProcessor - Handling unexpected condition for + task: name=EXPORT_LOCUSBREAKER (2); work-dir=/group/soranzo/bruno.ariano/TileDB-sumstat/work/78/1fb5d3c49b69212dd4472992a560f1 + error [nextflow.exception.ProcessFailedException]: Process `EXPORT_LOCUSBREAKER (2)` terminated with an error exit status (1) +Oct-21 11:50:16.580 [Task monitor] DEBUG n.processor.TaskPollingMonitor - Task completed > TaskHandler[id: 1; name: EXPORT_LOCUSBREAKER (1); status: COMPLETED; exit: 1; error: -; workDir: /group/soranzo/bruno.ariano/TileDB-sumstat/work/61/48204214659220d24c8aebbb81e950] +Oct-21 11:50:16.587 [TaskFinalizer-1] ERROR nextflow.processor.TaskProcessor - Error executing process > 'EXPORT_LOCUSBREAKER (2)' + +Caused by: + Process `EXPORT_LOCUSBREAKER (2)` terminated with an error exit status (1) + + +Command executed: + + scqtl export --table-lb locusbreaker_test_table.2.csv --tiledb-path /group/soranzo/bruno.ariano/TileDB-sumstat/example_data/TileDB_test --out out --maf-lb 0.001 --type-sumstat qtl --hole-lb 250000 --locus-max-size-lb 2000000 --locusbreaker --batch-name-lb 2 + +Command exit status: + 1 + +Command output: + (empty) + +Command error: + Traceback (most recent call last): + File "/ssu/gassu/conda_envs/scqtl/bin/scqtl", line 8, in + sys.exit(main()) + ^^^^^^ + File "/group/soranzo/bruno.ariano/TileDB-sumstat/scqtl/main.py", line 22, in main + cli_init(obj={}) + File "/ssu/gassu/conda_envs/scqtl/lib/python3.12/site-packages/click/core.py", line 1442, in __call__ + return self.main(*args, **kwargs) + ^^^^^^^^^^^^^^^^^^^^^^^^^^ + File "/ssu/gassu/conda_envs/scqtl/lib/python3.12/site-packages/click/core.py", line 1363, in main + rv = self.invoke(ctx) + ^^^^^^^^^^^^^^^^ + File "/ssu/gassu/conda_envs/scqtl/lib/python3.12/site-packages/click/core.py", line 1830, in invoke + return _process_result(sub_ctx.command.invoke(sub_ctx)) + ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^ + File "/ssu/gassu/conda_envs/scqtl/lib/python3.12/site-packages/click/core.py", line 1226, in invoke + return ctx.invoke(self.callback, **ctx.params) + ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^ + File "/ssu/gassu/conda_envs/scqtl/lib/python3.12/site-packages/click/core.py", line 794, in invoke + return callback(*args, **kwargs) + ^^^^^^^^^^^^^^^^^^^^^^^^^ + File "/ssu/gassu/conda_envs/scqtl/lib/python3.12/site-packages/click/decorators.py", line 34, in new_func + return f(get_current_context(), *args, **kwargs) + ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^ + TypeError: export() missing 1 required positional argument: 'trait' + +Work dir: + /group/soranzo/bruno.ariano/TileDB-sumstat/work/78/1fb5d3c49b69212dd4472992a560f1 + +Tip: view the complete command output by changing to the process work dir and entering the command `cat .command.out` +Oct-21 11:50:16.588 [TaskFinalizer-2] DEBUG nextflow.processor.TaskProcessor - Handling unexpected condition for + task: name=EXPORT_LOCUSBREAKER (1); work-dir=/group/soranzo/bruno.ariano/TileDB-sumstat/work/61/48204214659220d24c8aebbb81e950 + error [nextflow.exception.ProcessFailedException]: Process `EXPORT_LOCUSBREAKER (1)` terminated with an error exit status (1) +Oct-21 11:50:16.601 [TaskFinalizer-1] INFO nextflow.Session - Execution cancelled -- Finishing pending tasks before exit +Oct-21 11:50:16.607 [main] DEBUG nextflow.Session - Session await > all processes finished +Oct-21 11:50:16.797 [Task monitor] DEBUG n.processor.TaskPollingMonitor - Task completed > TaskHandler[id: 3; name: EXPORT_LOCUSBREAKER (3); status: COMPLETED; exit: 1; error: -; workDir: /group/soranzo/bruno.ariano/TileDB-sumstat/work/9f/300257047dc0af879b9c8d09fa5cd9] +Oct-21 11:50:16.798 [Task monitor] DEBUG n.processor.TaskPollingMonitor - <<< barrier arrives (monitor: local) - terminating tasks monitor poll loop +Oct-21 11:50:16.799 [main] DEBUG nextflow.Session - Session await > all barriers passed +Oct-21 11:50:16.801 [TaskFinalizer-3] DEBUG nextflow.processor.TaskProcessor - Handling unexpected condition for + task: name=EXPORT_LOCUSBREAKER (3); work-dir=/group/soranzo/bruno.ariano/TileDB-sumstat/work/9f/300257047dc0af879b9c8d09fa5cd9 + error [nextflow.exception.ProcessFailedException]: Process `EXPORT_LOCUSBREAKER (3)` terminated with an error exit status (1) +Oct-21 11:50:16.805 [main] DEBUG nextflow.util.ThreadPoolManager - Thread pool 'TaskFinalizer' shutdown completed (hard=false) +Oct-21 11:50:16.810 [main] DEBUG n.trace.WorkflowStatsObserver - Workflow completed > WorkflowStats[succeededCount=0; failedCount=3; ignoredCount=0; cachedCount=0; pendingCount=0; submittedCount=0; runningCount=0; retriesCount=0; abortedCount=0; succeedDuration=0ms; failedDuration=5m 22s; cachedDuration=0ms;loadCpus=0; loadMemory=0; peakRunning=3; peakCpus=18; peakMemory=90 GB; ] +Oct-21 11:50:16.810 [main] DEBUG nextflow.trace.TraceFileObserver - Workflow completed -- saving trace file +Oct-21 11:50:16.813 [main] DEBUG nextflow.trace.ReportObserver - Workflow completed -- rendering execution report +Oct-21 11:50:17.296 [main] DEBUG nextflow.trace.TimelineObserver - Workflow completed -- rendering execution timeline +Oct-21 11:50:17.411 [main] DEBUG nextflow.cache.CacheDB - Closing CacheDB done +Oct-21 11:50:17.439 [main] DEBUG nextflow.util.ThreadPoolManager - Thread pool 'FileTransfer' shutdown completed (hard=false) +Oct-21 11:50:17.440 [main] DEBUG nextflow.script.ScriptRunner - > Execution complete -- Goodbye diff --git a/.nextflow.log.7 b/.nextflow.log.7 new file mode 100644 index 0000000..d2b38ce --- /dev/null +++ b/.nextflow.log.7 @@ -0,0 +1,139 @@ +Oct-21 11:47:42.767 [main] DEBUG nextflow.cli.Launcher - $> nextflow run main.nf -profile conda,test_export_lb +Oct-21 11:47:42.917 [main] DEBUG nextflow.cli.CmdRun - N E X T F L O W ~ version 25.04.3 +Oct-21 11:47:42.939 [main] DEBUG nextflow.plugin.PluginsFacade - Setting up plugin manager > mode=prod; embedded=false; plugins-dir=/home/bruno.ariano/.nextflow/plugins; core-plugins: nf-amazon@2.15.0,nf-azure@1.16.0,nf-cloudcache@0.4.3,nf-codecommit@0.2.3,nf-console@1.2.1,nf-google@1.21.0,nf-k8s@1.0.0,nf-tower@1.11.3,nf-wave@1.12.1 +Oct-21 11:47:42.961 [main] INFO o.pf4j.DefaultPluginStatusProvider - Enabled plugins: [] +Oct-21 11:47:42.962 [main] INFO o.pf4j.DefaultPluginStatusProvider - Disabled plugins: [] +Oct-21 11:47:42.965 [main] INFO org.pf4j.DefaultPluginManager - PF4J version 3.12.0 in 'deployment' mode +Oct-21 11:47:42.976 [main] INFO org.pf4j.AbstractPluginManager - No plugins +Oct-21 11:47:43.010 [main] DEBUG nextflow.config.ConfigBuilder - Found config local: /group/soranzo/bruno.ariano/TileDB-sumstat/nextflow.config +Oct-21 11:47:43.013 [main] DEBUG nextflow.config.ConfigBuilder - Parsing config file: /group/soranzo/bruno.ariano/TileDB-sumstat/nextflow.config +Oct-21 11:47:43.044 [main] DEBUG n.secret.LocalSecretsProvider - Secrets store: /home/bruno.ariano/.nextflow/secrets/store.json +Oct-21 11:47:43.047 [main] DEBUG nextflow.secret.SecretsLoader - Discovered secrets providers: [nextflow.secret.LocalSecretsProvider@5c41d037] - activable => nextflow.secret.LocalSecretsProvider@5c41d037 +Oct-21 11:47:43.052 [main] DEBUG nextflow.config.ConfigBuilder - Applying config profile: `conda,test_export_lb` +Oct-21 11:47:43.780 [main] DEBUG nextflow.config.ConfigBuilder - Available config profiles: [shifter, test, mamba, charliecloud, apptainer, conda, test_export_lb, singularity, wave, docker, podman] +Oct-21 11:47:43.811 [main] DEBUG nextflow.cli.CmdRun - Applied DSL=2 by global default +Oct-21 11:47:43.826 [main] DEBUG nextflow.cli.CmdRun - Launching `main.nf` [ecstatic_wozniak] DSL2 - revision: 1309f0cb95 +Oct-21 11:47:43.828 [main] DEBUG nextflow.plugin.PluginsFacade - Plugins default=[] +Oct-21 11:47:43.828 [main] DEBUG nextflow.plugin.PluginsFacade - Plugins resolved requirement=[] +Oct-21 11:47:43.873 [main] DEBUG nextflow.Session - Session UUID: cba45791-b79e-41ab-a056-7436c22c8460 +Oct-21 11:47:43.873 [main] DEBUG nextflow.Session - Run name: ecstatic_wozniak +Oct-21 11:47:43.874 [main] DEBUG nextflow.Session - Executor pool size: 40 +Oct-21 11:47:43.881 [main] DEBUG nextflow.file.FilePorter - File porter settings maxRetries=3; maxTransfers=50; pollTimeout=null +Oct-21 11:47:43.886 [main] DEBUG nextflow.util.ThreadPoolBuilder - Creating thread pool 'FileTransfer' minSize=10; maxSize=120; workQueue=LinkedBlockingQueue[-1]; allowCoreThreadTimeout=false +Oct-21 11:47:43.911 [main] DEBUG nextflow.cli.CmdRun - + Version: 25.04.3 build 5949 + Created: 02-06-2025 20:56 UTC (22:56 CEST) + System: Linux 4.18.0-477.10.1.el8_8.x86_64 + Runtime: Groovy 4.0.26 on OpenJDK 64-Bit Server VM 17.0.8.1+1 + Encoding: UTF-8 (UTF-8) + Process: 1477586@hnode02 [192.168.104.253] + CPUs: 40 - Mem: 375.9 GB (12.6 GB) - Swap: 64 GB (59.2 GB) +Oct-21 11:47:43.942 [main] DEBUG nextflow.Session - Work-dir: /group/soranzo/bruno.ariano/TileDB-sumstat/work [nfs] +Oct-21 11:47:43.943 [main] DEBUG nextflow.Session - Script base path does not exist or is not a directory: /group/soranzo/bruno.ariano/TileDB-sumstat/bin +Oct-21 11:47:43.952 [main] DEBUG nextflow.executor.ExecutorFactory - Extension executors providers=[] +Oct-21 11:47:43.961 [main] DEBUG nextflow.Session - Observer factory: DefaultObserverFactory +Oct-21 11:47:43.991 [main] DEBUG nextflow.Session - Observer factory (v2): LinObserverFactory +Oct-21 11:47:44.016 [main] DEBUG nextflow.cache.CacheFactory - Using Nextflow cache factory: nextflow.cache.DefaultCacheFactory +Oct-21 11:47:44.024 [main] DEBUG nextflow.util.CustomThreadPool - Creating default thread pool > poolSize: 41; maxThreads: 1000 +Oct-21 11:47:44.154 [main] DEBUG nextflow.Session - Session start +Oct-21 11:47:44.158 [main] DEBUG nextflow.trace.TraceFileObserver - Workflow started -- trace file: /group/soranzo/bruno.ariano/TileDB-sumstat/results/pipeline_info/execution_trace_2025-10-21_11-47-43.txt +Oct-21 11:47:44.335 [main] DEBUG nextflow.script.ScriptRunner - > Launching execution +Oct-21 11:47:44.777 [main] DEBUG nextflow.script.ProcessConfig - Config settings `withLabel:process_multi` matches labels `process_multi` for process with name EXPORT_LOCUSBREAKER +Oct-21 11:47:44.786 [main] DEBUG nextflow.executor.ExecutorFactory - << taskConfig executor: null +Oct-21 11:47:44.786 [main] DEBUG nextflow.executor.ExecutorFactory - >> processorType: 'local' +Oct-21 11:47:44.792 [main] DEBUG nextflow.executor.Executor - [warm up] executor > local +Oct-21 11:47:44.798 [main] DEBUG n.processor.LocalPollingMonitor - Creating local task monitor for executor 'local' > cpus=40; memory=375.9 GB; capacity=40; pollInterval=100ms; dumpInterval=5m +Oct-21 11:47:44.800 [main] DEBUG n.processor.TaskPollingMonitor - >>> barrier register (monitor: local) +Oct-21 11:47:44.820 [main] DEBUG nextflow.processor.TaskProcessor - Creating process 'EXPORT_LOCUSBREAKER': maxForks=0; fair=false; array=0 +Oct-21 11:47:44.849 [main] DEBUG nextflow.Session - Workflow process names [dsl2]: EXPORT_LOCUSBREAKER, MERGE_METADATA, EXPORT_REGIONS, INGEST_DATA, CREATE_TILEDB +Oct-21 11:47:44.851 [main] DEBUG nextflow.Session - Igniting dataflow network (2) +Oct-21 11:47:44.856 [main] DEBUG nextflow.processor.TaskProcessor - Starting process > EXPORT_LOCUSBREAKER +Oct-21 11:47:44.857 [main] DEBUG nextflow.script.ScriptRunner - Parsed script files: + Script_7b14281b3e71c830: /group/soranzo/bruno.ariano/TileDB-sumstat/modules/merge_metadata/main.nf + Script_f79ff21670d5e55f: /group/soranzo/bruno.ariano/TileDB-sumstat/modules/regions/main.nf + Script_25f7cc05cc930eea: /group/soranzo/bruno.ariano/TileDB-sumstat/modules/locusbreaker/main.nf + Script_fa94f925e889eb3d: /group/soranzo/bruno.ariano/TileDB-sumstat/modules/create_tiledb/main.nf + Script_9642d9956a1c233a: /group/soranzo/bruno.ariano/TileDB-sumstat/modules/ingestion/main.nf + Script_d23e1daa06b1131d: /group/soranzo/bruno.ariano/TileDB-sumstat/main.nf +Oct-21 11:47:44.858 [main] DEBUG nextflow.script.ScriptRunner - > Awaiting termination +Oct-21 11:47:44.858 [main] DEBUG nextflow.Session - Session await +Oct-21 11:47:44.873 [Actor Thread 6] DEBUG n.splitter.AbstractTextSplitter - Splitter `Text` collector path: nextflow.splitter.TextFileCollector$CachePath(/group/soranzo/bruno.ariano/TileDB-sumstat/work/c0/aac28042c69a4e12d3bf2cd68b06e7/locusbreaker_test_table.csv, null) +Oct-21 11:47:45.007 [Actor Thread 21] DEBUG nextflow.conda.CondaCache - conda found local env for environment=/ssu/gassu/conda_envs/scqtl; path=/ssu/gassu/conda_envs/scqtl +Oct-21 11:47:45.094 [Task submitter] DEBUG n.executor.local.LocalTaskHandler - Launch cmd line: /bin/bash -ue .command.run +Oct-21 11:47:45.096 [Task submitter] INFO nextflow.Session - [de/df96b5] Submitted process > EXPORT_LOCUSBREAKER (1) +Oct-21 11:47:45.116 [Task submitter] DEBUG n.executor.local.LocalTaskHandler - Launch cmd line: /bin/bash -ue .command.run +Oct-21 11:47:45.116 [Task submitter] INFO nextflow.Session - [4c/ae50eb] Submitted process > EXPORT_LOCUSBREAKER (3) +Oct-21 11:47:45.132 [Task submitter] DEBUG n.executor.local.LocalTaskHandler - Launch cmd line: /bin/bash -ue .command.run +Oct-21 11:47:45.133 [Task submitter] INFO nextflow.Session - [37/2e2e38] Submitted process > EXPORT_LOCUSBREAKER (2) +Oct-21 11:48:03.448 [Task monitor] DEBUG n.processor.TaskPollingMonitor - Task completed > TaskHandler[id: 1; name: EXPORT_LOCUSBREAKER (1); status: COMPLETED; exit: 1; error: -; workDir: /group/soranzo/bruno.ariano/TileDB-sumstat/work/de/df96b576f53ae7e7dd2dae7f313d5f] +Oct-21 11:48:03.449 [Task monitor] DEBUG nextflow.util.ThreadPoolBuilder - Creating thread pool 'TaskFinalizer' minSize=10; maxSize=120; workQueue=LinkedBlockingQueue[-1]; allowCoreThreadTimeout=false +Oct-21 11:48:03.459 [TaskFinalizer-1] DEBUG nextflow.processor.TaskProcessor - Handling unexpected condition for + task: name=EXPORT_LOCUSBREAKER (1); work-dir=/group/soranzo/bruno.ariano/TileDB-sumstat/work/de/df96b576f53ae7e7dd2dae7f313d5f + error [nextflow.exception.ProcessFailedException]: Process `EXPORT_LOCUSBREAKER (1)` terminated with an error exit status (1) +Oct-21 11:48:03.479 [TaskFinalizer-1] ERROR nextflow.processor.TaskProcessor - Error executing process > 'EXPORT_LOCUSBREAKER (1)' + +Caused by: + Process `EXPORT_LOCUSBREAKER (1)` terminated with an error exit status (1) + + +Command executed: + + scqtl export --table-lb locusbreaker_test_table.1.csv --tiledb-path /group/soranzo/bruno.ariano/TileDB-sumstat/example_data/TileDB_test --out out --maf-lb 0.001 --type-sumstat qtl --hole-lb 250000 --locus-max-size-lb 2000000 --locusbreaker --batch-name-lb 1 + +Command exit status: + 1 + +Command output: + (empty) + +Command error: + Traceback (most recent call last): + File "/ssu/gassu/conda_envs/scqtl/bin/scqtl", line 8, in + sys.exit(main()) + ^^^^^^ + File "/group/soranzo/bruno.ariano/TileDB-sumstat/scqtl/main.py", line 22, in main + cli_init(obj={}) + File "/ssu/gassu/conda_envs/scqtl/lib/python3.12/site-packages/click/core.py", line 1442, in __call__ + return self.main(*args, **kwargs) + ^^^^^^^^^^^^^^^^^^^^^^^^^^ + File "/ssu/gassu/conda_envs/scqtl/lib/python3.12/site-packages/click/core.py", line 1363, in main + rv = self.invoke(ctx) + ^^^^^^^^^^^^^^^^ + File "/ssu/gassu/conda_envs/scqtl/lib/python3.12/site-packages/click/core.py", line 1830, in invoke + return _process_result(sub_ctx.command.invoke(sub_ctx)) + ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^ + File "/ssu/gassu/conda_envs/scqtl/lib/python3.12/site-packages/click/core.py", line 1226, in invoke + return ctx.invoke(self.callback, **ctx.params) + ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^ + File "/ssu/gassu/conda_envs/scqtl/lib/python3.12/site-packages/click/core.py", line 794, in invoke + return callback(*args, **kwargs) + ^^^^^^^^^^^^^^^^^^^^^^^^^ + File "/ssu/gassu/conda_envs/scqtl/lib/python3.12/site-packages/click/decorators.py", line 34, in new_func + return f(get_current_context(), *args, **kwargs) + ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^ + TypeError: export() missing 1 required positional argument: 'trait' + +Work dir: + /group/soranzo/bruno.ariano/TileDB-sumstat/work/de/df96b576f53ae7e7dd2dae7f313d5f + +Tip: you can try to figure out what's wrong by changing to the process work dir and showing the script file named `.command.sh` +Oct-21 11:48:03.493 [TaskFinalizer-1] INFO nextflow.Session - Execution cancelled -- Finishing pending tasks before exit +Oct-21 11:48:03.499 [main] DEBUG nextflow.Session - Session await > all processes finished +Oct-21 11:48:03.513 [Task monitor] DEBUG n.processor.TaskPollingMonitor - Task completed > TaskHandler[id: 2; name: EXPORT_LOCUSBREAKER (2); status: COMPLETED; exit: 1; error: -; workDir: /group/soranzo/bruno.ariano/TileDB-sumstat/work/37/2e2e382fedb0297c038269848a02b9] +Oct-21 11:48:03.517 [TaskFinalizer-2] DEBUG nextflow.processor.TaskProcessor - Handling unexpected condition for + task: name=EXPORT_LOCUSBREAKER (2); work-dir=/group/soranzo/bruno.ariano/TileDB-sumstat/work/37/2e2e382fedb0297c038269848a02b9 + error [nextflow.exception.ProcessFailedException]: Process `EXPORT_LOCUSBREAKER (2)` terminated with an error exit status (1) +Oct-21 11:48:03.726 [Task monitor] DEBUG n.processor.TaskPollingMonitor - Task completed > TaskHandler[id: 3; name: EXPORT_LOCUSBREAKER (3); status: COMPLETED; exit: 1; error: -; workDir: /group/soranzo/bruno.ariano/TileDB-sumstat/work/4c/ae50eb7bd1d9a25fa49b2f0d8fdc70] +Oct-21 11:48:03.727 [Task monitor] DEBUG n.processor.TaskPollingMonitor - <<< barrier arrives (monitor: local) - terminating tasks monitor poll loop +Oct-21 11:48:03.728 [main] DEBUG nextflow.Session - Session await > all barriers passed +Oct-21 11:48:03.729 [TaskFinalizer-3] DEBUG nextflow.processor.TaskProcessor - Handling unexpected condition for + task: name=EXPORT_LOCUSBREAKER (3); work-dir=/group/soranzo/bruno.ariano/TileDB-sumstat/work/4c/ae50eb7bd1d9a25fa49b2f0d8fdc70 + error [nextflow.exception.ProcessFailedException]: Process `EXPORT_LOCUSBREAKER (3)` terminated with an error exit status (1) +Oct-21 11:48:03.734 [main] DEBUG nextflow.util.ThreadPoolManager - Thread pool 'TaskFinalizer' shutdown completed (hard=false) +Oct-21 11:48:03.738 [main] DEBUG n.trace.WorkflowStatsObserver - Workflow completed > WorkflowStats[succeededCount=0; failedCount=3; ignoredCount=0; cachedCount=0; pendingCount=0; submittedCount=0; runningCount=0; retriesCount=0; abortedCount=0; succeedDuration=0ms; failedDuration=5m 31s; cachedDuration=0ms;loadCpus=0; loadMemory=0; peakRunning=3; peakCpus=18; peakMemory=90 GB; ] +Oct-21 11:48:03.738 [main] DEBUG nextflow.trace.TraceFileObserver - Workflow completed -- saving trace file +Oct-21 11:48:03.740 [main] DEBUG nextflow.trace.ReportObserver - Workflow completed -- rendering execution report +Oct-21 11:48:04.231 [main] DEBUG nextflow.trace.TimelineObserver - Workflow completed -- rendering execution timeline +Oct-21 11:48:04.512 [main] DEBUG nextflow.cache.CacheDB - Closing CacheDB done +Oct-21 11:48:04.539 [main] DEBUG nextflow.util.ThreadPoolManager - Thread pool 'FileTransfer' shutdown completed (hard=false) +Oct-21 11:48:04.540 [main] DEBUG nextflow.script.ScriptRunner - > Execution complete -- Goodbye diff --git a/.nextflow.log.8 b/.nextflow.log.8 new file mode 100644 index 0000000..35c8460 --- /dev/null +++ b/.nextflow.log.8 @@ -0,0 +1,118 @@ +Oct-21 11:47:00.476 [main] DEBUG nextflow.cli.Launcher - $> nextflow run main.nf -profile conda,test_export_lb +Oct-21 11:47:00.625 [main] DEBUG nextflow.cli.CmdRun - N E X T F L O W ~ version 25.04.3 +Oct-21 11:47:00.646 [main] DEBUG nextflow.plugin.PluginsFacade - Setting up plugin manager > mode=prod; embedded=false; plugins-dir=/home/bruno.ariano/.nextflow/plugins; core-plugins: nf-amazon@2.15.0,nf-azure@1.16.0,nf-cloudcache@0.4.3,nf-codecommit@0.2.3,nf-console@1.2.1,nf-google@1.21.0,nf-k8s@1.0.0,nf-tower@1.11.3,nf-wave@1.12.1 +Oct-21 11:47:00.668 [main] INFO o.pf4j.DefaultPluginStatusProvider - Enabled plugins: [] +Oct-21 11:47:00.669 [main] INFO o.pf4j.DefaultPluginStatusProvider - Disabled plugins: [] +Oct-21 11:47:00.672 [main] INFO org.pf4j.DefaultPluginManager - PF4J version 3.12.0 in 'deployment' mode +Oct-21 11:47:00.684 [main] INFO org.pf4j.AbstractPluginManager - No plugins +Oct-21 11:47:00.705 [main] DEBUG nextflow.config.ConfigBuilder - Found config local: /group/soranzo/bruno.ariano/TileDB-sumstat/nextflow.config +Oct-21 11:47:00.708 [main] DEBUG nextflow.config.ConfigBuilder - Parsing config file: /group/soranzo/bruno.ariano/TileDB-sumstat/nextflow.config +Oct-21 11:47:00.753 [main] DEBUG n.secret.LocalSecretsProvider - Secrets store: /home/bruno.ariano/.nextflow/secrets/store.json +Oct-21 11:47:00.756 [main] DEBUG nextflow.secret.SecretsLoader - Discovered secrets providers: [nextflow.secret.LocalSecretsProvider@5c41d037] - activable => nextflow.secret.LocalSecretsProvider@5c41d037 +Oct-21 11:47:00.763 [main] DEBUG nextflow.config.ConfigBuilder - Applying config profile: `conda,test_export_lb` +Oct-21 11:47:01.484 [main] DEBUG nextflow.config.ConfigBuilder - Available config profiles: [shifter, test, mamba, charliecloud, apptainer, conda, test_export_lb, singularity, wave, docker, podman] +Oct-21 11:47:01.517 [main] DEBUG nextflow.cli.CmdRun - Applied DSL=2 by global default +Oct-21 11:47:01.532 [main] DEBUG nextflow.cli.CmdRun - Launching `main.nf` [mad_goodall] DSL2 - revision: 1309f0cb95 +Oct-21 11:47:01.533 [main] DEBUG nextflow.plugin.PluginsFacade - Plugins default=[] +Oct-21 11:47:01.533 [main] DEBUG nextflow.plugin.PluginsFacade - Plugins resolved requirement=[] +Oct-21 11:47:01.578 [main] DEBUG nextflow.Session - Session UUID: 1c50b09b-76e6-4e4d-b9d8-c39ef76e1ed6 +Oct-21 11:47:01.579 [main] DEBUG nextflow.Session - Run name: mad_goodall +Oct-21 11:47:01.580 [main] DEBUG nextflow.Session - Executor pool size: 40 +Oct-21 11:47:01.587 [main] DEBUG nextflow.file.FilePorter - File porter settings maxRetries=3; maxTransfers=50; pollTimeout=null +Oct-21 11:47:01.591 [main] DEBUG nextflow.util.ThreadPoolBuilder - Creating thread pool 'FileTransfer' minSize=10; maxSize=120; workQueue=LinkedBlockingQueue[-1]; allowCoreThreadTimeout=false +Oct-21 11:47:01.618 [main] DEBUG nextflow.cli.CmdRun - + Version: 25.04.3 build 5949 + Created: 02-06-2025 20:56 UTC (22:56 CEST) + System: Linux 4.18.0-477.10.1.el8_8.x86_64 + Runtime: Groovy 4.0.26 on OpenJDK 64-Bit Server VM 17.0.8.1+1 + Encoding: UTF-8 (UTF-8) + Process: 1472630@hnode02 [192.168.104.253] + CPUs: 40 - Mem: 375.9 GB (12 GB) - Swap: 64 GB (59.2 GB) +Oct-21 11:47:01.710 [main] DEBUG nextflow.Session - Work-dir: /group/soranzo/bruno.ariano/TileDB-sumstat/work [nfs] +Oct-21 11:47:01.711 [main] DEBUG nextflow.Session - Script base path does not exist or is not a directory: /group/soranzo/bruno.ariano/TileDB-sumstat/bin +Oct-21 11:47:01.721 [main] DEBUG nextflow.executor.ExecutorFactory - Extension executors providers=[] +Oct-21 11:47:01.730 [main] DEBUG nextflow.Session - Observer factory: DefaultObserverFactory +Oct-21 11:47:01.760 [main] DEBUG nextflow.Session - Observer factory (v2): LinObserverFactory +Oct-21 11:47:01.784 [main] DEBUG nextflow.cache.CacheFactory - Using Nextflow cache factory: nextflow.cache.DefaultCacheFactory +Oct-21 11:47:01.792 [main] DEBUG nextflow.util.CustomThreadPool - Creating default thread pool > poolSize: 41; maxThreads: 1000 +Oct-21 11:47:02.001 [main] DEBUG nextflow.Session - Session start +Oct-21 11:47:02.005 [main] DEBUG nextflow.trace.TraceFileObserver - Workflow started -- trace file: /group/soranzo/bruno.ariano/TileDB-sumstat/results/pipeline_info/execution_trace_2025-10-21_11-47-01.txt +Oct-21 11:47:02.181 [main] DEBUG nextflow.script.ScriptRunner - > Launching execution +Oct-21 11:47:02.608 [main] DEBUG nextflow.script.ProcessConfig - Config settings `withLabel:process_multi` matches labels `process_multi` for process with name EXPORT_LOCUSBREAKER +Oct-21 11:47:02.616 [main] DEBUG nextflow.executor.ExecutorFactory - << taskConfig executor: null +Oct-21 11:47:02.617 [main] DEBUG nextflow.executor.ExecutorFactory - >> processorType: 'local' +Oct-21 11:47:02.622 [main] DEBUG nextflow.executor.Executor - [warm up] executor > local +Oct-21 11:47:02.628 [main] DEBUG n.processor.LocalPollingMonitor - Creating local task monitor for executor 'local' > cpus=40; memory=375.9 GB; capacity=40; pollInterval=100ms; dumpInterval=5m +Oct-21 11:47:02.631 [main] DEBUG n.processor.TaskPollingMonitor - >>> barrier register (monitor: local) +Oct-21 11:47:02.653 [main] DEBUG nextflow.processor.TaskProcessor - Creating process 'EXPORT_LOCUSBREAKER': maxForks=0; fair=false; array=0 +Oct-21 11:47:02.682 [main] DEBUG nextflow.Session - Workflow process names [dsl2]: EXPORT_LOCUSBREAKER, MERGE_METADATA, EXPORT_REGIONS, INGEST_DATA, CREATE_TILEDB +Oct-21 11:47:02.684 [main] DEBUG nextflow.Session - Igniting dataflow network (2) +Oct-21 11:47:02.689 [main] DEBUG nextflow.processor.TaskProcessor - Starting process > EXPORT_LOCUSBREAKER +Oct-21 11:47:02.690 [main] DEBUG nextflow.script.ScriptRunner - Parsed script files: + Script_7b14281b3e71c830: /group/soranzo/bruno.ariano/TileDB-sumstat/modules/merge_metadata/main.nf + Script_f79ff21670d5e55f: /group/soranzo/bruno.ariano/TileDB-sumstat/modules/regions/main.nf + Script_25f7cc05cc930eea: /group/soranzo/bruno.ariano/TileDB-sumstat/modules/locusbreaker/main.nf + Script_fa94f925e889eb3d: /group/soranzo/bruno.ariano/TileDB-sumstat/modules/create_tiledb/main.nf + Script_9642d9956a1c233a: /group/soranzo/bruno.ariano/TileDB-sumstat/modules/ingestion/main.nf + Script_d23e1daa06b1131d: /group/soranzo/bruno.ariano/TileDB-sumstat/main.nf +Oct-21 11:47:02.690 [main] DEBUG nextflow.script.ScriptRunner - > Awaiting termination +Oct-21 11:47:02.690 [main] DEBUG nextflow.Session - Session await +Oct-21 11:47:02.705 [Actor Thread 6] DEBUG n.splitter.AbstractTextSplitter - Splitter `Text` collector path: nextflow.splitter.TextFileCollector$CachePath(/group/soranzo/bruno.ariano/TileDB-sumstat/work/e5/a609d35e1f6264f5505a62ddc42571/locusbreaker_test_table.csv, null) +Oct-21 11:47:02.828 [Actor Thread 22] DEBUG nextflow.conda.CondaCache - conda found local env for environment=/ssu/gassu/conda_envs/scqtl; path=/ssu/gassu/conda_envs/scqtl +Oct-21 11:47:02.911 [Task submitter] DEBUG n.executor.local.LocalTaskHandler - Launch cmd line: /bin/bash -ue .command.run +Oct-21 11:47:02.913 [Task submitter] INFO nextflow.Session - [25/b08e39] Submitted process > EXPORT_LOCUSBREAKER (1) +Oct-21 11:47:02.931 [Task submitter] DEBUG n.executor.local.LocalTaskHandler - Launch cmd line: /bin/bash -ue .command.run +Oct-21 11:47:02.932 [Task submitter] INFO nextflow.Session - [67/f70877] Submitted process > EXPORT_LOCUSBREAKER (2) +Oct-21 11:47:02.948 [Task submitter] DEBUG n.executor.local.LocalTaskHandler - Launch cmd line: /bin/bash -ue .command.run +Oct-21 11:47:02.948 [Task submitter] INFO nextflow.Session - [d2/c01305] Submitted process > EXPORT_LOCUSBREAKER (3) +Oct-21 11:47:21.940 [Task monitor] DEBUG n.processor.TaskPollingMonitor - Task completed > TaskHandler[id: 3; name: EXPORT_LOCUSBREAKER (3); status: COMPLETED; exit: 2; error: -; workDir: /group/soranzo/bruno.ariano/TileDB-sumstat/work/d2/c0130573fca6584acfc171168172f3] +Oct-21 11:47:21.941 [Task monitor] DEBUG nextflow.util.ThreadPoolBuilder - Creating thread pool 'TaskFinalizer' minSize=10; maxSize=120; workQueue=LinkedBlockingQueue[-1]; allowCoreThreadTimeout=false +Oct-21 11:47:21.951 [TaskFinalizer-1] DEBUG nextflow.processor.TaskProcessor - Handling unexpected condition for + task: name=EXPORT_LOCUSBREAKER (3); work-dir=/group/soranzo/bruno.ariano/TileDB-sumstat/work/d2/c0130573fca6584acfc171168172f3 + error [nextflow.exception.ProcessFailedException]: Process `EXPORT_LOCUSBREAKER (3)` terminated with an error exit status (2) +Oct-21 11:47:21.954 [Task monitor] DEBUG n.processor.TaskPollingMonitor - Task completed > TaskHandler[id: 2; name: EXPORT_LOCUSBREAKER (2); status: COMPLETED; exit: 2; error: -; workDir: /group/soranzo/bruno.ariano/TileDB-sumstat/work/67/f708777f78166f29836c65334999b2] +Oct-21 11:47:21.969 [TaskFinalizer-1] ERROR nextflow.processor.TaskProcessor - Error executing process > 'EXPORT_LOCUSBREAKER (3)' + +Caused by: + Process `EXPORT_LOCUSBREAKER (3)` terminated with an error exit status (2) + + +Command executed: + + scqtl export --table-lb locusbreaker_test_table.3.csv --tiledb-path /group/soranzo/bruno.ariano/TileDB-sumstat/example_data/TileDB_test --out out --maf-lb 0.001 --type-sumstat qtl --hole-lb 250000 --locus-max-size-lb 2000000 --locusbreaker --batch-name-lb 3 + +Command exit status: + 2 + +Command output: + (empty) + +Command error: + Usage: scqtl export [OPTIONS] + Try 'scqtl export --help' for help. + + Error: No such option: --batch-name-lb (Possible options: --batch-nam-lb, --table-lb) + +Work dir: + /group/soranzo/bruno.ariano/TileDB-sumstat/work/d2/c0130573fca6584acfc171168172f3 + +Tip: view the complete command output by changing to the process work dir and entering the command `cat .command.out` +Oct-21 11:47:21.970 [TaskFinalizer-2] DEBUG nextflow.processor.TaskProcessor - Handling unexpected condition for + task: name=EXPORT_LOCUSBREAKER (2); work-dir=/group/soranzo/bruno.ariano/TileDB-sumstat/work/67/f708777f78166f29836c65334999b2 + error [nextflow.exception.ProcessFailedException]: Process `EXPORT_LOCUSBREAKER (2)` terminated with an error exit status (2) +Oct-21 11:47:21.992 [TaskFinalizer-1] INFO nextflow.Session - Execution cancelled -- Finishing pending tasks before exit +Oct-21 11:47:22.002 [main] DEBUG nextflow.Session - Session await > all processes finished +Oct-21 11:47:22.177 [Task monitor] DEBUG n.processor.TaskPollingMonitor - Task completed > TaskHandler[id: 1; name: EXPORT_LOCUSBREAKER (1); status: COMPLETED; exit: 2; error: -; workDir: /group/soranzo/bruno.ariano/TileDB-sumstat/work/25/b08e399d975209b6690e927225986a] +Oct-21 11:47:22.178 [Task monitor] DEBUG n.processor.TaskPollingMonitor - <<< barrier arrives (monitor: local) - terminating tasks monitor poll loop +Oct-21 11:47:22.178 [main] DEBUG nextflow.Session - Session await > all barriers passed +Oct-21 11:47:22.180 [TaskFinalizer-3] DEBUG nextflow.processor.TaskProcessor - Handling unexpected condition for + task: name=EXPORT_LOCUSBREAKER (1); work-dir=/group/soranzo/bruno.ariano/TileDB-sumstat/work/25/b08e399d975209b6690e927225986a + error [nextflow.exception.ProcessFailedException]: Process `EXPORT_LOCUSBREAKER (1)` terminated with an error exit status (2) +Oct-21 11:47:22.185 [main] DEBUG nextflow.util.ThreadPoolManager - Thread pool 'TaskFinalizer' shutdown completed (hard=false) +Oct-21 11:47:22.191 [main] DEBUG n.trace.WorkflowStatsObserver - Workflow completed > WorkflowStats[succeededCount=0; failedCount=3; ignoredCount=0; cachedCount=0; pendingCount=0; submittedCount=0; runningCount=0; retriesCount=0; abortedCount=0; succeedDuration=0ms; failedDuration=5m 43s; cachedDuration=0ms;loadCpus=0; loadMemory=0; peakRunning=3; peakCpus=18; peakMemory=90 GB; ] +Oct-21 11:47:22.191 [main] DEBUG nextflow.trace.TraceFileObserver - Workflow completed -- saving trace file +Oct-21 11:47:22.194 [main] DEBUG nextflow.trace.ReportObserver - Workflow completed -- rendering execution report +Oct-21 11:47:22.682 [main] DEBUG nextflow.trace.TimelineObserver - Workflow completed -- rendering execution timeline +Oct-21 11:47:22.794 [main] DEBUG nextflow.cache.CacheDB - Closing CacheDB done +Oct-21 11:47:22.820 [main] DEBUG nextflow.util.ThreadPoolManager - Thread pool 'FileTransfer' shutdown completed (hard=false) +Oct-21 11:47:22.821 [main] DEBUG nextflow.script.ScriptRunner - > Execution complete -- Goodbye diff --git a/.nextflow.log.9 b/.nextflow.log.9 new file mode 100644 index 0000000..6a7d85f --- /dev/null +++ b/.nextflow.log.9 @@ -0,0 +1,127 @@ +Oct-21 11:45:02.076 [main] DEBUG nextflow.cli.Launcher - $> nextflow run main.nf -profile conda,test_export_lb +Oct-21 11:45:02.231 [main] DEBUG nextflow.cli.CmdRun - N E X T F L O W ~ version 25.04.3 +Oct-21 11:45:02.253 [main] DEBUG nextflow.plugin.PluginsFacade - Setting up plugin manager > mode=prod; embedded=false; plugins-dir=/home/bruno.ariano/.nextflow/plugins; core-plugins: nf-amazon@2.15.0,nf-azure@1.16.0,nf-cloudcache@0.4.3,nf-codecommit@0.2.3,nf-console@1.2.1,nf-google@1.21.0,nf-k8s@1.0.0,nf-tower@1.11.3,nf-wave@1.12.1 +Oct-21 11:45:02.276 [main] INFO o.pf4j.DefaultPluginStatusProvider - Enabled plugins: [] +Oct-21 11:45:02.277 [main] INFO o.pf4j.DefaultPluginStatusProvider - Disabled plugins: [] +Oct-21 11:45:02.280 [main] INFO org.pf4j.DefaultPluginManager - PF4J version 3.12.0 in 'deployment' mode +Oct-21 11:45:02.291 [main] INFO org.pf4j.AbstractPluginManager - No plugins +Oct-21 11:45:02.324 [main] DEBUG nextflow.config.ConfigBuilder - Found config local: /group/soranzo/bruno.ariano/TileDB-sumstat/nextflow.config +Oct-21 11:45:02.327 [main] DEBUG nextflow.config.ConfigBuilder - Parsing config file: /group/soranzo/bruno.ariano/TileDB-sumstat/nextflow.config +Oct-21 11:45:02.358 [main] DEBUG n.secret.LocalSecretsProvider - Secrets store: /home/bruno.ariano/.nextflow/secrets/store.json +Oct-21 11:45:02.362 [main] DEBUG nextflow.secret.SecretsLoader - Discovered secrets providers: [nextflow.secret.LocalSecretsProvider@5c41d037] - activable => nextflow.secret.LocalSecretsProvider@5c41d037 +Oct-21 11:45:02.368 [main] DEBUG nextflow.config.ConfigBuilder - Applying config profile: `conda,test_export_lb` +Oct-21 11:45:03.113 [main] DEBUG nextflow.config.ConfigBuilder - Available config profiles: [shifter, test, mamba, charliecloud, apptainer, conda, test_export_lb, singularity, wave, docker, podman] +Oct-21 11:45:03.146 [main] DEBUG nextflow.cli.CmdRun - Applied DSL=2 by global default +Oct-21 11:45:03.160 [main] DEBUG nextflow.cli.CmdRun - Launching `main.nf` [irreverent_wilson] DSL2 - revision: 1309f0cb95 +Oct-21 11:45:03.162 [main] DEBUG nextflow.plugin.PluginsFacade - Plugins default=[] +Oct-21 11:45:03.162 [main] DEBUG nextflow.plugin.PluginsFacade - Plugins resolved requirement=[] +Oct-21 11:45:03.205 [main] DEBUG nextflow.Session - Session UUID: ee4aef90-d2e5-4acd-9cda-13ea6bdea2f5 +Oct-21 11:45:03.206 [main] DEBUG nextflow.Session - Run name: irreverent_wilson +Oct-21 11:45:03.206 [main] DEBUG nextflow.Session - Executor pool size: 40 +Oct-21 11:45:03.213 [main] DEBUG nextflow.file.FilePorter - File porter settings maxRetries=3; maxTransfers=50; pollTimeout=null +Oct-21 11:45:03.217 [main] DEBUG nextflow.util.ThreadPoolBuilder - Creating thread pool 'FileTransfer' minSize=10; maxSize=120; workQueue=LinkedBlockingQueue[-1]; allowCoreThreadTimeout=false +Oct-21 11:45:03.241 [main] DEBUG nextflow.cli.CmdRun - + Version: 25.04.3 build 5949 + Created: 02-06-2025 20:56 UTC (22:56 CEST) + System: Linux 4.18.0-477.10.1.el8_8.x86_64 + Runtime: Groovy 4.0.26 on OpenJDK 64-Bit Server VM 17.0.8.1+1 + Encoding: UTF-8 (UTF-8) + Process: 1462385@hnode02 [192.168.104.253] + CPUs: 40 - Mem: 375.9 GB (13 GB) - Swap: 64 GB (59.2 GB) +Oct-21 11:45:03.272 [main] DEBUG nextflow.Session - Work-dir: /group/soranzo/bruno.ariano/TileDB-sumstat/work [nfs] +Oct-21 11:45:03.273 [main] DEBUG nextflow.Session - Script base path does not exist or is not a directory: /group/soranzo/bruno.ariano/TileDB-sumstat/bin +Oct-21 11:45:03.281 [main] DEBUG nextflow.executor.ExecutorFactory - Extension executors providers=[] +Oct-21 11:45:03.290 [main] DEBUG nextflow.Session - Observer factory: DefaultObserverFactory +Oct-21 11:45:03.318 [main] DEBUG nextflow.Session - Observer factory (v2): LinObserverFactory +Oct-21 11:45:03.342 [main] DEBUG nextflow.cache.CacheFactory - Using Nextflow cache factory: nextflow.cache.DefaultCacheFactory +Oct-21 11:45:03.350 [main] DEBUG nextflow.util.CustomThreadPool - Creating default thread pool > poolSize: 41; maxThreads: 1000 +Oct-21 11:45:03.434 [main] DEBUG nextflow.Session - Session start +Oct-21 11:45:03.437 [main] DEBUG nextflow.trace.TraceFileObserver - Workflow started -- trace file: /group/soranzo/bruno.ariano/TileDB-sumstat/results/pipeline_info/execution_trace_2025-10-21_11-45-03.txt +Oct-21 11:45:03.616 [main] DEBUG nextflow.script.ScriptRunner - > Launching execution +Oct-21 11:45:04.083 [main] DEBUG nextflow.script.ProcessConfig - Config settings `withLabel:process_multi` matches labels `process_multi` for process with name EXPORT_LOCUSBREAKER +Oct-21 11:45:04.091 [main] DEBUG nextflow.executor.ExecutorFactory - << taskConfig executor: null +Oct-21 11:45:04.092 [main] DEBUG nextflow.executor.ExecutorFactory - >> processorType: 'local' +Oct-21 11:45:04.098 [main] DEBUG nextflow.executor.Executor - [warm up] executor > local +Oct-21 11:45:04.103 [main] DEBUG n.processor.LocalPollingMonitor - Creating local task monitor for executor 'local' > cpus=40; memory=375.9 GB; capacity=40; pollInterval=100ms; dumpInterval=5m +Oct-21 11:45:04.105 [main] DEBUG n.processor.TaskPollingMonitor - >>> barrier register (monitor: local) +Oct-21 11:45:04.124 [main] DEBUG nextflow.processor.TaskProcessor - Creating process 'EXPORT_LOCUSBREAKER': maxForks=0; fair=false; array=0 +Oct-21 11:45:04.159 [main] DEBUG nextflow.Session - Workflow process names [dsl2]: EXPORT_LOCUSBREAKER, MERGE_METADATA, EXPORT_REGIONS, INGEST_DATA, CREATE_TILEDB +Oct-21 11:45:04.162 [main] DEBUG nextflow.Session - Igniting dataflow network (2) +Oct-21 11:45:04.167 [main] DEBUG nextflow.processor.TaskProcessor - Starting process > EXPORT_LOCUSBREAKER +Oct-21 11:45:04.168 [main] DEBUG nextflow.script.ScriptRunner - Parsed script files: + Script_7b14281b3e71c830: /group/soranzo/bruno.ariano/TileDB-sumstat/modules/merge_metadata/main.nf + Script_f79ff21670d5e55f: /group/soranzo/bruno.ariano/TileDB-sumstat/modules/regions/main.nf + Script_94889000f8c69be8: /group/soranzo/bruno.ariano/TileDB-sumstat/modules/locusbreaker/main.nf + Script_fa94f925e889eb3d: /group/soranzo/bruno.ariano/TileDB-sumstat/modules/create_tiledb/main.nf + Script_9642d9956a1c233a: /group/soranzo/bruno.ariano/TileDB-sumstat/modules/ingestion/main.nf + Script_d23e1daa06b1131d: /group/soranzo/bruno.ariano/TileDB-sumstat/main.nf +Oct-21 11:45:04.168 [main] DEBUG nextflow.script.ScriptRunner - > Awaiting termination +Oct-21 11:45:04.168 [main] DEBUG nextflow.Session - Session await +Oct-21 11:45:04.182 [Actor Thread 6] DEBUG n.splitter.AbstractTextSplitter - Splitter `Text` collector path: nextflow.splitter.TextFileCollector$CachePath(/group/soranzo/bruno.ariano/TileDB-sumstat/work/cb/09ba75611694f8b4c73dc09c15a65d/locusbreaker_test_table.csv, null) +Oct-21 11:45:04.264 [Actor Thread 18] WARN nextflow.script.ScriptBinding - Access to undefined parameter `tiledb_typesumstat` -- Initialise it to a default value eg. `params.tiledb_typesumstat = some_value` +Oct-21 11:45:04.273 [Actor Thread 16] WARN nextflow.script.ScriptBinding - Access to undefined parameter `tiledb_large_locus_size_lb` -- Initialise it to a default value eg. `params.tiledb_large_locus_size_lb = some_value` +Oct-21 11:45:04.325 [Actor Thread 23] DEBUG nextflow.conda.CondaCache - conda found local env for environment=/ssu/gassu/conda_envs/scqtl; path=/ssu/gassu/conda_envs/scqtl +Oct-21 11:45:04.415 [Task submitter] DEBUG n.executor.local.LocalTaskHandler - Launch cmd line: /bin/bash -ue .command.run +Oct-21 11:45:04.417 [Task submitter] INFO nextflow.Session - [7b/c0ea65] Submitted process > EXPORT_LOCUSBREAKER (2) +Oct-21 11:45:04.435 [Task submitter] DEBUG n.executor.local.LocalTaskHandler - Launch cmd line: /bin/bash -ue .command.run +Oct-21 11:45:04.436 [Task submitter] INFO nextflow.Session - [9a/2c0a3a] Submitted process > EXPORT_LOCUSBREAKER (3) +Oct-21 11:45:04.451 [Task submitter] DEBUG n.executor.local.LocalTaskHandler - Launch cmd line: /bin/bash -ue .command.run +Oct-21 11:45:04.452 [Task submitter] INFO nextflow.Session - [b2/de78cb] Submitted process > EXPORT_LOCUSBREAKER (1) +Oct-21 11:45:57.321 [Task monitor] DEBUG n.processor.TaskPollingMonitor - Task completed > TaskHandler[id: 1; name: EXPORT_LOCUSBREAKER (1); status: COMPLETED; exit: 2; error: -; workDir: /group/soranzo/bruno.ariano/TileDB-sumstat/work/b2/de78cb4a55b730dbba241a33553f2e] +Oct-21 11:45:57.322 [Task monitor] DEBUG nextflow.util.ThreadPoolBuilder - Creating thread pool 'TaskFinalizer' minSize=10; maxSize=120; workQueue=LinkedBlockingQueue[-1]; allowCoreThreadTimeout=false +Oct-21 11:45:57.331 [TaskFinalizer-1] DEBUG nextflow.processor.TaskProcessor - Handling unexpected condition for + task: name=EXPORT_LOCUSBREAKER (1); work-dir=/group/soranzo/bruno.ariano/TileDB-sumstat/work/b2/de78cb4a55b730dbba241a33553f2e + error [nextflow.exception.ProcessFailedException]: Process `EXPORT_LOCUSBREAKER (1)` terminated with an error exit status (2) +Oct-21 11:45:57.349 [TaskFinalizer-1] ERROR nextflow.processor.TaskProcessor - Error executing process > 'EXPORT_LOCUSBREAKER (1)' + +Caused by: + Process `EXPORT_LOCUSBREAKER (1)` terminated with an error exit status (2) + + +Command executed: + + scqtl + export --table-lb locusbreaker_test_table.1.csv --tiledb-path /group/soranzo/bruno.ariano/TileDB-sumstat/example_data/TileDB_test --out out --maf-lb 0.001 --type-sumstat null --hole-lb 250000 --locus-max-size-lb null --locusbreaker --batch-name-lb 1 + +Command exit status: + 2 + +Command output: + (empty) + +Command error: + Usage: scqtl [OPTIONS] COMMAND [ARGS]... + + Single cell analysis with TileDB + + Options: + --help Show this message and exit. + + Commands: + export Query TileDB database and export data. + ingest Ingest single cell QTL with TileDB + +Work dir: + /group/soranzo/bruno.ariano/TileDB-sumstat/work/b2/de78cb4a55b730dbba241a33553f2e + +Tip: when you have fixed the problem you can continue the execution adding the option `-resume` to the run command line +Oct-21 11:45:57.361 [TaskFinalizer-1] INFO nextflow.Session - Execution cancelled -- Finishing pending tasks before exit +Oct-21 11:45:57.366 [main] DEBUG nextflow.Session - Session await > all processes finished +Oct-21 11:45:57.369 [Task monitor] DEBUG n.processor.TaskPollingMonitor - Task completed > TaskHandler[id: 2; name: EXPORT_LOCUSBREAKER (2); status: COMPLETED; exit: 2; error: -; workDir: /group/soranzo/bruno.ariano/TileDB-sumstat/work/7b/c0ea6514ae9133c03a975aef68f7cb] +Oct-21 11:45:57.374 [TaskFinalizer-2] DEBUG nextflow.processor.TaskProcessor - Handling unexpected condition for + task: name=EXPORT_LOCUSBREAKER (2); work-dir=/group/soranzo/bruno.ariano/TileDB-sumstat/work/7b/c0ea6514ae9133c03a975aef68f7cb + error [nextflow.exception.ProcessFailedException]: Process `EXPORT_LOCUSBREAKER (2)` terminated with an error exit status (2) +Oct-21 11:45:57.509 [Task monitor] DEBUG n.processor.TaskPollingMonitor - Task completed > TaskHandler[id: 3; name: EXPORT_LOCUSBREAKER (3); status: COMPLETED; exit: 2; error: -; workDir: /group/soranzo/bruno.ariano/TileDB-sumstat/work/9a/2c0a3a73065be6d37bd0caa73a17d7] +Oct-21 11:45:57.510 [Task monitor] DEBUG n.processor.TaskPollingMonitor - <<< barrier arrives (monitor: local) - terminating tasks monitor poll loop +Oct-21 11:45:57.511 [main] DEBUG nextflow.Session - Session await > all barriers passed +Oct-21 11:45:57.513 [TaskFinalizer-3] DEBUG nextflow.processor.TaskProcessor - Handling unexpected condition for + task: name=EXPORT_LOCUSBREAKER (3); work-dir=/group/soranzo/bruno.ariano/TileDB-sumstat/work/9a/2c0a3a73065be6d37bd0caa73a17d7 + error [nextflow.exception.ProcessFailedException]: Process `EXPORT_LOCUSBREAKER (3)` terminated with an error exit status (2) +Oct-21 11:45:57.517 [main] DEBUG nextflow.util.ThreadPoolManager - Thread pool 'TaskFinalizer' shutdown completed (hard=false) +Oct-21 11:45:57.521 [main] DEBUG n.trace.WorkflowStatsObserver - Workflow completed > WorkflowStats[succeededCount=0; failedCount=3; ignoredCount=0; cachedCount=0; pendingCount=0; submittedCount=0; runningCount=0; retriesCount=0; abortedCount=0; succeedDuration=0ms; failedDuration=15m 52s; cachedDuration=0ms;loadCpus=0; loadMemory=0; peakRunning=3; peakCpus=18; peakMemory=90 GB; ] +Oct-21 11:45:57.521 [main] DEBUG nextflow.trace.TraceFileObserver - Workflow completed -- saving trace file +Oct-21 11:45:57.525 [main] DEBUG nextflow.trace.ReportObserver - Workflow completed -- rendering execution report +Oct-21 11:45:58.011 [main] DEBUG nextflow.trace.TimelineObserver - Workflow completed -- rendering execution timeline +Oct-21 11:45:58.174 [main] DEBUG nextflow.cache.CacheDB - Closing CacheDB done +Oct-21 11:45:58.201 [main] DEBUG nextflow.util.ThreadPoolManager - Thread pool 'FileTransfer' shutdown completed (hard=false) +Oct-21 11:45:58.202 [main] DEBUG nextflow.script.ScriptRunner - > Execution complete -- Goodbye diff --git a/.nextflow/cache/00052b8f-500e-431e-8b4d-d3f58be99f10/db/000003.log b/.nextflow/cache/00052b8f-500e-431e-8b4d-d3f58be99f10/db/000003.log new file mode 100644 index 0000000000000000000000000000000000000000..9e0f96a2a253b173cb45b41868209a5d043e1437 GIT binary patch literal 1048576 zcmeIuF#!Mo0K%a4Pi+Wah(KY$fB^#r3>YwAz<>b*1`HT5V8DO@0|pEjFkrxd0RsjM z7%*VKfB^#r3>YwAz<>b*1`HT5V8DO@0|pEjFkrxd0RsjM7%*VKfB^#r3>YwAz<>b* z1`HT5V8DO@0|pEjFkrxd0RsjM7%*VKfB^#r3>YwAz<>b*1`HT5V8DO@0|pEjFkrxd z0RsjM7%*VKfB^#r3>YwAz<>b*1`HT5V8DO@0|pEjFkrxd0RsjM7%*VKfB^#r3>YwA 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+++ b/.nextflow/history @@ -0,0 +1,90 @@ +2025-10-20 16:16:36 - suspicious_ramanujan - c1fcc6c9d0fe755345e2bea28e68347e 00052b8f-500e-431e-8b4d-d3f58be99f10 nextflow run main.nf --profile test +2025-10-20 16:18:06 - peaceful_lamarck - dd96d175a627f99084eac08948cd88ea ec45c63f-bae8-4f39-b5b3-a006cb09a007 nextflow run main.nf --profile test +2025-10-20 16:22:07 - nice_hodgkin - 73e6f9e6d576ea46d0308e6d6ff4e2c9 80e77098-1593-4c78-8bbf-112ca32a4c27 nextflow run main.nf --profile test +2025-10-20 16:23:28 - big_nobel - 73e6f9e6d576ea46d0308e6d6ff4e2c9 d62f3146-925a-4b26-ae0a-bd05ecb1e073 nextflow run main.nf --profile test +2025-10-20 16:24:09 2.9s tiny_nobel OK 73e6f9e6d576ea46d0308e6d6ff4e2c9 c5a97f0c-b39d-467f-bbd2-e4fa67dd8074 nextflow run main.nf --profile test +2025-10-20 16:24:38 2.3s sick_montalcini OK 73e6f9e6d576ea46d0308e6d6ff4e2c9 9a9a1a44-e43a-4401-8210-365dfdf024ca nextflow run main.nf --profile test +2025-10-20 16:25:14 1.9s stupefied_wescoff OK 73e6f9e6d576ea46d0308e6d6ff4e2c9 f766b9c1-4a90-4f03-860f-a39b7a4873b1 nextflow run main.nf --profile test +2025-10-20 16:26:57 1.6s hopeful_koch OK 73e6f9e6d576ea46d0308e6d6ff4e2c9 648b9fa2-dade-456e-bcc3-f2184d4fb68f nextflow run main.nf --profile test +2025-10-20 16:31:34 2.3s loquacious_liskov OK 73e6f9e6d576ea46d0308e6d6ff4e2c9 24828e03-d0cc-4dcf-a7d1-d59a0da74b58 nextflow run main.nf --profile test +2025-10-20 16:32:32 1.9s astonishing_hirsch OK 73e6f9e6d576ea46d0308e6d6ff4e2c9 55f94574-f620-4d64-9078-1fb0546ad0a7 nextflow run main.nf --profile test +2025-10-20 16:32:58 2.4s curious_ekeblad OK 73e6f9e6d576ea46d0308e6d6ff4e2c9 ca8a3211-cfd7-4082-a92b-d64ae9330b2d nextflow run main.nf --profile test +2025-10-20 16:33:48 2.6s nostalgic_wozniak OK 73e6f9e6d576ea46d0308e6d6ff4e2c9 fcf034ac-f35b-447a-bb93-d413b68564c0 nextflow run main.nf --profile test +2025-10-20 16:36:25 2s adoring_almeida OK 41065d67c884d7625e961d6fd4e90afc 848e755f-529c-4f51-9966-1dcf1c0ab4b3 nextflow run main.nf --profile test +2025-10-20 16:36:55 2.2s maniac_franklin OK 41065d67c884d7625e961d6fd4e90afc b0589507-a06c-40dc-9234-e4b0b919c706 nextflow run main.nf --profile test +2025-10-20 16:38:06 1.6s compassionate_gates OK f6582c82bb49af29e54793667c02651a a9f3ca4c-0ebb-4871-b688-912f4881d356 nextflow run main.nf --profile test +2025-10-20 16:42:00 2.3s suspicious_kirch OK f6582c82bb49af29e54793667c02651a 54ae74f6-e7c2-40ab-8ccb-a0f5ef64ef2d nextflow run main.nf --profile test +2025-10-20 16:42:34 1.7s gloomy_carlsson OK f6582c82bb49af29e54793667c02651a 2cfd5a45-afa6-4642-ab02-167ec3f3624f nextflow run main.nf --profile test +2025-10-20 16:44:00 2s small_gautier OK 89428f65688cc53b9d24cecc06504bfc ef42ff7a-f22e-409a-a93e-c4bcabfaa67a nextflow run main.nf --profile test +2025-10-20 16:44:16 2.6s loving_galileo OK afd06dcfdbcf59e8a71f802d33ba5e1a 0f17c57d-b338-4950-b2db-d96227229cc5 nextflow run main.nf --profile test +2025-10-20 16:45:27 2s admiring_austin OK afd06dcfdbcf59e8a71f802d33ba5e1a 6619d66a-3cda-42e4-8348-4e346346d56c nextflow run main.nf --profile conda,test +2025-10-20 16:46:42 2.5s small_wiles OK afd06dcfdbcf59e8a71f802d33ba5e1a ea7736da-34f6-477c-8198-12da9f9a84d2 nextflow run main.nf -profile conda,test_ingestion +2025-10-20 16:47:31 2.9s big_noether OK afd06dcfdbcf59e8a71f802d33ba5e1a 90afe29d-565a-49f5-b34f-a15e0e99b6b1 nextflow run main.nf -profile conda,test +2025-10-20 16:47:54 2.1s goofy_carson OK afd06dcfdbcf59e8a71f802d33ba5e1a 0b0bb2df-b87e-46f2-819b-baf0511909cf nextflow run main.nf -profile conda,test +2025-10-20 16:48:10 1.9s hopeful_coulomb OK afd06dcfdbcf59e8a71f802d33ba5e1a c9f2fafa-b08f-4102-b819-8823ae11c13e nextflow run main.nf -profile conda,test +2025-10-20 16:48:18 1.9s fabulous_austin OK afd06dcfdbcf59e8a71f802d33ba5e1a 9cfe1c15-f745-4a19-b1cd-95c8d61df159 nextflow run main.nf -profile conda,test +2025-10-20 16:49:54 5s high_euler OK afd06dcfdbcf59e8a71f802d33ba5e1a 5e385e6e-69e5-4bb5-bf18-cb5ed424edf1 nextflow run main.nf -profile conda,test +2025-10-20 16:50:40 2.9s jovial_goldwasser OK afd06dcfdbcf59e8a71f802d33ba5e1a f3e58d62-4278-45b8-9198-440da7f7c920 nextflow run main.nf -profile conda,test +2025-10-20 16:50:59 1.7s elegant_hawking OK afd06dcfdbcf59e8a71f802d33ba5e1a d4b5b2da-5713-4c5f-9739-007763092ff1 nextflow run main.nf -profile conda,test +2025-10-20 16:51:12 1.9s modest_torvalds OK afd06dcfdbcf59e8a71f802d33ba5e1a 5956bad8-d076-4264-a443-f4e7a89a1f21 nextflow run main.nf -profile conda,test +2025-10-20 16:52:01 2.6s evil_elion OK b088a3aa8b98ff47fe4716da763d69c2 c94ac739-a23e-4840-82d4-0aba194e6ae1 nextflow run main.nf -profile conda,test +2025-10-20 16:53:20 2.2s fabulous_ride OK 03eb14f71ea74b106eb99e60c2f3b826 e486ff8c-87be-40c9-a68c-7e0535c9b2c6 nextflow run main.nf -profile conda,test +2025-10-20 16:54:04 3.3s intergalactic_golick OK 03eb14f71ea74b106eb99e60c2f3b826 93e945f6-d501-4dee-b7ee-00ed549eb504 nextflow run main.nf -profile conda,test +2025-10-20 16:56:03 1.5s fabulous_faggin OK 03eb14f71ea74b106eb99e60c2f3b826 9cabf0f8-584e-4353-800b-f0d603eb4d04 nextflow run main.nf -profile conda,test +2025-10-20 16:57:49 2.1s drunk_planck OK 03eb14f71ea74b106eb99e60c2f3b826 c1012f2e-a4d7-416c-8276-fc4d7023a03f nextflow run main.nf -profile conda,test +2025-10-20 16:58:47 - lethal_agnesi - 03eb14f71ea74b106eb99e60c2f3b826 97107834-0fda-4062-b6b4-c0b54ae75f77 nextflow run main.nf -profile conda,test +2025-10-20 17:00:31 - admiring_ardinghelli - 03eb14f71ea74b106eb99e60c2f3b826 cad67168-0086-487f-8388-c13886035ed6 nextflow run main.nf -profile conda,test +2025-10-20 17:01:56 - thirsty_stone - 055bee6f66e5e543ff37a641e32d630a c633b06c-bdbe-4169-b86f-894031b25fca nextflow run main.nf -profile conda,test +2025-10-20 17:02:37 - tiny_ardinghelli - 03eb14f71ea74b106eb99e60c2f3b826 2452dfcc-7341-4704-a578-98aaacedd831 nextflow run main.nf -profile conda,test +2025-10-20 17:03:21 - happy_wegener - ddbfc67dc69d29091a87439a8cb957c0 4fec721d-df93-40df-88ad-ad0d8282f0c1 nextflow run main.nf -profile conda,test +2025-10-20 17:04:09 2.1s cheesy_pauling ERR ddbfc67dc69d29091a87439a8cb957c0 6b700f04-052e-4455-8953-769263f58e40 nextflow run main.nf -profile conda,test +2025-10-20 17:05:03 - dreamy_gates - ddbfc67dc69d29091a87439a8cb957c0 c7e1f5bc-4c93-483e-906a-3a4d18523a81 nextflow run main.nf -profile conda,test +2025-10-20 17:13:55 - small_sinoussi - ddbfc67dc69d29091a87439a8cb957c0 fbd1d521-280f-4a42-99b6-1c373fa7310e nextflow run main.nf -profile conda,test +2025-10-20 17:21:03 2.9s boring_boyd ERR ddbfc67dc69d29091a87439a8cb957c0 58c33e43-9fde-4bdc-8eb8-a2bf1a57a980 nextflow run main.nf -profile conda,test +2025-10-20 17:22:49 4m 5s clever_wing ERR f4d237aef66a6fe009bc88e3f7dd982b 056357b3-dca9-49c2-988b-6ee1446245de nextflow run main.nf -profile conda,test +2025-10-20 17:49:28 45s suspicious_lalande ERR a9968b26f0ee711be7c06ad7fecfd2f7 7733690c-6ead-4f1c-bfc1-b38f3e84464d nextflow run main.nf -profile conda,test +2025-10-20 17:51:28 45.5s desperate_magritte ERR a40ca4516192562a70b1c3e9fce5b75e 2044440a-9f71-4b11-8553-bf4fc8f715a9 nextflow run main.nf -profile conda,test +2025-10-20 17:54:54 56.7s desperate_stallman OK a40ca4516192562a70b1c3e9fce5b75e 2044440a-9f71-4b11-8553-bf4fc8f715a9 nextflow run main.nf -profile conda,test -resume +2025-10-20 18:00:18 4.4s clever_leibniz OK caa55c210c06fb62736ff6677cdeaa2c 2044440a-9f71-4b11-8553-bf4fc8f715a9 nextflow run main.nf -profile conda,test -resume +2025-10-20 18:02:48 1m 21s high_shockley OK caa55c210c06fb62736ff6677cdeaa2c 2044440a-9f71-4b11-8553-bf4fc8f715a9 nextflow run main.nf -profile conda,test -resume +2025-10-20 18:05:27 1m 50s sad_wright OK caa55c210c06fb62736ff6677cdeaa2c 6d62717d-9c80-4612-a6ff-440e192b0c96 nextflow run main.nf -profile conda,test +2025-10-20 18:09:22 2.5s determined_sanger OK caa55c210c06fb62736ff6677cdeaa2c 6d62717d-9c80-4612-a6ff-440e192b0c96 nextflow run main.nf -profile conda,test -resume +2025-10-20 18:09:43 4.6s suspicious_banach OK caa55c210c06fb62736ff6677cdeaa2c 6d62717d-9c80-4612-a6ff-440e192b0c96 nextflow run main.nf -profile conda,test -resume +2025-10-20 18:11:06 26.9s crazy_volhard ERR caa55c210c06fb62736ff6677cdeaa2c 6d62717d-9c80-4612-a6ff-440e192b0c96 nextflow run main.nf -profile conda,test -resume +2025-10-20 18:11:38 1m 4s hungry_lavoisier OK caa55c210c06fb62736ff6677cdeaa2c 6d62717d-9c80-4612-a6ff-440e192b0c96 nextflow run main.nf -profile conda,test -resume +2025-10-20 20:03:20 3.9s distraught_shirley OK caa55c210c06fb62736ff6677cdeaa2c 6d62717d-9c80-4612-a6ff-440e192b0c96 nextflow run main.nf -profile conda,test -resume +2025-10-20 20:26:29 3s wise_ampere OK caa55c210c06fb62736ff6677cdeaa2c 6d62717d-9c80-4612-a6ff-440e192b0c96 nextflow run main.nf -profile conda,test -resume +2025-10-20 20:41:52 46.7s elegant_wright ERR caa55c210c06fb62736ff6677cdeaa2c 6022455a-460f-427c-b0e6-39c70ce451c6 nextflow run main.nf -profile conda,test +2025-10-20 20:43:23 1m 52s marvelous_bartik OK 5b04b119c064d9799cf22e38386dea16 5696357b-bdad-4673-b7ae-b0520e1649b9 nextflow run main.nf -profile conda,test +2025-10-20 20:45:23 1m 16s compassionate_caravaggio OK 5b04b119c064d9799cf22e38386dea16 0a85c54e-f3b0-431e-a7b8-31fea5ced755 nextflow run main.nf -profile conda,test +2025-10-20 20:52:51 1m 39s cranky_brenner OK 5b04b119c064d9799cf22e38386dea16 48c2a52e-6f5f-4fbd-9039-b0f9b679658f nextflow run main.nf -profile conda,test +2025-10-20 20:55:23 1m 39s evil_chandrasekhar OK 5b04b119c064d9799cf22e38386dea16 5cc83fc1-a406-41b1-8f88-8f8cbda8b6ad nextflow run main.nf -profile conda,test +2025-10-20 21:16:19 1m 35s festering_planck OK 5b04b119c064d9799cf22e38386dea16 27fce5a2-979f-4bd8-9da4-21760bf900d2 nextflow run main.nf -profile conda,test +2025-10-20 21:25:53 1m 32s wise_rutherford OK 5b04b119c064d9799cf22e38386dea16 323be788-4752-427a-884e-7d5900d9e445 nextflow run main.nf -profile conda,test +2025-10-20 21:34:51 - furious_gautier - 8a289572de530fa9b80f18ab4eecf5e4 0298ca5b-a147-451b-819e-4407b0473619 nextflow run main.nf -profile conda,test +2025-10-20 21:36:35 - scruffy_bardeen - dc90afd737d857a3dedfd71db76b08d0 e3973024-b9d4-40b0-b716-51e66a3ed165 nextflow run main.nf -profile conda,test +2025-10-20 21:37:05 1m 36s awesome_magritte ERR dc90afd737d857a3dedfd71db76b08d0 05ac13b3-c2bd-47bc-8b99-ae21213be279 nextflow run main.nf -profile conda,test +2025-10-20 21:46:02 - kickass_mayer - 46a251d666d258b2e2233e85e952b6ee e1f8344f-a848-4a5f-b7ed-57eb15fd923b nextflow run main.nf -profile conda,test +2025-10-20 21:46:53 3m 4s agitated_stone ERR 46a251d666d258b2e2233e85e952b6ee 598ca595-74cc-47c7-af86-c1f566fbf6c2 nextflow run main.nf -profile conda,test +2025-10-20 21:54:16 15.5s fabulous_einstein ERR 46a251d666d258b2e2233e85e952b6ee 598ca595-74cc-47c7-af86-c1f566fbf6c2 nextflow run main.nf -profile conda,test -resume +2025-10-20 22:00:53 - extravagant_curry - 46a251d666d258b2e2233e85e952b6ee 598ca595-74cc-47c7-af86-c1f566fbf6c2 nextflow run main.nf -profile conda,test -resume +2025-10-20 22:01:21 23.1s lethal_bassi ERR 46a251d666d258b2e2233e85e952b6ee 598ca595-74cc-47c7-af86-c1f566fbf6c2 nextflow run main.nf -profile conda,test -resume +2025-10-20 22:04:52 29.8s hungry_gutenberg OK 46a251d666d258b2e2233e85e952b6ee 598ca595-74cc-47c7-af86-c1f566fbf6c2 nextflow run main.nf -profile conda,test -resume +2025-10-20 22:07:26 1m 47s ecstatic_elion OK 46a251d666d258b2e2233e85e952b6ee 7e92d21c-61d8-4c0f-9ce0-0893eeb9c21e nextflow run main.nf -profile conda,test +2025-10-20 22:13:54 2m 11s focused_yonath OK 46a251d666d258b2e2233e85e952b6ee bc1c8565-1d2a-4f13-909d-7b97ac830d12 nextflow run main.nf -profile conda,test +2025-10-21 10:06:58 2m 52s sick_jang OK 4f3fd5493362d3b978a270eeacaaa278 40bcdb4a-f7c7-4f52-9450-bade1810ff82 nextflow run main.nf -profile conda,test +2025-10-21 11:37:22 1.7s compassionate_hawking OK 1f7b81f204bda4deba753e6f8b6e403f 33293d15-c021-40ad-a5b7-9bab08e135ac nextflow run main.nf -profile conda,test_lb +2025-10-21 11:38:18 1.8s crazy_ampere OK 0acda18aa9702b26bd66643ed57ec872 15a1472f-6ed8-4a02-a68b-a05c37aef4c5 nextflow run main.nf -profile conda,test_lb +2025-10-21 11:38:37 - spontaneous_gutenberg - 0acda18aa9702b26bd66643ed57ec872 98c4be9c-6a90-4881-bc05-2c963563bf41 nextflow run main.nf -profile conda,test_export_lb +2025-10-21 11:43:03 - irreverent_hawking - db4c79b1c724b60bf00912e34bf307f0 8c304660-0b0f-4e25-975d-75cc6c6e8f49 nextflow run main.nf -profile conda,test_export_lb +2025-10-21 11:44:11 2.7s evil_ekeblad ERR 1309f0cb95240182edb1216ee125c0e6 802b7d15-9b12-4b34-a204-e681e8665426 nextflow run main.nf -profile conda,test_export_lb +2025-10-21 11:45:03 55.2s irreverent_wilson ERR 1309f0cb95240182edb1216ee125c0e6 ee4aef90-d2e5-4acd-9cda-13ea6bdea2f5 nextflow run main.nf -profile conda,test_export_lb +2025-10-21 11:47:01 21.8s mad_goodall ERR 1309f0cb95240182edb1216ee125c0e6 1c50b09b-76e6-4e4d-b9d8-c39ef76e1ed6 nextflow run main.nf -profile conda,test_export_lb +2025-10-21 11:47:43 21.5s ecstatic_wozniak ERR 1309f0cb95240182edb1216ee125c0e6 cba45791-b79e-41ab-a056-7436c22c8460 nextflow run main.nf -profile conda,test_export_lb +2025-10-21 11:49:57 20.4s cheeky_miescher ERR 1309f0cb95240182edb1216ee125c0e6 555f2666-ef80-406e-802e-206724685193 nextflow run main.nf -profile conda,test_export_lb +2025-10-21 11:51:41 22.5s deadly_pare ERR 1309f0cb95240182edb1216ee125c0e6 ad41dd6d-ea04-4e8a-9b1e-f615e486ed1e nextflow run main.nf -profile conda,test_export_lb +2025-10-21 11:53:26 23.1s distracted_tuckerman ERR 1309f0cb95240182edb1216ee125c0e6 b7c4133e-43d3-443a-bc32-b5d59028eadc nextflow run main.nf -profile conda,test_export_lb +2025-10-21 11:55:29 22.2s sick_galileo ERR 1309f0cb95240182edb1216ee125c0e6 91e4e8cc-db78-4167-a9d6-4eeb596dcdf9 nextflow run main.nf -profile conda,test_export_lb +2025-10-21 11:57:02 25.1s distraught_rubens OK 1309f0cb95240182edb1216ee125c0e6 60236dfd-d34f-4cf5-9fa5-c3e1b4908b7a nextflow run main.nf -profile conda,test_export_lb +2025-10-21 12:00:52 25.4s goofy_gauss OK 1309f0cb95240182edb1216ee125c0e6 951ecab3-e97d-4a18-8e94-e96f08be5a7b nextflow run main.nf -profile conda,test_export_lb +2025-10-21 12:02:20 24.5s furious_faggin OK 1309f0cb95240182edb1216ee125c0e6 f0d3793a-ef4c-46ca-a59c-5d50bee98b54 nextflow run main.nf -profile conda,test_export_lb diff --git a/conf/base.config b/conf/base.config index 13171f4..3337dc6 100644 --- a/conf/base.config +++ b/conf/base.config @@ -31,9 +31,9 @@ process { time = { 12.h * task.attempt } } withLabel:process_multi { - cpus = { 4 * task.attempt } - memory = { 25.GB * task.attempt } - time = { 6.h * task.attempt } + cpus = { 6 * task.attempt } + memory = { 30.GB * task.attempt } + time = { 4.h * task.attempt } } withLabel:process_high_memory { memory = { 64.GB * task.attempt } diff --git a/conf/test.config b/conf/test.config index 5194228..f52b62c 100644 --- a/conf/test.config +++ b/conf/test.config @@ -1,38 +1,36 @@ -// A prototype for a test configuration file profiles { - test { - params { - summarystats_input = "${projectDir}/example_data/example_data_finemapping_input_table.tsv" - run_liftover = true - is_test_profile = true - large_locus_size = 1000000 - } - } - test_long { - params { - summarystats_input = "${projectDir}/example_data/example_data_finemapping_input_table_long.tsv" - run_liftover = false - is_test_profile = true - large_locus_size = 1000000 - } - } - test_tiledb { - params { - tiledb = true - tiledb_uri = "${projectDir}/example_data/TileDB_test" - tiledb_batch_size = 2 - path_tiledb_lb_out = "out" - tiledb_lb_maf = 0.01 - tiledb_lb_typesumstat = "gwas" - tiledb_lb_hole = 250000 - tiledb_metadata_file = "${projectDir}/example_data/example_data_tiledb_metadata.csv" - tiledb_bfile = "${projectDir}/example_data/ld/1KG_phase3_hg37_1:10546866-11576788_alpha_sorted_alleles" - tiledb_cs_thresh = 0.99 - is_test_profile = true - tiledb_large_locus_size = 1000000 - workers = 4 - run_colocalization = true - } - } -} + test { + params { + ingest = true + file_path_ingestion = "${projectDir}/example_data/example_data_table.csv" + mapping_file = "${projectDir}/example_data/mapping_file_test.csv" + ingestion = true + type_sumstat = "qtl" + qc = false + ingestion_chunk_files = 2 + tiledb_name = "test" + outdir = "./results" // Add this missing parameter + publish_dir_mode = 'copy' // Add this missing parameter + } + } + + test_export_lb { + params { + export = true + tiledb_path = "${projectDir}/example_data/TileDB_test" + locusbreaker = true + out = "out" + type_sumstat = "qtl" + hole_lb = 250000 + tiledb_batch_size = 3 + maf_lb = 0.001 + locus_max_size_lb = 3000000 + cis_trans_lb = "cis" + table_lb = "${projectDir}/example_data/locusbreaker_test_table.csv" + batch_name_lb = null + outdir = "./results" // Add this missing parameter + publish_dir_mode = 'copy' // Add this missing parameter + } + } +} \ No newline at end of file diff --git a/example_data/example_data_table.csv b/example_data/example_data_table.csv new file mode 100644 index 0000000..96c40cb --- /dev/null +++ b/example_data/example_data_table.csv @@ -0,0 +1,10 @@ +FILE +/project/cardinal/QTLs/step02_MASHR/mashr_obj/MASHR_ENSG00000000457_results.tsv +/project/cardinal/QTLs/step02_MASHR/mashr_obj/MASHR_ENSG00000000460_results.tsv +/project/cardinal/QTLs/step02_MASHR/mashr_obj/MASHR_ENSG00000000938_results.tsv +/project/cardinal/QTLs/step02_MASHR/mashr_obj/MASHR_ENSG00000000971_results.tsv +/project/cardinal/QTLs/step02_MASHR/mashr_obj/MASHR_ENSG00000001036_results.tsv +/project/cardinal/QTLs/step02_MASHR/mashr_obj/MASHR_ENSG00000001084_results.tsv +/project/cardinal/QTLs/step02_MASHR/mashr_obj/MASHR_ENSG00000001167_results.tsv +/project/cardinal/QTLs/step02_MASHR/mashr_obj/MASHR_ENSG00000001460_results.tsv +/project/cardinal/QTLs/step02_MASHR/mashr_obj/MASHR_ENSG00000001461_results.tsv diff --git a/example_data/locusbreaker_test_table.csv b/example_data/locusbreaker_test_table.csv new file mode 100644 index 0000000..22c0798 --- /dev/null +++ b/example_data/locusbreaker_test_table.csv @@ -0,0 +1,10 @@ +CHR,TRAIT,SIG,LIM +6,NK_CD56bright:ENSG00000001167,5e-2,5e-2 +6,NK_CD56bright:ENSG00000001084,5e-2,5e-2 +6,NK_CD56bright:ENSG00000001036,5e-2,5e-2 +1,NK_CD56bright:ENSG00000000938,5e-2,5e-2 +1,NK_CD56bright:ENSG00000000457,5e-2,5e-2 +1,NK_CD56bright:ENSG00000000971,5e-2,5e-2 +1,NK_CD56bright:ENSG00000000460,5e-2,5e-2 +1,NK_CD56bright:ENSG00000001460,5e-2,5e-2 +1,NK_CD56bright:ENSG00000001461,5e-2,5e-2 diff --git a/example_data/mapping_file_test.csv b/example_data/mapping_file_test.csv new file mode 100644 index 0000000..4463373 --- /dev/null +++ b/example_data/mapping_file_test.csv @@ -0,0 +1,10 @@ +Chr,CHR +Gene,GENE +cell.type,CELL +pos,POS +a0,A1 +a1,A2 +p,P +N,N +beta,BETA +se,SE diff --git a/main.nf b/main.nf index e69de29..5b31741 100644 --- a/main.nf +++ b/main.nf @@ -0,0 +1,58 @@ +include { INGEST_DATA } from "./modules/ingestion" +include { CREATE_TILEDB } from "./modules/create_tiledb" +include { EXPORT_LOCUSBREAKER } from "./modules/locusbreaker" +include { EXPORT_REGIONS } from "./modules/regions" +include { MERGE_METADATA } from "./modules/merge_metadata" + + +workflow { + if (params.ingest){ + Channel.fromPath(params.file_path_ingestion, checkIfExists:true) + .splitText(by: params.ingestion_chunk_files, keepHeader: true, file: true) + .set { list_files } + mapping_file = Channel.fromPath(params.mapping_file, checkIfExists:true) + + create_tiledb = CREATE_TILEDB(mapping_file, Channel.of('dummy')) + + // Pass the TileDB array through all ingestion steps + ingestion_results = INGEST_DATA(create_tiledb.tiledb_storage, list_files, mapping_file, create_tiledb.dummy_file) + + // Collect all completion signals + all_metadata_parts = ingestion_results.metadata_parts.collect() + all_ingestion_done = ingestion_results.ingestion_done.collect() + + // Use the updated TileDB array from the last ingestion process + // Get one instance of the updated TileDB array (they should all be the same) + updated_tiledb = ingestion_results.tiledb_updated.first() + + // After all ingestion is done, merge metadata using the updated TileDB + merged_metadata = MERGE_METADATA(updated_tiledb, mapping_file, all_metadata_parts, all_ingestion_done) + + // The final output will be in merged_metadata.tiledb_final + } + if (params.export){ + if (params.snp_list){ + + } + if (params.regions){ + + } + if (params.sumstat){ + + } + if (params.locusbreaker){ + Channel.fromPath(params.table_lb, checkIfExists:true) + .splitText(by: params.tiledb_batch_size, keepHeader: true, file: true) + .map { batch_file -> + def batch_index = (batch_file.name =~ /\.(\d+)\.csv$/)[0][1] + tuple(batch_index, batch_file) + }.set { tiledb_metadata_batches } + + tiledb_metadata_batches.view() + + EXPORT_LOCUSBREAKER(tiledb_metadata_batches) + } + + } + +} \ No newline at end of file diff --git a/modules/create_metadata/main.nf b/modules/create_metadata/main.nf deleted file mode 100644 index 0bc6c39..0000000 --- a/modules/create_metadata/main.nf +++ /dev/null @@ -1,37 +0,0 @@ -#!/usr/bin/env nextflow - -process LOCUS_BREAKER_TILEDB { - label "process_multi" - // conda '/ssu/gassu/conda_envs/scqtl' - conda '/software/cardinal_analysis/ht/conda_envs/scqtl' - - publishDir "${params.outdir}/results/gwas_and_loci_tables/", mode: params.publish_dir_mode - - -// Define input - input: - tuple val(batch_index), path(traits_list_table) - -// Define output - output: - path("*_interval.csv"), emit:locus_breaker_tdb_intervals, optional: true - tuple path("dummy_index"), path("*_segment.csv"), emit:locus_breaker_tdb_segments, optional: true - -// Define the shell script to execute - script: - """ - scqtl --workers ${params.workers} \ - export \ - --table ${traits_list_table} \ - --uri-path ${params.tiledb_uri} \ - --out_lb "out" \ - --maf ${params.tiledb_lb_maf} \ - --type-sumstat ${params.tiledb_lb_typesumstat} \ - --hole ${params.tiledb_lb_hole} \ - --locus-max-size ${params.tiledb_large_locus_size} \ - --locusbreaker \ - --batch-name ${batch_index} - - touch dummy_index - """ -} diff --git a/modules/create_tiledb/main.nf b/modules/create_tiledb/main.nf new file mode 100644 index 0000000..2fde386 --- /dev/null +++ b/modules/create_tiledb/main.nf @@ -0,0 +1,26 @@ +#!/usr/bin/env nextflow + +process CREATE_TILEDB { + label "process_single" + conda '/ssu/gassu/conda_envs/scqtl' + publishDir "${params.outdir}/TileDB/", mode: 'copy' + + input: + path(mapping_file) + val dummy + // Define output + output: + path "TileDB_${params.tiledb_name}", emit: tiledb_storage + path "dummy_file", emit: dummy_file + + // Define the shell script to execute + script: + """ + touch dummy_file + + scqtl ingest --uri-path TileDB_${params.tiledb_name} \ + --create-tiledb \ + --mapping-file ${mapping_file} \ + --type-sumstat ${params.type_sumstat} + """ +} \ No newline at end of file diff --git a/modules/ingestion/main.nf b/modules/ingestion/main.nf index f16a056..95a4d57 100644 --- a/modules/ingestion/main.nf +++ b/modules/ingestion/main.nf @@ -1,31 +1,40 @@ #!/usr/bin/env nextflow -process LOCUS_BREAKER_TILEDB { +process INGEST_DATA { label "process_multi" - // conda '/ssu/gassu/conda_envs/scqtl' - conda '/software/cardinal_analysis/ht/conda_envs/scqtl' - - publishDir "${params.outdir}/results/gwas_and_loci_tables/", mode: params.publish_dir_mode + conda '/ssu/gassu/conda_envs/scqtl' + publishDir "${params.outdir}/TileDB/", mode: 'copy' // Define input input: - tuple path(traits_list_table_ingest) + path(tiledb) + each path(list_files) + path(mapping_file) + path(dummy_file) // Define output output: - path("tiledb_uri"), emit:tiledb_storage, optional: true - path("metadata.csv"), emit:metadata + path("metadata_parts_${list_files.name}"), emit: metadata_parts + path("ingestion_complete_${list_files.name}"), emit: ingestion_done + path("${tiledb}"), emit: tiledb_updated // Define the shell script to execute script: + def qc = params.qc ? "--qc" : "" """ - scqtl --workers ${params.workers} --memory_w ${params.memory_w} \ - ingest - --uri-path ${params.tiledb_uri} \ - --file-path ${traits_list_table_ingest} \ + scqtl ingest \ + --uri-path TileDB_${params.tiledb_name}\ + --file-path ${list_files} \ --mapping-file ${mapping_file} \ --type-sumstat ${params.type_sumstat} \ - --chunk-files ${meta}\ + ${qc} + + # Copy all metadata JSON files to a unique directory for output + mkdir -p metadata_parts_${list_files.name} + cp -v ${tiledb}_metadata_parts/*.json metadata_parts_${list_files.name}/ || true + + # Create a dummy file to signal completion + touch ingestion_complete_${list_files.name} """ } diff --git a/modules/locusbreaker/main.nf b/modules/locusbreaker/main.nf index 0bc6c39..b395922 100644 --- a/modules/locusbreaker/main.nf +++ b/modules/locusbreaker/main.nf @@ -1,11 +1,10 @@ #!/usr/bin/env nextflow -process LOCUS_BREAKER_TILEDB { +process EXPORT_LOCUSBREAKER { label "process_multi" - // conda '/ssu/gassu/conda_envs/scqtl' - conda '/software/cardinal_analysis/ht/conda_envs/scqtl' + conda '/ssu/gassu/conda_envs/scqtl' - publishDir "${params.outdir}/results/gwas_and_loci_tables/", mode: params.publish_dir_mode + publishDir "${params.outdir}/gwas_and_loci_tables", mode: params.publish_dir_mode // Define input @@ -15,23 +14,20 @@ process LOCUS_BREAKER_TILEDB { // Define output output: path("*_interval.csv"), emit:locus_breaker_tdb_intervals, optional: true - tuple path("dummy_index"), path("*_segment.csv"), emit:locus_breaker_tdb_segments, optional: true + path("*_segment.csv"), emit:locus_breaker_tdb_segments, optional: true // Define the shell script to execute script: """ - scqtl --workers ${params.workers} \ - export \ - --table ${traits_list_table} \ - --uri-path ${params.tiledb_uri} \ - --out_lb "out" \ - --maf ${params.tiledb_lb_maf} \ - --type-sumstat ${params.tiledb_lb_typesumstat} \ - --hole ${params.tiledb_lb_hole} \ - --locus-max-size ${params.tiledb_large_locus_size} \ + scqtl export \ + --table-lb ${traits_list_table} \ + --tiledb-path ${params.tiledb_path} \ + --out ${params.out} \ + --maf-lb ${params.maf_lb} \ + --type-sumstat ${params.type_sumstat} \ + --hole-lb ${params.hole_lb} \ + --locus-max-size-lb ${params.locus_max_size_lb} \ --locusbreaker \ - --batch-name ${batch_index} - - touch dummy_index + --batch-name-lb ${batch_index} """ } diff --git a/modules/merge_metadata/main.nf b/modules/merge_metadata/main.nf new file mode 100644 index 0000000..4fb41c5 --- /dev/null +++ b/modules/merge_metadata/main.nf @@ -0,0 +1,41 @@ +process MERGE_METADATA { + label "process_single" + conda '/ssu/gassu/conda_envs/scqtl' + publishDir "${params.outdir}/TileDB/", mode: 'copy' + + input: + path(tiledb) + path(mapping_file) + path(metadata_parts) + path(ingestion_signals) + + output: + path("${tiledb}"), emit: tiledb_final + path("TileDB_${params.tiledb_name}_metadata.csv"), emit: metadata + path("tiledb_with_metadata"), emit: completion_signal + + script: + """ + # Create the main metadata_parts directory + mkdir -p TileDB_${params.tiledb_name}_metadata_parts + + # Copy all JSON files from all input directories + for parts_dir in ${metadata_parts}; do + if [ -d "\$parts_dir" ]; then + cp -v "\$parts_dir"/*.json TileDB_${params.tiledb_name}_metadata_parts/ 2>/dev/null || true + fi + done + + echo "Total JSON files collected:" + ls TileDB_${params.tiledb_name}_metadata_parts/*.json 2>/dev/null | wc -l || echo "0" + + scqtl ingest \ + --uri-path ${tiledb} \ + --mapping-file ${mapping_file} \ + --type-sumstat ${params.type_sumstat} \ + --only-meta + + # Signal that metadata merge is complete + touch tiledb_with_metadata + """ +} \ No newline at end of file diff --git a/modules/regions/main.nf b/modules/regions/main.nf index 0bc6c39..48dce3c 100644 --- a/modules/regions/main.nf +++ b/modules/regions/main.nf @@ -1,6 +1,6 @@ #!/usr/bin/env nextflow -process LOCUS_BREAKER_TILEDB { +process EXPORT_REGIONS { label "process_multi" // conda '/ssu/gassu/conda_envs/scqtl' conda '/software/cardinal_analysis/ht/conda_envs/scqtl' @@ -31,7 +31,5 @@ process LOCUS_BREAKER_TILEDB { --locus-max-size ${params.tiledb_large_locus_size} \ --locusbreaker \ --batch-name ${batch_index} - - touch dummy_index """ } diff --git a/nextflow.config b/nextflow.config new file mode 100644 index 0000000..835f77c --- /dev/null +++ b/nextflow.config @@ -0,0 +1,157 @@ +params { + // -- TileDB general -- + + tiledb_name = null + type_sumstat =null + + // -- TileDB ingestion -- + ingest = null + file_path_ingestion = null + mapping_file = null + ingestion = null + qc = null + ingestion_chunk_files = null + outdir = "./results" + publish_dir_mode = 'copy' + + // -- TileDB export + export = null + attr = "P,SNPID,EAF,BETA,SE" + tiledb_path = null + snp_list = null + regions = null + sumstat = null + + // -- Locusbreaker options -- + locusbreaker = null + hole_lb = null + maf_lb = null + locus_max_size_lb = null + cis_trans_lb = null + table_lb = null + tiledb_batch_size = null + batch_name_lb = null + +} + +includeConfig 'conf/base.config' + +// Computational environments +profiles { + conda { + conda.enabled = true + docker.enabled = false + singularity.enabled = false + podman.enabled = false + shifter.enabled = false + charliecloud.enabled = false + conda.channels = ['conda-forge', 'bioconda'] + apptainer.enabled = false + } + mamba { + conda.enabled = true + conda.useMamba = true + docker.enabled = false + singularity.enabled = false + podman.enabled = false + shifter.enabled = false + charliecloud.enabled = false + apptainer.enabled = false + } + docker { + docker.enabled = true + conda.enabled = false + singularity.enabled = false + podman.enabled = false + shifter.enabled = false + charliecloud.enabled = false + apptainer.enabled = false + docker.runOptions = '-u $(id -u):$(id -g)' + } + singularity { + singularity.enabled = true + singularity.autoMounts = true + conda.enabled = false + docker.enabled = false + podman.enabled = false + shifter.enabled = false + charliecloud.enabled = false + apptainer.enabled = false + } + podman { + podman.enabled = true + conda.enabled = false + docker.enabled = false + singularity.enabled = false + shifter.enabled = false + charliecloud.enabled = false + apptainer.enabled = false + } + shifter { + shifter.enabled = true + conda.enabled = false + docker.enabled = false + singularity.enabled = false + podman.enabled = false + charliecloud.enabled = false + apptainer.enabled = false + } + charliecloud { + charliecloud.enabled = true + conda.enabled = false + docker.enabled = false + singularity.enabled = false + podman.enabled = false + shifter.enabled = false + apptainer.enabled = false + } + apptainer { + apptainer.enabled = true + apptainer.autoMounts = true + conda.enabled = false + docker.enabled = false + singularity.enabled = false + podman.enabled = false + shifter.enabled = false + charliecloud.enabled = false + } + wave { + apptainer.ociAutoPull = true + singularity.ociAutoPull = true + wave.enabled = true + wave.freeze = true + wave.strategy = 'conda,container' + } + test { includeConfig 'conf/test.config' } + test_export_lb { includeConfig 'conf/test.config' } +} + +// Set filename and location for timeline, report, trace and dag +def trace_timestamp = new java.util.Date().format( 'yyyy-MM-dd_HH-mm-ss') +timeline { + enabled = true + file = "${params.outdir}/pipeline_info/execution_timeline_${trace_timestamp}.html" +} +report { + enabled = true + file = "${params.outdir}/pipeline_info/execution_report_${trace_timestamp}.html" +} +trace { + enabled = true + file = "${params.outdir}/pipeline_info/execution_trace_${trace_timestamp}.txt" +} +dag { + enabled = true + file = "${params.outdir}/pipeline_info/pipeline_dag_${trace_timestamp}.html" +} + +manifest { + name = 'TileDB-Sumstat' + author = """Bruno Ariano""" + homePage = 'https://github.com/HTGenomeAnalysisUnit/TileDB-sumstat.git' + description = """Pipeline to store and Query summary statistics data""" + mainScript = 'main.nf' + nextflowVersion = '!>=24.04' + version = '0.1.0' + doi = '' +} diff --git a/scqtl/cli/export.py b/scqtl/cli/export.py index 67f4e68..d549049 100755 --- a/scqtl/cli/export.py +++ b/scqtl/cli/export.py @@ -2,12 +2,11 @@ import click import cloup import pandas as pd -from dask import delayed, compute from scqtl.utils.locusbreaker_plpl import locusbreaker_plpl -import numpy as np import os import json import polars as pl +import random help_doc = """ Query TileDB database and export data. @@ -16,64 +15,49 @@ @cloup.command("export", no_args_is_help=True, help=help_doc) @cloup.option_group( "Options for querying specific chromosomes, cells, genes or positions in the TileDB", - cloup.option("--uri-path", default = None, type=str, help = "path of TileDB"), - cloup.option("--chrom", default = None, type=int, help = "chromosome to filter (e.g. 1,2,3,4)"), - cloup.option("--trait", default = None, type=str, help = "Cell to interrogate"), - cloup.option("--cell", default = None, type=str, help = "Cell to interrogate"), - cloup.option("--gene", default = None, type=str, help = "Genes to interrogate"), - cloup.option("--table_regions", default = None, type=str, help = "Regions to interrogate from a table"), + cloup.option("--tiledb-path", default = None, type=str, help = "path of TileDB"), + cloup.option("--table-regions", default = None, type=str, help = "Regions to interrogate from a table"), + cloup.option("--trait", default = None, type=str, help = "Trait to filter the for an entire summary statistics"), cloup.option("--attr", default = "P,SNPID,EAF,BETA,SE", type=str, help = "Attributes to output"), cloup.option("--snp", default = None, type=str, help = "List of SNPs to interrogate taken from a txt file. Please check README for details on the format of this file") ) - -@cloup.option_group( - "Options for getting info from TileDB", - cloup.option("--schema", is_flag=True, type=bool, default = False, help="Option to print on screen the schema of the TileDB used"), -) @cloup.option_group( "Options for Locusbreaker", cloup.option("--locusbreaker", is_flag=True, type=bool, default = False, help="Option to run locusbreaker"), - cloup.option("--hole", default = 250000, type=int, help = "Minimum pair-base distance between SNPs in different loci (default: 250000)"), - cloup.option("--maf", default = 0.001, type=float, help = "The MAF to filter the TILEDB before locusbreaker is run"), - cloup.option("--locus-max-size", default = 3000000, type=float, help = "The maximum size allowed for the locus. Default: 1Mb"), - cloup.option("--category",default = "cis",type=str, help = "If locusbreaker run on cis or trans QLTs"), - cloup.option("--table", default = None, type=str, help = "Path of the table to provide"), + cloup.option("--hole-lb", default = 250000, type=int, help = "Minimum pair-base distance between SNPs in different loci (default: 250000)"), + cloup.option("--maf-lb", default = 0.001, type=float, help = "The MAF to filter the TILEDB before locusbreaker is run"), + cloup.option("--locus-max-size-lb", default = 3000000, type=float, help = "The maximum size allowed for the locus. Default: 1Mb"), + cloup.option("--cis-trans-lb",default = "cis",type=str, help = "If locusbreaker run on cis or trans QLTs"), + cloup.option("--table-lb", default = None, type=str, help = "Path of the table to provide"), cloup.option("--type-sumstat", default = None, type=str, help = "Type of summary data"), - cloup.option("--batch-name", default = None, type=str, help = "Name of the batch"), + cloup.option("--batch-name-lb", default = None, type=str, help = "Name of the batch"), ) @cloup.option_group( "Options for output", - cloup.option("--out_lb", default = "out", type=str, help = "Output path with file name where results will be stored"), - cloup.option("--out_rg", default = "out", type=str, help = "Output path with file name where results will be stored") + cloup.option("--out", default = "out", type=str, help = "Output path with file name where results will be stored"), ) @click.pass_context def export( ctx, - uri_path: str, - schema: bool, - chrom:int, - cell: str, - gene: str, + tiledb_path: str, type_sumstat: str, - trait: str, table_regions: str, + trait:str, attr: str, snp: str, locusbreaker: bool, - maf: float, - category: str, - table: str, - hole: int, - out_lb: str, - out_rg: str, - locus_max_size: int, - batch_name:str + maf_lb: float, + cis_trans_lb: str, + table_lb: str, + hole_lb: int, + out: str, + locus_max_size_lb: int, + batch_name_lb:str ): - #Open connection with TileDB - tiledb_export = tiledb.open(uri_path, mode="r") - metadata = json.loads(tiledb_export.meta["metadata"]) + tiledb_export = tiledb.open(tiledb_path, mode="r") + metadata = json.loads(tiledb_export.meta["merged_metadata"]) rows = [] if type_sumstat == "qtl": for cell in metadata["CELL"]: @@ -94,58 +78,46 @@ def export( **metadata[trait] }) df_meta = pl.DataFrame(rows) - - - client = ctx.obj.get("dask_cluster", None) - if client: - print(f"Dask client: {client}") - print(f"Cluster info: {client.scheduler_info()}") - print(f"Active workers: {len(client.scheduler_info()['workers'])}") - else: - print("WARNING: Running in sequential mode - no Dask client found!") #Print only the schema of the tiledb - #Get list of genes, cell type and positions or create ones unique_positions = slice(None) - if not chrom: - chrom = slice(None) - if not cell: - cell = slice(None) - if not gene: - gene = slice(None) if not trait: trait = slice(None) - - if schema: - print(tiledb_export.schema) - #Intersect the tiledb with a list of SNPs if snp: - snp_list = pd.read_csv(snp, dtype = {"CHR":int, "POS":np.uint32, "TRAIT":str}) - chrom_list = snp_list['CHR'].unique().tolist() + snp_list = pd.read_csv(snp, dtype = {"CHR":int, "POS":np.uint32, "TRAIT":str}) if type_sumstat == "gwas": - header_file = "CHR,TRAIT,POS,SNPID,EAF,BETA,SE,P" + header_file = "CHR,TRAIT,POS,SNPID" + "," + attr + trait_list = snp_list['TRAIT'].unique().tolist() else: - header_file = "CHR,CELL,GENE,POS,SNPID,EAF,BETA,SE,P" - trait_list = snp_list['TRAIT'].unique().tolist() - out_file = out_rg + ".csv" + header_file = "CHR,POS,SNPID" + "," + attr + ",TRAIT" + snp_list[["CELL","GENE"]] = snp_list["TRAIT"].str.split(":", n = 2, expand = True) + trait_list = snp_list['CELL'].unique().tolist() + out_file = out + ".csv" with open(out_file, "w") as f: f.write(header_file + "\n") - #Open a streaming connection with TileDB for trait in trait_list: + if type_sumstat == "gwas": + chrom_list = snp_list[snp_list['TRAIT']==trait]['CHR'].unique().tolist() + else: + chrom_list = snp_list[snp_list['CELL']==trait]['CHR'].unique().tolist() for chrom in chrom_list: - snp_list_chr = snp_list[snp_list['CHR']==chrom] - unique_positions = snp_list_chr['POS'].unique().tolist() + if type_sumstat == "gwas": + snp_list_refined = snp_list[(snp_list['CHR']==chrom) & (snp_list['TRAIT']==trait)]['POS'].unique().tolist() + else: + snp_list_refined = snp_list[(snp_list['CHR']==chrom) & (snp_list['TRAIT']==trait)]['POS'].unique().tolist() if type_sumstat == "gwas": tiledb_query = tiledb_export.query( attrs=attr.split(",") - ).df[chrom, trait ,unique_positions] + ).df[chrom, trait ,snp_list_refined] else: tiledb_query = tiledb_export.query( attrs=attr.split(",") - ).df[chrom, cell , gene, unique_positions] - tiledb_query.to_csv(out_rg + ".csv", mode="a", index=False, header = False) - client.close() + ).df[chrom, trait , :, snp_list_refined] + tiledb_query["TRAIT"] = tiledb_query["CELL"] + ":" + tiledb_query["GENE"] + tiledb_query = tiledb_query.drop(['CELL', 'GENE'], axis = 1) + merged_df = tiledb_query.merge(snp_list.drop(['CELL','GENE'], axis = 1), on = ["CHR","TRAIT", "POS"]) + merged_df.to_csv(out + ".csv", mode="a", index=False, header = False) elif table_regions: pd_region = pd.read_csv(table_regions) counter_nonempty_region = 0 @@ -158,74 +130,59 @@ def export( region = tiledb_export.query(dims = ["CHR","POS","CELL","GENE"], attrs = attr.split(",")).df[int(row["CHR"]),cell,gene,int(row["START"]):int(row["END"])] if len(region)>0: if counter_nonempty_region==0: - region.to_csv(out_rg, mode='a', index = False, header = True) + region.to_csv(out, mode='a', index = False, header = True) counter_nonempty_region +=1 else: - region.to_csv(out_rg, mode='a', index = False, header = False) - if client: - print("Shutting down Dask cluster...") - client.close() - + region.to_csv(out, mode='a', index = False, header = False) elif locusbreaker: print("Starting LocusBreaker") - tasks = [] - #Defining the Dask functions for delayed - @delayed - def query_spec(uri_path, chrom:int, trait: str = None, cell: str = None, gene: str = None, type_sumstat:str = "scqtl"): - with tiledb.open(uri_path, mode="r") as tiledb_data: + def query_spec(tiledb_path, chrom:int, trait: str = None, cell: str = None, gene: str = None, type_sumstat:str = "scqtl"): + with tiledb.open(tiledb_path, mode="r") as tiledb_data: if type_sumstat == "gwas": tiledb_filtered = tiledb_data.query(dims=['CHR','TRAIT','POS']).df[chrom, trait, :] else: tiledb_filtered = tiledb_data.query(dims=['CHR','CELL','GENE','POS'], return_arrow=True).df[chrom, cell ,gene , :] return tiledb_filtered - @delayed - def delayed_locus_breaker(tiledb_data, maf, pvalue_sig, pvalue_limit, locus_max_size, hole_size, category, metadata, type_sumstat = "scqtl"): - # Call locus_breaker with the computed tiledb_data + def locus_breaker(tiledb_data, maf, pvalue_sig, pvalue_limit, locus_max_size, hole_size, cis_trans_lb, metadata, type_sumstat = "scqtl"): return locusbreaker_plpl(tiledb_data, maf = maf, pvalue_sig=pvalue_sig, pvalue_limit=pvalue_limit, locus_max_size = locus_max_size, - hole_size=hole_size, category = category, type_sumstat = type_sumstat, metadata = metadata) - traits = pd.read_csv(table) + hole_size=hole_size, cis_trans_lb = cis_trans_lb, type_sumstat = type_sumstat, metadata = metadata) + traits = pd.read_csv(table_lb) traits = traits.astype({'CHR': 'int16'}) - #for chrom, group in traits.groupby("CHR"): for index, trait in traits.iterrows(): - #chunk = group.iloc[i:i+1] if "SIG" in traits.columns: - # Assuming pvalue_sig and pvalue_limit are the same for the chunk - # or we can take the first one. pvalue_sig = trait["SIG"] pvalue_limit = trait["LIM"] if type_sumstat == "gwas": - query = query_spec(uri_path, trait["CHR"], trait=trait["TRAIT"], type_sumstat=type_sumstat) + query = query_spec(tiledb_path, trait["CHR"], trait=trait["TRAIT"], type_sumstat=type_sumstat) else: cell,genes = trait["TRAIT"].split(":") - query = query_spec(uri_path, trait["CHR"], cell=cell, gene=genes, type_sumstat=type_sumstat) + query = query_spec(tiledb_path, trait["CHR"], cell=cell, gene=genes, type_sumstat=type_sumstat) - # The call to delayed_locus_breaker remains the same, but it now processes a batch. - task = delayed_locus_breaker(query, - maf=maf, + result = locus_breaker(query, + maf=maf_lb, pvalue_sig=pvalue_sig, pvalue_limit=pvalue_limit, - locus_max_size=locus_max_size, - hole_size=hole, - category=category, + locus_max_size=locus_max_size_lb, + hole_size=hole_lb, + cis_trans_lb=cis_trans_lb, type_sumstat=type_sumstat, metadata = df_meta) - tasks.append(task) - batch_results = compute(*tasks,scheduler='distributed') # Compute the batch - for result in batch_results: - if not len(result) == 0 and not result[0].empty: - if result and isinstance(result[0], pd.DataFrame) and not result[0].shape[0] == 0: + + if not len(result) == 0 and not result[0].empty: + if result and isinstance(result[0], pd.DataFrame) and not result[0].shape[0] == 0: interval = result[0] segments = result[1] - write_header_interval = not os.path.exists(f"{out_lb}_batch_{batch_name}_interval.csv") - write_header_segment = not os.path.exists(f"{out_lb}_batch_{batch_name}_segment.csv") - interval.to_csv(f"{out_lb}_batch_{batch_name}_interval.csv", mode="a", index=False, header = write_header_interval) - segments.to_csv(f"{out_lb}_batch_{batch_name}_segment.csv", mode="a", index=False, header = write_header_segment) + if not batch_name_lb: + batch_name_lb = random.randint(1, 10000000) - #If no SNP or locusbreker is run only a filtering is done + write_header_interval = not os.path.exists(f"{out}_batch_{batch_name_lb}_interval.csv") + write_header_segment = not os.path.exists(f"{out}_batch_{batch_name_lb}_segment.csv") + interval.to_csv(f"{out}_batch_{batch_name_lb}_interval.csv", mode="a", index=False, header = write_header_interval) + segments.to_csv(f"{out}_batch_{batch_name_lb}_segment.csv", mode="a", index=False, header = write_header_segment) else: - with tiledb.open(uri_path, mode="r") as A: + with tiledb.open(tiledb_path, mode="r") as A: if type_sumstat == "gwas": tiledb_iterator = A.query( return_incomplete=True, @@ -238,16 +195,5 @@ def delayed_locus_breaker(tiledb_data, maf, pvalue_sig, pvalue_limit, locus_max_ ).df[chrom, cell, gene , unique_positions] for chunk in tiledb_iterator: - chunk.to_csv(out_rg + ".csv", mode="a", index=False, header = True) - print(f"Saved filtered summary statistics in {out_rg}") - if client: - print("Shutting down Dask cluster...") - client.close() - exit() - if client: - print("Shutting down Dask cluster...") - client.close() - - - - + chunk.to_csv(out + ".csv", mode="a", index=False, header = True) + print(f"Saved filtered summary statistics in {out}") diff --git a/scqtl/cli/ingestion.py b/scqtl/cli/ingestion.py index 7913cb0..d0fc117 100755 --- a/scqtl/cli/ingestion.py +++ b/scqtl/cli/ingestion.py @@ -4,7 +4,6 @@ import click import cloup from scqtl.utils.harmonize_ingest import Harmonize -#import dask import pandas as pd import polars as pl @@ -12,6 +11,7 @@ @cloup.option_group( "Essential parameters", cloup.option("--uri-path", default = None, type=str, help = "Where to store the TileDB"), + cloup.option("--create-tiledb", is_flag=True, type=bool, help = "Create the TileDB before ingestion"), cloup.option("--file-path", default = None, type=str, help = "List of the files to ingest"), cloup.option("--mapping-file", default = None, type=str, help = "Mapping between columns and TileDB types"), cloup.option("--type-sumstat", default = "qtl", type=str, help = "Either gwas or qtl, to specify the type of summary statistics being ingested. This is used to harmonize the data accordingly."), @@ -21,23 +21,27 @@ "Optional parameters", cloup.option("--pvar-file", default = None, type=str, help = "pvar file used to verify the alleles order"), cloup.option("--sep", default = "\t", type=str, help = "pvar file used to verify the alleles order"), - cloup.option("--chunk-files", is_flag=True, type=bool, default = False, help = "If chunk files in block"), - cloup.option("--chunk-size", default = 20000000, type=int, help = "The approximate number of rows to ingest at once"), cloup.option("--qc", is_flag=True, type=bool, default = False, help = "Harmonize and QC the summary statistics using gwaslab"), cloup.option("--only-meta", is_flag=True, type=bool, default = False, help = "Create and ingest metadata") ) -def ingest(uri_path:str, sep:str, type_trait:str, mapping_file:str, chunk_files:bool, chunk_size:int, file_path:str, type_sumstat:str, pvar_file:str = None, qc:bool = False, only_meta:bool = False): - file_list = pd.read_csv(file_path, sep=",", header=0, dtype=str) +def ingest(uri_path:str, sep:str, type_trait:str, mapping_file:str, file_path:str, create_tiledb:bool, type_sumstat:str, pvar_file:str = None, qc:bool = False, only_meta:bool = False): # Create a Harmonize object + print("Starting ingestion") harmonized_object = Harmonize(mapping_file= mapping_file, uri=uri_path, type_sumstat=type_sumstat, pvar_file = pvar_file, type_trait = type_trait) #Check if the tiledb already exists, if not create it - if not os.path.exists(uri_path): + if create_tiledb: print(f"Creating TileDB at {uri_path}") harmonized_object.create_tiledb() - else: - print(f"TileDB already exists at {uri_path}, skipping creation.") + return + + if only_meta: + print("Merging individual metadata files into final metadata") + harmonized_object.merge_metadata_files() + return + + file_list = pd.read_csv(file_path, sep=",", header=0, dtype=str) harmonized_object.create_mapping() cell = None gene = None @@ -45,8 +49,7 @@ def ingest(uri_path:str, sep:str, type_trait:str, mapping_file:str, chunk_files: n = None n_cases = None n_controls = None - buffer_pl = None - buffer_count = 0 + for record_index, record in file_list.iterrows(): file = record["FILE"] if "N" in file_list.columns: @@ -71,46 +74,13 @@ def ingest(uri_path:str, sep:str, type_trait:str, mapping_file:str, chunk_files: # Harmonize the data print(f"Harmonizing file: {file}") chunk_pl = pl.read_csv(file,separator=sep,low_memory=True ,null_values="NA") - if chunk_files: - file_len = len(chunk_pl) - # Start or extend the buffer - if buffer_pl is None: - buffer_pl = chunk_pl - buffer_count = file_len - else: - buffer_pl = pl.concat([buffer_pl, chunk_pl]) - buffer_count += file_len - - # If the buffer reached chunk_size, process it - if buffer_count >= chunk_size or file in file_list.iloc[-1:]["FILE"].values: - print(f"Processing buffered chunk of size {buffer_count}") - harmonized_object.harmonize( - sumstat=buffer_pl, trait=trait, cell=cell, gene=gene, - n=n, n_cases=n_cases, n_controls=n_controls - ) - if qc: - harmonized_object.qc_sumstat(file_path=file) - if only_meta: - harmonized_object.create_metadata(file_path=file) - harmonized_object.ingest_metadata() - else: - harmonized_object.ingest_data(file_path=file) - - # Reset buffer - buffer_pl = None - buffer_count = 0 - # Continue to next file - continue harmonized_object.harmonize(sumstat = chunk_pl, trait = trait, cell = cell, gene = gene, n = n, n_cases = n_cases, n_controls = n_controls) #Performing QC using GWASLAB if qc: harmonized_object.qc_sumstat(file_path = file) # Ingest the data - if only_meta: - # Create metadata - harmonized_object.create_metadata(file_path = file) - harmonized_object.ingest_metadata() else: print(f"Ingesting data: {file}") harmonized_object.ingest_data(file_path = file) + harmonized_object.create_metadata(file_path = file) diff --git a/scqtl/main.py b/scqtl/main.py index 7b306b9..fddf43b 100755 --- a/scqtl/main.py +++ b/scqtl/main.py @@ -1,68 +1,26 @@ -#Create Dask cluster -from dask_jobqueue import LSFCluster -from dask.distributed import LocalCluster -from dask.distributed import Client import click import cloup import os from scqtl.cli.ingestion import ingest from scqtl.cli.export import export -@cloup.group(name="scqtl", help="Single cell analysis with TileDB", no_args_is_help=True) -@cloup.option_group( - "Dask cluster options", - cloup.option("--workers", default = None, type=int, help = "Number of workers to use in the Dask cluster"), - cloup.option("--cores_w", default = 4, type=int, help = "Number of core to use per single worker"), - cloup.option("--memory_w", default = "12", type=str, help = "Number of GB to give as memory for each worker"), - cloup.option("--type_cluster", default = "local", help = "If you need to run on local cluster or distributed on different nodes"), - -) +@cloup.group(name="scqtl", help="Single cell analysis with TileDB", no_args_is_help=True) @click.pass_context -def cli_init(ctx, workers: int, cores_w: int, memory_w: str, type_cluster: str): - #Create Dask cluster - if not workers is None: - if type_cluster == 'local': - cluster = LocalCluster(n_workers=workers, threads_per_worker=cores_w, memory_limit=f"{memory_w}GB", processes = True, dashboard_address=':0') - else: - cluster = LSFCluster( - queue='normal', - walltime='00:40', - log_directory='{}/dask_logs'.format(os.getcwd()), - cores=2, - processes = 1, - memory='{} Gb'.format(20), - mem=20*1e+9, # should be in bytes - lsf_units='mb', - job_extra=[ - '-G team151', - '-g /lt9/dask', - '-R "select[mem>{}] rusage[mem={}]"'.format( - int(20*1e+3), - int(20*1e+3) - ) - ], - use_stdin=True - ) - #cluster = LSFCluster(cores = cores_w, memory=f"{memory_w}GB") - cluster.scale(workers) - client = Client(cluster) - print(f"Cluster created: {cluster}") - print(f"Dask dashboard available at {client.dashboard_link}") - ctx.obj = { - "dask_cluster": client, - "workers": workers, - "cluster_object": cluster # Also store the cluster itself - } - return ctx.obj - else: - ctx.obj = {"workers": False, "dask_cluster": None} - return ctx.obj +def cli_init(ctx): + """Initialize the scqtl CLI context.""" + ctx.obj = {} + return ctx.obj + def main(): + # Register subcommands cli_init.add_command(ingest) cli_init.add_command(export) + + # Invoke the CLI cli_init(obj={}) + if __name__ == "__main__": - main() + main() \ No newline at end of file diff --git a/scqtl/utils/__init__.py b/scqtl/utils/__init__.py index cd9faa9..72b3950 100755 --- a/scqtl/utils/__init__.py +++ b/scqtl/utils/__init__.py @@ -47,14 +47,14 @@ def compute_pheno_variance(df, trait_type): median_str = str(median_value) return median_str -def acat_optimized(pvals_series: pl.Series, small: float = 1e-15) -> float: +def acat_optimized(pvals, small: float = 1e-15) -> float: """ - Optimized ACAT implementation using vectorized operations with Polars. + Optimized ACAT implementation that handles both Polars Series and lists. Parameters ---------- - pvals_series : pl.Series - Series of p-values in (0, 1]. NaNs are ignored. + pvals : pl.Series or list + Series or list of p-values in (0, 1]. NaNs are ignored. small : float, optional Threshold below which we use the approximation. @@ -63,8 +63,13 @@ def acat_optimized(pvals_series: pl.Series, small: float = 1e-15) -> float: float ACAT p-value in [0, 1]. """ - # Convert to numpy array for vectorized operations - p = pvals_series.to_numpy() + # Handle both Polars Series and lists + if isinstance(pvals, pl.Series): + p = pvals.to_numpy() + elif isinstance(pvals, list): + p = np.array(pvals) + else: + raise TypeError(f"Expected pl.Series or list, got {type(pvals)}") # Remove NaNs valid_mask = ~np.isnan(p) diff --git a/scqtl/utils/harmonize_ingest.py b/scqtl/utils/harmonize_ingest.py index e0b9a58..2a31d2b 100755 --- a/scqtl/utils/harmonize_ingest.py +++ b/scqtl/utils/harmonize_ingest.py @@ -343,188 +343,269 @@ def ingest_data(self, file_path): logger.error(f"Failed to append chunk to TileDB for file {file_path}: {e}") raise + def create_metadata(self, file_path: str): - """Create and store metadata in TileDB.""" + """Create and store metadata as individual JSON files.""" metadata = { - "file_path": file_path, - "celltype":[], - "CELL": [], - "trait": [] - } + "traits": [], + "CELL": [] + } + if self.type_sumstat == "qtl": - # Get unique cell types - - self.chunk_pl = self.chunk_pl.group_by(["CHR" ,"CELL", "GENE"]).agg( - pl.col("P").map_batches( - lambda s: pl.Series([acat_optimized(s)]), - return_dtype=pl.Float64 - ).alias("ACAT_P"), - pl.col("N").first().alias("N") - ) - self.chunk_pl = self.chunk_pl.with_columns( - self.chunk_pl["ACAT_P"].list.first().alias("ACAT_P_scalar") - ) - + # Get unique cell types celltypes = self.chunk_pl["CELL"].unique().to_list() if not celltypes: raise HarmonizationError("No cell types found in the data") - # Loop over each cell type + # Update CELL list + metadata["CELL"] = celltypes + + # Process each cell type for cell in celltypes: - if cell not in metadata["celltype"]: - metadata["celltype"].append(cell) + # Filter by this cell type and compute ACAT per gene + df_cell = self.chunk_pl.filter(pl.col("CELL") == cell) + + # Group by CHR and GENE, compute ACAT for each group + chr_gene_agg = df_cell.group_by(["CHR", "GENE"]).agg([ + pl.col("P").map_batches( + lambda s: pl.Series([acat_optimized(s)]), + return_dtype=pl.Float64 + ).alias("ACAT_LIST"), + pl.col("N").first().alias("N") + ]) + chr_gene_agg = chr_gene_agg.with_columns( + pl.col("ACAT_LIST").list.first().alias("ACAT") + ) + + # Initialize cell structure if not exists + if cell not in metadata: metadata[cell] = {} - - # Filter by this cell type - df_cell = self.chunk_pl.filter(self.chunk_pl["CELL"] == cell) - # Group by chromosome and collect unique genes - if self.type_trait == "quant": - chr_gene_map = df_cell.group_by(["CHR", "GENE"]).agg([ - pl.col("ACAT_P_scalar").first().alias("ACAT"), - pl.col("N").first() - ]) - for row in chr_gene_map.iter_rows(named=True): - chrom = row["CHR"] - gene = row["GENE"] - acat = row["ACAT"] - n = float(row["N"]) - if chrom not in metadata[cell]: - metadata[cell][chrom] = {} - metadata[cell][chrom][gene] = { - "N": n, - "ACAT": acat, - "PHENO_VAR": 1 - } - else: - chr_gene_map = df_cell.group_by(["CHR", "GENE"]).agg([ - pl.col("ACAT_P_scalar").first().alias("ACAT"), - pl.col("N").first(), - pl.col("N_CASES").first(), - pl.col("N_CONTROLS").first() - ]) - for row in chr_gene_map.iter_rows(named=True): - chrom = row["CHR"] - gene = row["GENE"] - acat = row["ACAT"] - n = float(row["N"]) - ncases = float(row["N_CASES"]) - ncontrols = float(row["N_CONTROLS"]) - if chrom not in metadata[cell]: - metadata[cell][chrom] = {} - metadata[cell][chrom][gene] = { - "N": n, - "N_CASES":ncases, - "N_CONTROLS":ncontrols, - "ACAT": acat, - "PHENO_VAR": 1 - } - else: + + # Populate metadata with chromosome -> gene structure + for row in chr_gene_agg.iter_rows(named=True): + chrom = str(row["CHR"]) # Convert to string for consistency + gene = row["GENE"] + acat_val = row["ACAT"] + n_val = float(row["N"]) + + if chrom not in metadata[cell]: + metadata[cell][chrom] = {} + + gene_metadata = { + "ACAT": float(acat_val), + "N": n_val, + "PHENO_VAR": 1.0 + } + + metadata[cell][chrom][gene] = gene_metadata + + else: # GWAS case if "TRAIT" not in self.chunk_pl.columns: raise HarmonizationError("TRAIT column is missing in the data") - if self.chunk_pl["TRAIT"].is_empty(): - raise HarmonizationError("TRAIT column is empty in the data") + traits = self.chunk_pl["TRAIT"].unique().to_list() + metadata["traits"] = traits + for trait in traits: - if trait not in metadata["trait"]: - metadata["trait"].append(trait) - df_trait = self.chunk_pl.filter(self.chunk_pl["TRAIT"] == trait) - pheno_var = compute_pheno_variance(df_trait, self.type_trait) - n = df_trait["N"].unique().to_list()[0] - metadata[trait] = {"N":n, "PHENO_VAR":pheno_var} - if self.type_trait == "binary": - n_cases = df_trait["N_CASES"].unique().to_list()[0] - n_controls = df_trait["N_CONTROLS"].unique().to_list()[0] - metadata[trait]["N_CASES"] = n_cases - metadata[trait]["N_CONTROLS"] = n_controls - - f = open(f'{self.uri}_metadata.json', 'a') - - with open(f'{self.uri}_metadata.json', 'a') as f: - json.dump(metadata, f) + df_trait = self.chunk_pl.filter(pl.col("TRAIT") == trait) + pheno_var = compute_pheno_variance(df_trait, self.type_trait) + n_val = df_trait["N"].unique().to_list()[0] + + trait_metadata = { + "N": float(n_val), + "PHENO_VAR": float(pheno_var) + } + + if self.type_trait == "binary": + n_cases = df_trait["N_CASES"].unique().to_list()[0] + n_controls = df_trait["N_CONTROLS"].unique().to_list()[0] + trait_metadata.update({ + "N_CASES": float(n_cases), + "N_CONTROLS": float(n_controls) + }) + + metadata[trait] = trait_metadata - logger.info("Metadata created successfully") + # Write individual metadata file instead of updating TileDB + self._write_individual_metadata(metadata, file_path) - def ingest_metadata(self): - metadata_records = [] - with open(f'{self.uri}_metadata.json') as f: - text = f.read() - - tdb = tiledb.open(self.uri, 'w') - decoder = json.JSONDecoder() - idx = 0 - while idx < len(text): - obj, idx = decoder.raw_decode(text, idx) - metadata_records.append(obj) - - # Create a merged dictionary - merged_metadata = { - "file_path": [], - "trait": [], - "celltype": [] - } - - # For storing per-cell/chromosome info if present - cell_chrom_data = defaultdict(lambda: defaultdict(list)) - - for record in metadata_records: - # Merge file paths - if "file_path" in record and record["file_path"] not in merged_metadata["file_path"]: - merged_metadata["file_path"].append(record["file_path"]) - # Merge traits - if "trait" in record and len(record["trait"]) > 0: - for t in record["trait"]: - if t not in merged_metadata["trait"]: - merged_metadata["trait"].append(t) - if t in record: - merged_metadata[t] = record[t] - # Merge celltypes and their per-chromosome data - if "cell" in record and len(record["celltype"]) > 0: - for cell in record["celltype"]: - if cell not in merged_metadata["celltype"]: - merged_metadata["celltype"].append(cell) - # Merge chromosome-level info if exists - if "celltype" in record and len(record["celltype"]) > 0: - for chrom, genes in record[cell].items(): - cell_chrom_data[cell][chrom] = {} - for g in genes: - cell_chrom_data[cell][chrom][g] = genes[g] - - # Add per-cell/chromosome info - for cell, chrom_dict in cell_chrom_data.items(): - merged_metadata[cell] = chrom_dict + logger.info(f"Individual metadata file created for {file_path}") + def _write_individual_metadata(self, metadata, file_path): + """Write metadata to individual JSON file.""" + metadata_dir = f"{self.uri}_metadata_parts" + os.makedirs(metadata_dir, exist_ok=True) + + # Create a safe filename from the original file path + file_stem = Path(file_path).stem + metadata_file = os.path.join(metadata_dir, f"{file_stem}.json") + + with open(metadata_file, 'w') as f: + json.dump(metadata, f, indent=2) + + logger.info(f"Metadata written to {metadata_file}") + + def export_metadata_to_csv(self, output_path: str = None): + """Export metadata to CSV format.""" + if output_path is None: + output_path = f"{self.uri}_metadata.csv" + + # Get the merged metadata from TileDB + with tiledb.open(self.uri, "r") as array: + merged_metadata_json = array.meta.get("merged_metadata", "{}") + + if not merged_metadata_json: + logger.warning("No merged metadata found in TileDB array") + return + + merged_metadata = json.loads(merged_metadata_json) + + # Create rows for CSV rows = [] - tdb = tiledb.open(self.uri, 'w') - tdb.meta["metadata"] = json.dumps(merged_metadata) - # Loop over all celltypes in metadata - for celltype in merged_metadata["celltype"]: - if celltype in merged_metadata: # make sure the key exists in dict - groups = merged_metadata[celltype] - for group, values in groups.items(): # e.g. group "11" - for gene_id in values: - if self.type_trait=="quant": - rows.append({ - "CHR": group, - "CELL": celltype, - "GENE": gene_id, - "N": values[gene_id]["N"], - "ACAT": values[gene_id]["ACAT"], - "PHENOVAR": values[gene_id]["PHENO_VAR"], - }) - else: - rows.append({ - "CHR": group, - "CELL": celltype, - "GENE": gene_id, - "N": values[gene_id]["N"], - "N_CASES": values[gene_id]["N_CASES"], - "N_CONTROLS": values[gene_id]["N_CONTROLS"], - "ACAT": values[gene_id]["ACAT"], - "PHENOVAR": values[gene_id]["PHENO_VAR"], - }) - - df = pd.DataFrame(rows) - df.to_csv(f"{self.uri}_metadata.csv",index = False) + # Process QTL data (cell types) + if "CELL" in merged_metadata and merged_metadata["CELL"]: + for cell_type in merged_metadata["CELL"]: + if cell_type in merged_metadata: + cell_data = merged_metadata[cell_type] + for chrom, genes in cell_data.items(): + for gene_id, gene_metadata in genes.items(): + row = { + "CHR": chrom, + "CELL": cell_type, + "GENE": gene_id, + "ACAT": gene_metadata.get("ACAT", ""), + "N": gene_metadata.get("N", ""), + "PHENO_VAR": gene_metadata.get("PHENO_VAR", "") + } + rows.append(row) + + # Process GWAS data (traits) + if "traits" in merged_metadata and merged_metadata["traits"]: + for trait in merged_metadata["traits"]: + if trait in merged_metadata: + trait_data = merged_metadata[trait] + row = { + "TRAIT": trait, + "N": trait_data.get("N", ""), + "PHENO_VAR": trait_data.get("PHENO_VAR", ""), + "N_CASES": trait_data.get("N_CASES", ""), + "N_CONTROLS": trait_data.get("N_CONTROLS", "") + } + rows.append(row) + + # Create DataFrame and save to CSV + if rows: + df = pd.DataFrame(rows) + + # Reorder columns for better readability + if "CELL" in df.columns: + # QTL format + column_order = ["CHR", "CELL", "GENE", "ACAT", "N", "PHENO_VAR"] + # Only include columns that exist in the DataFrame + column_order = [col for col in column_order if col in df.columns] + df = df[column_order] + else: + # GWAS format + column_order = ["TRAIT", "N", "PHENO_VAR", "N_CASES", "N_CONTROLS"] + column_order = [col for col in column_order if col in df.columns] + df = df[column_order] + + df.to_csv(output_path, index=False) + logger.info(f"Metadata exported to {output_path}") + + # Print summary + if "CELL" in df.columns: + logger.info(f"Exported {len(df)} gene-cell type combinations") + logger.info(f"Cell types: {df['CELL'].nunique()}") + logger.info(f"Genes: {df['GENE'].nunique()}") + logger.info(f"Chromosomes: {df['CHR'].nunique()}") + else: + logger.info(f"Exported {len(df)} traits") + return df + else: + logger.warning("No metadata found to export") + return pd.DataFrame() + def merge_metadata_files(self): + """Merge all individual metadata files into final TileDB metadata.""" + metadata_dir = f"{self.uri}_metadata_parts" + + if not os.path.exists(metadata_dir): + logger.warning(f"No metadata directory found at {metadata_dir}") + return + + merged_metadata = { + "traits": [], + "CELL": [] + } + + # Process all individual metadata files + metadata_files = list(Path(metadata_dir).glob("*.json")) + logger.info(f"Found {len(metadata_files)} metadata files to merge") + + for metadata_file in metadata_files: + try: + with open(metadata_file, 'r') as f: + file_metadata = json.load(f) + + # Merge traits (for GWAS) + if "traits" in file_metadata and file_metadata["traits"]: + current_traits = set(merged_metadata.get("traits", [])) + new_traits = set(file_metadata["traits"]) + merged_metadata["traits"] = list(current_traits.union(new_traits)) + + for trait in file_metadata["traits"]: + if trait in file_metadata: + if trait not in merged_metadata: + merged_metadata[trait] = file_metadata[trait] + else: + logger.warning(f"Trait {trait} already exists in metadata, overwriting") + merged_metadata[trait] = file_metadata[trait] + + # Merge CELL and cell metadata (for QTL) + if "CELL" in file_metadata and file_metadata["CELL"]: + current_cells = set(merged_metadata.get("CELL", [])) + new_cells = set(file_metadata["CELL"]) + merged_metadata["CELL"] = list(current_cells.union(new_cells)) + + for cell in file_metadata["CELL"]: + if cell in file_metadata: + if cell not in merged_metadata: + merged_metadata[cell] = {} + + for chrom, genes in file_metadata[cell].items(): + if chrom not in merged_metadata[cell]: + merged_metadata[cell][chrom] = {} + + for gene, gene_data in genes.items(): + if gene in merged_metadata[cell][chrom]: + logger.warning(f"Gene {gene} already exists in cell {cell} chromosome {chrom}, overwriting") + merged_metadata[cell][chrom][gene] = gene_data + + logger.info(f"Processed {metadata_file.name}") + + except Exception as e: + logger.error(f"Error processing metadata file {metadata_file}: {e}") + continue + + # Store the final merged metadata in TileDB + with tiledb.open(self.uri, "w") as array: + array.meta["merged_metadata"] = json.dumps(merged_metadata) + + # Export to CSV + self.export_metadata_to_csv() + + # Log summary + cell_count = len(merged_metadata.get("CELL", [])) + trait_count = len(merged_metadata.get("traits", [])) + + total_genes = 0 + for cell_type in merged_metadata.get("CELL", []): + if cell_type in merged_metadata: + for chrom_data in merged_metadata[cell_type].values(): + total_genes += len(chrom_data) + + logger.info(f"Final merged metadata: {cell_count} cell types, {trait_count} traits, {total_genes} total genes") + diff --git a/scqtl/utils/locusbreaker_plpl.py b/scqtl/utils/locusbreaker_plpl.py index 63ef79a..8ccbf66 100755 --- a/scqtl/utils/locusbreaker_plpl.py +++ b/scqtl/utils/locusbreaker_plpl.py @@ -7,7 +7,7 @@ def locusbreaker_plpl( pvalue_sig: float = 5e-8, pvalue_limit: float = 5e-6, hole_size: int = 250000, - category: bool = False, + cis_trans_lb: str = "cis", type_sumstat: str = "scqtl", maf: float = 0.001, locus_max_size: int = 3000000, @@ -34,11 +34,11 @@ def locusbreaker_plpl( return [] # Apply cis/trans filtering for scqtl if type_sumstat == "qtl": - if category == "cis": + if cis_trans_lb == "cis": loci_snps = loci_snps.filter( (pl.col("DIST") > -1000000) & (pl.col("DIST") < 1000000) ) - elif category == "trans": + elif cis_trans_lb == "trans": loci_snps = loci_snps.filter( (pl.col("DIST") < -1000000) | (pl.col("DIST") > 1000000) ) From 076624ffd6fcd82b3d21398cfbc13d329020e359 Mon Sep 17 00:00:00 2001 From: bruno-ariano Date: Tue, 21 Oct 2025 12:07:02 +0200 Subject: [PATCH 27/61] 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a/.nextflow/cache/fcf034ac-f35b-447a-bb93-d413b68564c0/db/000003.log b/.nextflow/cache/fcf034ac-f35b-447a-bb93-d413b68564c0/db/000003.log deleted file mode 100644 index e69de29..0000000 diff --git a/.nextflow/cache/fcf034ac-f35b-447a-bb93-d413b68564c0/db/CURRENT b/.nextflow/cache/fcf034ac-f35b-447a-bb93-d413b68564c0/db/CURRENT deleted file mode 100644 index 1a84852..0000000 --- a/.nextflow/cache/fcf034ac-f35b-447a-bb93-d413b68564c0/db/CURRENT +++ /dev/null @@ -1 +0,0 @@ -MANIFEST-000002 diff --git a/.nextflow/cache/fcf034ac-f35b-447a-bb93-d413b68564c0/db/LOCK b/.nextflow/cache/fcf034ac-f35b-447a-bb93-d413b68564c0/db/LOCK deleted file mode 100644 index e69de29..0000000 diff --git a/.nextflow/cache/fcf034ac-f35b-447a-bb93-d413b68564c0/db/MANIFEST-000002 b/.nextflow/cache/fcf034ac-f35b-447a-bb93-d413b68564c0/db/MANIFEST-000002 deleted file mode 100644 index bbbc585686bcbcc33686059c69d80b7b4e1291cd..0000000000000000000000000000000000000000 GIT binary patch literal 0 HcmV?d00001 literal 50 zcmWIhx#Ncn10$nUPHI_dPD+xVQ)NkNd1i5{bAE0?Vo_pAe$kRS-TOEg7@3$k8JJmE F7y#sj5K{mE diff --git a/.nextflow/cache/fcf034ac-f35b-447a-bb93-d413b68564c0/index.nostalgic_wozniak b/.nextflow/cache/fcf034ac-f35b-447a-bb93-d413b68564c0/index.nostalgic_wozniak deleted file mode 100644 index e69de29..0000000 diff --git a/.nextflow/history b/.nextflow/history deleted file mode 100644 index fa6cc7e..0000000 --- a/.nextflow/history +++ /dev/null @@ -1,90 +0,0 @@ -2025-10-20 16:16:36 - suspicious_ramanujan - c1fcc6c9d0fe755345e2bea28e68347e 00052b8f-500e-431e-8b4d-d3f58be99f10 nextflow run main.nf --profile test -2025-10-20 16:18:06 - peaceful_lamarck - dd96d175a627f99084eac08948cd88ea ec45c63f-bae8-4f39-b5b3-a006cb09a007 nextflow run main.nf --profile test -2025-10-20 16:22:07 - nice_hodgkin - 73e6f9e6d576ea46d0308e6d6ff4e2c9 80e77098-1593-4c78-8bbf-112ca32a4c27 nextflow run main.nf --profile test -2025-10-20 16:23:28 - big_nobel - 73e6f9e6d576ea46d0308e6d6ff4e2c9 d62f3146-925a-4b26-ae0a-bd05ecb1e073 nextflow run main.nf --profile test -2025-10-20 16:24:09 2.9s tiny_nobel OK 73e6f9e6d576ea46d0308e6d6ff4e2c9 c5a97f0c-b39d-467f-bbd2-e4fa67dd8074 nextflow run main.nf --profile test -2025-10-20 16:24:38 2.3s sick_montalcini OK 73e6f9e6d576ea46d0308e6d6ff4e2c9 9a9a1a44-e43a-4401-8210-365dfdf024ca nextflow run main.nf --profile test -2025-10-20 16:25:14 1.9s stupefied_wescoff OK 73e6f9e6d576ea46d0308e6d6ff4e2c9 f766b9c1-4a90-4f03-860f-a39b7a4873b1 nextflow run main.nf --profile test -2025-10-20 16:26:57 1.6s hopeful_koch OK 73e6f9e6d576ea46d0308e6d6ff4e2c9 648b9fa2-dade-456e-bcc3-f2184d4fb68f nextflow run main.nf --profile test -2025-10-20 16:31:34 2.3s loquacious_liskov OK 73e6f9e6d576ea46d0308e6d6ff4e2c9 24828e03-d0cc-4dcf-a7d1-d59a0da74b58 nextflow run main.nf --profile test -2025-10-20 16:32:32 1.9s astonishing_hirsch OK 73e6f9e6d576ea46d0308e6d6ff4e2c9 55f94574-f620-4d64-9078-1fb0546ad0a7 nextflow run main.nf --profile test -2025-10-20 16:32:58 2.4s curious_ekeblad OK 73e6f9e6d576ea46d0308e6d6ff4e2c9 ca8a3211-cfd7-4082-a92b-d64ae9330b2d nextflow run main.nf --profile test -2025-10-20 16:33:48 2.6s nostalgic_wozniak OK 73e6f9e6d576ea46d0308e6d6ff4e2c9 fcf034ac-f35b-447a-bb93-d413b68564c0 nextflow run main.nf --profile test -2025-10-20 16:36:25 2s adoring_almeida OK 41065d67c884d7625e961d6fd4e90afc 848e755f-529c-4f51-9966-1dcf1c0ab4b3 nextflow run main.nf --profile test -2025-10-20 16:36:55 2.2s maniac_franklin OK 41065d67c884d7625e961d6fd4e90afc b0589507-a06c-40dc-9234-e4b0b919c706 nextflow run main.nf --profile test -2025-10-20 16:38:06 1.6s compassionate_gates OK f6582c82bb49af29e54793667c02651a a9f3ca4c-0ebb-4871-b688-912f4881d356 nextflow run main.nf --profile test -2025-10-20 16:42:00 2.3s suspicious_kirch OK f6582c82bb49af29e54793667c02651a 54ae74f6-e7c2-40ab-8ccb-a0f5ef64ef2d nextflow run main.nf --profile test -2025-10-20 16:42:34 1.7s gloomy_carlsson OK f6582c82bb49af29e54793667c02651a 2cfd5a45-afa6-4642-ab02-167ec3f3624f nextflow run main.nf --profile test -2025-10-20 16:44:00 2s small_gautier OK 89428f65688cc53b9d24cecc06504bfc ef42ff7a-f22e-409a-a93e-c4bcabfaa67a nextflow run main.nf --profile test -2025-10-20 16:44:16 2.6s loving_galileo OK afd06dcfdbcf59e8a71f802d33ba5e1a 0f17c57d-b338-4950-b2db-d96227229cc5 nextflow run main.nf --profile test -2025-10-20 16:45:27 2s admiring_austin OK afd06dcfdbcf59e8a71f802d33ba5e1a 6619d66a-3cda-42e4-8348-4e346346d56c nextflow run main.nf --profile conda,test -2025-10-20 16:46:42 2.5s small_wiles OK afd06dcfdbcf59e8a71f802d33ba5e1a ea7736da-34f6-477c-8198-12da9f9a84d2 nextflow run main.nf -profile conda,test_ingestion -2025-10-20 16:47:31 2.9s big_noether OK afd06dcfdbcf59e8a71f802d33ba5e1a 90afe29d-565a-49f5-b34f-a15e0e99b6b1 nextflow run main.nf -profile conda,test -2025-10-20 16:47:54 2.1s goofy_carson OK afd06dcfdbcf59e8a71f802d33ba5e1a 0b0bb2df-b87e-46f2-819b-baf0511909cf nextflow run main.nf -profile conda,test -2025-10-20 16:48:10 1.9s hopeful_coulomb OK afd06dcfdbcf59e8a71f802d33ba5e1a c9f2fafa-b08f-4102-b819-8823ae11c13e nextflow run main.nf -profile conda,test -2025-10-20 16:48:18 1.9s fabulous_austin OK afd06dcfdbcf59e8a71f802d33ba5e1a 9cfe1c15-f745-4a19-b1cd-95c8d61df159 nextflow run main.nf -profile conda,test -2025-10-20 16:49:54 5s high_euler OK afd06dcfdbcf59e8a71f802d33ba5e1a 5e385e6e-69e5-4bb5-bf18-cb5ed424edf1 nextflow run main.nf -profile conda,test -2025-10-20 16:50:40 2.9s jovial_goldwasser OK afd06dcfdbcf59e8a71f802d33ba5e1a f3e58d62-4278-45b8-9198-440da7f7c920 nextflow run main.nf -profile conda,test -2025-10-20 16:50:59 1.7s elegant_hawking OK afd06dcfdbcf59e8a71f802d33ba5e1a d4b5b2da-5713-4c5f-9739-007763092ff1 nextflow run main.nf -profile conda,test -2025-10-20 16:51:12 1.9s modest_torvalds OK afd06dcfdbcf59e8a71f802d33ba5e1a 5956bad8-d076-4264-a443-f4e7a89a1f21 nextflow run main.nf -profile conda,test -2025-10-20 16:52:01 2.6s evil_elion OK b088a3aa8b98ff47fe4716da763d69c2 c94ac739-a23e-4840-82d4-0aba194e6ae1 nextflow run main.nf -profile conda,test -2025-10-20 16:53:20 2.2s fabulous_ride OK 03eb14f71ea74b106eb99e60c2f3b826 e486ff8c-87be-40c9-a68c-7e0535c9b2c6 nextflow run main.nf -profile conda,test -2025-10-20 16:54:04 3.3s intergalactic_golick OK 03eb14f71ea74b106eb99e60c2f3b826 93e945f6-d501-4dee-b7ee-00ed549eb504 nextflow run main.nf -profile conda,test -2025-10-20 16:56:03 1.5s fabulous_faggin OK 03eb14f71ea74b106eb99e60c2f3b826 9cabf0f8-584e-4353-800b-f0d603eb4d04 nextflow run main.nf -profile conda,test -2025-10-20 16:57:49 2.1s drunk_planck OK 03eb14f71ea74b106eb99e60c2f3b826 c1012f2e-a4d7-416c-8276-fc4d7023a03f nextflow run main.nf -profile conda,test -2025-10-20 16:58:47 - lethal_agnesi - 03eb14f71ea74b106eb99e60c2f3b826 97107834-0fda-4062-b6b4-c0b54ae75f77 nextflow run main.nf -profile conda,test -2025-10-20 17:00:31 - admiring_ardinghelli - 03eb14f71ea74b106eb99e60c2f3b826 cad67168-0086-487f-8388-c13886035ed6 nextflow run main.nf -profile conda,test -2025-10-20 17:01:56 - thirsty_stone - 055bee6f66e5e543ff37a641e32d630a c633b06c-bdbe-4169-b86f-894031b25fca nextflow run main.nf -profile conda,test -2025-10-20 17:02:37 - tiny_ardinghelli - 03eb14f71ea74b106eb99e60c2f3b826 2452dfcc-7341-4704-a578-98aaacedd831 nextflow run main.nf -profile conda,test -2025-10-20 17:03:21 - happy_wegener - ddbfc67dc69d29091a87439a8cb957c0 4fec721d-df93-40df-88ad-ad0d8282f0c1 nextflow run main.nf -profile conda,test -2025-10-20 17:04:09 2.1s cheesy_pauling ERR ddbfc67dc69d29091a87439a8cb957c0 6b700f04-052e-4455-8953-769263f58e40 nextflow run main.nf -profile conda,test -2025-10-20 17:05:03 - dreamy_gates - ddbfc67dc69d29091a87439a8cb957c0 c7e1f5bc-4c93-483e-906a-3a4d18523a81 nextflow run main.nf -profile conda,test -2025-10-20 17:13:55 - small_sinoussi - ddbfc67dc69d29091a87439a8cb957c0 fbd1d521-280f-4a42-99b6-1c373fa7310e nextflow run main.nf -profile conda,test -2025-10-20 17:21:03 2.9s boring_boyd ERR ddbfc67dc69d29091a87439a8cb957c0 58c33e43-9fde-4bdc-8eb8-a2bf1a57a980 nextflow run main.nf -profile conda,test -2025-10-20 17:22:49 4m 5s clever_wing ERR f4d237aef66a6fe009bc88e3f7dd982b 056357b3-dca9-49c2-988b-6ee1446245de nextflow run main.nf -profile conda,test -2025-10-20 17:49:28 45s suspicious_lalande ERR a9968b26f0ee711be7c06ad7fecfd2f7 7733690c-6ead-4f1c-bfc1-b38f3e84464d nextflow run main.nf -profile conda,test -2025-10-20 17:51:28 45.5s desperate_magritte ERR a40ca4516192562a70b1c3e9fce5b75e 2044440a-9f71-4b11-8553-bf4fc8f715a9 nextflow run main.nf -profile conda,test -2025-10-20 17:54:54 56.7s desperate_stallman OK a40ca4516192562a70b1c3e9fce5b75e 2044440a-9f71-4b11-8553-bf4fc8f715a9 nextflow run main.nf -profile conda,test -resume -2025-10-20 18:00:18 4.4s clever_leibniz OK caa55c210c06fb62736ff6677cdeaa2c 2044440a-9f71-4b11-8553-bf4fc8f715a9 nextflow run main.nf -profile conda,test -resume -2025-10-20 18:02:48 1m 21s high_shockley OK caa55c210c06fb62736ff6677cdeaa2c 2044440a-9f71-4b11-8553-bf4fc8f715a9 nextflow run main.nf -profile conda,test -resume -2025-10-20 18:05:27 1m 50s sad_wright OK caa55c210c06fb62736ff6677cdeaa2c 6d62717d-9c80-4612-a6ff-440e192b0c96 nextflow run main.nf -profile conda,test -2025-10-20 18:09:22 2.5s determined_sanger OK caa55c210c06fb62736ff6677cdeaa2c 6d62717d-9c80-4612-a6ff-440e192b0c96 nextflow run main.nf -profile conda,test -resume -2025-10-20 18:09:43 4.6s suspicious_banach OK caa55c210c06fb62736ff6677cdeaa2c 6d62717d-9c80-4612-a6ff-440e192b0c96 nextflow run main.nf -profile conda,test -resume -2025-10-20 18:11:06 26.9s crazy_volhard ERR caa55c210c06fb62736ff6677cdeaa2c 6d62717d-9c80-4612-a6ff-440e192b0c96 nextflow run main.nf -profile conda,test -resume -2025-10-20 18:11:38 1m 4s hungry_lavoisier OK caa55c210c06fb62736ff6677cdeaa2c 6d62717d-9c80-4612-a6ff-440e192b0c96 nextflow run main.nf -profile conda,test -resume -2025-10-20 20:03:20 3.9s distraught_shirley OK caa55c210c06fb62736ff6677cdeaa2c 6d62717d-9c80-4612-a6ff-440e192b0c96 nextflow run main.nf -profile conda,test -resume -2025-10-20 20:26:29 3s wise_ampere OK caa55c210c06fb62736ff6677cdeaa2c 6d62717d-9c80-4612-a6ff-440e192b0c96 nextflow run main.nf -profile conda,test -resume -2025-10-20 20:41:52 46.7s elegant_wright ERR caa55c210c06fb62736ff6677cdeaa2c 6022455a-460f-427c-b0e6-39c70ce451c6 nextflow run main.nf -profile conda,test -2025-10-20 20:43:23 1m 52s marvelous_bartik OK 5b04b119c064d9799cf22e38386dea16 5696357b-bdad-4673-b7ae-b0520e1649b9 nextflow run main.nf -profile conda,test -2025-10-20 20:45:23 1m 16s compassionate_caravaggio OK 5b04b119c064d9799cf22e38386dea16 0a85c54e-f3b0-431e-a7b8-31fea5ced755 nextflow run main.nf -profile conda,test -2025-10-20 20:52:51 1m 39s cranky_brenner OK 5b04b119c064d9799cf22e38386dea16 48c2a52e-6f5f-4fbd-9039-b0f9b679658f nextflow run main.nf -profile conda,test -2025-10-20 20:55:23 1m 39s evil_chandrasekhar OK 5b04b119c064d9799cf22e38386dea16 5cc83fc1-a406-41b1-8f88-8f8cbda8b6ad nextflow run main.nf -profile conda,test -2025-10-20 21:16:19 1m 35s festering_planck OK 5b04b119c064d9799cf22e38386dea16 27fce5a2-979f-4bd8-9da4-21760bf900d2 nextflow run main.nf -profile conda,test -2025-10-20 21:25:53 1m 32s wise_rutherford OK 5b04b119c064d9799cf22e38386dea16 323be788-4752-427a-884e-7d5900d9e445 nextflow run main.nf -profile conda,test -2025-10-20 21:34:51 - furious_gautier - 8a289572de530fa9b80f18ab4eecf5e4 0298ca5b-a147-451b-819e-4407b0473619 nextflow run main.nf -profile conda,test -2025-10-20 21:36:35 - scruffy_bardeen - dc90afd737d857a3dedfd71db76b08d0 e3973024-b9d4-40b0-b716-51e66a3ed165 nextflow run main.nf -profile conda,test -2025-10-20 21:37:05 1m 36s awesome_magritte ERR dc90afd737d857a3dedfd71db76b08d0 05ac13b3-c2bd-47bc-8b99-ae21213be279 nextflow run main.nf -profile conda,test -2025-10-20 21:46:02 - kickass_mayer - 46a251d666d258b2e2233e85e952b6ee e1f8344f-a848-4a5f-b7ed-57eb15fd923b nextflow run main.nf -profile conda,test -2025-10-20 21:46:53 3m 4s agitated_stone ERR 46a251d666d258b2e2233e85e952b6ee 598ca595-74cc-47c7-af86-c1f566fbf6c2 nextflow run main.nf -profile conda,test -2025-10-20 21:54:16 15.5s fabulous_einstein ERR 46a251d666d258b2e2233e85e952b6ee 598ca595-74cc-47c7-af86-c1f566fbf6c2 nextflow run main.nf -profile conda,test -resume -2025-10-20 22:00:53 - extravagant_curry - 46a251d666d258b2e2233e85e952b6ee 598ca595-74cc-47c7-af86-c1f566fbf6c2 nextflow run main.nf -profile conda,test -resume -2025-10-20 22:01:21 23.1s lethal_bassi ERR 46a251d666d258b2e2233e85e952b6ee 598ca595-74cc-47c7-af86-c1f566fbf6c2 nextflow run main.nf -profile conda,test -resume -2025-10-20 22:04:52 29.8s hungry_gutenberg OK 46a251d666d258b2e2233e85e952b6ee 598ca595-74cc-47c7-af86-c1f566fbf6c2 nextflow run main.nf -profile conda,test -resume -2025-10-20 22:07:26 1m 47s ecstatic_elion OK 46a251d666d258b2e2233e85e952b6ee 7e92d21c-61d8-4c0f-9ce0-0893eeb9c21e nextflow run main.nf -profile conda,test -2025-10-20 22:13:54 2m 11s focused_yonath OK 46a251d666d258b2e2233e85e952b6ee bc1c8565-1d2a-4f13-909d-7b97ac830d12 nextflow run main.nf -profile conda,test -2025-10-21 10:06:58 2m 52s sick_jang OK 4f3fd5493362d3b978a270eeacaaa278 40bcdb4a-f7c7-4f52-9450-bade1810ff82 nextflow run main.nf -profile conda,test -2025-10-21 11:37:22 1.7s compassionate_hawking OK 1f7b81f204bda4deba753e6f8b6e403f 33293d15-c021-40ad-a5b7-9bab08e135ac nextflow run main.nf -profile conda,test_lb -2025-10-21 11:38:18 1.8s crazy_ampere OK 0acda18aa9702b26bd66643ed57ec872 15a1472f-6ed8-4a02-a68b-a05c37aef4c5 nextflow run main.nf -profile conda,test_lb -2025-10-21 11:38:37 - spontaneous_gutenberg - 0acda18aa9702b26bd66643ed57ec872 98c4be9c-6a90-4881-bc05-2c963563bf41 nextflow run main.nf -profile conda,test_export_lb -2025-10-21 11:43:03 - irreverent_hawking - db4c79b1c724b60bf00912e34bf307f0 8c304660-0b0f-4e25-975d-75cc6c6e8f49 nextflow run main.nf -profile conda,test_export_lb -2025-10-21 11:44:11 2.7s evil_ekeblad ERR 1309f0cb95240182edb1216ee125c0e6 802b7d15-9b12-4b34-a204-e681e8665426 nextflow run main.nf -profile conda,test_export_lb -2025-10-21 11:45:03 55.2s irreverent_wilson ERR 1309f0cb95240182edb1216ee125c0e6 ee4aef90-d2e5-4acd-9cda-13ea6bdea2f5 nextflow run main.nf -profile conda,test_export_lb -2025-10-21 11:47:01 21.8s mad_goodall ERR 1309f0cb95240182edb1216ee125c0e6 1c50b09b-76e6-4e4d-b9d8-c39ef76e1ed6 nextflow run main.nf -profile conda,test_export_lb -2025-10-21 11:47:43 21.5s ecstatic_wozniak ERR 1309f0cb95240182edb1216ee125c0e6 cba45791-b79e-41ab-a056-7436c22c8460 nextflow run main.nf -profile conda,test_export_lb -2025-10-21 11:49:57 20.4s cheeky_miescher ERR 1309f0cb95240182edb1216ee125c0e6 555f2666-ef80-406e-802e-206724685193 nextflow run main.nf -profile conda,test_export_lb -2025-10-21 11:51:41 22.5s deadly_pare ERR 1309f0cb95240182edb1216ee125c0e6 ad41dd6d-ea04-4e8a-9b1e-f615e486ed1e nextflow run main.nf -profile conda,test_export_lb -2025-10-21 11:53:26 23.1s distracted_tuckerman ERR 1309f0cb95240182edb1216ee125c0e6 b7c4133e-43d3-443a-bc32-b5d59028eadc nextflow run main.nf -profile conda,test_export_lb -2025-10-21 11:55:29 22.2s sick_galileo ERR 1309f0cb95240182edb1216ee125c0e6 91e4e8cc-db78-4167-a9d6-4eeb596dcdf9 nextflow run main.nf -profile conda,test_export_lb -2025-10-21 11:57:02 25.1s distraught_rubens OK 1309f0cb95240182edb1216ee125c0e6 60236dfd-d34f-4cf5-9fa5-c3e1b4908b7a nextflow run main.nf -profile conda,test_export_lb -2025-10-21 12:00:52 25.4s goofy_gauss OK 1309f0cb95240182edb1216ee125c0e6 951ecab3-e97d-4a18-8e94-e96f08be5a7b nextflow run main.nf -profile conda,test_export_lb -2025-10-21 12:02:20 24.5s furious_faggin OK 1309f0cb95240182edb1216ee125c0e6 f0d3793a-ef4c-46ca-a59c-5d50bee98b54 nextflow run main.nf -profile conda,test_export_lb From 88d72d86ba956504a595a85aa2271490e0d7ff10 Mon Sep 17 00:00:00 2001 From: bruno-ariano Date: Tue, 21 Oct 2025 12:07:14 +0200 Subject: [PATCH 28/61] transform into nextflow and remove Dask --- .nextflow.log | 88 ----------------------------- .nextflow.log.1 | 88 ----------------------------- .nextflow.log.2 | 88 ----------------------------- .nextflow.log.3 | 146 ------------------------------------------------ .nextflow.log.4 | 145 ----------------------------------------------- .nextflow.log.5 | 142 ---------------------------------------------- .nextflow.log.6 | 139 --------------------------------------------- .nextflow.log.7 | 139 --------------------------------------------- .nextflow.log.8 | 118 -------------------------------------- .nextflow.log.9 | 127 ----------------------------------------- 10 files changed, 1220 deletions(-) delete mode 100644 .nextflow.log delete mode 100644 .nextflow.log.1 delete mode 100644 .nextflow.log.2 delete mode 100644 .nextflow.log.3 delete mode 100644 .nextflow.log.4 delete mode 100644 .nextflow.log.5 delete mode 100644 .nextflow.log.6 delete mode 100644 .nextflow.log.7 delete mode 100644 .nextflow.log.8 delete mode 100644 .nextflow.log.9 diff --git a/.nextflow.log b/.nextflow.log deleted file mode 100644 index 43ec0a9..0000000 --- a/.nextflow.log +++ /dev/null @@ -1,88 +0,0 @@ -Oct-21 12:02:18.879 [main] DEBUG nextflow.cli.Launcher - $> nextflow run main.nf -profile conda,test_export_lb -Oct-21 12:02:19.050 [main] DEBUG nextflow.cli.CmdRun - N E X T F L O W ~ version 25.04.3 -Oct-21 12:02:19.071 [main] DEBUG nextflow.plugin.PluginsFacade - Setting up plugin manager > mode=prod; embedded=false; plugins-dir=/home/bruno.ariano/.nextflow/plugins; core-plugins: nf-amazon@2.15.0,nf-azure@1.16.0,nf-cloudcache@0.4.3,nf-codecommit@0.2.3,nf-console@1.2.1,nf-google@1.21.0,nf-k8s@1.0.0,nf-tower@1.11.3,nf-wave@1.12.1 -Oct-21 12:02:19.093 [main] INFO o.pf4j.DefaultPluginStatusProvider - Enabled plugins: [] -Oct-21 12:02:19.094 [main] INFO o.pf4j.DefaultPluginStatusProvider - Disabled plugins: [] -Oct-21 12:02:19.097 [main] INFO org.pf4j.DefaultPluginManager - PF4J version 3.12.0 in 'deployment' mode -Oct-21 12:02:19.108 [main] INFO org.pf4j.AbstractPluginManager - No plugins -Oct-21 12:02:19.126 [main] DEBUG nextflow.config.ConfigBuilder - Found config local: /group/soranzo/bruno.ariano/TileDB-sumstat/nextflow.config -Oct-21 12:02:19.128 [main] DEBUG nextflow.config.ConfigBuilder - Parsing config file: /group/soranzo/bruno.ariano/TileDB-sumstat/nextflow.config -Oct-21 12:02:19.167 [main] DEBUG n.secret.LocalSecretsProvider - Secrets store: /home/bruno.ariano/.nextflow/secrets/store.json -Oct-21 12:02:19.170 [main] DEBUG nextflow.secret.SecretsLoader - Discovered secrets providers: [nextflow.secret.LocalSecretsProvider@5c41d037] - activable => nextflow.secret.LocalSecretsProvider@5c41d037 -Oct-21 12:02:19.175 [main] DEBUG nextflow.config.ConfigBuilder - Applying config profile: `conda,test_export_lb` -Oct-21 12:02:19.875 [main] DEBUG nextflow.config.ConfigBuilder - Available config profiles: [shifter, test, mamba, charliecloud, apptainer, conda, test_export_lb, singularity, wave, docker, podman] -Oct-21 12:02:19.904 [main] DEBUG nextflow.cli.CmdRun - Applied DSL=2 by global default -Oct-21 12:02:19.923 [main] DEBUG nextflow.cli.CmdRun - Launching `main.nf` [furious_faggin] DSL2 - revision: 1309f0cb95 -Oct-21 12:02:19.924 [main] DEBUG nextflow.plugin.PluginsFacade - Plugins default=[] -Oct-21 12:02:19.924 [main] DEBUG nextflow.plugin.PluginsFacade - Plugins resolved requirement=[] -Oct-21 12:02:19.968 [main] DEBUG nextflow.Session - Session UUID: f0d3793a-ef4c-46ca-a59c-5d50bee98b54 -Oct-21 12:02:19.969 [main] DEBUG nextflow.Session - Run name: furious_faggin -Oct-21 12:02:19.969 [main] DEBUG nextflow.Session - Executor pool size: 40 -Oct-21 12:02:19.976 [main] DEBUG nextflow.file.FilePorter - File porter settings maxRetries=3; maxTransfers=50; pollTimeout=null -Oct-21 12:02:19.980 [main] DEBUG nextflow.util.ThreadPoolBuilder - Creating thread pool 'FileTransfer' minSize=10; maxSize=120; workQueue=LinkedBlockingQueue[-1]; allowCoreThreadTimeout=false -Oct-21 12:02:20.006 [main] DEBUG nextflow.cli.CmdRun - - Version: 25.04.3 build 5949 - Created: 02-06-2025 20:56 UTC (22:56 CEST) - System: Linux 4.18.0-477.10.1.el8_8.x86_64 - Runtime: Groovy 4.0.26 on OpenJDK 64-Bit Server VM 17.0.8.1+1 - Encoding: UTF-8 (UTF-8) - Process: 1551775@hnode02 [192.168.104.253] - CPUs: 40 - Mem: 375.9 GB (14.5 GB) - Swap: 64 GB (59.2 GB) -Oct-21 12:02:20.036 [main] DEBUG nextflow.Session - Work-dir: /group/soranzo/bruno.ariano/TileDB-sumstat/work [nfs] -Oct-21 12:02:20.037 [main] DEBUG nextflow.Session - Script base path does not exist or is not a directory: /group/soranzo/bruno.ariano/TileDB-sumstat/bin -Oct-21 12:02:20.047 [main] DEBUG nextflow.executor.ExecutorFactory - Extension executors providers=[] -Oct-21 12:02:20.056 [main] DEBUG nextflow.Session - Observer factory: DefaultObserverFactory -Oct-21 12:02:20.085 [main] DEBUG nextflow.Session - Observer factory (v2): LinObserverFactory -Oct-21 12:02:20.109 [main] DEBUG nextflow.cache.CacheFactory - Using Nextflow cache factory: nextflow.cache.DefaultCacheFactory -Oct-21 12:02:20.118 [main] DEBUG nextflow.util.CustomThreadPool - Creating default thread pool > poolSize: 41; maxThreads: 1000 -Oct-21 12:02:20.199 [main] DEBUG nextflow.Session - Session start -Oct-21 12:02:20.202 [main] DEBUG nextflow.trace.TraceFileObserver - Workflow started -- trace file: /group/soranzo/bruno.ariano/TileDB-sumstat/results/pipeline_info/execution_trace_2025-10-21_12-02-19.txt -Oct-21 12:02:20.409 [main] DEBUG nextflow.script.ScriptRunner - > Launching execution -Oct-21 12:02:20.934 [main] DEBUG nextflow.script.ProcessConfig - Config settings `withLabel:process_multi` matches labels `process_multi` for process with name EXPORT_LOCUSBREAKER -Oct-21 12:02:20.947 [main] DEBUG nextflow.executor.ExecutorFactory - << taskConfig executor: null -Oct-21 12:02:20.948 [main] DEBUG nextflow.executor.ExecutorFactory - >> processorType: 'local' -Oct-21 12:02:20.956 [main] DEBUG nextflow.executor.Executor - [warm up] executor > local -Oct-21 12:02:20.966 [main] DEBUG n.processor.LocalPollingMonitor - Creating local task monitor for executor 'local' > cpus=40; memory=375.9 GB; capacity=40; pollInterval=100ms; dumpInterval=5m -Oct-21 12:02:20.969 [main] DEBUG n.processor.TaskPollingMonitor - >>> barrier register (monitor: local) -Oct-21 12:02:20.992 [main] DEBUG nextflow.processor.TaskProcessor - Creating process 'EXPORT_LOCUSBREAKER': maxForks=0; fair=false; array=0 -Oct-21 12:02:21.025 [main] DEBUG nextflow.Session - Workflow process names [dsl2]: EXPORT_LOCUSBREAKER, MERGE_METADATA, EXPORT_REGIONS, INGEST_DATA, CREATE_TILEDB -Oct-21 12:02:21.026 [main] DEBUG nextflow.Session - Igniting dataflow network (2) -Oct-21 12:02:21.032 [main] DEBUG nextflow.processor.TaskProcessor - Starting process > EXPORT_LOCUSBREAKER -Oct-21 12:02:21.033 [main] DEBUG nextflow.script.ScriptRunner - Parsed script files: - Script_7b14281b3e71c830: /group/soranzo/bruno.ariano/TileDB-sumstat/modules/merge_metadata/main.nf - Script_f79ff21670d5e55f: /group/soranzo/bruno.ariano/TileDB-sumstat/modules/regions/main.nf - Script_aef310e1ce2070d7: /group/soranzo/bruno.ariano/TileDB-sumstat/modules/locusbreaker/main.nf - Script_fa94f925e889eb3d: /group/soranzo/bruno.ariano/TileDB-sumstat/modules/create_tiledb/main.nf - Script_9642d9956a1c233a: /group/soranzo/bruno.ariano/TileDB-sumstat/modules/ingestion/main.nf - Script_d23e1daa06b1131d: /group/soranzo/bruno.ariano/TileDB-sumstat/main.nf -Oct-21 12:02:21.033 [main] DEBUG nextflow.script.ScriptRunner - > Awaiting termination -Oct-21 12:02:21.033 [main] DEBUG nextflow.Session - Session await -Oct-21 12:02:21.044 [Actor Thread 6] DEBUG n.splitter.AbstractTextSplitter - Splitter `Text` collector path: nextflow.splitter.TextFileCollector$CachePath(/group/soranzo/bruno.ariano/TileDB-sumstat/work/86/0960349c40eb387dea4a66c6232d9d/locusbreaker_test_table.csv, null) -Oct-21 12:02:21.175 [Actor Thread 21] DEBUG nextflow.conda.CondaCache - conda found local env for environment=/ssu/gassu/conda_envs/scqtl; path=/ssu/gassu/conda_envs/scqtl -Oct-21 12:02:21.257 [Task submitter] DEBUG n.executor.local.LocalTaskHandler - Launch cmd line: /bin/bash -ue .command.run -Oct-21 12:02:21.259 [Task submitter] INFO nextflow.Session - [5a/13fd57] Submitted process > EXPORT_LOCUSBREAKER (3) -Oct-21 12:02:21.277 [Task submitter] DEBUG n.executor.local.LocalTaskHandler - Launch cmd line: /bin/bash -ue .command.run -Oct-21 12:02:21.278 [Task submitter] INFO nextflow.Session - [7c/60afd2] Submitted process > EXPORT_LOCUSBREAKER (2) -Oct-21 12:02:21.294 [Task submitter] DEBUG n.executor.local.LocalTaskHandler - Launch cmd line: /bin/bash -ue .command.run -Oct-21 12:02:21.294 [Task submitter] INFO nextflow.Session - [01/981e08] Submitted process > EXPORT_LOCUSBREAKER (1) -Oct-21 12:02:42.991 [Task monitor] DEBUG n.processor.TaskPollingMonitor - Task completed > TaskHandler[id: 1; name: EXPORT_LOCUSBREAKER (1); status: COMPLETED; exit: 0; error: -; workDir: /group/soranzo/bruno.ariano/TileDB-sumstat/work/01/981e087bad5677317433d4f7c6c592] -Oct-21 12:02:42.992 [Task monitor] DEBUG nextflow.util.ThreadPoolBuilder - Creating thread pool 'TaskFinalizer' minSize=10; maxSize=120; workQueue=LinkedBlockingQueue[-1]; allowCoreThreadTimeout=false -Oct-21 12:02:43.066 [TaskFinalizer-1] DEBUG nextflow.processor.TaskProcessor - Process EXPORT_LOCUSBREAKER > Skipping output binding because one or more optional files are missing: fileoutparam<0> -Oct-21 12:02:43.066 [TaskFinalizer-1] DEBUG nextflow.processor.TaskProcessor - Process EXPORT_LOCUSBREAKER > Skipping output binding because one or more optional files are missing: fileoutparam<1> -Oct-21 12:02:43.473 [Task monitor] DEBUG n.processor.TaskPollingMonitor - Task completed > TaskHandler[id: 3; name: EXPORT_LOCUSBREAKER (3); status: COMPLETED; exit: 0; error: -; workDir: /group/soranzo/bruno.ariano/TileDB-sumstat/work/5a/13fd5798c7574a48be77e3c3f156b1] -Oct-21 12:02:43.480 [TaskFinalizer-2] DEBUG nextflow.processor.TaskProcessor - Process EXPORT_LOCUSBREAKER > Skipping output binding because one or more optional files are missing: fileoutparam<0> -Oct-21 12:02:43.480 [TaskFinalizer-2] DEBUG nextflow.processor.TaskProcessor - Process EXPORT_LOCUSBREAKER > Skipping output binding because one or more optional files are missing: fileoutparam<1> -Oct-21 12:02:43.731 [Task monitor] DEBUG n.processor.TaskPollingMonitor - Task completed > TaskHandler[id: 2; name: EXPORT_LOCUSBREAKER (2); status: COMPLETED; exit: 0; error: -; workDir: /group/soranzo/bruno.ariano/TileDB-sumstat/work/7c/60afd2578f69efa734d6ba049f7fc4] -Oct-21 12:02:43.736 [TaskFinalizer-3] DEBUG nextflow.processor.TaskProcessor - Process EXPORT_LOCUSBREAKER > Skipping output binding because one or more optional files are missing: fileoutparam<0> -Oct-21 12:02:43.736 [TaskFinalizer-3] DEBUG nextflow.processor.TaskProcessor - Process EXPORT_LOCUSBREAKER > Skipping output binding because one or more optional files are missing: fileoutparam<1> -Oct-21 12:02:43.741 [main] DEBUG nextflow.Session - Session await > all processes finished -Oct-21 12:02:43.831 [Task monitor] DEBUG n.processor.TaskPollingMonitor - <<< barrier arrives (monitor: local) - terminating tasks monitor poll loop -Oct-21 12:02:43.831 [main] DEBUG nextflow.Session - Session await > all barriers passed -Oct-21 12:02:43.834 [main] DEBUG nextflow.util.ThreadPoolManager - Thread pool 'TaskFinalizer' shutdown completed (hard=false) -Oct-21 12:02:43.839 [main] DEBUG n.trace.WorkflowStatsObserver - Workflow completed > WorkflowStats[succeededCount=3; failedCount=0; ignoredCount=0; cachedCount=0; pendingCount=0; submittedCount=0; runningCount=0; retriesCount=0; abortedCount=0; succeedDuration=3m 55s; failedDuration=0ms; cachedDuration=0ms;loadCpus=0; loadMemory=0; peakRunning=3; peakCpus=18; peakMemory=90 GB; ] -Oct-21 12:02:43.839 [main] DEBUG nextflow.trace.TraceFileObserver - Workflow completed -- saving trace file -Oct-21 12:02:43.841 [main] DEBUG nextflow.trace.ReportObserver - Workflow completed -- rendering execution report -Oct-21 12:02:44.308 [main] DEBUG nextflow.trace.TimelineObserver - Workflow completed -- rendering execution timeline -Oct-21 12:02:44.494 [main] DEBUG nextflow.cache.CacheDB - Closing CacheDB done -Oct-21 12:02:44.523 [main] DEBUG nextflow.util.ThreadPoolManager - Thread pool 'FileTransfer' shutdown completed (hard=false) -Oct-21 12:02:44.523 [main] DEBUG nextflow.script.ScriptRunner - > Execution complete -- Goodbye diff --git a/.nextflow.log.1 b/.nextflow.log.1 deleted file mode 100644 index ef6216c..0000000 --- a/.nextflow.log.1 +++ /dev/null @@ -1,88 +0,0 @@ -Oct-21 12:00:51.202 [main] DEBUG nextflow.cli.Launcher - $> nextflow run main.nf -profile conda,test_export_lb -Oct-21 12:00:51.365 [main] DEBUG nextflow.cli.CmdRun - N E X T F L O W ~ version 25.04.3 -Oct-21 12:00:51.385 [main] DEBUG nextflow.plugin.PluginsFacade - Setting up plugin manager > mode=prod; embedded=false; plugins-dir=/home/bruno.ariano/.nextflow/plugins; core-plugins: nf-amazon@2.15.0,nf-azure@1.16.0,nf-cloudcache@0.4.3,nf-codecommit@0.2.3,nf-console@1.2.1,nf-google@1.21.0,nf-k8s@1.0.0,nf-tower@1.11.3,nf-wave@1.12.1 -Oct-21 12:00:51.407 [main] INFO o.pf4j.DefaultPluginStatusProvider - Enabled plugins: [] -Oct-21 12:00:51.408 [main] INFO o.pf4j.DefaultPluginStatusProvider - Disabled plugins: [] -Oct-21 12:00:51.412 [main] INFO org.pf4j.DefaultPluginManager - PF4J version 3.12.0 in 'deployment' mode -Oct-21 12:00:51.433 [main] INFO org.pf4j.AbstractPluginManager - No plugins -Oct-21 12:00:51.454 [main] DEBUG nextflow.config.ConfigBuilder - Found config local: /group/soranzo/bruno.ariano/TileDB-sumstat/nextflow.config -Oct-21 12:00:51.456 [main] DEBUG nextflow.config.ConfigBuilder - Parsing config file: /group/soranzo/bruno.ariano/TileDB-sumstat/nextflow.config -Oct-21 12:00:51.482 [main] DEBUG n.secret.LocalSecretsProvider - Secrets store: /home/bruno.ariano/.nextflow/secrets/store.json -Oct-21 12:00:51.485 [main] DEBUG nextflow.secret.SecretsLoader - Discovered secrets providers: [nextflow.secret.LocalSecretsProvider@5c41d037] - activable => nextflow.secret.LocalSecretsProvider@5c41d037 -Oct-21 12:00:51.490 [main] DEBUG nextflow.config.ConfigBuilder - Applying config profile: `conda,test_export_lb` -Oct-21 12:00:52.178 [main] DEBUG nextflow.config.ConfigBuilder - Available config profiles: [shifter, test, mamba, charliecloud, apptainer, conda, test_export_lb, singularity, wave, docker, podman] -Oct-21 12:00:52.208 [main] DEBUG nextflow.cli.CmdRun - Applied DSL=2 by global default -Oct-21 12:00:52.226 [main] DEBUG nextflow.cli.CmdRun - Launching `main.nf` [goofy_gauss] DSL2 - revision: 1309f0cb95 -Oct-21 12:00:52.228 [main] DEBUG nextflow.plugin.PluginsFacade - Plugins default=[] -Oct-21 12:00:52.228 [main] DEBUG nextflow.plugin.PluginsFacade - Plugins resolved requirement=[] -Oct-21 12:00:52.271 [main] DEBUG nextflow.Session - Session UUID: 951ecab3-e97d-4a18-8e94-e96f08be5a7b -Oct-21 12:00:52.271 [main] DEBUG nextflow.Session - Run name: goofy_gauss -Oct-21 12:00:52.272 [main] DEBUG nextflow.Session - Executor pool size: 40 -Oct-21 12:00:52.278 [main] DEBUG nextflow.file.FilePorter - File porter settings maxRetries=3; maxTransfers=50; pollTimeout=null -Oct-21 12:00:52.283 [main] DEBUG nextflow.util.ThreadPoolBuilder - Creating thread pool 'FileTransfer' minSize=10; maxSize=120; workQueue=LinkedBlockingQueue[-1]; allowCoreThreadTimeout=false -Oct-21 12:00:52.307 [main] DEBUG nextflow.cli.CmdRun - - Version: 25.04.3 build 5949 - Created: 02-06-2025 20:56 UTC (22:56 CEST) - System: Linux 4.18.0-477.10.1.el8_8.x86_64 - Runtime: Groovy 4.0.26 on OpenJDK 64-Bit Server VM 17.0.8.1+1 - Encoding: UTF-8 (UTF-8) - Process: 1534261@hnode02 [192.168.104.253] - CPUs: 40 - Mem: 375.9 GB (13.8 GB) - Swap: 64 GB (59.2 GB) -Oct-21 12:00:52.346 [main] DEBUG nextflow.Session - Work-dir: /group/soranzo/bruno.ariano/TileDB-sumstat/work [nfs] -Oct-21 12:00:52.347 [main] DEBUG nextflow.Session - Script base path does not exist or is not a directory: /group/soranzo/bruno.ariano/TileDB-sumstat/bin -Oct-21 12:00:52.355 [main] DEBUG nextflow.executor.ExecutorFactory - Extension executors providers=[] -Oct-21 12:00:52.363 [main] DEBUG nextflow.Session - Observer factory: DefaultObserverFactory -Oct-21 12:00:52.389 [main] DEBUG nextflow.Session - Observer factory (v2): LinObserverFactory -Oct-21 12:00:52.410 [main] DEBUG nextflow.cache.CacheFactory - Using Nextflow cache factory: nextflow.cache.DefaultCacheFactory -Oct-21 12:00:52.418 [main] DEBUG nextflow.util.CustomThreadPool - Creating default thread pool > poolSize: 41; maxThreads: 1000 -Oct-21 12:00:52.512 [main] DEBUG nextflow.Session - Session start -Oct-21 12:00:52.515 [main] DEBUG nextflow.trace.TraceFileObserver - Workflow started -- trace file: /group/soranzo/bruno.ariano/TileDB-sumstat/results/pipeline_info/execution_trace_2025-10-21_12-00-52.txt -Oct-21 12:00:52.689 [main] DEBUG nextflow.script.ScriptRunner - > Launching execution -Oct-21 12:00:53.111 [main] DEBUG nextflow.script.ProcessConfig - Config settings `withLabel:process_multi` matches labels `process_multi` for process with name EXPORT_LOCUSBREAKER -Oct-21 12:00:53.119 [main] DEBUG nextflow.executor.ExecutorFactory - << taskConfig executor: null -Oct-21 12:00:53.119 [main] DEBUG nextflow.executor.ExecutorFactory - >> processorType: 'local' -Oct-21 12:00:53.125 [main] DEBUG nextflow.executor.Executor - [warm up] executor > local -Oct-21 12:00:53.130 [main] DEBUG n.processor.LocalPollingMonitor - Creating local task monitor for executor 'local' > cpus=40; memory=375.9 GB; capacity=40; pollInterval=100ms; dumpInterval=5m -Oct-21 12:00:53.132 [main] DEBUG n.processor.TaskPollingMonitor - >>> barrier register (monitor: local) -Oct-21 12:00:53.152 [main] DEBUG nextflow.processor.TaskProcessor - Creating process 'EXPORT_LOCUSBREAKER': maxForks=0; fair=false; array=0 -Oct-21 12:00:53.181 [main] DEBUG nextflow.Session - Workflow process names [dsl2]: EXPORT_LOCUSBREAKER, MERGE_METADATA, EXPORT_REGIONS, INGEST_DATA, CREATE_TILEDB -Oct-21 12:00:53.183 [main] DEBUG nextflow.Session - Igniting dataflow network (2) -Oct-21 12:00:53.187 [main] DEBUG nextflow.processor.TaskProcessor - Starting process > EXPORT_LOCUSBREAKER -Oct-21 12:00:53.188 [main] DEBUG nextflow.script.ScriptRunner - Parsed script files: - Script_7b14281b3e71c830: /group/soranzo/bruno.ariano/TileDB-sumstat/modules/merge_metadata/main.nf - Script_f79ff21670d5e55f: /group/soranzo/bruno.ariano/TileDB-sumstat/modules/regions/main.nf - Script_aef310e1ce2070d7: /group/soranzo/bruno.ariano/TileDB-sumstat/modules/locusbreaker/main.nf - Script_fa94f925e889eb3d: /group/soranzo/bruno.ariano/TileDB-sumstat/modules/create_tiledb/main.nf - Script_9642d9956a1c233a: /group/soranzo/bruno.ariano/TileDB-sumstat/modules/ingestion/main.nf - Script_d23e1daa06b1131d: /group/soranzo/bruno.ariano/TileDB-sumstat/main.nf -Oct-21 12:00:53.188 [main] DEBUG nextflow.script.ScriptRunner - > Awaiting termination -Oct-21 12:00:53.188 [main] DEBUG nextflow.Session - Session await -Oct-21 12:00:53.235 [Actor Thread 6] DEBUG n.splitter.AbstractTextSplitter - Splitter `Text` collector path: nextflow.splitter.TextFileCollector$CachePath(/group/soranzo/bruno.ariano/TileDB-sumstat/work/c4/1125fa4473030d4463b96a0cfb365a/locusbreaker_test_table.csv, null) -Oct-21 12:00:53.368 [Actor Thread 21] DEBUG nextflow.conda.CondaCache - conda found local env for environment=/ssu/gassu/conda_envs/scqtl; path=/ssu/gassu/conda_envs/scqtl -Oct-21 12:00:53.487 [Task submitter] DEBUG n.executor.local.LocalTaskHandler - Launch cmd line: /bin/bash -ue .command.run -Oct-21 12:00:53.490 [Task submitter] INFO nextflow.Session - [e3/5858ea] Submitted process > EXPORT_LOCUSBREAKER (3) -Oct-21 12:00:53.509 [Task submitter] DEBUG n.executor.local.LocalTaskHandler - Launch cmd line: /bin/bash -ue .command.run -Oct-21 12:00:53.509 [Task submitter] INFO nextflow.Session - [46/f2b72c] Submitted process > EXPORT_LOCUSBREAKER (1) -Oct-21 12:00:53.523 [Task submitter] DEBUG n.executor.local.LocalTaskHandler - Launch cmd line: /bin/bash -ue .command.run -Oct-21 12:00:53.524 [Task submitter] INFO nextflow.Session - [86/6be0a7] Submitted process > EXPORT_LOCUSBREAKER (2) -Oct-21 12:01:16.019 [Task monitor] DEBUG n.processor.TaskPollingMonitor - Task completed > TaskHandler[id: 1; name: EXPORT_LOCUSBREAKER (1); status: COMPLETED; exit: 0; error: -; workDir: /group/soranzo/bruno.ariano/TileDB-sumstat/work/46/f2b72cd07364a1d57e8b5d656c80fb] -Oct-21 12:01:16.020 [Task monitor] DEBUG nextflow.util.ThreadPoolBuilder - Creating thread pool 'TaskFinalizer' minSize=10; maxSize=120; workQueue=LinkedBlockingQueue[-1]; allowCoreThreadTimeout=false -Oct-21 12:01:16.104 [TaskFinalizer-1] DEBUG nextflow.processor.TaskProcessor - Process EXPORT_LOCUSBREAKER > Skipping output binding because one or more optional files are missing: fileoutparam<0> -Oct-21 12:01:16.105 [TaskFinalizer-1] DEBUG nextflow.processor.TaskProcessor - Process EXPORT_LOCUSBREAKER > Skipping output binding because one or more optional files are missing: fileoutparam<1> -Oct-21 12:01:16.383 [Task monitor] DEBUG n.processor.TaskPollingMonitor - Task completed > TaskHandler[id: 2; name: EXPORT_LOCUSBREAKER (2); status: COMPLETED; exit: 0; error: -; workDir: /group/soranzo/bruno.ariano/TileDB-sumstat/work/86/6be0a7062a6a1670bac4caf032795f] -Oct-21 12:01:16.391 [TaskFinalizer-2] DEBUG nextflow.processor.TaskProcessor - Process EXPORT_LOCUSBREAKER > Skipping output binding because one or more optional files are missing: fileoutparam<0> -Oct-21 12:01:16.391 [TaskFinalizer-2] DEBUG nextflow.processor.TaskProcessor - Process EXPORT_LOCUSBREAKER > Skipping output binding because one or more optional files are missing: fileoutparam<1> -Oct-21 12:01:16.641 [Task monitor] DEBUG n.processor.TaskPollingMonitor - Task completed > TaskHandler[id: 3; name: EXPORT_LOCUSBREAKER (3); status: COMPLETED; exit: 0; error: -; workDir: /group/soranzo/bruno.ariano/TileDB-sumstat/work/e3/5858eaf6e5cc0bccc802adfb61b47b] -Oct-21 12:01:16.646 [TaskFinalizer-3] DEBUG nextflow.processor.TaskProcessor - Process EXPORT_LOCUSBREAKER > Skipping output binding because one or more optional files are missing: fileoutparam<0> -Oct-21 12:01:16.646 [TaskFinalizer-3] DEBUG nextflow.processor.TaskProcessor - Process EXPORT_LOCUSBREAKER > Skipping output binding because one or more optional files are missing: fileoutparam<1> -Oct-21 12:01:16.652 [main] DEBUG nextflow.Session - Session await > all processes finished -Oct-21 12:01:16.742 [Task monitor] DEBUG n.processor.TaskPollingMonitor - <<< barrier arrives (monitor: local) - terminating tasks monitor poll loop -Oct-21 12:01:16.742 [main] DEBUG nextflow.Session - Session await > all barriers passed -Oct-21 12:01:16.745 [main] DEBUG nextflow.util.ThreadPoolManager - Thread pool 'TaskFinalizer' shutdown completed (hard=false) -Oct-21 12:01:16.750 [main] DEBUG n.trace.WorkflowStatsObserver - Workflow completed > WorkflowStats[succeededCount=3; failedCount=0; ignoredCount=0; cachedCount=0; pendingCount=0; submittedCount=0; runningCount=0; retriesCount=0; abortedCount=0; succeedDuration=4m 4s; failedDuration=0ms; cachedDuration=0ms;loadCpus=0; loadMemory=0; peakRunning=3; peakCpus=18; peakMemory=90 GB; ] -Oct-21 12:01:16.750 [main] DEBUG nextflow.trace.TraceFileObserver - Workflow completed -- saving trace file -Oct-21 12:01:16.753 [main] DEBUG nextflow.trace.ReportObserver - Workflow completed -- rendering execution report -Oct-21 12:01:17.269 [main] DEBUG nextflow.trace.TimelineObserver - Workflow completed -- rendering execution timeline -Oct-21 12:01:17.395 [main] DEBUG nextflow.cache.CacheDB - Closing CacheDB done -Oct-21 12:01:17.427 [main] DEBUG nextflow.util.ThreadPoolManager - Thread pool 'FileTransfer' shutdown completed (hard=false) -Oct-21 12:01:17.428 [main] DEBUG nextflow.script.ScriptRunner - > Execution complete -- Goodbye diff --git a/.nextflow.log.2 b/.nextflow.log.2 deleted file mode 100644 index 23301ed..0000000 --- a/.nextflow.log.2 +++ /dev/null @@ -1,88 +0,0 @@ -Oct-21 11:57:00.845 [main] DEBUG nextflow.cli.Launcher - $> nextflow run main.nf -profile conda,test_export_lb -Oct-21 11:57:00.998 [main] DEBUG nextflow.cli.CmdRun - N E X T F L O W ~ version 25.04.3 -Oct-21 11:57:01.020 [main] DEBUG nextflow.plugin.PluginsFacade - Setting up plugin manager > mode=prod; embedded=false; plugins-dir=/home/bruno.ariano/.nextflow/plugins; core-plugins: nf-amazon@2.15.0,nf-azure@1.16.0,nf-cloudcache@0.4.3,nf-codecommit@0.2.3,nf-console@1.2.1,nf-google@1.21.0,nf-k8s@1.0.0,nf-tower@1.11.3,nf-wave@1.12.1 -Oct-21 11:57:01.057 [main] INFO o.pf4j.DefaultPluginStatusProvider - Enabled plugins: [] -Oct-21 11:57:01.058 [main] INFO o.pf4j.DefaultPluginStatusProvider - Disabled plugins: [] -Oct-21 11:57:01.061 [main] INFO org.pf4j.DefaultPluginManager - PF4J version 3.12.0 in 'deployment' mode -Oct-21 11:57:01.074 [main] INFO org.pf4j.AbstractPluginManager - No plugins -Oct-21 11:57:01.095 [main] DEBUG nextflow.config.ConfigBuilder - Found config local: /group/soranzo/bruno.ariano/TileDB-sumstat/nextflow.config -Oct-21 11:57:01.098 [main] DEBUG nextflow.config.ConfigBuilder - Parsing config file: /group/soranzo/bruno.ariano/TileDB-sumstat/nextflow.config -Oct-21 11:57:01.129 [main] DEBUG n.secret.LocalSecretsProvider - Secrets store: /home/bruno.ariano/.nextflow/secrets/store.json -Oct-21 11:57:01.132 [main] DEBUG nextflow.secret.SecretsLoader - Discovered secrets providers: [nextflow.secret.LocalSecretsProvider@5c41d037] - activable => nextflow.secret.LocalSecretsProvider@5c41d037 -Oct-21 11:57:01.138 [main] DEBUG nextflow.config.ConfigBuilder - Applying config profile: `conda,test_export_lb` -Oct-21 11:57:01.901 [main] DEBUG nextflow.config.ConfigBuilder - Available config profiles: [shifter, test, mamba, charliecloud, apptainer, conda, test_export_lb, singularity, wave, docker, podman] -Oct-21 11:57:01.934 [main] DEBUG nextflow.cli.CmdRun - Applied DSL=2 by global default -Oct-21 11:57:01.948 [main] DEBUG nextflow.cli.CmdRun - Launching `main.nf` [distraught_rubens] DSL2 - revision: 1309f0cb95 -Oct-21 11:57:01.950 [main] DEBUG nextflow.plugin.PluginsFacade - Plugins default=[] -Oct-21 11:57:01.950 [main] DEBUG nextflow.plugin.PluginsFacade - Plugins resolved requirement=[] -Oct-21 11:57:01.993 [main] DEBUG nextflow.Session - Session UUID: 60236dfd-d34f-4cf5-9fa5-c3e1b4908b7a -Oct-21 11:57:01.993 [main] DEBUG nextflow.Session - Run name: distraught_rubens -Oct-21 11:57:01.994 [main] DEBUG nextflow.Session - Executor pool size: 40 -Oct-21 11:57:02.001 [main] DEBUG nextflow.file.FilePorter - File porter settings maxRetries=3; maxTransfers=50; pollTimeout=null -Oct-21 11:57:02.005 [main] DEBUG nextflow.util.ThreadPoolBuilder - Creating thread pool 'FileTransfer' minSize=10; maxSize=120; workQueue=LinkedBlockingQueue[-1]; allowCoreThreadTimeout=false -Oct-21 11:57:02.031 [main] DEBUG nextflow.cli.CmdRun - - Version: 25.04.3 build 5949 - Created: 02-06-2025 20:56 UTC (22:56 CEST) - System: Linux 4.18.0-477.10.1.el8_8.x86_64 - Runtime: Groovy 4.0.26 on OpenJDK 64-Bit Server VM 17.0.8.1+1 - Encoding: UTF-8 (UTF-8) - Process: 1519318@hnode02 [192.168.104.253] - CPUs: 40 - Mem: 375.9 GB (12.5 GB) - Swap: 64 GB (59.2 GB) -Oct-21 11:57:02.061 [main] DEBUG nextflow.Session - Work-dir: /group/soranzo/bruno.ariano/TileDB-sumstat/work [nfs] -Oct-21 11:57:02.062 [main] DEBUG nextflow.Session - Script base path does not exist or is not a directory: /group/soranzo/bruno.ariano/TileDB-sumstat/bin -Oct-21 11:57:02.072 [main] DEBUG nextflow.executor.ExecutorFactory - Extension executors providers=[] -Oct-21 11:57:02.081 [main] DEBUG nextflow.Session - Observer factory: DefaultObserverFactory -Oct-21 11:57:02.111 [main] DEBUG nextflow.Session - Observer factory (v2): LinObserverFactory -Oct-21 11:57:02.134 [main] DEBUG nextflow.cache.CacheFactory - Using Nextflow cache factory: nextflow.cache.DefaultCacheFactory -Oct-21 11:57:02.143 [main] DEBUG nextflow.util.CustomThreadPool - Creating default thread pool > poolSize: 41; maxThreads: 1000 -Oct-21 11:57:02.229 [main] DEBUG nextflow.Session - Session start -Oct-21 11:57:02.233 [main] DEBUG nextflow.trace.TraceFileObserver - Workflow started -- trace file: /group/soranzo/bruno.ariano/TileDB-sumstat/results/pipeline_info/execution_trace_2025-10-21_11-57-01.txt -Oct-21 11:57:02.415 [main] DEBUG nextflow.script.ScriptRunner - > Launching execution -Oct-21 11:57:02.847 [main] DEBUG nextflow.script.ProcessConfig - Config settings `withLabel:process_multi` matches labels `process_multi` for process with name EXPORT_LOCUSBREAKER -Oct-21 11:57:02.856 [main] DEBUG nextflow.executor.ExecutorFactory - << taskConfig executor: null -Oct-21 11:57:02.856 [main] DEBUG nextflow.executor.ExecutorFactory - >> processorType: 'local' -Oct-21 11:57:02.863 [main] DEBUG nextflow.executor.Executor - [warm up] executor > local -Oct-21 11:57:02.869 [main] DEBUG n.processor.LocalPollingMonitor - Creating local task monitor for executor 'local' > cpus=40; memory=375.9 GB; capacity=40; pollInterval=100ms; dumpInterval=5m -Oct-21 11:57:02.871 [main] DEBUG n.processor.TaskPollingMonitor - >>> barrier register (monitor: local) -Oct-21 11:57:02.891 [main] DEBUG nextflow.processor.TaskProcessor - Creating process 'EXPORT_LOCUSBREAKER': maxForks=0; fair=false; array=0 -Oct-21 11:57:02.921 [main] DEBUG nextflow.Session - Workflow process names [dsl2]: EXPORT_LOCUSBREAKER, MERGE_METADATA, EXPORT_REGIONS, INGEST_DATA, CREATE_TILEDB -Oct-21 11:57:02.923 [main] DEBUG nextflow.Session - Igniting dataflow network (2) -Oct-21 11:57:02.928 [main] DEBUG nextflow.processor.TaskProcessor - Starting process > EXPORT_LOCUSBREAKER -Oct-21 11:57:02.929 [main] DEBUG nextflow.script.ScriptRunner - Parsed script files: - Script_7b14281b3e71c830: /group/soranzo/bruno.ariano/TileDB-sumstat/modules/merge_metadata/main.nf - Script_f79ff21670d5e55f: /group/soranzo/bruno.ariano/TileDB-sumstat/modules/regions/main.nf - Script_25f7cc05cc930eea: /group/soranzo/bruno.ariano/TileDB-sumstat/modules/locusbreaker/main.nf - Script_fa94f925e889eb3d: /group/soranzo/bruno.ariano/TileDB-sumstat/modules/create_tiledb/main.nf - Script_9642d9956a1c233a: /group/soranzo/bruno.ariano/TileDB-sumstat/modules/ingestion/main.nf - Script_d23e1daa06b1131d: /group/soranzo/bruno.ariano/TileDB-sumstat/main.nf -Oct-21 11:57:02.929 [main] DEBUG nextflow.script.ScriptRunner - > Awaiting termination -Oct-21 11:57:02.929 [main] DEBUG nextflow.Session - Session await -Oct-21 11:57:02.943 [Actor Thread 6] DEBUG n.splitter.AbstractTextSplitter - Splitter `Text` collector path: nextflow.splitter.TextFileCollector$CachePath(/group/soranzo/bruno.ariano/TileDB-sumstat/work/9c/0e036d55b11512bfaebb93386a9129/locusbreaker_test_table.csv, null) -Oct-21 11:57:03.081 [Actor Thread 23] DEBUG nextflow.conda.CondaCache - conda found local env for environment=/ssu/gassu/conda_envs/scqtl; path=/ssu/gassu/conda_envs/scqtl -Oct-21 11:57:03.168 [Task submitter] DEBUG n.executor.local.LocalTaskHandler - Launch cmd line: /bin/bash -ue .command.run -Oct-21 11:57:03.170 [Task submitter] INFO nextflow.Session - [5d/7b02c3] Submitted process > EXPORT_LOCUSBREAKER (3) -Oct-21 11:57:03.189 [Task submitter] DEBUG n.executor.local.LocalTaskHandler - Launch cmd line: /bin/bash -ue .command.run -Oct-21 11:57:03.190 [Task submitter] INFO nextflow.Session - [39/7f63e1] Submitted process > EXPORT_LOCUSBREAKER (2) -Oct-21 11:57:03.206 [Task submitter] DEBUG n.executor.local.LocalTaskHandler - Launch cmd line: /bin/bash -ue .command.run -Oct-21 11:57:03.206 [Task submitter] INFO nextflow.Session - [79/d00e23] Submitted process > EXPORT_LOCUSBREAKER (1) -Oct-21 11:57:25.811 [Task monitor] DEBUG n.processor.TaskPollingMonitor - Task completed > TaskHandler[id: 3; name: EXPORT_LOCUSBREAKER (3); status: COMPLETED; exit: 0; error: -; workDir: /group/soranzo/bruno.ariano/TileDB-sumstat/work/5d/7b02c3e85dab20b1d3d6e9361b185a] -Oct-21 11:57:25.812 [Task monitor] DEBUG nextflow.util.ThreadPoolBuilder - Creating thread pool 'TaskFinalizer' minSize=10; maxSize=120; workQueue=LinkedBlockingQueue[-1]; allowCoreThreadTimeout=false -Oct-21 11:57:25.933 [TaskFinalizer-1] DEBUG nextflow.processor.TaskProcessor - Process EXPORT_LOCUSBREAKER > Skipping output binding because one or more optional files are missing: fileoutparam<0> -Oct-21 11:57:25.933 [TaskFinalizer-1] DEBUG nextflow.processor.TaskProcessor - Process EXPORT_LOCUSBREAKER > Skipping output binding because one or more optional files are missing: fileoutparam<1> -Oct-21 11:57:25.991 [Task monitor] DEBUG n.processor.TaskPollingMonitor - Task completed > TaskHandler[id: 1; name: EXPORT_LOCUSBREAKER (1); status: COMPLETED; exit: 0; error: -; workDir: /group/soranzo/bruno.ariano/TileDB-sumstat/work/79/d00e2390ef9ac0e189531a5a08b896] -Oct-21 11:57:25.998 [TaskFinalizer-2] DEBUG nextflow.processor.TaskProcessor - Process EXPORT_LOCUSBREAKER > Skipping output binding because one or more optional files are missing: fileoutparam<0> -Oct-21 11:57:25.998 [TaskFinalizer-2] DEBUG nextflow.processor.TaskProcessor - Process EXPORT_LOCUSBREAKER > Skipping output binding because one or more optional files are missing: fileoutparam<1> -Oct-21 11:57:26.354 [Task monitor] DEBUG n.processor.TaskPollingMonitor - Task completed > TaskHandler[id: 2; name: EXPORT_LOCUSBREAKER (2); status: COMPLETED; exit: 0; error: -; workDir: /group/soranzo/bruno.ariano/TileDB-sumstat/work/39/7f63e10e39c1dc4d7b98f042acb351] -Oct-21 11:57:26.359 [TaskFinalizer-3] DEBUG nextflow.processor.TaskProcessor - Process EXPORT_LOCUSBREAKER > Skipping output binding because one or more optional files are missing: fileoutparam<0> -Oct-21 11:57:26.359 [TaskFinalizer-3] DEBUG nextflow.processor.TaskProcessor - Process EXPORT_LOCUSBREAKER > Skipping output binding because one or more optional files are missing: fileoutparam<1> -Oct-21 11:57:26.365 [main] DEBUG nextflow.Session - Session await > all processes finished -Oct-21 11:57:26.455 [Task monitor] DEBUG n.processor.TaskPollingMonitor - <<< barrier arrives (monitor: local) - terminating tasks monitor poll loop -Oct-21 11:57:26.455 [main] DEBUG nextflow.Session - Session await > all barriers passed -Oct-21 11:57:26.458 [main] DEBUG nextflow.util.ThreadPoolManager - Thread pool 'TaskFinalizer' shutdown completed (hard=false) -Oct-21 11:57:26.463 [main] DEBUG n.trace.WorkflowStatsObserver - Workflow completed > WorkflowStats[succeededCount=3; failedCount=0; ignoredCount=0; cachedCount=0; pendingCount=0; submittedCount=0; runningCount=0; retriesCount=0; abortedCount=0; succeedDuration=4m 10s; failedDuration=0ms; cachedDuration=0ms;loadCpus=0; loadMemory=0; peakRunning=3; peakCpus=18; peakMemory=90 GB; ] -Oct-21 11:57:26.463 [main] DEBUG nextflow.trace.TraceFileObserver - Workflow completed -- saving trace file -Oct-21 11:57:26.466 [main] DEBUG nextflow.trace.ReportObserver - Workflow completed -- rendering execution report -Oct-21 11:57:26.946 [main] DEBUG nextflow.trace.TimelineObserver - Workflow completed -- rendering execution timeline -Oct-21 11:57:27.117 [main] DEBUG nextflow.cache.CacheDB - Closing CacheDB done -Oct-21 11:57:27.142 [main] DEBUG nextflow.util.ThreadPoolManager - Thread pool 'FileTransfer' shutdown completed (hard=false) -Oct-21 11:57:27.143 [main] DEBUG nextflow.script.ScriptRunner - > Execution complete -- Goodbye diff --git a/.nextflow.log.3 b/.nextflow.log.3 deleted file mode 100644 index f0be6b7..0000000 --- a/.nextflow.log.3 +++ /dev/null @@ -1,146 +0,0 @@ -Oct-21 11:55:27.947 [main] DEBUG nextflow.cli.Launcher - $> nextflow run main.nf -profile conda,test_export_lb -Oct-21 11:55:28.105 [main] DEBUG nextflow.cli.CmdRun - N E X T F L O W ~ version 25.04.3 -Oct-21 11:55:28.126 [main] DEBUG nextflow.plugin.PluginsFacade - Setting up plugin manager > mode=prod; embedded=false; plugins-dir=/home/bruno.ariano/.nextflow/plugins; core-plugins: nf-amazon@2.15.0,nf-azure@1.16.0,nf-cloudcache@0.4.3,nf-codecommit@0.2.3,nf-console@1.2.1,nf-google@1.21.0,nf-k8s@1.0.0,nf-tower@1.11.3,nf-wave@1.12.1 -Oct-21 11:55:28.148 [main] INFO o.pf4j.DefaultPluginStatusProvider - Enabled plugins: [] -Oct-21 11:55:28.149 [main] INFO o.pf4j.DefaultPluginStatusProvider - Disabled plugins: [] -Oct-21 11:55:28.152 [main] INFO org.pf4j.DefaultPluginManager - PF4J version 3.12.0 in 'deployment' mode -Oct-21 11:55:28.173 [main] INFO org.pf4j.AbstractPluginManager - No plugins -Oct-21 11:55:28.197 [main] DEBUG nextflow.config.ConfigBuilder - Found config local: /group/soranzo/bruno.ariano/TileDB-sumstat/nextflow.config -Oct-21 11:55:28.199 [main] DEBUG nextflow.config.ConfigBuilder - Parsing config file: /group/soranzo/bruno.ariano/TileDB-sumstat/nextflow.config -Oct-21 11:55:28.231 [main] DEBUG n.secret.LocalSecretsProvider - Secrets store: /home/bruno.ariano/.nextflow/secrets/store.json -Oct-21 11:55:28.235 [main] DEBUG nextflow.secret.SecretsLoader - Discovered secrets providers: [nextflow.secret.LocalSecretsProvider@5c41d037] - activable => nextflow.secret.LocalSecretsProvider@5c41d037 -Oct-21 11:55:28.241 [main] DEBUG nextflow.config.ConfigBuilder - Applying config profile: `conda,test_export_lb` -Oct-21 11:55:28.960 [main] DEBUG nextflow.config.ConfigBuilder - Available config profiles: [shifter, test, mamba, charliecloud, apptainer, conda, test_export_lb, singularity, wave, docker, podman] -Oct-21 11:55:28.992 [main] DEBUG nextflow.cli.CmdRun - Applied DSL=2 by global default -Oct-21 11:55:29.008 [main] DEBUG nextflow.cli.CmdRun - Launching `main.nf` [sick_galileo] DSL2 - revision: 1309f0cb95 -Oct-21 11:55:29.010 [main] DEBUG nextflow.plugin.PluginsFacade - Plugins default=[] -Oct-21 11:55:29.010 [main] DEBUG nextflow.plugin.PluginsFacade - Plugins resolved requirement=[] -Oct-21 11:55:29.054 [main] DEBUG nextflow.Session - Session UUID: 91e4e8cc-db78-4167-a9d6-4eeb596dcdf9 -Oct-21 11:55:29.055 [main] DEBUG nextflow.Session - Run name: sick_galileo -Oct-21 11:55:29.055 [main] DEBUG nextflow.Session - Executor pool size: 40 -Oct-21 11:55:29.063 [main] DEBUG nextflow.file.FilePorter - File porter settings maxRetries=3; maxTransfers=50; pollTimeout=null -Oct-21 11:55:29.067 [main] DEBUG nextflow.util.ThreadPoolBuilder - Creating thread pool 'FileTransfer' minSize=10; maxSize=120; workQueue=LinkedBlockingQueue[-1]; allowCoreThreadTimeout=false -Oct-21 11:55:29.094 [main] DEBUG nextflow.cli.CmdRun - - Version: 25.04.3 build 5949 - Created: 02-06-2025 20:56 UTC (22:56 CEST) - System: Linux 4.18.0-477.10.1.el8_8.x86_64 - Runtime: Groovy 4.0.26 on OpenJDK 64-Bit Server VM 17.0.8.1+1 - Encoding: UTF-8 (UTF-8) - Process: 1511892@hnode02 [192.168.104.253] - CPUs: 40 - Mem: 375.9 GB (12.5 GB) - Swap: 64 GB (59.2 GB) -Oct-21 11:55:29.125 [main] DEBUG nextflow.Session - Work-dir: /group/soranzo/bruno.ariano/TileDB-sumstat/work [nfs] -Oct-21 11:55:29.126 [main] DEBUG nextflow.Session - Script base path does not exist or is not a directory: /group/soranzo/bruno.ariano/TileDB-sumstat/bin -Oct-21 11:55:29.135 [main] DEBUG nextflow.executor.ExecutorFactory - Extension executors providers=[] -Oct-21 11:55:29.144 [main] DEBUG nextflow.Session - Observer factory: DefaultObserverFactory -Oct-21 11:55:29.174 [main] DEBUG nextflow.Session - Observer factory (v2): LinObserverFactory -Oct-21 11:55:29.197 [main] DEBUG nextflow.cache.CacheFactory - Using Nextflow cache factory: nextflow.cache.DefaultCacheFactory -Oct-21 11:55:29.206 [main] DEBUG nextflow.util.CustomThreadPool - Creating default thread pool > poolSize: 41; maxThreads: 1000 -Oct-21 11:55:29.288 [main] DEBUG nextflow.Session - Session start -Oct-21 11:55:29.291 [main] DEBUG nextflow.trace.TraceFileObserver - Workflow started -- trace file: /group/soranzo/bruno.ariano/TileDB-sumstat/results/pipeline_info/execution_trace_2025-10-21_11-55-28.txt -Oct-21 11:55:29.474 [main] DEBUG nextflow.script.ScriptRunner - > Launching execution -Oct-21 11:55:29.925 [main] DEBUG nextflow.script.ProcessConfig - Config settings `withLabel:process_multi` matches labels `process_multi` for process with name EXPORT_LOCUSBREAKER -Oct-21 11:55:29.935 [main] DEBUG nextflow.executor.ExecutorFactory - << taskConfig executor: null -Oct-21 11:55:29.936 [main] DEBUG nextflow.executor.ExecutorFactory - >> processorType: 'local' -Oct-21 11:55:29.942 [main] DEBUG nextflow.executor.Executor - [warm up] executor > local -Oct-21 11:55:29.948 [main] DEBUG n.processor.LocalPollingMonitor - Creating local task monitor for executor 'local' > cpus=40; memory=375.9 GB; capacity=40; pollInterval=100ms; dumpInterval=5m -Oct-21 11:55:29.951 [main] DEBUG n.processor.TaskPollingMonitor - >>> barrier register (monitor: local) -Oct-21 11:55:29.972 [main] DEBUG nextflow.processor.TaskProcessor - Creating process 'EXPORT_LOCUSBREAKER': maxForks=0; fair=false; array=0 -Oct-21 11:55:30.000 [main] DEBUG nextflow.Session - Workflow process names [dsl2]: EXPORT_LOCUSBREAKER, MERGE_METADATA, EXPORT_REGIONS, INGEST_DATA, CREATE_TILEDB -Oct-21 11:55:30.002 [main] DEBUG nextflow.Session - Igniting dataflow network (2) -Oct-21 11:55:30.008 [main] DEBUG nextflow.processor.TaskProcessor - Starting process > EXPORT_LOCUSBREAKER -Oct-21 11:55:30.009 [main] DEBUG nextflow.script.ScriptRunner - Parsed script files: - Script_7b14281b3e71c830: /group/soranzo/bruno.ariano/TileDB-sumstat/modules/merge_metadata/main.nf - Script_f79ff21670d5e55f: /group/soranzo/bruno.ariano/TileDB-sumstat/modules/regions/main.nf - Script_25f7cc05cc930eea: /group/soranzo/bruno.ariano/TileDB-sumstat/modules/locusbreaker/main.nf - Script_fa94f925e889eb3d: /group/soranzo/bruno.ariano/TileDB-sumstat/modules/create_tiledb/main.nf - Script_9642d9956a1c233a: /group/soranzo/bruno.ariano/TileDB-sumstat/modules/ingestion/main.nf - Script_d23e1daa06b1131d: /group/soranzo/bruno.ariano/TileDB-sumstat/main.nf -Oct-21 11:55:30.009 [main] DEBUG nextflow.script.ScriptRunner - > Awaiting termination -Oct-21 11:55:30.009 [main] DEBUG nextflow.Session - Session await -Oct-21 11:55:30.025 [Actor Thread 6] DEBUG n.splitter.AbstractTextSplitter - Splitter `Text` collector path: nextflow.splitter.TextFileCollector$CachePath(/group/soranzo/bruno.ariano/TileDB-sumstat/work/bf/15ede2cde87d84a5376615e85df162/locusbreaker_test_table.csv, null) -Oct-21 11:55:30.157 [Actor Thread 22] DEBUG nextflow.conda.CondaCache - conda found local env for environment=/ssu/gassu/conda_envs/scqtl; path=/ssu/gassu/conda_envs/scqtl -Oct-21 11:55:30.241 [Task submitter] DEBUG n.executor.local.LocalTaskHandler - Launch cmd line: /bin/bash -ue .command.run -Oct-21 11:55:30.243 [Task submitter] INFO nextflow.Session - [f2/e8a2b7] Submitted process > EXPORT_LOCUSBREAKER (2) -Oct-21 11:55:30.260 [Task submitter] DEBUG n.executor.local.LocalTaskHandler - Launch cmd line: /bin/bash -ue .command.run -Oct-21 11:55:30.261 [Task submitter] INFO nextflow.Session - [9d/2f291b] Submitted process > EXPORT_LOCUSBREAKER (3) -Oct-21 11:55:30.274 [Task submitter] DEBUG n.executor.local.LocalTaskHandler - Launch cmd line: /bin/bash -ue .command.run -Oct-21 11:55:30.275 [Task submitter] INFO nextflow.Session - [33/2e3a90] Submitted process > EXPORT_LOCUSBREAKER (1) -Oct-21 11:55:50.359 [Task monitor] DEBUG n.processor.TaskPollingMonitor - Task completed > TaskHandler[id: 2; name: EXPORT_LOCUSBREAKER (2); status: COMPLETED; exit: 1; error: -; workDir: /group/soranzo/bruno.ariano/TileDB-sumstat/work/f2/e8a2b783babc51dd6ac02fb4ca3bf5] -Oct-21 11:55:50.360 [Task monitor] DEBUG nextflow.util.ThreadPoolBuilder - Creating thread pool 'TaskFinalizer' minSize=10; maxSize=120; workQueue=LinkedBlockingQueue[-1]; allowCoreThreadTimeout=false -Oct-21 11:55:50.365 [Task monitor] DEBUG n.processor.TaskPollingMonitor - Task completed > TaskHandler[id: 1; name: EXPORT_LOCUSBREAKER (1); status: COMPLETED; exit: 1; error: -; workDir: /group/soranzo/bruno.ariano/TileDB-sumstat/work/33/2e3a905e047dcf309151e9748b8f3f] -Oct-21 11:55:50.370 [TaskFinalizer-1] DEBUG nextflow.processor.TaskProcessor - Handling unexpected condition for - task: name=EXPORT_LOCUSBREAKER (2); work-dir=/group/soranzo/bruno.ariano/TileDB-sumstat/work/f2/e8a2b783babc51dd6ac02fb4ca3bf5 - error [nextflow.exception.ProcessFailedException]: Process `EXPORT_LOCUSBREAKER (2)` terminated with an error exit status (1) -Oct-21 11:55:50.388 [TaskFinalizer-1] ERROR nextflow.processor.TaskProcessor - Error executing process > 'EXPORT_LOCUSBREAKER (2)' - -Caused by: - Process `EXPORT_LOCUSBREAKER (2)` terminated with an error exit status (1) - - -Command executed: - - scqtl export --table-lb locusbreaker_test_table.2.csv --tiledb-path /group/soranzo/bruno.ariano/TileDB-sumstat/example_data/TileDB_test --out out --maf-lb 0.001 --type-sumstat qtl --hole-lb 250000 --locus-max-size-lb 2000000 --locusbreaker --batch-name-lb 2 - -Command exit status: - 1 - -Command output: - Starting LocusBreaker - -Command error: - Starting LocusBreaker - Traceback (most recent call last): - File "/ssu/gassu/conda_envs/scqtl/bin/scqtl", line 8, in - sys.exit(main()) - ^^^^^^ - File "/group/soranzo/bruno.ariano/TileDB-sumstat/scqtl/main.py", line 22, in main - cli_init(obj={}) - File "/ssu/gassu/conda_envs/scqtl/lib/python3.12/site-packages/click/core.py", line 1442, in __call__ - return self.main(*args, **kwargs) - ^^^^^^^^^^^^^^^^^^^^^^^^^^ - File "/ssu/gassu/conda_envs/scqtl/lib/python3.12/site-packages/click/core.py", line 1363, in main - rv = self.invoke(ctx) - ^^^^^^^^^^^^^^^^ - File "/ssu/gassu/conda_envs/scqtl/lib/python3.12/site-packages/click/core.py", line 1830, in invoke - return _process_result(sub_ctx.command.invoke(sub_ctx)) - ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^ - File "/ssu/gassu/conda_envs/scqtl/lib/python3.12/site-packages/click/core.py", line 1226, in invoke - return ctx.invoke(self.callback, **ctx.params) - ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^ - File "/ssu/gassu/conda_envs/scqtl/lib/python3.12/site-packages/click/core.py", line 794, in invoke - return callback(*args, **kwargs) - ^^^^^^^^^^^^^^^^^^^^^^^^^ - File "/ssu/gassu/conda_envs/scqtl/lib/python3.12/site-packages/click/decorators.py", line 34, in new_func - return f(get_current_context(), *args, **kwargs) - ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^ - File "/group/soranzo/bruno.ariano/TileDB-sumstat/scqtl/cli/export.py", line 163, in export - result = locus_breaker(query, - ^^^^^^^^^^^^^^^^^^^^ - File "/group/soranzo/bruno.ariano/TileDB-sumstat/scqtl/cli/export.py", line 148, in locus_breaker - return locusbreaker_plpl(tiledb_data, maf = maf, pvalue_sig=pvalue_sig, pvalue_limit=pvalue_limit, locus_max_size = locus_max_size, - ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^ - TypeError: locusbreaker_plpl() got an unexpected keyword argument 'cis_trans_lb' - -Work dir: - /group/soranzo/bruno.ariano/TileDB-sumstat/work/f2/e8a2b783babc51dd6ac02fb4ca3bf5 - -Tip: view the complete command output by changing to the process work dir and entering the command `cat .command.out` -Oct-21 11:55:50.389 [TaskFinalizer-2] DEBUG nextflow.processor.TaskProcessor - Handling unexpected condition for - task: name=EXPORT_LOCUSBREAKER (1); work-dir=/group/soranzo/bruno.ariano/TileDB-sumstat/work/33/2e3a905e047dcf309151e9748b8f3f - error [nextflow.exception.ProcessFailedException]: Process `EXPORT_LOCUSBREAKER (1)` terminated with an error exit status (1) -Oct-21 11:55:50.401 [TaskFinalizer-1] INFO nextflow.Session - Execution cancelled -- Finishing pending tasks before exit -Oct-21 11:55:50.407 [main] DEBUG nextflow.Session - Session await > all processes finished -Oct-21 11:55:50.562 [Task monitor] DEBUG n.processor.TaskPollingMonitor - Task completed > TaskHandler[id: 3; name: EXPORT_LOCUSBREAKER (3); status: COMPLETED; exit: 1; error: -; workDir: /group/soranzo/bruno.ariano/TileDB-sumstat/work/9d/2f291be5f9bd98d831c293476c268e] -Oct-21 11:55:50.563 [Task monitor] DEBUG n.processor.TaskPollingMonitor - <<< barrier arrives (monitor: local) - terminating tasks monitor poll loop -Oct-21 11:55:50.564 [main] DEBUG nextflow.Session - Session await > all barriers passed -Oct-21 11:55:50.566 [TaskFinalizer-3] DEBUG nextflow.processor.TaskProcessor - Handling unexpected condition for - task: name=EXPORT_LOCUSBREAKER (3); work-dir=/group/soranzo/bruno.ariano/TileDB-sumstat/work/9d/2f291be5f9bd98d831c293476c268e - error [nextflow.exception.ProcessFailedException]: Process `EXPORT_LOCUSBREAKER (3)` terminated with an error exit status (1) -Oct-21 11:55:50.570 [main] DEBUG nextflow.util.ThreadPoolManager - Thread pool 'TaskFinalizer' shutdown completed (hard=false) -Oct-21 11:55:50.588 [main] DEBUG n.trace.WorkflowStatsObserver - Workflow completed > WorkflowStats[succeededCount=0; failedCount=3; ignoredCount=0; cachedCount=0; pendingCount=0; submittedCount=0; runningCount=0; retriesCount=0; abortedCount=0; succeedDuration=0ms; failedDuration=6m 2s; cachedDuration=0ms;loadCpus=0; loadMemory=0; peakRunning=3; peakCpus=18; peakMemory=90 GB; ] -Oct-21 11:55:50.588 [main] DEBUG nextflow.trace.TraceFileObserver - Workflow completed -- saving trace file -Oct-21 11:55:50.591 [main] DEBUG nextflow.trace.ReportObserver - Workflow completed -- rendering execution report -Oct-21 11:55:51.074 [main] DEBUG nextflow.trace.TimelineObserver - Workflow completed -- rendering execution timeline -Oct-21 11:55:51.214 [main] DEBUG nextflow.cache.CacheDB - Closing CacheDB done -Oct-21 11:55:51.243 [main] DEBUG nextflow.util.ThreadPoolManager - Thread pool 'FileTransfer' shutdown completed (hard=false) -Oct-21 11:55:51.243 [main] DEBUG nextflow.script.ScriptRunner - > Execution complete -- Goodbye diff --git a/.nextflow.log.4 b/.nextflow.log.4 deleted file mode 100644 index 472b7d7..0000000 --- a/.nextflow.log.4 +++ /dev/null @@ -1,145 +0,0 @@ -Oct-21 11:53:25.771 [main] DEBUG nextflow.cli.Launcher - $> nextflow run main.nf -profile conda,test_export_lb -Oct-21 11:53:25.930 [main] DEBUG nextflow.cli.CmdRun - N E X T F L O W ~ version 25.04.3 -Oct-21 11:53:25.953 [main] DEBUG nextflow.plugin.PluginsFacade - Setting up plugin manager > mode=prod; embedded=false; plugins-dir=/home/bruno.ariano/.nextflow/plugins; core-plugins: nf-amazon@2.15.0,nf-azure@1.16.0,nf-cloudcache@0.4.3,nf-codecommit@0.2.3,nf-console@1.2.1,nf-google@1.21.0,nf-k8s@1.0.0,nf-tower@1.11.3,nf-wave@1.12.1 -Oct-21 11:53:25.988 [main] INFO o.pf4j.DefaultPluginStatusProvider - Enabled plugins: [] -Oct-21 11:53:25.989 [main] INFO o.pf4j.DefaultPluginStatusProvider - Disabled plugins: [] -Oct-21 11:53:25.993 [main] INFO org.pf4j.DefaultPluginManager - PF4J version 3.12.0 in 'deployment' mode -Oct-21 11:53:26.006 [main] INFO org.pf4j.AbstractPluginManager - No plugins -Oct-21 11:53:26.027 [main] DEBUG nextflow.config.ConfigBuilder - Found config local: /group/soranzo/bruno.ariano/TileDB-sumstat/nextflow.config -Oct-21 11:53:26.029 [main] DEBUG nextflow.config.ConfigBuilder - Parsing config file: /group/soranzo/bruno.ariano/TileDB-sumstat/nextflow.config -Oct-21 11:53:26.059 [main] DEBUG n.secret.LocalSecretsProvider - Secrets store: /home/bruno.ariano/.nextflow/secrets/store.json -Oct-21 11:53:26.062 [main] DEBUG nextflow.secret.SecretsLoader - Discovered secrets providers: [nextflow.secret.LocalSecretsProvider@5c41d037] - activable => nextflow.secret.LocalSecretsProvider@5c41d037 -Oct-21 11:53:26.068 [main] DEBUG nextflow.config.ConfigBuilder - Applying config profile: `conda,test_export_lb` -Oct-21 11:53:26.785 [main] DEBUG nextflow.config.ConfigBuilder - Available config profiles: [shifter, test, mamba, charliecloud, apptainer, conda, test_export_lb, singularity, wave, docker, podman] -Oct-21 11:53:26.816 [main] DEBUG nextflow.cli.CmdRun - Applied DSL=2 by global default -Oct-21 11:53:26.836 [main] DEBUG nextflow.cli.CmdRun - Launching `main.nf` [distracted_tuckerman] DSL2 - revision: 1309f0cb95 -Oct-21 11:53:26.838 [main] DEBUG nextflow.plugin.PluginsFacade - Plugins default=[] -Oct-21 11:53:26.838 [main] DEBUG nextflow.plugin.PluginsFacade - Plugins resolved requirement=[] -Oct-21 11:53:26.884 [main] DEBUG nextflow.Session - Session UUID: b7c4133e-43d3-443a-bc32-b5d59028eadc -Oct-21 11:53:26.885 [main] DEBUG nextflow.Session - Run name: distracted_tuckerman -Oct-21 11:53:26.886 [main] DEBUG nextflow.Session - Executor pool size: 40 -Oct-21 11:53:26.893 [main] DEBUG nextflow.file.FilePorter - File porter settings maxRetries=3; maxTransfers=50; pollTimeout=null -Oct-21 11:53:26.897 [main] DEBUG nextflow.util.ThreadPoolBuilder - Creating thread pool 'FileTransfer' minSize=10; maxSize=120; workQueue=LinkedBlockingQueue[-1]; allowCoreThreadTimeout=false -Oct-21 11:53:26.925 [main] DEBUG nextflow.cli.CmdRun - - Version: 25.04.3 build 5949 - Created: 02-06-2025 20:56 UTC (22:56 CEST) - System: Linux 4.18.0-477.10.1.el8_8.x86_64 - Runtime: Groovy 4.0.26 on OpenJDK 64-Bit Server VM 17.0.8.1+1 - Encoding: UTF-8 (UTF-8) - Process: 1503080@hnode02 [192.168.104.253] - CPUs: 40 - Mem: 375.9 GB (11.8 GB) - Swap: 64 GB (59.2 GB) -Oct-21 11:53:26.957 [main] DEBUG nextflow.Session - Work-dir: /group/soranzo/bruno.ariano/TileDB-sumstat/work [nfs] -Oct-21 11:53:26.958 [main] DEBUG nextflow.Session - Script base path does not exist or is not a directory: /group/soranzo/bruno.ariano/TileDB-sumstat/bin -Oct-21 11:53:26.967 [main] DEBUG nextflow.executor.ExecutorFactory - Extension executors providers=[] -Oct-21 11:53:26.976 [main] DEBUG nextflow.Session - Observer factory: DefaultObserverFactory -Oct-21 11:53:27.004 [main] DEBUG nextflow.Session - Observer factory (v2): LinObserverFactory -Oct-21 11:53:27.027 [main] DEBUG nextflow.cache.CacheFactory - Using Nextflow cache factory: nextflow.cache.DefaultCacheFactory -Oct-21 11:53:27.036 [main] DEBUG nextflow.util.CustomThreadPool - Creating default thread pool > poolSize: 41; maxThreads: 1000 -Oct-21 11:53:27.131 [main] DEBUG nextflow.Session - Session start -Oct-21 11:53:27.134 [main] DEBUG nextflow.trace.TraceFileObserver - Workflow started -- trace file: /group/soranzo/bruno.ariano/TileDB-sumstat/results/pipeline_info/execution_trace_2025-10-21_11-53-26.txt -Oct-21 11:53:27.313 [main] DEBUG nextflow.script.ScriptRunner - > Launching execution -Oct-21 11:53:27.774 [main] DEBUG nextflow.script.ProcessConfig - Config settings `withLabel:process_multi` matches labels `process_multi` for process with name EXPORT_LOCUSBREAKER -Oct-21 11:53:27.784 [main] DEBUG nextflow.executor.ExecutorFactory - << taskConfig executor: null -Oct-21 11:53:27.784 [main] DEBUG nextflow.executor.ExecutorFactory - >> processorType: 'local' -Oct-21 11:53:27.791 [main] DEBUG nextflow.executor.Executor - [warm up] executor > local -Oct-21 11:53:27.797 [main] DEBUG n.processor.LocalPollingMonitor - Creating local task monitor for executor 'local' > cpus=40; memory=375.9 GB; capacity=40; pollInterval=100ms; dumpInterval=5m -Oct-21 11:53:27.799 [main] DEBUG n.processor.TaskPollingMonitor - >>> barrier register (monitor: local) -Oct-21 11:53:27.822 [main] DEBUG nextflow.processor.TaskProcessor - Creating process 'EXPORT_LOCUSBREAKER': maxForks=0; fair=false; array=0 -Oct-21 11:53:27.854 [main] DEBUG nextflow.Session - Workflow process names [dsl2]: EXPORT_LOCUSBREAKER, MERGE_METADATA, EXPORT_REGIONS, INGEST_DATA, CREATE_TILEDB -Oct-21 11:53:27.857 [main] DEBUG nextflow.Session - Igniting dataflow network (2) -Oct-21 11:53:27.862 [main] DEBUG nextflow.processor.TaskProcessor - Starting process > EXPORT_LOCUSBREAKER -Oct-21 11:53:27.863 [main] DEBUG nextflow.script.ScriptRunner - Parsed script files: - Script_7b14281b3e71c830: /group/soranzo/bruno.ariano/TileDB-sumstat/modules/merge_metadata/main.nf - Script_f79ff21670d5e55f: /group/soranzo/bruno.ariano/TileDB-sumstat/modules/regions/main.nf - Script_25f7cc05cc930eea: /group/soranzo/bruno.ariano/TileDB-sumstat/modules/locusbreaker/main.nf - Script_fa94f925e889eb3d: /group/soranzo/bruno.ariano/TileDB-sumstat/modules/create_tiledb/main.nf - Script_9642d9956a1c233a: /group/soranzo/bruno.ariano/TileDB-sumstat/modules/ingestion/main.nf - Script_d23e1daa06b1131d: /group/soranzo/bruno.ariano/TileDB-sumstat/main.nf -Oct-21 11:53:27.864 [main] DEBUG nextflow.script.ScriptRunner - > Awaiting termination -Oct-21 11:53:27.864 [main] DEBUG nextflow.Session - Session await -Oct-21 11:53:27.877 [Actor Thread 6] DEBUG n.splitter.AbstractTextSplitter - Splitter `Text` collector path: nextflow.splitter.TextFileCollector$CachePath(/group/soranzo/bruno.ariano/TileDB-sumstat/work/b8/d54b5d3f9399b2bea396d6f938132d/locusbreaker_test_table.csv, null) -Oct-21 11:53:28.013 [Actor Thread 21] DEBUG nextflow.conda.CondaCache - conda found local env for environment=/ssu/gassu/conda_envs/scqtl; path=/ssu/gassu/conda_envs/scqtl -Oct-21 11:53:28.104 [Task submitter] DEBUG n.executor.local.LocalTaskHandler - Launch cmd line: /bin/bash -ue .command.run -Oct-21 11:53:28.106 [Task submitter] INFO nextflow.Session - [98/1f2dc2] Submitted process > EXPORT_LOCUSBREAKER (1) -Oct-21 11:53:28.126 [Task submitter] DEBUG n.executor.local.LocalTaskHandler - Launch cmd line: /bin/bash -ue .command.run -Oct-21 11:53:28.126 [Task submitter] INFO nextflow.Session - [8d/9ede77] Submitted process > EXPORT_LOCUSBREAKER (2) -Oct-21 11:53:28.141 [Task submitter] DEBUG n.executor.local.LocalTaskHandler - Launch cmd line: /bin/bash -ue .command.run -Oct-21 11:53:28.141 [Task submitter] INFO nextflow.Session - [8c/f4ce0f] Submitted process > EXPORT_LOCUSBREAKER (3) -Oct-21 11:53:48.199 [Task monitor] DEBUG n.processor.TaskPollingMonitor - Task completed > TaskHandler[id: 2; name: EXPORT_LOCUSBREAKER (2); status: COMPLETED; exit: 1; error: -; workDir: /group/soranzo/bruno.ariano/TileDB-sumstat/work/8d/9ede77611ae08b10f28ad93d3330a9] -Oct-21 11:53:48.201 [Task monitor] DEBUG nextflow.util.ThreadPoolBuilder - Creating thread pool 'TaskFinalizer' minSize=10; maxSize=120; workQueue=LinkedBlockingQueue[-1]; allowCoreThreadTimeout=false -Oct-21 11:53:48.209 [Task monitor] DEBUG n.processor.TaskPollingMonitor - Task completed > TaskHandler[id: 3; name: EXPORT_LOCUSBREAKER (3); status: COMPLETED; exit: 1; error: -; workDir: /group/soranzo/bruno.ariano/TileDB-sumstat/work/8c/f4ce0f2d02082a753ed6cb0bd76de3] -Oct-21 11:53:48.212 [TaskFinalizer-1] DEBUG nextflow.processor.TaskProcessor - Handling unexpected condition for - task: name=EXPORT_LOCUSBREAKER (2); work-dir=/group/soranzo/bruno.ariano/TileDB-sumstat/work/8d/9ede77611ae08b10f28ad93d3330a9 - error [nextflow.exception.ProcessFailedException]: Process `EXPORT_LOCUSBREAKER (2)` terminated with an error exit status (1) -Oct-21 11:53:48.231 [TaskFinalizer-1] ERROR nextflow.processor.TaskProcessor - Error executing process > 'EXPORT_LOCUSBREAKER (2)' - -Caused by: - Process `EXPORT_LOCUSBREAKER (2)` terminated with an error exit status (1) - - -Command executed: - - scqtl export --table-lb locusbreaker_test_table.2.csv --tiledb-path /group/soranzo/bruno.ariano/TileDB-sumstat/example_data/TileDB_test --out out --maf-lb 0.001 --type-sumstat qtl --hole-lb 250000 --locus-max-size-lb 2000000 --locusbreaker --batch-name-lb 2 - -Command exit status: - 1 - -Command output: - Starting LocusBreaker - -Command error: - Starting LocusBreaker - Traceback (most recent call last): - File "/ssu/gassu/conda_envs/scqtl/bin/scqtl", line 8, in - sys.exit(main()) - ^^^^^^ - File "/group/soranzo/bruno.ariano/TileDB-sumstat/scqtl/main.py", line 22, in main - cli_init(obj={}) - File "/ssu/gassu/conda_envs/scqtl/lib/python3.12/site-packages/click/core.py", line 1442, in __call__ - return self.main(*args, **kwargs) - ^^^^^^^^^^^^^^^^^^^^^^^^^^ - File "/ssu/gassu/conda_envs/scqtl/lib/python3.12/site-packages/click/core.py", line 1363, in main - rv = self.invoke(ctx) - ^^^^^^^^^^^^^^^^ - File "/ssu/gassu/conda_envs/scqtl/lib/python3.12/site-packages/click/core.py", line 1830, in invoke - return _process_result(sub_ctx.command.invoke(sub_ctx)) - ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^ - File "/ssu/gassu/conda_envs/scqtl/lib/python3.12/site-packages/click/core.py", line 1226, in invoke - return ctx.invoke(self.callback, **ctx.params) - ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^ - File "/ssu/gassu/conda_envs/scqtl/lib/python3.12/site-packages/click/core.py", line 794, in invoke - return callback(*args, **kwargs) - ^^^^^^^^^^^^^^^^^^^^^^^^^ - File "/ssu/gassu/conda_envs/scqtl/lib/python3.12/site-packages/click/decorators.py", line 34, in new_func - return f(get_current_context(), *args, **kwargs) - ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^ - File "/group/soranzo/bruno.ariano/TileDB-sumstat/scqtl/cli/export.py", line 151, in export - traits = traits.astype({'CHR': 'int16'}) - ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^ - File "/ssu/gassu/conda_envs/scqtl/lib/python3.12/site-packages/pandas/core/generic.py", line 6624, in astype - raise KeyError( - KeyError: "Only a column name can be used for the key in a dtype mappings argument. 'CHR' not found in columns." - -Work dir: - /group/soranzo/bruno.ariano/TileDB-sumstat/work/8d/9ede77611ae08b10f28ad93d3330a9 - -Tip: you can try to figure out what's wrong by changing to the process work dir and showing the script file named `.command.sh` -Oct-21 11:53:48.232 [TaskFinalizer-2] DEBUG nextflow.processor.TaskProcessor - Handling unexpected condition for - task: name=EXPORT_LOCUSBREAKER (3); work-dir=/group/soranzo/bruno.ariano/TileDB-sumstat/work/8c/f4ce0f2d02082a753ed6cb0bd76de3 - error [nextflow.exception.ProcessFailedException]: Process `EXPORT_LOCUSBREAKER (3)` terminated with an error exit status (1) -Oct-21 11:53:48.244 [TaskFinalizer-1] INFO nextflow.Session - Execution cancelled -- Finishing pending tasks before exit -Oct-21 11:53:48.250 [main] DEBUG nextflow.Session - Session await > all processes finished -Oct-21 11:53:48.422 [Task monitor] DEBUG n.processor.TaskPollingMonitor - Task completed > TaskHandler[id: 1; name: EXPORT_LOCUSBREAKER (1); status: COMPLETED; exit: 1; error: -; workDir: /group/soranzo/bruno.ariano/TileDB-sumstat/work/98/1f2dc2eede33523f82d5a646dca032] -Oct-21 11:53:48.424 [Task monitor] DEBUG n.processor.TaskPollingMonitor - <<< barrier arrives (monitor: local) - terminating tasks monitor poll loop -Oct-21 11:53:48.424 [main] DEBUG nextflow.Session - Session await > all barriers passed -Oct-21 11:53:48.426 [TaskFinalizer-3] DEBUG nextflow.processor.TaskProcessor - Handling unexpected condition for - task: name=EXPORT_LOCUSBREAKER (1); work-dir=/group/soranzo/bruno.ariano/TileDB-sumstat/work/98/1f2dc2eede33523f82d5a646dca032 - error [nextflow.exception.ProcessFailedException]: Process `EXPORT_LOCUSBREAKER (1)` terminated with an error exit status (1) -Oct-21 11:53:48.431 [main] DEBUG nextflow.util.ThreadPoolManager - Thread pool 'TaskFinalizer' shutdown completed (hard=false) -Oct-21 11:53:48.448 [main] DEBUG n.trace.WorkflowStatsObserver - Workflow completed > WorkflowStats[succeededCount=0; failedCount=3; ignoredCount=0; cachedCount=0; pendingCount=0; submittedCount=0; runningCount=0; retriesCount=0; abortedCount=0; succeedDuration=0ms; failedDuration=6m 1s; cachedDuration=0ms;loadCpus=0; loadMemory=0; peakRunning=3; peakCpus=18; peakMemory=90 GB; ] -Oct-21 11:53:48.448 [main] DEBUG nextflow.trace.TraceFileObserver - Workflow completed -- saving trace file -Oct-21 11:53:48.451 [main] DEBUG nextflow.trace.ReportObserver - Workflow completed -- rendering execution report -Oct-21 11:53:48.941 [main] DEBUG nextflow.trace.TimelineObserver - Workflow completed -- rendering execution timeline -Oct-21 11:53:49.065 [main] DEBUG nextflow.cache.CacheDB - Closing CacheDB done -Oct-21 11:53:49.095 [main] DEBUG nextflow.util.ThreadPoolManager - Thread pool 'FileTransfer' shutdown completed (hard=false) -Oct-21 11:53:49.096 [main] DEBUG nextflow.script.ScriptRunner - > Execution complete -- Goodbye diff --git a/.nextflow.log.5 b/.nextflow.log.5 deleted file mode 100644 index ac17d2e..0000000 --- a/.nextflow.log.5 +++ /dev/null @@ -1,142 +0,0 @@ -Oct-21 11:51:40.452 [main] DEBUG nextflow.cli.Launcher - $> nextflow run main.nf -profile conda,test_export_lb -Oct-21 11:51:40.600 [main] DEBUG nextflow.cli.CmdRun - N E X T F L O W ~ version 25.04.3 -Oct-21 11:51:40.622 [main] DEBUG nextflow.plugin.PluginsFacade - Setting up plugin manager > mode=prod; embedded=false; plugins-dir=/home/bruno.ariano/.nextflow/plugins; core-plugins: nf-amazon@2.15.0,nf-azure@1.16.0,nf-cloudcache@0.4.3,nf-codecommit@0.2.3,nf-console@1.2.1,nf-google@1.21.0,nf-k8s@1.0.0,nf-tower@1.11.3,nf-wave@1.12.1 -Oct-21 11:51:40.646 [main] INFO o.pf4j.DefaultPluginStatusProvider - Enabled plugins: [] -Oct-21 11:51:40.647 [main] INFO o.pf4j.DefaultPluginStatusProvider - Disabled plugins: [] -Oct-21 11:51:40.650 [main] INFO org.pf4j.DefaultPluginManager - PF4J version 3.12.0 in 'deployment' mode -Oct-21 11:51:40.661 [main] INFO org.pf4j.AbstractPluginManager - No plugins -Oct-21 11:51:40.695 [main] DEBUG nextflow.config.ConfigBuilder - Found config local: /group/soranzo/bruno.ariano/TileDB-sumstat/nextflow.config -Oct-21 11:51:40.697 [main] DEBUG nextflow.config.ConfigBuilder - Parsing config file: /group/soranzo/bruno.ariano/TileDB-sumstat/nextflow.config -Oct-21 11:51:40.726 [main] DEBUG n.secret.LocalSecretsProvider - Secrets store: /home/bruno.ariano/.nextflow/secrets/store.json -Oct-21 11:51:40.729 [main] DEBUG nextflow.secret.SecretsLoader - Discovered secrets providers: [nextflow.secret.LocalSecretsProvider@5c41d037] - activable => nextflow.secret.LocalSecretsProvider@5c41d037 -Oct-21 11:51:40.734 [main] DEBUG nextflow.config.ConfigBuilder - Applying config profile: `conda,test_export_lb` -Oct-21 11:51:41.466 [main] DEBUG nextflow.config.ConfigBuilder - Available config profiles: [shifter, test, mamba, charliecloud, apptainer, conda, test_export_lb, singularity, wave, docker, podman] -Oct-21 11:51:41.495 [main] DEBUG nextflow.cli.CmdRun - Applied DSL=2 by global default -Oct-21 11:51:41.513 [main] DEBUG nextflow.cli.CmdRun - Launching `main.nf` [deadly_pare] DSL2 - revision: 1309f0cb95 -Oct-21 11:51:41.514 [main] DEBUG nextflow.plugin.PluginsFacade - Plugins default=[] -Oct-21 11:51:41.515 [main] DEBUG nextflow.plugin.PluginsFacade - Plugins resolved requirement=[] -Oct-21 11:51:41.559 [main] DEBUG nextflow.Session - Session UUID: ad41dd6d-ea04-4e8a-9b1e-f615e486ed1e -Oct-21 11:51:41.559 [main] DEBUG nextflow.Session - Run name: deadly_pare -Oct-21 11:51:41.560 [main] DEBUG nextflow.Session - Executor pool size: 40 -Oct-21 11:51:41.567 [main] DEBUG nextflow.file.FilePorter - File porter settings maxRetries=3; maxTransfers=50; pollTimeout=null -Oct-21 11:51:41.571 [main] DEBUG nextflow.util.ThreadPoolBuilder - Creating thread pool 'FileTransfer' minSize=10; maxSize=120; workQueue=LinkedBlockingQueue[-1]; allowCoreThreadTimeout=false -Oct-21 11:51:41.597 [main] DEBUG nextflow.cli.CmdRun - - Version: 25.04.3 build 5949 - Created: 02-06-2025 20:56 UTC (22:56 CEST) - System: Linux 4.18.0-477.10.1.el8_8.x86_64 - Runtime: Groovy 4.0.26 on OpenJDK 64-Bit Server VM 17.0.8.1+1 - Encoding: UTF-8 (UTF-8) - Process: 1495188@hnode02 [192.168.104.253] - CPUs: 40 - Mem: 375.9 GB (12 GB) - Swap: 64 GB (59.2 GB) -Oct-21 11:51:41.625 [main] DEBUG nextflow.Session - Work-dir: /group/soranzo/bruno.ariano/TileDB-sumstat/work [nfs] -Oct-21 11:51:41.626 [main] DEBUG nextflow.Session - Script base path does not exist or is not a directory: /group/soranzo/bruno.ariano/TileDB-sumstat/bin -Oct-21 11:51:41.635 [main] DEBUG nextflow.executor.ExecutorFactory - Extension executors providers=[] -Oct-21 11:51:41.644 [main] DEBUG nextflow.Session - Observer factory: DefaultObserverFactory -Oct-21 11:51:41.672 [main] DEBUG nextflow.Session - Observer factory (v2): LinObserverFactory -Oct-21 11:51:41.695 [main] DEBUG nextflow.cache.CacheFactory - Using Nextflow cache factory: nextflow.cache.DefaultCacheFactory -Oct-21 11:51:41.704 [main] DEBUG nextflow.util.CustomThreadPool - Creating default thread pool > poolSize: 41; maxThreads: 1000 -Oct-21 11:51:41.794 [main] DEBUG nextflow.Session - Session start -Oct-21 11:51:41.798 [main] DEBUG nextflow.trace.TraceFileObserver - Workflow started -- trace file: /group/soranzo/bruno.ariano/TileDB-sumstat/results/pipeline_info/execution_trace_2025-10-21_11-51-41.txt -Oct-21 11:51:41.977 [main] DEBUG nextflow.script.ScriptRunner - > Launching execution -Oct-21 11:51:42.434 [main] DEBUG nextflow.script.ProcessConfig - Config settings `withLabel:process_multi` matches labels `process_multi` for process with name EXPORT_LOCUSBREAKER -Oct-21 11:51:42.444 [main] DEBUG nextflow.executor.ExecutorFactory - << taskConfig executor: null -Oct-21 11:51:42.444 [main] DEBUG nextflow.executor.ExecutorFactory - >> processorType: 'local' -Oct-21 11:51:42.450 [main] DEBUG nextflow.executor.Executor - [warm up] executor > local -Oct-21 11:51:42.456 [main] DEBUG n.processor.LocalPollingMonitor - Creating local task monitor for executor 'local' > cpus=40; memory=375.9 GB; capacity=40; pollInterval=100ms; dumpInterval=5m -Oct-21 11:51:42.458 [main] DEBUG n.processor.TaskPollingMonitor - >>> barrier register (monitor: local) -Oct-21 11:51:42.479 [main] DEBUG nextflow.processor.TaskProcessor - Creating process 'EXPORT_LOCUSBREAKER': maxForks=0; fair=false; array=0 -Oct-21 11:51:42.511 [main] DEBUG nextflow.Session - Workflow process names [dsl2]: EXPORT_LOCUSBREAKER, MERGE_METADATA, EXPORT_REGIONS, INGEST_DATA, CREATE_TILEDB -Oct-21 11:51:42.513 [main] DEBUG nextflow.Session - Igniting dataflow network (2) -Oct-21 11:51:42.519 [main] DEBUG nextflow.processor.TaskProcessor - Starting process > EXPORT_LOCUSBREAKER -Oct-21 11:51:42.520 [main] DEBUG nextflow.script.ScriptRunner - Parsed script files: - Script_7b14281b3e71c830: /group/soranzo/bruno.ariano/TileDB-sumstat/modules/merge_metadata/main.nf - Script_f79ff21670d5e55f: /group/soranzo/bruno.ariano/TileDB-sumstat/modules/regions/main.nf - Script_25f7cc05cc930eea: /group/soranzo/bruno.ariano/TileDB-sumstat/modules/locusbreaker/main.nf - Script_fa94f925e889eb3d: /group/soranzo/bruno.ariano/TileDB-sumstat/modules/create_tiledb/main.nf - Script_9642d9956a1c233a: /group/soranzo/bruno.ariano/TileDB-sumstat/modules/ingestion/main.nf - Script_d23e1daa06b1131d: /group/soranzo/bruno.ariano/TileDB-sumstat/main.nf -Oct-21 11:51:42.520 [main] DEBUG nextflow.script.ScriptRunner - > Awaiting termination -Oct-21 11:51:42.521 [main] DEBUG nextflow.Session - Session await -Oct-21 11:51:42.536 [Actor Thread 6] DEBUG n.splitter.AbstractTextSplitter - Splitter `Text` collector path: nextflow.splitter.TextFileCollector$CachePath(/group/soranzo/bruno.ariano/TileDB-sumstat/work/1a/0413e210df7f3a85ae77f0c9d8dfba/locusbreaker_test_table.csv, null) -Oct-21 11:51:42.677 [Actor Thread 20] DEBUG nextflow.conda.CondaCache - conda found local env for environment=/ssu/gassu/conda_envs/scqtl; path=/ssu/gassu/conda_envs/scqtl -Oct-21 11:51:42.761 [Task submitter] DEBUG n.executor.local.LocalTaskHandler - Launch cmd line: /bin/bash -ue .command.run -Oct-21 11:51:42.763 [Task submitter] INFO nextflow.Session - [58/d0e93a] Submitted process > EXPORT_LOCUSBREAKER (1) -Oct-21 11:51:42.780 [Task submitter] DEBUG n.executor.local.LocalTaskHandler - Launch cmd line: /bin/bash -ue .command.run -Oct-21 11:51:42.781 [Task submitter] INFO nextflow.Session - [d6/6cb8b9] Submitted process > EXPORT_LOCUSBREAKER (2) -Oct-21 11:51:42.795 [Task submitter] DEBUG n.executor.local.LocalTaskHandler - Launch cmd line: /bin/bash -ue .command.run -Oct-21 11:51:42.795 [Task submitter] INFO nextflow.Session - [c3/a23e1f] Submitted process > EXPORT_LOCUSBREAKER (3) -Oct-21 11:52:02.608 [Task monitor] DEBUG n.processor.TaskPollingMonitor - Task completed > TaskHandler[id: 1; name: EXPORT_LOCUSBREAKER (1); status: COMPLETED; exit: 1; error: -; workDir: /group/soranzo/bruno.ariano/TileDB-sumstat/work/58/d0e93a9191a5129e1fde27e133d109] -Oct-21 11:52:02.610 [Task monitor] DEBUG nextflow.util.ThreadPoolBuilder - Creating thread pool 'TaskFinalizer' minSize=10; maxSize=120; workQueue=LinkedBlockingQueue[-1]; allowCoreThreadTimeout=false -Oct-21 11:52:02.614 [Task monitor] DEBUG n.processor.TaskPollingMonitor - Task completed > TaskHandler[id: 2; name: EXPORT_LOCUSBREAKER (2); status: COMPLETED; exit: 1; error: -; workDir: /group/soranzo/bruno.ariano/TileDB-sumstat/work/d6/6cb8b92334c24270e2a190275f3b20] -Oct-21 11:52:02.621 [TaskFinalizer-2] DEBUG nextflow.processor.TaskProcessor - Handling unexpected condition for - task: name=EXPORT_LOCUSBREAKER (2); work-dir=/group/soranzo/bruno.ariano/TileDB-sumstat/work/d6/6cb8b92334c24270e2a190275f3b20 - error [nextflow.exception.ProcessFailedException]: Process `EXPORT_LOCUSBREAKER (2)` terminated with an error exit status (1) -Oct-21 11:52:02.642 [TaskFinalizer-2] ERROR nextflow.processor.TaskProcessor - Error executing process > 'EXPORT_LOCUSBREAKER (2)' - -Caused by: - Process `EXPORT_LOCUSBREAKER (2)` terminated with an error exit status (1) - - -Command executed: - - scqtl export --table-lb locusbreaker_test_table.2.csv --tiledb-path /group/soranzo/bruno.ariano/TileDB-sumstat/example_data/TileDB_test --out out --maf-lb 0.001 --type-sumstat qtl --hole-lb 250000 --locus-max-size-lb 2000000 --locusbreaker --batch-name-lb 2 - -Command exit status: - 1 - -Command output: - (empty) - -Command error: - Traceback (most recent call last): - File "/ssu/gassu/conda_envs/scqtl/bin/scqtl", line 8, in - sys.exit(main()) - ^^^^^^ - File "/group/soranzo/bruno.ariano/TileDB-sumstat/scqtl/main.py", line 22, in main - cli_init(obj={}) - File "/ssu/gassu/conda_envs/scqtl/lib/python3.12/site-packages/click/core.py", line 1442, in __call__ - return self.main(*args, **kwargs) - ^^^^^^^^^^^^^^^^^^^^^^^^^^ - File "/ssu/gassu/conda_envs/scqtl/lib/python3.12/site-packages/click/core.py", line 1363, in main - rv = self.invoke(ctx) - ^^^^^^^^^^^^^^^^ - File "/ssu/gassu/conda_envs/scqtl/lib/python3.12/site-packages/click/core.py", line 1830, in invoke - return _process_result(sub_ctx.command.invoke(sub_ctx)) - ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^ - File "/ssu/gassu/conda_envs/scqtl/lib/python3.12/site-packages/click/core.py", line 1226, in invoke - return ctx.invoke(self.callback, **ctx.params) - ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^ - File "/ssu/gassu/conda_envs/scqtl/lib/python3.12/site-packages/click/core.py", line 794, in invoke - return callback(*args, **kwargs) - ^^^^^^^^^^^^^^^^^^^^^^^^^ - File "/ssu/gassu/conda_envs/scqtl/lib/python3.12/site-packages/click/decorators.py", line 34, in new_func - return f(get_current_context(), *args, **kwargs) - ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^ - File "/group/soranzo/bruno.ariano/TileDB-sumstat/scqtl/cli/export.py", line 88, in export - if not trait: - ^^^^^ - UnboundLocalError: cannot access local variable 'trait' where it is not associated with a value - -Work dir: - /group/soranzo/bruno.ariano/TileDB-sumstat/work/d6/6cb8b92334c24270e2a190275f3b20 - -Tip: when you have fixed the problem you can continue the execution adding the option `-resume` to the run command line -Oct-21 11:52:02.644 [TaskFinalizer-1] DEBUG nextflow.processor.TaskProcessor - Handling unexpected condition for - task: name=EXPORT_LOCUSBREAKER (1); work-dir=/group/soranzo/bruno.ariano/TileDB-sumstat/work/58/d0e93a9191a5129e1fde27e133d109 - error [nextflow.exception.ProcessFailedException]: Process `EXPORT_LOCUSBREAKER (1)` terminated with an error exit status (1) -Oct-21 11:52:02.658 [TaskFinalizer-2] INFO nextflow.Session - Execution cancelled -- Finishing pending tasks before exit -Oct-21 11:52:02.664 [main] DEBUG nextflow.Session - Session await > all processes finished -Oct-21 11:52:02.764 [Task monitor] DEBUG n.processor.TaskPollingMonitor - Task completed > TaskHandler[id: 3; name: EXPORT_LOCUSBREAKER (3); status: COMPLETED; exit: 1; error: -; workDir: /group/soranzo/bruno.ariano/TileDB-sumstat/work/c3/a23e1fd10b5e2f46a3c9e9ce37e848] -Oct-21 11:52:02.764 [Task monitor] DEBUG n.processor.TaskPollingMonitor - <<< barrier arrives (monitor: local) - terminating tasks monitor poll loop -Oct-21 11:52:02.765 [main] DEBUG nextflow.Session - Session await > all barriers passed -Oct-21 11:52:02.767 [TaskFinalizer-3] DEBUG nextflow.processor.TaskProcessor - Handling unexpected condition for - task: name=EXPORT_LOCUSBREAKER (3); work-dir=/group/soranzo/bruno.ariano/TileDB-sumstat/work/c3/a23e1fd10b5e2f46a3c9e9ce37e848 - error [nextflow.exception.ProcessFailedException]: Process `EXPORT_LOCUSBREAKER (3)` terminated with an error exit status (1) -Oct-21 11:52:02.772 [main] DEBUG nextflow.util.ThreadPoolManager - Thread pool 'TaskFinalizer' shutdown completed (hard=false) -Oct-21 11:52:02.776 [main] DEBUG n.trace.WorkflowStatsObserver - Workflow completed > WorkflowStats[succeededCount=0; failedCount=3; ignoredCount=0; cachedCount=0; pendingCount=0; submittedCount=0; runningCount=0; retriesCount=0; abortedCount=0; succeedDuration=0ms; failedDuration=5m 56s; cachedDuration=0ms;loadCpus=0; loadMemory=0; peakRunning=3; peakCpus=18; peakMemory=90 GB; ] -Oct-21 11:52:02.776 [main] DEBUG nextflow.trace.TraceFileObserver - Workflow completed -- saving trace file -Oct-21 11:52:02.779 [main] DEBUG nextflow.trace.ReportObserver - Workflow completed -- rendering execution report -Oct-21 11:52:03.279 [main] DEBUG nextflow.trace.TimelineObserver - Workflow completed -- rendering execution timeline -Oct-21 11:52:03.466 [main] DEBUG nextflow.cache.CacheDB - Closing CacheDB done -Oct-21 11:52:03.494 [main] DEBUG nextflow.util.ThreadPoolManager - Thread pool 'FileTransfer' shutdown completed (hard=false) -Oct-21 11:52:03.495 [main] DEBUG nextflow.script.ScriptRunner - > Execution complete -- Goodbye diff --git a/.nextflow.log.6 b/.nextflow.log.6 deleted file mode 100644 index 28ea7e9..0000000 --- a/.nextflow.log.6 +++ /dev/null @@ -1,139 +0,0 @@ -Oct-21 11:49:56.383 [main] DEBUG nextflow.cli.Launcher - $> nextflow run main.nf -profile conda,test_export_lb -Oct-21 11:49:56.536 [main] DEBUG nextflow.cli.CmdRun - N E X T F L O W ~ version 25.04.3 -Oct-21 11:49:56.557 [main] DEBUG nextflow.plugin.PluginsFacade - Setting up plugin manager > mode=prod; embedded=false; plugins-dir=/home/bruno.ariano/.nextflow/plugins; core-plugins: nf-amazon@2.15.0,nf-azure@1.16.0,nf-cloudcache@0.4.3,nf-codecommit@0.2.3,nf-console@1.2.1,nf-google@1.21.0,nf-k8s@1.0.0,nf-tower@1.11.3,nf-wave@1.12.1 -Oct-21 11:49:56.579 [main] INFO o.pf4j.DefaultPluginStatusProvider - Enabled plugins: [] -Oct-21 11:49:56.580 [main] INFO o.pf4j.DefaultPluginStatusProvider - Disabled plugins: [] -Oct-21 11:49:56.583 [main] INFO org.pf4j.DefaultPluginManager - PF4J version 3.12.0 in 'deployment' mode -Oct-21 11:49:56.595 [main] INFO org.pf4j.AbstractPluginManager - No plugins -Oct-21 11:49:56.629 [main] DEBUG nextflow.config.ConfigBuilder - Found config local: /group/soranzo/bruno.ariano/TileDB-sumstat/nextflow.config -Oct-21 11:49:56.632 [main] DEBUG nextflow.config.ConfigBuilder - Parsing config file: /group/soranzo/bruno.ariano/TileDB-sumstat/nextflow.config -Oct-21 11:49:56.663 [main] DEBUG n.secret.LocalSecretsProvider - Secrets store: /home/bruno.ariano/.nextflow/secrets/store.json -Oct-21 11:49:56.666 [main] DEBUG nextflow.secret.SecretsLoader - Discovered secrets providers: [nextflow.secret.LocalSecretsProvider@5c41d037] - activable => nextflow.secret.LocalSecretsProvider@5c41d037 -Oct-21 11:49:56.672 [main] DEBUG nextflow.config.ConfigBuilder - Applying config profile: `conda,test_export_lb` -Oct-21 11:49:57.389 [main] DEBUG nextflow.config.ConfigBuilder - Available config profiles: [shifter, test, mamba, charliecloud, apptainer, conda, test_export_lb, singularity, wave, docker, podman] -Oct-21 11:49:57.421 [main] DEBUG nextflow.cli.CmdRun - Applied DSL=2 by global default -Oct-21 11:49:57.435 [main] DEBUG nextflow.cli.CmdRun - Launching `main.nf` [cheeky_miescher] DSL2 - revision: 1309f0cb95 -Oct-21 11:49:57.436 [main] DEBUG nextflow.plugin.PluginsFacade - Plugins default=[] -Oct-21 11:49:57.437 [main] DEBUG nextflow.plugin.PluginsFacade - Plugins resolved requirement=[] -Oct-21 11:49:57.481 [main] DEBUG nextflow.Session - Session UUID: 555f2666-ef80-406e-802e-206724685193 -Oct-21 11:49:57.481 [main] DEBUG nextflow.Session - Run name: cheeky_miescher -Oct-21 11:49:57.482 [main] DEBUG nextflow.Session - Executor pool size: 40 -Oct-21 11:49:57.489 [main] DEBUG nextflow.file.FilePorter - File porter settings maxRetries=3; maxTransfers=50; pollTimeout=null -Oct-21 11:49:57.494 [main] DEBUG nextflow.util.ThreadPoolBuilder - Creating thread pool 'FileTransfer' minSize=10; maxSize=120; workQueue=LinkedBlockingQueue[-1]; allowCoreThreadTimeout=false -Oct-21 11:49:57.520 [main] DEBUG nextflow.cli.CmdRun - - Version: 25.04.3 build 5949 - Created: 02-06-2025 20:56 UTC (22:56 CEST) - System: Linux 4.18.0-477.10.1.el8_8.x86_64 - Runtime: Groovy 4.0.26 on OpenJDK 64-Bit Server VM 17.0.8.1+1 - Encoding: UTF-8 (UTF-8) - Process: 1487463@hnode02 [192.168.104.253] - CPUs: 40 - Mem: 375.9 GB (12.5 GB) - Swap: 64 GB (59.2 GB) -Oct-21 11:49:57.551 [main] DEBUG nextflow.Session - Work-dir: /group/soranzo/bruno.ariano/TileDB-sumstat/work [nfs] -Oct-21 11:49:57.552 [main] DEBUG nextflow.Session - Script base path does not exist or is not a directory: /group/soranzo/bruno.ariano/TileDB-sumstat/bin -Oct-21 11:49:57.561 [main] DEBUG nextflow.executor.ExecutorFactory - Extension executors providers=[] -Oct-21 11:49:57.569 [main] DEBUG nextflow.Session - Observer factory: DefaultObserverFactory -Oct-21 11:49:57.597 [main] DEBUG nextflow.Session - Observer factory (v2): LinObserverFactory -Oct-21 11:49:57.620 [main] DEBUG nextflow.cache.CacheFactory - Using Nextflow cache factory: nextflow.cache.DefaultCacheFactory -Oct-21 11:49:57.628 [main] DEBUG nextflow.util.CustomThreadPool - Creating default thread pool > poolSize: 41; maxThreads: 1000 -Oct-21 11:49:57.716 [main] DEBUG nextflow.Session - Session start -Oct-21 11:49:57.720 [main] DEBUG nextflow.trace.TraceFileObserver - Workflow started -- trace file: /group/soranzo/bruno.ariano/TileDB-sumstat/results/pipeline_info/execution_trace_2025-10-21_11-49-57.txt -Oct-21 11:49:57.897 [main] DEBUG nextflow.script.ScriptRunner - > Launching execution -Oct-21 11:49:58.350 [main] DEBUG nextflow.script.ProcessConfig - Config settings `withLabel:process_multi` matches labels `process_multi` for process with name EXPORT_LOCUSBREAKER -Oct-21 11:49:58.360 [main] DEBUG nextflow.executor.ExecutorFactory - << taskConfig executor: null -Oct-21 11:49:58.360 [main] DEBUG nextflow.executor.ExecutorFactory - >> processorType: 'local' -Oct-21 11:49:58.367 [main] DEBUG nextflow.executor.Executor - [warm up] executor > local -Oct-21 11:49:58.373 [main] DEBUG n.processor.LocalPollingMonitor - Creating local task monitor for executor 'local' > cpus=40; memory=375.9 GB; capacity=40; pollInterval=100ms; dumpInterval=5m -Oct-21 11:49:58.375 [main] DEBUG n.processor.TaskPollingMonitor - >>> barrier register (monitor: local) -Oct-21 11:49:58.397 [main] DEBUG nextflow.processor.TaskProcessor - Creating process 'EXPORT_LOCUSBREAKER': maxForks=0; fair=false; array=0 -Oct-21 11:49:58.429 [main] DEBUG nextflow.Session - Workflow process names [dsl2]: EXPORT_LOCUSBREAKER, MERGE_METADATA, EXPORT_REGIONS, INGEST_DATA, CREATE_TILEDB -Oct-21 11:49:58.431 [main] DEBUG nextflow.Session - Igniting dataflow network (2) -Oct-21 11:49:58.436 [main] DEBUG nextflow.processor.TaskProcessor - Starting process > EXPORT_LOCUSBREAKER -Oct-21 11:49:58.437 [main] DEBUG nextflow.script.ScriptRunner - Parsed script files: - Script_7b14281b3e71c830: /group/soranzo/bruno.ariano/TileDB-sumstat/modules/merge_metadata/main.nf - Script_f79ff21670d5e55f: /group/soranzo/bruno.ariano/TileDB-sumstat/modules/regions/main.nf - Script_25f7cc05cc930eea: /group/soranzo/bruno.ariano/TileDB-sumstat/modules/locusbreaker/main.nf - Script_fa94f925e889eb3d: /group/soranzo/bruno.ariano/TileDB-sumstat/modules/create_tiledb/main.nf - Script_9642d9956a1c233a: /group/soranzo/bruno.ariano/TileDB-sumstat/modules/ingestion/main.nf - Script_d23e1daa06b1131d: /group/soranzo/bruno.ariano/TileDB-sumstat/main.nf -Oct-21 11:49:58.437 [main] DEBUG nextflow.script.ScriptRunner - > Awaiting termination -Oct-21 11:49:58.438 [main] DEBUG nextflow.Session - Session await -Oct-21 11:49:58.452 [Actor Thread 6] DEBUG n.splitter.AbstractTextSplitter - Splitter `Text` collector path: nextflow.splitter.TextFileCollector$CachePath(/group/soranzo/bruno.ariano/TileDB-sumstat/work/6d/bf9c53f1f39f883d0c65894925d735/locusbreaker_test_table.csv, null) -Oct-21 11:49:58.582 [Actor Thread 21] DEBUG nextflow.conda.CondaCache - conda found local env for environment=/ssu/gassu/conda_envs/scqtl; path=/ssu/gassu/conda_envs/scqtl -Oct-21 11:49:58.664 [Task submitter] DEBUG n.executor.local.LocalTaskHandler - Launch cmd line: /bin/bash -ue .command.run -Oct-21 11:49:58.666 [Task submitter] INFO nextflow.Session - [78/1fb5d3] Submitted process > EXPORT_LOCUSBREAKER (2) -Oct-21 11:49:58.684 [Task submitter] DEBUG n.executor.local.LocalTaskHandler - Launch cmd line: /bin/bash -ue .command.run -Oct-21 11:49:58.685 [Task submitter] INFO nextflow.Session - [9f/300257] Submitted process > EXPORT_LOCUSBREAKER (3) -Oct-21 11:49:58.699 [Task submitter] DEBUG n.executor.local.LocalTaskHandler - Launch cmd line: /bin/bash -ue .command.run -Oct-21 11:49:58.700 [Task submitter] INFO nextflow.Session - [61/482042] Submitted process > EXPORT_LOCUSBREAKER (1) -Oct-21 11:50:16.552 [Task monitor] DEBUG n.processor.TaskPollingMonitor - Task completed > TaskHandler[id: 2; name: EXPORT_LOCUSBREAKER (2); status: COMPLETED; exit: 1; error: -; workDir: /group/soranzo/bruno.ariano/TileDB-sumstat/work/78/1fb5d3c49b69212dd4472992a560f1] -Oct-21 11:50:16.556 [Task monitor] DEBUG nextflow.util.ThreadPoolBuilder - Creating thread pool 'TaskFinalizer' minSize=10; maxSize=120; workQueue=LinkedBlockingQueue[-1]; allowCoreThreadTimeout=false -Oct-21 11:50:16.566 [TaskFinalizer-1] DEBUG nextflow.processor.TaskProcessor - Handling unexpected condition for - task: name=EXPORT_LOCUSBREAKER (2); work-dir=/group/soranzo/bruno.ariano/TileDB-sumstat/work/78/1fb5d3c49b69212dd4472992a560f1 - error [nextflow.exception.ProcessFailedException]: Process `EXPORT_LOCUSBREAKER (2)` terminated with an error exit status (1) -Oct-21 11:50:16.580 [Task monitor] DEBUG n.processor.TaskPollingMonitor - Task completed > TaskHandler[id: 1; name: EXPORT_LOCUSBREAKER (1); status: COMPLETED; exit: 1; error: -; workDir: /group/soranzo/bruno.ariano/TileDB-sumstat/work/61/48204214659220d24c8aebbb81e950] -Oct-21 11:50:16.587 [TaskFinalizer-1] ERROR nextflow.processor.TaskProcessor - Error executing process > 'EXPORT_LOCUSBREAKER (2)' - -Caused by: - Process `EXPORT_LOCUSBREAKER (2)` terminated with an error exit status (1) - - -Command executed: - - scqtl export --table-lb locusbreaker_test_table.2.csv --tiledb-path /group/soranzo/bruno.ariano/TileDB-sumstat/example_data/TileDB_test --out out --maf-lb 0.001 --type-sumstat qtl --hole-lb 250000 --locus-max-size-lb 2000000 --locusbreaker --batch-name-lb 2 - -Command exit status: - 1 - -Command output: - (empty) - -Command error: - Traceback (most recent call last): - File "/ssu/gassu/conda_envs/scqtl/bin/scqtl", line 8, in - sys.exit(main()) - ^^^^^^ - File "/group/soranzo/bruno.ariano/TileDB-sumstat/scqtl/main.py", line 22, in main - cli_init(obj={}) - File "/ssu/gassu/conda_envs/scqtl/lib/python3.12/site-packages/click/core.py", line 1442, in __call__ - return self.main(*args, **kwargs) - ^^^^^^^^^^^^^^^^^^^^^^^^^^ - File "/ssu/gassu/conda_envs/scqtl/lib/python3.12/site-packages/click/core.py", line 1363, in main - rv = self.invoke(ctx) - ^^^^^^^^^^^^^^^^ - File "/ssu/gassu/conda_envs/scqtl/lib/python3.12/site-packages/click/core.py", line 1830, in invoke - return _process_result(sub_ctx.command.invoke(sub_ctx)) - ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^ - File "/ssu/gassu/conda_envs/scqtl/lib/python3.12/site-packages/click/core.py", line 1226, in invoke - return ctx.invoke(self.callback, **ctx.params) - ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^ - File "/ssu/gassu/conda_envs/scqtl/lib/python3.12/site-packages/click/core.py", line 794, in invoke - return callback(*args, **kwargs) - ^^^^^^^^^^^^^^^^^^^^^^^^^ - File "/ssu/gassu/conda_envs/scqtl/lib/python3.12/site-packages/click/decorators.py", line 34, in new_func - return f(get_current_context(), *args, **kwargs) - ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^ - TypeError: export() missing 1 required positional argument: 'trait' - -Work dir: - /group/soranzo/bruno.ariano/TileDB-sumstat/work/78/1fb5d3c49b69212dd4472992a560f1 - -Tip: view the complete command output by changing to the process work dir and entering the command `cat .command.out` -Oct-21 11:50:16.588 [TaskFinalizer-2] DEBUG nextflow.processor.TaskProcessor - Handling unexpected condition for - task: name=EXPORT_LOCUSBREAKER (1); work-dir=/group/soranzo/bruno.ariano/TileDB-sumstat/work/61/48204214659220d24c8aebbb81e950 - error [nextflow.exception.ProcessFailedException]: Process `EXPORT_LOCUSBREAKER (1)` terminated with an error exit status (1) -Oct-21 11:50:16.601 [TaskFinalizer-1] INFO nextflow.Session - Execution cancelled -- Finishing pending tasks before exit -Oct-21 11:50:16.607 [main] DEBUG nextflow.Session - Session await > all processes finished -Oct-21 11:50:16.797 [Task monitor] DEBUG n.processor.TaskPollingMonitor - Task completed > TaskHandler[id: 3; name: EXPORT_LOCUSBREAKER (3); status: COMPLETED; exit: 1; error: -; workDir: /group/soranzo/bruno.ariano/TileDB-sumstat/work/9f/300257047dc0af879b9c8d09fa5cd9] -Oct-21 11:50:16.798 [Task monitor] DEBUG n.processor.TaskPollingMonitor - <<< barrier arrives (monitor: local) - terminating tasks monitor poll loop -Oct-21 11:50:16.799 [main] DEBUG nextflow.Session - Session await > all barriers passed -Oct-21 11:50:16.801 [TaskFinalizer-3] DEBUG nextflow.processor.TaskProcessor - Handling unexpected condition for - task: name=EXPORT_LOCUSBREAKER (3); work-dir=/group/soranzo/bruno.ariano/TileDB-sumstat/work/9f/300257047dc0af879b9c8d09fa5cd9 - error [nextflow.exception.ProcessFailedException]: Process `EXPORT_LOCUSBREAKER (3)` terminated with an error exit status (1) -Oct-21 11:50:16.805 [main] DEBUG nextflow.util.ThreadPoolManager - Thread pool 'TaskFinalizer' shutdown completed (hard=false) -Oct-21 11:50:16.810 [main] DEBUG n.trace.WorkflowStatsObserver - Workflow completed > WorkflowStats[succeededCount=0; failedCount=3; ignoredCount=0; cachedCount=0; pendingCount=0; submittedCount=0; runningCount=0; retriesCount=0; abortedCount=0; succeedDuration=0ms; failedDuration=5m 22s; cachedDuration=0ms;loadCpus=0; loadMemory=0; peakRunning=3; peakCpus=18; peakMemory=90 GB; ] -Oct-21 11:50:16.810 [main] DEBUG nextflow.trace.TraceFileObserver - Workflow completed -- saving trace file -Oct-21 11:50:16.813 [main] DEBUG nextflow.trace.ReportObserver - Workflow completed -- rendering execution report -Oct-21 11:50:17.296 [main] DEBUG nextflow.trace.TimelineObserver - Workflow completed -- rendering execution timeline -Oct-21 11:50:17.411 [main] DEBUG nextflow.cache.CacheDB - Closing CacheDB done -Oct-21 11:50:17.439 [main] DEBUG nextflow.util.ThreadPoolManager - Thread pool 'FileTransfer' shutdown completed (hard=false) -Oct-21 11:50:17.440 [main] DEBUG nextflow.script.ScriptRunner - > Execution complete -- Goodbye diff --git a/.nextflow.log.7 b/.nextflow.log.7 deleted file mode 100644 index d2b38ce..0000000 --- a/.nextflow.log.7 +++ /dev/null @@ -1,139 +0,0 @@ -Oct-21 11:47:42.767 [main] DEBUG nextflow.cli.Launcher - $> nextflow run main.nf -profile conda,test_export_lb -Oct-21 11:47:42.917 [main] DEBUG nextflow.cli.CmdRun - N E X T F L O W ~ version 25.04.3 -Oct-21 11:47:42.939 [main] DEBUG nextflow.plugin.PluginsFacade - Setting up plugin manager > mode=prod; embedded=false; plugins-dir=/home/bruno.ariano/.nextflow/plugins; core-plugins: nf-amazon@2.15.0,nf-azure@1.16.0,nf-cloudcache@0.4.3,nf-codecommit@0.2.3,nf-console@1.2.1,nf-google@1.21.0,nf-k8s@1.0.0,nf-tower@1.11.3,nf-wave@1.12.1 -Oct-21 11:47:42.961 [main] INFO o.pf4j.DefaultPluginStatusProvider - Enabled plugins: [] -Oct-21 11:47:42.962 [main] INFO o.pf4j.DefaultPluginStatusProvider - Disabled plugins: [] -Oct-21 11:47:42.965 [main] INFO org.pf4j.DefaultPluginManager - PF4J version 3.12.0 in 'deployment' mode -Oct-21 11:47:42.976 [main] INFO org.pf4j.AbstractPluginManager - No plugins -Oct-21 11:47:43.010 [main] DEBUG nextflow.config.ConfigBuilder - Found config local: /group/soranzo/bruno.ariano/TileDB-sumstat/nextflow.config -Oct-21 11:47:43.013 [main] DEBUG nextflow.config.ConfigBuilder - Parsing config file: /group/soranzo/bruno.ariano/TileDB-sumstat/nextflow.config -Oct-21 11:47:43.044 [main] DEBUG n.secret.LocalSecretsProvider - Secrets store: /home/bruno.ariano/.nextflow/secrets/store.json -Oct-21 11:47:43.047 [main] DEBUG nextflow.secret.SecretsLoader - Discovered secrets providers: [nextflow.secret.LocalSecretsProvider@5c41d037] - activable => nextflow.secret.LocalSecretsProvider@5c41d037 -Oct-21 11:47:43.052 [main] DEBUG nextflow.config.ConfigBuilder - Applying config profile: `conda,test_export_lb` -Oct-21 11:47:43.780 [main] DEBUG nextflow.config.ConfigBuilder - Available config profiles: [shifter, test, mamba, charliecloud, apptainer, conda, test_export_lb, singularity, wave, docker, podman] -Oct-21 11:47:43.811 [main] DEBUG nextflow.cli.CmdRun - Applied DSL=2 by global default -Oct-21 11:47:43.826 [main] DEBUG nextflow.cli.CmdRun - Launching `main.nf` [ecstatic_wozniak] DSL2 - revision: 1309f0cb95 -Oct-21 11:47:43.828 [main] DEBUG nextflow.plugin.PluginsFacade - Plugins default=[] -Oct-21 11:47:43.828 [main] DEBUG nextflow.plugin.PluginsFacade - Plugins resolved requirement=[] -Oct-21 11:47:43.873 [main] DEBUG nextflow.Session - Session UUID: cba45791-b79e-41ab-a056-7436c22c8460 -Oct-21 11:47:43.873 [main] DEBUG nextflow.Session - Run name: ecstatic_wozniak -Oct-21 11:47:43.874 [main] DEBUG nextflow.Session - Executor pool size: 40 -Oct-21 11:47:43.881 [main] DEBUG nextflow.file.FilePorter - File porter settings maxRetries=3; maxTransfers=50; pollTimeout=null -Oct-21 11:47:43.886 [main] DEBUG nextflow.util.ThreadPoolBuilder - Creating thread pool 'FileTransfer' minSize=10; maxSize=120; workQueue=LinkedBlockingQueue[-1]; allowCoreThreadTimeout=false -Oct-21 11:47:43.911 [main] DEBUG nextflow.cli.CmdRun - - Version: 25.04.3 build 5949 - Created: 02-06-2025 20:56 UTC (22:56 CEST) - System: Linux 4.18.0-477.10.1.el8_8.x86_64 - Runtime: Groovy 4.0.26 on OpenJDK 64-Bit Server VM 17.0.8.1+1 - Encoding: UTF-8 (UTF-8) - Process: 1477586@hnode02 [192.168.104.253] - CPUs: 40 - Mem: 375.9 GB (12.6 GB) - Swap: 64 GB (59.2 GB) -Oct-21 11:47:43.942 [main] DEBUG nextflow.Session - Work-dir: /group/soranzo/bruno.ariano/TileDB-sumstat/work [nfs] -Oct-21 11:47:43.943 [main] DEBUG nextflow.Session - Script base path does not exist or is not a directory: /group/soranzo/bruno.ariano/TileDB-sumstat/bin -Oct-21 11:47:43.952 [main] DEBUG nextflow.executor.ExecutorFactory - Extension executors providers=[] -Oct-21 11:47:43.961 [main] DEBUG nextflow.Session - Observer factory: DefaultObserverFactory -Oct-21 11:47:43.991 [main] DEBUG nextflow.Session - Observer factory (v2): LinObserverFactory -Oct-21 11:47:44.016 [main] DEBUG nextflow.cache.CacheFactory - Using Nextflow cache factory: nextflow.cache.DefaultCacheFactory -Oct-21 11:47:44.024 [main] DEBUG nextflow.util.CustomThreadPool - Creating default thread pool > poolSize: 41; maxThreads: 1000 -Oct-21 11:47:44.154 [main] DEBUG nextflow.Session - Session start -Oct-21 11:47:44.158 [main] DEBUG nextflow.trace.TraceFileObserver - Workflow started -- trace file: /group/soranzo/bruno.ariano/TileDB-sumstat/results/pipeline_info/execution_trace_2025-10-21_11-47-43.txt -Oct-21 11:47:44.335 [main] DEBUG nextflow.script.ScriptRunner - > Launching execution -Oct-21 11:47:44.777 [main] DEBUG nextflow.script.ProcessConfig - Config settings `withLabel:process_multi` matches labels `process_multi` for process with name EXPORT_LOCUSBREAKER -Oct-21 11:47:44.786 [main] DEBUG nextflow.executor.ExecutorFactory - << taskConfig executor: null -Oct-21 11:47:44.786 [main] DEBUG nextflow.executor.ExecutorFactory - >> processorType: 'local' -Oct-21 11:47:44.792 [main] DEBUG nextflow.executor.Executor - [warm up] executor > local -Oct-21 11:47:44.798 [main] DEBUG n.processor.LocalPollingMonitor - Creating local task monitor for executor 'local' > cpus=40; memory=375.9 GB; capacity=40; pollInterval=100ms; dumpInterval=5m -Oct-21 11:47:44.800 [main] DEBUG n.processor.TaskPollingMonitor - >>> barrier register (monitor: local) -Oct-21 11:47:44.820 [main] DEBUG nextflow.processor.TaskProcessor - Creating process 'EXPORT_LOCUSBREAKER': maxForks=0; fair=false; array=0 -Oct-21 11:47:44.849 [main] DEBUG nextflow.Session - Workflow process names [dsl2]: EXPORT_LOCUSBREAKER, MERGE_METADATA, EXPORT_REGIONS, INGEST_DATA, CREATE_TILEDB -Oct-21 11:47:44.851 [main] DEBUG nextflow.Session - Igniting dataflow network (2) -Oct-21 11:47:44.856 [main] DEBUG nextflow.processor.TaskProcessor - Starting process > EXPORT_LOCUSBREAKER -Oct-21 11:47:44.857 [main] DEBUG nextflow.script.ScriptRunner - Parsed script files: - Script_7b14281b3e71c830: /group/soranzo/bruno.ariano/TileDB-sumstat/modules/merge_metadata/main.nf - Script_f79ff21670d5e55f: /group/soranzo/bruno.ariano/TileDB-sumstat/modules/regions/main.nf - Script_25f7cc05cc930eea: /group/soranzo/bruno.ariano/TileDB-sumstat/modules/locusbreaker/main.nf - Script_fa94f925e889eb3d: /group/soranzo/bruno.ariano/TileDB-sumstat/modules/create_tiledb/main.nf - Script_9642d9956a1c233a: /group/soranzo/bruno.ariano/TileDB-sumstat/modules/ingestion/main.nf - Script_d23e1daa06b1131d: /group/soranzo/bruno.ariano/TileDB-sumstat/main.nf -Oct-21 11:47:44.858 [main] DEBUG nextflow.script.ScriptRunner - > Awaiting termination -Oct-21 11:47:44.858 [main] DEBUG nextflow.Session - Session await -Oct-21 11:47:44.873 [Actor Thread 6] DEBUG n.splitter.AbstractTextSplitter - Splitter `Text` collector path: nextflow.splitter.TextFileCollector$CachePath(/group/soranzo/bruno.ariano/TileDB-sumstat/work/c0/aac28042c69a4e12d3bf2cd68b06e7/locusbreaker_test_table.csv, null) -Oct-21 11:47:45.007 [Actor Thread 21] DEBUG nextflow.conda.CondaCache - conda found local env for environment=/ssu/gassu/conda_envs/scqtl; path=/ssu/gassu/conda_envs/scqtl -Oct-21 11:47:45.094 [Task submitter] DEBUG n.executor.local.LocalTaskHandler - Launch cmd line: /bin/bash -ue .command.run -Oct-21 11:47:45.096 [Task submitter] INFO nextflow.Session - [de/df96b5] Submitted process > EXPORT_LOCUSBREAKER (1) -Oct-21 11:47:45.116 [Task submitter] DEBUG n.executor.local.LocalTaskHandler - Launch cmd line: /bin/bash -ue .command.run -Oct-21 11:47:45.116 [Task submitter] INFO nextflow.Session - [4c/ae50eb] Submitted process > EXPORT_LOCUSBREAKER (3) -Oct-21 11:47:45.132 [Task submitter] DEBUG n.executor.local.LocalTaskHandler - Launch cmd line: /bin/bash -ue .command.run -Oct-21 11:47:45.133 [Task submitter] INFO nextflow.Session - [37/2e2e38] Submitted process > EXPORT_LOCUSBREAKER (2) -Oct-21 11:48:03.448 [Task monitor] DEBUG n.processor.TaskPollingMonitor - Task completed > TaskHandler[id: 1; name: EXPORT_LOCUSBREAKER (1); status: COMPLETED; exit: 1; error: -; workDir: /group/soranzo/bruno.ariano/TileDB-sumstat/work/de/df96b576f53ae7e7dd2dae7f313d5f] -Oct-21 11:48:03.449 [Task monitor] DEBUG nextflow.util.ThreadPoolBuilder - Creating thread pool 'TaskFinalizer' minSize=10; maxSize=120; workQueue=LinkedBlockingQueue[-1]; allowCoreThreadTimeout=false -Oct-21 11:48:03.459 [TaskFinalizer-1] DEBUG nextflow.processor.TaskProcessor - Handling unexpected condition for - task: name=EXPORT_LOCUSBREAKER (1); work-dir=/group/soranzo/bruno.ariano/TileDB-sumstat/work/de/df96b576f53ae7e7dd2dae7f313d5f - error [nextflow.exception.ProcessFailedException]: Process `EXPORT_LOCUSBREAKER (1)` terminated with an error exit status (1) -Oct-21 11:48:03.479 [TaskFinalizer-1] ERROR nextflow.processor.TaskProcessor - Error executing process > 'EXPORT_LOCUSBREAKER (1)' - -Caused by: - Process `EXPORT_LOCUSBREAKER (1)` terminated with an error exit status (1) - - -Command executed: - - scqtl export --table-lb locusbreaker_test_table.1.csv --tiledb-path /group/soranzo/bruno.ariano/TileDB-sumstat/example_data/TileDB_test --out out --maf-lb 0.001 --type-sumstat qtl --hole-lb 250000 --locus-max-size-lb 2000000 --locusbreaker --batch-name-lb 1 - -Command exit status: - 1 - -Command output: - (empty) - -Command error: - Traceback (most recent call last): - File "/ssu/gassu/conda_envs/scqtl/bin/scqtl", line 8, in - sys.exit(main()) - ^^^^^^ - File "/group/soranzo/bruno.ariano/TileDB-sumstat/scqtl/main.py", line 22, in main - cli_init(obj={}) - File "/ssu/gassu/conda_envs/scqtl/lib/python3.12/site-packages/click/core.py", line 1442, in __call__ - return self.main(*args, **kwargs) - ^^^^^^^^^^^^^^^^^^^^^^^^^^ - File "/ssu/gassu/conda_envs/scqtl/lib/python3.12/site-packages/click/core.py", line 1363, in main - rv = self.invoke(ctx) - ^^^^^^^^^^^^^^^^ - File "/ssu/gassu/conda_envs/scqtl/lib/python3.12/site-packages/click/core.py", line 1830, in invoke - return _process_result(sub_ctx.command.invoke(sub_ctx)) - ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^ - File "/ssu/gassu/conda_envs/scqtl/lib/python3.12/site-packages/click/core.py", line 1226, in invoke - return ctx.invoke(self.callback, **ctx.params) - ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^ - File "/ssu/gassu/conda_envs/scqtl/lib/python3.12/site-packages/click/core.py", line 794, in invoke - return callback(*args, **kwargs) - ^^^^^^^^^^^^^^^^^^^^^^^^^ - File "/ssu/gassu/conda_envs/scqtl/lib/python3.12/site-packages/click/decorators.py", line 34, in new_func - return f(get_current_context(), *args, **kwargs) - ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^ - TypeError: export() missing 1 required positional argument: 'trait' - -Work dir: - /group/soranzo/bruno.ariano/TileDB-sumstat/work/de/df96b576f53ae7e7dd2dae7f313d5f - -Tip: you can try to figure out what's wrong by changing to the process work dir and showing the script file named `.command.sh` -Oct-21 11:48:03.493 [TaskFinalizer-1] INFO nextflow.Session - Execution cancelled -- Finishing pending tasks before exit -Oct-21 11:48:03.499 [main] DEBUG nextflow.Session - Session await > all processes finished -Oct-21 11:48:03.513 [Task monitor] DEBUG n.processor.TaskPollingMonitor - Task completed > TaskHandler[id: 2; name: EXPORT_LOCUSBREAKER (2); status: COMPLETED; exit: 1; error: -; workDir: /group/soranzo/bruno.ariano/TileDB-sumstat/work/37/2e2e382fedb0297c038269848a02b9] -Oct-21 11:48:03.517 [TaskFinalizer-2] DEBUG nextflow.processor.TaskProcessor - Handling unexpected condition for - task: name=EXPORT_LOCUSBREAKER (2); work-dir=/group/soranzo/bruno.ariano/TileDB-sumstat/work/37/2e2e382fedb0297c038269848a02b9 - error [nextflow.exception.ProcessFailedException]: Process `EXPORT_LOCUSBREAKER (2)` terminated with an error exit status (1) -Oct-21 11:48:03.726 [Task monitor] DEBUG n.processor.TaskPollingMonitor - Task completed > TaskHandler[id: 3; name: EXPORT_LOCUSBREAKER (3); status: COMPLETED; exit: 1; error: -; workDir: /group/soranzo/bruno.ariano/TileDB-sumstat/work/4c/ae50eb7bd1d9a25fa49b2f0d8fdc70] -Oct-21 11:48:03.727 [Task monitor] DEBUG n.processor.TaskPollingMonitor - <<< barrier arrives (monitor: local) - terminating tasks monitor poll loop -Oct-21 11:48:03.728 [main] DEBUG nextflow.Session - Session await > all barriers passed -Oct-21 11:48:03.729 [TaskFinalizer-3] DEBUG nextflow.processor.TaskProcessor - Handling unexpected condition for - task: name=EXPORT_LOCUSBREAKER (3); work-dir=/group/soranzo/bruno.ariano/TileDB-sumstat/work/4c/ae50eb7bd1d9a25fa49b2f0d8fdc70 - error [nextflow.exception.ProcessFailedException]: Process `EXPORT_LOCUSBREAKER (3)` terminated with an error exit status (1) -Oct-21 11:48:03.734 [main] DEBUG nextflow.util.ThreadPoolManager - Thread pool 'TaskFinalizer' shutdown completed (hard=false) -Oct-21 11:48:03.738 [main] DEBUG n.trace.WorkflowStatsObserver - Workflow completed > WorkflowStats[succeededCount=0; failedCount=3; ignoredCount=0; cachedCount=0; pendingCount=0; submittedCount=0; runningCount=0; retriesCount=0; abortedCount=0; succeedDuration=0ms; failedDuration=5m 31s; cachedDuration=0ms;loadCpus=0; loadMemory=0; peakRunning=3; peakCpus=18; peakMemory=90 GB; ] -Oct-21 11:48:03.738 [main] DEBUG nextflow.trace.TraceFileObserver - Workflow completed -- saving trace file -Oct-21 11:48:03.740 [main] DEBUG nextflow.trace.ReportObserver - Workflow completed -- rendering execution report -Oct-21 11:48:04.231 [main] DEBUG nextflow.trace.TimelineObserver - Workflow completed -- rendering execution timeline -Oct-21 11:48:04.512 [main] DEBUG nextflow.cache.CacheDB - Closing CacheDB done -Oct-21 11:48:04.539 [main] DEBUG nextflow.util.ThreadPoolManager - Thread pool 'FileTransfer' shutdown completed (hard=false) -Oct-21 11:48:04.540 [main] DEBUG nextflow.script.ScriptRunner - > Execution complete -- Goodbye diff --git a/.nextflow.log.8 b/.nextflow.log.8 deleted file mode 100644 index 35c8460..0000000 --- a/.nextflow.log.8 +++ /dev/null @@ -1,118 +0,0 @@ -Oct-21 11:47:00.476 [main] DEBUG nextflow.cli.Launcher - $> nextflow run main.nf -profile conda,test_export_lb -Oct-21 11:47:00.625 [main] DEBUG nextflow.cli.CmdRun - N E X T F L O W ~ version 25.04.3 -Oct-21 11:47:00.646 [main] DEBUG nextflow.plugin.PluginsFacade - Setting up plugin manager > mode=prod; embedded=false; plugins-dir=/home/bruno.ariano/.nextflow/plugins; core-plugins: nf-amazon@2.15.0,nf-azure@1.16.0,nf-cloudcache@0.4.3,nf-codecommit@0.2.3,nf-console@1.2.1,nf-google@1.21.0,nf-k8s@1.0.0,nf-tower@1.11.3,nf-wave@1.12.1 -Oct-21 11:47:00.668 [main] INFO o.pf4j.DefaultPluginStatusProvider - Enabled plugins: [] -Oct-21 11:47:00.669 [main] INFO o.pf4j.DefaultPluginStatusProvider - Disabled plugins: [] -Oct-21 11:47:00.672 [main] INFO org.pf4j.DefaultPluginManager - PF4J version 3.12.0 in 'deployment' mode -Oct-21 11:47:00.684 [main] INFO org.pf4j.AbstractPluginManager - No plugins -Oct-21 11:47:00.705 [main] DEBUG nextflow.config.ConfigBuilder - Found config local: /group/soranzo/bruno.ariano/TileDB-sumstat/nextflow.config -Oct-21 11:47:00.708 [main] DEBUG nextflow.config.ConfigBuilder - Parsing config file: /group/soranzo/bruno.ariano/TileDB-sumstat/nextflow.config -Oct-21 11:47:00.753 [main] DEBUG n.secret.LocalSecretsProvider - Secrets store: /home/bruno.ariano/.nextflow/secrets/store.json -Oct-21 11:47:00.756 [main] DEBUG nextflow.secret.SecretsLoader - Discovered secrets providers: [nextflow.secret.LocalSecretsProvider@5c41d037] - activable => nextflow.secret.LocalSecretsProvider@5c41d037 -Oct-21 11:47:00.763 [main] DEBUG nextflow.config.ConfigBuilder - Applying config profile: `conda,test_export_lb` -Oct-21 11:47:01.484 [main] DEBUG nextflow.config.ConfigBuilder - Available config profiles: [shifter, test, mamba, charliecloud, apptainer, conda, test_export_lb, singularity, wave, docker, podman] -Oct-21 11:47:01.517 [main] DEBUG nextflow.cli.CmdRun - Applied DSL=2 by global default -Oct-21 11:47:01.532 [main] DEBUG nextflow.cli.CmdRun - Launching `main.nf` [mad_goodall] DSL2 - revision: 1309f0cb95 -Oct-21 11:47:01.533 [main] DEBUG nextflow.plugin.PluginsFacade - Plugins default=[] -Oct-21 11:47:01.533 [main] DEBUG nextflow.plugin.PluginsFacade - Plugins resolved requirement=[] -Oct-21 11:47:01.578 [main] DEBUG nextflow.Session - Session UUID: 1c50b09b-76e6-4e4d-b9d8-c39ef76e1ed6 -Oct-21 11:47:01.579 [main] DEBUG nextflow.Session - Run name: mad_goodall -Oct-21 11:47:01.580 [main] DEBUG nextflow.Session - Executor pool size: 40 -Oct-21 11:47:01.587 [main] DEBUG nextflow.file.FilePorter - File porter settings maxRetries=3; maxTransfers=50; pollTimeout=null -Oct-21 11:47:01.591 [main] DEBUG nextflow.util.ThreadPoolBuilder - Creating thread pool 'FileTransfer' minSize=10; maxSize=120; workQueue=LinkedBlockingQueue[-1]; allowCoreThreadTimeout=false -Oct-21 11:47:01.618 [main] DEBUG nextflow.cli.CmdRun - - Version: 25.04.3 build 5949 - Created: 02-06-2025 20:56 UTC (22:56 CEST) - System: Linux 4.18.0-477.10.1.el8_8.x86_64 - Runtime: Groovy 4.0.26 on OpenJDK 64-Bit Server VM 17.0.8.1+1 - Encoding: UTF-8 (UTF-8) - Process: 1472630@hnode02 [192.168.104.253] - CPUs: 40 - Mem: 375.9 GB (12 GB) - Swap: 64 GB (59.2 GB) -Oct-21 11:47:01.710 [main] DEBUG nextflow.Session - Work-dir: /group/soranzo/bruno.ariano/TileDB-sumstat/work [nfs] -Oct-21 11:47:01.711 [main] DEBUG nextflow.Session - Script base path does not exist or is not a directory: /group/soranzo/bruno.ariano/TileDB-sumstat/bin -Oct-21 11:47:01.721 [main] DEBUG nextflow.executor.ExecutorFactory - Extension executors providers=[] -Oct-21 11:47:01.730 [main] DEBUG nextflow.Session - Observer factory: DefaultObserverFactory -Oct-21 11:47:01.760 [main] DEBUG nextflow.Session - Observer factory (v2): LinObserverFactory -Oct-21 11:47:01.784 [main] DEBUG nextflow.cache.CacheFactory - Using Nextflow cache factory: nextflow.cache.DefaultCacheFactory -Oct-21 11:47:01.792 [main] DEBUG nextflow.util.CustomThreadPool - Creating default thread pool > poolSize: 41; maxThreads: 1000 -Oct-21 11:47:02.001 [main] DEBUG nextflow.Session - Session start -Oct-21 11:47:02.005 [main] DEBUG nextflow.trace.TraceFileObserver - Workflow started -- trace file: /group/soranzo/bruno.ariano/TileDB-sumstat/results/pipeline_info/execution_trace_2025-10-21_11-47-01.txt -Oct-21 11:47:02.181 [main] DEBUG nextflow.script.ScriptRunner - > Launching execution -Oct-21 11:47:02.608 [main] DEBUG nextflow.script.ProcessConfig - Config settings `withLabel:process_multi` matches labels `process_multi` for process with name EXPORT_LOCUSBREAKER -Oct-21 11:47:02.616 [main] DEBUG nextflow.executor.ExecutorFactory - << taskConfig executor: null -Oct-21 11:47:02.617 [main] DEBUG nextflow.executor.ExecutorFactory - >> processorType: 'local' -Oct-21 11:47:02.622 [main] DEBUG nextflow.executor.Executor - [warm up] executor > local -Oct-21 11:47:02.628 [main] DEBUG n.processor.LocalPollingMonitor - Creating local task monitor for executor 'local' > cpus=40; memory=375.9 GB; capacity=40; pollInterval=100ms; dumpInterval=5m -Oct-21 11:47:02.631 [main] DEBUG n.processor.TaskPollingMonitor - >>> barrier register (monitor: local) -Oct-21 11:47:02.653 [main] DEBUG nextflow.processor.TaskProcessor - Creating process 'EXPORT_LOCUSBREAKER': maxForks=0; fair=false; array=0 -Oct-21 11:47:02.682 [main] DEBUG nextflow.Session - Workflow process names [dsl2]: EXPORT_LOCUSBREAKER, MERGE_METADATA, EXPORT_REGIONS, INGEST_DATA, CREATE_TILEDB -Oct-21 11:47:02.684 [main] DEBUG nextflow.Session - Igniting dataflow network (2) -Oct-21 11:47:02.689 [main] DEBUG nextflow.processor.TaskProcessor - Starting process > EXPORT_LOCUSBREAKER -Oct-21 11:47:02.690 [main] DEBUG nextflow.script.ScriptRunner - Parsed script files: - Script_7b14281b3e71c830: /group/soranzo/bruno.ariano/TileDB-sumstat/modules/merge_metadata/main.nf - Script_f79ff21670d5e55f: /group/soranzo/bruno.ariano/TileDB-sumstat/modules/regions/main.nf - Script_25f7cc05cc930eea: /group/soranzo/bruno.ariano/TileDB-sumstat/modules/locusbreaker/main.nf - Script_fa94f925e889eb3d: /group/soranzo/bruno.ariano/TileDB-sumstat/modules/create_tiledb/main.nf - Script_9642d9956a1c233a: /group/soranzo/bruno.ariano/TileDB-sumstat/modules/ingestion/main.nf - Script_d23e1daa06b1131d: /group/soranzo/bruno.ariano/TileDB-sumstat/main.nf -Oct-21 11:47:02.690 [main] DEBUG nextflow.script.ScriptRunner - > Awaiting termination -Oct-21 11:47:02.690 [main] DEBUG nextflow.Session - Session await -Oct-21 11:47:02.705 [Actor Thread 6] DEBUG n.splitter.AbstractTextSplitter - Splitter `Text` collector path: nextflow.splitter.TextFileCollector$CachePath(/group/soranzo/bruno.ariano/TileDB-sumstat/work/e5/a609d35e1f6264f5505a62ddc42571/locusbreaker_test_table.csv, null) -Oct-21 11:47:02.828 [Actor Thread 22] DEBUG nextflow.conda.CondaCache - conda found local env for environment=/ssu/gassu/conda_envs/scqtl; path=/ssu/gassu/conda_envs/scqtl -Oct-21 11:47:02.911 [Task submitter] DEBUG n.executor.local.LocalTaskHandler - Launch cmd line: /bin/bash -ue .command.run -Oct-21 11:47:02.913 [Task submitter] INFO nextflow.Session - [25/b08e39] Submitted process > EXPORT_LOCUSBREAKER (1) -Oct-21 11:47:02.931 [Task submitter] DEBUG n.executor.local.LocalTaskHandler - Launch cmd line: /bin/bash -ue .command.run -Oct-21 11:47:02.932 [Task submitter] INFO nextflow.Session - [67/f70877] Submitted process > EXPORT_LOCUSBREAKER (2) -Oct-21 11:47:02.948 [Task submitter] DEBUG n.executor.local.LocalTaskHandler - Launch cmd line: /bin/bash -ue .command.run -Oct-21 11:47:02.948 [Task submitter] INFO nextflow.Session - [d2/c01305] Submitted process > EXPORT_LOCUSBREAKER (3) -Oct-21 11:47:21.940 [Task monitor] DEBUG n.processor.TaskPollingMonitor - Task completed > TaskHandler[id: 3; name: EXPORT_LOCUSBREAKER (3); status: COMPLETED; exit: 2; error: -; workDir: /group/soranzo/bruno.ariano/TileDB-sumstat/work/d2/c0130573fca6584acfc171168172f3] -Oct-21 11:47:21.941 [Task monitor] DEBUG nextflow.util.ThreadPoolBuilder - Creating thread pool 'TaskFinalizer' minSize=10; maxSize=120; workQueue=LinkedBlockingQueue[-1]; allowCoreThreadTimeout=false -Oct-21 11:47:21.951 [TaskFinalizer-1] DEBUG nextflow.processor.TaskProcessor - Handling unexpected condition for - task: name=EXPORT_LOCUSBREAKER (3); work-dir=/group/soranzo/bruno.ariano/TileDB-sumstat/work/d2/c0130573fca6584acfc171168172f3 - error [nextflow.exception.ProcessFailedException]: Process `EXPORT_LOCUSBREAKER (3)` terminated with an error exit status (2) -Oct-21 11:47:21.954 [Task monitor] DEBUG n.processor.TaskPollingMonitor - Task completed > TaskHandler[id: 2; name: EXPORT_LOCUSBREAKER (2); status: COMPLETED; exit: 2; error: -; workDir: /group/soranzo/bruno.ariano/TileDB-sumstat/work/67/f708777f78166f29836c65334999b2] -Oct-21 11:47:21.969 [TaskFinalizer-1] ERROR nextflow.processor.TaskProcessor - Error executing process > 'EXPORT_LOCUSBREAKER (3)' - -Caused by: - Process `EXPORT_LOCUSBREAKER (3)` terminated with an error exit status (2) - - -Command executed: - - scqtl export --table-lb locusbreaker_test_table.3.csv --tiledb-path /group/soranzo/bruno.ariano/TileDB-sumstat/example_data/TileDB_test --out out --maf-lb 0.001 --type-sumstat qtl --hole-lb 250000 --locus-max-size-lb 2000000 --locusbreaker --batch-name-lb 3 - -Command exit status: - 2 - -Command output: - (empty) - -Command error: - Usage: scqtl export [OPTIONS] - Try 'scqtl export --help' for help. - - Error: No such option: --batch-name-lb (Possible options: --batch-nam-lb, --table-lb) - -Work dir: - /group/soranzo/bruno.ariano/TileDB-sumstat/work/d2/c0130573fca6584acfc171168172f3 - -Tip: view the complete command output by changing to the process work dir and entering the command `cat .command.out` -Oct-21 11:47:21.970 [TaskFinalizer-2] DEBUG nextflow.processor.TaskProcessor - Handling unexpected condition for - task: name=EXPORT_LOCUSBREAKER (2); work-dir=/group/soranzo/bruno.ariano/TileDB-sumstat/work/67/f708777f78166f29836c65334999b2 - error [nextflow.exception.ProcessFailedException]: Process `EXPORT_LOCUSBREAKER (2)` terminated with an error exit status (2) -Oct-21 11:47:21.992 [TaskFinalizer-1] INFO nextflow.Session - Execution cancelled -- Finishing pending tasks before exit -Oct-21 11:47:22.002 [main] DEBUG nextflow.Session - Session await > all processes finished -Oct-21 11:47:22.177 [Task monitor] DEBUG n.processor.TaskPollingMonitor - Task completed > TaskHandler[id: 1; name: EXPORT_LOCUSBREAKER (1); status: COMPLETED; exit: 2; error: -; workDir: /group/soranzo/bruno.ariano/TileDB-sumstat/work/25/b08e399d975209b6690e927225986a] -Oct-21 11:47:22.178 [Task monitor] DEBUG n.processor.TaskPollingMonitor - <<< barrier arrives (monitor: local) - terminating tasks monitor poll loop -Oct-21 11:47:22.178 [main] DEBUG nextflow.Session - Session await > all barriers passed -Oct-21 11:47:22.180 [TaskFinalizer-3] DEBUG nextflow.processor.TaskProcessor - Handling unexpected condition for - task: name=EXPORT_LOCUSBREAKER (1); work-dir=/group/soranzo/bruno.ariano/TileDB-sumstat/work/25/b08e399d975209b6690e927225986a - error [nextflow.exception.ProcessFailedException]: Process `EXPORT_LOCUSBREAKER (1)` terminated with an error exit status (2) -Oct-21 11:47:22.185 [main] DEBUG nextflow.util.ThreadPoolManager - Thread pool 'TaskFinalizer' shutdown completed (hard=false) -Oct-21 11:47:22.191 [main] DEBUG n.trace.WorkflowStatsObserver - Workflow completed > WorkflowStats[succeededCount=0; failedCount=3; ignoredCount=0; cachedCount=0; pendingCount=0; submittedCount=0; runningCount=0; retriesCount=0; abortedCount=0; succeedDuration=0ms; failedDuration=5m 43s; cachedDuration=0ms;loadCpus=0; loadMemory=0; peakRunning=3; peakCpus=18; peakMemory=90 GB; ] -Oct-21 11:47:22.191 [main] DEBUG nextflow.trace.TraceFileObserver - Workflow completed -- saving trace file -Oct-21 11:47:22.194 [main] DEBUG nextflow.trace.ReportObserver - Workflow completed -- rendering execution report -Oct-21 11:47:22.682 [main] DEBUG nextflow.trace.TimelineObserver - Workflow completed -- rendering execution timeline -Oct-21 11:47:22.794 [main] DEBUG nextflow.cache.CacheDB - Closing CacheDB done -Oct-21 11:47:22.820 [main] DEBUG nextflow.util.ThreadPoolManager - Thread pool 'FileTransfer' shutdown completed (hard=false) -Oct-21 11:47:22.821 [main] DEBUG nextflow.script.ScriptRunner - > Execution complete -- Goodbye diff --git a/.nextflow.log.9 b/.nextflow.log.9 deleted file mode 100644 index 6a7d85f..0000000 --- a/.nextflow.log.9 +++ /dev/null @@ -1,127 +0,0 @@ -Oct-21 11:45:02.076 [main] DEBUG nextflow.cli.Launcher - $> nextflow run main.nf -profile conda,test_export_lb -Oct-21 11:45:02.231 [main] DEBUG nextflow.cli.CmdRun - N E X T F L O W ~ version 25.04.3 -Oct-21 11:45:02.253 [main] DEBUG nextflow.plugin.PluginsFacade - Setting up plugin manager > mode=prod; embedded=false; plugins-dir=/home/bruno.ariano/.nextflow/plugins; core-plugins: nf-amazon@2.15.0,nf-azure@1.16.0,nf-cloudcache@0.4.3,nf-codecommit@0.2.3,nf-console@1.2.1,nf-google@1.21.0,nf-k8s@1.0.0,nf-tower@1.11.3,nf-wave@1.12.1 -Oct-21 11:45:02.276 [main] INFO o.pf4j.DefaultPluginStatusProvider - Enabled plugins: [] -Oct-21 11:45:02.277 [main] INFO o.pf4j.DefaultPluginStatusProvider - Disabled plugins: [] -Oct-21 11:45:02.280 [main] INFO org.pf4j.DefaultPluginManager - PF4J version 3.12.0 in 'deployment' mode -Oct-21 11:45:02.291 [main] INFO org.pf4j.AbstractPluginManager - No plugins -Oct-21 11:45:02.324 [main] DEBUG nextflow.config.ConfigBuilder - Found config local: /group/soranzo/bruno.ariano/TileDB-sumstat/nextflow.config -Oct-21 11:45:02.327 [main] DEBUG nextflow.config.ConfigBuilder - Parsing config file: /group/soranzo/bruno.ariano/TileDB-sumstat/nextflow.config -Oct-21 11:45:02.358 [main] DEBUG n.secret.LocalSecretsProvider - Secrets store: /home/bruno.ariano/.nextflow/secrets/store.json -Oct-21 11:45:02.362 [main] DEBUG nextflow.secret.SecretsLoader - Discovered secrets providers: [nextflow.secret.LocalSecretsProvider@5c41d037] - activable => nextflow.secret.LocalSecretsProvider@5c41d037 -Oct-21 11:45:02.368 [main] DEBUG nextflow.config.ConfigBuilder - Applying config profile: `conda,test_export_lb` -Oct-21 11:45:03.113 [main] DEBUG nextflow.config.ConfigBuilder - Available config profiles: [shifter, test, mamba, charliecloud, apptainer, conda, test_export_lb, singularity, wave, docker, podman] -Oct-21 11:45:03.146 [main] DEBUG nextflow.cli.CmdRun - Applied DSL=2 by global default -Oct-21 11:45:03.160 [main] DEBUG nextflow.cli.CmdRun - Launching `main.nf` [irreverent_wilson] DSL2 - revision: 1309f0cb95 -Oct-21 11:45:03.162 [main] DEBUG nextflow.plugin.PluginsFacade - Plugins default=[] -Oct-21 11:45:03.162 [main] DEBUG nextflow.plugin.PluginsFacade - Plugins resolved requirement=[] -Oct-21 11:45:03.205 [main] DEBUG nextflow.Session - Session UUID: ee4aef90-d2e5-4acd-9cda-13ea6bdea2f5 -Oct-21 11:45:03.206 [main] DEBUG nextflow.Session - Run name: irreverent_wilson -Oct-21 11:45:03.206 [main] DEBUG nextflow.Session - Executor pool size: 40 -Oct-21 11:45:03.213 [main] DEBUG nextflow.file.FilePorter - File porter settings maxRetries=3; maxTransfers=50; pollTimeout=null -Oct-21 11:45:03.217 [main] DEBUG nextflow.util.ThreadPoolBuilder - Creating thread pool 'FileTransfer' minSize=10; maxSize=120; workQueue=LinkedBlockingQueue[-1]; allowCoreThreadTimeout=false -Oct-21 11:45:03.241 [main] DEBUG nextflow.cli.CmdRun - - Version: 25.04.3 build 5949 - Created: 02-06-2025 20:56 UTC (22:56 CEST) - System: Linux 4.18.0-477.10.1.el8_8.x86_64 - Runtime: Groovy 4.0.26 on OpenJDK 64-Bit Server VM 17.0.8.1+1 - Encoding: UTF-8 (UTF-8) - Process: 1462385@hnode02 [192.168.104.253] - CPUs: 40 - Mem: 375.9 GB (13 GB) - Swap: 64 GB (59.2 GB) -Oct-21 11:45:03.272 [main] DEBUG nextflow.Session - Work-dir: /group/soranzo/bruno.ariano/TileDB-sumstat/work [nfs] -Oct-21 11:45:03.273 [main] DEBUG nextflow.Session - Script base path does not exist or is not a directory: /group/soranzo/bruno.ariano/TileDB-sumstat/bin -Oct-21 11:45:03.281 [main] DEBUG nextflow.executor.ExecutorFactory - Extension executors providers=[] -Oct-21 11:45:03.290 [main] DEBUG nextflow.Session - Observer factory: DefaultObserverFactory -Oct-21 11:45:03.318 [main] DEBUG nextflow.Session - Observer factory (v2): LinObserverFactory -Oct-21 11:45:03.342 [main] DEBUG nextflow.cache.CacheFactory - Using Nextflow cache factory: nextflow.cache.DefaultCacheFactory -Oct-21 11:45:03.350 [main] DEBUG nextflow.util.CustomThreadPool - Creating default thread pool > poolSize: 41; maxThreads: 1000 -Oct-21 11:45:03.434 [main] DEBUG nextflow.Session - Session start -Oct-21 11:45:03.437 [main] DEBUG nextflow.trace.TraceFileObserver - Workflow started -- trace file: /group/soranzo/bruno.ariano/TileDB-sumstat/results/pipeline_info/execution_trace_2025-10-21_11-45-03.txt -Oct-21 11:45:03.616 [main] DEBUG nextflow.script.ScriptRunner - > Launching execution -Oct-21 11:45:04.083 [main] DEBUG nextflow.script.ProcessConfig - Config settings `withLabel:process_multi` matches labels `process_multi` for process with name EXPORT_LOCUSBREAKER -Oct-21 11:45:04.091 [main] DEBUG nextflow.executor.ExecutorFactory - << taskConfig executor: null -Oct-21 11:45:04.092 [main] DEBUG nextflow.executor.ExecutorFactory - >> processorType: 'local' -Oct-21 11:45:04.098 [main] DEBUG nextflow.executor.Executor - [warm up] executor > local -Oct-21 11:45:04.103 [main] DEBUG n.processor.LocalPollingMonitor - Creating local task monitor for executor 'local' > cpus=40; memory=375.9 GB; capacity=40; pollInterval=100ms; dumpInterval=5m -Oct-21 11:45:04.105 [main] DEBUG n.processor.TaskPollingMonitor - >>> barrier register (monitor: local) -Oct-21 11:45:04.124 [main] DEBUG nextflow.processor.TaskProcessor - Creating process 'EXPORT_LOCUSBREAKER': maxForks=0; fair=false; array=0 -Oct-21 11:45:04.159 [main] DEBUG nextflow.Session - Workflow process names [dsl2]: EXPORT_LOCUSBREAKER, MERGE_METADATA, EXPORT_REGIONS, INGEST_DATA, CREATE_TILEDB -Oct-21 11:45:04.162 [main] DEBUG nextflow.Session - Igniting dataflow network (2) -Oct-21 11:45:04.167 [main] DEBUG nextflow.processor.TaskProcessor - Starting process > EXPORT_LOCUSBREAKER -Oct-21 11:45:04.168 [main] DEBUG nextflow.script.ScriptRunner - Parsed script files: - Script_7b14281b3e71c830: /group/soranzo/bruno.ariano/TileDB-sumstat/modules/merge_metadata/main.nf - Script_f79ff21670d5e55f: /group/soranzo/bruno.ariano/TileDB-sumstat/modules/regions/main.nf - Script_94889000f8c69be8: /group/soranzo/bruno.ariano/TileDB-sumstat/modules/locusbreaker/main.nf - Script_fa94f925e889eb3d: /group/soranzo/bruno.ariano/TileDB-sumstat/modules/create_tiledb/main.nf - Script_9642d9956a1c233a: /group/soranzo/bruno.ariano/TileDB-sumstat/modules/ingestion/main.nf - Script_d23e1daa06b1131d: /group/soranzo/bruno.ariano/TileDB-sumstat/main.nf -Oct-21 11:45:04.168 [main] DEBUG nextflow.script.ScriptRunner - > Awaiting termination -Oct-21 11:45:04.168 [main] DEBUG nextflow.Session - Session await -Oct-21 11:45:04.182 [Actor Thread 6] DEBUG n.splitter.AbstractTextSplitter - Splitter `Text` collector path: nextflow.splitter.TextFileCollector$CachePath(/group/soranzo/bruno.ariano/TileDB-sumstat/work/cb/09ba75611694f8b4c73dc09c15a65d/locusbreaker_test_table.csv, null) -Oct-21 11:45:04.264 [Actor Thread 18] WARN nextflow.script.ScriptBinding - Access to undefined parameter `tiledb_typesumstat` -- Initialise it to a default value eg. `params.tiledb_typesumstat = some_value` -Oct-21 11:45:04.273 [Actor Thread 16] WARN nextflow.script.ScriptBinding - Access to undefined parameter `tiledb_large_locus_size_lb` -- Initialise it to a default value eg. `params.tiledb_large_locus_size_lb = some_value` -Oct-21 11:45:04.325 [Actor Thread 23] DEBUG nextflow.conda.CondaCache - conda found local env for environment=/ssu/gassu/conda_envs/scqtl; path=/ssu/gassu/conda_envs/scqtl -Oct-21 11:45:04.415 [Task submitter] DEBUG n.executor.local.LocalTaskHandler - Launch cmd line: /bin/bash -ue .command.run -Oct-21 11:45:04.417 [Task submitter] INFO nextflow.Session - [7b/c0ea65] Submitted process > EXPORT_LOCUSBREAKER (2) -Oct-21 11:45:04.435 [Task submitter] DEBUG n.executor.local.LocalTaskHandler - Launch cmd line: /bin/bash -ue .command.run -Oct-21 11:45:04.436 [Task submitter] INFO nextflow.Session - [9a/2c0a3a] Submitted process > EXPORT_LOCUSBREAKER (3) -Oct-21 11:45:04.451 [Task submitter] DEBUG n.executor.local.LocalTaskHandler - Launch cmd line: /bin/bash -ue .command.run -Oct-21 11:45:04.452 [Task submitter] INFO nextflow.Session - [b2/de78cb] Submitted process > EXPORT_LOCUSBREAKER (1) -Oct-21 11:45:57.321 [Task monitor] DEBUG n.processor.TaskPollingMonitor - Task completed > TaskHandler[id: 1; name: EXPORT_LOCUSBREAKER (1); status: COMPLETED; exit: 2; error: -; workDir: /group/soranzo/bruno.ariano/TileDB-sumstat/work/b2/de78cb4a55b730dbba241a33553f2e] -Oct-21 11:45:57.322 [Task monitor] DEBUG nextflow.util.ThreadPoolBuilder - Creating thread pool 'TaskFinalizer' minSize=10; maxSize=120; workQueue=LinkedBlockingQueue[-1]; allowCoreThreadTimeout=false -Oct-21 11:45:57.331 [TaskFinalizer-1] DEBUG nextflow.processor.TaskProcessor - Handling unexpected condition for - task: name=EXPORT_LOCUSBREAKER (1); work-dir=/group/soranzo/bruno.ariano/TileDB-sumstat/work/b2/de78cb4a55b730dbba241a33553f2e - error [nextflow.exception.ProcessFailedException]: Process `EXPORT_LOCUSBREAKER (1)` terminated with an error exit status (2) -Oct-21 11:45:57.349 [TaskFinalizer-1] ERROR nextflow.processor.TaskProcessor - Error executing process > 'EXPORT_LOCUSBREAKER (1)' - -Caused by: - Process `EXPORT_LOCUSBREAKER (1)` terminated with an error exit status (2) - - -Command executed: - - scqtl - export --table-lb locusbreaker_test_table.1.csv --tiledb-path /group/soranzo/bruno.ariano/TileDB-sumstat/example_data/TileDB_test --out out --maf-lb 0.001 --type-sumstat null --hole-lb 250000 --locus-max-size-lb null --locusbreaker --batch-name-lb 1 - -Command exit status: - 2 - -Command output: - (empty) - -Command error: - Usage: scqtl [OPTIONS] COMMAND [ARGS]... - - Single cell analysis with TileDB - - Options: - --help Show this message and exit. - - Commands: - export Query TileDB database and export data. - ingest Ingest single cell QTL with TileDB - -Work dir: - /group/soranzo/bruno.ariano/TileDB-sumstat/work/b2/de78cb4a55b730dbba241a33553f2e - -Tip: when you have fixed the problem you can continue the execution adding the option `-resume` to the run command line -Oct-21 11:45:57.361 [TaskFinalizer-1] INFO nextflow.Session - Execution cancelled -- Finishing pending tasks before exit -Oct-21 11:45:57.366 [main] DEBUG nextflow.Session - Session await > all processes finished -Oct-21 11:45:57.369 [Task monitor] DEBUG n.processor.TaskPollingMonitor - Task completed > TaskHandler[id: 2; name: EXPORT_LOCUSBREAKER (2); status: COMPLETED; exit: 2; error: -; workDir: /group/soranzo/bruno.ariano/TileDB-sumstat/work/7b/c0ea6514ae9133c03a975aef68f7cb] -Oct-21 11:45:57.374 [TaskFinalizer-2] DEBUG nextflow.processor.TaskProcessor - Handling unexpected condition for - task: name=EXPORT_LOCUSBREAKER (2); work-dir=/group/soranzo/bruno.ariano/TileDB-sumstat/work/7b/c0ea6514ae9133c03a975aef68f7cb - error [nextflow.exception.ProcessFailedException]: Process `EXPORT_LOCUSBREAKER (2)` terminated with an error exit status (2) -Oct-21 11:45:57.509 [Task monitor] DEBUG n.processor.TaskPollingMonitor - Task completed > TaskHandler[id: 3; name: EXPORT_LOCUSBREAKER (3); status: COMPLETED; exit: 2; error: -; workDir: /group/soranzo/bruno.ariano/TileDB-sumstat/work/9a/2c0a3a73065be6d37bd0caa73a17d7] -Oct-21 11:45:57.510 [Task monitor] DEBUG n.processor.TaskPollingMonitor - <<< barrier arrives (monitor: local) - terminating tasks monitor poll loop -Oct-21 11:45:57.511 [main] DEBUG nextflow.Session - Session await > all barriers passed -Oct-21 11:45:57.513 [TaskFinalizer-3] DEBUG nextflow.processor.TaskProcessor - Handling unexpected condition for - task: name=EXPORT_LOCUSBREAKER (3); work-dir=/group/soranzo/bruno.ariano/TileDB-sumstat/work/9a/2c0a3a73065be6d37bd0caa73a17d7 - error [nextflow.exception.ProcessFailedException]: Process `EXPORT_LOCUSBREAKER (3)` terminated with an error exit status (2) -Oct-21 11:45:57.517 [main] DEBUG nextflow.util.ThreadPoolManager - Thread pool 'TaskFinalizer' shutdown completed (hard=false) -Oct-21 11:45:57.521 [main] DEBUG n.trace.WorkflowStatsObserver - Workflow completed > WorkflowStats[succeededCount=0; failedCount=3; ignoredCount=0; cachedCount=0; pendingCount=0; submittedCount=0; runningCount=0; retriesCount=0; abortedCount=0; succeedDuration=0ms; failedDuration=15m 52s; cachedDuration=0ms;loadCpus=0; loadMemory=0; peakRunning=3; peakCpus=18; peakMemory=90 GB; ] -Oct-21 11:45:57.521 [main] DEBUG nextflow.trace.TraceFileObserver - Workflow completed -- saving trace file -Oct-21 11:45:57.525 [main] DEBUG nextflow.trace.ReportObserver - Workflow completed -- rendering execution report -Oct-21 11:45:58.011 [main] DEBUG nextflow.trace.TimelineObserver - Workflow completed -- rendering execution timeline -Oct-21 11:45:58.174 [main] DEBUG nextflow.cache.CacheDB - Closing CacheDB done -Oct-21 11:45:58.201 [main] DEBUG nextflow.util.ThreadPoolManager - Thread pool 'FileTransfer' shutdown completed (hard=false) -Oct-21 11:45:58.202 [main] DEBUG nextflow.script.ScriptRunner - > Execution complete -- Goodbye From 310f8ffa5b312acf257d1569e04e4eee496a998e Mon Sep 17 00:00:00 2001 From: bruno-ariano Date: Tue, 11 Nov 2025 20:24:19 +0100 Subject: [PATCH 29/61] add option slurm on config --- .gitignore | 3 + .nextflow.log | 110 + .nextflow.log.1 | 91 + .nextflow.log.2 | 99 + .nextflow.log.3 | 77 + .nextflow.log.4 | 78 + .nextflow.log.5 | 128 + .nextflow.log.6 | 89 + .nextflow.log.7 | 75 + .../db/000003.log | Bin 0 -> 2108 bytes .../db/CURRENT | 1 + .../db/LOCK | 0 .../db/MANIFEST-000002 | Bin 0 -> 50 bytes .../index.focused_lumiere | Bin 0 -> 34 bytes .../db/000003.log | Bin 0 -> 2108 bytes .../db/CURRENT | 1 + .../db/LOCK | 0 .../db/MANIFEST-000002 | Bin 0 -> 50 bytes .../index.zen_laplace | Bin 0 -> 34 bytes .../db/000005.sst | Bin 0 -> 13088 bytes .../db/000006.log | Bin 0 -> 14289 bytes .../db/CURRENT | 1 + .../db/LOCK | 0 .../db/MANIFEST-000004 | Bin 0 -> 105 bytes .../index.goofy_torricelli | Bin 0 -> 187 bytes .../index.intergalactic_almeida | Bin 0 -> 187 bytes .../db/000003.log | Bin 0 -> 1048576 bytes .../db/CURRENT | 1 + .../db/LOCK | 0 .../db/MANIFEST-000002 | Bin 0 -> 1048576 bytes .../index.spontaneous_allen | Bin 0 -> 102 bytes .../db/000003.log | Bin 0 -> 1048576 bytes .../db/CURRENT | 1 + .../db/LOCK | 0 .../db/MANIFEST-000002 | Bin 0 -> 1048576 bytes .../index.stupefied_bose | 0 .../db/000003.log | Bin 0 -> 2108 bytes .../db/CURRENT | 1 + .../db/LOCK | 0 .../db/MANIFEST-000002 | Bin 0 -> 50 bytes .../index.lethal_noether | Bin 0 -> 34 bytes .nextflow/history | 16 + README.md | 12 +- conf/test.config | 16 +- docs/README.md | 144 +- example_data/snp_list.csv | 106543 +++++++++++++++ main.nf | 13 +- modules/snp/main.nf | 29 + nextflow.config | 32 +- out.csv | 1 + scqtl/cli/export.py | 27 +- snps_ale_celltypes.csv | 1797 + 52 files changed, 109360 insertions(+), 26 deletions(-) create mode 100644 .nextflow.log create mode 100644 .nextflow.log.1 create mode 100644 .nextflow.log.2 create mode 100644 .nextflow.log.3 create mode 100644 .nextflow.log.4 create mode 100644 .nextflow.log.5 create mode 100644 .nextflow.log.6 create mode 100644 .nextflow.log.7 create mode 100644 .nextflow/cache/0bafcf9f-da31-4136-9763-e2cebd5a7132/db/000003.log create mode 100644 .nextflow/cache/0bafcf9f-da31-4136-9763-e2cebd5a7132/db/CURRENT create mode 100644 .nextflow/cache/0bafcf9f-da31-4136-9763-e2cebd5a7132/db/LOCK create mode 100644 .nextflow/cache/0bafcf9f-da31-4136-9763-e2cebd5a7132/db/MANIFEST-000002 create mode 100644 .nextflow/cache/0bafcf9f-da31-4136-9763-e2cebd5a7132/index.focused_lumiere create mode 100644 .nextflow/cache/3e02481f-61d4-46f8-8bcd-b9554723b48b/db/000003.log create mode 100644 .nextflow/cache/3e02481f-61d4-46f8-8bcd-b9554723b48b/db/CURRENT create mode 100644 .nextflow/cache/3e02481f-61d4-46f8-8bcd-b9554723b48b/db/LOCK create mode 100644 .nextflow/cache/3e02481f-61d4-46f8-8bcd-b9554723b48b/db/MANIFEST-000002 create mode 100644 .nextflow/cache/3e02481f-61d4-46f8-8bcd-b9554723b48b/index.zen_laplace create mode 100644 .nextflow/cache/476b79de-0b73-43aa-a89c-08bb779c035a/db/000005.sst create mode 100644 .nextflow/cache/476b79de-0b73-43aa-a89c-08bb779c035a/db/000006.log create mode 100644 .nextflow/cache/476b79de-0b73-43aa-a89c-08bb779c035a/db/CURRENT create mode 100644 .nextflow/cache/476b79de-0b73-43aa-a89c-08bb779c035a/db/LOCK create mode 100644 .nextflow/cache/476b79de-0b73-43aa-a89c-08bb779c035a/db/MANIFEST-000004 create mode 100644 .nextflow/cache/476b79de-0b73-43aa-a89c-08bb779c035a/index.goofy_torricelli create mode 100644 .nextflow/cache/476b79de-0b73-43aa-a89c-08bb779c035a/index.intergalactic_almeida create mode 100644 .nextflow/cache/7750e903-41ee-4606-9d5c-785b04dcf759/db/000003.log create mode 100644 .nextflow/cache/7750e903-41ee-4606-9d5c-785b04dcf759/db/CURRENT create mode 100644 .nextflow/cache/7750e903-41ee-4606-9d5c-785b04dcf759/db/LOCK create mode 100644 .nextflow/cache/7750e903-41ee-4606-9d5c-785b04dcf759/db/MANIFEST-000002 create mode 100644 .nextflow/cache/7750e903-41ee-4606-9d5c-785b04dcf759/index.spontaneous_allen create mode 100644 .nextflow/cache/92a30133-6a00-4323-94ec-13cb8047aa29/db/000003.log create mode 100644 .nextflow/cache/92a30133-6a00-4323-94ec-13cb8047aa29/db/CURRENT create mode 100644 .nextflow/cache/92a30133-6a00-4323-94ec-13cb8047aa29/db/LOCK create mode 100644 .nextflow/cache/92a30133-6a00-4323-94ec-13cb8047aa29/db/MANIFEST-000002 create mode 100644 .nextflow/cache/92a30133-6a00-4323-94ec-13cb8047aa29/index.stupefied_bose create mode 100644 .nextflow/cache/983e6a48-de9a-4766-a476-52ef0a627a8b/db/000003.log create mode 100644 .nextflow/cache/983e6a48-de9a-4766-a476-52ef0a627a8b/db/CURRENT create mode 100644 .nextflow/cache/983e6a48-de9a-4766-a476-52ef0a627a8b/db/LOCK create mode 100644 .nextflow/cache/983e6a48-de9a-4766-a476-52ef0a627a8b/db/MANIFEST-000002 create mode 100644 .nextflow/cache/983e6a48-de9a-4766-a476-52ef0a627a8b/index.lethal_noether create mode 100644 .nextflow/history create mode 100644 example_data/snp_list.csv create mode 100644 modules/snp/main.nf create mode 100644 out.csv create mode 100644 snps_ale_celltypes.csv diff --git a/.gitignore b/.gitignore index c7e3050..f3d6dcd 100644 --- a/.gitignore +++ b/.gitignore @@ -1,2 +1,5 @@ __pycache__ dist/* +work/ +results/ +.nextflow* diff --git a/.nextflow.log b/.nextflow.log new file mode 100644 index 0000000..23042a3 --- /dev/null +++ b/.nextflow.log @@ -0,0 +1,110 @@ +Nov-11 19:48:44.911 [main] DEBUG nextflow.cli.Launcher - $> nextflow run main.nf -profile test_export_snp,slurm_conda +Nov-11 19:48:45.031 [main] DEBUG nextflow.cli.CmdRun - N E X T F L O W ~ version 25.04.3 +Nov-11 19:48:45.052 [main] DEBUG nextflow.plugin.PluginsFacade - Setting up plugin manager > mode=prod; embedded=false; plugins-dir=/home/bruno.ariano/.nextflow/plugins; core-plugins: nf-amazon@2.15.0,nf-azure@1.16.0,nf-cloudcache@0.4.3,nf-codecommit@0.2.3,nf-console@1.2.1,nf-google@1.21.0,nf-k8s@1.0.0,nf-tower@1.11.3,nf-wave@1.12.1 +Nov-11 19:48:45.079 [main] INFO o.pf4j.DefaultPluginStatusProvider - Enabled plugins: [] +Nov-11 19:48:45.081 [main] INFO o.pf4j.DefaultPluginStatusProvider - Disabled plugins: [] +Nov-11 19:48:45.084 [main] INFO org.pf4j.DefaultPluginManager - PF4J version 3.12.0 in 'deployment' mode +Nov-11 19:48:45.096 [main] INFO org.pf4j.AbstractPluginManager - No plugins +Nov-11 19:48:45.120 [main] DEBUG nextflow.config.ConfigBuilder - Found config local: /group/soranzo/bruno.ariano/TileDB-sumstat/nextflow.config +Nov-11 19:48:45.123 [main] DEBUG nextflow.config.ConfigBuilder - Parsing config file: /group/soranzo/bruno.ariano/TileDB-sumstat/nextflow.config +Nov-11 19:48:45.176 [main] DEBUG n.secret.LocalSecretsProvider - Secrets store: /home/bruno.ariano/.nextflow/secrets/store.json +Nov-11 19:48:45.180 [main] DEBUG nextflow.secret.SecretsLoader - Discovered secrets providers: [nextflow.secret.LocalSecretsProvider@13e698c7] - activable => nextflow.secret.LocalSecretsProvider@13e698c7 +Nov-11 19:48:45.187 [main] DEBUG nextflow.config.ConfigBuilder - Applying config profile: `test_export_snp,slurm_conda` +Nov-11 19:48:46.014 [main] DEBUG nextflow.config.ConfigBuilder - Available config profiles: [test, apptainer, wave, docker, slurm, shifter, mamba, test_export_snp, charliecloud, conda, slurm_conda, test_export_lb, singularity, podman] +Nov-11 19:48:46.046 [main] DEBUG nextflow.cli.CmdRun - Applied DSL=2 by global default +Nov-11 19:48:46.063 [main] DEBUG nextflow.cli.CmdRun - Launching `main.nf` [amazing_almeida] DSL2 - revision: c230c78a2a +Nov-11 19:48:46.064 [main] DEBUG nextflow.plugin.PluginsFacade - Plugins default=[] +Nov-11 19:48:46.065 [main] DEBUG nextflow.plugin.PluginsFacade - Plugins resolved requirement=[] +Nov-11 19:48:46.117 [main] DEBUG nextflow.Session - Session UUID: afe12e5c-4035-4ddd-a6c8-6e2cb8c68e2c +Nov-11 19:48:46.117 [main] DEBUG nextflow.Session - Run name: amazing_almeida +Nov-11 19:48:46.118 [main] DEBUG nextflow.Session - Executor pool size: 8 +Nov-11 19:48:46.126 [main] DEBUG nextflow.file.FilePorter - File porter settings maxRetries=3; maxTransfers=50; pollTimeout=null +Nov-11 19:48:46.132 [main] DEBUG nextflow.util.ThreadPoolBuilder - Creating thread pool 'FileTransfer' minSize=10; maxSize=24; workQueue=LinkedBlockingQueue[-1]; allowCoreThreadTimeout=false +Nov-11 19:48:46.159 [main] DEBUG nextflow.cli.CmdRun - + Version: 25.04.3 build 5949 + Created: 02-06-2025 20:56 UTC (22:56 CEST) + System: Linux 4.18.0-477.13.1.el8_8.x86_64 + Runtime: Groovy 4.0.26 on OpenJDK 64-Bit Server VM 17.0.8.1+1 + Encoding: UTF-8 (UTF-8) + Process: 764207@cnode03 [192.168.104.103] + CPUs: 8 - Mem: 60 GB (36.1 GB) - Swap: 0 (0) +Nov-11 19:48:46.270 [main] DEBUG nextflow.Session - Work-dir: /group/soranzo/bruno.ariano/TileDB-sumstat/work [nfs] +Nov-11 19:48:46.276 [main] DEBUG nextflow.Session - Script base path does not exist or is not a directory: /group/soranzo/bruno.ariano/TileDB-sumstat/bin +Nov-11 19:48:46.298 [main] DEBUG nextflow.executor.ExecutorFactory - Extension executors providers=[] +Nov-11 19:48:46.310 [main] DEBUG nextflow.Session - Observer factory: DefaultObserverFactory +Nov-11 19:48:46.340 [main] DEBUG nextflow.Session - Observer factory (v2): LinObserverFactory +Nov-11 19:48:46.372 [main] DEBUG nextflow.cache.CacheFactory - Using Nextflow cache factory: nextflow.cache.DefaultCacheFactory +Nov-11 19:48:46.382 [main] DEBUG nextflow.util.CustomThreadPool - Creating default thread pool > poolSize: 9; maxThreads: 1000 +Nov-11 19:48:46.476 [main] DEBUG nextflow.Session - Session start +Nov-11 19:48:46.480 [main] DEBUG nextflow.trace.TraceFileObserver - Workflow started -- trace file: /group/soranzo/bruno.ariano/TileDB-sumstat/results/pipeline_info/execution_trace_2025-11-11_19-48-45.txt +Nov-11 19:48:46.738 [main] DEBUG nextflow.script.ScriptRunner - > Launching execution +Nov-11 19:48:47.258 [main] DEBUG nextflow.script.ProcessConfig - Config settings `withLabel:process_multi` matches labels `process_multi` for process with name EXPORT_SNP +Nov-11 19:48:47.270 [main] DEBUG nextflow.executor.ExecutorFactory - << taskConfig executor: slurm +Nov-11 19:48:47.270 [main] DEBUG nextflow.executor.ExecutorFactory - >> processorType: 'slurm' +Nov-11 19:48:47.281 [main] DEBUG nextflow.executor.Executor - [warm up] executor > slurm +Nov-11 19:48:47.288 [main] DEBUG n.processor.TaskPollingMonitor - Creating task monitor for executor 'slurm' > capacity: 50; pollInterval: 5s; dumpInterval: 5m +Nov-11 19:48:47.290 [main] DEBUG n.processor.TaskPollingMonitor - >>> barrier register (monitor: slurm) +Nov-11 19:48:47.294 [main] DEBUG n.executor.AbstractGridExecutor - Creating executor 'slurm' > queue-stat-interval: 1m +Nov-11 19:48:47.316 [main] DEBUG nextflow.processor.TaskProcessor - Creating process 'EXPORT_SNP': maxForks=0; fair=false; array=0 +Nov-11 19:48:47.351 [main] DEBUG nextflow.Session - Workflow process names [dsl2]: EXPORT_LOCUSBREAKER, MERGE_METADATA, EXPORT_REGIONS, EXPORT_SNP, CREATE_TILEDB, INGEST_DATA +Nov-11 19:48:47.355 [main] DEBUG nextflow.Session - Igniting dataflow network (2) +Nov-11 19:48:47.361 [main] DEBUG nextflow.processor.TaskProcessor - Starting process > EXPORT_SNP +Nov-11 19:48:47.362 [main] DEBUG nextflow.script.ScriptRunner - Parsed script files: + Script_f79ff21670d5e55f: /group/soranzo/bruno.ariano/TileDB-sumstat/modules/regions/main.nf + Script_7b14281b3e71c830: /group/soranzo/bruno.ariano/TileDB-sumstat/modules/merge_metadata/main.nf + Script_fa94f925e889eb3d: /group/soranzo/bruno.ariano/TileDB-sumstat/modules/create_tiledb/main.nf + Script_9642d9956a1c233a: /group/soranzo/bruno.ariano/TileDB-sumstat/modules/ingestion/main.nf + Script_407064212709c912: /group/soranzo/bruno.ariano/TileDB-sumstat/main.nf + Script_aef310e1ce2070d7: /group/soranzo/bruno.ariano/TileDB-sumstat/modules/locusbreaker/main.nf + Script_db897bc2c0454a54: /group/soranzo/bruno.ariano/TileDB-sumstat/modules/snp/main.nf +Nov-11 19:48:47.363 [main] DEBUG nextflow.script.ScriptRunner - > Awaiting termination +Nov-11 19:48:47.363 [main] DEBUG nextflow.Session - Session await +Nov-11 19:48:47.405 [Actor Thread 6] DEBUG n.splitter.AbstractTextSplitter - Splitter `Text` collector path: nextflow.splitter.TextFileCollector$CachePath(/group/soranzo/bruno.ariano/TileDB-sumstat/work/b4/6a551b9ffe1d7ff44214b7ec90c587/snps_ale.csv, null) +Nov-11 19:48:47.561 [Actor Thread 9] DEBUG nextflow.conda.CondaCache - conda found local env for environment=/ssu/gassu/conda_envs/scqtl; path=/ssu/gassu/conda_envs/scqtl +Nov-11 19:48:47.728 [Task submitter] DEBUG nextflow.executor.GridTaskHandler - [SLURM] submitted process EXPORT_SNP (3) > jobId: 25225022; workDir: /group/soranzo/bruno.ariano/TileDB-sumstat/work/75/ab754a76ea5d9a1de3cae8875c3919 +Nov-11 19:48:47.728 [Task submitter] INFO nextflow.Session - [75/ab754a] Submitted process > EXPORT_SNP (3) +Nov-11 19:48:47.798 [Task submitter] DEBUG nextflow.executor.GridTaskHandler - [SLURM] submitted process EXPORT_SNP (2) > jobId: 25225023; workDir: /group/soranzo/bruno.ariano/TileDB-sumstat/work/b4/22c1c35b5cdbdead563b7027a28af2 +Nov-11 19:48:47.798 [Task submitter] INFO nextflow.Session - [b4/22c1c3] Submitted process > EXPORT_SNP (2) +Nov-11 19:48:47.849 [Task submitter] DEBUG nextflow.executor.GridTaskHandler - [SLURM] submitted process EXPORT_SNP (4) > jobId: 25225024; workDir: /group/soranzo/bruno.ariano/TileDB-sumstat/work/fd/8a1819d171cdc472a426515b5417fe +Nov-11 19:48:47.849 [Task submitter] INFO nextflow.Session - [fd/8a1819] Submitted process > EXPORT_SNP (4) +Nov-11 19:48:47.901 [Task submitter] DEBUG nextflow.executor.GridTaskHandler - [SLURM] submitted process EXPORT_SNP (1) > jobId: 25225025; workDir: /group/soranzo/bruno.ariano/TileDB-sumstat/work/64/6e72e9f7e2a1df688d0c4926ef49e9 +Nov-11 19:48:47.901 [Task submitter] INFO nextflow.Session - [64/6e72e9] Submitted process > EXPORT_SNP (1) +Nov-11 19:53:52.319 [Task monitor] DEBUG n.processor.TaskPollingMonitor - !! executor slurm > tasks to be completed: 4 -- submitted tasks are shown below +~> TaskHandler[jobId: 25225022; id: 3; name: EXPORT_SNP (3); status: RUNNING; exit: -; error: -; workDir: /group/soranzo/bruno.ariano/TileDB-sumstat/work/75/ab754a76ea5d9a1de3cae8875c3919 started: 1762886932298; exited: -; ] +~> TaskHandler[jobId: 25225023; id: 2; name: EXPORT_SNP (2); status: RUNNING; exit: -; error: -; workDir: /group/soranzo/bruno.ariano/TileDB-sumstat/work/b4/22c1c35b5cdbdead563b7027a28af2 started: 1762886932332; exited: -; ] +~> TaskHandler[jobId: 25225024; id: 4; name: EXPORT_SNP (4); status: RUNNING; exit: -; error: -; workDir: /group/soranzo/bruno.ariano/TileDB-sumstat/work/fd/8a1819d171cdc472a426515b5417fe started: 1762886932336; exited: -; ] +~> TaskHandler[jobId: 25225025; id: 1; name: EXPORT_SNP (1); status: RUNNING; exit: -; error: -; workDir: /group/soranzo/bruno.ariano/TileDB-sumstat/work/64/6e72e9f7e2a1df688d0c4926ef49e9 started: 1762886932338; exited: -; ] +Nov-11 19:58:52.340 [Task monitor] DEBUG n.processor.TaskPollingMonitor - !! executor slurm > tasks to be completed: 4 -- submitted tasks are shown below +~> TaskHandler[jobId: 25225022; id: 3; name: EXPORT_SNP (3); status: RUNNING; exit: -; error: -; workDir: /group/soranzo/bruno.ariano/TileDB-sumstat/work/75/ab754a76ea5d9a1de3cae8875c3919 started: 1762886932298; exited: -; ] +~> TaskHandler[jobId: 25225023; id: 2; name: EXPORT_SNP (2); status: RUNNING; exit: -; error: -; workDir: /group/soranzo/bruno.ariano/TileDB-sumstat/work/b4/22c1c35b5cdbdead563b7027a28af2 started: 1762886932332; exited: -; ] +~> TaskHandler[jobId: 25225024; id: 4; name: EXPORT_SNP (4); status: RUNNING; exit: -; error: -; workDir: /group/soranzo/bruno.ariano/TileDB-sumstat/work/fd/8a1819d171cdc472a426515b5417fe started: 1762886932336; exited: -; ] +~> TaskHandler[jobId: 25225025; id: 1; name: EXPORT_SNP (1); status: RUNNING; exit: -; error: -; workDir: /group/soranzo/bruno.ariano/TileDB-sumstat/work/64/6e72e9f7e2a1df688d0c4926ef49e9 started: 1762886932338; exited: -; ] +Nov-11 20:03:52.353 [Task monitor] DEBUG n.processor.TaskPollingMonitor - !! executor slurm > tasks to be completed: 4 -- submitted tasks are shown below +~> TaskHandler[jobId: 25225022; id: 3; name: EXPORT_SNP (3); status: RUNNING; exit: -; error: -; workDir: /group/soranzo/bruno.ariano/TileDB-sumstat/work/75/ab754a76ea5d9a1de3cae8875c3919 started: 1762886932298; exited: -; ] +~> TaskHandler[jobId: 25225023; id: 2; name: EXPORT_SNP (2); status: RUNNING; exit: -; error: -; workDir: /group/soranzo/bruno.ariano/TileDB-sumstat/work/b4/22c1c35b5cdbdead563b7027a28af2 started: 1762886932332; exited: -; ] +~> TaskHandler[jobId: 25225024; id: 4; name: EXPORT_SNP (4); status: RUNNING; exit: -; error: -; workDir: /group/soranzo/bruno.ariano/TileDB-sumstat/work/fd/8a1819d171cdc472a426515b5417fe started: 1762886932336; exited: -; ] +~> TaskHandler[jobId: 25225025; id: 1; name: EXPORT_SNP (1); status: RUNNING; exit: -; error: -; workDir: /group/soranzo/bruno.ariano/TileDB-sumstat/work/64/6e72e9f7e2a1df688d0c4926ef49e9 started: 1762886932338; exited: -; ] +Nov-11 20:08:52.368 [Task monitor] DEBUG n.processor.TaskPollingMonitor - !! executor slurm > tasks to be completed: 4 -- submitted tasks are shown below +~> TaskHandler[jobId: 25225022; id: 3; name: EXPORT_SNP (3); status: RUNNING; exit: -; error: -; workDir: /group/soranzo/bruno.ariano/TileDB-sumstat/work/75/ab754a76ea5d9a1de3cae8875c3919 started: 1762886932298; exited: -; ] +~> TaskHandler[jobId: 25225023; id: 2; name: EXPORT_SNP (2); status: RUNNING; exit: -; error: -; workDir: /group/soranzo/bruno.ariano/TileDB-sumstat/work/b4/22c1c35b5cdbdead563b7027a28af2 started: 1762886932332; exited: -; ] +~> TaskHandler[jobId: 25225024; id: 4; name: EXPORT_SNP (4); status: RUNNING; exit: -; error: -; workDir: /group/soranzo/bruno.ariano/TileDB-sumstat/work/fd/8a1819d171cdc472a426515b5417fe started: 1762886932336; exited: -; ] +~> TaskHandler[jobId: 25225025; id: 1; name: EXPORT_SNP (1); status: RUNNING; exit: -; error: -; workDir: /group/soranzo/bruno.ariano/TileDB-sumstat/work/64/6e72e9f7e2a1df688d0c4926ef49e9 started: 1762886932338; exited: -; ] +Nov-11 20:10:57.390 [Task monitor] DEBUG n.processor.TaskPollingMonitor - Task completed > TaskHandler[jobId: 25225022; id: 3; name: EXPORT_SNP (3); status: COMPLETED; exit: 0; error: -; workDir: /group/soranzo/bruno.ariano/TileDB-sumstat/work/75/ab754a76ea5d9a1de3cae8875c3919 started: 1762886932298; exited: 2025-11-11T19:10:08.889743Z; ] +Nov-11 20:10:57.392 [Task monitor] DEBUG nextflow.util.ThreadPoolBuilder - Creating thread pool 'TaskFinalizer' minSize=10; maxSize=24; workQueue=LinkedBlockingQueue[-1]; allowCoreThreadTimeout=false +Nov-11 20:10:57.714 [TaskFinalizer-1] DEBUG nextflow.util.ThreadPoolBuilder - Creating thread pool 'PublishDir' minSize=10; maxSize=24; workQueue=LinkedBlockingQueue[-1]; allowCoreThreadTimeout=false +Nov-11 20:13:07.384 [Task monitor] DEBUG n.processor.TaskPollingMonitor - Task completed > TaskHandler[jobId: 25225024; id: 4; name: EXPORT_SNP (4); status: COMPLETED; exit: 0; error: -; workDir: /group/soranzo/bruno.ariano/TileDB-sumstat/work/fd/8a1819d171cdc472a426515b5417fe started: 1762886932336; exited: 2025-11-11T19:12:48.015969Z; ] +Nov-11 20:13:12.380 [Task monitor] DEBUG nextflow.file.FileHelper - FS path type (true): /group/soranzo/bruno.ariano/TileDB-sumstat/work +Nov-11 20:13:12.422 [Task monitor] DEBUG n.processor.TaskPollingMonitor - Task completed > TaskHandler[jobId: 25225025; id: 1; name: EXPORT_SNP (1); status: COMPLETED; exit: 0; error: -; workDir: /group/soranzo/bruno.ariano/TileDB-sumstat/work/64/6e72e9f7e2a1df688d0c4926ef49e9 started: 1762886932338; exited: 2025-11-11T19:12:54.453764Z; ] +Nov-11 20:13:22.386 [Task monitor] DEBUG n.processor.TaskPollingMonitor - Task completed > TaskHandler[jobId: 25225023; id: 2; name: EXPORT_SNP (2); status: COMPLETED; exit: 0; error: -; workDir: /group/soranzo/bruno.ariano/TileDB-sumstat/work/b4/22c1c35b5cdbdead563b7027a28af2 started: 1762886932332; exited: 2025-11-11T19:13:20.796284Z; ] +Nov-11 20:13:22.413 [main] DEBUG nextflow.Session - Session await > all processes finished +Nov-11 20:13:27.380 [Task monitor] DEBUG n.processor.TaskPollingMonitor - <<< barrier arrives (monitor: slurm) - terminating tasks monitor poll loop +Nov-11 20:13:27.381 [main] DEBUG nextflow.Session - Session await > all barriers passed +Nov-11 20:13:27.385 [main] DEBUG nextflow.util.ThreadPoolManager - Thread pool 'TaskFinalizer' shutdown completed (hard=false) +Nov-11 20:13:27.385 [main] DEBUG nextflow.util.ThreadPoolManager - Thread pool 'PublishDir' shutdown completed (hard=false) +Nov-11 20:13:27.486 [main] DEBUG n.trace.WorkflowStatsObserver - Workflow completed > WorkflowStats[succeededCount=4; failedCount=0; ignoredCount=0; cachedCount=0; pendingCount=0; submittedCount=0; runningCount=0; retriesCount=0; abortedCount=0; succeedDuration=9h 20m 16s; failedDuration=0ms; cachedDuration=0ms;loadCpus=0; loadMemory=0; peakRunning=4; peakCpus=24; peakMemory=64 GB; ] +Nov-11 20:13:27.486 [main] DEBUG nextflow.trace.TraceFileObserver - Workflow completed -- saving trace file +Nov-11 20:13:27.501 [main] DEBUG nextflow.trace.ReportObserver - Workflow completed -- rendering execution report +Nov-11 20:13:28.246 [main] DEBUG nextflow.trace.TimelineObserver - Workflow completed -- rendering execution timeline +Nov-11 20:13:28.698 [main] DEBUG nextflow.cache.CacheDB - Closing CacheDB done +Nov-11 20:13:28.747 [main] DEBUG nextflow.util.ThreadPoolManager - Thread pool 'FileTransfer' shutdown completed (hard=false) +Nov-11 20:13:28.748 [main] DEBUG nextflow.script.ScriptRunner - > Execution complete -- Goodbye diff --git a/.nextflow.log.1 b/.nextflow.log.1 new file mode 100644 index 0000000..9a67499 --- /dev/null +++ b/.nextflow.log.1 @@ -0,0 +1,91 @@ +Nov-11 19:44:15.643 [main] DEBUG nextflow.cli.Launcher - $> nextflow run main.nf -profile test_export_snp,slurm_conda +Nov-11 19:44:15.778 [main] DEBUG nextflow.cli.CmdRun - N E X T F L O W ~ version 25.04.3 +Nov-11 19:44:15.802 [main] DEBUG nextflow.plugin.PluginsFacade - Setting up plugin manager > mode=prod; embedded=false; plugins-dir=/home/bruno.ariano/.nextflow/plugins; core-plugins: nf-amazon@2.15.0,nf-azure@1.16.0,nf-cloudcache@0.4.3,nf-codecommit@0.2.3,nf-console@1.2.1,nf-google@1.21.0,nf-k8s@1.0.0,nf-tower@1.11.3,nf-wave@1.12.1 +Nov-11 19:44:15.832 [main] INFO o.pf4j.DefaultPluginStatusProvider - Enabled plugins: [] +Nov-11 19:44:15.834 [main] INFO o.pf4j.DefaultPluginStatusProvider - Disabled plugins: [] +Nov-11 19:44:15.837 [main] INFO org.pf4j.DefaultPluginManager - PF4J version 3.12.0 in 'deployment' mode +Nov-11 19:44:15.851 [main] INFO org.pf4j.AbstractPluginManager - No plugins +Nov-11 19:44:15.874 [main] DEBUG nextflow.config.ConfigBuilder - Found config local: /group/soranzo/bruno.ariano/TileDB-sumstat/nextflow.config +Nov-11 19:44:15.876 [main] DEBUG nextflow.config.ConfigBuilder - Parsing config file: /group/soranzo/bruno.ariano/TileDB-sumstat/nextflow.config +Nov-11 19:44:15.958 [main] DEBUG n.secret.LocalSecretsProvider - Secrets store: /home/bruno.ariano/.nextflow/secrets/store.json +Nov-11 19:44:15.963 [main] DEBUG nextflow.secret.SecretsLoader - Discovered secrets providers: [nextflow.secret.LocalSecretsProvider@13e698c7] - activable => nextflow.secret.LocalSecretsProvider@13e698c7 +Nov-11 19:44:15.972 [main] DEBUG nextflow.config.ConfigBuilder - Applying config profile: `test_export_snp,slurm_conda` +Nov-11 19:44:16.929 [main] DEBUG nextflow.config.ConfigBuilder - Available config profiles: [test, apptainer, wave, docker, slurm, shifter, mamba, test_export_snp, charliecloud, conda, slurm_conda, test_export_lb, singularity, podman] +Nov-11 19:44:16.960 [main] DEBUG nextflow.cli.CmdRun - Applied DSL=2 by global default +Nov-11 19:44:17.004 [main] DEBUG nextflow.cli.CmdRun - Launching `main.nf` [distracted_ekeblad] DSL2 - revision: c230c78a2a +Nov-11 19:44:17.007 [main] DEBUG nextflow.plugin.PluginsFacade - Plugins default=[] +Nov-11 19:44:17.008 [main] DEBUG nextflow.plugin.PluginsFacade - Plugins resolved requirement=[] +Nov-11 19:44:17.064 [main] DEBUG nextflow.Session - Session UUID: ed068041-b1db-4f82-afa6-47c6950cf200 +Nov-11 19:44:17.065 [main] DEBUG nextflow.Session - Run name: distracted_ekeblad +Nov-11 19:44:17.066 [main] DEBUG nextflow.Session - Executor pool size: 8 +Nov-11 19:44:17.074 [main] DEBUG nextflow.file.FilePorter - File porter settings maxRetries=3; maxTransfers=50; pollTimeout=null +Nov-11 19:44:17.080 [main] DEBUG nextflow.util.ThreadPoolBuilder - Creating thread pool 'FileTransfer' minSize=10; maxSize=24; workQueue=LinkedBlockingQueue[-1]; allowCoreThreadTimeout=false +Nov-11 19:44:17.109 [main] DEBUG nextflow.cli.CmdRun - + Version: 25.04.3 build 5949 + Created: 02-06-2025 20:56 UTC (22:56 CEST) + System: Linux 4.18.0-477.13.1.el8_8.x86_64 + Runtime: Groovy 4.0.26 on OpenJDK 64-Bit Server VM 17.0.8.1+1 + Encoding: UTF-8 (UTF-8) + Process: 759626@cnode03 [192.168.104.103] + CPUs: 8 - Mem: 60 GB (41.8 GB) - Swap: 0 (0) +Nov-11 19:44:17.152 [main] DEBUG nextflow.Session - Work-dir: /group/soranzo/bruno.ariano/TileDB-sumstat/work [nfs] +Nov-11 19:44:17.153 [main] DEBUG nextflow.Session - Script base path does not exist or is not a directory: /group/soranzo/bruno.ariano/TileDB-sumstat/bin +Nov-11 19:44:17.163 [main] DEBUG nextflow.executor.ExecutorFactory - Extension executors providers=[] +Nov-11 19:44:17.173 [main] DEBUG nextflow.Session - Observer factory: DefaultObserverFactory +Nov-11 19:44:17.201 [main] DEBUG nextflow.Session - Observer factory (v2): LinObserverFactory +Nov-11 19:44:17.245 [main] DEBUG nextflow.cache.CacheFactory - Using Nextflow cache factory: nextflow.cache.DefaultCacheFactory +Nov-11 19:44:17.260 [main] DEBUG nextflow.util.CustomThreadPool - Creating default thread pool > poolSize: 9; maxThreads: 1000 +Nov-11 19:44:17.356 [main] DEBUG nextflow.Session - Session start +Nov-11 19:44:17.360 [main] DEBUG nextflow.trace.TraceFileObserver - Workflow started -- trace file: /group/soranzo/bruno.ariano/TileDB-sumstat/results/pipeline_info/execution_trace_2025-11-11_19-44-16.txt +Nov-11 19:44:17.601 [main] DEBUG nextflow.script.ScriptRunner - > Launching execution +Nov-11 19:44:18.141 [main] DEBUG nextflow.script.ProcessConfig - Config settings `withLabel:process_multi` matches labels `process_multi` for process with name EXPORT_SNP +Nov-11 19:44:18.151 [main] DEBUG nextflow.executor.ExecutorFactory - << taskConfig executor: slurm +Nov-11 19:44:18.151 [main] DEBUG nextflow.executor.ExecutorFactory - >> processorType: 'slurm' +Nov-11 19:44:18.161 [main] DEBUG nextflow.executor.Executor - [warm up] executor > slurm +Nov-11 19:44:18.167 [main] DEBUG n.processor.TaskPollingMonitor - Creating task monitor for executor 'slurm' > capacity: 50; pollInterval: 5s; dumpInterval: 5m +Nov-11 19:44:18.169 [main] DEBUG n.processor.TaskPollingMonitor - >>> barrier register (monitor: slurm) +Nov-11 19:44:18.171 [main] DEBUG n.executor.AbstractGridExecutor - Creating executor 'slurm' > queue-stat-interval: 1m +Nov-11 19:44:18.192 [main] DEBUG nextflow.processor.TaskProcessor - Creating process 'EXPORT_SNP': maxForks=0; fair=false; array=0 +Nov-11 19:44:18.224 [main] DEBUG nextflow.Session - Workflow process names [dsl2]: EXPORT_LOCUSBREAKER, MERGE_METADATA, EXPORT_REGIONS, INGEST_DATA, CREATE_TILEDB, EXPORT_SNP +Nov-11 19:44:18.226 [main] DEBUG nextflow.Session - Igniting dataflow network (2) +Nov-11 19:44:18.232 [main] DEBUG nextflow.processor.TaskProcessor - Starting process > EXPORT_SNP +Nov-11 19:44:18.233 [main] DEBUG nextflow.script.ScriptRunner - Parsed script files: + Script_f79ff21670d5e55f: /group/soranzo/bruno.ariano/TileDB-sumstat/modules/regions/main.nf + Script_7b14281b3e71c830: /group/soranzo/bruno.ariano/TileDB-sumstat/modules/merge_metadata/main.nf + Script_fa94f925e889eb3d: /group/soranzo/bruno.ariano/TileDB-sumstat/modules/create_tiledb/main.nf + Script_407064212709c912: /group/soranzo/bruno.ariano/TileDB-sumstat/main.nf + Script_9642d9956a1c233a: /group/soranzo/bruno.ariano/TileDB-sumstat/modules/ingestion/main.nf + Script_aef310e1ce2070d7: /group/soranzo/bruno.ariano/TileDB-sumstat/modules/locusbreaker/main.nf + Script_db897bc2c0454a54: /group/soranzo/bruno.ariano/TileDB-sumstat/modules/snp/main.nf +Nov-11 19:44:18.233 [main] DEBUG nextflow.script.ScriptRunner - > Awaiting termination +Nov-11 19:44:18.233 [main] DEBUG nextflow.Session - Session await +Nov-11 19:44:18.328 [Actor Thread 6] DEBUG n.splitter.AbstractTextSplitter - Splitter `Text` collector path: nextflow.splitter.TextFileCollector$CachePath(/group/soranzo/bruno.ariano/TileDB-sumstat/work/3a/7c2ef3ad24ccb862886aa11161eed5/snps_ale.csv, null) +Nov-11 19:44:18.459 [Actor Thread 3] DEBUG nextflow.conda.CondaCache - conda found local env for environment=/ssu/gassu/conda_envs/scqtl; path=/ssu/gassu/conda_envs/scqtl +Nov-11 19:44:18.620 [Task submitter] DEBUG nextflow.executor.GridTaskHandler - [SLURM] submitted process EXPORT_SNP (3) > jobId: 25224931; workDir: /group/soranzo/bruno.ariano/TileDB-sumstat/work/b1/b4077221681ca1b9511b7ff2613f4b +Nov-11 19:44:18.621 [Task submitter] INFO nextflow.Session - [b1/b40772] Submitted process > EXPORT_SNP (3) +Nov-11 19:44:18.679 [Task submitter] DEBUG nextflow.executor.GridTaskHandler - [SLURM] submitted process EXPORT_SNP (1) > jobId: 25224932; workDir: /group/soranzo/bruno.ariano/TileDB-sumstat/work/f3/51f250083692052c5dd03f44f0d5c2 +Nov-11 19:44:18.679 [Task submitter] INFO nextflow.Session - [f3/51f250] Submitted process > EXPORT_SNP (1) +Nov-11 19:44:18.729 [Task submitter] DEBUG nextflow.executor.GridTaskHandler - [SLURM] submitted process EXPORT_SNP (4) > jobId: 25224933; workDir: /group/soranzo/bruno.ariano/TileDB-sumstat/work/76/a16471204326a67e2b94d293bab950 +Nov-11 19:44:18.729 [Task submitter] INFO nextflow.Session - [76/a16471] Submitted process > EXPORT_SNP (4) +Nov-11 19:44:18.777 [Task submitter] DEBUG nextflow.executor.GridTaskHandler - [SLURM] submitted process EXPORT_SNP (2) > jobId: 25224934; workDir: /group/soranzo/bruno.ariano/TileDB-sumstat/work/96/8ff698bffc0983e15603bd3ac8ea59 +Nov-11 19:44:18.777 [Task submitter] INFO nextflow.Session - [96/8ff698] Submitted process > EXPORT_SNP (2) +Nov-11 19:47:33.186 [Task monitor] DEBUG nextflow.file.FileHelper - FS path type (true): /group/soranzo/bruno.ariano/TileDB-sumstat/work +Nov-11 19:47:33.219 [Task monitor] DEBUG n.processor.TaskPollingMonitor - Task completed > TaskHandler[jobId: 25224932; id: 1; name: EXPORT_SNP (1); status: COMPLETED; exit: 137; error: -; workDir: /group/soranzo/bruno.ariano/TileDB-sumstat/work/f3/51f250083692052c5dd03f44f0d5c2 started: 1762886663214; exited: 2025-11-11T18:47:12.760122Z; ] +Nov-11 19:47:33.219 [Task monitor] DEBUG nextflow.util.ThreadPoolBuilder - Creating thread pool 'TaskFinalizer' minSize=10; maxSize=24; workQueue=LinkedBlockingQueue[-1]; allowCoreThreadTimeout=false +Nov-11 19:47:33.231 [TaskFinalizer-1] DEBUG nextflow.processor.TaskProcessor - Handling unexpected condition for + task: name=EXPORT_SNP (1); work-dir=/group/soranzo/bruno.ariano/TileDB-sumstat/work/f3/51f250083692052c5dd03f44f0d5c2 + error [nextflow.exception.ProcessFailedException]: Process `EXPORT_SNP (1)` terminated with an error exit status (137) +Nov-11 19:47:33.244 [TaskFinalizer-1] INFO nextflow.processor.TaskProcessor - [f3/51f250] NOTE: Process `EXPORT_SNP (1)` terminated with an error exit status (137) -- Execution is retried (1) +Nov-11 19:47:33.393 [Task submitter] DEBUG nextflow.executor.GridTaskHandler - [SLURM] submitted process EXPORT_SNP (1) > jobId: 25225014; workDir: /group/soranzo/bruno.ariano/TileDB-sumstat/work/b6/b11d96b656d239c24e813d0f2a5eb5 +Nov-11 19:47:33.394 [Task submitter] INFO nextflow.Session - [b6/b11d96] Re-submitted process > EXPORT_SNP (1) +Nov-11 19:48:03.439 [SIGINT handler] DEBUG nextflow.Session - Session aborted -- Cause: SIGINT +Nov-11 19:48:03.456 [Task monitor] DEBUG n.processor.TaskPollingMonitor - <<< barrier arrives (monitor: slurm) - terminating tasks monitor poll loop +Nov-11 19:48:03.456 [main] DEBUG nextflow.Session - Session await > all processes finished +Nov-11 19:48:03.456 [main] DEBUG nextflow.Session - Session await > all barriers passed +Nov-11 19:48:03.460 [main] WARN n.processor.TaskPollingMonitor - Killing running tasks (4) +Nov-11 19:48:03.515 [main] DEBUG n.trace.WorkflowStatsObserver - Workflow completed > WorkflowStats[succeededCount=0; failedCount=1; ignoredCount=0; cachedCount=0; pendingCount=0; submittedCount=0; runningCount=0; retriesCount=1; abortedCount=4; succeedDuration=0ms; failedDuration=12m 40s; cachedDuration=0ms;loadCpus=0; loadMemory=0; peakRunning=4; peakCpus=16; peakMemory=32 GB; ] +Nov-11 19:48:03.516 [main] DEBUG nextflow.trace.TraceFileObserver - Workflow completed -- saving trace file +Nov-11 19:48:03.517 [main] DEBUG nextflow.trace.ReportObserver - Workflow completed -- rendering execution report +Nov-11 19:48:04.038 [main] DEBUG nextflow.trace.TimelineObserver - Workflow completed -- rendering execution timeline +Nov-11 19:48:04.161 [main] DEBUG nextflow.cache.CacheDB - Closing CacheDB done +Nov-11 19:48:04.193 [main] DEBUG nextflow.script.ScriptRunner - > Execution complete -- Goodbye diff --git a/.nextflow.log.2 b/.nextflow.log.2 new file mode 100644 index 0000000..6d01c7b --- /dev/null +++ b/.nextflow.log.2 @@ -0,0 +1,99 @@ +Nov-11 19:41:10.943 [main] DEBUG nextflow.cli.Launcher - $> nextflow run main.nf -profile test_export_snp,slurm_conda +Nov-11 19:41:11.063 [main] DEBUG nextflow.cli.CmdRun - N E X T F L O W ~ version 25.04.3 +Nov-11 19:41:11.086 [main] DEBUG nextflow.plugin.PluginsFacade - Setting up plugin manager > mode=prod; embedded=false; plugins-dir=/home/bruno.ariano/.nextflow/plugins; core-plugins: nf-amazon@2.15.0,nf-azure@1.16.0,nf-cloudcache@0.4.3,nf-codecommit@0.2.3,nf-console@1.2.1,nf-google@1.21.0,nf-k8s@1.0.0,nf-tower@1.11.3,nf-wave@1.12.1 +Nov-11 19:41:11.112 [main] INFO o.pf4j.DefaultPluginStatusProvider - Enabled plugins: [] +Nov-11 19:41:11.113 [main] INFO o.pf4j.DefaultPluginStatusProvider - Disabled plugins: [] +Nov-11 19:41:11.116 [main] INFO org.pf4j.DefaultPluginManager - PF4J version 3.12.0 in 'deployment' mode +Nov-11 19:41:11.129 [main] INFO org.pf4j.AbstractPluginManager - No plugins +Nov-11 19:41:11.150 [main] DEBUG nextflow.config.ConfigBuilder - Found config local: /group/soranzo/bruno.ariano/TileDB-sumstat/nextflow.config +Nov-11 19:41:11.153 [main] DEBUG nextflow.config.ConfigBuilder - Parsing config file: /group/soranzo/bruno.ariano/TileDB-sumstat/nextflow.config +Nov-11 19:41:11.206 [main] DEBUG n.secret.LocalSecretsProvider - Secrets store: /home/bruno.ariano/.nextflow/secrets/store.json +Nov-11 19:41:11.209 [main] DEBUG nextflow.secret.SecretsLoader - Discovered secrets providers: [nextflow.secret.LocalSecretsProvider@13e698c7] - activable => nextflow.secret.LocalSecretsProvider@13e698c7 +Nov-11 19:41:11.216 [main] DEBUG nextflow.config.ConfigBuilder - Applying config profile: `test_export_snp,slurm_conda` +Nov-11 19:41:12.300 [main] DEBUG nextflow.config.ConfigBuilder - Available config profiles: [test, apptainer, wave, docker, slurm, shifter, mamba, test_export_snp, charliecloud, conda, slurm_conda, test_export_lb, singularity, podman] +Nov-11 19:41:12.341 [main] DEBUG nextflow.cli.CmdRun - Applied DSL=2 by global default +Nov-11 19:41:12.359 [main] DEBUG nextflow.cli.CmdRun - Launching `main.nf` [infallible_solvay] DSL2 - revision: c230c78a2a +Nov-11 19:41:12.361 [main] DEBUG nextflow.plugin.PluginsFacade - Plugins default=[] +Nov-11 19:41:12.361 [main] DEBUG nextflow.plugin.PluginsFacade - Plugins resolved requirement=[] +Nov-11 19:41:12.417 [main] DEBUG nextflow.Session - Session UUID: df48cfc6-4d7f-40a3-8a61-15ab9aff4c98 +Nov-11 19:41:12.417 [main] DEBUG nextflow.Session - Run name: infallible_solvay +Nov-11 19:41:12.418 [main] DEBUG nextflow.Session - Executor pool size: 8 +Nov-11 19:41:12.429 [main] DEBUG nextflow.file.FilePorter - File porter settings maxRetries=3; maxTransfers=50; pollTimeout=null +Nov-11 19:41:12.458 [main] DEBUG nextflow.util.ThreadPoolBuilder - Creating thread pool 'FileTransfer' minSize=10; maxSize=24; workQueue=LinkedBlockingQueue[-1]; allowCoreThreadTimeout=false +Nov-11 19:41:12.526 [main] DEBUG nextflow.cli.CmdRun - + Version: 25.04.3 build 5949 + Created: 02-06-2025 20:56 UTC (22:56 CEST) + System: Linux 4.18.0-477.13.1.el8_8.x86_64 + Runtime: Groovy 4.0.26 on OpenJDK 64-Bit Server VM 17.0.8.1+1 + Encoding: UTF-8 (UTF-8) + Process: 750624@cnode03 [192.168.104.103] + CPUs: 8 - Mem: 60 GB (48 GB) - Swap: 0 (0) +Nov-11 19:41:12.588 [main] DEBUG nextflow.Session - Work-dir: /group/soranzo/bruno.ariano/TileDB-sumstat/work [nfs] +Nov-11 19:41:12.589 [main] DEBUG nextflow.Session - Script base path does not exist or is not a directory: /group/soranzo/bruno.ariano/TileDB-sumstat/bin +Nov-11 19:41:12.600 [main] DEBUG nextflow.executor.ExecutorFactory - Extension executors providers=[] +Nov-11 19:41:12.610 [main] DEBUG nextflow.Session - Observer factory: DefaultObserverFactory +Nov-11 19:41:12.639 [main] DEBUG nextflow.Session - Observer factory (v2): LinObserverFactory +Nov-11 19:41:12.669 [main] DEBUG nextflow.cache.CacheFactory - Using Nextflow cache factory: nextflow.cache.DefaultCacheFactory +Nov-11 19:41:12.680 [main] DEBUG nextflow.util.CustomThreadPool - Creating default thread pool > poolSize: 9; maxThreads: 1000 +Nov-11 19:41:12.801 [main] DEBUG nextflow.Session - Session start +Nov-11 19:41:12.807 [main] DEBUG nextflow.trace.TraceFileObserver - Workflow started -- trace file: /group/soranzo/bruno.ariano/TileDB-sumstat/results/pipeline_info/execution_trace_2025-11-11_19-41-12.txt +Nov-11 19:41:13.126 [main] DEBUG nextflow.script.ScriptRunner - > Launching execution +Nov-11 19:41:13.739 [main] DEBUG nextflow.script.ProcessConfig - Config settings `withLabel:process_multi` matches labels `process_multi` for process with name EXPORT_SNP +Nov-11 19:41:13.751 [main] DEBUG nextflow.executor.ExecutorFactory - << taskConfig executor: slurm +Nov-11 19:41:13.751 [main] DEBUG nextflow.executor.ExecutorFactory - >> processorType: 'slurm' +Nov-11 19:41:13.761 [main] DEBUG nextflow.executor.Executor - [warm up] executor > slurm +Nov-11 19:41:13.768 [main] DEBUG n.processor.TaskPollingMonitor - Creating task monitor for executor 'slurm' > capacity: 50; pollInterval: 5s; dumpInterval: 5m +Nov-11 19:41:13.770 [main] DEBUG n.processor.TaskPollingMonitor - >>> barrier register (monitor: slurm) +Nov-11 19:41:13.785 [main] DEBUG n.executor.AbstractGridExecutor - Creating executor 'slurm' > queue-stat-interval: 1m +Nov-11 19:41:13.806 [main] DEBUG nextflow.processor.TaskProcessor - Creating process 'EXPORT_SNP': maxForks=0; fair=false; array=0 +Nov-11 19:41:13.843 [main] DEBUG nextflow.Session - Workflow process names [dsl2]: EXPORT_LOCUSBREAKER, MERGE_METADATA, EXPORT_REGIONS, INGEST_DATA, CREATE_TILEDB, EXPORT_SNP +Nov-11 19:41:13.846 [main] DEBUG nextflow.Session - Igniting dataflow network (2) +Nov-11 19:41:13.852 [main] DEBUG nextflow.processor.TaskProcessor - Starting process > EXPORT_SNP +Nov-11 19:41:13.853 [main] DEBUG nextflow.script.ScriptRunner - Parsed script files: + Script_7b14281b3e71c830: /group/soranzo/bruno.ariano/TileDB-sumstat/modules/merge_metadata/main.nf + Script_f79ff21670d5e55f: /group/soranzo/bruno.ariano/TileDB-sumstat/modules/regions/main.nf + Script_fa94f925e889eb3d: /group/soranzo/bruno.ariano/TileDB-sumstat/modules/create_tiledb/main.nf + Script_407064212709c912: /group/soranzo/bruno.ariano/TileDB-sumstat/main.nf + Script_9642d9956a1c233a: /group/soranzo/bruno.ariano/TileDB-sumstat/modules/ingestion/main.nf + Script_aef310e1ce2070d7: /group/soranzo/bruno.ariano/TileDB-sumstat/modules/locusbreaker/main.nf + Script_db897bc2c0454a54: /group/soranzo/bruno.ariano/TileDB-sumstat/modules/snp/main.nf +Nov-11 19:41:13.854 [main] DEBUG nextflow.script.ScriptRunner - > Awaiting termination +Nov-11 19:41:13.854 [main] DEBUG nextflow.Session - Session await +Nov-11 19:41:13.874 [Actor Thread 6] DEBUG n.splitter.AbstractTextSplitter - Splitter `Text` collector path: nextflow.splitter.TextFileCollector$CachePath(/group/soranzo/bruno.ariano/TileDB-sumstat/work/3e/66619793bb149b06b34b172d23841a/snps_ale.csv, null) +Nov-11 19:41:14.065 [Actor Thread 8] DEBUG nextflow.conda.CondaCache - conda found local env for environment=/ssu/gassu/conda_envs/scqtl; path=/ssu/gassu/conda_envs/scqtl +Nov-11 19:41:14.241 [Task submitter] DEBUG nextflow.processor.TaskProcessor - Handling unexpected condition for + task: name=EXPORT_SNP (2); work-dir=/group/soranzo/bruno.ariano/TileDB-sumstat/work/a4/5a9af9b58d4fc68739e6e0ce37a23f + error [nextflow.exception.ProcessFailedException]: Error submitting process 'EXPORT_SNP (2)' for execution +Nov-11 19:41:14.284 [Task submitter] DEBUG nextflow.processor.TaskRun - Unable to dump error of process 'null' -- Cause: java.nio.file.NoSuchFileException: /group/soranzo/bruno.ariano/TileDB-sumstat/work/a4/5a9af9b58d4fc68739e6e0ce37a23f/.command.log +Nov-11 19:41:14.287 [Task submitter] ERROR nextflow.processor.TaskProcessor - Error executing process > 'EXPORT_SNP (2)' + +Caused by: + Failed to submit process to grid scheduler for execution + + +Command executed: + + sbatch .command.run + +Command exit status: + 1 + +Command output: + sbatch: error: invalid partition specified: your_partition_name + sbatch: error: Batch job submission failed: Invalid partition name specified + +Work dir: + /group/soranzo/bruno.ariano/TileDB-sumstat/work/a4/5a9af9b58d4fc68739e6e0ce37a23f + +Tip: when you have fixed the problem you can continue the execution adding the option `-resume` to the run command line +Nov-11 19:41:14.290 [Task submitter] INFO nextflow.Session - Execution cancelled -- Finishing pending tasks before exit +Nov-11 19:41:14.296 [main] DEBUG nextflow.Session - Session await > all processes finished +Nov-11 19:41:14.298 [Task monitor] DEBUG n.processor.TaskPollingMonitor - <<< barrier arrives (monitor: slurm) - terminating tasks monitor poll loop +Nov-11 19:41:14.299 [main] DEBUG nextflow.Session - Session await > all barriers passed +Nov-11 19:41:14.310 [main] DEBUG n.trace.WorkflowStatsObserver - Workflow completed > WorkflowStats[succeededCount=0; failedCount=1; ignoredCount=0; cachedCount=0; pendingCount=4; submittedCount=0; runningCount=-1; retriesCount=0; abortedCount=0; succeedDuration=0ms; failedDuration=0ms; cachedDuration=0ms;loadCpus=-4; loadMemory=0; peakRunning=0; peakCpus=0; peakMemory=0; ] +Nov-11 19:41:14.310 [main] DEBUG nextflow.trace.TraceFileObserver - Workflow completed -- saving trace file +Nov-11 19:41:14.314 [main] DEBUG nextflow.trace.ReportObserver - Workflow completed -- rendering execution report +Nov-11 19:41:14.855 [main] DEBUG nextflow.trace.TimelineObserver - Workflow completed -- rendering execution timeline +Nov-11 19:41:15.123 [main] DEBUG nextflow.cache.CacheDB - Closing CacheDB done +Nov-11 19:41:15.150 [main] DEBUG nextflow.util.ThreadPoolManager - Thread pool 'FileTransfer' shutdown completed (hard=false) +Nov-11 19:41:15.151 [main] DEBUG nextflow.script.ScriptRunner - > Execution complete -- Goodbye diff --git a/.nextflow.log.3 b/.nextflow.log.3 new file mode 100644 index 0000000..a7801ae --- /dev/null +++ b/.nextflow.log.3 @@ -0,0 +1,77 @@ +Nov-11 19:40:01.890 [main] DEBUG nextflow.cli.Launcher - $> nextflow run main.nf -profile test_export_snp,conda +Nov-11 19:40:02.025 [main] DEBUG nextflow.cli.CmdRun - N E X T F L O W ~ version 25.04.3 +Nov-11 19:40:02.047 [main] DEBUG nextflow.plugin.PluginsFacade - Setting up plugin manager > mode=prod; embedded=false; plugins-dir=/home/bruno.ariano/.nextflow/plugins; core-plugins: nf-amazon@2.15.0,nf-azure@1.16.0,nf-cloudcache@0.4.3,nf-codecommit@0.2.3,nf-console@1.2.1,nf-google@1.21.0,nf-k8s@1.0.0,nf-tower@1.11.3,nf-wave@1.12.1 +Nov-11 19:40:02.074 [main] INFO o.pf4j.DefaultPluginStatusProvider - Enabled plugins: [] +Nov-11 19:40:02.076 [main] INFO o.pf4j.DefaultPluginStatusProvider - Disabled plugins: [] +Nov-11 19:40:02.079 [main] INFO org.pf4j.DefaultPluginManager - PF4J version 3.12.0 in 'deployment' mode +Nov-11 19:40:02.091 [main] INFO org.pf4j.AbstractPluginManager - No plugins +Nov-11 19:40:02.115 [main] DEBUG nextflow.config.ConfigBuilder - Found config local: /group/soranzo/bruno.ariano/TileDB-sumstat/nextflow.config +Nov-11 19:40:02.119 [main] DEBUG nextflow.config.ConfigBuilder - Parsing config file: /group/soranzo/bruno.ariano/TileDB-sumstat/nextflow.config +Nov-11 19:40:02.177 [main] DEBUG n.secret.LocalSecretsProvider - Secrets store: /home/bruno.ariano/.nextflow/secrets/store.json +Nov-11 19:40:02.180 [main] DEBUG nextflow.secret.SecretsLoader - Discovered secrets providers: [nextflow.secret.LocalSecretsProvider@13e698c7] - activable => nextflow.secret.LocalSecretsProvider@13e698c7 +Nov-11 19:40:02.187 [main] DEBUG nextflow.config.ConfigBuilder - Applying config profile: `test_export_snp,conda` +Nov-11 19:40:03.079 [main] DEBUG nextflow.config.ConfigBuilder - Available config profiles: [test, apptainer, wave, docker, slurm, shifter, mamba, test_export_snp, charliecloud, conda, slurm_conda, test_export_lb, singularity, podman] +Nov-11 19:40:03.115 [main] DEBUG nextflow.cli.CmdRun - Applied DSL=2 by global default +Nov-11 19:40:03.132 [main] DEBUG nextflow.cli.CmdRun - Launching `main.nf` [drunk_stonebraker] DSL2 - revision: c230c78a2a +Nov-11 19:40:03.134 [main] DEBUG nextflow.plugin.PluginsFacade - Plugins default=[] +Nov-11 19:40:03.135 [main] DEBUG nextflow.plugin.PluginsFacade - Plugins resolved requirement=[] +Nov-11 19:40:03.254 [main] DEBUG nextflow.Session - Session UUID: fa42aa65-847f-4cb7-9022-43bfecc43e49 +Nov-11 19:40:03.257 [main] DEBUG nextflow.Session - Run name: drunk_stonebraker +Nov-11 19:40:03.258 [main] DEBUG nextflow.Session - Executor pool size: 8 +Nov-11 19:40:03.269 [main] DEBUG nextflow.file.FilePorter - File porter settings maxRetries=3; maxTransfers=50; pollTimeout=null +Nov-11 19:40:03.276 [main] DEBUG nextflow.util.ThreadPoolBuilder - Creating thread pool 'FileTransfer' minSize=10; maxSize=24; workQueue=LinkedBlockingQueue[-1]; allowCoreThreadTimeout=false +Nov-11 19:40:03.317 [main] DEBUG nextflow.cli.CmdRun - + Version: 25.04.3 build 5949 + Created: 02-06-2025 20:56 UTC (22:56 CEST) + System: Linux 4.18.0-477.13.1.el8_8.x86_64 + Runtime: Groovy 4.0.26 on OpenJDK 64-Bit Server VM 17.0.8.1+1 + Encoding: UTF-8 (UTF-8) + Process: 746088@cnode03 [192.168.104.103] + CPUs: 8 - Mem: 60 GB (50.5 GB) - Swap: 0 (0) +Nov-11 19:40:03.360 [main] DEBUG nextflow.Session - Work-dir: /group/soranzo/bruno.ariano/TileDB-sumstat/work [nfs] +Nov-11 19:40:03.361 [main] DEBUG nextflow.Session - Script base path does not exist or is not a directory: /group/soranzo/bruno.ariano/TileDB-sumstat/bin +Nov-11 19:40:03.373 [main] DEBUG nextflow.executor.ExecutorFactory - Extension executors providers=[] +Nov-11 19:40:03.385 [main] DEBUG nextflow.Session - Observer factory: DefaultObserverFactory +Nov-11 19:40:03.418 [main] DEBUG nextflow.Session - Observer factory (v2): LinObserverFactory +Nov-11 19:40:03.449 [main] DEBUG nextflow.cache.CacheFactory - Using Nextflow cache factory: nextflow.cache.DefaultCacheFactory +Nov-11 19:40:03.460 [main] DEBUG nextflow.util.CustomThreadPool - Creating default thread pool > poolSize: 9; maxThreads: 1000 +Nov-11 19:40:03.587 [main] DEBUG nextflow.Session - Session start +Nov-11 19:40:03.591 [main] DEBUG nextflow.trace.TraceFileObserver - Workflow started -- trace file: /group/soranzo/bruno.ariano/TileDB-sumstat/results/pipeline_info/execution_trace_2025-11-11_19-40-03.txt +Nov-11 19:40:03.876 [main] DEBUG nextflow.script.ScriptRunner - > Launching execution +Nov-11 19:40:04.429 [main] DEBUG nextflow.script.ProcessConfig - Config settings `withLabel:process_multi` matches labels `process_multi` for process with name EXPORT_SNP +Nov-11 19:40:04.445 [main] DEBUG nextflow.executor.ExecutorFactory - << taskConfig executor: null +Nov-11 19:40:04.445 [main] DEBUG nextflow.executor.ExecutorFactory - >> processorType: 'local' +Nov-11 19:40:04.453 [main] DEBUG nextflow.executor.Executor - [warm up] executor > local +Nov-11 19:40:04.461 [main] DEBUG n.processor.LocalPollingMonitor - Creating local task monitor for executor 'local' > cpus=8; memory=60 GB; capacity=8; pollInterval=100ms; dumpInterval=5m +Nov-11 19:40:04.467 [main] DEBUG n.processor.TaskPollingMonitor - >>> barrier register (monitor: local) +Nov-11 19:40:04.492 [main] DEBUG nextflow.processor.TaskProcessor - Creating process 'EXPORT_SNP': maxForks=0; fair=false; array=0 +Nov-11 19:40:04.528 [main] DEBUG nextflow.Session - Workflow process names [dsl2]: EXPORT_LOCUSBREAKER, MERGE_METADATA, EXPORT_REGIONS, EXPORT_SNP, INGEST_DATA, CREATE_TILEDB +Nov-11 19:40:04.531 [main] DEBUG nextflow.Session - Igniting dataflow network (2) +Nov-11 19:40:04.538 [main] DEBUG nextflow.processor.TaskProcessor - Starting process > EXPORT_SNP +Nov-11 19:40:04.539 [main] DEBUG nextflow.script.ScriptRunner - Parsed script files: + Script_f79ff21670d5e55f: /group/soranzo/bruno.ariano/TileDB-sumstat/modules/regions/main.nf + Script_7b14281b3e71c830: /group/soranzo/bruno.ariano/TileDB-sumstat/modules/merge_metadata/main.nf + Script_fa94f925e889eb3d: /group/soranzo/bruno.ariano/TileDB-sumstat/modules/create_tiledb/main.nf + Script_407064212709c912: /group/soranzo/bruno.ariano/TileDB-sumstat/main.nf + Script_9642d9956a1c233a: /group/soranzo/bruno.ariano/TileDB-sumstat/modules/ingestion/main.nf + Script_db897bc2c0454a54: /group/soranzo/bruno.ariano/TileDB-sumstat/modules/snp/main.nf + Script_aef310e1ce2070d7: /group/soranzo/bruno.ariano/TileDB-sumstat/modules/locusbreaker/main.nf +Nov-11 19:40:04.540 [main] DEBUG nextflow.script.ScriptRunner - > Awaiting termination +Nov-11 19:40:04.540 [main] DEBUG nextflow.Session - Session await +Nov-11 19:40:04.561 [Actor Thread 6] DEBUG n.splitter.AbstractTextSplitter - Splitter `Text` collector path: nextflow.splitter.TextFileCollector$CachePath(/group/soranzo/bruno.ariano/TileDB-sumstat/work/49/f01a03cb498729d8eb14bc7ccea16e/snps_ale.csv, null) +Nov-11 19:40:04.741 [Actor Thread 6] DEBUG nextflow.conda.CondaCache - conda found local env for environment=/ssu/gassu/conda_envs/scqtl; path=/ssu/gassu/conda_envs/scqtl +Nov-11 19:40:04.845 [Task submitter] DEBUG n.executor.local.LocalTaskHandler - Launch cmd line: /bin/bash -ue .command.run +Nov-11 19:40:04.848 [Task submitter] INFO nextflow.Session - [50/8b6364] Submitted process > EXPORT_SNP (3) +Nov-11 19:41:02.126 [SIGINT handler] DEBUG nextflow.Session - Session aborted -- Cause: SIGINT +Nov-11 19:41:02.146 [Task monitor] DEBUG n.processor.TaskPollingMonitor - <<< barrier arrives (monitor: local) - terminating tasks monitor poll loop +Nov-11 19:41:02.148 [main] DEBUG nextflow.Session - Session await > all processes finished +Nov-11 19:41:02.148 [main] DEBUG nextflow.Session - Session await > all barriers passed +Nov-11 19:41:02.153 [main] WARN n.processor.TaskPollingMonitor - Killing running tasks (1) +Nov-11 19:41:02.164 [main] DEBUG n.executor.local.LocalTaskHandler - Unable to kill EXPORT_SNP (3) -- command: kill -TERM 746408; exit: 1 + bash: line 0: kill: (746408) - No such process + +Nov-11 19:41:02.183 [main] DEBUG n.trace.WorkflowStatsObserver - Workflow completed > WorkflowStats[succeededCount=0; failedCount=0; ignoredCount=0; cachedCount=0; pendingCount=3; submittedCount=0; runningCount=0; retriesCount=0; abortedCount=1; succeedDuration=0ms; failedDuration=0ms; cachedDuration=0ms;loadCpus=0; loadMemory=0; peakRunning=1; peakCpus=6; peakMemory=30 GB; ] +Nov-11 19:41:02.184 [main] DEBUG nextflow.trace.TraceFileObserver - Workflow completed -- saving trace file +Nov-11 19:41:02.186 [main] DEBUG nextflow.trace.ReportObserver - Workflow completed -- rendering execution report +Nov-11 19:41:02.706 [SIGINT handler] INFO nextflow.Session - Adieu +Nov-11 19:41:02.723 [main] DEBUG nextflow.trace.TimelineObserver - Workflow completed -- rendering execution timeline diff --git a/.nextflow.log.4 b/.nextflow.log.4 new file mode 100644 index 0000000..5dbf217 --- /dev/null +++ b/.nextflow.log.4 @@ -0,0 +1,78 @@ +Nov-11 19:36:35.612 [main] DEBUG nextflow.cli.Launcher - $> nextflow run main.nf -profile test_export_snp,conda +Nov-11 19:36:35.999 [main] DEBUG nextflow.cli.CmdRun - N E X T F L O W ~ version 25.04.3 +Nov-11 19:36:36.227 [main] DEBUG nextflow.plugin.PluginsFacade - Setting up plugin manager > mode=prod; embedded=false; plugins-dir=/home/bruno.ariano/.nextflow/plugins; core-plugins: nf-amazon@2.15.0,nf-azure@1.16.0,nf-cloudcache@0.4.3,nf-codecommit@0.2.3,nf-console@1.2.1,nf-google@1.21.0,nf-k8s@1.0.0,nf-tower@1.11.3,nf-wave@1.12.1 +Nov-11 19:36:36.387 [main] INFO o.pf4j.DefaultPluginStatusProvider - Enabled plugins: [] +Nov-11 19:36:36.388 [main] INFO o.pf4j.DefaultPluginStatusProvider - Disabled plugins: [] +Nov-11 19:36:36.391 [main] INFO org.pf4j.DefaultPluginManager - PF4J version 3.12.0 in 'deployment' mode +Nov-11 19:36:36.493 [main] INFO org.pf4j.AbstractPluginManager - No plugins +Nov-11 19:36:36.533 [main] DEBUG nextflow.config.ConfigBuilder - Found config local: /group/soranzo/bruno.ariano/TileDB-sumstat/nextflow.config +Nov-11 19:36:36.536 [main] DEBUG nextflow.config.ConfigBuilder - Parsing config file: /group/soranzo/bruno.ariano/TileDB-sumstat/nextflow.config +Nov-11 19:36:36.675 [main] DEBUG n.secret.LocalSecretsProvider - Secrets store: /home/bruno.ariano/.nextflow/secrets/store.json +Nov-11 19:36:36.680 [main] DEBUG nextflow.secret.SecretsLoader - Discovered secrets providers: [nextflow.secret.LocalSecretsProvider@64e1dd11] - activable => nextflow.secret.LocalSecretsProvider@64e1dd11 +Nov-11 19:36:36.687 [main] DEBUG nextflow.config.ConfigBuilder - Applying config profile: `test_export_snp,conda` +Nov-11 19:36:38.151 [main] DEBUG nextflow.config.ConfigBuilder - Available config profiles: [shifter, test, mamba, test_export_snp, charliecloud, apptainer, conda, test_export_lb, singularity, wave, docker, podman] +Nov-11 19:36:38.203 [main] DEBUG nextflow.cli.CmdRun - Applied DSL=2 by global default +Nov-11 19:36:38.285 [main] DEBUG nextflow.cli.CmdRun - Launching `main.nf` [distraught_cori] DSL2 - revision: c230c78a2a +Nov-11 19:36:38.287 [main] DEBUG nextflow.plugin.PluginsFacade - Plugins default=[] +Nov-11 19:36:38.287 [main] DEBUG nextflow.plugin.PluginsFacade - Plugins resolved requirement=[] +Nov-11 19:36:38.480 [main] DEBUG nextflow.Session - Session UUID: 369a006d-df35-43c4-af49-340766553168 +Nov-11 19:36:38.480 [main] DEBUG nextflow.Session - Run name: distraught_cori +Nov-11 19:36:38.481 [main] DEBUG nextflow.Session - Executor pool size: 8 +Nov-11 19:36:38.501 [main] DEBUG nextflow.file.FilePorter - File porter settings maxRetries=3; maxTransfers=50; pollTimeout=null +Nov-11 19:36:38.506 [main] DEBUG nextflow.util.ThreadPoolBuilder - Creating thread pool 'FileTransfer' minSize=10; maxSize=24; workQueue=LinkedBlockingQueue[-1]; allowCoreThreadTimeout=false +Nov-11 19:36:38.911 [main] DEBUG nextflow.cli.CmdRun - + Version: 25.04.3 build 5949 + Created: 02-06-2025 20:56 UTC (22:56 CEST) + System: Linux 4.18.0-477.13.1.el8_8.x86_64 + Runtime: Groovy 4.0.26 on OpenJDK 64-Bit Server VM 17.0.8.1+1 + Encoding: UTF-8 (UTF-8) + Process: 726116@cnode03 [192.168.104.103] + CPUs: 8 - Mem: 60 GB (59.7 GB) - Swap: 0 (0) +Nov-11 19:36:38.953 [main] DEBUG nextflow.Session - Work-dir: /group/soranzo/bruno.ariano/TileDB-sumstat/work [nfs] +Nov-11 19:36:38.954 [main] DEBUG nextflow.Session - Script base path does not exist or is not a directory: /group/soranzo/bruno.ariano/TileDB-sumstat/bin +Nov-11 19:36:38.987 [main] DEBUG nextflow.executor.ExecutorFactory - Extension executors providers=[] +Nov-11 19:36:38.998 [main] DEBUG nextflow.Session - Observer factory: DefaultObserverFactory +Nov-11 19:36:39.025 [main] DEBUG nextflow.Session - Observer factory (v2): LinObserverFactory +Nov-11 19:36:39.053 [main] DEBUG nextflow.cache.CacheFactory - Using Nextflow cache factory: nextflow.cache.DefaultCacheFactory +Nov-11 19:36:39.076 [main] DEBUG nextflow.util.CustomThreadPool - Creating default thread pool > poolSize: 9; maxThreads: 1000 +Nov-11 19:36:39.524 [main] DEBUG nextflow.Session - Session start +Nov-11 19:36:39.528 [main] DEBUG nextflow.trace.TraceFileObserver - Workflow started -- trace file: /group/soranzo/bruno.ariano/TileDB-sumstat/results/pipeline_info/execution_trace_2025-11-11_19-36-38.txt +Nov-11 19:36:39.815 [main] DEBUG nextflow.script.ScriptRunner - > Launching execution +Nov-11 19:36:40.350 [main] DEBUG nextflow.script.ProcessConfig - Config settings `withLabel:process_multi` matches labels `process_multi` for process with name EXPORT_SNP +Nov-11 19:36:40.359 [main] DEBUG nextflow.executor.ExecutorFactory - << taskConfig executor: null +Nov-11 19:36:40.359 [main] DEBUG nextflow.executor.ExecutorFactory - >> processorType: 'local' +Nov-11 19:36:40.365 [main] DEBUG nextflow.executor.Executor - [warm up] executor > local +Nov-11 19:36:40.373 [main] DEBUG n.processor.LocalPollingMonitor - Creating local task monitor for executor 'local' > cpus=8; memory=60 GB; capacity=8; pollInterval=100ms; dumpInterval=5m +Nov-11 19:36:40.391 [main] DEBUG n.processor.TaskPollingMonitor - >>> barrier register (monitor: local) +Nov-11 19:36:40.414 [main] DEBUG nextflow.processor.TaskProcessor - Creating process 'EXPORT_SNP': maxForks=0; fair=false; array=0 +Nov-11 19:36:40.446 [main] DEBUG nextflow.Session - Workflow process names [dsl2]: EXPORT_LOCUSBREAKER, MERGE_METADATA, EXPORT_REGIONS, INGEST_DATA, CREATE_TILEDB, EXPORT_SNP +Nov-11 19:36:40.448 [main] DEBUG nextflow.Session - Igniting dataflow network (2) +Nov-11 19:36:40.454 [main] DEBUG nextflow.processor.TaskProcessor - Starting process > EXPORT_SNP +Nov-11 19:36:40.455 [main] DEBUG nextflow.script.ScriptRunner - Parsed script files: + Script_f79ff21670d5e55f: /group/soranzo/bruno.ariano/TileDB-sumstat/modules/regions/main.nf + Script_7b14281b3e71c830: /group/soranzo/bruno.ariano/TileDB-sumstat/modules/merge_metadata/main.nf + Script_fa94f925e889eb3d: /group/soranzo/bruno.ariano/TileDB-sumstat/modules/create_tiledb/main.nf + Script_407064212709c912: /group/soranzo/bruno.ariano/TileDB-sumstat/main.nf + Script_9642d9956a1c233a: /group/soranzo/bruno.ariano/TileDB-sumstat/modules/ingestion/main.nf + Script_db897bc2c0454a54: /group/soranzo/bruno.ariano/TileDB-sumstat/modules/snp/main.nf + Script_aef310e1ce2070d7: /group/soranzo/bruno.ariano/TileDB-sumstat/modules/locusbreaker/main.nf +Nov-11 19:36:40.455 [main] DEBUG nextflow.script.ScriptRunner - > Awaiting termination +Nov-11 19:36:40.455 [main] DEBUG nextflow.Session - Session await +Nov-11 19:36:40.478 [Actor Thread 6] DEBUG n.splitter.AbstractTextSplitter - Splitter `Text` collector path: nextflow.splitter.TextFileCollector$CachePath(/group/soranzo/bruno.ariano/TileDB-sumstat/work/c8/a6fb02355a041e507aaf80fa50496b/snps_ale.csv, null) +Nov-11 19:36:40.675 [Actor Thread 8] DEBUG nextflow.conda.CondaCache - conda found local env for environment=/ssu/gassu/conda_envs/scqtl; path=/ssu/gassu/conda_envs/scqtl +Nov-11 19:36:40.781 [Task submitter] DEBUG n.executor.local.LocalTaskHandler - Launch cmd line: /bin/bash -ue .command.run +Nov-11 19:36:40.784 [Task submitter] INFO nextflow.Session - [24/f2a66f] Submitted process > EXPORT_SNP (1) +Nov-11 19:37:38.556 [SIGINT handler] DEBUG nextflow.Session - Session aborted -- Cause: SIGINT +Nov-11 19:37:38.561 [Task monitor] DEBUG n.processor.TaskPollingMonitor - <<< barrier arrives (monitor: local) - terminating tasks monitor poll loop +Nov-11 19:37:38.573 [main] DEBUG nextflow.Session - Session await > all processes finished +Nov-11 19:37:38.573 [main] DEBUG nextflow.Session - Session await > all barriers passed +Nov-11 19:37:38.577 [main] WARN n.processor.TaskPollingMonitor - Killing running tasks (1) +Nov-11 19:37:38.586 [main] DEBUG n.executor.local.LocalTaskHandler - Unable to kill EXPORT_SNP (1) -- command: kill -TERM 727686; exit: 1 + bash: line 0: kill: (727686) - No such process + +Nov-11 19:37:38.602 [main] DEBUG n.trace.WorkflowStatsObserver - Workflow completed > WorkflowStats[succeededCount=0; failedCount=0; ignoredCount=0; cachedCount=0; pendingCount=1; submittedCount=0; runningCount=0; retriesCount=0; abortedCount=1; succeedDuration=0ms; failedDuration=0ms; cachedDuration=0ms;loadCpus=0; loadMemory=0; peakRunning=1; peakCpus=6; peakMemory=30 GB; ] +Nov-11 19:37:38.602 [main] DEBUG nextflow.trace.TraceFileObserver - Workflow completed -- saving trace file +Nov-11 19:37:38.604 [main] DEBUG nextflow.trace.ReportObserver - Workflow completed -- rendering execution report +Nov-11 19:37:39.168 [main] DEBUG nextflow.trace.TimelineObserver - Workflow completed -- rendering execution timeline +Nov-11 19:37:39.300 [main] DEBUG nextflow.cache.CacheDB - Closing CacheDB done +Nov-11 19:37:39.328 [main] DEBUG nextflow.script.ScriptRunner - > Execution complete -- Goodbye diff --git a/.nextflow.log.5 b/.nextflow.log.5 new file mode 100644 index 0000000..18eea03 --- /dev/null +++ b/.nextflow.log.5 @@ -0,0 +1,128 @@ +Nov-11 13:37:45.095 [main] DEBUG nextflow.cli.Launcher - $> nextflow run main.nf -profile test_export_snp,conda +Nov-11 13:37:45.258 [main] DEBUG nextflow.cli.CmdRun - N E X T F L O W ~ version 25.04.3 +Nov-11 13:37:45.278 [main] DEBUG nextflow.plugin.PluginsFacade - Setting up plugin manager > mode=prod; embedded=false; plugins-dir=/home/bruno.ariano/.nextflow/plugins; core-plugins: nf-amazon@2.15.0,nf-azure@1.16.0,nf-cloudcache@0.4.3,nf-codecommit@0.2.3,nf-console@1.2.1,nf-google@1.21.0,nf-k8s@1.0.0,nf-tower@1.11.3,nf-wave@1.12.1 +Nov-11 13:37:45.303 [main] INFO o.pf4j.DefaultPluginStatusProvider - Enabled plugins: [] +Nov-11 13:37:45.304 [main] INFO o.pf4j.DefaultPluginStatusProvider - Disabled plugins: [] +Nov-11 13:37:45.307 [main] INFO org.pf4j.DefaultPluginManager - PF4J version 3.12.0 in 'deployment' mode +Nov-11 13:37:45.319 [main] INFO org.pf4j.AbstractPluginManager - No plugins +Nov-11 13:37:45.340 [main] DEBUG nextflow.config.ConfigBuilder - Found config local: /group/soranzo/bruno.ariano/TileDB-sumstat/nextflow.config +Nov-11 13:37:45.343 [main] DEBUG nextflow.config.ConfigBuilder - Parsing config file: /group/soranzo/bruno.ariano/TileDB-sumstat/nextflow.config +Nov-11 13:37:45.384 [main] DEBUG n.secret.LocalSecretsProvider - Secrets store: /home/bruno.ariano/.nextflow/secrets/store.json +Nov-11 13:37:45.387 [main] DEBUG nextflow.secret.SecretsLoader - Discovered secrets providers: [nextflow.secret.LocalSecretsProvider@13e698c7] - activable => nextflow.secret.LocalSecretsProvider@13e698c7 +Nov-11 13:37:45.394 [main] DEBUG nextflow.config.ConfigBuilder - Applying config profile: `test_export_snp,conda` +Nov-11 13:37:46.165 [main] DEBUG nextflow.config.ConfigBuilder - Available config profiles: [shifter, test, mamba, test_export_snp, charliecloud, apptainer, conda, test_export_lb, singularity, wave, docker, podman] +Nov-11 13:37:46.196 [main] DEBUG nextflow.cli.CmdRun - Applied DSL=2 by global default +Nov-11 13:37:46.211 [main] DEBUG nextflow.cli.CmdRun - Launching `main.nf` [magical_chandrasekhar] DSL2 - revision: c230c78a2a +Nov-11 13:37:46.212 [main] DEBUG nextflow.plugin.PluginsFacade - Plugins default=[] +Nov-11 13:37:46.213 [main] DEBUG nextflow.plugin.PluginsFacade - Plugins resolved requirement=[] +Nov-11 13:37:46.260 [main] DEBUG nextflow.Session - Session UUID: 152176fb-984a-4b34-9930-16352766f3e6 +Nov-11 13:37:46.260 [main] DEBUG nextflow.Session - Run name: magical_chandrasekhar +Nov-11 13:37:46.261 [main] DEBUG nextflow.Session - Executor pool size: 8 +Nov-11 13:37:46.269 [main] DEBUG nextflow.file.FilePorter - File porter settings maxRetries=3; maxTransfers=50; pollTimeout=null +Nov-11 13:37:46.274 [main] DEBUG nextflow.util.ThreadPoolBuilder - Creating thread pool 'FileTransfer' minSize=10; maxSize=24; workQueue=LinkedBlockingQueue[-1]; allowCoreThreadTimeout=false +Nov-11 13:37:46.305 [main] DEBUG nextflow.cli.CmdRun - + Version: 25.04.3 build 5949 + Created: 02-06-2025 20:56 UTC (22:56 CEST) + System: Linux 4.18.0-477.13.1.el8_8.x86_64 + Runtime: Groovy 4.0.26 on OpenJDK 64-Bit Server VM 17.0.8.1+1 + Encoding: UTF-8 (UTF-8) + Process: 2708869@cnode15 [192.168.104.115] + CPUs: 8 - Mem: 60 GB (48 GB) - Swap: 0 (0) +Nov-11 13:37:46.338 [main] DEBUG nextflow.Session - Work-dir: /group/soranzo/bruno.ariano/TileDB-sumstat/work [nfs] +Nov-11 13:37:46.339 [main] DEBUG nextflow.Session - Script base path does not exist or is not a directory: /group/soranzo/bruno.ariano/TileDB-sumstat/bin +Nov-11 13:37:46.349 [main] DEBUG nextflow.executor.ExecutorFactory - Extension executors providers=[] +Nov-11 13:37:46.358 [main] DEBUG nextflow.Session - Observer factory: DefaultObserverFactory +Nov-11 13:37:46.383 [main] DEBUG nextflow.Session - Observer factory (v2): LinObserverFactory +Nov-11 13:37:46.407 [main] DEBUG nextflow.cache.CacheFactory - Using Nextflow cache factory: nextflow.cache.DefaultCacheFactory +Nov-11 13:37:46.416 [main] DEBUG nextflow.util.CustomThreadPool - Creating default thread pool > poolSize: 9; maxThreads: 1000 +Nov-11 13:37:46.513 [main] DEBUG nextflow.Session - Session start +Nov-11 13:37:46.518 [main] DEBUG nextflow.trace.TraceFileObserver - Workflow started -- trace file: /group/soranzo/bruno.ariano/TileDB-sumstat/results/pipeline_info/execution_trace_2025-11-11_13-37-46.txt +Nov-11 13:37:46.932 [main] DEBUG nextflow.script.ScriptRunner - > Launching execution +Nov-11 13:37:47.436 [main] DEBUG nextflow.script.ProcessConfig - Config settings `withLabel:process_multi` matches labels `process_multi` for process with name EXPORT_SNP +Nov-11 13:37:47.447 [main] DEBUG nextflow.executor.ExecutorFactory - << taskConfig executor: null +Nov-11 13:37:47.447 [main] DEBUG nextflow.executor.ExecutorFactory - >> processorType: 'local' +Nov-11 13:37:47.453 [main] DEBUG nextflow.executor.Executor - [warm up] executor > local +Nov-11 13:37:47.459 [main] DEBUG n.processor.LocalPollingMonitor - Creating local task monitor for executor 'local' > cpus=8; memory=60 GB; capacity=8; pollInterval=100ms; dumpInterval=5m +Nov-11 13:37:47.461 [main] DEBUG n.processor.TaskPollingMonitor - >>> barrier register (monitor: local) +Nov-11 13:37:47.483 [main] DEBUG nextflow.processor.TaskProcessor - Creating process 'EXPORT_SNP': maxForks=0; fair=false; array=0 +Nov-11 13:37:47.514 [main] DEBUG nextflow.Session - Workflow process names [dsl2]: EXPORT_LOCUSBREAKER, MERGE_METADATA, EXPORT_REGIONS, INGEST_DATA, CREATE_TILEDB, EXPORT_SNP +Nov-11 13:37:47.518 [main] DEBUG nextflow.Session - Igniting dataflow network (2) +Nov-11 13:37:47.533 [main] DEBUG nextflow.processor.TaskProcessor - Starting process > EXPORT_SNP +Nov-11 13:37:47.534 [main] DEBUG nextflow.script.ScriptRunner - Parsed script files: + Script_7b14281b3e71c830: /group/soranzo/bruno.ariano/TileDB-sumstat/modules/merge_metadata/main.nf + Script_f79ff21670d5e55f: /group/soranzo/bruno.ariano/TileDB-sumstat/modules/regions/main.nf + Script_fa94f925e889eb3d: /group/soranzo/bruno.ariano/TileDB-sumstat/modules/create_tiledb/main.nf + Script_407064212709c912: /group/soranzo/bruno.ariano/TileDB-sumstat/main.nf + Script_9642d9956a1c233a: /group/soranzo/bruno.ariano/TileDB-sumstat/modules/ingestion/main.nf + Script_aef310e1ce2070d7: /group/soranzo/bruno.ariano/TileDB-sumstat/modules/locusbreaker/main.nf + Script_db897bc2c0454a54: /group/soranzo/bruno.ariano/TileDB-sumstat/modules/snp/main.nf +Nov-11 13:37:47.534 [main] DEBUG nextflow.script.ScriptRunner - > Awaiting termination +Nov-11 13:37:47.534 [main] DEBUG nextflow.Session - Session await +Nov-11 13:37:47.561 [Actor Thread 6] DEBUG n.splitter.AbstractTextSplitter - Splitter `Text` collector path: nextflow.splitter.TextFileCollector$CachePath(/group/soranzo/bruno.ariano/TileDB-sumstat/work/6e/208e568cf21722f316a525a3c154ad/snps_ale.csv, null) +Nov-11 13:37:47.721 [Actor Thread 8] DEBUG nextflow.conda.CondaCache - conda found local env for environment=/ssu/gassu/conda_envs/scqtl; path=/ssu/gassu/conda_envs/scqtl +Nov-11 13:37:47.811 [Task submitter] DEBUG n.executor.local.LocalTaskHandler - Launch cmd line: /bin/bash -ue .command.run +Nov-11 13:37:47.813 [Task submitter] INFO nextflow.Session - [86/0d5432] Submitted process > EXPORT_SNP (2) +Nov-11 13:42:47.631 [Task monitor] DEBUG n.processor.TaskPollingMonitor - !! executor local > tasks to be completed: 1 -- submitted tasks are shown below +~> TaskHandler[id: 2; name: EXPORT_SNP (2); status: RUNNING; exit: -; error: -; workDir: /group/soranzo/bruno.ariano/TileDB-sumstat/work/86/0d54325ece0958e42aa25bc6318f6f] +Nov-11 13:42:47.977 [Task submitter] DEBUG n.processor.TaskPollingMonitor - %% executor local > tasks in the submission queue: 1 -- tasks to be submitted are shown below +~> TaskHandler[id: 1; name: EXPORT_SNP (1); status: NEW; exit: -; error: -; workDir: /group/soranzo/bruno.ariano/TileDB-sumstat/work/3f/d527ebb95a5377d270b37caf32f46e] +Nov-11 13:47:47.694 [Task monitor] DEBUG n.processor.TaskPollingMonitor - !! executor local > tasks to be completed: 1 -- submitted tasks are shown below +~> TaskHandler[id: 2; name: EXPORT_SNP (2); status: RUNNING; exit: -; error: -; workDir: /group/soranzo/bruno.ariano/TileDB-sumstat/work/86/0d54325ece0958e42aa25bc6318f6f] +Nov-11 13:47:48.101 [Task submitter] DEBUG n.processor.TaskPollingMonitor - %% executor local > tasks in the submission queue: 1 -- tasks to be submitted are shown below +~> TaskHandler[id: 1; name: EXPORT_SNP (1); status: NEW; exit: -; error: -; workDir: /group/soranzo/bruno.ariano/TileDB-sumstat/work/3f/d527ebb95a5377d270b37caf32f46e] +Nov-11 13:52:47.725 [Task monitor] DEBUG n.processor.TaskPollingMonitor - !! executor local > tasks to be completed: 1 -- submitted tasks are shown below +~> TaskHandler[id: 2; name: EXPORT_SNP (2); status: RUNNING; exit: -; error: -; workDir: /group/soranzo/bruno.ariano/TileDB-sumstat/work/86/0d54325ece0958e42aa25bc6318f6f] +Nov-11 13:52:48.194 [Task submitter] DEBUG n.processor.TaskPollingMonitor - %% executor local > tasks in the submission queue: 1 -- tasks to be submitted are shown below +~> TaskHandler[id: 1; name: EXPORT_SNP (1); status: NEW; exit: -; error: -; workDir: /group/soranzo/bruno.ariano/TileDB-sumstat/work/3f/d527ebb95a5377d270b37caf32f46e] +Nov-11 13:57:47.752 [Task monitor] DEBUG n.processor.TaskPollingMonitor - !! executor local > tasks to be completed: 1 -- submitted tasks are shown below +~> TaskHandler[id: 2; name: EXPORT_SNP (2); status: RUNNING; exit: -; error: -; workDir: /group/soranzo/bruno.ariano/TileDB-sumstat/work/86/0d54325ece0958e42aa25bc6318f6f] +Nov-11 13:57:48.270 [Task submitter] DEBUG n.processor.TaskPollingMonitor - %% executor local > tasks in the submission queue: 1 -- tasks to be submitted are shown below +~> TaskHandler[id: 1; name: EXPORT_SNP (1); status: NEW; exit: -; error: -; workDir: /group/soranzo/bruno.ariano/TileDB-sumstat/work/3f/d527ebb95a5377d270b37caf32f46e] +Nov-11 14:02:47.769 [Task monitor] DEBUG n.processor.TaskPollingMonitor - !! executor local > tasks to be completed: 1 -- submitted tasks are shown below +~> TaskHandler[id: 2; name: EXPORT_SNP (2); status: RUNNING; exit: -; error: -; workDir: /group/soranzo/bruno.ariano/TileDB-sumstat/work/86/0d54325ece0958e42aa25bc6318f6f] +Nov-11 14:02:48.355 [Task submitter] DEBUG n.processor.TaskPollingMonitor - %% executor local > tasks in the submission queue: 1 -- tasks to be submitted are shown below +~> TaskHandler[id: 1; name: EXPORT_SNP (1); status: NEW; exit: -; error: -; workDir: /group/soranzo/bruno.ariano/TileDB-sumstat/work/3f/d527ebb95a5377d270b37caf32f46e] +Nov-11 14:07:47.819 [Task monitor] DEBUG n.processor.TaskPollingMonitor - !! executor local > tasks to be completed: 1 -- submitted tasks are shown below +~> TaskHandler[id: 2; name: EXPORT_SNP (2); status: RUNNING; exit: -; error: -; workDir: /group/soranzo/bruno.ariano/TileDB-sumstat/work/86/0d54325ece0958e42aa25bc6318f6f] +Nov-11 14:07:48.427 [Task submitter] DEBUG n.processor.TaskPollingMonitor - %% executor local > tasks in the submission queue: 1 -- tasks to be submitted are shown below +~> TaskHandler[id: 1; name: EXPORT_SNP (1); status: NEW; exit: -; error: -; workDir: /group/soranzo/bruno.ariano/TileDB-sumstat/work/3f/d527ebb95a5377d270b37caf32f46e] +Nov-11 14:12:47.874 [Task monitor] DEBUG n.processor.TaskPollingMonitor - !! executor local > tasks to be completed: 1 -- submitted tasks are shown below +~> TaskHandler[id: 2; name: EXPORT_SNP (2); status: RUNNING; exit: -; error: -; workDir: /group/soranzo/bruno.ariano/TileDB-sumstat/work/86/0d54325ece0958e42aa25bc6318f6f] +Nov-11 14:12:48.507 [Task submitter] DEBUG n.processor.TaskPollingMonitor - %% executor local > tasks in the submission queue: 1 -- tasks to be submitted are shown below +~> TaskHandler[id: 1; name: EXPORT_SNP (1); status: NEW; exit: -; error: -; workDir: /group/soranzo/bruno.ariano/TileDB-sumstat/work/3f/d527ebb95a5377d270b37caf32f46e] +Nov-11 14:16:47.369 [Task monitor] DEBUG n.processor.TaskPollingMonitor - Task completed > TaskHandler[id: 2; name: EXPORT_SNP (2); status: COMPLETED; exit: 0; error: -; workDir: /group/soranzo/bruno.ariano/TileDB-sumstat/work/86/0d54325ece0958e42aa25bc6318f6f] +Nov-11 14:16:47.371 [Task monitor] DEBUG nextflow.util.ThreadPoolBuilder - Creating thread pool 'TaskFinalizer' minSize=10; maxSize=24; workQueue=LinkedBlockingQueue[-1]; allowCoreThreadTimeout=false +Nov-11 14:16:47.388 [Task submitter] DEBUG n.executor.local.LocalTaskHandler - Launch cmd line: /bin/bash -ue .command.run +Nov-11 14:16:47.388 [Task submitter] INFO nextflow.Session - [3f/d527eb] Submitted process > EXPORT_SNP (1) +Nov-11 14:16:47.411 [TaskFinalizer-1] DEBUG nextflow.util.ThreadPoolBuilder - Creating thread pool 'PublishDir' minSize=10; maxSize=24; workQueue=LinkedBlockingQueue[-1]; allowCoreThreadTimeout=false +Nov-11 14:17:47.930 [Task monitor] DEBUG n.processor.TaskPollingMonitor - !! executor local > tasks to be completed: 1 -- submitted tasks are shown below +~> TaskHandler[id: 1; name: EXPORT_SNP (1); status: RUNNING; exit: -; error: -; workDir: /group/soranzo/bruno.ariano/TileDB-sumstat/work/3f/d527ebb95a5377d270b37caf32f46e] +Nov-11 14:22:47.956 [Task monitor] DEBUG n.processor.TaskPollingMonitor - !! executor local > tasks to be completed: 1 -- submitted tasks are shown below +~> TaskHandler[id: 1; name: EXPORT_SNP (1); status: RUNNING; exit: -; error: -; workDir: /group/soranzo/bruno.ariano/TileDB-sumstat/work/3f/d527ebb95a5377d270b37caf32f46e] +Nov-11 14:27:48.042 [Task monitor] DEBUG n.processor.TaskPollingMonitor - !! executor local > tasks to be completed: 1 -- submitted tasks are shown below +~> TaskHandler[id: 1; name: EXPORT_SNP (1); status: RUNNING; exit: -; error: -; workDir: /group/soranzo/bruno.ariano/TileDB-sumstat/work/3f/d527ebb95a5377d270b37caf32f46e] +Nov-11 14:32:48.123 [Task monitor] DEBUG n.processor.TaskPollingMonitor - !! executor local > tasks to be completed: 1 -- submitted tasks are shown below +~> TaskHandler[id: 1; name: EXPORT_SNP (1); status: RUNNING; exit: -; error: -; workDir: /group/soranzo/bruno.ariano/TileDB-sumstat/work/3f/d527ebb95a5377d270b37caf32f46e] +Nov-11 14:37:48.124 [Task monitor] DEBUG n.processor.TaskPollingMonitor - !! executor local > tasks to be completed: 1 -- submitted tasks are shown below +~> TaskHandler[id: 1; name: EXPORT_SNP (1); status: RUNNING; exit: -; error: -; workDir: /group/soranzo/bruno.ariano/TileDB-sumstat/work/3f/d527ebb95a5377d270b37caf32f46e] +Nov-11 14:42:48.168 [Task monitor] DEBUG n.processor.TaskPollingMonitor - !! executor local > tasks to be completed: 1 -- submitted tasks are shown below +~> TaskHandler[id: 1; name: EXPORT_SNP (1); status: RUNNING; exit: -; error: -; workDir: /group/soranzo/bruno.ariano/TileDB-sumstat/work/3f/d527ebb95a5377d270b37caf32f46e] +Nov-11 14:47:48.181 [Task monitor] DEBUG n.processor.TaskPollingMonitor - !! executor local > tasks to be completed: 1 -- submitted tasks are shown below +~> TaskHandler[id: 1; name: EXPORT_SNP (1); status: RUNNING; exit: -; error: -; workDir: /group/soranzo/bruno.ariano/TileDB-sumstat/work/3f/d527ebb95a5377d270b37caf32f46e] +Nov-11 14:52:48.224 [Task monitor] DEBUG n.processor.TaskPollingMonitor - !! executor local > tasks to be completed: 1 -- submitted tasks are shown below +~> TaskHandler[id: 1; name: EXPORT_SNP (1); status: RUNNING; exit: -; error: -; workDir: /group/soranzo/bruno.ariano/TileDB-sumstat/work/3f/d527ebb95a5377d270b37caf32f46e] +Nov-11 14:57:48.282 [Task monitor] DEBUG n.processor.TaskPollingMonitor - !! executor local > tasks to be completed: 1 -- submitted tasks are shown below +~> TaskHandler[id: 1; name: EXPORT_SNP (1); status: RUNNING; exit: -; error: -; workDir: /group/soranzo/bruno.ariano/TileDB-sumstat/work/3f/d527ebb95a5377d270b37caf32f46e] +Nov-11 14:58:32.117 [Task monitor] DEBUG n.processor.TaskPollingMonitor - Task completed > TaskHandler[id: 1; name: EXPORT_SNP (1); status: COMPLETED; exit: 0; error: -; workDir: /group/soranzo/bruno.ariano/TileDB-sumstat/work/3f/d527ebb95a5377d270b37caf32f46e] +Nov-11 14:58:32.158 [main] DEBUG nextflow.Session - Session await > all processes finished +Nov-11 14:58:32.218 [Task monitor] DEBUG n.processor.TaskPollingMonitor - <<< barrier arrives (monitor: local) - terminating tasks monitor poll loop +Nov-11 14:58:32.218 [main] DEBUG nextflow.Session - Session await > all barriers passed +Nov-11 14:58:32.264 [main] DEBUG nextflow.util.ThreadPoolManager - Thread pool 'TaskFinalizer' shutdown completed (hard=false) +Nov-11 14:58:32.264 [main] DEBUG nextflow.util.ThreadPoolManager - Thread pool 'PublishDir' shutdown completed (hard=false) +Nov-11 14:58:32.296 [main] DEBUG n.trace.WorkflowStatsObserver - Workflow completed > WorkflowStats[succeededCount=2; failedCount=0; ignoredCount=0; cachedCount=0; pendingCount=0; submittedCount=0; runningCount=0; retriesCount=0; abortedCount=0; succeedDuration=8h 3m 24s; failedDuration=0ms; cachedDuration=0ms;loadCpus=0; loadMemory=0; peakRunning=1; peakCpus=6; peakMemory=30 GB; ] +Nov-11 14:58:32.296 [main] DEBUG nextflow.trace.TraceFileObserver - Workflow completed -- saving trace file +Nov-11 14:58:32.299 [main] DEBUG nextflow.trace.ReportObserver - Workflow completed -- rendering execution report +Nov-11 14:58:33.115 [main] DEBUG nextflow.trace.TimelineObserver - Workflow completed -- rendering execution timeline +Nov-11 14:58:33.498 [main] DEBUG nextflow.cache.CacheDB - Closing CacheDB done +Nov-11 14:58:33.564 [main] DEBUG nextflow.util.ThreadPoolManager - Thread pool 'FileTransfer' shutdown completed (hard=false) +Nov-11 14:58:33.565 [main] DEBUG nextflow.script.ScriptRunner - > Execution complete -- Goodbye diff --git a/.nextflow.log.6 b/.nextflow.log.6 new file mode 100644 index 0000000..d371dbd --- /dev/null +++ b/.nextflow.log.6 @@ -0,0 +1,89 @@ +Nov-11 13:27:16.677 [main] DEBUG nextflow.cli.Launcher - $> nextflow run main.nf -profile test_export_snp,conda -resume +Nov-11 13:27:16.987 [main] DEBUG nextflow.cli.CmdRun - N E X T F L O W ~ version 25.04.3 +Nov-11 13:27:17.111 [main] DEBUG nextflow.plugin.PluginsFacade - Setting up plugin manager > mode=prod; embedded=false; plugins-dir=/home/bruno.ariano/.nextflow/plugins; core-plugins: nf-amazon@2.15.0,nf-azure@1.16.0,nf-cloudcache@0.4.3,nf-codecommit@0.2.3,nf-console@1.2.1,nf-google@1.21.0,nf-k8s@1.0.0,nf-tower@1.11.3,nf-wave@1.12.1 +Nov-11 13:27:17.234 [main] INFO o.pf4j.DefaultPluginStatusProvider - Enabled plugins: [] +Nov-11 13:27:17.236 [main] INFO o.pf4j.DefaultPluginStatusProvider - Disabled plugins: [] +Nov-11 13:27:17.238 [main] INFO org.pf4j.DefaultPluginManager - PF4J version 3.12.0 in 'deployment' mode +Nov-11 13:27:17.273 [main] INFO org.pf4j.AbstractPluginManager - No plugins +Nov-11 13:27:17.295 [main] DEBUG nextflow.config.ConfigBuilder - Found config local: /group/soranzo/bruno.ariano/TileDB-sumstat/nextflow.config +Nov-11 13:27:17.298 [main] DEBUG nextflow.config.ConfigBuilder - Parsing config file: /group/soranzo/bruno.ariano/TileDB-sumstat/nextflow.config +Nov-11 13:27:17.399 [main] DEBUG n.secret.LocalSecretsProvider - Secrets store: /home/bruno.ariano/.nextflow/secrets/store.json +Nov-11 13:27:17.404 [main] DEBUG nextflow.secret.SecretsLoader - Discovered secrets providers: [nextflow.secret.LocalSecretsProvider@64e1dd11] - activable => nextflow.secret.LocalSecretsProvider@64e1dd11 +Nov-11 13:27:17.412 [main] DEBUG nextflow.config.ConfigBuilder - Applying config profile: `test_export_snp,conda` +Nov-11 13:27:18.409 [main] DEBUG nextflow.config.ConfigBuilder - Available config profiles: [shifter, test, mamba, test_export_snp, charliecloud, apptainer, conda, test_export_lb, singularity, wave, docker, podman] +Nov-11 13:27:18.453 [main] DEBUG nextflow.cli.CmdRun - Applied DSL=2 by global default +Nov-11 13:27:18.492 [main] DEBUG nextflow.cli.CmdRun - Launching `main.nf` [pensive_albattani] DSL2 - revision: c230c78a2a +Nov-11 13:27:18.493 [main] DEBUG nextflow.plugin.PluginsFacade - Plugins default=[] +Nov-11 13:27:18.494 [main] DEBUG nextflow.plugin.PluginsFacade - Plugins resolved requirement=[] +Nov-11 13:27:18.614 [main] DEBUG nextflow.Session - Session UUID: ffc96fd0-b329-4d33-9995-1a2245acc807 +Nov-11 13:27:18.615 [main] DEBUG nextflow.Session - Run name: pensive_albattani +Nov-11 13:27:18.615 [main] DEBUG nextflow.Session - Executor pool size: 8 +Nov-11 13:27:18.636 [main] DEBUG nextflow.file.FilePorter - File porter settings maxRetries=3; maxTransfers=50; pollTimeout=null +Nov-11 13:27:18.642 [main] DEBUG nextflow.util.ThreadPoolBuilder - Creating thread pool 'FileTransfer' minSize=10; maxSize=24; workQueue=LinkedBlockingQueue[-1]; allowCoreThreadTimeout=false +Nov-11 13:27:18.940 [main] DEBUG nextflow.cli.CmdRun - + Version: 25.04.3 build 5949 + Created: 02-06-2025 20:56 UTC (22:56 CEST) + System: Linux 4.18.0-477.13.1.el8_8.x86_64 + Runtime: Groovy 4.0.26 on OpenJDK 64-Bit Server VM 17.0.8.1+1 + Encoding: UTF-8 (UTF-8) + Process: 2574510@cnode15 [192.168.104.115] + CPUs: 8 - Mem: 60 GB (59.7 GB) - Swap: 0 (0) +Nov-11 13:27:19.000 [main] DEBUG nextflow.Session - Work-dir: /group/soranzo/bruno.ariano/TileDB-sumstat/work [nfs] +Nov-11 13:27:19.001 [main] DEBUG nextflow.Session - Script base path does not exist or is not a directory: /group/soranzo/bruno.ariano/TileDB-sumstat/bin +Nov-11 13:27:19.037 [main] DEBUG nextflow.executor.ExecutorFactory - Extension executors providers=[] +Nov-11 13:27:19.048 [main] DEBUG nextflow.Session - Observer factory: DefaultObserverFactory +Nov-11 13:27:19.072 [main] DEBUG nextflow.Session - Observer factory (v2): LinObserverFactory +Nov-11 13:27:19.098 [main] DEBUG nextflow.cache.CacheFactory - Using Nextflow cache factory: nextflow.cache.DefaultCacheFactory +Nov-11 13:27:19.111 [main] DEBUG nextflow.util.CustomThreadPool - Creating default thread pool > poolSize: 9; maxThreads: 1000 +Nov-11 13:27:19.332 [main] DEBUG nextflow.Session - Session start +Nov-11 13:27:19.336 [main] DEBUG nextflow.trace.TraceFileObserver - Workflow started -- trace file: /group/soranzo/bruno.ariano/TileDB-sumstat/results/pipeline_info/execution_trace_2025-11-11_13-27-18.txt +Nov-11 13:27:19.598 [main] DEBUG nextflow.script.ScriptRunner - > Launching execution +Nov-11 13:27:20.091 [main] DEBUG nextflow.script.ProcessConfig - Config settings `withLabel:process_multi` matches labels `process_multi` for process with name EXPORT_SNP +Nov-11 13:27:20.101 [main] DEBUG nextflow.executor.ExecutorFactory - << taskConfig executor: null +Nov-11 13:27:20.101 [main] DEBUG nextflow.executor.ExecutorFactory - >> processorType: 'local' +Nov-11 13:27:20.107 [main] DEBUG nextflow.executor.Executor - [warm up] executor > local +Nov-11 13:27:20.114 [main] DEBUG n.processor.LocalPollingMonitor - Creating local task monitor for executor 'local' > cpus=8; memory=60 GB; capacity=8; pollInterval=100ms; dumpInterval=5m +Nov-11 13:27:20.116 [main] DEBUG n.processor.TaskPollingMonitor - >>> barrier register (monitor: local) +Nov-11 13:27:20.138 [main] DEBUG nextflow.processor.TaskProcessor - Creating process 'EXPORT_SNP': maxForks=0; fair=false; array=0 +Nov-11 13:27:20.172 [main] DEBUG nextflow.Session - Workflow process names [dsl2]: EXPORT_LOCUSBREAKER, MERGE_METADATA, EXPORT_REGIONS, EXPORT_SNP, CREATE_TILEDB, INGEST_DATA +Nov-11 13:27:20.174 [main] DEBUG nextflow.Session - Igniting dataflow network (2) +Nov-11 13:27:20.179 [main] DEBUG nextflow.processor.TaskProcessor - Starting process > EXPORT_SNP +Nov-11 13:27:20.180 [main] DEBUG nextflow.script.ScriptRunner - Parsed script files: + Script_7b14281b3e71c830: /group/soranzo/bruno.ariano/TileDB-sumstat/modules/merge_metadata/main.nf + Script_f79ff21670d5e55f: /group/soranzo/bruno.ariano/TileDB-sumstat/modules/regions/main.nf + Script_fa94f925e889eb3d: /group/soranzo/bruno.ariano/TileDB-sumstat/modules/create_tiledb/main.nf + Script_407064212709c912: /group/soranzo/bruno.ariano/TileDB-sumstat/main.nf + Script_9642d9956a1c233a: /group/soranzo/bruno.ariano/TileDB-sumstat/modules/ingestion/main.nf + Script_db897bc2c0454a54: /group/soranzo/bruno.ariano/TileDB-sumstat/modules/snp/main.nf + Script_aef310e1ce2070d7: /group/soranzo/bruno.ariano/TileDB-sumstat/modules/locusbreaker/main.nf +Nov-11 13:27:20.180 [main] DEBUG nextflow.script.ScriptRunner - > Awaiting termination +Nov-11 13:27:20.180 [main] DEBUG nextflow.Session - Session await +Nov-11 13:27:20.192 [Actor Thread 6] DEBUG n.splitter.AbstractTextSplitter - Splitter `Text` collector path: nextflow.splitter.TextFileCollector$CachePath(/group/soranzo/bruno.ariano/TileDB-sumstat/work/c4/fe4f5621b081106b70422ad3063320/snps_ale.csv, null) +Nov-11 13:27:20.244 [Actor Thread 6] DEBUG nextflow.splitter.AbstractSplitter - Operator `Text` reusing cached chunks at path: /group/soranzo/bruno.ariano/TileDB-sumstat/work/c4/fe4f5621b081106b70422ad3063320/snps_ale.csv +Nov-11 13:27:20.353 [Actor Thread 7] DEBUG nextflow.conda.CondaCache - conda found local env for environment=/ssu/gassu/conda_envs/scqtl; path=/ssu/gassu/conda_envs/scqtl +Nov-11 13:27:20.425 [Actor Thread 6] INFO nextflow.processor.TaskProcessor - [28/cc4890] Cached process > EXPORT_SNP (2) +Nov-11 13:27:20.425 [Actor Thread 3] INFO nextflow.processor.TaskProcessor - [2a/fb2f83] Cached process > EXPORT_SNP (5) +Nov-11 13:27:20.461 [Actor Thread 6] DEBUG nextflow.util.ThreadPoolBuilder - Creating thread pool 'PublishDir' minSize=10; maxSize=24; workQueue=LinkedBlockingQueue[-1]; allowCoreThreadTimeout=false +Nov-11 13:27:20.468 [Task submitter] DEBUG n.executor.local.LocalTaskHandler - Launch cmd line: /bin/bash -ue .command.run +Nov-11 13:27:20.469 [Task submitter] INFO nextflow.Session - [40/910996] Submitted process > EXPORT_SNP (6) +Nov-11 13:32:20.266 [Task monitor] DEBUG n.processor.TaskPollingMonitor - !! executor local > tasks to be completed: 1 -- submitted tasks are shown below +~> TaskHandler[id: 6; name: EXPORT_SNP (6); status: RUNNING; exit: -; error: -; workDir: /group/soranzo/bruno.ariano/TileDB-sumstat/work/40/9109961d16707b319e77f3d5b79994] +Nov-11 13:32:20.590 [Task submitter] DEBUG n.processor.TaskPollingMonitor - %% executor local > tasks in the submission queue: 4 -- tasks to be submitted are shown below +~> TaskHandler[id: 7; name: EXPORT_SNP (7); status: NEW; exit: -; error: -; workDir: /group/soranzo/bruno.ariano/TileDB-sumstat/work/51/c64f01ad07f6303a8cf68ed1956971] +~> TaskHandler[id: 1; name: EXPORT_SNP (1); status: NEW; exit: -; error: -; workDir: /group/soranzo/bruno.ariano/TileDB-sumstat/work/28/91197b28b4074d0ab813ca58812f41] +~> TaskHandler[id: 3; name: EXPORT_SNP (3); status: NEW; exit: -; error: -; workDir: /group/soranzo/bruno.ariano/TileDB-sumstat/work/76/1cc25d6b0d2ed28bbc0ee62e3d0e8b] +~> TaskHandler[id: 4; name: EXPORT_SNP (4); status: NEW; exit: -; error: -; workDir: /group/soranzo/bruno.ariano/TileDB-sumstat/work/3b/9133336ea90b318aabdd0fd3f2530c] +Nov-11 13:34:46.227 [SIGINT handler] DEBUG nextflow.Session - Session aborted -- Cause: SIGINT +Nov-11 13:34:46.228 [Task monitor] DEBUG n.processor.TaskPollingMonitor - Task completed > TaskHandler[id: 6; name: EXPORT_SNP (6); status: COMPLETED; exit: 130; error: -; workDir: /group/soranzo/bruno.ariano/TileDB-sumstat/work/40/9109961d16707b319e77f3d5b79994] +Nov-11 13:34:46.229 [Task monitor] DEBUG nextflow.util.ThreadPoolBuilder - Creating thread pool 'TaskFinalizer' minSize=10; maxSize=24; workQueue=LinkedBlockingQueue[-1]; allowCoreThreadTimeout=false +Nov-11 13:34:46.231 [Task monitor] DEBUG n.processor.TaskPollingMonitor - <<< barrier arrives (monitor: local) - terminating tasks monitor poll loop +Nov-11 13:34:46.239 [TaskFinalizer-1] DEBUG nextflow.processor.TaskProcessor - Handling unexpected condition for + task: name=EXPORT_SNP (6); work-dir=/group/soranzo/bruno.ariano/TileDB-sumstat/work/40/9109961d16707b319e77f3d5b79994 + error [nextflow.exception.ProcessFailedException]: Process `EXPORT_SNP (6)` terminated with an error exit status (130) +Nov-11 13:34:46.243 [main] DEBUG nextflow.Session - Session await > all processes finished +Nov-11 13:34:46.243 [main] DEBUG nextflow.Session - Session await > all barriers passed +Nov-11 13:34:46.249 [main] DEBUG n.trace.WorkflowStatsObserver - Workflow completed > WorkflowStats[succeededCount=0; failedCount=0; ignoredCount=0; cachedCount=2; pendingCount=4; submittedCount=0; runningCount=1; retriesCount=0; abortedCount=0; succeedDuration=0ms; failedDuration=0ms; cachedDuration=3h 3m 42s;loadCpus=6; loadMemory=30 GB; peakRunning=1; peakCpus=6; peakMemory=30 GB; ] +Nov-11 13:34:46.249 [main] DEBUG nextflow.trace.TraceFileObserver - Workflow completed -- saving trace file +Nov-11 13:34:46.249 [TaskFinalizer-1] INFO nextflow.processor.TaskProcessor - [40/910996] NOTE: Process `EXPORT_SNP (6)` terminated with an error exit status (130) -- Execution is retried (1) +Nov-11 13:34:46.253 [main] DEBUG nextflow.trace.ReportObserver - Workflow completed -- rendering execution report +Nov-11 13:34:46.713 [SIGINT handler] INFO nextflow.Session - Adieu diff --git a/.nextflow.log.7 b/.nextflow.log.7 new file mode 100644 index 0000000..94a0979 --- /dev/null +++ b/.nextflow.log.7 @@ -0,0 +1,75 @@ +Nov-11 13:16:26.022 [main] DEBUG nextflow.cli.Launcher - $> nextflow run main.nf -profile test_export_snp,conda -resume +Nov-11 13:16:26.226 [main] DEBUG nextflow.cli.CmdRun - N E X T F L O W ~ version 25.04.3 +Nov-11 13:16:26.331 [main] DEBUG nextflow.plugin.PluginsFacade - Setting up plugin manager > mode=prod; embedded=false; plugins-dir=/home/bruno.ariano/.nextflow/plugins; core-plugins: nf-amazon@2.15.0,nf-azure@1.16.0,nf-cloudcache@0.4.3,nf-codecommit@0.2.3,nf-console@1.2.1,nf-google@1.21.0,nf-k8s@1.0.0,nf-tower@1.11.3,nf-wave@1.12.1 +Nov-11 13:16:26.365 [main] INFO o.pf4j.DefaultPluginStatusProvider - Enabled plugins: [] +Nov-11 13:16:26.366 [main] INFO o.pf4j.DefaultPluginStatusProvider - Disabled plugins: [] +Nov-11 13:16:26.369 [main] INFO org.pf4j.DefaultPluginManager - PF4J version 3.12.0 in 'deployment' mode +Nov-11 13:16:26.394 [main] INFO org.pf4j.AbstractPluginManager - No plugins +Nov-11 13:16:26.433 [main] DEBUG nextflow.config.ConfigBuilder - Found config local: /group/soranzo/bruno.ariano/TileDB-sumstat/nextflow.config +Nov-11 13:16:26.436 [main] DEBUG nextflow.config.ConfigBuilder - Parsing config file: /group/soranzo/bruno.ariano/TileDB-sumstat/nextflow.config +Nov-11 13:16:26.549 [main] DEBUG n.secret.LocalSecretsProvider - Secrets store: /home/bruno.ariano/.nextflow/secrets/store.json +Nov-11 13:16:26.553 [main] DEBUG nextflow.secret.SecretsLoader - Discovered secrets providers: [nextflow.secret.LocalSecretsProvider@64e1dd11] - activable => nextflow.secret.LocalSecretsProvider@64e1dd11 +Nov-11 13:16:26.560 [main] DEBUG nextflow.config.ConfigBuilder - Applying config profile: `test_export_snp,conda` +Nov-11 13:16:27.743 [main] DEBUG nextflow.config.ConfigBuilder - Available config profiles: [shifter, test, mamba, test_export_snp, charliecloud, apptainer, conda, test_export_lb, singularity, wave, docker, podman] +Nov-11 13:16:27.798 [main] DEBUG nextflow.cli.CmdRun - Applied DSL=2 by global default +Nov-11 13:16:27.891 [main] DEBUG nextflow.cli.CmdRun - Launching `main.nf` [admiring_shaw] DSL2 - revision: c230c78a2a +Nov-11 13:16:27.892 [main] DEBUG nextflow.plugin.PluginsFacade - Plugins default=[] +Nov-11 13:16:27.892 [main] DEBUG nextflow.plugin.PluginsFacade - Plugins resolved requirement=[] +Nov-11 13:16:28.158 [main] DEBUG nextflow.Session - Session UUID: ffc96fd0-b329-4d33-9995-1a2245acc807 +Nov-11 13:16:28.159 [main] DEBUG nextflow.Session - Run name: admiring_shaw +Nov-11 13:16:28.159 [main] DEBUG nextflow.Session - Executor pool size: 8 +Nov-11 13:16:28.180 [main] DEBUG nextflow.file.FilePorter - File porter settings maxRetries=3; maxTransfers=50; pollTimeout=null +Nov-11 13:16:28.185 [main] DEBUG nextflow.util.ThreadPoolBuilder - Creating thread pool 'FileTransfer' minSize=10; maxSize=24; workQueue=LinkedBlockingQueue[-1]; allowCoreThreadTimeout=false +Nov-11 13:16:28.224 [main] DEBUG nextflow.cli.CmdRun - + Version: 25.04.3 build 5949 + Created: 02-06-2025 20:56 UTC (22:56 CEST) + System: Linux 4.18.0-477.13.1.el8_8.x86_64 + Runtime: Groovy 4.0.26 on OpenJDK 64-Bit Server VM 17.0.8.1+1 + Encoding: UTF-8 (UTF-8) + Process: 2428349@cnode15 [192.168.104.115] + CPUs: 8 - Mem: 60 GB (59.7 GB) - Swap: 0 (0) +Nov-11 13:16:28.272 [main] DEBUG nextflow.Session - Work-dir: /group/soranzo/bruno.ariano/TileDB-sumstat/work [nfs] +Nov-11 13:16:28.273 [main] DEBUG nextflow.Session - Script base path does not exist or is not a directory: /group/soranzo/bruno.ariano/TileDB-sumstat/bin +Nov-11 13:16:28.316 [main] DEBUG nextflow.executor.ExecutorFactory - Extension executors providers=[] +Nov-11 13:16:28.327 [main] DEBUG nextflow.Session - Observer factory: DefaultObserverFactory +Nov-11 13:16:28.351 [main] DEBUG nextflow.Session - Observer factory (v2): LinObserverFactory +Nov-11 13:16:28.377 [main] DEBUG nextflow.cache.CacheFactory - Using Nextflow cache factory: nextflow.cache.DefaultCacheFactory +Nov-11 13:16:28.407 [main] DEBUG nextflow.util.CustomThreadPool - Creating default thread pool > poolSize: 9; maxThreads: 1000 +Nov-11 13:16:28.895 [main] DEBUG nextflow.Session - Session start +Nov-11 13:16:28.898 [main] DEBUG nextflow.trace.TraceFileObserver - Workflow started -- trace file: /group/soranzo/bruno.ariano/TileDB-sumstat/results/pipeline_info/execution_trace_2025-11-11_13-16-27.txt +Nov-11 13:16:29.135 [main] DEBUG nextflow.script.ScriptRunner - > Launching execution +Nov-11 13:16:29.642 [main] DEBUG nextflow.script.ProcessConfig - Config settings `withLabel:process_multi` matches labels `process_multi` for process with name EXPORT_SNP +Nov-11 13:16:29.651 [main] DEBUG nextflow.executor.ExecutorFactory - << taskConfig executor: null +Nov-11 13:16:29.652 [main] DEBUG nextflow.executor.ExecutorFactory - >> processorType: 'local' +Nov-11 13:16:29.657 [main] DEBUG nextflow.executor.Executor - [warm up] executor > local +Nov-11 13:16:29.664 [main] DEBUG n.processor.LocalPollingMonitor - Creating local task monitor for executor 'local' > cpus=8; memory=60 GB; capacity=8; pollInterval=100ms; dumpInterval=5m +Nov-11 13:16:29.667 [main] DEBUG n.processor.TaskPollingMonitor - >>> barrier register (monitor: local) +Nov-11 13:16:29.687 [main] DEBUG nextflow.processor.TaskProcessor - Creating process 'EXPORT_SNP': maxForks=0; fair=false; array=0 +Nov-11 13:16:29.716 [main] DEBUG nextflow.Session - Workflow process names [dsl2]: EXPORT_LOCUSBREAKER, MERGE_METADATA, EXPORT_REGIONS, INGEST_DATA, CREATE_TILEDB, EXPORT_SNP +Nov-11 13:16:29.718 [main] DEBUG nextflow.Session - Igniting dataflow network (2) +Nov-11 13:16:29.723 [main] DEBUG nextflow.processor.TaskProcessor - Starting process > EXPORT_SNP +Nov-11 13:16:29.724 [main] DEBUG nextflow.script.ScriptRunner - Parsed script files: + Script_7b14281b3e71c830: /group/soranzo/bruno.ariano/TileDB-sumstat/modules/merge_metadata/main.nf + Script_f79ff21670d5e55f: /group/soranzo/bruno.ariano/TileDB-sumstat/modules/regions/main.nf + Script_fa94f925e889eb3d: /group/soranzo/bruno.ariano/TileDB-sumstat/modules/create_tiledb/main.nf + Script_9642d9956a1c233a: /group/soranzo/bruno.ariano/TileDB-sumstat/modules/ingestion/main.nf + Script_407064212709c912: /group/soranzo/bruno.ariano/TileDB-sumstat/main.nf + Script_aef310e1ce2070d7: /group/soranzo/bruno.ariano/TileDB-sumstat/modules/locusbreaker/main.nf + Script_db897bc2c0454a54: /group/soranzo/bruno.ariano/TileDB-sumstat/modules/snp/main.nf +Nov-11 13:16:29.724 [main] DEBUG nextflow.script.ScriptRunner - > Awaiting termination +Nov-11 13:16:29.724 [main] DEBUG nextflow.Session - Session await +Nov-11 13:16:29.736 [Actor Thread 6] DEBUG n.splitter.AbstractTextSplitter - Splitter `Text` collector path: nextflow.splitter.TextFileCollector$CachePath(/group/soranzo/bruno.ariano/TileDB-sumstat/work/c4/fe4f5621b081106b70422ad3063320/snps_ale.csv, null) +Nov-11 13:16:29.800 [Actor Thread 6] DEBUG nextflow.splitter.AbstractSplitter - Operator `Text` reusing cached chunks at path: /group/soranzo/bruno.ariano/TileDB-sumstat/work/c4/fe4f5621b081106b70422ad3063320/snps_ale.csv +Nov-11 13:16:29.901 [Actor Thread 3] DEBUG nextflow.conda.CondaCache - conda found local env for environment=/ssu/gassu/conda_envs/scqtl; path=/ssu/gassu/conda_envs/scqtl +Nov-11 13:16:30.055 [Actor Thread 6] INFO nextflow.processor.TaskProcessor - [28/cc4890] Cached process > EXPORT_SNP (2) +Nov-11 13:16:30.076 [Actor Thread 7] INFO nextflow.processor.TaskProcessor - [2a/fb2f83] Cached process > EXPORT_SNP (5) +Nov-11 13:16:30.098 [Task submitter] DEBUG n.executor.local.LocalTaskHandler - Launch cmd line: /bin/bash -ue .command.run +Nov-11 13:16:30.100 [Actor Thread 6] DEBUG nextflow.util.ThreadPoolBuilder - Creating thread pool 'PublishDir' minSize=10; maxSize=24; workQueue=LinkedBlockingQueue[-1]; allowCoreThreadTimeout=false +Nov-11 13:16:30.100 [Task submitter] INFO nextflow.Session - [00/b64698] Submitted process > EXPORT_SNP (3) +Nov-11 13:21:29.819 [Task monitor] DEBUG n.processor.TaskPollingMonitor - !! executor local > tasks to be completed: 1 -- submitted tasks are shown below +~> TaskHandler[id: 3; name: EXPORT_SNP (3); status: RUNNING; exit: -; error: -; workDir: /group/soranzo/bruno.ariano/TileDB-sumstat/work/00/b6469894f279b0eba987b38017eb23] +Nov-11 13:21:30.238 [Task submitter] DEBUG n.processor.TaskPollingMonitor - %% executor local > tasks in the submission queue: 4 -- tasks to be submitted are shown below +~> TaskHandler[id: 4; name: EXPORT_SNP (4); 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-profile conda,test_export_snp +2025-10-28 13:42:15 1m 5s zen_laplace ERR c230c78a2a5b5bdedf08d1cc342ac5db 3e02481f-61d4-46f8-8bcd-b9554723b48b nextflow run main.nf -profile conda,test_export_snp +2025-10-28 13:45:10 57.5s focused_lumiere ERR c230c78a2a5b5bdedf08d1cc342ac5db 0bafcf9f-da31-4136-9763-e2cebd5a7132 nextflow run main.nf -profile conda,test_export_snp +2025-10-28 13:48:35 51s lethal_noether ERR c230c78a2a5b5bdedf08d1cc342ac5db 983e6a48-de9a-4766-a476-52ef0a627a8b nextflow run main.nf -profile conda,test_export_snp +2025-10-28 14:17:38 - goofy_torricelli - c230c78a2a5b5bdedf08d1cc342ac5db 476b79de-0b73-43aa-a89c-08bb779c035a nextflow run main.nf -profile conda,test_export_snp +2025-10-28 15:52:28 14m 43s intergalactic_almeida OK c230c78a2a5b5bdedf08d1cc342ac5db 476b79de-0b73-43aa-a89c-08bb779c035a nextflow run main.nf -profile conda,test_export_snp -resume +2025-11-11 11:58:37 - hopeful_turing - c230c78a2a5b5bdedf08d1cc342ac5db ffc96fd0-b329-4d33-9995-1a2245acc807 nextflow run main.nf -profile test_export_snp,conda +2025-11-11 13:16:28 - admiring_shaw - c230c78a2a5b5bdedf08d1cc342ac5db ffc96fd0-b329-4d33-9995-1a2245acc807 nextflow run main.nf -profile test_export_snp,conda -resume +2025-11-11 13:27:18 - pensive_albattani - c230c78a2a5b5bdedf08d1cc342ac5db ffc96fd0-b329-4d33-9995-1a2245acc807 nextflow run main.nf -profile test_export_snp,conda -resume +2025-11-11 13:37:46 1h 20m 48s magical_chandrasekhar OK c230c78a2a5b5bdedf08d1cc342ac5db 152176fb-984a-4b34-9930-16352766f3e6 nextflow run main.nf -profile test_export_snp,conda +2025-11-11 19:36:38 1m 1s distraught_cori ERR c230c78a2a5b5bdedf08d1cc342ac5db 369a006d-df35-43c4-af49-340766553168 nextflow run main.nf -profile test_export_snp,conda +2025-11-11 19:40:03 - drunk_stonebraker - c230c78a2a5b5bdedf08d1cc342ac5db fa42aa65-847f-4cb7-9022-43bfecc43e49 nextflow run main.nf -profile test_export_snp,conda +2025-11-11 19:41:12 3.1s infallible_solvay ERR c230c78a2a5b5bdedf08d1cc342ac5db df48cfc6-4d7f-40a3-8a61-15ab9aff4c98 nextflow run main.nf -profile test_export_snp,slurm_conda +2025-11-11 19:44:17 3m 47s distracted_ekeblad ERR c230c78a2a5b5bdedf08d1cc342ac5db ed068041-b1db-4f82-afa6-47c6950cf200 nextflow run main.nf -profile test_export_snp,slurm_conda +2025-11-11 19:48:46 24m 43s amazing_almeida OK c230c78a2a5b5bdedf08d1cc342ac5db afe12e5c-4035-4ddd-a6c8-6e2cb8c68e2c nextflow run main.nf -profile test_export_snp,slurm_conda diff --git a/README.md b/README.md index 556c100..641c47d 100755 --- a/README.md +++ b/README.md @@ -2,23 +2,18 @@ Screenshot 2024-11-17 at 20 47 08 -## This is a program for the ingestion and analysis of single cell QTL data using TileDB +## This is a program for the and analysis of single cell QTL and GWAS data using Nextflow and TileDB ### Description Welcome to TileDB-sumstat. This is a custom TileDB for singel cell QTL and GWAS data. Please have a look [here](https://github.com/HTGenomeAnalysisUnit/TileDB-sumstat/blob/main/CONTRIBUTING.md) on how to contribute to this repo. -## Additional link to help you get to know TileDB, Dask and Polars more +## Additional link to help you get to know TileDB more - [TileDB](https://tiledb.com/) -- [Dask](https://www.dask.org/) -- [Polars](https://pola.rs/) --- - -#### Note: When you add a new feature or modify an existing one please add it to the README guidelines [HERE](https://github.com/HTGenomeAnalysisUnit/TileDB-sumstat/blob/main/docs/README.md) - ## Installation To install this program run the following: @@ -33,3 +28,6 @@ make install ### Verify installation scqtl --help + +### For information about usage of the pipeline have a look here [HERE](https://github.com/HTGenomeAnalysisUnit/TileDB-sumstat/blob/main/docs/README) + diff --git a/conf/test.config b/conf/test.config index f52b62c..794f11c 100644 --- a/conf/test.config +++ b/conf/test.config @@ -28,7 +28,21 @@ profiles { locus_max_size_lb = 3000000 cis_trans_lb = "cis" table_lb = "${projectDir}/example_data/locusbreaker_test_table.csv" - batch_name_lb = null + batch_name = null + outdir = "./results" // Add this missing parameter + publish_dir_mode = 'copy' // Add this missing parameter + } + } + + test_export_snp { + params { + export = true + tiledb_path = "/project/cardinal/QTLs/freeze3/TileDBs/ukb_cis/TileDB_f3_UKB_cis_celltype2" + snp = "/group/soranzo/bruno.ariano/snps_ale.csv" + attrs = "SE,BETA" + out = "out" + type_sumstat = "qtl" + tiledb_batch_size = 500 outdir = "./results" // Add this missing parameter publish_dir_mode = 'copy' // Add this missing parameter } diff --git a/docs/README.md b/docs/README.md index b0f633e..5e6935a 100755 --- a/docs/README.md +++ b/docs/README.md @@ -1,7 +1,145 @@ -# TileDB for single cell analysis +# TileDB for summary statistics analysis -## Overall usage -This program works using. python on the Sanger cluster using the tiledb conda environment. This program consists of 2 main subcommands called ingestion and export. The ingestion is used in import new data into an existing or a new TileDB while the export can be used to query the data and export it in a txt file. This program makes also optionally use of Dask for accelerate the computation. To get a menu of the main parameters and commands available run a script like below. +## Nextflow usage +This pipeline consists of 2 main subcommands called ingestion and export. The ingestion is used in import new data into an existing or a new TileDB while the export can be used to query the data and export it in a txt file. This program makes also optionally use of Nextlfow for speed-up the computation. + +# Flanders : Finemapping coLocalization AND plEiotRopy Solver + +Flanders is a modular pipeline and toolkit for scalable **fine-mapping** and **colocalization** of genetic association signals across large scale datasets and multiple traits. +Implemented using **Nextflow** and mostly **R**, it separates computationally intensive fine-mapping from downstream colocalization to optimize reusability and performance. + +--- + +## ✅ Requirements +Before running the pipeline, ensure you have the following installed: + +- [Nextflow](https://www.nextflow.io/docs/latest/getstarted.html) (v24.04+) +- For environment management, one of: + - [Docker](https://www.docker.com/) + - [Singularity](https://docs.sylabs.io/guides/3.5/user-guide/introduction.html) + - [Conda](https://docs.conda.io/en/latest/) +
+ + +## ▶️ Running the pipeline +### Example: Fine-Mapping + Colocalization +```bash +nextflow run main.nf -r 1.0 -profile [docker|singularity|conda] --summarystats_input /path/to/input_table.tsv --run_colocalization true --finemap_id my_finemap_run --coloc_id my_coloc_run -w ./work -resume +``` + +### Example: Run Only Colocalization (with existing `.h5ad`) +```bash +nextflow run Biostatistics-Unit-HT/Flanders -r 1.0 -profile [docker|singularity|conda] --coloc_h5ad_input /path/to/finemapping_output.h5ad --run_colocalization true --coloc_id my_coloc_run -w ./work -resume +``` + +### Quick run with example dataset +```bash +nextflow run Biostatistics-Unit-HT/Flanders -r 1.0 -profile test,singularity -w ./work +``` +
+ +## 🧠 Pipeline overview +Flanders separates the fine-mapping and colocalization process into two distinct steps: +
+
+### Step 1: Fine-mapping + +#### Required Inputs + Input | Description | +|-------|-------------| +| [GWAS summary statistics](https://github.com/Biostatistics-Unit-HT/Flanders/wiki/Fine‐mapping-inputs#gwas-summary-statistics) | `.tsv`/`.csv` (optionally gzipped) | +| LD reference panel | PLINK-format reference panel (`.bed/.bim/.fam`) — preferably from the same sample population used in the GWAS | +| [Metadata and GWAS-specific parameters table](https://github.com/Biostatistics-Unit-HT/Flanders/wiki/Fine‐mapping-inputs#metadata-and-gwas-specific-parameters-table) | `.tsv` file listing GWAS summary statistics paths and trait-specific parameters | +
+ +#### Steps + +1. **Munging of GWAS summary statistics** + - Format harmonization and imputation of missing information (e.g. missing allele frequency calculated from the LD reference panel) + - Optional liftover to GRCh38 + - Optional restriction of analysis to enlisted chromosomes +
⚠️ In addition to autosomes, chromosomes **X** and **Y** are also accepted. + - Alphabetical ordering of alleles, ensuring the first one in alphabetical order is the effect allele (effect sizes and allele frequencies are flipped/inverted where needed) + - Conversion of SNP IDs to Flanders internal coding of `"chr"CHR:POS:EA:NEA` ***where EA is the first allele in alphabetical order*** +
⚠️ This differs from common REF/ALT conventions and allows for robust variants matching between multiple GWAS summary statistics and LD reference panel. +
+ +#### 2. Identification of significantly associated genomic regions + - Identifies genomic regions containing significant associated SNPs by employing `Locusbreaker`, an in-house developed algorithm which defines each association peak based on the distance between the end of a peak and the start of the next one. + +

+ +`Locusbreaker` first selects all SNPs below a given a p-value threshold (suggested value 1x10-6, customizable at the column `p_thresh2` of the [Metadata and GWAS-specific parameters table](https://github.com/Biostatistics-Unit-HT/Flanders/wiki/Fine‐mapping-inputs#metadata-and-gwas-specific-parameters-table)), identifying groups of SNPs positionally close to each other. +
If two consecutive SNPs are closer to each other than a set distance threshold (suggested value 250kb, customizable at the column `hole` of the [Metadata and GWAS-specific parameters table](https://github.com/Biostatistics-Unit-HT/Flanders/wiki/Fine‐mapping-inputs#metadata-and-gwas-specific-parameters-table)), they are grouped into the same locus, while if they are further apart than the distance threshold, they are used to define the boundaries between peaks. +
Loci with at least a significant SNPs (suggested value 5x10-8, customizable at the column `p_thresh1` of the [Metadata and GWAS-specific parameters table](https://github.com/Biostatistics-Unit-HT/Flanders/wiki/Fine‐mapping-inputs#metadata-and-gwas-specific-parameters-table)) are retained and their boundaries are enlarged by 100kb to fully capture the shape of the association peak. +
+ +
+ + +#### 3. Fine-Mapping with SuSiE-RSS + - For each genomic region, finemapping is performed using [SuSiE-RSS](https://stephenslab.github.io/susieR/reference/susie_rss.html) and LD calculated from input PLINK files +
⚠️ Whenever possible, in sample LD is strongly recommended (especially for molecular omic phenotypes where the explained variance can be very large). +
⚠️ Be aware that only SNPs in common between the GWAS summary statistics and the LD reference panel are taken into account for fine-mapping, while all other SNPs are discarded (loci for which no SNP overlap is found between the GWAS summary statistics and the LD reference panel are reported in [NOT_FINEMAPPED_no_variants_from_locus_in_LD_ref.tsv](https://github.com/Biostatistics-Unit-HT/Flanders/wiki/Fine%E2%80%90mapping-exceptions#not_finemapped_no_variants_from_locus_in_ld_reftsv)). +
⚠️ Be aware that **loci fully or partially overlapping the HLA region (GRCh38: chr6:28,510,120-33,480,577) are excluded from fine-mapping**. The HLA region is characterized by extremely high variant density, long-range linkage disequilibrium and complex haplotype patterns, which can bias statistical fine-mapping methods and reduce confidence in inferred causal variants. +
+ +#### 4. Saving fine-mapping results to AnnData object + - Log approximate Bayes factors (lABFs) and metadata for the 99% credible sets are stored in an [AnnData object](https://anndata.dynverse.org/index.html) (.h5ad). +
+
+ +### Step 2: Colocalization analysis + +#### Inputs +|Input | File description | +|------|------------------| +| [Fine-mapping AnnData](https://github.com/Biostatistics-Unit-HT/Flanders/wiki/csAnnData-specifications) | An `.h5ad` file containing lABFs and metadata of credible sets (output from the fine-mapping step) | +
+ +#### Steps + +#### 1. Generation of colocalization guide table +- Lists all pairs of credible sets that share at least one SNP (it is not possible for credible sets to colocalize without sharing at least a SNP). +
⚠️ If no credible sets share at least one SNP, no colocalization is performed and an empty guide table is produced. + +#### 2. Colocalization with iCOLOC + - Performs pair-wise colocalization for pair of credible sets listed in the guide table by employing `iCOLOC`, a framework extending traditional [colocalization analysis using Bayes Factors](https://chr1swallace.github.io/coloc/reference/coloc.abf.html) by imputing lABFs of SNPs outside of credible sets to the minimum lABF value in the locus. + +
+ +iCOLOC approach allows to: + 1. Significantly reducing storage requirements by saving in the AnnData object only exact lABF values of credible sets SNPs + 2. Enhancing colocalization accuracy compared to tradional coloc by reducing false positives due to two causal SNPs being in strong LD. +
+ +
+
+ + +## 📁 Output +| Output Type | Description | +| ----------------------------------------------- | ---------------------------------------------------------------------------------------------------------------- | +| `gwas_and_loci_tables/*_dataset_aligned.tsv.gz` | Harmonized (and optionally lifted) GWAS summary statistics | +| `gwas_and_loci_tables/*_loci.tsv` | Boundaries of identified association regions and GWAS summary statistics for the sentinel SNP | +| `finemapping_exceptions/` | [Multiple tables reporting information about loci that were not fine-mapped with the standard procedure or at all](https://github.com/Biostatistics-Unit-HT/Flanders/wiki/Fine%E2%80%90mapping-exceptions) | +| `finemapping/*_susie_finemap.rds` _(optional)_ | Individual RDS files for each fine-mapped locus | +| `anndata/*.h5ad` | AnnData object with lABFs, CS metadata and SNP annotations resulting from fine-mapping | +| `coloc/coloc_guide_table.csv` | Colocalization analysis guide table, listing all colocalization tests performed | +| `coloc/*_colocalization.table.*.tsv` | Colocalization analysis results (all, filterd by PPH4 threshold and filtered by PPH3 threshold) | +
+
+ + +## 👩‍🔬 Credits +Developed by the Biostatistics and Genome Analysis Units at [Human Technopole](https://humantechnopole.it/en/)
+- [Arianna Landini](mailto:arianna.landini@fht.org)
+- [Sodbo Sharapov](mailto:sodbo.sharapov@fht.org)
+- [Edoardo Giacopuzzi](mailto:edoardo.giacopuzzi@fht.org)
+- [Bruno Ariano](mailto:bruno.ariano@fht.org)
+- [Nicola Pirastu](mailto:nicola.pirastu@fht.org)
+ +## TileDB advanced usage ``` python main.py diff --git a/example_data/snp_list.csv b/example_data/snp_list.csv new file mode 100644 index 0000000..6dc5e24 --- /dev/null +++ b/example_data/snp_list.csv @@ -0,0 +1,106543 @@ +CHR,POS,TRAIT +7,92245996,Monocyte_CD14:ENSG00000001629 +7,92128797,Monocyte_CD14:ENSG00000001630 +7,150779800,Monocyte_CD14:ENSG00000002726 +7,150802179,Monocyte_CD14:ENSG00000002726 +7,1891641,Monocyte_CD14:ENSG00000002822 +7,1978783,Monocyte_CD14:ENSG00000002822 +7,1992847,Monocyte_CD14:ENSG00000002822 +7,2008173,Monocyte_CD14:ENSG00000002822 +7,2084949,Monocyte_CD14:ENSG00000002822 +7,2246055,Monocyte_CD14:ENSG00000002822 +7,150779800,Monocyte_CD14:ENSG00000002933 +7,150788154,Monocyte_CD14:ENSG00000002933 +7,150814790,Monocyte_CD14:ENSG00000002933 +7,150815702,Monocyte_CD14:ENSG00000002933 +7,93316698,Monocyte_CD14:ENSG00000004766 +7,95584390,Monocyte_CD14:ENSG00000004799 +7,95619390,Monocyte_CD14:ENSG00000004799 +7,96324337,Monocyte_CD14:ENSG00000004864 +7,26736437,Monocyte_CD14:ENSG00000005020 +7,102472809,Monocyte_CD14:ENSG00000005075 +7,107048397,Monocyte_CD14:ENSG00000005249 +7,107053367,Monocyte_CD14:ENSG00000005249 +7,107496079,Monocyte_CD14:ENSG00000005249 +7,76009166,Monocyte_CD14:ENSG00000005486 +7,140164268,Monocyte_CD14:ENSG00000006459 +7,140182802,Monocyte_CD14:ENSG00000006459 +7,140231658,Monocyte_CD14:ENSG00000006459 +7,140292075,Monocyte_CD14:ENSG00000006459 +7,140315304,Monocyte_CD14:ENSG00000006459 +7,30523336,Monocyte_CD14:ENSG00000006625 +7,87845920,Monocyte_CD14:ENSG00000006634 +7,112445345,Monocyte_CD14:ENSG00000006652 +7,112460123,Monocyte_CD14:ENSG00000006652 +7,122144387,Monocyte_CD14:ENSG00000008311 +7,157219242,Monocyte_CD14:ENSG00000009335 +7,73433153,Monocyte_CD14:ENSG00000009954 +7,38180995,Monocyte_CD14:ENSG00000010270 +7,5834972,Monocyte_CD14:ENSG00000011275 +7,151341801,Monocyte_CD14:ENSG00000013374 +7,44515974,Monocyte_CD14:ENSG00000015676 +7,81723401,Monocyte_CD14:ENSG00000019991 +7,151210600,Monocyte_CD14:ENSG00000033050 +7,151250914,Monocyte_CD14:ENSG00000033100 +7,18363648,Monocyte_CD14:ENSG00000048052 +7,127359402,Monocyte_CD14:ENSG00000048405 +7,127366942,Monocyte_CD14:ENSG00000048405 +7,74234485,Monocyte_CD14:ENSG00000049541 +7,26106731,Monocyte_CD14:ENSG00000050344 +7,26139746,Monocyte_CD14:ENSG00000050344 +7,148607420,Monocyte_CD14:ENSG00000055130 +7,148620193,Monocyte_CD14:ENSG00000055130 +7,152309580,Monocyte_CD14:ENSG00000055609 +7,90631722,Monocyte_CD14:ENSG00000058091 +7,139918791,Monocyte_CD14:ENSG00000059377 +7,139923676,Monocyte_CD14:ENSG00000059377 +7,140063845,Monocyte_CD14:ENSG00000059378 +7,139758572,Monocyte_CD14:ENSG00000064393 +7,129072814,Monocyte_CD14:ENSG00000064419 +7,129137407,Monocyte_CD14:ENSG00000064419 +7,39938159,Monocyte_CD14:ENSG00000065883 +7,100352827,Monocyte_CD14:ENSG00000066923 +7,97965822,Monocyte_CD14:ENSG00000070669 +7,24839726,Monocyte_CD14:ENSG00000070882 +7,24975616,Monocyte_CD14:ENSG00000070882 +7,25008701,Monocyte_CD14:ENSG00000070882 +7,17941687,Monocyte_CD14:ENSG00000071189 +7,121024520,Monocyte_CD14:ENSG00000071243 +7,73698856,Monocyte_CD14:ENSG00000071462 +7,88198889,Monocyte_CD14:ENSG00000075142 +7,88269833,Monocyte_CD14:ENSG00000075142 +7,80724913,Monocyte_CD14:ENSG00000075223 +7,80934483,Monocyte_CD14:ENSG00000075223 +7,80941555,Monocyte_CD14:ENSG00000075223 +7,87614042,Monocyte_CD14:ENSG00000075303 +7,87931436,Monocyte_CD14:ENSG00000075303 +7,5558422,Monocyte_CD14:ENSG00000075618 +7,5611768,Monocyte_CD14:ENSG00000075618 +7,5611768,Monocyte_CD14:ENSG00000075624 +7,107209267,Monocyte_CD14:ENSG00000075790 +7,107479676,Monocyte_CD14:ENSG00000075790 +7,117763876,Monocyte_CD14:ENSG00000077063 +7,117828002,Monocyte_CD14:ENSG00000077063 +7,117868568,Monocyte_CD14:ENSG00000077063 +7,27162670,Monocyte_CD14:ENSG00000078399 +7,135672728,Monocyte_CD14:ENSG00000080802 +7,151239038,Monocyte_CD14:ENSG00000082014 +7,100374211,Monocyte_CD14:ENSG00000085514 +7,134446076,Monocyte_CD14:ENSG00000085662 +7,134459205,Monocyte_CD14:ENSG00000085662 +7,134549099,Monocyte_CD14:ENSG00000085662 +7,134574065,Monocyte_CD14:ENSG00000085662 +7,134603474,Monocyte_CD14:ENSG00000085662 +7,6062403,Monocyte_CD14:ENSG00000086232 +7,37723531,Monocyte_CD14:ENSG00000086288 +7,37793009,Monocyte_CD14:ENSG00000086288 +7,37841463,Monocyte_CD14:ENSG00000086288 +7,37895366,Monocyte_CD14:ENSG00000086289 +7,26337468,Monocyte_CD14:ENSG00000086300 +7,74234485,Monocyte_CD14:ENSG00000086730 +7,100874758,Monocyte_CD14:ENSG00000087077 +7,141006231,Monocyte_CD14:ENSG00000090263 +7,141010508,Monocyte_CD14:ENSG00000090263 +7,140700193,Monocyte_CD14:ENSG00000090266 +7,76451203,Monocyte_CD14:ENSG00000091073 +7,105508146,Monocyte_CD14:ENSG00000091127 +7,105520320,Monocyte_CD14:ENSG00000091127 +7,105521846,Monocyte_CD14:ENSG00000091127 +7,107934339,Monocyte_CD14:ENSG00000091136 +7,32625238,Monocyte_CD14:ENSG00000105778 +7,90243091,Monocyte_CD14:ENSG00000105793 +7,90358143,Monocyte_CD14:ENSG00000105793 +7,90366351,Monocyte_CD14:ENSG00000105793 +7,102311346,Monocyte_CD14:ENSG00000105808 +7,102471489,Monocyte_CD14:ENSG00000105808 +7,102472809,Monocyte_CD14:ENSG00000105808 +7,102691903,Monocyte_CD14:ENSG00000105808 +7,102697384,Monocyte_CD14:ENSG00000105808 +7,102743810,Monocyte_CD14:ENSG00000105808 +7,102872041,Monocyte_CD14:ENSG00000105808 +7,103329701,Monocyte_CD14:ENSG00000105808 +7,103175258,Monocyte_CD14:ENSG00000105821 +7,94002458,Monocyte_CD14:ENSG00000105829 +7,106233169,Monocyte_CD14:ENSG00000105835 +7,19709260,Monocyte_CD14:ENSG00000105849 +7,106859224,Monocyte_CD14:ENSG00000105851 +7,95434390,Monocyte_CD14:ENSG00000105854 +7,107561130,Monocyte_CD14:ENSG00000105856 +7,135254295,Monocyte_CD14:ENSG00000105875 +7,107743682,Monocyte_CD14:ENSG00000105879 +7,136012881,Monocyte_CD14:ENSG00000105887 +7,24720326,Monocyte_CD14:ENSG00000105928 +7,24757074,Monocyte_CD14:ENSG00000105928 +7,139045615,Monocyte_CD14:ENSG00000105939 +7,44623239,Monocyte_CD14:ENSG00000105953 +7,907599,Monocyte_CD14:ENSG00000105963 +7,116025634,Monocyte_CD14:ENSG00000105967 +7,116050690,Monocyte_CD14:ENSG00000105967 +7,44831334,Monocyte_CD14:ENSG00000105968 +7,156640639,Monocyte_CD14:ENSG00000105982 +7,156911391,Monocyte_CD14:ENSG00000105983 +7,26825580,Monocyte_CD14:ENSG00000105991 +7,157298226,Monocyte_CD14:ENSG00000105993 +7,2510539,Monocyte_CD14:ENSG00000106003 +7,2529136,Monocyte_CD14:ENSG00000106003 +7,26752885,Monocyte_CD14:ENSG00000106004 +7,2889828,Monocyte_CD14:ENSG00000106009 +7,2597055,Monocyte_CD14:ENSG00000106012 +7,141739604,Monocyte_CD14:ENSG00000106028 +7,120995877,Monocyte_CD14:ENSG00000106034 +7,121024520,Monocyte_CD14:ENSG00000106034 +7,27675473,Monocyte_CD14:ENSG00000106049 +7,28237488,Monocyte_CD14:ENSG00000106052 +7,29078169,Monocyte_CD14:ENSG00000106066 +7,29112755,Monocyte_CD14:ENSG00000106066 +7,29144873,Monocyte_CD14:ENSG00000106066 +7,29146960,Monocyte_CD14:ENSG00000106066 +7,29148330,Monocyte_CD14:ENSG00000106066 +7,29146960,Monocyte_CD14:ENSG00000106069 +7,29149254,Monocyte_CD14:ENSG00000106069 +7,50746791,Monocyte_CD14:ENSG00000106070 +7,50804080,Monocyte_CD14:ENSG00000106070 +7,73734414,Monocyte_CD14:ENSG00000106077 +7,73795282,Monocyte_CD14:ENSG00000106077 +7,30028412,Monocyte_CD14:ENSG00000106086 +7,142930485,Monocyte_CD14:ENSG00000106123 +7,143290545,Monocyte_CD14:ENSG00000106144 +7,56105935,Monocyte_CD14:ENSG00000106153 +7,56106447,Monocyte_CD14:ENSG00000106153 +7,76299893,Monocyte_CD14:ENSG00000106211 +7,99386776,Monocyte_CD14:ENSG00000106244 +7,99419064,Monocyte_CD14:ENSG00000106246 +7,2376313,Monocyte_CD14:ENSG00000106263 +7,2259211,Monocyte_CD14:ENSG00000106268 +7,100103241,Monocyte_CD14:ENSG00000106290 +7,123690585,Monocyte_CD14:ENSG00000106299 +7,6002266,Monocyte_CD14:ENSG00000106305 +7,100613933,Monocyte_CD14:ENSG00000106330 +7,100613933,Monocyte_CD14:ENSG00000106333 +7,31688566,Monocyte_CD14:ENSG00000106341 +7,128391244,Monocyte_CD14:ENSG00000106348 +7,128406016,Monocyte_CD14:ENSG00000106348 +7,32482098,Monocyte_CD14:ENSG00000106355 +7,101184374,Monocyte_CD14:ENSG00000106367 +7,7210116,Monocyte_CD14:ENSG00000106392 +7,7214858,Monocyte_CD14:ENSG00000106392 +7,7229792,Monocyte_CD14:ENSG00000106392 +7,7640254,Monocyte_CD14:ENSG00000106399 +7,101217355,Monocyte_CD14:ENSG00000106400 +7,101243569,Monocyte_CD14:ENSG00000106404 +7,12205793,Monocyte_CD14:ENSG00000106460 +7,130486822,Monocyte_CD14:ENSG00000106484 +7,150323292,Monocyte_CD14:ENSG00000106526 +7,16941866,Monocyte_CD14:ENSG00000106546 +7,17041533,Monocyte_CD14:ENSG00000106546 +7,17123258,Monocyte_CD14:ENSG00000106546 +7,17190238,Monocyte_CD14:ENSG00000106546 +7,133094090,Monocyte_CD14:ENSG00000106554 +7,150641108,Monocyte_CD14:ENSG00000106560 +7,150685732,Monocyte_CD14:ENSG00000106560 +7,150695655,Monocyte_CD14:ENSG00000106560 +7,150779800,Monocyte_CD14:ENSG00000106565 +7,150801157,Monocyte_CD14:ENSG00000106565 +7,150802179,Monocyte_CD14:ENSG00000106565 +7,42916409,Monocyte_CD14:ENSG00000106588 +7,42916409,Monocyte_CD14:ENSG00000106591 +7,43604236,Monocyte_CD14:ENSG00000106603 +7,43651347,Monocyte_CD14:ENSG00000106603 +7,43736449,Monocyte_CD14:ENSG00000106605 +7,43770671,Monocyte_CD14:ENSG00000106605 +7,151507400,Monocyte_CD14:ENSG00000106615 +7,151202430,Monocyte_CD14:ENSG00000106617 +7,44123335,Monocyte_CD14:ENSG00000106628 +7,44123530,Monocyte_CD14:ENSG00000106628 +7,73591561,Monocyte_CD14:ENSG00000106638 +7,74234485,Monocyte_CD14:ENSG00000106665 +7,74081829,Monocyte_CD14:ENSG00000106683 +7,158740015,Monocyte_CD14:ENSG00000117868 +7,158744017,Monocyte_CD14:ENSG00000117868 +7,158782649,Monocyte_CD14:ENSG00000117868 +7,100352827,Monocyte_CD14:ENSG00000121716 +7,33201717,Monocyte_CD14:ENSG00000122507 +7,44731674,Monocyte_CD14:ENSG00000122515 +7,35806498,Monocyte_CD14:ENSG00000122545 +7,36153178,Monocyte_CD14:ENSG00000122547 +7,23105676,Monocyte_CD14:ENSG00000122550 +7,35665346,Monocyte_CD14:ENSG00000122557 +7,26106731,Monocyte_CD14:ENSG00000122565 +7,26278487,Monocyte_CD14:ENSG00000122565 +7,26106731,Monocyte_CD14:ENSG00000122566 +7,22911076,Monocyte_CD14:ENSG00000122591 +7,22927733,Monocyte_CD14:ENSG00000122591 +7,32957911,Monocyte_CD14:ENSG00000122642 +7,32971134,Monocyte_CD14:ENSG00000122642 +7,32997657,Monocyte_CD14:ENSG00000122643 +7,12720271,Monocyte_CD14:ENSG00000122644 +7,5903254,Monocyte_CD14:ENSG00000122674 +7,5904971,Monocyte_CD14:ENSG00000122674 +7,6845133,Monocyte_CD14:ENSG00000122674 +7,44075482,Monocyte_CD14:ENSG00000122678 +7,138194634,Monocyte_CD14:ENSG00000122779 +7,138205423,Monocyte_CD14:ENSG00000122779 +7,138209773,Monocyte_CD14:ENSG00000122779 +7,138226609,Monocyte_CD14:ENSG00000122779 +7,138491562,Monocyte_CD14:ENSG00000122779 +7,134656639,Monocyte_CD14:ENSG00000122786 +7,66636497,Monocyte_CD14:ENSG00000126522 +7,158878425,Monocyte_CD14:ENSG00000126870 +7,141739604,Monocyte_CD14:ENSG00000127364 +7,141794673,Monocyte_CD14:ENSG00000127366 +7,150323292,Monocyte_CD14:ENSG00000127399 +7,142906797,Monocyte_CD14:ENSG00000127412 +7,92676131,Monocyte_CD14:ENSG00000127914 +7,96701255,Monocyte_CD14:ENSG00000127922 +7,75618022,Monocyte_CD14:ENSG00000127946 +7,75703343,Monocyte_CD14:ENSG00000127946 +7,75720992,Monocyte_CD14:ENSG00000127946 +7,77504945,Monocyte_CD14:ENSG00000127947 +7,77531816,Monocyte_CD14:ENSG00000127947 +7,77532312,Monocyte_CD14:ENSG00000127947 +7,77533505,Monocyte_CD14:ENSG00000127947 +7,77541385,Monocyte_CD14:ENSG00000127947 +7,77685501,Monocyte_CD14:ENSG00000127947 +7,75915151,Monocyte_CD14:ENSG00000127948 +7,76009166,Monocyte_CD14:ENSG00000127948 +7,77189360,Monocyte_CD14:ENSG00000127951 +7,77199958,Monocyte_CD14:ENSG00000127951 +7,77238798,Monocyte_CD14:ENSG00000127951 +7,76035613,Monocyte_CD14:ENSG00000127952 +7,76141676,Monocyte_CD14:ENSG00000127952 +7,88231936,Monocyte_CD14:ENSG00000127954 +7,88269833,Monocyte_CD14:ENSG00000127954 +7,88393691,Monocyte_CD14:ENSG00000127954 +7,80106543,Monocyte_CD14:ENSG00000127955 +7,91907837,Monocyte_CD14:ENSG00000127989 +7,112082054,Monocyte_CD14:ENSG00000128512 +7,112239361,Monocyte_CD14:ENSG00000128512 +7,125109387,Monocyte_CD14:ENSG00000128513 +7,128864079,Monocyte_CD14:ENSG00000128524 +7,128886495,Monocyte_CD14:ENSG00000128524 +7,118210746,Monocyte_CD14:ENSG00000128534 +7,102430479,Monocyte_CD14:ENSG00000128563 +7,103050736,Monocyte_CD14:ENSG00000128563 +7,131440715,Monocyte_CD14:ENSG00000128585 +7,128004255,Monocyte_CD14:ENSG00000128594 +7,128735549,Monocyte_CD14:ENSG00000128595 +7,128804766,Monocyte_CD14:ENSG00000128596 +7,128939612,Monocyte_CD14:ENSG00000128604 +7,128952247,Monocyte_CD14:ENSG00000128604 +7,128984965,Monocyte_CD14:ENSG00000128604 +7,130138678,Monocyte_CD14:ENSG00000128607 +7,128791051,Monocyte_CD14:ENSG00000128617 +7,56067765,Monocyte_CD14:ENSG00000129103 +7,72897807,Monocyte_CD14:ENSG00000130305 +7,99367083,Monocyte_CD14:ENSG00000130429 +7,100226768,Monocyte_CD14:ENSG00000130429 +7,133295617,Monocyte_CD14:ENSG00000131558 +7,134049164,Monocyte_CD14:ENSG00000131558 +7,55837619,Monocyte_CD14:ENSG00000132434 +7,50447929,Monocyte_CD14:ENSG00000132436 +7,50478814,Monocyte_CD14:ENSG00000132436 +7,150489995,Monocyte_CD14:ENSG00000133561 +7,150490492,Monocyte_CD14:ENSG00000133561 +7,150635034,Monocyte_CD14:ENSG00000133561 +7,150666647,Monocyte_CD14:ENSG00000133561 +7,150489995,Monocyte_CD14:ENSG00000133574 +7,150490492,Monocyte_CD14:ENSG00000133574 +7,150530139,Monocyte_CD14:ENSG00000133574 +7,150556942,Monocyte_CD14:ENSG00000133574 +7,150594642,Monocyte_CD14:ENSG00000133574 +7,150600842,Monocyte_CD14:ENSG00000133574 +7,140673089,Monocyte_CD14:ENSG00000133597 +7,151088666,Monocyte_CD14:ENSG00000133612 +7,151091590,Monocyte_CD14:ENSG00000133612 +7,149720369,Monocyte_CD14:ENSG00000133619 +7,87170125,Monocyte_CD14:ENSG00000135164 +7,77145580,Monocyte_CD14:ENSG00000135205 +7,77193353,Monocyte_CD14:ENSG00000135205 +7,77792277,Monocyte_CD14:ENSG00000135211 +7,80442110,Monocyte_CD14:ENSG00000135218 +7,80616828,Monocyte_CD14:ENSG00000135218 +7,80632404,Monocyte_CD14:ENSG00000135218 +7,80638573,Monocyte_CD14:ENSG00000135218 +7,80677034,Monocyte_CD14:ENSG00000135218 +7,80724913,Monocyte_CD14:ENSG00000135218 +7,108475949,Monocyte_CD14:ENSG00000135241 +7,105037292,Monocyte_CD14:ENSG00000135250 +7,116210621,Monocyte_CD14:ENSG00000135269 +7,116211123,Monocyte_CD14:ENSG00000135269 +7,116211628,Monocyte_CD14:ENSG00000135269 +7,114981405,Monocyte_CD14:ENSG00000135272 +7,115011640,Monocyte_CD14:ENSG00000135272 +7,115166276,Monocyte_CD14:ENSG00000135272 +7,29974452,Monocyte_CD14:ENSG00000136193 +7,29985595,Monocyte_CD14:ENSG00000136193 +7,30009605,Monocyte_CD14:ENSG00000136193 +7,42916409,Monocyte_CD14:ENSG00000136197 +7,47294368,Monocyte_CD14:ENSG00000136205 +7,2418764,Monocyte_CD14:ENSG00000136213 +7,2523200,Monocyte_CD14:ENSG00000136213 +7,23202172,Monocyte_CD14:ENSG00000136231 +7,23248690,Monocyte_CD14:ENSG00000136235 +7,23317559,Monocyte_CD14:ENSG00000136235 +7,6338532,Monocyte_CD14:ENSG00000136238 +7,6359906,Monocyte_CD14:ENSG00000136238 +7,6379909,Monocyte_CD14:ENSG00000136238 +7,6394456,Monocyte_CD14:ENSG00000136238 +7,6395523,Monocyte_CD14:ENSG00000136238 +7,6400651,Monocyte_CD14:ENSG00000136238 +7,6462736,Monocyte_CD14:ENSG00000136240 +7,23193040,Monocyte_CD14:ENSG00000136243 +7,6577616,Monocyte_CD14:ENSG00000136247 +7,6613879,Monocyte_CD14:ENSG00000136247 +7,36522089,Monocyte_CD14:ENSG00000136250 +7,36717858,Monocyte_CD14:ENSG00000136250 +7,36718781,Monocyte_CD14:ENSG00000136250 +7,36724067,Monocyte_CD14:ENSG00000136250 +7,36724518,Monocyte_CD14:ENSG00000136250 +7,36785163,Monocyte_CD14:ENSG00000136250 +7,16653497,Monocyte_CD14:ENSG00000136261 +7,45098160,Monocyte_CD14:ENSG00000136270 +7,44058107,Monocyte_CD14:ENSG00000136271 +7,44551977,Monocyte_CD14:ENSG00000136271 +7,47946394,Monocyte_CD14:ENSG00000136273 +7,44060774,Monocyte_CD14:ENSG00000136279 +7,44070108,Monocyte_CD14:ENSG00000136279 +7,45047066,Monocyte_CD14:ENSG00000136280 +7,44906506,Monocyte_CD14:ENSG00000136286 +7,44977603,Monocyte_CD14:ENSG00000136286 +7,45061447,Monocyte_CD14:ENSG00000136286 +7,2649004,Monocyte_CD14:ENSG00000136295 +7,2780093,Monocyte_CD14:ENSG00000146535 +7,997746,Monocyte_CD14:ENSG00000146540 +7,1016603,Monocyte_CD14:ENSG00000146540 +7,1052883,Monocyte_CD14:ENSG00000146540 +7,5903254,Monocyte_CD14:ENSG00000146574 +7,6845133,Monocyte_CD14:ENSG00000146574 +7,5076968,Monocyte_CD14:ENSG00000146587 +7,28669568,Monocyte_CD14:ENSG00000146592 +7,28684757,Monocyte_CD14:ENSG00000146592 +7,28684874,Monocyte_CD14:ENSG00000146592 +7,76403393,Monocyte_CD14:ENSG00000146700 +7,76141676,Monocyte_CD14:ENSG00000146701 +7,76301066,Monocyte_CD14:ENSG00000146707 +7,76585957,Monocyte_CD14:ENSG00000146707 +7,76609936,Monocyte_CD14:ENSG00000146707 +7,76611560,Monocyte_CD14:ENSG00000146707 +7,76646010,Monocyte_CD14:ENSG00000146707 +7,56067765,Monocyte_CD14:ENSG00000146729 +7,56053188,Monocyte_CD14:ENSG00000146731 +7,55741112,Monocyte_CD14:ENSG00000146733 +7,105606374,Monocyte_CD14:ENSG00000146776 +7,105835440,Monocyte_CD14:ENSG00000146776 +7,100874758,Monocyte_CD14:ENSG00000146828 +7,100669010,Monocyte_CD14:ENSG00000146830 +7,100700921,Monocyte_CD14:ENSG00000146830 +7,99900522,Monocyte_CD14:ENSG00000146833 +7,100352827,Monocyte_CD14:ENSG00000146834 +7,130205362,Monocyte_CD14:ENSG00000146842 +7,139045615,Monocyte_CD14:ENSG00000146858 +7,135169092,Monocyte_CD14:ENSG00000146859 +7,143171609,Monocyte_CD14:ENSG00000146904 +7,156959106,Monocyte_CD14:ENSG00000146909 +7,158704368,Monocyte_CD14:ENSG00000146918 +7,64985867,Monocyte_CD14:ENSG00000152926 +7,64999491,Monocyte_CD14:ENSG00000152926 +7,65007996,Monocyte_CD14:ENSG00000152926 +7,65505781,Monocyte_CD14:ENSG00000152926 +7,28237488,Monocyte_CD14:ENSG00000153814 +7,66708053,Monocyte_CD14:ENSG00000154710 +7,67184412,Monocyte_CD14:ENSG00000154710 +7,55508758,Monocyte_CD14:ENSG00000154978 +7,5477297,Monocyte_CD14:ENSG00000155034 +7,157590671,Monocyte_CD14:ENSG00000155093 +7,134085868,Monocyte_CD14:ENSG00000155530 +7,149026091,Monocyte_CD14:ENSG00000155660 +7,37414914,Monocyte_CD14:ENSG00000155849 +7,91326645,Monocyte_CD14:ENSG00000157240 +7,92432050,Monocyte_CD14:ENSG00000157259 +7,92437124,Monocyte_CD14:ENSG00000157259 +7,92472953,Monocyte_CD14:ENSG00000157259 +7,1570052,Monocyte_CD14:ENSG00000157778 +7,140391190,Monocyte_CD14:ENSG00000157800 +7,140403296,Monocyte_CD14:ENSG00000157800 +7,5141436,Monocyte_CD14:ENSG00000157954 +7,5232025,Monocyte_CD14:ENSG00000157954 +7,5237577,Monocyte_CD14:ENSG00000157954 +7,69644999,Monocyte_CD14:ENSG00000158321 +7,129125449,Monocyte_CD14:ENSG00000158457 +7,129137407,Monocyte_CD14:ENSG00000158457 +7,129143002,Monocyte_CD14:ENSG00000158457 +7,129150121,Monocyte_CD14:ENSG00000158457 +7,74653166,Monocyte_CD14:ENSG00000158517 +7,74779319,Monocyte_CD14:ENSG00000158517 +7,75041624,Monocyte_CD14:ENSG00000158517 +7,75444891,Monocyte_CD14:ENSG00000158517 +7,75568022,Monocyte_CD14:ENSG00000158517 +7,44548443,Monocyte_CD14:ENSG00000158604 +7,130588896,Monocyte_CD14:ENSG00000158623 +7,130707769,Monocyte_CD14:ENSG00000158623 +7,143375114,Monocyte_CD14:ENSG00000159784 +7,143290545,Monocyte_CD14:ENSG00000159840 +7,143375114,Monocyte_CD14:ENSG00000159840 +7,143384849,Monocyte_CD14:ENSG00000159840 +7,143414019,Monocyte_CD14:ENSG00000159840 +7,102298751,Monocyte_CD14:ENSG00000160991 +7,102303871,Monocyte_CD14:ENSG00000160991 +7,102430479,Monocyte_CD14:ENSG00000160991 +7,102433755,Monocyte_CD14:ENSG00000160991 +7,102307217,Monocyte_CD14:ENSG00000160999 +7,102151818,Monocyte_CD14:ENSG00000161048 +7,103154166,Monocyte_CD14:ENSG00000161048 +7,103368143,Monocyte_CD14:ENSG00000161057 +7,6416460,Monocyte_CD14:ENSG00000164535 +7,43608853,Monocyte_CD14:ENSG00000164543 +7,107442643,Monocyte_CD14:ENSG00000164597 +7,113142501,Monocyte_CD14:ENSG00000164604 +7,5237577,Monocyte_CD14:ENSG00000164638 +7,89524022,Monocyte_CD14:ENSG00000164647 +7,21898622,Monocyte_CD14:ENSG00000164649 +7,21926702,Monocyte_CD14:ENSG00000164649 +7,98283884,Monocyte_CD14:ENSG00000164713 +7,98289166,Monocyte_CD14:ENSG00000164713 +7,98294000,Monocyte_CD14:ENSG00000164713 +7,98308669,Monocyte_CD14:ENSG00000164713 +7,98119001,Monocyte_CD14:ENSG00000164715 +7,56067765,Monocyte_CD14:ENSG00000164776 +7,871476,Monocyte_CD14:ENSG00000164828 +7,1090948,Monocyte_CD14:ENSG00000164850 +7,1482539,Monocyte_CD14:ENSG00000164880 +7,1495415,Monocyte_CD14:ENSG00000164880 +7,151080283,Monocyte_CD14:ENSG00000164897 +7,4745021,Monocyte_CD14:ENSG00000164916 +7,128501969,Monocyte_CD14:ENSG00000165055 +7,142910750,Monocyte_CD14:ENSG00000165125 +7,142944295,Monocyte_CD14:ENSG00000165131 +7,73827056,Monocyte_CD14:ENSG00000165171 +7,100149507,Monocyte_CD14:ENSG00000166529 +7,100492116,Monocyte_CD14:ENSG00000166925 +7,100492237,Monocyte_CD14:ENSG00000166925 +7,100147962,Monocyte_CD14:ENSG00000166997 +7,100093226,Monocyte_CD14:ENSG00000168090 +7,22650414,Monocyte_CD14:ENSG00000169193 +7,101090284,Monocyte_CD14:ENSG00000169871 +7,66381670,Monocyte_CD14:ENSG00000169902 +7,65751755,Monocyte_CD14:ENSG00000169919 +7,65837842,Monocyte_CD14:ENSG00000169919 +7,76388709,Monocyte_CD14:ENSG00000170027 +7,76413613,Monocyte_CD14:ENSG00000170027 +7,84244942,Monocyte_CD14:ENSG00000170381 +7,102661899,Monocyte_CD14:ENSG00000170632 +7,102472809,Monocyte_CD14:ENSG00000170667 +7,102713561,Monocyte_CD14:ENSG00000170667 +7,102737462,Monocyte_CD14:ENSG00000170667 +7,150451959,Monocyte_CD14:ENSG00000171115 +7,150463201,Monocyte_CD14:ENSG00000171115 +7,150474511,Monocyte_CD14:ENSG00000171115 +7,150489995,Monocyte_CD14:ENSG00000171115 +7,149874377,Monocyte_CD14:ENSG00000171130 +7,100679034,Monocyte_CD14:ENSG00000172354 +7,100706100,Monocyte_CD14:ENSG00000172354 +7,64555733,Monocyte_CD14:ENSG00000173041 +7,34953159,Monocyte_CD14:ENSG00000173852 +7,34963095,Monocyte_CD14:ENSG00000173852 +7,35038394,Monocyte_CD14:ENSG00000173852 +7,33366625,Monocyte_CD14:ENSG00000173862 +7,128237160,Monocyte_CD14:ENSG00000174697 +7,100870776,Monocyte_CD14:ENSG00000176125 +7,73698856,Monocyte_CD14:ENSG00000176410 +7,93144478,Monocyte_CD14:ENSG00000177409 +7,93332300,Monocyte_CD14:ENSG00000177409 +7,108561816,Monocyte_CD14:ENSG00000177683 +7,60061,Monocyte_CD14:ENSG00000177706 +7,109624,Monocyte_CD14:ENSG00000177706 +7,150371,Monocyte_CD14:ENSG00000177706 +7,193979,Monocyte_CD14:ENSG00000177706 +7,151877943,Monocyte_CD14:ENSG00000178234 +7,1164205,Monocyte_CD14:ENSG00000178381 +7,55741112,Monocyte_CD14:ENSG00000178665 +7,55890015,Monocyte_CD14:ENSG00000178665 +7,75494268,Monocyte_CD14:ENSG00000178809 +7,150489995,Monocyte_CD14:ENSG00000179144 +7,150490492,Monocyte_CD14:ENSG00000179144 +7,150520914,Monocyte_CD14:ENSG00000179144 +7,150521049,Monocyte_CD14:ENSG00000179144 +7,66208706,Monocyte_CD14:ENSG00000179406 +7,66421762,Monocyte_CD14:ENSG00000179406 +7,30147440,Monocyte_CD14:ENSG00000180233 +7,30161797,Monocyte_CD14:ENSG00000180354 +7,112445345,Monocyte_CD14:ENSG00000181016 +7,149753574,Monocyte_CD14:ENSG00000181444 +7,149764398,Monocyte_CD14:ENSG00000181444 +7,149772966,Monocyte_CD14:ENSG00000181444 +7,149775765,Monocyte_CD14:ENSG00000181444 +7,149776383,Monocyte_CD14:ENSG00000181444 +7,5306877,Monocyte_CD14:ENSG00000182095 +7,5392730,Monocyte_CD14:ENSG00000182095 +7,5394095,Monocyte_CD14:ENSG00000182095 +7,87340243,Monocyte_CD14:ENSG00000182165 +7,156640639,Monocyte_CD14:ENSG00000182648 +7,48088999,Monocyte_CD14:ENSG00000183696 +7,48095687,Monocyte_CD14:ENSG00000183696 +7,111417289,Monocyte_CD14:ENSG00000184903 +7,77081515,Monocyte_CD14:ENSG00000185040 +7,50379251,Monocyte_CD14:ENSG00000185811 +7,50402458,Monocyte_CD14:ENSG00000185811 +7,143414019,Monocyte_CD14:ENSG00000185899 +7,77310814,Monocyte_CD14:ENSG00000186088 +7,77368738,Monocyte_CD14:ENSG00000186088 +7,77415447,Monocyte_CD14:ENSG00000186088 +7,155296460,Monocyte_CD14:ENSG00000186480 +7,37683810,Monocyte_CD14:ENSG00000187037 +7,37739642,Monocyte_CD14:ENSG00000187037 +7,77695265,Monocyte_CD14:ENSG00000187257 +7,143344769,Monocyte_CD14:ENSG00000188037 +7,143344844,Monocyte_CD14:ENSG00000188037 +7,143346256,Monocyte_CD14:ENSG00000188037 +7,143346284,Monocyte_CD14:ENSG00000188037 +7,143375114,Monocyte_CD14:ENSG00000188037 +7,39733396,Monocyte_CD14:ENSG00000188185 +7,100025596,Monocyte_CD14:ENSG00000188186 +7,100153898,Monocyte_CD14:ENSG00000188186 +7,76388709,Monocyte_CD14:ENSG00000188372 +7,76403393,Monocyte_CD14:ENSG00000188372 +7,76603488,Monocyte_CD14:ENSG00000188372 +7,76611560,Monocyte_CD14:ENSG00000188372 +7,76621522,Monocyte_CD14:ENSG00000188372 +7,76669804,Monocyte_CD14:ENSG00000188372 +7,150338094,Monocyte_CD14:ENSG00000188707 +7,23681366,Monocyte_CD14:ENSG00000188732 +7,11114206,Monocyte_CD14:ENSG00000189043 +7,76141676,Monocyte_CD14:ENSG00000189077 +7,64899767,Monocyte_CD14:ENSG00000189316 +7,64665035,Monocyte_CD14:ENSG00000196247 +7,44796715,Monocyte_CD14:ENSG00000196262 +7,44831334,Monocyte_CD14:ENSG00000196262 +7,75567444,Monocyte_CD14:ENSG00000196275 +7,30551954,Monocyte_CD14:ENSG00000196295 +7,30594388,Monocyte_CD14:ENSG00000196295 +7,30600739,Monocyte_CD14:ENSG00000196295 +7,30647314,Monocyte_CD14:ENSG00000196295 +7,73525766,Monocyte_CD14:ENSG00000196313 +7,150487545,Monocyte_CD14:ENSG00000196329 +7,150489995,Monocyte_CD14:ENSG00000196329 +7,150556942,Monocyte_CD14:ENSG00000196329 +7,150666647,Monocyte_CD14:ENSG00000196329 +7,150709579,Monocyte_CD14:ENSG00000196329 +7,150737384,Monocyte_CD14:ENSG00000196329 +7,100819299,Monocyte_CD14:ENSG00000196411 +7,100833920,Monocyte_CD14:ENSG00000196411 +7,149460906,Monocyte_CD14:ENSG00000196453 +7,150387263,Monocyte_CD14:ENSG00000196456 +7,144835011,Monocyte_CD14:ENSG00000196511 +7,144847919,Monocyte_CD14:ENSG00000196511 +7,152676167,Monocyte_CD14:ENSG00000196584 +7,22813024,Monocyte_CD14:ENSG00000196683 +7,22822870,Monocyte_CD14:ENSG00000196683 +7,65709389,Monocyte_CD14:ENSG00000196715 +7,66023262,Monocyte_CD14:ENSG00000196715 +7,121396112,Monocyte_CD14:ENSG00000196937 +7,121404129,Monocyte_CD14:ENSG00000196937 +7,64566434,Monocyte_CD14:ENSG00000197008 +7,65423454,Monocyte_CD14:ENSG00000197008 +7,151029602,Monocyte_CD14:ENSG00000197150 +7,127632766,Monocyte_CD14:ENSG00000197157 +7,127695795,Monocyte_CD14:ENSG00000197157 +7,99447108,Monocyte_CD14:ENSG00000197343 +7,149061793,Monocyte_CD14:ENSG00000197362 +7,143229072,Monocyte_CD14:ENSG00000197448 +7,143239150,Monocyte_CD14:ENSG00000197448 +7,64903253,Monocyte_CD14:ENSG00000198039 +7,143899791,Monocyte_CD14:ENSG00000198420 +7,99121974,Monocyte_CD14:ENSG00000198742 +7,112338805,Monocyte_CD14:ENSG00000198839 +7,67059761,Monocyte_CD14:ENSG00000198874 +7,116882353,Monocyte_CD14:ENSG00000198898 +7,149279884,Monocyte_CD14:ENSG00000204946 +7,134279631,Monocyte_CD14:ENSG00000205060 +7,128567221,Monocyte_CD14:ENSG00000205085 +7,128704086,Monocyte_CD14:ENSG00000205085 +7,101015436,Monocyte_CD14:ENSG00000205277 +7,100553061,Monocyte_CD14:ENSG00000205307 +7,98234311,Monocyte_CD14:ENSG00000205356 +7,98250386,Monocyte_CD14:ENSG00000205356 +7,98272830,Monocyte_CD14:ENSG00000205356 +7,6632448,Monocyte_CD14:ENSG00000205903 +7,6641988,Monocyte_CD14:ENSG00000205903 +7,38361383,Monocyte_CD14:ENSG00000211697 +7,38361383,Monocyte_CD14:ENSG00000211699 +7,150489995,Monocyte_CD14:ENSG00000213203 +7,150641108,Monocyte_CD14:ENSG00000213203 +7,150695655,Monocyte_CD14:ENSG00000213203 +7,64985867,Monocyte_CD14:ENSG00000213462 +7,64999491,Monocyte_CD14:ENSG00000213462 +7,150374067,Monocyte_CD14:ENSG00000214022 +7,154928549,Monocyte_CD14:ENSG00000214106 +7,113118447,Monocyte_CD14:ENSG00000214194 +7,113142501,Monocyte_CD14:ENSG00000214194 +7,101243569,Monocyte_CD14:ENSG00000214253 +7,77667060,Monocyte_CD14:ENSG00000214293 +7,100093226,Monocyte_CD14:ENSG00000214309 +7,26395858,Monocyte_CD14:ENSG00000214870 +7,16420718,Monocyte_CD14:ENSG00000214960 +7,8038149,Monocyte_CD14:ENSG00000219545 +7,100103241,Monocyte_CD14:ENSG00000221838 +7,143414019,Monocyte_CD14:ENSG00000221855 +7,102691903,Monocyte_CD14:ENSG00000222011 +7,135933117,Monocyte_CD14:ENSG00000224746 +7,156911391,Monocyte_CD14:ENSG00000224903 +7,105412512,Monocyte_CD14:ENSG00000225329 +7,23183108,Monocyte_CD14:ENSG00000226816 +7,23202172,Monocyte_CD14:ENSG00000226816 +7,66215771,Monocyte_CD14:ENSG00000226824 +7,29974452,Monocyte_CD14:ENSG00000227014 +7,30147440,Monocyte_CD14:ENSG00000227017 +7,102698721,Monocyte_CD14:ENSG00000228049 +7,88269833,Monocyte_CD14:ENSG00000228113 +7,105057977,Monocyte_CD14:ENSG00000228393 +7,22836963,Monocyte_CD14:ENSG00000228649 +7,22854176,Monocyte_CD14:ENSG00000228649 +7,38347475,Monocyte_CD14:ENSG00000228668 +7,141739604,Monocyte_CD14:ENSG00000228775 +7,1164205,Monocyte_CD14:ENSG00000229043 +7,143414019,Monocyte_CD14:ENSG00000229153 +7,103242311,Monocyte_CD14:ENSG00000230257 +7,1565311,Monocyte_CD14:ENSG00000230487 +7,1574731,Monocyte_CD14:ENSG00000230487 +7,36717614,Monocyte_CD14:ENSG00000230539 +7,136012881,Monocyte_CD14:ENSG00000230649 +7,23202172,Monocyte_CD14:ENSG00000230658 +7,7267401,Monocyte_CD14:ENSG00000230825 +7,95602124,Monocyte_CD14:ENSG00000231170 +7,95603671,Monocyte_CD14:ENSG00000231170 +7,131065875,Monocyte_CD14:ENSG00000231721 +7,136012881,Monocyte_CD14:ENSG00000232053 +7,143375114,Monocyte_CD14:ENSG00000232533 +7,143379943,Monocyte_CD14:ENSG00000232533 +7,143384849,Monocyte_CD14:ENSG00000232533 +7,143414019,Monocyte_CD14:ENSG00000232533 +7,44977603,Monocyte_CD14:ENSG00000232956 +7,45043644,Monocyte_CD14:ENSG00000232956 +7,157853676,Monocyte_CD14:ENSG00000233038 +7,157857648,Monocyte_CD14:ENSG00000233038 +7,27099210,Monocyte_CD14:ENSG00000233429 +7,27102973,Monocyte_CD14:ENSG00000233429 +7,130910288,Monocyte_CD14:ENSG00000233559 +7,28237488,Monocyte_CD14:ENSG00000234336 +7,28253595,Monocyte_CD14:ENSG00000234336 +7,64265069,Monocyte_CD14:ENSG00000234444 +7,64314206,Monocyte_CD14:ENSG00000234444 +7,43983608,Monocyte_CD14:ENSG00000235314 +7,1748644,Monocyte_CD14:ENSG00000236081 +7,715238,Monocyte_CD14:ENSG00000237181 +7,66061567,Monocyte_CD14:ENSG00000237310 +7,66636497,Monocyte_CD14:ENSG00000237310 +7,104942461,Monocyte_CD14:ENSG00000237513 +7,17267077,Monocyte_CD14:ENSG00000237773 +7,17283059,Monocyte_CD14:ENSG00000237773 +7,17307328,Monocyte_CD14:ENSG00000237773 +7,99988674,Monocyte_CD14:ENSG00000239521 +7,151877943,Monocyte_CD14:ENSG00000239911 +7,959585,Monocyte_CD14:ENSG00000240230 +7,150371,Monocyte_CD14:ENSG00000240859 +7,151099,Monocyte_CD14:ENSG00000240859 +7,66664757,Monocyte_CD14:ENSG00000241258 +7,99575086,Monocyte_CD14:ENSG00000241468 +7,99330680,Monocyte_CD14:ENSG00000241685 +7,107743554,Monocyte_CD14:ENSG00000241764 +7,107743682,Monocyte_CD14:ENSG00000241764 +7,151808004,Monocyte_CD14:ENSG00000242048 +7,151099,Monocyte_CD14:ENSG00000242474 +7,135658168,Monocyte_CD14:ENSG00000243317 +7,135672728,Monocyte_CD14:ENSG00000243317 +7,136012881,Monocyte_CD14:ENSG00000243317 +7,66620931,Monocyte_CD14:ENSG00000243335 +7,92472953,Monocyte_CD14:ENSG00000244055 +7,144558535,Monocyte_CD14:ENSG00000244198 +7,27168399,Monocyte_CD14:ENSG00000253293 +7,26780379,Monocyte_CD14:ENSG00000253552 +7,141985808,Monocyte_CD14:ENSG00000257093 +7,141928099,Monocyte_CD14:ENSG00000257335 +7,141988783,Monocyte_CD14:ENSG00000257335 +7,142095481,Monocyte_CD14:ENSG00000257335 +7,142108259,Monocyte_CD14:ENSG00000257335 +7,101796844,Monocyte_CD14:ENSG00000257923 +7,102167079,Monocyte_CD14:ENSG00000257923 +7,141965110,Monocyte_CD14:ENSG00000258227 +7,142098361,Monocyte_CD14:ENSG00000258227 +7,44949751,Monocyte_CD14:ENSG00000260997 +7,44977603,Monocyte_CD14:ENSG00000260997 +7,45045364,Monocyte_CD14:ENSG00000260997 +7,152464794,Monocyte_CD14:ENSG00000261455 +7,152464979,Monocyte_CD14:ENSG00000261455 +7,74642661,Monocyte_CD14:ENSG00000263001 +7,75029639,Monocyte_CD14:ENSG00000263001 +7,75477948,Monocyte_CD14:ENSG00000263001 +7,75494268,Monocyte_CD14:ENSG00000263001 +7,30937721,Monocyte_CD14:ENSG00000263683 +7,102395215,Monocyte_CD14:ENSG00000267368 +7,102469257,Monocyte_CD14:ENSG00000267368 +7,102472809,Monocyte_CD14:ENSG00000267368 +7,102477761,Monocyte_CD14:ENSG00000267368 +7,102693336,Monocyte_CD14:ENSG00000267368 +7,102728519,Monocyte_CD14:ENSG00000267368 +7,102767989,Monocyte_CD14:ENSG00000267368 +7,35634189,Monocyte_CD14:ENSG00000271122 +7,128622110,Monocyte_CD14:ENSG00000271553 +7,75434708,Monocyte_CD14:ENSG00000272391 +7,29148330,Monocyte_CD14:ENSG00000272568 +7,123690585,Monocyte_CD14:ENSG00000272686 +7,123738170,Monocyte_CD14:ENSG00000272686 +7,44796715,Monocyte_CD14:ENSG00000272768 +7,44933780,Monocyte_CD14:ENSG00000272768 +7,66280581,Monocyte_CD14:ENSG00000272831 +7,157854579,Monocyte_CD14:ENSG00000272839 +7,157857648,Monocyte_CD14:ENSG00000272839 +7,38311207,Monocyte_CD14:ENSG00000272908 +7,38332639,Monocyte_CD14:ENSG00000272908 +7,38361383,Monocyte_CD14:ENSG00000272908 +7,98250386,Monocyte_CD14:ENSG00000272950 +7,32749874,Monocyte_CD14:ENSG00000273014 +7,108924340,Monocyte_CD14:ENSG00000273055 +7,155344104,Monocyte_CD14:ENSG00000273117 +7,66967037,Monocyte_CD14:ENSG00000273142 +7,898795,Monocyte_CD14:ENSG00000273151 +7,135700628,Monocyte_CD14:ENSG00000273219 +7,128406016,Monocyte_CD14:ENSG00000273270 +7,128538332,Monocyte_CD14:ENSG00000273270 +7,106289014,Monocyte_CD14:ENSG00000273320 +7,129560175,Monocyte_CD14:ENSG00000273329 +7,77415447,Monocyte_CD14:ENSG00000273341 +7,154997968,Monocyte_CD14:ENSG00000273344 +7,67330034,Monocyte_CD14:ENSG00000273448 +7,75067620,Monocyte_CD14:ENSG00000274523 +7,72743711,Monocyte_CD14:ENSG00000277149 +7,102324071,Monocyte_CD14:ENSG00000279168 +7,102723654,Monocyte_CD14:ENSG00000279168 +7,102737462,Monocyte_CD14:ENSG00000279168 +7,102748476,Monocyte_CD14:ENSG00000279168 +7,102857994,Monocyte_CD14:ENSG00000279168 +7,38247362,Monocyte_CD14:ENSG00000281103 +7,38361383,Monocyte_CD14:ENSG00000281103 +7,38367320,Monocyte_CD14:ENSG00000281103 +7,32701710,Monocyte_CD14:ENSG00000281332 +7,30394289,Monocyte_CD14:ENSG00000281404 +7,35734,Monocyte_CD14:ENSG00000282572 +7,102413524,Monocyte_CD14:ENSG00000284981 +7,29146960,Monocyte_CD14:ENSG00000285162 +7,102469257,Monocyte_CD14:ENSG00000285437 +7,102471489,Monocyte_CD14:ENSG00000285437 +7,102472809,Monocyte_CD14:ENSG00000285437 +7,102472820,Monocyte_CD14:ENSG00000285437 +7,102474061,Monocyte_CD14:ENSG00000285437 +7,102661899,Monocyte_CD14:ENSG00000285437 +7,102693336,Monocyte_CD14:ENSG00000285437 +7,102697384,Monocyte_CD14:ENSG00000285437 +7,102712875,Monocyte_CD14:ENSG00000285437 +7,102763061,Monocyte_CD14:ENSG00000285437 +7,151213658,Monocyte_CD14:ENSG00000285480 +7,142910750,Monocyte_CD14:ENSG00000286569 +7,102713561,Monocyte_CD14:ENSG00000286830 +7,100178832,Monocyte_CD14:ENSG00000286923 +7,35634189,Monocyte_CD14:ENSG00000287032 +7,44643565,Monocyte_CD14:ENSG00000287574 +7,135096414,Monocyte_CD14:ENSG00000287733 +7,135157183,Monocyte_CD14:ENSG00000287733 +7,1017000,Monocyte_CD14:ENSG00000287883 +1,169683542,Monocyte_CD14:ENSG00000000457 +1,169853231,Monocyte_CD14:ENSG00000000460 +1,27631331,Monocyte_CD14:ENSG00000000938 +1,24141421,Monocyte_CD14:ENSG00000001460 +1,24466856,Monocyte_CD14:ENSG00000001461 +1,23188221,Monocyte_CD14:ENSG00000004487 +1,1690360,Monocyte_CD14:ENSG00000008128 +1,1757643,Monocyte_CD14:ENSG00000008128 +1,1845552,Monocyte_CD14:ENSG00000008128 +1,1851793,Monocyte_CD14:ENSG00000008128 +1,1863692,Monocyte_CD14:ENSG00000008128 +1,1868729,Monocyte_CD14:ENSG00000008128 +1,1875912,Monocyte_CD14:ENSG00000008128 +1,1749174,Monocyte_CD14:ENSG00000008130 +1,114569831,Monocyte_CD14:ENSG00000009307 +1,209769426,Monocyte_CD14:ENSG00000009790 +1,209775805,Monocyte_CD14:ENSG00000009790 +1,171788770,Monocyte_CD14:ENSG00000010165 +1,41187190,Monocyte_CD14:ENSG00000010803 +1,23728345,Monocyte_CD14:ENSG00000011007 +1,11814097,Monocyte_CD14:ENSG00000011021 +1,149919374,Monocyte_CD14:ENSG00000014914 +1,150036413,Monocyte_CD14:ENSG00000014914 +1,24884324,Monocyte_CD14:ENSG00000020633 +1,24914565,Monocyte_CD14:ENSG00000020633 +1,25012308,Monocyte_CD14:ENSG00000020633 +1,193104590,Monocyte_CD14:ENSG00000023572 +1,150180623,Monocyte_CD14:ENSG00000023902 +1,93822136,Monocyte_CD14:ENSG00000023909 +1,160733079,Monocyte_CD14:ENSG00000026751 +1,12207914,Monocyte_CD14:ENSG00000028137 +1,244313405,Monocyte_CD14:ENSG00000035687 +1,244324733,Monocyte_CD14:ENSG00000035687 +1,244334595,Monocyte_CD14:ENSG00000035687 +1,244401230,Monocyte_CD14:ENSG00000035687 +1,77926760,Monocyte_CD14:ENSG00000036549 +1,19333664,Monocyte_CD14:ENSG00000040487 +1,39863752,Monocyte_CD14:ENSG00000043514 +1,39879485,Monocyte_CD14:ENSG00000043514 +1,9235735,Monocyte_CD14:ENSG00000049239 +1,9265644,Monocyte_CD14:ENSG00000049239 +1,7796206,Monocyte_CD14:ENSG00000049245 +1,7847261,Monocyte_CD14:ENSG00000049245 +1,7768218,Monocyte_CD14:ENSG00000049246 +1,7824343,Monocyte_CD14:ENSG00000049246 +1,7578843,Monocyte_CD14:ENSG00000049247 +1,7783697,Monocyte_CD14:ENSG00000049247 +1,7895450,Monocyte_CD14:ENSG00000049247 +1,7901234,Monocyte_CD14:ENSG00000049247 +1,7908424,Monocyte_CD14:ENSG00000049247 +1,7922459,Monocyte_CD14:ENSG00000049247 +1,7930231,Monocyte_CD14:ENSG00000049247 +1,8036100,Monocyte_CD14:ENSG00000049247 +1,8087900,Monocyte_CD14:ENSG00000049247 +1,8143832,Monocyte_CD14:ENSG00000049247 +1,7942038,Monocyte_CD14:ENSG00000049249 +1,114791018,Monocyte_CD14:ENSG00000052723 +1,19311815,Monocyte_CD14:ENSG00000053371 +1,19367184,Monocyte_CD14:ENSG00000053371 +1,19274044,Monocyte_CD14:ENSG00000053372 +1,36136601,Monocyte_CD14:ENSG00000054116 +1,235340217,Monocyte_CD14:ENSG00000054267 +1,241640299,Monocyte_CD14:ENSG00000054277 +1,243256053,Monocyte_CD14:ENSG00000054282 +1,243276050,Monocyte_CD14:ENSG00000054282 +1,243308114,Monocyte_CD14:ENSG00000054282 +1,210366868,Monocyte_CD14:ENSG00000054392 +1,10192595,Monocyte_CD14:ENSG00000054523 +1,10201963,Monocyte_CD14:ENSG00000054523 +1,10211630,Monocyte_CD14:ENSG00000054523 +1,16439071,Monocyte_CD14:ENSG00000055070 +1,179013998,Monocyte_CD14:ENSG00000057252 +1,75655952,Monocyte_CD14:ENSG00000057468 +1,16935719,Monocyte_CD14:ENSG00000058453 +1,203626355,Monocyte_CD14:ENSG00000058668 +1,53872213,Monocyte_CD14:ENSG00000058799 +1,234402178,Monocyte_CD14:ENSG00000059588 +1,234483245,Monocyte_CD14:ENSG00000059588 +1,234488746,Monocyte_CD14:ENSG00000059588 +1,26817084,Monocyte_CD14:ENSG00000060642 +1,29299379,Monocyte_CD14:ENSG00000060656 +1,31279049,Monocyte_CD14:ENSG00000060688 +1,111755537,Monocyte_CD14:ENSG00000064703 +1,111190909,Monocyte_CD14:ENSG00000064886 +1,111223001,Monocyte_CD14:ENSG00000064886 +1,109571955,Monocyte_CD14:ENSG00000065135 +1,118033915,Monocyte_CD14:ENSG00000065183 +1,88869581,Monocyte_CD14:ENSG00000065243 +1,15950587,Monocyte_CD14:ENSG00000065526 +1,212379769,Monocyte_CD14:ENSG00000065600 +1,42749012,Monocyte_CD14:ENSG00000065978 +1,212327027,Monocyte_CD14:ENSG00000066027 +1,42496465,Monocyte_CD14:ENSG00000066185 +1,160564773,Monocyte_CD14:ENSG00000066294 +1,160595412,Monocyte_CD14:ENSG00000066294 +1,92487477,Monocyte_CD14:ENSG00000067208 +1,92802553,Monocyte_CD14:ENSG00000067208 +1,93874288,Monocyte_CD14:ENSG00000067334 +1,218285170,Monocyte_CD14:ENSG00000067533 +1,2112545,Monocyte_CD14:ENSG00000067606 +1,229487545,Monocyte_CD14:ENSG00000069248 +1,205710092,Monocyte_CD14:ENSG00000069275 +1,205750385,Monocyte_CD14:ENSG00000069275 +1,205813234,Monocyte_CD14:ENSG00000069275 +1,6022962,Monocyte_CD14:ENSG00000069424 +1,6093465,Monocyte_CD14:ENSG00000069424 +1,45544274,Monocyte_CD14:ENSG00000070759 +1,44937980,Monocyte_CD14:ENSG00000070785 +1,22019154,Monocyte_CD14:ENSG00000070831 +1,22027784,Monocyte_CD14:ENSG00000070831 +1,22062379,Monocyte_CD14:ENSG00000070831 +1,161589863,Monocyte_CD14:ENSG00000072694 +1,161599072,Monocyte_CD14:ENSG00000072694 +1,161621723,Monocyte_CD14:ENSG00000072694 +1,161670933,Monocyte_CD14:ENSG00000072694 +1,161721827,Monocyte_CD14:ENSG00000072694 +1,186625050,Monocyte_CD14:ENSG00000073756 +1,186665374,Monocyte_CD14:ENSG00000073756 +1,8857153,Monocyte_CD14:ENSG00000074800 +1,8877998,Monocyte_CD14:ENSG00000074800 +1,20864019,Monocyte_CD14:ENSG00000075151 +1,21025392,Monocyte_CD14:ENSG00000075151 +1,170193301,Monocyte_CD14:ENSG00000075945 +1,202571292,Monocyte_CD14:ENSG00000077157 +1,19342741,Monocyte_CD14:ENSG00000077549 +1,19511411,Monocyte_CD14:ENSG00000077549 +1,236135012,Monocyte_CD14:ENSG00000077585 +1,236143510,Monocyte_CD14:ENSG00000077585 +1,236147192,Monocyte_CD14:ENSG00000077585 +1,236151035,Monocyte_CD14:ENSG00000077585 +1,51598250,Monocyte_CD14:ENSG00000078618 +1,1217221,Monocyte_CD14:ENSG00000078808 +1,3835164,Monocyte_CD14:ENSG00000078900 +1,46591961,Monocyte_CD14:ENSG00000079277 +1,100412153,Monocyte_CD14:ENSG00000079335 +1,63398667,Monocyte_CD14:ENSG00000079739 +1,113192060,Monocyte_CD14:ENSG00000081026 +1,113330254,Monocyte_CD14:ENSG00000081026 +1,113692303,Monocyte_CD14:ENSG00000081026 +1,198687227,Monocyte_CD14:ENSG00000081237 +1,198695955,Monocyte_CD14:ENSG00000081237 +1,198710838,Monocyte_CD14:ENSG00000081237 +1,54000895,Monocyte_CD14:ENSG00000081870 +1,11986823,Monocyte_CD14:ENSG00000083444 +1,40341361,Monocyte_CD14:ENSG00000084070 +1,40391858,Monocyte_CD14:ENSG00000084070 +1,39738752,Monocyte_CD14:ENSG00000084072 +1,40287063,Monocyte_CD14:ENSG00000084073 +1,109147848,Monocyte_CD14:ENSG00000085433 +1,111647496,Monocyte_CD14:ENSG00000085465 +1,108198091,Monocyte_CD14:ENSG00000085491 +1,108199012,Monocyte_CD14:ENSG00000085491 +1,51475839,Monocyte_CD14:ENSG00000085832 +1,45580835,Monocyte_CD14:ENSG00000086015 +1,236261266,Monocyte_CD14:ENSG00000086619 +1,63594731,Monocyte_CD14:ENSG00000088035 +1,192571475,Monocyte_CD14:ENSG00000090104 +1,26816585,Monocyte_CD14:ENSG00000090273 +1,20522548,Monocyte_CD14:ENSG00000090432 +1,39181948,Monocyte_CD14:ENSG00000090621 +1,21705021,Monocyte_CD14:ENSG00000090686 +1,119712184,Monocyte_CD14:ENSG00000092621 +1,119712649,Monocyte_CD14:ENSG00000092621 +1,34948200,Monocyte_CD14:ENSG00000092847 +1,36158765,Monocyte_CD14:ENSG00000092847 +1,36527305,Monocyte_CD14:ENSG00000092847 +1,172634784,Monocyte_CD14:ENSG00000094975 +1,6403939,Monocyte_CD14:ENSG00000097021 +1,91499574,Monocyte_CD14:ENSG00000097046 +1,91500849,Monocyte_CD14:ENSG00000097046 +1,54863432,Monocyte_CD14:ENSG00000116133 +1,15552028,Monocyte_CD14:ENSG00000116138 +1,52609649,Monocyte_CD14:ENSG00000116157 +1,175000012,Monocyte_CD14:ENSG00000116161 +1,52927236,Monocyte_CD14:ENSG00000116171 +1,178669165,Monocyte_CD14:ENSG00000116191 +1,3849877,Monocyte_CD14:ENSG00000116198 +1,3622271,Monocyte_CD14:ENSG00000116213 +1,54220701,Monocyte_CD14:ENSG00000116221 +1,6233830,Monocyte_CD14:ENSG00000116237 +1,6236178,Monocyte_CD14:ENSG00000116237 +1,180154403,Monocyte_CD14:ENSG00000116260 +1,180410757,Monocyte_CD14:ENSG00000116260 +1,108765025,Monocyte_CD14:ENSG00000116266 +1,108821512,Monocyte_CD14:ENSG00000116266 +1,6623505,Monocyte_CD14:ENSG00000116273 +1,8222431,Monocyte_CD14:ENSG00000116285 +1,7961718,Monocyte_CD14:ENSG00000116288 +1,7967770,Monocyte_CD14:ENSG00000116288 +1,108880944,Monocyte_CD14:ENSG00000116299 +1,109602965,Monocyte_CD14:ENSG00000116337 +1,29217377,Monocyte_CD14:ENSG00000116350 +1,110209443,Monocyte_CD14:ENSG00000116396 +1,184702824,Monocyte_CD14:ENSG00000116406 +1,184756324,Monocyte_CD14:ENSG00000116406 +1,184772668,Monocyte_CD14:ENSG00000116406 +1,111648663,Monocyte_CD14:ENSG00000116473 +1,111654908,Monocyte_CD14:ENSG00000116473 +1,32786521,Monocyte_CD14:ENSG00000116497 +1,32795048,Monocyte_CD14:ENSG00000116497 +1,35183225,Monocyte_CD14:ENSG00000116560 +1,35302871,Monocyte_CD14:ENSG00000116560 +1,228920300,Monocyte_CD14:ENSG00000116574 +1,228969155,Monocyte_CD14:ENSG00000116574 +1,228979467,Monocyte_CD14:ENSG00000116574 +1,229027889,Monocyte_CD14:ENSG00000116574 +1,229256488,Monocyte_CD14:ENSG00000116574 +1,156119777,Monocyte_CD14:ENSG00000116586 +1,62596178,Monocyte_CD14:ENSG00000116641 +1,63443034,Monocyte_CD14:ENSG00000116652 +1,184542374,Monocyte_CD14:ENSG00000116667 +1,65420500,Monocyte_CD14:ENSG00000116678 +1,65422786,Monocyte_CD14:ENSG00000116678 +1,65435461,Monocyte_CD14:ENSG00000116678 +1,65440503,Monocyte_CD14:ENSG00000116678 +1,65457302,Monocyte_CD14:ENSG00000116678 +1,185429755,Monocyte_CD14:ENSG00000116679 +1,185573868,Monocyte_CD14:ENSG00000116679 +1,11986823,Monocyte_CD14:ENSG00000116688 +1,11938881,Monocyte_CD14:ENSG00000116691 +1,183465654,Monocyte_CD14:ENSG00000116698 +1,183565104,Monocyte_CD14:ENSG00000116701 +1,183617831,Monocyte_CD14:ENSG00000116701 +1,67063406,Monocyte_CD14:ENSG00000116704 +1,186830608,Monocyte_CD14:ENSG00000116711 +1,67686705,Monocyte_CD14:ENSG00000116717 +1,68254788,Monocyte_CD14:ENSG00000116729 +1,68255340,Monocyte_CD14:ENSG00000116729 +1,68283204,Monocyte_CD14:ENSG00000116729 +1,68338575,Monocyte_CD14:ENSG00000116729 +1,13769962,Monocyte_CD14:ENSG00000116731 +1,192801754,Monocyte_CD14:ENSG00000116741 +1,192859403,Monocyte_CD14:ENSG00000116741 +1,114550905,Monocyte_CD14:ENSG00000116752 +1,70401305,Monocyte_CD14:ENSG00000116761 +1,15719450,Monocyte_CD14:ENSG00000116786 +1,74729478,Monocyte_CD14:ENSG00000116791 +1,113728673,Monocyte_CD14:ENSG00000116793 +1,117059712,Monocyte_CD14:ENSG00000116830 +1,117060100,Monocyte_CD14:ENSG00000116830 +1,117061939,Monocyte_CD14:ENSG00000116830 +1,199922616,Monocyte_CD14:ENSG00000116833 +1,200960260,Monocyte_CD14:ENSG00000116852 +1,201154653,Monocyte_CD14:ENSG00000116857 +1,36172107,Monocyte_CD14:ENSG00000116871 +1,36399960,Monocyte_CD14:ENSG00000116898 +1,231174864,Monocyte_CD14:ENSG00000116906 +1,231530530,Monocyte_CD14:ENSG00000116918 +1,37711049,Monocyte_CD14:ENSG00000116922 +1,235954982,Monocyte_CD14:ENSG00000116962 +1,236024874,Monocyte_CD14:ENSG00000116962 +1,236066793,Monocyte_CD14:ENSG00000116962 +1,236066977,Monocyte_CD14:ENSG00000116962 +1,236092142,Monocyte_CD14:ENSG00000116962 +1,236098535,Monocyte_CD14:ENSG00000116962 +1,236558606,Monocyte_CD14:ENSG00000116977 +1,236904149,Monocyte_CD14:ENSG00000116984 +1,39782459,Monocyte_CD14:ENSG00000116985 +1,39905507,Monocyte_CD14:ENSG00000116985 +1,39833788,Monocyte_CD14:ENSG00000116990 +1,39907754,Monocyte_CD14:ENSG00000116990 +1,39913211,Monocyte_CD14:ENSG00000116990 +1,232610930,Monocyte_CD14:ENSG00000116991 +1,232630975,Monocyte_CD14:ENSG00000116991 +1,241521531,Monocyte_CD14:ENSG00000117009 +1,241550019,Monocyte_CD14:ENSG00000117009 +1,40562876,Monocyte_CD14:ENSG00000117010 +1,243666304,Monocyte_CD14:ENSG00000117020 +1,243674244,Monocyte_CD14:ENSG00000117020 +1,243753124,Monocyte_CD14:ENSG00000117020 +1,75633810,Monocyte_CD14:ENSG00000117054 +1,75756863,Monocyte_CD14:ENSG00000117054 +1,160684968,Monocyte_CD14:ENSG00000117090 +1,160678691,Monocyte_CD14:ENSG00000117091 +1,160684968,Monocyte_CD14:ENSG00000117091 +1,160705467,Monocyte_CD14:ENSG00000117091 +1,160709322,Monocyte_CD14:ENSG00000117091 +1,17098582,Monocyte_CD14:ENSG00000117115 +1,17054158,Monocyte_CD14:ENSG00000117118 +1,202871822,Monocyte_CD14:ENSG00000117139 +1,84570850,Monocyte_CD14:ENSG00000117151 +1,84572637,Monocyte_CD14:ENSG00000117151 +1,84574072,Monocyte_CD14:ENSG00000117151 +1,203013024,Monocyte_CD14:ENSG00000117153 +1,85708153,Monocyte_CD14:ENSG00000117174 +1,205164747,Monocyte_CD14:ENSG00000117222 +1,89015879,Monocyte_CD14:ENSG00000117226 +1,20646648,Monocyte_CD14:ENSG00000117242 +1,20678823,Monocyte_CD14:ENSG00000117245 +1,146040806,Monocyte_CD14:ENSG00000117262 +1,205788587,Monocyte_CD14:ENSG00000117280 +1,205827341,Monocyte_CD14:ENSG00000117280 +1,21262110,Monocyte_CD14:ENSG00000117298 +1,21336537,Monocyte_CD14:ENSG00000117298 +1,208446926,Monocyte_CD14:ENSG00000117322 +1,207807218,Monocyte_CD14:ENSG00000117335 +1,42749012,Monocyte_CD14:ENSG00000117385 +1,43167145,Monocyte_CD14:ENSG00000117395 +1,44704713,Monocyte_CD14:ENSG00000117407 +1,43995185,Monocyte_CD14:ENSG00000117410 +1,44819992,Monocyte_CD14:ENSG00000117425 +1,45544274,Monocyte_CD14:ENSG00000117448 +1,45480982,Monocyte_CD14:ENSG00000117450 +1,45521902,Monocyte_CD14:ENSG00000117450 +1,46133231,Monocyte_CD14:ENSG00000117461 +1,169697320,Monocyte_CD14:ENSG00000117475 +1,169501377,Monocyte_CD14:ENSG00000117479 +1,46234461,Monocyte_CD14:ENSG00000117480 +1,46340570,Monocyte_CD14:ENSG00000117481 +1,93228615,Monocyte_CD14:ENSG00000117500 +1,93381632,Monocyte_CD14:ENSG00000117505 +1,95372028,Monocyte_CD14:ENSG00000117519 +1,94602910,Monocyte_CD14:ENSG00000117525 +1,94412172,Monocyte_CD14:ENSG00000117528 +1,171667216,Monocyte_CD14:ENSG00000117533 +1,171748352,Monocyte_CD14:ENSG00000117533 +1,96757324,Monocyte_CD14:ENSG00000117569 +1,173458937,Monocyte_CD14:ENSG00000117592 +1,209820652,Monocyte_CD14:ENSG00000117595 +1,209826670,Monocyte_CD14:ENSG00000117597 +1,173993405,Monocyte_CD14:ENSG00000117601 +1,24466856,Monocyte_CD14:ENSG00000117602 +1,25274256,Monocyte_CD14:ENSG00000117616 +1,100197383,Monocyte_CD14:ENSG00000117620 +1,25819958,Monocyte_CD14:ENSG00000117640 +1,25730925,Monocyte_CD14:ENSG00000117643 +1,26552885,Monocyte_CD14:ENSG00000117676 +1,26552885,Monocyte_CD14:ENSG00000117682 +1,212390518,Monocyte_CD14:ENSG00000117691 +1,212745173,Monocyte_CD14:ENSG00000117697 +1,212825582,Monocyte_CD14:ENSG00000117697 +1,214640144,Monocyte_CD14:ENSG00000117724 +1,27885761,Monocyte_CD14:ENSG00000117748 +1,27914572,Monocyte_CD14:ENSG00000117748 +1,27781105,Monocyte_CD14:ENSG00000117758 +1,51559861,Monocyte_CD14:ENSG00000117859 +1,52055186,Monocyte_CD14:ENSG00000117862 +1,200641540,Monocyte_CD14:ENSG00000118193 +1,200672894,Monocyte_CD14:ENSG00000118197 +1,200676927,Monocyte_CD14:ENSG00000118200 +1,200738389,Monocyte_CD14:ENSG00000118200 +1,161802353,Monocyte_CD14:ENSG00000118217 +1,150272642,Monocyte_CD14:ENSG00000118292 +1,70302448,Monocyte_CD14:ENSG00000118454 +1,113887996,Monocyte_CD14:ENSG00000118655 +1,113918966,Monocyte_CD14:ENSG00000118655 +1,220182049,Monocyte_CD14:ENSG00000118873 +1,230856871,Monocyte_CD14:ENSG00000119280 +1,36477539,Monocyte_CD14:ENSG00000119535 +1,36478697,Monocyte_CD14:ENSG00000119535 +1,175015010,Monocyte_CD14:ENSG00000120333 +1,170532340,Monocyte_CD14:ENSG00000120370 +1,12125898,Monocyte_CD14:ENSG00000120949 +1,52896256,Monocyte_CD14:ENSG00000121310 +1,52927236,Monocyte_CD14:ENSG00000121310 +1,185014467,Monocyte_CD14:ENSG00000121481 +1,185173412,Monocyte_CD14:ENSG00000121486 +1,31279049,Monocyte_CD14:ENSG00000121766 +1,146157137,Monocyte_CD14:ENSG00000121851 +1,110901150,Monocyte_CD14:ENSG00000121931 +1,111484357,Monocyte_CD14:ENSG00000121933 +1,111497264,Monocyte_CD14:ENSG00000121933 +1,108963196,Monocyte_CD14:ENSG00000121940 +1,108930299,Monocyte_CD14:ENSG00000121957 +1,160324778,Monocyte_CD14:ENSG00000122218 +1,160862395,Monocyte_CD14:ENSG00000122223 +1,160886362,Monocyte_CD14:ENSG00000122223 +1,86367944,Monocyte_CD14:ENSG00000122417 +1,86396263,Monocyte_CD14:ENSG00000122417 +1,78374207,Monocyte_CD14:ENSG00000122420 +1,78489704,Monocyte_CD14:ENSG00000122420 +1,78580452,Monocyte_CD14:ENSG00000122420 +1,84493455,Monocyte_CD14:ENSG00000122432 +1,99890241,Monocyte_CD14:ENSG00000122477 +1,95154862,Monocyte_CD14:ENSG00000122481 +1,95234273,Monocyte_CD14:ENSG00000122481 +1,95244131,Monocyte_CD14:ENSG00000122481 +1,95247703,Monocyte_CD14:ENSG00000122481 +1,93180849,Monocyte_CD14:ENSG00000122483 +1,93293362,Monocyte_CD14:ENSG00000122483 +1,92212458,Monocyte_CD14:ENSG00000122484 +1,46701176,Monocyte_CD14:ENSG00000123472 +1,211821274,Monocyte_CD14:ENSG00000123684 +1,211932264,Monocyte_CD14:ENSG00000123684 +1,211932280,Monocyte_CD14:ENSG00000123684 +1,212061814,Monocyte_CD14:ENSG00000123684 +1,212670721,Monocyte_CD14:ENSG00000123685 +1,212694611,Monocyte_CD14:ENSG00000123685 +1,212699620,Monocyte_CD14:ENSG00000123685 +1,209647260,Monocyte_CD14:ENSG00000123689 +1,209660027,Monocyte_CD14:ENSG00000123689 +1,209672215,Monocyte_CD14:ENSG00000123689 +1,207071712,Monocyte_CD14:ENSG00000123836 +1,207105999,Monocyte_CD14:ENSG00000123838 +1,62550685,Monocyte_CD14:ENSG00000125703 +1,62784360,Monocyte_CD14:ENSG00000125703 +1,62834024,Monocyte_CD14:ENSG00000125703 +1,62886493,Monocyte_CD14:ENSG00000125703 +1,44997220,Monocyte_CD14:ENSG00000126088 +1,44998617,Monocyte_CD14:ENSG00000126088 +1,43663538,Monocyte_CD14:ENSG00000126091 +1,44679184,Monocyte_CD14:ENSG00000126106 +1,44680976,Monocyte_CD14:ENSG00000126106 +1,44997220,Monocyte_CD14:ENSG00000126107 +1,28235349,Monocyte_CD14:ENSG00000126698 +1,41767537,Monocyte_CD14:ENSG00000127124 +1,19229289,Monocyte_CD14:ENSG00000127463 +1,20864019,Monocyte_CD14:ENSG00000127483 +1,39103093,Monocyte_CD14:ENSG00000127603 +1,39196982,Monocyte_CD14:ENSG00000127603 +1,39386241,Monocyte_CD14:ENSG00000127603 +1,26252036,Monocyte_CD14:ENSG00000130695 +1,28252690,Monocyte_CD14:ENSG00000130766 +1,28235349,Monocyte_CD14:ENSG00000130770 +1,28352642,Monocyte_CD14:ENSG00000130772 +1,27401440,Monocyte_CD14:ENSG00000130775 +1,27882855,Monocyte_CD14:ENSG00000130775 +1,10130826,Monocyte_CD14:ENSG00000130939 +1,40037391,Monocyte_CD14:ENSG00000131236 +1,40075472,Monocyte_CD14:ENSG00000131236 +1,40093806,Monocyte_CD14:ENSG00000131238 +1,40094648,Monocyte_CD14:ENSG00000131238 +1,40094786,Monocyte_CD14:ENSG00000131238 +1,5991921,Monocyte_CD14:ENSG00000131697 +1,147297358,Monocyte_CD14:ENSG00000131778 +1,147191146,Monocyte_CD14:ENSG00000131781 +1,147218275,Monocyte_CD14:ENSG00000131781 +1,147229490,Monocyte_CD14:ENSG00000131781 +1,147297358,Monocyte_CD14:ENSG00000131791 +1,48470359,Monocyte_CD14:ENSG00000132122 +1,45654243,Monocyte_CD14:ENSG00000132128 +1,71078386,Monocyte_CD14:ENSG00000132485 +1,155701841,Monocyte_CD14:ENSG00000132676 +1,160166301,Monocyte_CD14:ENSG00000132681 +1,156958700,Monocyte_CD14:ENSG00000132694 +1,157092166,Monocyte_CD14:ENSG00000132694 +1,155768225,Monocyte_CD14:ENSG00000132718 +1,45632585,Monocyte_CD14:ENSG00000132780 +1,45384647,Monocyte_CD14:ENSG00000132781 +1,61741331,Monocyte_CD14:ENSG00000132849 +1,16223037,Monocyte_CD14:ENSG00000132881 +1,15552028,Monocyte_CD14:ENSG00000132906 +1,203125034,Monocyte_CD14:ENSG00000133055 +1,204561374,Monocyte_CD14:ENSG00000133056 +1,205164747,Monocyte_CD14:ENSG00000133059 +1,205823681,Monocyte_CD14:ENSG00000133065 +1,22734458,Monocyte_CD14:ENSG00000133216 +1,109690343,Monocyte_CD14:ENSG00000134184 +1,108550551,Monocyte_CD14:ENSG00000134186 +1,115075038,Monocyte_CD14:ENSG00000134198 +1,109740347,Monocyte_CD14:ENSG00000134202 +1,108046924,Monocyte_CD14:ENSG00000134215 +1,108048966,Monocyte_CD14:ENSG00000134215 +1,109274902,Monocyte_CD14:ENSG00000134222 +1,113692303,Monocyte_CD14:ENSG00000134242 +1,109283458,Monocyte_CD14:ENSG00000134243 +1,116932535,Monocyte_CD14:ENSG00000134247 +1,117001658,Monocyte_CD14:ENSG00000134247 +1,117004761,Monocyte_CD14:ENSG00000134247 +1,110383659,Monocyte_CD14:ENSG00000134248 +1,110425172,Monocyte_CD14:ENSG00000134248 +1,119982853,Monocyte_CD14:ENSG00000134250 +1,120007180,Monocyte_CD14:ENSG00000134250 +1,120131304,Monocyte_CD14:ENSG00000134250 +1,111175261,Monocyte_CD14:ENSG00000134255 +1,111190909,Monocyte_CD14:ENSG00000134255 +1,111197536,Monocyte_CD14:ENSG00000134255 +1,117001658,Monocyte_CD14:ENSG00000134256 +1,117007694,Monocyte_CD14:ENSG00000134256 +1,117014556,Monocyte_CD14:ENSG00000134256 +1,117018992,Monocyte_CD14:ENSG00000134256 +1,201538654,Monocyte_CD14:ENSG00000134369 +1,201716013,Monocyte_CD14:ENSG00000134369 +1,193124168,Monocyte_CD14:ENSG00000134371 +1,201968163,Monocyte_CD14:ENSG00000134375 +1,31100010,Monocyte_CD14:ENSG00000134644 +1,37514332,Monocyte_CD14:ENSG00000134697 +1,52488094,Monocyte_CD14:ENSG00000134744 +1,52343213,Monocyte_CD14:ENSG00000134748 +1,233263147,Monocyte_CD14:ENSG00000135749 +1,233295001,Monocyte_CD14:ENSG00000135749 +1,229659936,Monocyte_CD14:ENSG00000135763 +1,231352248,Monocyte_CD14:ENSG00000135766 +1,231379028,Monocyte_CD14:ENSG00000135766 +1,230602299,Monocyte_CD14:ENSG00000135775 +1,232925544,Monocyte_CD14:ENSG00000135778 +1,232955697,Monocyte_CD14:ENSG00000135778 +1,229579069,Monocyte_CD14:ENSG00000135801 +1,182148181,Monocyte_CD14:ENSG00000135821 +1,182154011,Monocyte_CD14:ENSG00000135821 +1,182390361,Monocyte_CD14:ENSG00000135821 +1,182416042,Monocyte_CD14:ENSG00000135821 +1,181012650,Monocyte_CD14:ENSG00000135823 +1,182574500,Monocyte_CD14:ENSG00000135828 +1,182585628,Monocyte_CD14:ENSG00000135828 +1,182590569,Monocyte_CD14:ENSG00000135828 +1,182843587,Monocyte_CD14:ENSG00000135838 +1,182850589,Monocyte_CD14:ENSG00000135838 +1,184868846,Monocyte_CD14:ENSG00000135842 +1,184968462,Monocyte_CD14:ENSG00000135842 +1,184973660,Monocyte_CD14:ENSG00000135842 +1,172381070,Monocyte_CD14:ENSG00000135845 +1,183005467,Monocyte_CD14:ENSG00000135862 +1,183099174,Monocyte_CD14:ENSG00000135862 +1,174929676,Monocyte_CD14:ENSG00000135870 +1,219966914,Monocyte_CD14:ENSG00000136628 +1,220046742,Monocyte_CD14:ENSG00000136628 +1,221007854,Monocyte_CD14:ENSG00000136630 +1,150185443,Monocyte_CD14:ENSG00000136631 +1,206771471,Monocyte_CD14:ENSG00000136634 +1,83879478,Monocyte_CD14:ENSG00000137941 +1,93449657,Monocyte_CD14:ENSG00000137942 +1,88917399,Monocyte_CD14:ENSG00000137944 +1,89015879,Monocyte_CD14:ENSG00000137944 +1,88886926,Monocyte_CD14:ENSG00000137947 +1,75795666,Monocyte_CD14:ENSG00000137955 +1,78660331,Monocyte_CD14:ENSG00000137965 +1,100311827,Monocyte_CD14:ENSG00000137996 +1,206773430,Monocyte_CD14:ENSG00000142224 +1,9061439,Monocyte_CD14:ENSG00000142583 +1,8354625,Monocyte_CD14:ENSG00000142599 +1,8424763,Monocyte_CD14:ENSG00000142599 +1,8624715,Monocyte_CD14:ENSG00000142599 +1,2574790,Monocyte_CD14:ENSG00000142606 +1,2594221,Monocyte_CD14:ENSG00000142606 +1,15245030,Monocyte_CD14:ENSG00000142621 +1,15247215,Monocyte_CD14:ENSG00000142621 +1,15263390,Monocyte_CD14:ENSG00000142621 +1,16210794,Monocyte_CD14:ENSG00000142632 +1,15409565,Monocyte_CD14:ENSG00000142634 +1,15411869,Monocyte_CD14:ENSG00000142634 +1,15429306,Monocyte_CD14:ENSG00000142634 +1,10484177,Monocyte_CD14:ENSG00000142655 +1,10342784,Monocyte_CD14:ENSG00000142657 +1,26319315,Monocyte_CD14:ENSG00000142669 +1,26330500,Monocyte_CD14:ENSG00000142669 +1,23694734,Monocyte_CD14:ENSG00000142676 +1,23728345,Monocyte_CD14:ENSG00000142676 +1,26170849,Monocyte_CD14:ENSG00000142684 +1,26190354,Monocyte_CD14:ENSG00000142684 +1,26319315,Monocyte_CD14:ENSG00000142684 +1,35815735,Monocyte_CD14:ENSG00000142686 +1,35563742,Monocyte_CD14:ENSG00000142687 +1,36323755,Monocyte_CD14:ENSG00000142694 +1,27355276,Monocyte_CD14:ENSG00000142733 +1,27362323,Monocyte_CD14:ENSG00000142733 +1,27362323,Monocyte_CD14:ENSG00000142765 +1,27333849,Monocyte_CD14:ENSG00000142784 +1,21440603,Monocyte_CD14:ENSG00000142794 +1,21446869,Monocyte_CD14:ENSG00000142794 +1,21967668,Monocyte_CD14:ENSG00000142798 +1,63443034,Monocyte_CD14:ENSG00000142856 +1,85272712,Monocyte_CD14:ENSG00000142867 +1,84506477,Monocyte_CD14:ENSG00000142875 +1,77432003,Monocyte_CD14:ENSG00000142892 +1,44791529,Monocyte_CD14:ENSG00000142937 +1,87296410,Monocyte_CD14:ENSG00000143013 +1,87298346,Monocyte_CD14:ENSG00000143013 +1,87511899,Monocyte_CD14:ENSG00000143013 +1,119618199,Monocyte_CD14:ENSG00000143067 +1,111448032,Monocyte_CD14:ENSG00000143110 +1,111477153,Monocyte_CD14:ENSG00000143110 +1,111648663,Monocyte_CD14:ENSG00000143110 +1,110898232,Monocyte_CD14:ENSG00000143119 +1,109241403,Monocyte_CD14:ENSG00000143126 +1,168146126,Monocyte_CD14:ENSG00000143147 +1,165667062,Monocyte_CD14:ENSG00000143149 +1,165686848,Monocyte_CD14:ENSG00000143149 +1,165698533,Monocyte_CD14:ENSG00000143149 +1,169109918,Monocyte_CD14:ENSG00000143153 +1,169110087,Monocyte_CD14:ENSG00000143153 +1,169241461,Monocyte_CD14:ENSG00000143153 +1,168146126,Monocyte_CD14:ENSG00000143155 +1,169367259,Monocyte_CD14:ENSG00000143156 +1,166835569,Monocyte_CD14:ENSG00000143157 +1,167548480,Monocyte_CD14:ENSG00000143162 +1,167562584,Monocyte_CD14:ENSG00000143162 +1,167563337,Monocyte_CD14:ENSG00000143162 +1,167563575,Monocyte_CD14:ENSG00000143162 +1,167599607,Monocyte_CD14:ENSG00000143162 +1,168110573,Monocyte_CD14:ENSG00000143164 +1,167090207,Monocyte_CD14:ENSG00000143167 +1,168241998,Monocyte_CD14:ENSG00000143178 +1,167326436,Monocyte_CD14:ENSG00000143190 +1,165598243,Monocyte_CD14:ENSG00000143198 +1,165630817,Monocyte_CD14:ENSG00000143198 +1,176095741,Monocyte_CD14:ENSG00000143207 +1,161158700,Monocyte_CD14:ENSG00000143222 +1,161306146,Monocyte_CD14:ENSG00000143226 +1,161487134,Monocyte_CD14:ENSG00000143226 +1,161517491,Monocyte_CD14:ENSG00000143226 +1,161589863,Monocyte_CD14:ENSG00000143226 +1,161629988,Monocyte_CD14:ENSG00000143226 +1,161631166,Monocyte_CD14:ENSG00000143226 +1,161670933,Monocyte_CD14:ENSG00000143226 +1,161343809,Monocyte_CD14:ENSG00000143252 +1,160009170,Monocyte_CD14:ENSG00000143315 +1,160073849,Monocyte_CD14:ENSG00000143315 +1,160166301,Monocyte_CD14:ENSG00000143318 +1,179201994,Monocyte_CD14:ENSG00000143322 +1,180712912,Monocyte_CD14:ENSG00000143324 +1,179908558,Monocyte_CD14:ENSG00000143337 +1,183596703,Monocyte_CD14:ENSG00000143344 +1,219174448,Monocyte_CD14:ENSG00000143353 +1,150451706,Monocyte_CD14:ENSG00000143369 +1,150297108,Monocyte_CD14:ENSG00000143374 +1,151654481,Monocyte_CD14:ENSG00000143376 +1,151680666,Monocyte_CD14:ENSG00000143376 +1,150552399,Monocyte_CD14:ENSG00000143382 +1,150579684,Monocyte_CD14:ENSG00000143384 +1,150623038,Monocyte_CD14:ENSG00000143384 +1,150809484,Monocyte_CD14:ENSG00000143387 +1,150817477,Monocyte_CD14:ENSG00000143387 +1,150185443,Monocyte_CD14:ENSG00000143401 +1,151006429,Monocyte_CD14:ENSG00000143409 +1,151378584,Monocyte_CD14:ENSG00000143416 +1,150898929,Monocyte_CD14:ENSG00000143418 +1,150583195,Monocyte_CD14:ENSG00000143420 +1,151737515,Monocyte_CD14:ENSG00000143436 +1,150965185,Monocyte_CD14:ENSG00000143437 +1,151435391,Monocyte_CD14:ENSG00000143442 +1,151762518,Monocyte_CD14:ENSG00000143450 +1,150722004,Monocyte_CD14:ENSG00000143452 +1,150809484,Monocyte_CD14:ENSG00000143452 +1,150809484,Monocyte_CD14:ENSG00000143457 +1,151062660,Monocyte_CD14:ENSG00000143458 +1,151062966,Monocyte_CD14:ENSG00000143458 +1,206597569,Monocyte_CD14:ENSG00000143486 +1,214282845,Monocyte_CD14:ENSG00000143499 +1,221975663,Monocyte_CD14:ENSG00000143507 +1,223813403,Monocyte_CD14:ENSG00000143514 +1,155060802,Monocyte_CD14:ENSG00000143537 +1,155062047,Monocyte_CD14:ENSG00000143537 +1,153880027,Monocyte_CD14:ENSG00000143545 +1,153365381,Monocyte_CD14:ENSG00000143546 +1,153388107,Monocyte_CD14:ENSG00000143546 +1,154150681,Monocyte_CD14:ENSG00000143549 +1,154154759,Monocyte_CD14:ENSG00000143552 +1,153823911,Monocyte_CD14:ENSG00000143553 +1,153710832,Monocyte_CD14:ENSG00000143554 +1,153775047,Monocyte_CD14:ENSG00000143554 +1,154295147,Monocyte_CD14:ENSG00000143569 +1,153903196,Monocyte_CD14:ENSG00000143570 +1,154279062,Monocyte_CD14:ENSG00000143575 +1,153968254,Monocyte_CD14:ENSG00000143578 +1,154206719,Monocyte_CD14:ENSG00000143612 +1,153903196,Monocyte_CD14:ENSG00000143614 +1,155908910,Monocyte_CD14:ENSG00000143622 +1,230066167,Monocyte_CD14:ENSG00000143641 +1,230956434,Monocyte_CD14:ENSG00000143643 +1,246694480,Monocyte_CD14:ENSG00000143653 +1,246702038,Monocyte_CD14:ENSG00000143653 +1,246725246,Monocyte_CD14:ENSG00000143653 +1,235701661,Monocyte_CD14:ENSG00000143669 +1,235938332,Monocyte_CD14:ENSG00000143669 +1,235942586,Monocyte_CD14:ENSG00000143669 +1,235954982,Monocyte_CD14:ENSG00000143669 +1,233332632,Monocyte_CD14:ENSG00000143674 +1,233338783,Monocyte_CD14:ENSG00000143674 +1,233379201,Monocyte_CD14:ENSG00000143674 +1,243190869,Monocyte_CD14:ENSG00000143702 +1,225785994,Monocyte_CD14:ENSG00000143742 +1,224265327,Monocyte_CD14:ENSG00000143748 +1,224171647,Monocyte_CD14:ENSG00000143753 +1,224207494,Monocyte_CD14:ENSG00000143753 +1,224235339,Monocyte_CD14:ENSG00000143753 +1,224107066,Monocyte_CD14:ENSG00000143756 +1,224365162,Monocyte_CD14:ENSG00000143771 +1,226755736,Monocyte_CD14:ENSG00000143772 +1,228147415,Monocyte_CD14:ENSG00000143774 +1,227142568,Monocyte_CD14:ENSG00000143776 +1,227350670,Monocyte_CD14:ENSG00000143776 +1,226350097,Monocyte_CD14:ENSG00000143799 +1,226854757,Monocyte_CD14:ENSG00000143801 +1,225924237,Monocyte_CD14:ENSG00000143811 +1,225408046,Monocyte_CD14:ENSG00000143815 +1,225892601,Monocyte_CD14:ENSG00000143819 +1,203059567,Monocyte_CD14:ENSG00000143847 +1,203125034,Monocyte_CD14:ENSG00000143847 +1,202160058,Monocyte_CD14:ENSG00000143851 +1,202160068,Monocyte_CD14:ENSG00000143851 +1,202142502,Monocyte_CD14:ENSG00000143862 +1,149782720,Monocyte_CD14:ENSG00000150337 +1,149786425,Monocyte_CD14:ENSG00000150337 +1,149796944,Monocyte_CD14:ENSG00000150337 +1,192053735,Monocyte_CD14:ENSG00000150681 +1,192158494,Monocyte_CD14:ENSG00000150681 +1,192172542,Monocyte_CD14:ENSG00000150681 +1,198188610,Monocyte_CD14:ENSG00000151414 +1,174234906,Monocyte_CD14:ENSG00000152061 +1,174569832,Monocyte_CD14:ENSG00000152061 +1,162419581,Monocyte_CD14:ENSG00000152332 +1,162536556,Monocyte_CD14:ENSG00000152332 +1,66732868,Monocyte_CD14:ENSG00000152760 +1,235267775,Monocyte_CD14:ENSG00000152904 +1,181053123,Monocyte_CD14:ENSG00000153029 +1,244829077,Monocyte_CD14:ENSG00000153187 +1,211382724,Monocyte_CD14:ENSG00000153363 +1,211436475,Monocyte_CD14:ENSG00000153363 +1,84999960,Monocyte_CD14:ENSG00000153898 +1,86900344,Monocyte_CD14:ENSG00000153936 +1,77926760,Monocyte_CD14:ENSG00000154027 +1,52455675,Monocyte_CD14:ENSG00000154222 +1,222618600,Monocyte_CD14:ENSG00000154305 +1,222859133,Monocyte_CD14:ENSG00000154309 +1,228230750,Monocyte_CD14:ENSG00000154358 +1,229326006,Monocyte_CD14:ENSG00000154429 +1,229341973,Monocyte_CD14:ENSG00000154429 +1,229409789,Monocyte_CD14:ENSG00000154429 +1,89186326,Monocyte_CD14:ENSG00000154451 +1,89263700,Monocyte_CD14:ENSG00000154451 +1,89266934,Monocyte_CD14:ENSG00000154451 +1,89268309,Monocyte_CD14:ENSG00000154451 +1,92912941,Monocyte_CD14:ENSG00000154511 +1,92969871,Monocyte_CD14:ENSG00000154511 +1,112700875,Monocyte_CD14:ENSG00000155366 +1,112704941,Monocyte_CD14:ENSG00000155366 +1,112881382,Monocyte_CD14:ENSG00000155380 +1,112881772,Monocyte_CD14:ENSG00000155380 +1,118033915,Monocyte_CD14:ENSG00000155761 +1,111133952,Monocyte_CD14:ENSG00000156171 +1,111139339,Monocyte_CD14:ENSG00000156171 +1,111140082,Monocyte_CD14:ENSG00000156171 +1,111190909,Monocyte_CD14:ENSG00000156171 +1,99759006,Monocyte_CD14:ENSG00000156869 +1,100138996,Monocyte_CD14:ENSG00000156876 +1,186365027,Monocyte_CD14:ENSG00000157181 +1,53230210,Monocyte_CD14:ENSG00000157184 +1,16439071,Monocyte_CD14:ENSG00000157191 +1,54400612,Monocyte_CD14:ENSG00000157216 +1,2574790,Monocyte_CD14:ENSG00000157870 +1,2686274,Monocyte_CD14:ENSG00000157870 +1,2562891,Monocyte_CD14:ENSG00000157873 +1,2609034,Monocyte_CD14:ENSG00000157873 +1,2507543,Monocyte_CD14:ENSG00000157881 +1,2403284,Monocyte_CD14:ENSG00000157916 +1,2403417,Monocyte_CD14:ENSG00000157916 +1,25548539,Monocyte_CD14:ENSG00000157978 +1,26287466,Monocyte_CD14:ENSG00000158062 +1,26306694,Monocyte_CD14:ENSG00000158062 +1,26319175,Monocyte_CD14:ENSG00000158062 +1,3611728,Monocyte_CD14:ENSG00000158109 +1,3627519,Monocyte_CD14:ENSG00000158109 +1,3631572,Monocyte_CD14:ENSG00000158109 +1,27950742,Monocyte_CD14:ENSG00000158156 +1,28089646,Monocyte_CD14:ENSG00000158161 +1,6206036,Monocyte_CD14:ENSG00000158286 +1,158422618,Monocyte_CD14:ENSG00000158473 +1,158365122,Monocyte_CD14:ENSG00000158477 +1,158422618,Monocyte_CD14:ENSG00000158485 +1,158422618,Monocyte_CD14:ENSG00000158488 +1,204406541,Monocyte_CD14:ENSG00000158615 +1,159922081,Monocyte_CD14:ENSG00000158710 +1,159923873,Monocyte_CD14:ENSG00000158710 +1,160009170,Monocyte_CD14:ENSG00000158710 +1,205628621,Monocyte_CD14:ENSG00000158711 +1,159826460,Monocyte_CD14:ENSG00000158714 +1,159826628,Monocyte_CD14:ENSG00000158714 +1,159779240,Monocyte_CD14:ENSG00000158716 +1,161021086,Monocyte_CD14:ENSG00000158769 +1,161032600,Monocyte_CD14:ENSG00000158769 +1,160983478,Monocyte_CD14:ENSG00000158773 +1,161019112,Monocyte_CD14:ENSG00000158773 +1,161044554,Monocyte_CD14:ENSG00000158773 +1,161118149,Monocyte_CD14:ENSG00000158793 +1,160357216,Monocyte_CD14:ENSG00000158796 +1,161970769,Monocyte_CD14:ENSG00000158796 +1,20589042,Monocyte_CD14:ENSG00000158825 +1,20589096,Monocyte_CD14:ENSG00000158825 +1,20590607,Monocyte_CD14:ENSG00000158825 +1,20599558,Monocyte_CD14:ENSG00000158825 +1,20605385,Monocyte_CD14:ENSG00000158825 +1,20589096,Monocyte_CD14:ENSG00000158828 +1,20664780,Monocyte_CD14:ENSG00000158828 +1,161186098,Monocyte_CD14:ENSG00000158850 +1,161186098,Monocyte_CD14:ENSG00000158864 +1,161214172,Monocyte_CD14:ENSG00000158864 +1,161207755,Monocyte_CD14:ENSG00000158869 +1,161215247,Monocyte_CD14:ENSG00000158869 +1,161218486,Monocyte_CD14:ENSG00000158869 +1,161219103,Monocyte_CD14:ENSG00000158869 +1,161218486,Monocyte_CD14:ENSG00000158882 +1,161224731,Monocyte_CD14:ENSG00000158882 +1,161306146,Monocyte_CD14:ENSG00000158887 +1,29047285,Monocyte_CD14:ENSG00000159023 +1,201504831,Monocyte_CD14:ENSG00000159176 +1,22648301,Monocyte_CD14:ENSG00000159189 +1,43993443,Monocyte_CD14:ENSG00000159214 +1,17283250,Monocyte_CD14:ENSG00000159339 +1,17298429,Monocyte_CD14:ENSG00000159339 +1,17308916,Monocyte_CD14:ENSG00000159339 +1,17334395,Monocyte_CD14:ENSG00000159339 +1,17342068,Monocyte_CD14:ENSG00000159339 +1,17347907,Monocyte_CD14:ENSG00000159339 +1,202968822,Monocyte_CD14:ENSG00000159346 +1,202952475,Monocyte_CD14:ENSG00000159348 +1,202968822,Monocyte_CD14:ENSG00000159348 +1,151351796,Monocyte_CD14:ENSG00000159352 +1,203278773,Monocyte_CD14:ENSG00000159388 +1,18888103,Monocyte_CD14:ENSG00000159423 +1,151907613,Monocyte_CD14:ENSG00000159445 +1,43390239,Monocyte_CD14:ENSG00000159479 +1,46340570,Monocyte_CD14:ENSG00000159596 +1,46701176,Monocyte_CD14:ENSG00000159658 +1,46719410,Monocyte_CD14:ENSG00000159658 +1,1434243,Monocyte_CD14:ENSG00000160072 +1,1574445,Monocyte_CD14:ENSG00000160075 +1,33257610,Monocyte_CD14:ENSG00000160094 +1,154622124,Monocyte_CD14:ENSG00000160710 +1,154438451,Monocyte_CD14:ENSG00000160712 +1,154460448,Monocyte_CD14:ENSG00000160712 +1,154549772,Monocyte_CD14:ENSG00000160714 +1,156276644,Monocyte_CD14:ENSG00000160781 +1,156343670,Monocyte_CD14:ENSG00000160783 +1,156119777,Monocyte_CD14:ENSG00000160789 +1,156586457,Monocyte_CD14:ENSG00000160818 +1,47318294,Monocyte_CD14:ENSG00000162368 +1,51015794,Monocyte_CD14:ENSG00000162374 +1,52752845,Monocyte_CD14:ENSG00000162378 +1,53239502,Monocyte_CD14:ENSG00000162384 +1,54546741,Monocyte_CD14:ENSG00000162390 +1,54609167,Monocyte_CD14:ENSG00000162390 +1,54764790,Monocyte_CD14:ENSG00000162396 +1,55016096,Monocyte_CD14:ENSG00000162399 +1,56479628,Monocyte_CD14:ENSG00000162407 +1,6545710,Monocyte_CD14:ENSG00000162408 +1,65148047,Monocyte_CD14:ENSG00000162433 +1,65165561,Monocyte_CD14:ENSG00000162433 +1,64848397,Monocyte_CD14:ENSG00000162434 +1,64848397,Monocyte_CD14:ENSG00000162437 +1,9937021,Monocyte_CD14:ENSG00000162444 +1,9943652,Monocyte_CD14:ENSG00000162444 +1,9996642,Monocyte_CD14:ENSG00000162444 +1,10021678,Monocyte_CD14:ENSG00000162444 +1,11719442,Monocyte_CD14:ENSG00000162490 +1,30725670,Monocyte_CD14:ENSG00000162511 +1,30733790,Monocyte_CD14:ENSG00000162511 +1,30757036,Monocyte_CD14:ENSG00000162511 +1,30869524,Monocyte_CD14:ENSG00000162512 +1,31073601,Monocyte_CD14:ENSG00000162512 +1,32687855,Monocyte_CD14:ENSG00000162521 +1,32653680,Monocyte_CD14:ENSG00000162522 +1,32743022,Monocyte_CD14:ENSG00000162522 +1,19967412,Monocyte_CD14:ENSG00000162543 +1,20162208,Monocyte_CD14:ENSG00000162543 +1,2144747,Monocyte_CD14:ENSG00000162585 +1,2168443,Monocyte_CD14:ENSG00000162585 +1,2179409,Monocyte_CD14:ENSG00000162585 +1,2182337,Monocyte_CD14:ENSG00000162585 +1,2189679,Monocyte_CD14:ENSG00000162585 +1,2265894,Monocyte_CD14:ENSG00000162585 +1,3531823,Monocyte_CD14:ENSG00000162591 +1,61349396,Monocyte_CD14:ENSG00000162599 +1,61641302,Monocyte_CD14:ENSG00000162599 +1,58539566,Monocyte_CD14:ENSG00000162600 +1,58550926,Monocyte_CD14:ENSG00000162600 +1,58587168,Monocyte_CD14:ENSG00000162601 +1,61723706,Monocyte_CD14:ENSG00000162604 +1,62693384,Monocyte_CD14:ENSG00000162607 +1,77984760,Monocyte_CD14:ENSG00000162613 +1,77926760,Monocyte_CD14:ENSG00000162614 +1,78004786,Monocyte_CD14:ENSG00000162616 +1,74202923,Monocyte_CD14:ENSG00000162620 +1,74729969,Monocyte_CD14:ENSG00000162623 +1,74750455,Monocyte_CD14:ENSG00000162623 +1,74752907,Monocyte_CD14:ENSG00000162623 +1,98661559,Monocyte_CD14:ENSG00000162627 +1,108573894,Monocyte_CD14:ENSG00000162636 +1,108830242,Monocyte_CD14:ENSG00000162639 +1,89195941,Monocyte_CD14:ENSG00000162645 +1,89078118,Monocyte_CD14:ENSG00000162654 +1,89195941,Monocyte_CD14:ENSG00000162654 +1,90946933,Monocyte_CD14:ENSG00000162664 +1,100120094,Monocyte_CD14:ENSG00000162688 +1,100996458,Monocyte_CD14:ENSG00000162694 +1,200393128,Monocyte_CD14:ENSG00000162702 +1,183643262,Monocyte_CD14:ENSG00000162704 +1,247448849,Monocyte_CD14:ENSG00000162711 +1,247320723,Monocyte_CD14:ENSG00000162714 +1,247849673,Monocyte_CD14:ENSG00000162722 +1,160009170,Monocyte_CD14:ENSG00000162723 +1,160078148,Monocyte_CD14:ENSG00000162729 +1,160166301,Monocyte_CD14:ENSG00000162729 +1,160166301,Monocyte_CD14:ENSG00000162734 +1,160268986,Monocyte_CD14:ENSG00000162734 +1,160324778,Monocyte_CD14:ENSG00000162736 +1,161999386,Monocyte_CD14:ENSG00000162745 +1,161621723,Monocyte_CD14:ENSG00000162746 +1,161715685,Monocyte_CD14:ENSG00000162746 +1,161716010,Monocyte_CD14:ENSG00000162746 +1,161629988,Monocyte_CD14:ENSG00000162747 +1,212770431,Monocyte_CD14:ENSG00000162769 +1,212844852,Monocyte_CD14:ENSG00000162769 +1,212871539,Monocyte_CD14:ENSG00000162769 +1,213517194,Monocyte_CD14:ENSG00000162772 +1,110395072,Monocyte_CD14:ENSG00000162775 +1,111190909,Monocyte_CD14:ENSG00000162777 +1,111247531,Monocyte_CD14:ENSG00000162777 +1,179468170,Monocyte_CD14:ENSG00000162779 +1,181091425,Monocyte_CD14:ENSG00000162783 +1,181127255,Monocyte_CD14:ENSG00000162783 +1,220114892,Monocyte_CD14:ENSG00000162813 +1,220732115,Monocyte_CD14:ENSG00000162817 +1,220733144,Monocyte_CD14:ENSG00000162817 +1,145657979,Monocyte_CD14:ENSG00000162825 +1,145707907,Monocyte_CD14:ENSG00000162825 +1,145830546,Monocyte_CD14:ENSG00000162825 +1,147647212,Monocyte_CD14:ENSG00000162836 +1,147669453,Monocyte_CD14:ENSG00000162836 +1,245256010,Monocyte_CD14:ENSG00000162849 +1,245509022,Monocyte_CD14:ENSG00000162849 +1,235411474,Monocyte_CD14:ENSG00000162885 +1,235503870,Monocyte_CD14:ENSG00000162885 +1,206703961,Monocyte_CD14:ENSG00000162889 +1,223676647,Monocyte_CD14:ENSG00000162909 +1,231628094,Monocyte_CD14:ENSG00000162946 +1,231632743,Monocyte_CD14:ENSG00000162946 +1,226033154,Monocyte_CD14:ENSG00000163041 +1,227056388,Monocyte_CD14:ENSG00000163050 +1,150339266,Monocyte_CD14:ENSG00000163125 +1,150748245,Monocyte_CD14:ENSG00000163131 +1,150748697,Monocyte_CD14:ENSG00000163131 +1,150764738,Monocyte_CD14:ENSG00000163131 +1,150787842,Monocyte_CD14:ENSG00000163131 +1,151071428,Monocyte_CD14:ENSG00000163154 +1,151163342,Monocyte_CD14:ENSG00000163156 +1,152037611,Monocyte_CD14:ENSG00000163191 +1,153365381,Monocyte_CD14:ENSG00000163220 +1,153388107,Monocyte_CD14:ENSG00000163220 +1,153365381,Monocyte_CD14:ENSG00000163221 +1,153388107,Monocyte_CD14:ENSG00000163221 +1,154917529,Monocyte_CD14:ENSG00000163344 +1,154938450,Monocyte_CD14:ENSG00000163346 +1,155732270,Monocyte_CD14:ENSG00000163374 +1,156595021,Monocyte_CD14:ENSG00000163382 +1,156596639,Monocyte_CD14:ENSG00000163382 +1,116016439,Monocyte_CD14:ENSG00000163393 +1,201983278,Monocyte_CD14:ENSG00000163435 +1,203125034,Monocyte_CD14:ENSG00000163444 +1,155111358,Monocyte_CD14:ENSG00000163463 +1,156315005,Monocyte_CD14:ENSG00000163468 +1,156276644,Monocyte_CD14:ENSG00000163472 +1,203125034,Monocyte_CD14:ENSG00000163485 +1,205313821,Monocyte_CD14:ENSG00000163545 +1,205323647,Monocyte_CD14:ENSG00000163545 +1,158785514,Monocyte_CD14:ENSG00000163563 +1,158792204,Monocyte_CD14:ENSG00000163563 +1,158801848,Monocyte_CD14:ENSG00000163563 +1,158818706,Monocyte_CD14:ENSG00000163563 +1,158902694,Monocyte_CD14:ENSG00000163563 +1,159010084,Monocyte_CD14:ENSG00000163565 +1,159026789,Monocyte_CD14:ENSG00000163565 +1,159043099,Monocyte_CD14:ENSG00000163568 +1,159082591,Monocyte_CD14:ENSG00000163568 +1,34848325,Monocyte_CD14:ENSG00000163866 +1,34853356,Monocyte_CD14:ENSG00000163866 +1,37492738,Monocyte_CD14:ENSG00000163875 +1,37514332,Monocyte_CD14:ENSG00000163875 +1,39654765,Monocyte_CD14:ENSG00000163909 +1,40523490,Monocyte_CD14:ENSG00000164002 +1,42845494,Monocyte_CD14:ENSG00000164010 +1,229326006,Monocyte_CD14:ENSG00000168118 +1,228484306,Monocyte_CD14:ENSG00000168159 +1,228486739,Monocyte_CD14:ENSG00000168159 +1,228553355,Monocyte_CD14:ENSG00000168159 +1,234598520,Monocyte_CD14:ENSG00000168264 +1,234315400,Monocyte_CD14:ENSG00000168275 +1,234373375,Monocyte_CD14:ENSG00000168275 +1,39907754,Monocyte_CD14:ENSG00000168389 +1,31370857,Monocyte_CD14:ENSG00000168528 +1,31404204,Monocyte_CD14:ENSG00000168528 +1,31407531,Monocyte_CD14:ENSG00000168528 +1,31408625,Monocyte_CD14:ENSG00000168528 +1,31430787,Monocyte_CD14:ENSG00000168528 +1,31440490,Monocyte_CD14:ENSG00000168528 +1,39026790,Monocyte_CD14:ENSG00000168653 +1,39038206,Monocyte_CD14:ENSG00000168653 +1,109984749,Monocyte_CD14:ENSG00000168710 +1,109626575,Monocyte_CD14:ENSG00000168765 +1,109656087,Monocyte_CD14:ENSG00000168765 +1,109657731,Monocyte_CD14:ENSG00000168765 +1,109690343,Monocyte_CD14:ENSG00000168765 +1,109720789,Monocyte_CD14:ENSG00000168765 +1,155215130,Monocyte_CD14:ENSG00000169231 +1,155111358,Monocyte_CD14:ENSG00000169241 +1,28089646,Monocyte_CD14:ENSG00000169403 +1,26228630,Monocyte_CD14:ENSG00000169442 +1,26319175,Monocyte_CD14:ENSG00000169442 +1,26319315,Monocyte_CD14:ENSG00000169442 +1,24720338,Monocyte_CD14:ENSG00000169504 +1,24727732,Monocyte_CD14:ENSG00000169504 +1,24739381,Monocyte_CD14:ENSG00000169504 +1,3858039,Monocyte_CD14:ENSG00000169598 +1,23131780,Monocyte_CD14:ENSG00000169641 +1,23416165,Monocyte_CD14:ENSG00000169641 +1,179835576,Monocyte_CD14:ENSG00000169905 +1,19859003,Monocyte_CD14:ENSG00000169914 +1,1374505,Monocyte_CD14:ENSG00000169972 +1,18950832,Monocyte_CD14:ENSG00000169991 +1,19181257,Monocyte_CD14:ENSG00000169991 +1,210950091,Monocyte_CD14:ENSG00000170385 +1,248833372,Monocyte_CD14:ENSG00000171161 +1,46198577,Monocyte_CD14:ENSG00000171357 +1,89557237,Monocyte_CD14:ENSG00000171488 +1,89757745,Monocyte_CD14:ENSG00000171488 +1,89816783,Monocyte_CD14:ENSG00000171492 +1,86124334,Monocyte_CD14:ENSG00000171502 +1,9769606,Monocyte_CD14:ENSG00000171603 +1,9829320,Monocyte_CD14:ENSG00000171603 +1,9653442,Monocyte_CD14:ENSG00000171608 +1,9276619,Monocyte_CD14:ENSG00000171621 +1,15143116,Monocyte_CD14:ENSG00000171729 +1,15208761,Monocyte_CD14:ENSG00000171729 +1,15231271,Monocyte_CD14:ENSG00000171729 +1,15245030,Monocyte_CD14:ENSG00000171729 +1,6758720,Monocyte_CD14:ENSG00000171735 +1,160429768,Monocyte_CD14:ENSG00000171786 +1,40956187,Monocyte_CD14:ENSG00000171793 +1,169853231,Monocyte_CD14:ENSG00000171806 +1,121441314,Monocyte_CD14:ENSG00000171943 +1,72155734,Monocyte_CD14:ENSG00000172260 +1,72249672,Monocyte_CD14:ENSG00000172260 +1,72263414,Monocyte_CD14:ENSG00000172260 +1,72347475,Monocyte_CD14:ENSG00000172260 +1,72510177,Monocyte_CD14:ENSG00000172260 +1,72515755,Monocyte_CD14:ENSG00000172260 +1,72653581,Monocyte_CD14:ENSG00000172260 +1,59674571,Monocyte_CD14:ENSG00000172456 +1,161517491,Monocyte_CD14:ENSG00000173110 +1,161589863,Monocyte_CD14:ENSG00000173110 +1,115892939,Monocyte_CD14:ENSG00000173212 +1,115647497,Monocyte_CD14:ENSG00000173218 +1,22648301,Monocyte_CD14:ENSG00000173369 +1,22636557,Monocyte_CD14:ENSG00000173372 +1,230991548,Monocyte_CD14:ENSG00000173409 +1,19643117,Monocyte_CD14:ENSG00000173436 +1,9943652,Monocyte_CD14:ENSG00000173614 +1,46309111,Monocyte_CD14:ENSG00000173660 +1,235119369,Monocyte_CD14:ENSG00000173726 +1,44802710,Monocyte_CD14:ENSG00000173846 +1,84506394,Monocyte_CD14:ENSG00000174021 +1,84506477,Monocyte_CD14:ENSG00000174021 +1,84572637,Monocyte_CD14:ENSG00000174021 +1,169601781,Monocyte_CD14:ENSG00000174175 +1,38991334,Monocyte_CD14:ENSG00000174574 +1,213002996,Monocyte_CD14:ENSG00000174606 +1,213019077,Monocyte_CD14:ENSG00000174606 +1,27459874,Monocyte_CD14:ENSG00000174950 +1,26102860,Monocyte_CD14:ENSG00000175087 +1,32354647,Monocyte_CD14:ENSG00000175130 +1,15143116,Monocyte_CD14:ENSG00000175147 +1,10460530,Monocyte_CD14:ENSG00000175279 +1,1374801,Monocyte_CD14:ENSG00000175756 +1,114558550,Monocyte_CD14:ENSG00000175984 +1,32671993,Monocyte_CD14:ENSG00000176261 +1,201982460,Monocyte_CD14:ENSG00000176393 +1,201983278,Monocyte_CD14:ENSG00000176393 +1,201989506,Monocyte_CD14:ENSG00000176393 +1,201990327,Monocyte_CD14:ENSG00000176393 +1,201995101,Monocyte_CD14:ENSG00000176393 +1,11749345,Monocyte_CD14:ENSG00000177000 +1,11786195,Monocyte_CD14:ENSG00000177000 +1,11790946,Monocyte_CD14:ENSG00000177000 +1,110640243,Monocyte_CD14:ENSG00000177272 +1,58147239,Monocyte_CD14:ENSG00000177606 +1,155227273,Monocyte_CD14:ENSG00000177628 +1,11728706,Monocyte_CD14:ENSG00000177674 +1,11736183,Monocyte_CD14:ENSG00000177674 +1,11740464,Monocyte_CD14:ENSG00000177674 +1,11749345,Monocyte_CD14:ENSG00000177674 +1,160073849,Monocyte_CD14:ENSG00000177807 +1,42808082,Monocyte_CD14:ENSG00000177868 +1,197181354,Monocyte_CD14:ENSG00000177888 +1,154097211,Monocyte_CD14:ENSG00000177954 +1,44301263,Monocyte_CD14:ENSG00000178028 +1,149844276,Monocyte_CD14:ENSG00000178096 +1,9895158,Monocyte_CD14:ENSG00000178585 +1,43368441,Monocyte_CD14:ENSG00000178922 +1,43450971,Monocyte_CD14:ENSG00000178922 +1,17413861,Monocyte_CD14:ENSG00000179051 +1,17463963,Monocyte_CD14:ENSG00000179051 +1,155170407,Monocyte_CD14:ENSG00000179085 +1,23843325,Monocyte_CD14:ENSG00000179163 +1,23894116,Monocyte_CD14:ENSG00000179163 +1,244324733,Monocyte_CD14:ENSG00000179397 +1,244052512,Monocyte_CD14:ENSG00000179456 +1,244324733,Monocyte_CD14:ENSG00000179456 +1,159296262,Monocyte_CD14:ENSG00000179639 +1,159302102,Monocyte_CD14:ENSG00000179639 +1,15848609,Monocyte_CD14:ENSG00000179743 +1,9653442,Monocyte_CD14:ENSG00000179840 +1,40891108,Monocyte_CD14:ENSG00000179862 +1,40939265,Monocyte_CD14:ENSG00000179862 +1,40956187,Monocyte_CD14:ENSG00000179862 +1,28627426,Monocyte_CD14:ENSG00000180198 +1,227635445,Monocyte_CD14:ENSG00000181450 +1,36356638,Monocyte_CD14:ENSG00000181817 +1,228230750,Monocyte_CD14:ENSG00000181873 +1,231036573,Monocyte_CD14:ENSG00000182118 +1,231053885,Monocyte_CD14:ENSG00000182118 +1,151769194,Monocyte_CD14:ENSG00000182134 +1,226164773,Monocyte_CD14:ENSG00000182827 +1,86900344,Monocyte_CD14:ENSG00000183291 +1,37996149,Monocyte_CD14:ENSG00000183386 +1,37999643,Monocyte_CD14:ENSG00000183386 +1,37999746,Monocyte_CD14:ENSG00000183386 +1,37932151,Monocyte_CD14:ENSG00000183431 +1,37934144,Monocyte_CD14:ENSG00000183520 +1,25274256,Monocyte_CD14:ENSG00000183726 +1,234244733,Monocyte_CD14:ENSG00000183780 +1,234306511,Monocyte_CD14:ENSG00000183780 +1,234315400,Monocyte_CD14:ENSG00000183780 +1,76040981,Monocyte_CD14:ENSG00000184005 +1,76057671,Monocyte_CD14:ENSG00000184005 +1,58587168,Monocyte_CD14:ENSG00000184292 +1,54609167,Monocyte_CD14:ENSG00000184313 +1,22443582,Monocyte_CD14:ENSG00000184677 +1,155559508,Monocyte_CD14:ENSG00000185499 +1,103554965,Monocyte_CD14:ENSG00000185946 +1,236626500,Monocyte_CD14:ENSG00000186197 +1,220610891,Monocyte_CD14:ENSG00000186205 +1,220765037,Monocyte_CD14:ENSG00000186205 +1,220786790,Monocyte_CD14:ENSG00000186205 +1,220822749,Monocyte_CD14:ENSG00000186205 +1,179091920,Monocyte_CD14:ENSG00000186283 +1,179095951,Monocyte_CD14:ENSG00000186283 +1,179232487,Monocyte_CD14:ENSG00000186283 +1,42539918,Monocyte_CD14:ENSG00000186409 +1,27335461,Monocyte_CD14:ENSG00000186501 +1,25274256,Monocyte_CD14:ENSG00000187010 +1,223110495,Monocyte_CD14:ENSG00000187554 +1,223118826,Monocyte_CD14:ENSG00000187554 +1,223171265,Monocyte_CD14:ENSG00000187554 +1,223184838,Monocyte_CD14:ENSG00000187554 +1,944858,Monocyte_CD14:ENSG00000187583 +1,1011654,Monocyte_CD14:ENSG00000187608 +1,1170732,Monocyte_CD14:ENSG00000187608 +1,40562876,Monocyte_CD14:ENSG00000187815 +1,19967412,Monocyte_CD14:ENSG00000187980 +1,20162208,Monocyte_CD14:ENSG00000187980 +1,147909619,Monocyte_CD14:ENSG00000188092 +1,995371,Monocyte_CD14:ENSG00000188290 +1,1000079,Monocyte_CD14:ENSG00000188290 +1,169601781,Monocyte_CD14:ENSG00000188404 +1,169696410,Monocyte_CD14:ENSG00000188404 +1,169707082,Monocyte_CD14:ENSG00000188404 +1,24002948,Monocyte_CD14:ENSG00000188529 +1,121441314,Monocyte_CD14:ENSG00000188610 +1,97382177,Monocyte_CD14:ENSG00000188641 +1,97583969,Monocyte_CD14:ENSG00000188641 +1,97869592,Monocyte_CD14:ENSG00000188641 +1,97874546,Monocyte_CD14:ENSG00000188641 +1,37834083,Monocyte_CD14:ENSG00000188786 +1,945259,Monocyte_CD14:ENSG00000188976 +1,153640712,Monocyte_CD14:ENSG00000189171 +1,23728345,Monocyte_CD14:ENSG00000189266 +1,23894116,Monocyte_CD14:ENSG00000189266 +1,23960407,Monocyte_CD14:ENSG00000189266 +1,24060044,Monocyte_CD14:ENSG00000189266 +1,1618290,Monocyte_CD14:ENSG00000189339 +1,1660545,Monocyte_CD14:ENSG00000189339 +1,1689465,Monocyte_CD14:ENSG00000189339 +1,1851793,Monocyte_CD14:ENSG00000189339 +1,1689465,Monocyte_CD14:ENSG00000189409 +1,225881845,Monocyte_CD14:ENSG00000196187 +1,156119777,Monocyte_CD14:ENSG00000196189 +1,156177519,Monocyte_CD14:ENSG00000196189 +1,156276644,Monocyte_CD14:ENSG00000196189 +1,247501180,Monocyte_CD14:ENSG00000196242 +1,207315671,Monocyte_CD14:ENSG00000196352 +1,207316611,Monocyte_CD14:ENSG00000196352 +1,146001137,Monocyte_CD14:ENSG00000196369 +1,247125913,Monocyte_CD14:ENSG00000196418 +1,247156464,Monocyte_CD14:ENSG00000196418 +1,247166497,Monocyte_CD14:ENSG00000196418 +1,247171975,Monocyte_CD14:ENSG00000196418 +1,37829469,Monocyte_CD14:ENSG00000196449 +1,117954283,Monocyte_CD14:ENSG00000196505 +1,118136089,Monocyte_CD14:ENSG00000196505 +1,209649116,Monocyte_CD14:ENSG00000196878 +1,35152276,Monocyte_CD14:ENSG00000197056 +1,89557237,Monocyte_CD14:ENSG00000197147 +1,15649492,Monocyte_CD14:ENSG00000197312 +1,15669553,Monocyte_CD14:ENSG00000197312 +1,114833868,Monocyte_CD14:ENSG00000197323 +1,158801848,Monocyte_CD14:ENSG00000197403 +1,45580835,Monocyte_CD14:ENSG00000197429 +1,1646352,Monocyte_CD14:ENSG00000197530 +1,70355933,Monocyte_CD14:ENSG00000197568 +1,151138967,Monocyte_CD14:ENSG00000197622 +1,151967380,Monocyte_CD14:ENSG00000197747 +1,151968898,Monocyte_CD14:ENSG00000197747 +1,109065367,Monocyte_CD14:ENSG00000197780 +1,111641826,Monocyte_CD14:ENSG00000197852 +1,111728019,Monocyte_CD14:ENSG00000197852 +1,153536399,Monocyte_CD14:ENSG00000197956 +1,167721836,Monocyte_CD14:ENSG00000197965 +1,167748790,Monocyte_CD14:ENSG00000197965 +1,167770414,Monocyte_CD14:ENSG00000197965 +1,167794567,Monocyte_CD14:ENSG00000197965 +1,37829469,Monocyte_CD14:ENSG00000197982 +1,37834083,Monocyte_CD14:ENSG00000197982 +1,28514449,Monocyte_CD14:ENSG00000197989 +1,121404348,Monocyte_CD14:ENSG00000198019 +1,66949091,Monocyte_CD14:ENSG00000198160 +1,117458409,Monocyte_CD14:ENSG00000198162 +1,117489535,Monocyte_CD14:ENSG00000198162 +1,212855502,Monocyte_CD14:ENSG00000198468 +1,212856959,Monocyte_CD14:ENSG00000198468 +1,145876557,Monocyte_CD14:ENSG00000198483 +1,44732124,Monocyte_CD14:ENSG00000198520 +1,44764514,Monocyte_CD14:ENSG00000198520 +1,204561374,Monocyte_CD14:ENSG00000198625 +1,201901406,Monocyte_CD14:ENSG00000198700 +1,156276644,Monocyte_CD14:ENSG00000198715 +1,169498416,Monocyte_CD14:ENSG00000198734 +1,169517403,Monocyte_CD14:ENSG00000198734 +1,169562873,Monocyte_CD14:ENSG00000198734 +1,39767884,Monocyte_CD14:ENSG00000198754 +1,167563575,Monocyte_CD14:ENSG00000198771 +1,167599607,Monocyte_CD14:ENSG00000198771 +1,167645441,Monocyte_CD14:ENSG00000198771 +1,167701192,Monocyte_CD14:ENSG00000198771 +1,11250227,Monocyte_CD14:ENSG00000198793 +1,113090172,Monocyte_CD14:ENSG00000198799 +1,26478678,Monocyte_CD14:ENSG00000198830 +1,228924239,Monocyte_CD14:ENSG00000198835 +1,153940143,Monocyte_CD14:ENSG00000198837 +1,184060816,Monocyte_CD14:ENSG00000198860 +1,107050110,Monocyte_CD14:ENSG00000198890 +1,201864006,Monocyte_CD14:ENSG00000198892 +1,201888344,Monocyte_CD14:ENSG00000198892 +1,3849877,Monocyte_CD14:ENSG00000198912 +1,3891607,Monocyte_CD14:ENSG00000198912 +1,162119541,Monocyte_CD14:ENSG00000198929 +1,162242975,Monocyte_CD14:ENSG00000198929 +1,162336324,Monocyte_CD14:ENSG00000198929 +1,156276644,Monocyte_CD14:ENSG00000198952 +1,244970321,Monocyte_CD14:ENSG00000203666 +1,245035449,Monocyte_CD14:ENSG00000203666 +1,244841668,Monocyte_CD14:ENSG00000203667 +1,244857015,Monocyte_CD14:ENSG00000203667 +1,241640299,Monocyte_CD14:ENSG00000203668 +1,241641728,Monocyte_CD14:ENSG00000203668 +1,212812932,Monocyte_CD14:ENSG00000203705 +1,212825582,Monocyte_CD14:ENSG00000203705 +1,212848893,Monocyte_CD14:ENSG00000203705 +1,207863353,Monocyte_CD14:ENSG00000203709 +1,207496437,Monocyte_CD14:ENSG00000203710 +1,207577208,Monocyte_CD14:ENSG00000203710 +1,207609362,Monocyte_CD14:ENSG00000203710 +1,207640379,Monocyte_CD14:ENSG00000203710 +1,197902871,Monocyte_CD14:ENSG00000203724 +1,161533048,Monocyte_CD14:ENSG00000203747 +1,161549584,Monocyte_CD14:ENSG00000203747 +1,150579684,Monocyte_CD14:ENSG00000203804 +1,150579726,Monocyte_CD14:ENSG00000203804 +1,150714138,Monocyte_CD14:ENSG00000203804 +1,84314974,Monocyte_CD14:ENSG00000203943 +1,63443034,Monocyte_CD14:ENSG00000203965 +1,37879032,Monocyte_CD14:ENSG00000204084 +1,37887731,Monocyte_CD14:ENSG00000204084 +1,28352642,Monocyte_CD14:ENSG00000204138 +1,28466638,Monocyte_CD14:ENSG00000204138 +1,26817084,Monocyte_CD14:ENSG00000204160 +1,23451869,Monocyte_CD14:ENSG00000204219 +1,232774912,Monocyte_CD14:ENSG00000212916 +1,232805359,Monocyte_CD14:ENSG00000212916 +1,197785554,Monocyte_CD14:ENSG00000213047 +1,178590226,Monocyte_CD14:ENSG00000213057 +1,168241998,Monocyte_CD14:ENSG00000213064 +1,114753288,Monocyte_CD14:ENSG00000213281 +1,109668039,Monocyte_CD14:ENSG00000213366 +1,109690343,Monocyte_CD14:ENSG00000213366 +1,89186326,Monocyte_CD14:ENSG00000213512 +1,89015879,Monocyte_CD14:ENSG00000213516 +1,65420500,Monocyte_CD14:ENSG00000213625 +1,65422786,Monocyte_CD14:ENSG00000213625 +1,65428681,Monocyte_CD14:ENSG00000213625 +1,38831177,Monocyte_CD14:ENSG00000214114 +1,1574445,Monocyte_CD14:ENSG00000215014 +1,1598099,Monocyte_CD14:ENSG00000215014 +1,109088761,Monocyte_CD14:ENSG00000215717 +1,109095250,Monocyte_CD14:ENSG00000215717 +1,1618290,Monocyte_CD14:ENSG00000215790 +1,1660545,Monocyte_CD14:ENSG00000215790 +1,1692536,Monocyte_CD14:ENSG00000215790 +1,1742587,Monocyte_CD14:ENSG00000215790 +1,1845552,Monocyte_CD14:ENSG00000215790 +1,1851793,Monocyte_CD14:ENSG00000215790 +1,1875912,Monocyte_CD14:ENSG00000215790 +1,161038672,Monocyte_CD14:ENSG00000215845 +1,22029485,Monocyte_CD14:ENSG00000218510 +1,22067487,Monocyte_CD14:ENSG00000218510 +1,16498380,Monocyte_CD14:ENSG00000219481 +1,16861896,Monocyte_CD14:ENSG00000219481 +1,16911487,Monocyte_CD14:ENSG00000219481 +1,174911442,Monocyte_CD14:ENSG00000223525 +1,85276073,Monocyte_CD14:ENSG00000223653 +1,93250710,Monocyte_CD14:ENSG00000223745 +1,93322213,Monocyte_CD14:ENSG00000223745 +1,93389382,Monocyte_CD14:ENSG00000223745 +1,152124246,Monocyte_CD14:ENSG00000224308 +1,148332686,Monocyte_CD14:ENSG00000224481 +1,201506391,Monocyte_CD14:ENSG00000224536 +1,59320744,Monocyte_CD14:ENSG00000224609 +1,100279675,Monocyte_CD14:ENSG00000224616 +1,110420112,Monocyte_CD14:ENSG00000224699 +1,1400626,Monocyte_CD14:ENSG00000224870 +1,1413898,Monocyte_CD14:ENSG00000224870 +1,222552483,Monocyte_CD14:ENSG00000225265 +1,160073849,Monocyte_CD14:ENSG00000225279 +1,818725,Monocyte_CD14:ENSG00000225880 +1,19967412,Monocyte_CD14:ENSG00000225986 +1,20162208,Monocyte_CD14:ENSG00000225986 +1,16451317,Monocyte_CD14:ENSG00000226029 +1,16460433,Monocyte_CD14:ENSG00000226029 +1,16480377,Monocyte_CD14:ENSG00000226029 +1,121404348,Monocyte_CD14:ENSG00000226067 +1,204375205,Monocyte_CD14:ENSG00000226235 +1,212343512,Monocyte_CD14:ENSG00000226251 +1,112881772,Monocyte_CD14:ENSG00000226419 +1,108047124,Monocyte_CD14:ENSG00000226822 +1,108048966,Monocyte_CD14:ENSG00000226822 +1,108055323,Monocyte_CD14:ENSG00000226822 +1,108072486,Monocyte_CD14:ENSG00000226822 +1,108098966,Monocyte_CD14:ENSG00000226822 +1,161802353,Monocyte_CD14:ENSG00000226889 +1,20154175,Monocyte_CD14:ENSG00000227066 +1,209761408,Monocyte_CD14:ENSG00000227591 +1,176005094,Monocyte_CD14:ENSG00000227740 +1,221975663,Monocyte_CD14:ENSG00000227925 +1,221985983,Monocyte_CD14:ENSG00000227925 +1,247097058,Monocyte_CD14:ENSG00000227953 +1,2574790,Monocyte_CD14:ENSG00000228037 +1,222828036,Monocyte_CD14:ENSG00000228106 +1,15406898,Monocyte_CD14:ENSG00000228140 +1,22025615,Monocyte_CD14:ENSG00000228397 +1,38860124,Monocyte_CD14:ENSG00000228436 +1,221985983,Monocyte_CD14:ENSG00000228437 +1,9181780,Monocyte_CD14:ENSG00000228526 +1,1574445,Monocyte_CD14:ENSG00000228594 +1,160324778,Monocyte_CD14:ENSG00000228606 +1,818725,Monocyte_CD14:ENSG00000228794 +1,822260,Monocyte_CD14:ENSG00000228794 +1,186421323,Monocyte_CD14:ENSG00000229739 +1,186421830,Monocyte_CD14:ENSG00000229739 +1,186438101,Monocyte_CD14:ENSG00000229739 +1,199031064,Monocyte_CD14:ENSG00000229989 +1,212327027,Monocyte_CD14:ENSG00000230063 +1,22064197,Monocyte_CD14:ENSG00000230068 +1,53366116,Monocyte_CD14:ENSG00000230138 +1,53369627,Monocyte_CD14:ENSG00000230138 +1,107969525,Monocyte_CD14:ENSG00000230489 +1,107993684,Monocyte_CD14:ENSG00000230489 +1,1777362,Monocyte_CD14:ENSG00000231050 +1,119156959,Monocyte_CD14:ENSG00000231365 +1,119180155,Monocyte_CD14:ENSG00000231365 +1,203278773,Monocyte_CD14:ENSG00000231507 +1,89755310,Monocyte_CD14:ENSG00000231613 +1,234372789,Monocyte_CD14:ENSG00000231663 +1,234402178,Monocyte_CD14:ENSG00000231663 +1,89757745,Monocyte_CD14:ENSG00000231999 +1,247199670,Monocyte_CD14:ENSG00000232347 +1,224208013,Monocyte_CD14:ENSG00000232628 +1,224235339,Monocyte_CD14:ENSG00000232628 +1,151696063,Monocyte_CD14:ENSG00000232671 +1,183465654,Monocyte_CD14:ENSG00000232860 +1,8424763,Monocyte_CD14:ENSG00000232912 +1,230602299,Monocyte_CD14:ENSG00000232964 +1,163318865,Monocyte_CD14:ENSG00000232995 +1,231544006,Monocyte_CD14:ENSG00000233461 +1,37476352,Monocyte_CD14:ENSG00000233621 +1,203304835,Monocyte_CD14:ENSG00000233791 +1,15803035,Monocyte_CD14:ENSG00000233954 +1,9181780,Monocyte_CD14:ENSG00000234546 +1,201983278,Monocyte_CD14:ENSG00000234678 +1,201997048,Monocyte_CD14:ENSG00000234678 +1,173786061,Monocyte_CD14:ENSG00000234741 +1,173862100,Monocyte_CD14:ENSG00000234741 +1,58109645,Monocyte_CD14:ENSG00000234807 +1,212248402,Monocyte_CD14:ENSG00000234915 +1,1413898,Monocyte_CD14:ENSG00000235098 +1,3775676,Monocyte_CD14:ENSG00000235169 +1,41187190,Monocyte_CD14:ENSG00000235358 +1,247639187,Monocyte_CD14:ENSG00000235749 +1,175142810,Monocyte_CD14:ENSG00000235750 +1,175163704,Monocyte_CD14:ENSG00000235750 +1,165598243,Monocyte_CD14:ENSG00000236206 +1,7824343,Monocyte_CD14:ENSG00000236266 +1,53239502,Monocyte_CD14:ENSG00000236723 +1,207577208,Monocyte_CD14:ENSG00000236911 +1,207191068,Monocyte_CD14:ENSG00000237074 +1,28456628,Monocyte_CD14:ENSG00000237429 +1,818725,Monocyte_CD14:ENSG00000237491 +1,65435461,Monocyte_CD14:ENSG00000237852 +1,43993443,Monocyte_CD14:ENSG00000237950 +1,234971018,Monocyte_CD14:ENSG00000238005 +1,234980144,Monocyte_CD14:ENSG00000238005 +1,221975663,Monocyte_CD14:ENSG00000238042 +1,221985983,Monocyte_CD14:ENSG00000238042 +1,220822749,Monocyte_CD14:ENSG00000238078 +1,16476395,Monocyte_CD14:ENSG00000238142 +1,16477943,Monocyte_CD14:ENSG00000238142 +1,16560690,Monocyte_CD14:ENSG00000238142 +1,16710782,Monocyte_CD14:ENSG00000238142 +1,16913697,Monocyte_CD14:ENSG00000238142 +1,16921694,Monocyte_CD14:ENSG00000238142 +1,16923047,Monocyte_CD14:ENSG00000238142 +1,16927333,Monocyte_CD14:ENSG00000238142 +1,16943937,Monocyte_CD14:ENSG00000238142 +1,2590953,Monocyte_CD14:ENSG00000238164 +1,40480267,Monocyte_CD14:ENSG00000238287 +1,40493834,Monocyte_CD14:ENSG00000238287 +1,35633487,Monocyte_CD14:ENSG00000239636 +1,162119541,Monocyte_CD14:ENSG00000239887 +1,103509684,Monocyte_CD14:ENSG00000240038 +1,62195722,Monocyte_CD14:ENSG00000240563 +1,62196310,Monocyte_CD14:ENSG00000240563 +1,62273232,Monocyte_CD14:ENSG00000240563 +1,28503464,Monocyte_CD14:ENSG00000242125 +1,156315005,Monocyte_CD14:ENSG00000242252 +1,1400410,Monocyte_CD14:ENSG00000242485 +1,1407014,Monocyte_CD14:ENSG00000242485 +1,54716257,Monocyte_CD14:ENSG00000243725 +1,34984759,Monocyte_CD14:ENSG00000243749 +1,20617737,Monocyte_CD14:ENSG00000244038 +1,20637361,Monocyte_CD14:ENSG00000244038 +1,1618290,Monocyte_CD14:ENSG00000248333 +1,26985686,Monocyte_CD14:ENSG00000253368 +1,74202923,Monocyte_CD14:ENSG00000254685 +1,220871478,Monocyte_CD14:ENSG00000257551 +1,234980044,Monocyte_CD14:ENSG00000258082 +1,110640243,Monocyte_CD14:ENSG00000259834 +1,247199670,Monocyte_CD14:ENSG00000259865 +1,247199688,Monocyte_CD14:ENSG00000259865 +1,109690343,Monocyte_CD14:ENSG00000260246 +1,212561309,Monocyte_CD14:ENSG00000260805 +1,108200420,Monocyte_CD14:ENSG00000260879 +1,206502187,Monocyte_CD14:ENSG00000261000 +1,16606909,Monocyte_CD14:ENSG00000261135 +1,86703710,Monocyte_CD14:ENSG00000261737 +1,206470191,Monocyte_CD14:ENSG00000263528 +1,206472843,Monocyte_CD14:ENSG00000263528 +1,206502187,Monocyte_CD14:ENSG00000263528 +1,147268616,Monocyte_CD14:ENSG00000263956 +1,149844276,Monocyte_CD14:ENSG00000264207 +1,145699064,Monocyte_CD14:ENSG00000264343 +1,24466856,Monocyte_CD14:ENSG00000264443 +1,150070071,Monocyte_CD14:ENSG00000264522 +1,145814666,Monocyte_CD14:ENSG00000265241 +1,145824253,Monocyte_CD14:ENSG00000265241 +1,119982853,Monocyte_CD14:ENSG00000265808 +1,206608895,Monocyte_CD14:ENSG00000266094 +1,143953471,Monocyte_CD14:ENSG00000266338 +1,150293918,Monocyte_CD14:ENSG00000266472 +1,150339266,Monocyte_CD14:ENSG00000266472 +1,150433599,Monocyte_CD14:ENSG00000266472 +1,147010894,Monocyte_CD14:ENSG00000268043 +1,147011309,Monocyte_CD14:ENSG00000268043 +1,147025423,Monocyte_CD14:ENSG00000268043 +1,147026015,Monocyte_CD14:ENSG00000268043 +1,148159122,Monocyte_CD14:ENSG00000269713 +1,7796206,Monocyte_CD14:ENSG00000269925 +1,228230750,Monocyte_CD14:ENSG00000269934 +1,28243737,Monocyte_CD14:ENSG00000270103 +1,228398535,Monocyte_CD14:ENSG00000270104 +1,238902986,Monocyte_CD14:ENSG00000270188 +1,28252690,Monocyte_CD14:ENSG00000270605 +1,148236770,Monocyte_CD14:ENSG00000270629 +1,148309703,Monocyte_CD14:ENSG00000270629 +1,148312015,Monocyte_CD14:ENSG00000270629 +1,148316585,Monocyte_CD14:ENSG00000270629 +1,148322766,Monocyte_CD14:ENSG00000270629 +1,148323589,Monocyte_CD14:ENSG00000270629 +1,148335810,Monocyte_CD14:ENSG00000270629 +1,61741331,Monocyte_CD14:ENSG00000271200 +1,149843969,Monocyte_CD14:ENSG00000271383 +1,149845000,Monocyte_CD14:ENSG00000271383 +1,149890750,Monocyte_CD14:ENSG00000271383 +1,149957950,Monocyte_CD14:ENSG00000271383 +1,149974309,Monocyte_CD14:ENSG00000271383 +1,149978365,Monocyte_CD14:ENSG00000271383 +1,145671747,Monocyte_CD14:ENSG00000271425 +1,145692703,Monocyte_CD14:ENSG00000271425 +1,145699064,Monocyte_CD14:ENSG00000271425 +1,146001137,Monocyte_CD14:ENSG00000271425 +1,145699064,Monocyte_CD14:ENSG00000271601 +1,6401661,Monocyte_CD14:ENSG00000271746 +1,2207578,Monocyte_CD14:ENSG00000271806 +1,1660545,Monocyte_CD14:ENSG00000272004 +1,153640712,Monocyte_CD14:ENSG00000272030 +1,1606417,Monocyte_CD14:ENSG00000272106 +1,40690366,Monocyte_CD14:ENSG00000272145 +1,244968141,Monocyte_CD14:ENSG00000272195 +1,16476395,Monocyte_CD14:ENSG00000272426 +1,2559866,Monocyte_CD14:ENSG00000272449 +1,48452387,Monocyte_CD14:ENSG00000272491 +1,1000079,Monocyte_CD14:ENSG00000272512 +1,222640326,Monocyte_CD14:ENSG00000272750 +1,220833677,Monocyte_CD14:ENSG00000272823 +1,76011498,Monocyte_CD14:ENSG00000272855 +1,74729478,Monocyte_CD14:ENSG00000272864 +1,242160956,Monocyte_CD14:ENSG00000272865 +1,89816783,Monocyte_CD14:ENSG00000272931 +1,185439911,Monocyte_CD14:ENSG00000273004 +1,153604530,Monocyte_CD14:ENSG00000273110 +1,120132858,Monocyte_CD14:ENSG00000273136 +1,120178028,Monocyte_CD14:ENSG00000273136 +1,120304681,Monocyte_CD14:ENSG00000273136 +1,120304851,Monocyte_CD14:ENSG00000273136 +1,120309137,Monocyte_CD14:ENSG00000273136 +1,120332994,Monocyte_CD14:ENSG00000273136 +1,121401287,Monocyte_CD14:ENSG00000273136 +1,121404348,Monocyte_CD14:ENSG00000273136 +1,244829077,Monocyte_CD14:ENSG00000273175 +1,111190909,Monocyte_CD14:ENSG00000273221 +1,77926760,Monocyte_CD14:ENSG00000273338 +1,78004786,Monocyte_CD14:ENSG00000273338 +1,109088761,Monocyte_CD14:ENSG00000273382 +1,109103569,Monocyte_CD14:ENSG00000273382 +1,148350997,Monocyte_CD14:ENSG00000274265 +1,43127565,Monocyte_CD14:ENSG00000274386 +1,145727346,Monocyte_CD14:ENSG00000276216 +1,145794653,Monocyte_CD14:ENSG00000276216 +1,145954492,Monocyte_CD14:ENSG00000276216 +1,145972158,Monocyte_CD14:ENSG00000276216 +1,146040086,Monocyte_CD14:ENSG00000276216 +1,146040806,Monocyte_CD14:ENSG00000276216 +1,146049423,Monocyte_CD14:ENSG00000276216 +1,145699064,Monocyte_CD14:ENSG00000276509 +1,145711327,Monocyte_CD14:ENSG00000276509 +1,17393562,Monocyte_CD14:ENSG00000276747 +1,247078725,Monocyte_CD14:ENSG00000277462 +1,45480982,Monocyte_CD14:ENSG00000280670 +1,58587168,Monocyte_CD14:ENSG00000283445 +1,161390216,Monocyte_CD14:ENSG00000283696 +1,39796015,Monocyte_CD14:ENSG00000284719 +1,153903196,Monocyte_CD14:ENSG00000284738 +1,7967770,Monocyte_CD14:ENSG00000284747 +1,235413634,Monocyte_CD14:ENSG00000284770 +1,111755537,Monocyte_CD14:ENSG00000284830 +1,84572637,Monocyte_CD14:ENSG00000284882 +1,84579163,Monocyte_CD14:ENSG00000284882 +1,235294265,Monocyte_CD14:ENSG00000285053 +1,235340217,Monocyte_CD14:ENSG00000285053 +1,150036413,Monocyte_CD14:ENSG00000285184 +1,150156095,Monocyte_CD14:ENSG00000285554 +1,11898718,Monocyte_CD14:ENSG00000285646 +1,11910946,Monocyte_CD14:ENSG00000285646 +1,11913466,Monocyte_CD14:ENSG00000285646 +1,12013053,Monocyte_CD14:ENSG00000285646 +1,22062379,Monocyte_CD14:ENSG00000285752 +1,148353642,Monocyte_CD14:ENSG00000286019 +1,231632743,Monocyte_CD14:ENSG00000286071 +1,121404348,Monocyte_CD14:ENSG00000286106 +1,149845000,Monocyte_CD14:ENSG00000286219 +1,149974309,Monocyte_CD14:ENSG00000286219 +1,149978365,Monocyte_CD14:ENSG00000286219 +1,89557237,Monocyte_CD14:ENSG00000286548 +1,205813455,Monocyte_CD14:ENSG00000286619 +1,1618290,Monocyte_CD14:ENSG00000286989 +1,146004501,Monocyte_CD14:ENSG00000287190 +1,172381070,Monocyte_CD14:ENSG00000287336 +1,41187190,Monocyte_CD14:ENSG00000287400 +1,119938932,Monocyte_CD14:ENSG00000287979 +1,120132858,Monocyte_CD14:ENSG00000287979 +1,120178028,Monocyte_CD14:ENSG00000287979 +1,120304681,Monocyte_CD14:ENSG00000287979 +1,120304851,Monocyte_CD14:ENSG00000287979 +1,120309137,Monocyte_CD14:ENSG00000287979 +1,120332994,Monocyte_CD14:ENSG00000287979 +1,121404348,Monocyte_CD14:ENSG00000287979 +1,161350743,Monocyte_CD14:ENSG00000288093 +1,16293665,Monocyte_CD14:ENSG00000288398 +12,8946438,Monocyte_CD14:ENSG00000003056 +12,8958240,Monocyte_CD14:ENSG00000003056 +12,21493628,Monocyte_CD14:ENSG00000004700 +12,21495012,Monocyte_CD14:ENSG00000004700 +12,47648088,Monocyte_CD14:ENSG00000005175 +12,16351982,Monocyte_CD14:ENSG00000008394 +12,16410348,Monocyte_CD14:ENSG00000008394 +12,4567740,Monocyte_CD14:ENSG00000010219 +12,6096635,Monocyte_CD14:ENSG00000010278 +12,6139585,Monocyte_CD14:ENSG00000010278 +12,6154369,Monocyte_CD14:ENSG00000010278 +12,6154542,Monocyte_CD14:ENSG00000010278 +12,6180772,Monocyte_CD14:ENSG00000010278 +12,6488758,Monocyte_CD14:ENSG00000010292 +12,6527236,Monocyte_CD14:ENSG00000010292 +12,6551831,Monocyte_CD14:ENSG00000010295 +12,6785060,Monocyte_CD14:ENSG00000010610 +12,6792749,Monocyte_CD14:ENSG00000010610 +12,6792818,Monocyte_CD14:ENSG00000010610 +12,6810255,Monocyte_CD14:ENSG00000010610 +12,6897614,Monocyte_CD14:ENSG00000010626 +12,3123638,Monocyte_CD14:ENSG00000011105 +12,31097870,Monocyte_CD14:ENSG00000013573 +12,13001189,Monocyte_CD14:ENSG00000013583 +12,42306492,Monocyte_CD14:ENSG00000015153 +12,120423772,Monocyte_CD14:ENSG00000022840 +12,95206993,Monocyte_CD14:ENSG00000028203 +12,4567740,Monocyte_CD14:ENSG00000047621 +12,50362774,Monocyte_CD14:ENSG00000050405 +12,51061033,Monocyte_CD14:ENSG00000050426 +12,51391400,Monocyte_CD14:ENSG00000050438 +12,122976172,Monocyte_CD14:ENSG00000051825 +12,19162584,Monocyte_CD14:ENSG00000052126 +12,19166112,Monocyte_CD14:ENSG00000052126 +12,19338268,Monocyte_CD14:ENSG00000052126 +12,32912807,Monocyte_CD14:ENSG00000057294 +12,32912902,Monocyte_CD14:ENSG00000057294 +12,32917732,Monocyte_CD14:ENSG00000057294 +12,94671729,Monocyte_CD14:ENSG00000057704 +12,94673490,Monocyte_CD14:ENSG00000057704 +12,94677689,Monocyte_CD14:ENSG00000057704 +12,94833001,Monocyte_CD14:ENSG00000057704 +12,94845306,Monocyte_CD14:ENSG00000057704 +12,79927032,Monocyte_CD14:ENSG00000058272 +12,7987785,Monocyte_CD14:ENSG00000059804 +12,10429051,Monocyte_CD14:ENSG00000060138 +12,10723460,Monocyte_CD14:ENSG00000060138 +12,10741403,Monocyte_CD14:ENSG00000060138 +12,11171638,Monocyte_CD14:ENSG00000060138 +12,642443,Monocyte_CD14:ENSG00000060237 +12,766623,Monocyte_CD14:ENSG00000060237 +12,24814536,Monocyte_CD14:ENSG00000060982 +12,24819822,Monocyte_CD14:ENSG00000060982 +12,24897601,Monocyte_CD14:ENSG00000060982 +12,24898649,Monocyte_CD14:ENSG00000060982 +12,24898952,Monocyte_CD14:ENSG00000060982 +12,24937841,Monocyte_CD14:ENSG00000060982 +12,24946677,Monocyte_CD14:ENSG00000060982 +12,47810737,Monocyte_CD14:ENSG00000061273 +12,27750769,Monocyte_CD14:ENSG00000061794 +12,131670644,Monocyte_CD14:ENSG00000061936 +12,62578761,Monocyte_CD14:ENSG00000061987 +12,26971660,Monocyte_CD14:ENSG00000064115 +12,29255515,Monocyte_CD14:ENSG00000064763 +12,55932416,Monocyte_CD14:ENSG00000065357 +12,8055929,Monocyte_CD14:ENSG00000065970 +12,6338305,Monocyte_CD14:ENSG00000067182 +12,78476719,Monocyte_CD14:ENSG00000067715 +12,78636585,Monocyte_CD14:ENSG00000067715 +12,78977691,Monocyte_CD14:ENSG00000067715 +12,9656143,Monocyte_CD14:ENSG00000069493 +12,9690425,Monocyte_CD14:ENSG00000069493 +12,89790164,Monocyte_CD14:ENSG00000070961 +12,132835842,Monocyte_CD14:ENSG00000072609 +12,124795961,Monocyte_CD14:ENSG00000073060 +12,124850707,Monocyte_CD14:ENSG00000073060 +12,124852447,Monocyte_CD14:ENSG00000073060 +12,124870524,Monocyte_CD14:ENSG00000073060 +12,409831,Monocyte_CD14:ENSG00000073614 +12,98593707,Monocyte_CD14:ENSG00000075415 +12,98613707,Monocyte_CD14:ENSG00000075415 +12,98627660,Monocyte_CD14:ENSG00000075415 +12,56522858,Monocyte_CD14:ENSG00000076067 +12,56528522,Monocyte_CD14:ENSG00000076108 +12,110456752,Monocyte_CD14:ENSG00000076513 +12,109137386,Monocyte_CD14:ENSG00000076555 +12,109150982,Monocyte_CD14:ENSG00000076555 +12,4352980,Monocyte_CD14:ENSG00000078237 +12,2952548,Monocyte_CD14:ENSG00000078246 +12,47696486,Monocyte_CD14:ENSG00000079337 +12,47759216,Monocyte_CD14:ENSG00000079337 +12,47759298,Monocyte_CD14:ENSG00000079337 +12,71755116,Monocyte_CD14:ENSG00000080371 +12,985708,Monocyte_CD14:ENSG00000082805 +12,987384,Monocyte_CD14:ENSG00000082805 +12,95989185,Monocyte_CD14:ENSG00000084110 +12,95991748,Monocyte_CD14:ENSG00000084110 +12,96013313,Monocyte_CD14:ENSG00000084110 +12,96032284,Monocyte_CD14:ENSG00000084110 +12,108817531,Monocyte_CD14:ENSG00000084112 +12,13001189,Monocyte_CD14:ENSG00000084444 +12,123803489,Monocyte_CD14:ENSG00000086598 +12,27770595,Monocyte_CD14:ENSG00000087448 +12,32667742,Monocyte_CD14:ENSG00000087470 +12,32756918,Monocyte_CD14:ENSG00000087470 +12,29253188,Monocyte_CD14:ENSG00000087502 +12,29475731,Monocyte_CD14:ENSG00000087502 +12,120433033,Monocyte_CD14:ENSG00000088986 +12,120534593,Monocyte_CD14:ENSG00000088986 +12,117063345,Monocyte_CD14:ENSG00000088992 +12,112552323,Monocyte_CD14:ENSG00000089022 +12,121139189,Monocyte_CD14:ENSG00000089041 +12,121141854,Monocyte_CD14:ENSG00000089041 +12,121161590,Monocyte_CD14:ENSG00000089041 +12,121169537,Monocyte_CD14:ENSG00000089041 +12,121352124,Monocyte_CD14:ENSG00000089053 +12,113331957,Monocyte_CD14:ENSG00000089060 +12,121455181,Monocyte_CD14:ENSG00000089094 +12,112887655,Monocyte_CD14:ENSG00000089127 +12,112907451,Monocyte_CD14:ENSG00000089127 +12,112921513,Monocyte_CD14:ENSG00000089127 +12,120199160,Monocyte_CD14:ENSG00000089157 +12,120200822,Monocyte_CD14:ENSG00000089157 +12,112887655,Monocyte_CD14:ENSG00000089169 +12,112891414,Monocyte_CD14:ENSG00000089169 +12,118146789,Monocyte_CD14:ENSG00000089220 +12,112008906,Monocyte_CD14:ENSG00000089248 +12,6753166,Monocyte_CD14:ENSG00000089693 +12,8055929,Monocyte_CD14:ENSG00000089818 +12,66114658,Monocyte_CD14:ENSG00000090376 +12,66188160,Monocyte_CD14:ENSG00000090376 +12,66284561,Monocyte_CD14:ENSG00000090376 +12,69311914,Monocyte_CD14:ENSG00000090382 +12,69338393,Monocyte_CD14:ENSG00000090382 +12,133153914,Monocyte_CD14:ENSG00000090612 +12,76551279,Monocyte_CD14:ENSG00000091039 +12,76558113,Monocyte_CD14:ENSG00000091039 +12,76570689,Monocyte_CD14:ENSG00000091039 +12,76585875,Monocyte_CD14:ENSG00000091039 +12,76588946,Monocyte_CD14:ENSG00000091039 +12,76589006,Monocyte_CD14:ENSG00000091039 +12,76593631,Monocyte_CD14:ENSG00000091039 +12,76631299,Monocyte_CD14:ENSG00000091039 +12,76640088,Monocyte_CD14:ENSG00000091039 +12,76641852,Monocyte_CD14:ENSG00000091039 +12,56159264,Monocyte_CD14:ENSG00000092841 +12,56310265,Monocyte_CD14:ENSG00000092841 +12,54234403,Monocyte_CD14:ENSG00000094916 +12,92691779,Monocyte_CD14:ENSG00000102189 +12,92911535,Monocyte_CD14:ENSG00000102189 +12,6139585,Monocyte_CD14:ENSG00000110799 +12,6154369,Monocyte_CD14:ENSG00000110799 +12,6154542,Monocyte_CD14:ENSG00000110799 +12,121846809,Monocyte_CD14:ENSG00000110801 +12,107695720,Monocyte_CD14:ENSG00000110851 +12,107766775,Monocyte_CD14:ENSG00000110851 +12,9853044,Monocyte_CD14:ENSG00000110852 +12,9865180,Monocyte_CD14:ENSG00000110852 +12,120521359,Monocyte_CD14:ENSG00000110871 +12,108620465,Monocyte_CD14:ENSG00000110876 +12,108774469,Monocyte_CD14:ENSG00000110880 +12,30609549,Monocyte_CD14:ENSG00000110888 +12,109565867,Monocyte_CD14:ENSG00000110906 +12,120663349,Monocyte_CD14:ENSG00000110917 +12,120684133,Monocyte_CD14:ENSG00000110917 +12,120690334,Monocyte_CD14:ENSG00000110917 +12,120704239,Monocyte_CD14:ENSG00000110917 +12,121237911,Monocyte_CD14:ENSG00000110931 +12,121242657,Monocyte_CD14:ENSG00000110931 +12,121275270,Monocyte_CD14:ENSG00000110931 +12,121277142,Monocyte_CD14:ENSG00000110931 +12,121288603,Monocyte_CD14:ENSG00000110931 +12,121288662,Monocyte_CD14:ENSG00000110931 +12,51350658,Monocyte_CD14:ENSG00000110934 +12,56354042,Monocyte_CD14:ENSG00000110944 +12,56649912,Monocyte_CD14:ENSG00000110958 +12,56659828,Monocyte_CD14:ENSG00000110958 +12,56687548,Monocyte_CD14:ENSG00000110958 +12,122012372,Monocyte_CD14:ENSG00000110987 +12,122030850,Monocyte_CD14:ENSG00000110987 +12,122556438,Monocyte_CD14:ENSG00000111011 +12,80935958,Monocyte_CD14:ENSG00000111052 +12,80939827,Monocyte_CD14:ENSG00000111052 +12,95428540,Monocyte_CD14:ENSG00000111142 +12,95474190,Monocyte_CD14:ENSG00000111142 +12,96013313,Monocyte_CD14:ENSG00000111144 +12,96028949,Monocyte_CD14:ENSG00000111144 +12,96048144,Monocyte_CD14:ENSG00000111144 +12,96055761,Monocyte_CD14:ENSG00000111144 +12,96102002,Monocyte_CD14:ENSG00000111144 +12,96135575,Monocyte_CD14:ENSG00000111144 +12,96013313,Monocyte_CD14:ENSG00000111145 +12,212669,Monocyte_CD14:ENSG00000111181 +12,214321,Monocyte_CD14:ENSG00000111181 +12,1613573,Monocyte_CD14:ENSG00000111186 +12,10612966,Monocyte_CD14:ENSG00000111196 +12,109833148,Monocyte_CD14:ENSG00000111199 +12,11147006,Monocyte_CD14:ENSG00000111215 +12,110456752,Monocyte_CD14:ENSG00000111229 +12,110498794,Monocyte_CD14:ENSG00000111229 +12,110456752,Monocyte_CD14:ENSG00000111231 +12,110468064,Monocyte_CD14:ENSG00000111237 +12,4567740,Monocyte_CD14:ENSG00000111247 +12,111407152,Monocyte_CD14:ENSG00000111252 +12,12561172,Monocyte_CD14:ENSG00000111266 +12,12597602,Monocyte_CD14:ENSG00000111269 +12,110935149,Monocyte_CD14:ENSG00000111275 +12,111520155,Monocyte_CD14:ENSG00000111275 +12,111665344,Monocyte_CD14:ENSG00000111275 +12,111774029,Monocyte_CD14:ENSG00000111275 +12,111991218,Monocyte_CD14:ENSG00000111300 +12,6384202,Monocyte_CD14:ENSG00000111321 +12,6414600,Monocyte_CD14:ENSG00000111321 +12,123315427,Monocyte_CD14:ENSG00000111325 +12,123273688,Monocyte_CD14:ENSG00000111328 +12,123291919,Monocyte_CD14:ENSG00000111328 +12,123305460,Monocyte_CD14:ENSG00000111328 +12,112935783,Monocyte_CD14:ENSG00000111331 +12,112965870,Monocyte_CD14:ENSG00000111331 +12,112975123,Monocyte_CD14:ENSG00000111335 +12,14942441,Monocyte_CD14:ENSG00000111348 +12,14942773,Monocyte_CD14:ENSG00000111348 +12,14967881,Monocyte_CD14:ENSG00000111348 +12,123720063,Monocyte_CD14:ENSG00000111361 +12,123587317,Monocyte_CD14:ENSG00000111364 +12,46218300,Monocyte_CD14:ENSG00000111371 +12,116893039,Monocyte_CD14:ENSG00000111412 +12,47850799,Monocyte_CD14:ENSG00000111424 +12,130813650,Monocyte_CD14:ENSG00000111450 +12,130954694,Monocyte_CD14:ENSG00000111452 +12,130974793,Monocyte_CD14:ENSG00000111452 +12,130981411,Monocyte_CD14:ENSG00000111452 +12,130988517,Monocyte_CD14:ENSG00000111452 +12,54340569,Monocyte_CD14:ENSG00000111481 +12,64752864,Monocyte_CD14:ENSG00000111490 +12,67259846,Monocyte_CD14:ENSG00000111530 +12,68331345,Monocyte_CD14:ENSG00000111554 +12,68332526,Monocyte_CD14:ENSG00000111554 +12,68686326,Monocyte_CD14:ENSG00000111581 +12,68687204,Monocyte_CD14:ENSG00000111581 +12,68714023,Monocyte_CD14:ENSG00000111581 +12,70269366,Monocyte_CD14:ENSG00000111596 +12,75484847,Monocyte_CD14:ENSG00000111615 +12,75510437,Monocyte_CD14:ENSG00000111615 +12,6458871,Monocyte_CD14:ENSG00000111639 +12,6494280,Monocyte_CD14:ENSG00000111639 +12,6534537,Monocyte_CD14:ENSG00000111640 +12,6539034,Monocyte_CD14:ENSG00000111640 +12,6559757,Monocyte_CD14:ENSG00000111642 +12,100238436,Monocyte_CD14:ENSG00000111647 +12,6730955,Monocyte_CD14:ENSG00000111652 +12,6648652,Monocyte_CD14:ENSG00000111653 +12,7742551,Monocyte_CD14:ENSG00000111664 +12,101616416,Monocyte_CD14:ENSG00000111666 +12,101616563,Monocyte_CD14:ENSG00000111666 +12,101695621,Monocyte_CD14:ENSG00000111666 +12,101697290,Monocyte_CD14:ENSG00000111666 +12,101725630,Monocyte_CD14:ENSG00000111666 +12,6873241,Monocyte_CD14:ENSG00000111669 +12,101697290,Monocyte_CD14:ENSG00000111670 +12,101708303,Monocyte_CD14:ENSG00000111670 +12,6873241,Monocyte_CD14:ENSG00000111671 +12,6873467,Monocyte_CD14:ENSG00000111671 +12,6938254,Monocyte_CD14:ENSG00000111676 +12,6943869,Monocyte_CD14:ENSG00000111678 +12,7055490,Monocyte_CD14:ENSG00000111679 +12,103834795,Monocyte_CD14:ENSG00000111696 +12,21505670,Monocyte_CD14:ENSG00000111711 +12,21564687,Monocyte_CD14:ENSG00000111711 +12,21462274,Monocyte_CD14:ENSG00000111716 +12,119671479,Monocyte_CD14:ENSG00000111725 +12,8055929,Monocyte_CD14:ENSG00000111729 +12,8118746,Monocyte_CD14:ENSG00000111729 +12,8150115,Monocyte_CD14:ENSG00000111729 +12,22393545,Monocyte_CD14:ENSG00000111731 +12,22546719,Monocyte_CD14:ENSG00000111731 +12,8911909,Monocyte_CD14:ENSG00000111752 +12,8938181,Monocyte_CD14:ENSG00000111752 +12,8942397,Monocyte_CD14:ENSG00000111752 +12,120505638,Monocyte_CD14:ENSG00000111775 +12,120469347,Monocyte_CD14:ENSG00000111786 +12,132483963,Monocyte_CD14:ENSG00000112787 +12,25074449,Monocyte_CD14:ENSG00000118308 +12,59319577,Monocyte_CD14:ENSG00000118596 +12,59564728,Monocyte_CD14:ENSG00000118596 +12,59574306,Monocyte_CD14:ENSG00000118596 +12,59698937,Monocyte_CD14:ENSG00000118596 +12,59787282,Monocyte_CD14:ENSG00000118596 +12,4289284,Monocyte_CD14:ENSG00000118971 +12,4567740,Monocyte_CD14:ENSG00000118971 +12,124016175,Monocyte_CD14:ENSG00000119242 +12,409831,Monocyte_CD14:ENSG00000120647 +12,98509921,Monocyte_CD14:ENSG00000120802 +12,101365071,Monocyte_CD14:ENSG00000120805 +12,106987195,Monocyte_CD14:ENSG00000120832 +12,102069464,Monocyte_CD14:ENSG00000120860 +12,98597137,Monocyte_CD14:ENSG00000120868 +12,98642281,Monocyte_CD14:ENSG00000120868 +12,98646070,Monocyte_CD14:ENSG00000120868 +12,14530672,Monocyte_CD14:ENSG00000121316 +12,14561552,Monocyte_CD14:ENSG00000121316 +12,14563463,Monocyte_CD14:ENSG00000121316 +12,11171638,Monocyte_CD14:ENSG00000121318 +12,21453193,Monocyte_CD14:ENSG00000121350 +12,113818201,Monocyte_CD14:ENSG00000122965 +12,120792231,Monocyte_CD14:ENSG00000122971 +12,116401216,Monocyte_CD14:ENSG00000123066 +12,25964899,Monocyte_CD14:ENSG00000123094 +12,26758827,Monocyte_CD14:ENSG00000123104 +12,26841897,Monocyte_CD14:ENSG00000123104 +12,28190510,Monocyte_CD14:ENSG00000123106 +12,50823462,Monocyte_CD14:ENSG00000123268 +12,57788556,Monocyte_CD14:ENSG00000123297 +12,57460542,Monocyte_CD14:ENSG00000123329 +12,57476943,Monocyte_CD14:ENSG00000123329 +12,54475764,Monocyte_CD14:ENSG00000123338 +12,55735182,Monocyte_CD14:ENSG00000123353 +12,52045994,Monocyte_CD14:ENSG00000123358 +12,54550393,Monocyte_CD14:ENSG00000123360 +12,54550525,Monocyte_CD14:ENSG00000123360 +12,54561606,Monocyte_CD14:ENSG00000123360 +12,57128475,Monocyte_CD14:ENSG00000123384 +12,57192547,Monocyte_CD14:ENSG00000123384 +12,52045994,Monocyte_CD14:ENSG00000123395 +12,54292110,Monocyte_CD14:ENSG00000123405 +12,56073694,Monocyte_CD14:ENSG00000123411 +12,54182056,Monocyte_CD14:ENSG00000123415 +12,49128822,Monocyte_CD14:ENSG00000123416 +12,57774005,Monocyte_CD14:ENSG00000123427 +12,6689479,Monocyte_CD14:ENSG00000126746 +12,66302476,Monocyte_CD14:ENSG00000127311 +12,66310541,Monocyte_CD14:ENSG00000127311 +12,66351593,Monocyte_CD14:ENSG00000127311 +12,68331345,Monocyte_CD14:ENSG00000127314 +12,68363344,Monocyte_CD14:ENSG00000127314 +12,68377714,Monocyte_CD14:ENSG00000127314 +12,68383448,Monocyte_CD14:ENSG00000127314 +12,68822887,Monocyte_CD14:ENSG00000127314 +12,69763810,Monocyte_CD14:ENSG00000127328 +12,69764518,Monocyte_CD14:ENSG00000127328 +12,69783796,Monocyte_CD14:ENSG00000127328 +12,67690508,Monocyte_CD14:ENSG00000127334 +12,69358787,Monocyte_CD14:ENSG00000127337 +12,82399104,Monocyte_CD14:ENSG00000127720 +12,43665279,Monocyte_CD14:ENSG00000129317 +12,4987001,Monocyte_CD14:ENSG00000130035 +12,3728865,Monocyte_CD14:ENSG00000130038 +12,130853009,Monocyte_CD14:ENSG00000132341 +12,92112969,Monocyte_CD14:ENSG00000133639 +12,92139639,Monocyte_CD14:ENSG00000133639 +12,92154743,Monocyte_CD14:ENSG00000133639 +12,92220506,Monocyte_CD14:ENSG00000133639 +12,29683845,Monocyte_CD14:ENSG00000133687 +12,29761925,Monocyte_CD14:ENSG00000133687 +12,25193420,Monocyte_CD14:ENSG00000133703 +12,30671790,Monocyte_CD14:ENSG00000133704 +12,72186319,Monocyte_CD14:ENSG00000133858 +12,42450894,Monocyte_CD14:ENSG00000134283 +12,42455423,Monocyte_CD14:ENSG00000134283 +12,48957607,Monocyte_CD14:ENSG00000134287 +12,46432901,Monocyte_CD14:ENSG00000134294 +12,13204244,Monocyte_CD14:ENSG00000134531 +12,109075350,Monocyte_CD14:ENSG00000135093 +12,113422357,Monocyte_CD14:ENSG00000135094 +12,114762865,Monocyte_CD14:ENSG00000135111 +12,121018813,Monocyte_CD14:ENSG00000135114 +12,116893039,Monocyte_CD14:ENSG00000135116 +12,121161590,Monocyte_CD14:ENSG00000135124 +12,121210329,Monocyte_CD14:ENSG00000135124 +12,121232261,Monocyte_CD14:ENSG00000135124 +12,121244658,Monocyte_CD14:ENSG00000135124 +12,55677882,Monocyte_CD14:ENSG00000135404 +12,57788556,Monocyte_CD14:ENSG00000135407 +12,55717765,Monocyte_CD14:ENSG00000135437 +12,55721859,Monocyte_CD14:ENSG00000135437 +12,55677882,Monocyte_CD14:ENSG00000135441 +12,55717765,Monocyte_CD14:ENSG00000135441 +12,55721859,Monocyte_CD14:ENSG00000135441 +12,57788556,Monocyte_CD14:ENSG00000135452 +12,52227606,Monocyte_CD14:ENSG00000135480 +12,54243093,Monocyte_CD14:ENSG00000135486 +12,51987243,Monocyte_CD14:ENSG00000135503 +12,70342016,Monocyte_CD14:ENSG00000135643 +12,70355665,Monocyte_CD14:ENSG00000135643 +12,62184017,Monocyte_CD14:ENSG00000135655 +12,62202569,Monocyte_CD14:ENSG00000135655 +12,62207165,Monocyte_CD14:ENSG00000135655 +12,62215251,Monocyte_CD14:ENSG00000135655 +12,62229630,Monocyte_CD14:ENSG00000135655 +12,62237280,Monocyte_CD14:ENSG00000135655 +12,64752864,Monocyte_CD14:ENSG00000135677 +12,68951936,Monocyte_CD14:ENSG00000135678 +12,68952012,Monocyte_CD14:ENSG00000135678 +12,68787741,Monocyte_CD14:ENSG00000135679 +12,108510313,Monocyte_CD14:ENSG00000136003 +12,108546522,Monocyte_CD14:ENSG00000136003 +12,105106325,Monocyte_CD14:ENSG00000136010 +12,95564935,Monocyte_CD14:ENSG00000136014 +12,100325321,Monocyte_CD14:ENSG00000136021 +12,106246015,Monocyte_CD14:ENSG00000136026 +12,106249226,Monocyte_CD14:ENSG00000136026 +12,94124133,Monocyte_CD14:ENSG00000136040 +12,94165628,Monocyte_CD14:ENSG00000136040 +12,94245809,Monocyte_CD14:ENSG00000136040 +12,94258983,Monocyte_CD14:ENSG00000136040 +12,94263948,Monocyte_CD14:ENSG00000136040 +12,94267269,Monocyte_CD14:ENSG00000136040 +12,105037430,Monocyte_CD14:ENSG00000136044 +12,107733496,Monocyte_CD14:ENSG00000136045 +12,101874683,Monocyte_CD14:ENSG00000136048 +12,101885567,Monocyte_CD14:ENSG00000136048 +12,101885817,Monocyte_CD14:ENSG00000136048 +12,101900873,Monocyte_CD14:ENSG00000136048 +12,105063088,Monocyte_CD14:ENSG00000136051 +12,105177880,Monocyte_CD14:ENSG00000136051 +12,104936515,Monocyte_CD14:ENSG00000136052 +12,553707,Monocyte_CD14:ENSG00000139044 +12,14967881,Monocyte_CD14:ENSG00000139053 +12,14912889,Monocyte_CD14:ENSG00000139055 +12,11809974,Monocyte_CD14:ENSG00000139083 +12,10184563,Monocyte_CD14:ENSG00000139112 +12,10429051,Monocyte_CD14:ENSG00000139112 +12,39065585,Monocyte_CD14:ENSG00000139117 +12,32402090,Monocyte_CD14:ENSG00000139132 +12,32482541,Monocyte_CD14:ENSG00000139132 +12,32594510,Monocyte_CD14:ENSG00000139132 +12,31659301,Monocyte_CD14:ENSG00000139160 +12,22709133,Monocyte_CD14:ENSG00000139163 +12,42306492,Monocyte_CD14:ENSG00000139168 +12,42601917,Monocyte_CD14:ENSG00000139174 +12,42634622,Monocyte_CD14:ENSG00000139174 +12,42696972,Monocyte_CD14:ENSG00000139174 +12,7102105,Monocyte_CD14:ENSG00000139178 +12,7113449,Monocyte_CD14:ENSG00000139178 +12,4655043,Monocyte_CD14:ENSG00000139180 +12,7109587,Monocyte_CD14:ENSG00000139182 +12,7110808,Monocyte_CD14:ENSG00000139182 +12,8978795,Monocyte_CD14:ENSG00000139187 +12,6459409,Monocyte_CD14:ENSG00000139190 +12,6472751,Monocyte_CD14:ENSG00000139190 +12,6459409,Monocyte_CD14:ENSG00000139192 +12,6473933,Monocyte_CD14:ENSG00000139192 +12,7177410,Monocyte_CD14:ENSG00000139197 +12,46965749,Monocyte_CD14:ENSG00000139211 +12,75461476,Monocyte_CD14:ENSG00000139278 +12,75481804,Monocyte_CD14:ENSG00000139278 +12,75500597,Monocyte_CD14:ENSG00000139278 +12,76641852,Monocyte_CD14:ENSG00000139289 +12,89180403,Monocyte_CD14:ENSG00000139318 +12,89281032,Monocyte_CD14:ENSG00000139318 +12,89380755,Monocyte_CD14:ENSG00000139318 +12,89530983,Monocyte_CD14:ENSG00000139323 +12,95860811,Monocyte_CD14:ENSG00000139343 +12,95944237,Monocyte_CD14:ENSG00000139344 +12,95958403,Monocyte_CD14:ENSG00000139344 +12,96914893,Monocyte_CD14:ENSG00000139350 +12,100576385,Monocyte_CD14:ENSG00000139354 +12,128805712,Monocyte_CD14:ENSG00000139370 +12,103978878,Monocyte_CD14:ENSG00000139372 +12,113167867,Monocyte_CD14:ENSG00000139405 +12,113363149,Monocyte_CD14:ENSG00000139410 +12,113422357,Monocyte_CD14:ENSG00000139410 +12,113436806,Monocyte_CD14:ENSG00000139410 +12,109565867,Monocyte_CD14:ENSG00000139428 +12,109832916,Monocyte_CD14:ENSG00000139433 +12,109846660,Monocyte_CD14:ENSG00000139433 +12,110053508,Monocyte_CD14:ENSG00000139436 +12,55997336,Monocyte_CD14:ENSG00000139531 +12,56042327,Monocyte_CD14:ENSG00000139531 +12,51931308,Monocyte_CD14:ENSG00000139567 +12,54365197,Monocyte_CD14:ENSG00000139572 +12,55921723,Monocyte_CD14:ENSG00000139579 +12,51350658,Monocyte_CD14:ENSG00000139610 +12,48725066,Monocyte_CD14:ENSG00000139620 +12,50129746,Monocyte_CD14:ENSG00000139624 +12,53478666,Monocyte_CD14:ENSG00000139625 +12,53480022,Monocyte_CD14:ENSG00000139625 +12,51360587,Monocyte_CD14:ENSG00000139629 +12,51360889,Monocyte_CD14:ENSG00000139629 +12,51411065,Monocyte_CD14:ENSG00000139629 +12,53147961,Monocyte_CD14:ENSG00000139631 +12,49763305,Monocyte_CD14:ENSG00000139644 +12,53147961,Monocyte_CD14:ENSG00000139651 +12,53187599,Monocyte_CD14:ENSG00000139651 +12,123296865,Monocyte_CD14:ENSG00000139697 +12,122879278,Monocyte_CD14:ENSG00000139722 +12,123448369,Monocyte_CD14:ENSG00000150977 +12,124903349,Monocyte_CD14:ENSG00000150991 +12,124914631,Monocyte_CD14:ENSG00000150991 +12,1812036,Monocyte_CD14:ENSG00000151062 +12,105032794,Monocyte_CD14:ENSG00000151131 +12,106956389,Monocyte_CD14:ENSG00000151135 +12,107329003,Monocyte_CD14:ENSG00000151136 +12,109451308,Monocyte_CD14:ENSG00000151148 +12,110468064,Monocyte_CD14:ENSG00000151164 +12,113358761,Monocyte_CD14:ENSG00000151176 +12,113362146,Monocyte_CD14:ENSG00000151176 +12,40202747,Monocyte_CD14:ENSG00000151229 +12,42119371,Monocyte_CD14:ENSG00000151233 +12,43810265,Monocyte_CD14:ENSG00000151239 +12,15519093,Monocyte_CD14:ENSG00000151490 +12,31662291,Monocyte_CD14:ENSG00000151743 +12,32101128,Monocyte_CD14:ENSG00000151746 +12,32126694,Monocyte_CD14:ENSG00000151746 +12,128855292,Monocyte_CD14:ENSG00000151948 +12,48315336,Monocyte_CD14:ENSG00000152556 +12,64603174,Monocyte_CD14:ENSG00000153179 +12,64690968,Monocyte_CD14:ENSG00000153179 +12,66114658,Monocyte_CD14:ENSG00000155957 +12,66169865,Monocyte_CD14:ENSG00000155957 +12,66408138,Monocyte_CD14:ENSG00000155974 +12,120652695,Monocyte_CD14:ENSG00000157782 +12,120879272,Monocyte_CD14:ENSG00000157837 +12,120993469,Monocyte_CD14:ENSG00000157895 +12,121845875,Monocyte_CD14:ENSG00000158104 +12,6762231,Monocyte_CD14:ENSG00000159335 +12,54411731,Monocyte_CD14:ENSG00000161638 +12,54295532,Monocyte_CD14:ENSG00000161642 +12,54365197,Monocyte_CD14:ENSG00000161642 +12,50035186,Monocyte_CD14:ENSG00000161800 +12,9966163,Monocyte_CD14:ENSG00000165682 +12,10004212,Monocyte_CD14:ENSG00000165682 +12,10163116,Monocyte_CD14:ENSG00000165685 +12,12356945,Monocyte_CD14:ENSG00000165714 +12,12357177,Monocyte_CD14:ENSG00000165714 +12,106302808,Monocyte_CD14:ENSG00000166046 +12,98626347,Monocyte_CD14:ENSG00000166130 +12,98638161,Monocyte_CD14:ENSG00000166130 +12,98642281,Monocyte_CD14:ENSG00000166130 +12,69582909,Monocyte_CD14:ENSG00000166226 +12,8480884,Monocyte_CD14:ENSG00000166523 +12,8540898,Monocyte_CD14:ENSG00000166523 +12,8544371,Monocyte_CD14:ENSG00000166523 +12,8570593,Monocyte_CD14:ENSG00000166523 +12,8453929,Monocyte_CD14:ENSG00000166527 +12,8513327,Monocyte_CD14:ENSG00000166527 +12,8540898,Monocyte_CD14:ENSG00000166527 +12,8544759,Monocyte_CD14:ENSG00000166527 +12,8675789,Monocyte_CD14:ENSG00000166532 +12,8697226,Monocyte_CD14:ENSG00000166532 +12,8795833,Monocyte_CD14:ENSG00000166532 +12,113198939,Monocyte_CD14:ENSG00000166578 +12,57078844,Monocyte_CD14:ENSG00000166881 +12,57096125,Monocyte_CD14:ENSG00000166888 +12,57936089,Monocyte_CD14:ENSG00000166896 +12,57531628,Monocyte_CD14:ENSG00000166986 +12,120464476,Monocyte_CD14:ENSG00000167272 +12,48261305,Monocyte_CD14:ENSG00000167528 +12,48267905,Monocyte_CD14:ENSG00000167528 +12,48276511,Monocyte_CD14:ENSG00000167528 +12,48318219,Monocyte_CD14:ENSG00000167528 +12,48815569,Monocyte_CD14:ENSG00000167535 +12,49234932,Monocyte_CD14:ENSG00000167552 +12,52186408,Monocyte_CD14:ENSG00000167767 +12,53100436,Monocyte_CD14:ENSG00000167778 +12,123622221,Monocyte_CD14:ENSG00000168778 +12,52875992,Monocyte_CD14:ENSG00000170421 +12,55677882,Monocyte_CD14:ENSG00000170439 +12,31589985,Monocyte_CD14:ENSG00000170456 +12,51263997,Monocyte_CD14:ENSG00000170545 +12,56354042,Monocyte_CD14:ENSG00000170581 +12,54469366,Monocyte_CD14:ENSG00000170627 +12,53478666,Monocyte_CD14:ENSG00000170653 +12,120505638,Monocyte_CD14:ENSG00000170855 +12,104641223,Monocyte_CD14:ENSG00000171310 +12,104778975,Monocyte_CD14:ENSG00000171310 +12,2877509,Monocyte_CD14:ENSG00000171792 +12,602725,Monocyte_CD14:ENSG00000171840 +12,608800,Monocyte_CD14:ENSG00000171840 +12,629302,Monocyte_CD14:ENSG00000171840 +12,8227314,Monocyte_CD14:ENSG00000171847 +12,8055929,Monocyte_CD14:ENSG00000171860 +12,10070306,Monocyte_CD14:ENSG00000172243 +12,10121301,Monocyte_CD14:ENSG00000172243 +12,10130148,Monocyte_CD14:ENSG00000172243 +12,10132470,Monocyte_CD14:ENSG00000172243 +12,9943512,Monocyte_CD14:ENSG00000172322 +12,9966163,Monocyte_CD14:ENSG00000172322 +12,9971737,Monocyte_CD14:ENSG00000172322 +12,9983606,Monocyte_CD14:ENSG00000172322 +12,53220758,Monocyte_CD14:ENSG00000172819 +12,53359717,Monocyte_CD14:ENSG00000172819 +12,7899344,Monocyte_CD14:ENSG00000173262 +12,7928913,Monocyte_CD14:ENSG00000173262 +12,7929334,Monocyte_CD14:ENSG00000173262 +12,7929628,Monocyte_CD14:ENSG00000173262 +12,7934498,Monocyte_CD14:ENSG00000173262 +12,10163116,Monocyte_CD14:ENSG00000173391 +12,10180283,Monocyte_CD14:ENSG00000173391 +12,93237295,Monocyte_CD14:ENSG00000173598 +12,65249714,Monocyte_CD14:ENSG00000174106 +12,108316443,Monocyte_CD14:ENSG00000174600 +12,108326669,Monocyte_CD14:ENSG00000174600 +12,108327168,Monocyte_CD14:ENSG00000174600 +12,31923607,Monocyte_CD14:ENSG00000174718 +12,31961638,Monocyte_CD14:ENSG00000174718 +12,31971491,Monocyte_CD14:ENSG00000174718 +12,116893039,Monocyte_CD14:ENSG00000174989 +12,57531628,Monocyte_CD14:ENSG00000175197 +12,38248444,Monocyte_CD14:ENSG00000175548 +12,122133442,Monocyte_CD14:ENSG00000175727 +12,68768940,Monocyte_CD14:ENSG00000175782 +12,68811601,Monocyte_CD14:ENSG00000175782 +12,9088325,Monocyte_CD14:ENSG00000175899 +12,120714769,Monocyte_CD14:ENSG00000175970 +12,120792231,Monocyte_CD14:ENSG00000175970 +12,56467691,Monocyte_CD14:ENSG00000176422 +12,56468983,Monocyte_CD14:ENSG00000176422 +12,118063793,Monocyte_CD14:ENSG00000176834 +12,118103325,Monocyte_CD14:ENSG00000176834 +12,118045236,Monocyte_CD14:ENSG00000176871 +12,118063793,Monocyte_CD14:ENSG00000176871 +12,132645128,Monocyte_CD14:ENSG00000176894 +12,132764267,Monocyte_CD14:ENSG00000176915 +12,132645128,Monocyte_CD14:ENSG00000177084 +12,641844,Monocyte_CD14:ENSG00000177406 +12,7474805,Monocyte_CD14:ENSG00000177575 +12,7568890,Monocyte_CD14:ENSG00000177575 +12,7474805,Monocyte_CD14:ENSG00000177675 +12,50129746,Monocyte_CD14:ENSG00000178449 +12,12728388,Monocyte_CD14:ENSG00000178878 +12,82912342,Monocyte_CD14:ENSG00000179104 +12,123972597,Monocyte_CD14:ENSG00000179195 +12,76641852,Monocyte_CD14:ENSG00000179941 +12,95076400,Monocyte_CD14:ENSG00000180263 +12,95136078,Monocyte_CD14:ENSG00000180263 +12,75316235,Monocyte_CD14:ENSG00000180481 +12,75316235,Monocyte_CD14:ENSG00000180881 +12,122976172,Monocyte_CD14:ENSG00000182196 +12,53252132,Monocyte_CD14:ENSG00000182544 +12,122718526,Monocyte_CD14:ENSG00000182782 +12,14798224,Monocyte_CD14:ENSG00000182993 +12,108623678,Monocyte_CD14:ENSG00000183160 +12,51205821,Monocyte_CD14:ENSG00000183283 +12,131851047,Monocyte_CD14:ENSG00000183495 +12,64355520,Monocyte_CD14:ENSG00000183735 +12,123432442,Monocyte_CD14:ENSG00000183955 +12,122294328,Monocyte_CD14:ENSG00000184047 +12,51161752,Monocyte_CD14:ENSG00000184271 +12,9732980,Monocyte_CD14:ENSG00000184293 +12,9733344,Monocyte_CD14:ENSG00000184293 +12,122556438,Monocyte_CD14:ENSG00000184445 +12,64363766,Monocyte_CD14:ENSG00000184575 +12,94833001,Monocyte_CD14:ENSG00000184752 +12,94845306,Monocyte_CD14:ENSG00000184752 +12,95003800,Monocyte_CD14:ENSG00000184752 +12,95005582,Monocyte_CD14:ENSG00000184752 +12,124997101,Monocyte_CD14:ENSG00000184992 +12,125000305,Monocyte_CD14:ENSG00000184992 +12,100945415,Monocyte_CD14:ENSG00000185046 +12,131945301,Monocyte_CD14:ENSG00000185163 +12,123735363,Monocyte_CD14:ENSG00000185344 +12,50918833,Monocyte_CD14:ENSG00000185432 +12,50924667,Monocyte_CD14:ENSG00000185432 +12,57251487,Monocyte_CD14:ENSG00000185482 +12,53381042,Monocyte_CD14:ENSG00000185591 +12,110527709,Monocyte_CD14:ENSG00000186298 +12,113245587,Monocyte_CD14:ENSG00000186815 +12,76585875,Monocyte_CD14:ENSG00000186908 +12,76641852,Monocyte_CD14:ENSG00000186908 +12,76033981,Monocyte_CD14:ENSG00000187109 +12,76083296,Monocyte_CD14:ENSG00000187109 +12,76084070,Monocyte_CD14:ENSG00000187109 +12,76558113,Monocyte_CD14:ENSG00000187109 +12,76585875,Monocyte_CD14:ENSG00000187109 +12,76589006,Monocyte_CD14:ENSG00000187109 +12,76641852,Monocyte_CD14:ENSG00000187109 +12,48267905,Monocyte_CD14:ENSG00000187166 +12,55762461,Monocyte_CD14:ENSG00000187857 +12,29761925,Monocyte_CD14:ENSG00000187950 +12,121777222,Monocyte_CD14:ENSG00000188735 +12,40130460,Monocyte_CD14:ENSG00000188906 +12,40204196,Monocyte_CD14:ENSG00000188906 +12,40222373,Monocyte_CD14:ENSG00000188906 +12,40362487,Monocyte_CD14:ENSG00000188906 +12,40430419,Monocyte_CD14:ENSG00000188906 +12,109095262,Monocyte_CD14:ENSG00000189046 +12,45727928,Monocyte_CD14:ENSG00000189079 +12,132799003,Monocyte_CD14:ENSG00000196458 +12,132922074,Monocyte_CD14:ENSG00000196458 +12,133208888,Monocyte_CD14:ENSG00000196458 +12,133218589,Monocyte_CD14:ENSG00000196458 +12,133239782,Monocyte_CD14:ENSG00000196458 +12,124727153,Monocyte_CD14:ENSG00000196498 +12,56690515,Monocyte_CD14:ENSG00000196531 +12,116532887,Monocyte_CD14:ENSG00000196668 +12,110550557,Monocyte_CD14:ENSG00000196850 +12,63984823,Monocyte_CD14:ENSG00000196935 +12,53478666,Monocyte_CD14:ENSG00000197111 +12,56042327,Monocyte_CD14:ENSG00000197728 +12,93461736,Monocyte_CD14:ENSG00000198015 +12,93466993,Monocyte_CD14:ENSG00000198015 +12,93467825,Monocyte_CD14:ENSG00000198015 +12,93485848,Monocyte_CD14:ENSG00000198015 +12,133104970,Monocyte_CD14:ENSG00000198040 +12,56752424,Monocyte_CD14:ENSG00000198056 +12,7748470,Monocyte_CD14:ENSG00000198178 +12,112008906,Monocyte_CD14:ENSG00000198270 +12,111353873,Monocyte_CD14:ENSG00000198324 +12,131819690,Monocyte_CD14:ENSG00000198598 +12,131851047,Monocyte_CD14:ENSG00000198598 +12,131854009,Monocyte_CD14:ENSG00000198598 +12,62215251,Monocyte_CD14:ENSG00000198673 +12,62229630,Monocyte_CD14:ENSG00000198673 +12,62237280,Monocyte_CD14:ENSG00000198673 +12,88246354,Monocyte_CD14:ENSG00000198707 +12,110456752,Monocyte_CD14:ENSG00000204856 +12,103947620,Monocyte_CD14:ENSG00000204954 +12,25195199,Monocyte_CD14:ENSG00000205707 +12,25195559,Monocyte_CD14:ENSG00000205707 +12,8453929,Monocyte_CD14:ENSG00000205846 +12,8540898,Monocyte_CD14:ENSG00000205846 +12,7109587,Monocyte_CD14:ENSG00000205885 +12,7110808,Monocyte_CD14:ENSG00000205885 +12,7257725,Monocyte_CD14:ENSG00000205885 +12,27030523,Monocyte_CD14:ENSG00000211455 +12,47648088,Monocyte_CD14:ENSG00000211584 +12,11147006,Monocyte_CD14:ENSG00000212124 +12,11147006,Monocyte_CD14:ENSG00000212126 +12,11147006,Monocyte_CD14:ENSG00000212127 +12,11171638,Monocyte_CD14:ENSG00000212127 +12,11171638,Monocyte_CD14:ENSG00000212128 +12,121789545,Monocyte_CD14:ENSG00000212694 +12,12825135,Monocyte_CD14:ENSG00000213782 +12,14568671,Monocyte_CD14:ENSG00000214772 +12,6451461,Monocyte_CD14:ENSG00000215039 +12,40193719,Monocyte_CD14:ENSG00000223914 +12,64629978,Monocyte_CD14:ENSG00000225195 +12,9943487,Monocyte_CD14:ENSG00000225231 +12,9964613,Monocyte_CD14:ENSG00000225231 +12,9966163,Monocyte_CD14:ENSG00000225231 +12,40220634,Monocyte_CD14:ENSG00000225342 +12,8292362,Monocyte_CD14:ENSG00000226091 +12,8361490,Monocyte_CD14:ENSG00000226091 +12,8403214,Monocyte_CD14:ENSG00000226091 +12,8442584,Monocyte_CD14:ENSG00000226091 +12,8448295,Monocyte_CD14:ENSG00000226091 +12,8460422,Monocyte_CD14:ENSG00000226091 +12,8493616,Monocyte_CD14:ENSG00000226091 +12,8540898,Monocyte_CD14:ENSG00000226091 +12,8180239,Monocyte_CD14:ENSG00000226711 +12,11133124,Monocyte_CD14:ENSG00000226761 +12,56115103,Monocyte_CD14:ENSG00000229117 +12,9966163,Monocyte_CD14:ENSG00000231560 +12,11171638,Monocyte_CD14:ENSG00000231887 +12,111603100,Monocyte_CD14:ENSG00000234608 +12,9088325,Monocyte_CD14:ENSG00000245105 +12,10429051,Monocyte_CD14:ENSG00000245648 +12,92145727,Monocyte_CD14:ENSG00000245904 +12,14759546,Monocyte_CD14:ENSG00000246705 +12,14775060,Monocyte_CD14:ENSG00000246705 +12,69915503,Monocyte_CD14:ENSG00000247131 +12,10986149,Monocyte_CD14:ENSG00000247157 +12,11073374,Monocyte_CD14:ENSG00000247157 +12,123587317,Monocyte_CD14:ENSG00000247373 +12,12927713,Monocyte_CD14:ENSG00000247498 +12,47214858,Monocyte_CD14:ENSG00000247774 +12,8792793,Monocyte_CD14:ENSG00000249790 +12,54182056,Monocyte_CD14:ENSG00000250432 +12,6821809,Monocyte_CD14:ENSG00000250510 +12,54130128,Monocyte_CD14:ENSG00000250742 +12,68451822,Monocyte_CD14:ENSG00000251301 +12,19162584,Monocyte_CD14:ENSG00000253284 +12,74800787,Monocyte_CD14:ENSG00000253719 +12,11034022,Monocyte_CD14:ENSG00000255374 +12,122718526,Monocyte_CD14:ENSG00000255398 +12,13033367,Monocyte_CD14:ENSG00000255621 +12,31888909,Monocyte_CD14:ENSG00000255760 +12,8566753,Monocyte_CD14:ENSG00000255801 +12,11147006,Monocyte_CD14:ENSG00000255837 +12,9966163,Monocyte_CD14:ENSG00000255882 +12,127155955,Monocyte_CD14:ENSG00000256001 +12,127162803,Monocyte_CD14:ENSG00000256001 +12,123311732,Monocyte_CD14:ENSG00000256092 +12,123335006,Monocyte_CD14:ENSG00000256092 +12,11177848,Monocyte_CD14:ENSG00000256188 +12,133218018,Monocyte_CD14:ENSG00000256223 +12,109038211,Monocyte_CD14:ENSG00000256262 +12,109053663,Monocyte_CD14:ENSG00000256262 +12,68811601,Monocyte_CD14:ENSG00000256325 +12,27710638,Monocyte_CD14:ENSG00000256377 +12,6394355,Monocyte_CD14:ENSG00000256433 +12,6402412,Monocyte_CD14:ENSG00000256433 +12,11147006,Monocyte_CD14:ENSG00000256436 +12,11171638,Monocyte_CD14:ENSG00000256436 +12,11163935,Monocyte_CD14:ENSG00000256537 +12,122047797,Monocyte_CD14:ENSG00000256546 +12,131945301,Monocyte_CD14:ENSG00000256576 +12,132174598,Monocyte_CD14:ENSG00000256576 +12,132188078,Monocyte_CD14:ENSG00000256576 +12,9966163,Monocyte_CD14:ENSG00000256660 +12,9986743,Monocyte_CD14:ENSG00000256660 +12,9999979,Monocyte_CD14:ENSG00000256660 +12,14563463,Monocyte_CD14:ENSG00000256751 +12,14568671,Monocyte_CD14:ENSG00000256751 +12,3063252,Monocyte_CD14:ENSG00000256862 +12,111908,Monocyte_CD14:ENSG00000256948 +12,114091,Monocyte_CD14:ENSG00000256948 +12,115479,Monocyte_CD14:ENSG00000256948 +12,9656143,Monocyte_CD14:ENSG00000257027 +12,29344283,Monocyte_CD14:ENSG00000257176 +12,120464476,Monocyte_CD14:ENSG00000257218 +12,120585686,Monocyte_CD14:ENSG00000257218 +12,42459379,Monocyte_CD14:ENSG00000257225 +12,41932613,Monocyte_CD14:ENSG00000257239 +12,46355221,Monocyte_CD14:ENSG00000257261 +12,116893039,Monocyte_CD14:ENSG00000257279 +12,56300215,Monocyte_CD14:ENSG00000257303 +12,47648088,Monocyte_CD14:ENSG00000257433 +12,89510982,Monocyte_CD14:ENSG00000257594 +12,111375552,Monocyte_CD14:ENSG00000257595 +12,29369503,Monocyte_CD14:ENSG00000257599 +12,103834795,Monocyte_CD14:ENSG00000257681 +12,57936089,Monocyte_CD14:ENSG00000257698 +12,57936152,Monocyte_CD14:ENSG00000257698 +12,69291798,Monocyte_CD14:ENSG00000257764 +12,69326089,Monocyte_CD14:ENSG00000257764 +12,69341790,Monocyte_CD14:ENSG00000257764 +12,69347680,Monocyte_CD14:ENSG00000257764 +12,69381102,Monocyte_CD14:ENSG00000257764 +12,69382403,Monocyte_CD14:ENSG00000257764 +12,70243180,Monocyte_CD14:ENSG00000257815 +12,70246114,Monocyte_CD14:ENSG00000257815 +12,76029255,Monocyte_CD14:ENSG00000257839 +12,96006228,Monocyte_CD14:ENSG00000257878 +12,49192862,Monocyte_CD14:ENSG00000258017 +12,55677882,Monocyte_CD14:ENSG00000258056 +12,42625747,Monocyte_CD14:ENSG00000258068 +12,49234932,Monocyte_CD14:ENSG00000258101 +12,49255482,Monocyte_CD14:ENSG00000258101 +12,70467276,Monocyte_CD14:ENSG00000258168 +12,70469571,Monocyte_CD14:ENSG00000258168 +12,89541128,Monocyte_CD14:ENSG00000258302 +12,54182056,Monocyte_CD14:ENSG00000260470 +12,40158476,Monocyte_CD14:ENSG00000260943 +12,51870087,Monocyte_CD14:ENSG00000261308 +12,14798224,Monocyte_CD14:ENSG00000261324 +12,51867706,Monocyte_CD14:ENSG00000261586 +12,284558,Monocyte_CD14:ENSG00000261799 +12,47562904,Monocyte_CD14:ENSG00000268069 +12,48259580,Monocyte_CD14:ENSG00000269514 +12,48267905,Monocyte_CD14:ENSG00000269514 +12,6727813,Monocyte_CD14:ENSG00000269892 +12,6539034,Monocyte_CD14:ENSG00000269968 +12,89525551,Monocyte_CD14:ENSG00000270344 +12,89541128,Monocyte_CD14:ENSG00000270344 +12,50165169,Monocyte_CD14:ENSG00000272368 +12,46355221,Monocyte_CD14:ENSG00000272369 +12,48364665,Monocyte_CD14:ENSG00000273765 +12,122380107,Monocyte_CD14:ENSG00000274191 +12,29344283,Monocyte_CD14:ENSG00000274315 +12,47648088,Monocyte_CD14:ENSG00000274902 +12,32126694,Monocyte_CD14:ENSG00000274964 +12,69338393,Monocyte_CD14:ENSG00000274979 +12,11171638,Monocyte_CD14:ENSG00000275119 +12,29253188,Monocyte_CD14:ENSG00000275278 +12,29344283,Monocyte_CD14:ENSG00000275476 +12,46355221,Monocyte_CD14:ENSG00000275481 +12,118383995,Monocyte_CD14:ENSG00000275759 +12,27081981,Monocyte_CD14:ENSG00000275764 +12,121633759,Monocyte_CD14:ENSG00000276045 +12,32126694,Monocyte_CD14:ENSG00000276115 +12,6459409,Monocyte_CD14:ENSG00000276718 +12,31648718,Monocyte_CD14:ENSG00000276900 +12,106249226,Monocyte_CD14:ENSG00000277715 +12,116893039,Monocyte_CD14:ENSG00000277840 +12,92363768,Monocyte_CD14:ENSG00000277851 +12,125029324,Monocyte_CD14:ENSG00000280634 +12,95459236,Monocyte_CD14:ENSG00000283422 +12,9649023,Monocyte_CD14:ENSG00000284634 +12,9656143,Monocyte_CD14:ENSG00000284634 +12,9732980,Monocyte_CD14:ENSG00000284634 +12,16366621,Monocyte_CD14:ENSG00000286303 +12,8308396,Monocyte_CD14:ENSG00000286504 +12,8358618,Monocyte_CD14:ENSG00000286504 +12,8376161,Monocyte_CD14:ENSG00000286504 +12,8480884,Monocyte_CD14:ENSG00000286504 +12,127162803,Monocyte_CD14:ENSG00000287339 +12,96978854,Monocyte_CD14:ENSG00000287454 +22,17648780,Monocyte_CD14:ENSG00000015475 +22,17773177,Monocyte_CD14:ENSG00000015475 +22,50496450,Monocyte_CD14:ENSG00000025708 +22,50524895,Monocyte_CD14:ENSG00000025708 +22,50530029,Monocyte_CD14:ENSG00000025708 +22,50532837,Monocyte_CD14:ENSG00000025708 +22,50537216,Monocyte_CD14:ENSG00000025708 +22,50561586,Monocyte_CD14:ENSG00000025708 +22,17149499,Monocyte_CD14:ENSG00000069998 +22,19263567,Monocyte_CD14:ENSG00000070371 +22,19083895,Monocyte_CD14:ENSG00000070413 +22,50079313,Monocyte_CD14:ENSG00000073146 +22,50196691,Monocyte_CD14:ENSG00000073150 +22,50191443,Monocyte_CD14:ENSG00000073169 +22,46294964,Monocyte_CD14:ENSG00000075234 +22,46587848,Monocyte_CD14:ENSG00000075240 +22,46617092,Monocyte_CD14:ENSG00000075240 +22,46824392,Monocyte_CD14:ENSG00000075275 +22,45413743,Monocyte_CD14:ENSG00000077935 +22,50783672,Monocyte_CD14:ENSG00000079974 +22,45131964,Monocyte_CD14:ENSG00000093000 +22,45146359,Monocyte_CD14:ENSG00000093000 +22,45188017,Monocyte_CD14:ENSG00000093000 +22,19919519,Monocyte_CD14:ENSG00000093010 +22,19924835,Monocyte_CD14:ENSG00000093010 +22,17173199,Monocyte_CD14:ENSG00000093072 +22,17175137,Monocyte_CD14:ENSG00000093072 +22,17199694,Monocyte_CD14:ENSG00000093072 +22,17219394,Monocyte_CD14:ENSG00000093072 +22,17242284,Monocyte_CD14:ENSG00000093072 +22,19990183,Monocyte_CD14:ENSG00000099889 +22,20102304,Monocyte_CD14:ENSG00000099899 +22,20529068,Monocyte_CD14:ENSG00000099917 +22,20868066,Monocyte_CD14:ENSG00000099940 +22,20891808,Monocyte_CD14:ENSG00000099940 +22,20968554,Monocyte_CD14:ENSG00000099949 +22,17219394,Monocyte_CD14:ENSG00000099954 +22,23813922,Monocyte_CD14:ENSG00000099956 +22,23815350,Monocyte_CD14:ENSG00000099956 +22,21045249,Monocyte_CD14:ENSG00000099957 +22,17592981,Monocyte_CD14:ENSG00000099968 +22,17648780,Monocyte_CD14:ENSG00000099968 +22,17683132,Monocyte_CD14:ENSG00000099968 +22,23924767,Monocyte_CD14:ENSG00000099974 +22,23918738,Monocyte_CD14:ENSG00000099977 +22,23924767,Monocyte_CD14:ENSG00000099977 +22,23971679,Monocyte_CD14:ENSG00000099977 +22,24370018,Monocyte_CD14:ENSG00000100014 +22,24375987,Monocyte_CD14:ENSG00000100014 +22,24392729,Monocyte_CD14:ENSG00000100014 +22,21665385,Monocyte_CD14:ENSG00000100023 +22,24551484,Monocyte_CD14:ENSG00000100028 +22,21861527,Monocyte_CD14:ENSG00000100030 +22,21886140,Monocyte_CD14:ENSG00000100034 +22,21943975,Monocyte_CD14:ENSG00000100034 +22,30641218,Monocyte_CD14:ENSG00000100036 +22,21943975,Monocyte_CD14:ENSG00000100038 +22,37282524,Monocyte_CD14:ENSG00000100055 +22,37298931,Monocyte_CD14:ENSG00000100055 +22,37317205,Monocyte_CD14:ENSG00000100055 +22,19128322,Monocyte_CD14:ENSG00000100056 +22,19128322,Monocyte_CD14:ENSG00000100075 +22,19146895,Monocyte_CD14:ENSG00000100075 +22,19149243,Monocyte_CD14:ENSG00000100075 +22,19160971,Monocyte_CD14:ENSG00000100075 +22,37575242,Monocyte_CD14:ENSG00000100079 +22,37577630,Monocyte_CD14:ENSG00000100079 +22,37591809,Monocyte_CD14:ENSG00000100079 +22,37633716,Monocyte_CD14:ENSG00000100083 +22,37633716,Monocyte_CD14:ENSG00000100092 +22,26185960,Monocyte_CD14:ENSG00000100095 +22,37639342,Monocyte_CD14:ENSG00000100097 +22,37641931,Monocyte_CD14:ENSG00000100097 +22,37675036,Monocyte_CD14:ENSG00000100097 +22,37675700,Monocyte_CD14:ENSG00000100097 +22,31364264,Monocyte_CD14:ENSG00000100100 +22,37744345,Monocyte_CD14:ENSG00000100106 +22,37758537,Monocyte_CD14:ENSG00000100106 +22,37963660,Monocyte_CD14:ENSG00000100106 +22,26513892,Monocyte_CD14:ENSG00000100109 +22,37806392,Monocyte_CD14:ENSG00000100116 +22,37927345,Monocyte_CD14:ENSG00000100116 +22,38051629,Monocyte_CD14:ENSG00000100124 +22,37855622,Monocyte_CD14:ENSG00000100129 +22,37911053,Monocyte_CD14:ENSG00000100129 +22,41479800,Monocyte_CD14:ENSG00000100138 +22,41707028,Monocyte_CD14:ENSG00000100138 +22,41802089,Monocyte_CD14:ENSG00000100147 +22,38056358,Monocyte_CD14:ENSG00000100151 +22,28680649,Monocyte_CD14:ENSG00000100154 +22,41978345,Monocyte_CD14:ENSG00000100167 +22,41802089,Monocyte_CD14:ENSG00000100197 +22,42218356,Monocyte_CD14:ENSG00000100197 +22,38475886,Monocyte_CD14:ENSG00000100201 +22,38485449,Monocyte_CD14:ENSG00000100201 +22,38724157,Monocyte_CD14:ENSG00000100201 +22,28919797,Monocyte_CD14:ENSG00000100209 +22,38669167,Monocyte_CD14:ENSG00000100211 +22,38712187,Monocyte_CD14:ENSG00000100216 +22,28777133,Monocyte_CD14:ENSG00000100219 +22,28778350,Monocyte_CD14:ENSG00000100219 +22,28801396,Monocyte_CD14:ENSG00000100219 +22,32355243,Monocyte_CD14:ENSG00000100220 +22,38644507,Monocyte_CD14:ENSG00000100221 +22,32470947,Monocyte_CD14:ENSG00000100225 +22,32471889,Monocyte_CD14:ENSG00000100225 +22,42585672,Monocyte_CD14:ENSG00000100227 +22,23162772,Monocyte_CD14:ENSG00000100228 +22,50382827,Monocyte_CD14:ENSG00000100239 +22,50403645,Monocyte_CD14:ENSG00000100239 +22,50382827,Monocyte_CD14:ENSG00000100241 +22,38709702,Monocyte_CD14:ENSG00000100242 +22,42648566,Monocyte_CD14:ENSG00000100243 +22,43008101,Monocyte_CD14:ENSG00000100266 +22,29365661,Monocyte_CD14:ENSG00000100276 +22,29365661,Monocyte_CD14:ENSG00000100280 +22,35328666,Monocyte_CD14:ENSG00000100284 +22,29475746,Monocyte_CD14:ENSG00000100285 +22,50570496,Monocyte_CD14:ENSG00000100288 +22,50571633,Monocyte_CD14:ENSG00000100288 +22,50583170,Monocyte_CD14:ENSG00000100288 +22,35304770,Monocyte_CD14:ENSG00000100292 +22,35337729,Monocyte_CD14:ENSG00000100292 +22,35380936,Monocyte_CD14:ENSG00000100292 +22,35383914,Monocyte_CD14:ENSG00000100292 +22,35410245,Monocyte_CD14:ENSG00000100292 +22,35410245,Monocyte_CD14:ENSG00000100297 +22,50625049,Monocyte_CD14:ENSG00000100299 +22,50627096,Monocyte_CD14:ENSG00000100299 +22,50627172,Monocyte_CD14:ENSG00000100299 +22,43148023,Monocyte_CD14:ENSG00000100300 +22,43153733,Monocyte_CD14:ENSG00000100300 +22,43162966,Monocyte_CD14:ENSG00000100300 +22,43183702,Monocyte_CD14:ENSG00000100300 +22,43162966,Monocyte_CD14:ENSG00000100304 +22,43181208,Monocyte_CD14:ENSG00000100304 +22,39011541,Monocyte_CD14:ENSG00000100311 +22,39319603,Monocyte_CD14:ENSG00000100316 +22,39351082,Monocyte_CD14:ENSG00000100321 +22,39360426,Monocyte_CD14:ENSG00000100321 +22,39398236,Monocyte_CD14:ENSG00000100321 +22,29820993,Monocyte_CD14:ENSG00000100325 +22,29899972,Monocyte_CD14:ENSG00000100330 +22,36188231,Monocyte_CD14:ENSG00000100336 +22,36201506,Monocyte_CD14:ENSG00000100336 +22,36201835,Monocyte_CD14:ENSG00000100336 +22,36258966,Monocyte_CD14:ENSG00000100342 +22,36281868,Monocyte_CD14:ENSG00000100345 +22,36283593,Monocyte_CD14:ENSG00000100345 +22,43955471,Monocyte_CD14:ENSG00000100347 +22,36494295,Monocyte_CD14:ENSG00000100348 +22,36462853,Monocyte_CD14:ENSG00000100350 +22,36505575,Monocyte_CD14:ENSG00000100350 +22,36528192,Monocyte_CD14:ENSG00000100353 +22,36775567,Monocyte_CD14:ENSG00000100360 +22,45131964,Monocyte_CD14:ENSG00000100364 +22,45153968,Monocyte_CD14:ENSG00000100364 +22,45220284,Monocyte_CD14:ENSG00000100364 +22,45222677,Monocyte_CD14:ENSG00000100364 +22,45235512,Monocyte_CD14:ENSG00000100364 +22,36862461,Monocyte_CD14:ENSG00000100365 +22,36863563,Monocyte_CD14:ENSG00000100365 +22,36873136,Monocyte_CD14:ENSG00000100368 +22,45282495,Monocyte_CD14:ENSG00000100373 +22,45287951,Monocyte_CD14:ENSG00000100373 +22,45288254,Monocyte_CD14:ENSG00000100373 +22,45292864,Monocyte_CD14:ENSG00000100373 +22,45279765,Monocyte_CD14:ENSG00000100376 +22,45323616,Monocyte_CD14:ENSG00000100376 +22,45347333,Monocyte_CD14:ENSG00000100376 +22,40902871,Monocyte_CD14:ENSG00000100380 +22,41175272,Monocyte_CD14:ENSG00000100393 +22,41180372,Monocyte_CD14:ENSG00000100399 +22,42220507,Monocyte_CD14:ENSG00000100399 +22,41282347,Monocyte_CD14:ENSG00000100401 +22,41420221,Monocyte_CD14:ENSG00000100410 +22,41591933,Monocyte_CD14:ENSG00000100417 +22,41802089,Monocyte_CD14:ENSG00000100418 +22,46685071,Monocyte_CD14:ENSG00000100422 +22,46739308,Monocyte_CD14:ENSG00000100422 +22,49848905,Monocyte_CD14:ENSG00000100425 +22,49922325,Monocyte_CD14:ENSG00000100426 +22,50083305,Monocyte_CD14:ENSG00000100427 +22,50118978,Monocyte_CD14:ENSG00000100427 +22,20298758,Monocyte_CD14:ENSG00000128185 +22,26431369,Monocyte_CD14:ENSG00000128203 +22,31922107,Monocyte_CD14:ENSG00000128245 +22,32203729,Monocyte_CD14:ENSG00000128253 +22,24492828,Monocyte_CD14:ENSG00000128271 +22,39544257,Monocyte_CD14:ENSG00000128272 +22,37562305,Monocyte_CD14:ENSG00000128283 +22,37575242,Monocyte_CD14:ENSG00000128283 +22,36161452,Monocyte_CD14:ENSG00000128284 +22,26525759,Monocyte_CD14:ENSG00000128294 +22,26537287,Monocyte_CD14:ENSG00000128294 +22,36973248,Monocyte_CD14:ENSG00000128309 +22,36973248,Monocyte_CD14:ENSG00000128311 +22,37024082,Monocyte_CD14:ENSG00000128311 +22,23646070,Monocyte_CD14:ENSG00000128322 +22,36236597,Monocyte_CD14:ENSG00000128335 +22,37224189,Monocyte_CD14:ENSG00000128340 +22,37237310,Monocyte_CD14:ENSG00000128340 +22,37283446,Monocyte_CD14:ENSG00000128340 +22,38954217,Monocyte_CD14:ENSG00000128383 +22,38962032,Monocyte_CD14:ENSG00000128383 +22,38970957,Monocyte_CD14:ENSG00000128383 +22,39070198,Monocyte_CD14:ENSG00000128394 +22,45413743,Monocyte_CD14:ENSG00000128408 +22,50542556,Monocyte_CD14:ENSG00000130487 +22,50549764,Monocyte_CD14:ENSG00000130487 +22,45682483,Monocyte_CD14:ENSG00000130638 +22,17594874,Monocyte_CD14:ENSG00000131100 +22,17648780,Monocyte_CD14:ENSG00000131100 +22,23971679,Monocyte_CD14:ENSG00000133433 +22,23860642,Monocyte_CD14:ENSG00000133460 +22,37183763,Monocyte_CD14:ENSG00000133466 +22,44173460,Monocyte_CD14:ENSG00000138964 +22,44181280,Monocyte_CD14:ENSG00000138964 +22,44210962,Monocyte_CD14:ENSG00000138964 +22,21629025,Monocyte_CD14:ENSG00000161179 +22,30667817,Monocyte_CD14:ENSG00000167065 +22,41544367,Monocyte_CD14:ENSG00000167074 +22,41685599,Monocyte_CD14:ENSG00000167077 +22,27669542,Monocyte_CD14:ENSG00000169184 +22,50183544,Monocyte_CD14:ENSG00000170638 +22,50207773,Monocyte_CD14:ENSG00000170638 +22,50217680,Monocyte_CD14:ENSG00000170638 +22,16758715,Monocyte_CD14:ENSG00000172967 +22,42074585,Monocyte_CD14:ENSG00000177096 +22,17061500,Monocyte_CD14:ENSG00000177663 +22,17106769,Monocyte_CD14:ENSG00000177663 +22,17106790,Monocyte_CD14:ENSG00000177663 +22,17124307,Monocyte_CD14:ENSG00000177663 +22,50540513,Monocyte_CD14:ENSG00000177989 +22,24599701,Monocyte_CD14:ENSG00000178026 +22,38955032,Monocyte_CD14:ENSG00000179750 +22,38958737,Monocyte_CD14:ENSG00000179750 +22,27918557,Monocyte_CD14:ENSG00000180957 +22,27979687,Monocyte_CD14:ENSG00000180957 +22,46049537,Monocyte_CD14:ENSG00000182257 +22,49933258,Monocyte_CD14:ENSG00000182858 +22,42012075,Monocyte_CD14:ENSG00000183066 +22,42074585,Monocyte_CD14:ENSG00000183172 +22,21467232,Monocyte_CD14:ENSG00000183246 +22,17081023,Monocyte_CD14:ENSG00000183307 +22,17110933,Monocyte_CD14:ENSG00000183307 +22,17117218,Monocyte_CD14:ENSG00000183307 +22,17136876,Monocyte_CD14:ENSG00000183307 +22,31693632,Monocyte_CD14:ENSG00000183530 +22,20043938,Monocyte_CD14:ENSG00000183597 +22,20071309,Monocyte_CD14:ENSG00000183597 +22,18894801,Monocyte_CD14:ENSG00000183628 +22,18900600,Monocyte_CD14:ENSG00000183628 +22,38870446,Monocyte_CD14:ENSG00000183741 +22,38962032,Monocyte_CD14:ENSG00000183741 +22,29075335,Monocyte_CD14:ENSG00000183762 +22,20945653,Monocyte_CD14:ENSG00000183773 +22,20968554,Monocyte_CD14:ENSG00000183773 +22,20968672,Monocyte_CD14:ENSG00000183773 +22,41420221,Monocyte_CD14:ENSG00000183864 +22,42188557,Monocyte_CD14:ENSG00000184068 +22,29767537,Monocyte_CD14:ENSG00000184076 +22,29640280,Monocyte_CD14:ENSG00000184117 +22,49925279,Monocyte_CD14:ENSG00000184164 +22,19882323,Monocyte_CD14:ENSG00000184470 +22,18148441,Monocyte_CD14:ENSG00000184979 +22,42074585,Monocyte_CD14:ENSG00000184983 +22,42084417,Monocyte_CD14:ENSG00000184983 +22,38197121,Monocyte_CD14:ENSG00000185022 +22,20388352,Monocyte_CD14:ENSG00000185252 +22,30607082,Monocyte_CD14:ENSG00000185339 +22,30621356,Monocyte_CD14:ENSG00000185339 +22,30629811,Monocyte_CD14:ENSG00000185339 +22,30654081,Monocyte_CD14:ENSG00000185339 +22,29686121,Monocyte_CD14:ENSG00000185340 +22,21561366,Monocyte_CD14:ENSG00000185651 +22,31112259,Monocyte_CD14:ENSG00000185721 +22,19909761,Monocyte_CD14:ENSG00000185838 +22,44665267,Monocyte_CD14:ENSG00000186654 +22,44665887,Monocyte_CD14:ENSG00000186654 +22,23204392,Monocyte_CD14:ENSG00000186716 +22,23312806,Monocyte_CD14:ENSG00000186716 +22,46130036,Monocyte_CD14:ENSG00000186951 +22,46294927,Monocyte_CD14:ENSG00000186951 +22,39544257,Monocyte_CD14:ENSG00000187051 +22,49655201,Monocyte_CD14:ENSG00000188511 +22,49656820,Monocyte_CD14:ENSG00000188511 +22,49689872,Monocyte_CD14:ENSG00000188511 +22,44026166,Monocyte_CD14:ENSG00000188677 +22,44027516,Monocyte_CD14:ENSG00000188677 +22,37806392,Monocyte_CD14:ENSG00000189060 +22,37806396,Monocyte_CD14:ENSG00000189060 +22,37806635,Monocyte_CD14:ENSG00000189060 +22,23646070,Monocyte_CD14:ENSG00000189269 +22,42499617,Monocyte_CD14:ENSG00000189306 +22,42510458,Monocyte_CD14:ENSG00000189306 +22,42516130,Monocyte_CD14:ENSG00000189306 +22,42517679,Monocyte_CD14:ENSG00000189306 +22,42530305,Monocyte_CD14:ENSG00000189306 +22,42542743,Monocyte_CD14:ENSG00000189306 +22,42552989,Monocyte_CD14:ENSG00000189306 +22,42568153,Monocyte_CD14:ENSG00000189306 +22,42617280,Monocyte_CD14:ENSG00000189306 +22,40860798,Monocyte_CD14:ENSG00000196236 +22,41438208,Monocyte_CD14:ENSG00000196419 +22,50277544,Monocyte_CD14:ENSG00000196576 +22,50309078,Monocyte_CD14:ENSG00000196576 +22,50364213,Monocyte_CD14:ENSG00000196576 +22,40554777,Monocyte_CD14:ENSG00000196588 +22,46110529,Monocyte_CD14:ENSG00000197182 +22,31483479,Monocyte_CD14:ENSG00000198089 +22,49976554,Monocyte_CD14:ENSG00000198355 +22,38181508,Monocyte_CD14:ENSG00000198792 +22,31087469,Monocyte_CD14:ENSG00000198832 +22,41998608,Monocyte_CD14:ENSG00000198951 +22,50583170,Monocyte_CD14:ENSG00000205559 +22,50570496,Monocyte_CD14:ENSG00000205560 +22,50583170,Monocyte_CD14:ENSG00000205560 +22,50310812,Monocyte_CD14:ENSG00000205593 +22,50314276,Monocyte_CD14:ENSG00000205593 +22,50364213,Monocyte_CD14:ENSG00000205593 +22,46242401,Monocyte_CD14:ENSG00000205643 +22,32356698,Monocyte_CD14:ENSG00000205853 +22,26649540,Monocyte_CD14:ENSG00000206028 +22,49655201,Monocyte_CD14:ENSG00000212939 +22,49656820,Monocyte_CD14:ENSG00000212939 +22,49655201,Monocyte_CD14:ENSG00000213279 +22,49656820,Monocyte_CD14:ENSG00000213279 +22,38324110,Monocyte_CD14:ENSG00000213923 +22,19862893,Monocyte_CD14:ENSG00000215012 +22,50562842,Monocyte_CD14:ENSG00000217442 +22,23924767,Monocyte_CD14:ENSG00000218537 +22,35675536,Monocyte_CD14:ENSG00000221963 +22,36472093,Monocyte_CD14:ENSG00000221963 +22,26779033,Monocyte_CD14:ENSG00000223704 +22,21926809,Monocyte_CD14:ENSG00000224086 +22,21937564,Monocyte_CD14:ENSG00000224086 +22,29475746,Monocyte_CD14:ENSG00000225465 +22,26673944,Monocyte_CD14:ENSG00000225783 +22,45131964,Monocyte_CD14:ENSG00000226328 +22,45163860,Monocyte_CD14:ENSG00000226328 +22,45174233,Monocyte_CD14:ENSG00000226328 +22,28772767,Monocyte_CD14:ENSG00000226471 +22,40349177,Monocyte_CD14:ENSG00000229999 +22,20999328,Monocyte_CD14:ENSG00000230513 +22,21002636,Monocyte_CD14:ENSG00000230513 +22,46041476,Monocyte_CD14:ENSG00000231711 +22,22302334,Monocyte_CD14:ENSG00000234630 +22,49650147,Monocyte_CD14:ENSG00000235111 +22,49656820,Monocyte_CD14:ENSG00000235111 +22,17120087,Monocyte_CD14:ENSG00000235478 +22,42346932,Monocyte_CD14:ENSG00000235568 +22,42369362,Monocyte_CD14:ENSG00000235568 +22,20357308,Monocyte_CD14:ENSG00000235578 +22,27920185,Monocyte_CD14:ENSG00000235954 +22,42074585,Monocyte_CD14:ENSG00000237037 +22,20965727,Monocyte_CD14:ENSG00000237476 +22,20968554,Monocyte_CD14:ENSG00000237476 +22,30381899,Monocyte_CD14:ENSG00000239282 +22,39070198,Monocyte_CD14:ENSG00000239713 +22,23894451,Monocyte_CD14:ENSG00000240972 +22,23895034,Monocyte_CD14:ENSG00000240972 +22,23914067,Monocyte_CD14:ENSG00000240972 +22,23924767,Monocyte_CD14:ENSG00000240972 +22,37675036,Monocyte_CD14:ENSG00000241360 +22,31181864,Monocyte_CD14:ENSG00000241878 +22,31777427,Monocyte_CD14:ENSG00000241878 +22,20868066,Monocyte_CD14:ENSG00000241973 +22,46057832,Monocyte_CD14:ENSG00000241990 +22,32203729,Monocyte_CD14:ENSG00000242082 +22,42860160,Monocyte_CD14:ENSG00000242247 +22,17970337,Monocyte_CD14:ENSG00000243156 +22,17991936,Monocyte_CD14:ENSG00000243156 +22,39024596,Monocyte_CD14:ENSG00000243811 +22,39014495,Monocyte_CD14:ENSG00000244509 +22,39070198,Monocyte_CD14:ENSG00000244509 +22,26690005,Monocyte_CD14:ENSG00000244625 +22,26721727,Monocyte_CD14:ENSG00000244625 +22,25459662,Monocyte_CD14:ENSG00000244752 +22,25667007,Monocyte_CD14:ENSG00000244752 +22,42644076,Monocyte_CD14:ENSG00000249222 +22,23767788,Monocyte_CD14:ENSG00000250479 +22,23813922,Monocyte_CD14:ENSG00000250479 +22,46762282,Monocyte_CD14:ENSG00000260708 +22,17773177,Monocyte_CD14:ENSG00000269220 +22,17780723,Monocyte_CD14:ENSG00000269220 +22,42639787,Monocyte_CD14:ENSG00000270022 +22,42084417,Monocyte_CD14:ENSG00000270083 +22,50542556,Monocyte_CD14:ENSG00000272666 +22,23924767,Monocyte_CD14:ENSG00000272787 +22,20968554,Monocyte_CD14:ENSG00000272829 +22,25459662,Monocyte_CD14:ENSG00000272977 +22,50200073,Monocyte_CD14:ENSG00000273253 +22,50540513,Monocyte_CD14:ENSG00000273272 +22,50543843,Monocyte_CD14:ENSG00000273272 +22,23924767,Monocyte_CD14:ENSG00000273295 +22,19021011,Monocyte_CD14:ENSG00000273311 +22,45131964,Monocyte_CD14:ENSG00000273353 +22,22259554,Monocyte_CD14:ENSG00000274422 +22,22302334,Monocyte_CD14:ENSG00000274422 +22,18893956,Monocyte_CD14:ENSG00000278558 +22,49951432,Monocyte_CD14:ENSG00000278869 +22,29969791,Monocyte_CD14:ENSG00000279159 +22,44025683,Monocyte_CD14:ENSG00000279175 +22,22282659,Monocyte_CD14:ENSG00000279278 +22,24392729,Monocyte_CD14:ENSG00000279298 +22,49925279,Monocyte_CD14:ENSG00000279345 +22,15387612,Monocyte_CD14:ENSG00000279442 +22,18148441,Monocyte_CD14:ENSG00000280007 +22,44025683,Monocyte_CD14:ENSG00000280434 +22,16607971,Monocyte_CD14:ENSG00000283633 +22,16610311,Monocyte_CD14:ENSG00000283633 +22,16738360,Monocyte_CD14:ENSG00000283633 +22,16753607,Monocyte_CD14:ENSG00000283633 +22,50525724,Monocyte_CD14:ENSG00000284194 +22,50540513,Monocyte_CD14:ENSG00000284194 +22,50562842,Monocyte_CD14:ENSG00000284194 +22,49052447,Monocyte_CD14:ENSG00000286381 +22,20363296,Monocyte_CD14:ENSG00000287446 +22,31401819,Monocyte_CD14:ENSG00000287817 +10,45382451,Monocyte_CD14:ENSG00000012779 +10,45391508,Monocyte_CD14:ENSG00000012779 +10,45418839,Monocyte_CD14:ENSG00000012779 +10,45421928,Monocyte_CD14:ENSG00000012779 +10,45471078,Monocyte_CD14:ENSG00000012779 +10,45596877,Monocyte_CD14:ENSG00000012779 +10,45640523,Monocyte_CD14:ENSG00000012779 +10,99669836,Monocyte_CD14:ENSG00000014919 +10,207591,Monocyte_CD14:ENSG00000015171 +10,124982814,Monocyte_CD14:ENSG00000019995 +10,112368619,Monocyte_CD14:ENSG00000023041 +10,16943767,Monocyte_CD14:ENSG00000026025 +10,16959813,Monocyte_CD14:ENSG00000026025 +10,17213096,Monocyte_CD14:ENSG00000026025 +10,17229207,Monocyte_CD14:ENSG00000026025 +10,17230623,Monocyte_CD14:ENSG00000026025 +10,88990843,Monocyte_CD14:ENSG00000026103 +10,88994001,Monocyte_CD14:ENSG00000026103 +10,73976046,Monocyte_CD14:ENSG00000035403 +10,73991981,Monocyte_CD14:ENSG00000035403 +10,73992731,Monocyte_CD14:ENSG00000035403 +10,74153275,Monocyte_CD14:ENSG00000035403 +10,70233350,Monocyte_CD14:ENSG00000042286 +10,114028352,Monocyte_CD14:ENSG00000043591 +10,114032303,Monocyte_CD14:ENSG00000043591 +10,11156718,Monocyte_CD14:ENSG00000048740 +10,97353029,Monocyte_CD14:ENSG00000052749 +10,100985305,Monocyte_CD14:ENSG00000055950 +10,5757323,Monocyte_CD14:ENSG00000057608 +10,5813440,Monocyte_CD14:ENSG00000057608 +10,5861754,Monocyte_CD14:ENSG00000057608 +10,124400066,Monocyte_CD14:ENSG00000065154 +10,124418786,Monocyte_CD14:ENSG00000065154 +10,12173181,Monocyte_CD14:ENSG00000065665 +10,14558193,Monocyte_CD14:ENSG00000065809 +10,14619258,Monocyte_CD14:ENSG00000065809 +10,14658279,Monocyte_CD14:ENSG00000065809 +10,14659895,Monocyte_CD14:ENSG00000065809 +10,14696028,Monocyte_CD14:ENSG00000065809 +10,3095817,Monocyte_CD14:ENSG00000067057 +10,3136622,Monocyte_CD14:ENSG00000067057 +10,3777922,Monocyte_CD14:ENSG00000067082 +10,132602387,Monocyte_CD14:ENSG00000068383 +10,58384279,Monocyte_CD14:ENSG00000072401 +10,58384447,Monocyte_CD14:ENSG00000072401 +10,69407483,Monocyte_CD14:ENSG00000075073 +10,38153493,Monocyte_CD14:ENSG00000075407 +10,38513344,Monocyte_CD14:ENSG00000075407 +10,100466976,Monocyte_CD14:ENSG00000075826 +10,102882383,Monocyte_CD14:ENSG00000076685 +10,96510939,Monocyte_CD14:ENSG00000077147 +10,102364848,Monocyte_CD14:ENSG00000077150 +10,26351997,Monocyte_CD14:ENSG00000077420 +10,26438461,Monocyte_CD14:ENSG00000077420 +10,21212385,Monocyte_CD14:ENSG00000078114 +10,21212385,Monocyte_CD14:ENSG00000078403 +10,21695031,Monocyte_CD14:ENSG00000078403 +10,70233350,Monocyte_CD14:ENSG00000079332 +10,125879691,Monocyte_CD14:ENSG00000089876 +10,100279430,Monocyte_CD14:ENSG00000095485 +10,96947432,Monocyte_CD14:ENSG00000095587 +10,28401152,Monocyte_CD14:ENSG00000095787 +10,28595420,Monocyte_CD14:ENSG00000095787 +10,67866741,Monocyte_CD14:ENSG00000096717 +10,99666361,Monocyte_CD14:ENSG00000099194 +10,27444055,Monocyte_CD14:ENSG00000099246 +10,33334767,Monocyte_CD14:ENSG00000099250 +10,33406891,Monocyte_CD14:ENSG00000099250 +10,33417487,Monocyte_CD14:ENSG00000099250 +10,33871716,Monocyte_CD14:ENSG00000099250 +10,33878073,Monocyte_CD14:ENSG00000099250 +10,70152930,Monocyte_CD14:ENSG00000099284 +10,49744360,Monocyte_CD14:ENSG00000099290 +10,50073040,Monocyte_CD14:ENSG00000099290 +10,50143970,Monocyte_CD14:ENSG00000099290 +10,95291326,Monocyte_CD14:ENSG00000107438 +10,95295146,Monocyte_CD14:ENSG00000107438 +10,95429286,Monocyte_CD14:ENSG00000107438 +10,96084789,Monocyte_CD14:ENSG00000107443 +10,98417112,Monocyte_CD14:ENSG00000107521 +10,98433922,Monocyte_CD14:ENSG00000107521 +10,98436129,Monocyte_CD14:ENSG00000107521 +10,98442021,Monocyte_CD14:ENSG00000107521 +10,13115659,Monocyte_CD14:ENSG00000107537 +10,13118035,Monocyte_CD14:ENSG00000107537 +10,13299185,Monocyte_CD14:ENSG00000107537 +10,44936612,Monocyte_CD14:ENSG00000107551 +10,44966771,Monocyte_CD14:ENSG00000107551 +10,44971511,Monocyte_CD14:ENSG00000107551 +10,44984361,Monocyte_CD14:ENSG00000107551 +10,99975197,Monocyte_CD14:ENSG00000107554 +10,100009981,Monocyte_CD14:ENSG00000107554 +10,100175179,Monocyte_CD14:ENSG00000107566 +10,119137967,Monocyte_CD14:ENSG00000107581 +10,100290485,Monocyte_CD14:ENSG00000107593 +10,17202049,Monocyte_CD14:ENSG00000107611 +10,17201047,Monocyte_CD14:ENSG00000107614 +10,17201639,Monocyte_CD14:ENSG00000107614 +10,17243290,Monocyte_CD14:ENSG00000107614 +10,48349270,Monocyte_CD14:ENSG00000107643 +10,121927941,Monocyte_CD14:ENSG00000107669 +10,121967433,Monocyte_CD14:ENSG00000107669 +10,122424216,Monocyte_CD14:ENSG00000107679 +10,122436179,Monocyte_CD14:ENSG00000107679 +10,122560501,Monocyte_CD14:ENSG00000107679 +10,71235645,Monocyte_CD14:ENSG00000107731 +10,71695522,Monocyte_CD14:ENSG00000107736 +10,71755005,Monocyte_CD14:ENSG00000107738 +10,71762949,Monocyte_CD14:ENSG00000107738 +10,72406091,Monocyte_CD14:ENSG00000107745 +10,84306347,Monocyte_CD14:ENSG00000107771 +10,88982251,Monocyte_CD14:ENSG00000107796 +10,88994001,Monocyte_CD14:ENSG00000107796 +10,89242785,Monocyte_CD14:ENSG00000107798 +10,89243170,Monocyte_CD14:ENSG00000107798 +10,89254304,Monocyte_CD14:ENSG00000107798 +10,101032154,Monocyte_CD14:ENSG00000107819 +10,101035974,Monocyte_CD14:ENSG00000107819 +10,101037108,Monocyte_CD14:ENSG00000107819 +10,101988576,Monocyte_CD14:ENSG00000107833 +10,91609223,Monocyte_CD14:ENSG00000107854 +10,91860119,Monocyte_CD14:ENSG00000107854 +10,92152319,Monocyte_CD14:ENSG00000107864 +10,102178582,Monocyte_CD14:ENSG00000107872 +10,102607060,Monocyte_CD14:ENSG00000107882 +10,27103357,Monocyte_CD14:ENSG00000107890 +10,27103357,Monocyte_CD14:ENSG00000107897 +10,124461733,Monocyte_CD14:ENSG00000107902 +10,124463110,Monocyte_CD14:ENSG00000107902 +10,124474595,Monocyte_CD14:ENSG00000107902 +10,124483043,Monocyte_CD14:ENSG00000107902 +10,124496882,Monocyte_CD14:ENSG00000107902 +10,975539,Monocyte_CD14:ENSG00000107937 +10,30325345,Monocyte_CD14:ENSG00000107951 +10,103699358,Monocyte_CD14:ENSG00000107957 +10,103875137,Monocyte_CD14:ENSG00000107957 +10,3127611,Monocyte_CD14:ENSG00000107959 +10,3151220,Monocyte_CD14:ENSG00000107959 +10,30438155,Monocyte_CD14:ENSG00000107968 +10,30491392,Monocyte_CD14:ENSG00000107968 +10,30501432,Monocyte_CD14:ENSG00000107968 +10,30529714,Monocyte_CD14:ENSG00000107968 +10,109578216,Monocyte_CD14:ENSG00000108039 +10,58381788,Monocyte_CD14:ENSG00000108064 +10,58384279,Monocyte_CD14:ENSG00000108064 +10,58384447,Monocyte_CD14:ENSG00000108064 +10,59885922,Monocyte_CD14:ENSG00000108091 +10,59982069,Monocyte_CD14:ENSG00000108091 +10,60032966,Monocyte_CD14:ENSG00000108091 +10,60033688,Monocyte_CD14:ENSG00000108091 +10,35224395,Monocyte_CD14:ENSG00000108094 +10,35331531,Monocyte_CD14:ENSG00000108100 +10,79359828,Monocyte_CD14:ENSG00000108179 +10,68284945,Monocyte_CD14:ENSG00000108187 +10,80503070,Monocyte_CD14:ENSG00000108219 +10,80509705,Monocyte_CD14:ENSG00000108219 +10,94367691,Monocyte_CD14:ENSG00000108239 +10,94562647,Monocyte_CD14:ENSG00000108239 +10,100913306,Monocyte_CD14:ENSG00000119906 +10,89304335,Monocyte_CD14:ENSG00000119917 +10,89243170,Monocyte_CD14:ENSG00000119922 +10,98408244,Monocyte_CD14:ENSG00000119943 +10,110200700,Monocyte_CD14:ENSG00000119950 +10,110277217,Monocyte_CD14:ENSG00000119950 +10,94562647,Monocyte_CD14:ENSG00000119969 +10,95883592,Monocyte_CD14:ENSG00000119977 +10,119013767,Monocyte_CD14:ENSG00000119979 +10,119104900,Monocyte_CD14:ENSG00000119979 +10,119137967,Monocyte_CD14:ENSG00000119979 +10,97700782,Monocyte_CD14:ENSG00000119986 +10,120847817,Monocyte_CD14:ENSG00000120008 +10,120861542,Monocyte_CD14:ENSG00000120008 +10,120862151,Monocyte_CD14:ENSG00000120008 +10,102251008,Monocyte_CD14:ENSG00000120029 +10,99430750,Monocyte_CD14:ENSG00000120053 +10,27184972,Monocyte_CD14:ENSG00000120539 +10,19816920,Monocyte_CD14:ENSG00000120594 +10,20113508,Monocyte_CD14:ENSG00000120594 +10,20237029,Monocyte_CD14:ENSG00000120594 +10,32302581,Monocyte_CD14:ENSG00000120616 +10,80146513,Monocyte_CD14:ENSG00000122359 +10,80173831,Monocyte_CD14:ENSG00000122359 +10,80248015,Monocyte_CD14:ENSG00000122359 +10,87130406,Monocyte_CD14:ENSG00000122376 +10,87191170,Monocyte_CD14:ENSG00000122376 +10,80388569,Monocyte_CD14:ENSG00000122378 +10,69035290,Monocyte_CD14:ENSG00000122862 +10,69054344,Monocyte_CD14:ENSG00000122862 +10,69074475,Monocyte_CD14:ENSG00000122862 +10,69202811,Monocyte_CD14:ENSG00000122862 +10,69209851,Monocyte_CD14:ENSG00000122862 +10,58595101,Monocyte_CD14:ENSG00000122870 +10,58204381,Monocyte_CD14:ENSG00000122873 +10,58384447,Monocyte_CD14:ENSG00000122873 +10,73284740,Monocyte_CD14:ENSG00000122884 +10,68488958,Monocyte_CD14:ENSG00000122912 +10,56276291,Monocyte_CD14:ENSG00000122952 +10,69143000,Monocyte_CD14:ENSG00000122958 +10,69170443,Monocyte_CD14:ENSG00000122958 +10,13115659,Monocyte_CD14:ENSG00000123240 +10,13118035,Monocyte_CD14:ENSG00000123240 +10,133373302,Monocyte_CD14:ENSG00000127884 +10,48505719,Monocyte_CD14:ENSG00000128805 +10,48559324,Monocyte_CD14:ENSG00000128805 +10,48559324,Monocyte_CD14:ENSG00000128805 +10,48576866,Monocyte_CD14:ENSG00000128805 +10,48559324,Monocyte_CD14:ENSG00000128815 +10,48651540,Monocyte_CD14:ENSG00000128815 +10,48653116,Monocyte_CD14:ENSG00000128815 +10,133239191,Monocyte_CD14:ENSG00000130640 +10,133271922,Monocyte_CD14:ENSG00000130640 +10,133329392,Monocyte_CD14:ENSG00000130640 +10,128067199,Monocyte_CD14:ENSG00000132334 +10,79937095,Monocyte_CD14:ENSG00000133661 +10,80048110,Monocyte_CD14:ENSG00000133678 +10,80078900,Monocyte_CD14:ENSG00000133678 +10,5909600,Monocyte_CD14:ENSG00000134452 +10,6092904,Monocyte_CD14:ENSG00000134453 +10,6094168,Monocyte_CD14:ENSG00000134453 +10,11739968,Monocyte_CD14:ENSG00000134463 +10,5943784,Monocyte_CD14:ENSG00000134470 +10,5945962,Monocyte_CD14:ENSG00000134470 +10,5977285,Monocyte_CD14:ENSG00000134470 +10,26704061,Monocyte_CD14:ENSG00000136754 +10,27184972,Monocyte_CD14:ENSG00000136758 +10,22131729,Monocyte_CD14:ENSG00000136770 +10,102470399,Monocyte_CD14:ENSG00000138107 +10,102468076,Monocyte_CD14:ENSG00000138111 +10,102469616,Monocyte_CD14:ENSG00000138111 +10,102470399,Monocyte_CD14:ENSG00000138111 +10,93323282,Monocyte_CD14:ENSG00000138119 +10,93434033,Monocyte_CD14:ENSG00000138119 +10,93441815,Monocyte_CD14:ENSG00000138119 +10,93481088,Monocyte_CD14:ENSG00000138119 +10,93515133,Monocyte_CD14:ENSG00000138119 +10,93516279,Monocyte_CD14:ENSG00000138119 +10,87800621,Monocyte_CD14:ENSG00000138138 +10,110420718,Monocyte_CD14:ENSG00000138166 +10,103373623,Monocyte_CD14:ENSG00000138172 +10,103434719,Monocyte_CD14:ENSG00000138172 +10,103449599,Monocyte_CD14:ENSG00000138172 +10,103464955,Monocyte_CD14:ENSG00000138172 +10,103471557,Monocyte_CD14:ENSG00000138172 +10,102714289,Monocyte_CD14:ENSG00000138175 +10,89698050,Monocyte_CD14:ENSG00000138182 +10,95755766,Monocyte_CD14:ENSG00000138185 +10,95778476,Monocyte_CD14:ENSG00000138185 +10,95883592,Monocyte_CD14:ENSG00000138185 +10,93516137,Monocyte_CD14:ENSG00000138207 +10,73591000,Monocyte_CD14:ENSG00000138279 +10,73120954,Monocyte_CD14:ENSG00000138286 +10,72215897,Monocyte_CD14:ENSG00000138303 +10,78032150,Monocyte_CD14:ENSG00000138326 +10,78033866,Monocyte_CD14:ENSG00000138326 +10,78120426,Monocyte_CD14:ENSG00000138326 +10,68509595,Monocyte_CD14:ENSG00000138346 +10,11850431,Monocyte_CD14:ENSG00000148426 +10,11462688,Monocyte_CD14:ENSG00000148429 +10,23236174,Monocyte_CD14:ENSG00000148444 +10,23072185,Monocyte_CD14:ENSG00000148450 +10,23095858,Monocyte_CD14:ENSG00000148450 +10,26684954,Monocyte_CD14:ENSG00000148459 +10,15865453,Monocyte_CD14:ENSG00000148481 +10,16726278,Monocyte_CD14:ENSG00000148484 +10,16817401,Monocyte_CD14:ENSG00000148484 +10,16976501,Monocyte_CD14:ENSG00000148484 +10,63128413,Monocyte_CD14:ENSG00000148572 +10,63266433,Monocyte_CD14:ENSG00000148572 +10,63356028,Monocyte_CD14:ENSG00000148572 +10,63433582,Monocyte_CD14:ENSG00000148572 +10,75431683,Monocyte_CD14:ENSG00000148655 +10,75573984,Monocyte_CD14:ENSG00000148655 +10,73802158,Monocyte_CD14:ENSG00000148660 +10,87025116,Monocyte_CD14:ENSG00000148672 +10,90599343,Monocyte_CD14:ENSG00000148688 +10,90876308,Monocyte_CD14:ENSG00000148688 +10,93680529,Monocyte_CD14:ENSG00000148690 +10,93700616,Monocyte_CD14:ENSG00000148690 +10,93714844,Monocyte_CD14:ENSG00000148690 +10,93727966,Monocyte_CD14:ENSG00000148690 +10,110090106,Monocyte_CD14:ENSG00000148700 +10,72406091,Monocyte_CD14:ENSG00000148719 +10,70361432,Monocyte_CD14:ENSG00000148730 +10,70406960,Monocyte_CD14:ENSG00000148730 +10,112951996,Monocyte_CD14:ENSG00000148737 +10,133259089,Monocyte_CD14:ENSG00000148803 +10,133329392,Monocyte_CD14:ENSG00000148803 +10,133346625,Monocyte_CD14:ENSG00000148803 +10,133372872,Monocyte_CD14:ENSG00000148803 +10,133389373,Monocyte_CD14:ENSG00000148803 +10,132373268,Monocyte_CD14:ENSG00000148814 +10,133412162,Monocyte_CD14:ENSG00000148824 +10,133392850,Monocyte_CD14:ENSG00000148832 +10,104255006,Monocyte_CD14:ENSG00000148834 +10,104256718,Monocyte_CD14:ENSG00000148834 +10,104267428,Monocyte_CD14:ENSG00000148834 +10,104319434,Monocyte_CD14:ENSG00000148834 +10,119492099,Monocyte_CD14:ENSG00000148908 +10,119538966,Monocyte_CD14:ENSG00000148908 +10,28338988,Monocyte_CD14:ENSG00000150054 +10,28342271,Monocyte_CD14:ENSG00000150054 +10,28401152,Monocyte_CD14:ENSG00000150054 +10,32660470,Monocyte_CD14:ENSG00000150093 +10,32959128,Monocyte_CD14:ENSG00000150093 +10,110870153,Monocyte_CD14:ENSG00000150593 +10,111013304,Monocyte_CD14:ENSG00000150593 +10,22550534,Monocyte_CD14:ENSG00000150867 +10,58384447,Monocyte_CD14:ENSG00000151151 +10,58481718,Monocyte_CD14:ENSG00000151151 +10,77944636,Monocyte_CD14:ENSG00000151208 +10,12158407,Monocyte_CD14:ENSG00000151461 +10,12173181,Monocyte_CD14:ENSG00000151465 +10,12250226,Monocyte_CD14:ENSG00000151465 +10,114846414,Monocyte_CD14:ENSG00000151553 +10,5000102,Monocyte_CD14:ENSG00000151632 +10,133013692,Monocyte_CD14:ENSG00000151650 +10,133247132,Monocyte_CD14:ENSG00000151650 +10,133250148,Monocyte_CD14:ENSG00000151650 +10,133013692,Monocyte_CD14:ENSG00000151651 +10,133264727,Monocyte_CD14:ENSG00000151651 +10,133271922,Monocyte_CD14:ENSG00000151651 +10,133278298,Monocyte_CD14:ENSG00000151651 +10,7770950,Monocyte_CD14:ENSG00000151657 +10,118562962,Monocyte_CD14:ENSG00000151893 +10,118675857,Monocyte_CD14:ENSG00000151893 +10,118753327,Monocyte_CD14:ENSG00000151893 +10,119612816,Monocyte_CD14:ENSG00000151929 +10,119837648,Monocyte_CD14:ENSG00000151929 +10,14975834,Monocyte_CD14:ENSG00000152457 +10,89401598,Monocyte_CD14:ENSG00000152778 +10,89815661,Monocyte_CD14:ENSG00000152782 +10,92690476,Monocyte_CD14:ENSG00000152804 +10,97714727,Monocyte_CD14:ENSG00000155254 +10,97721261,Monocyte_CD14:ENSG00000155254 +10,99706336,Monocyte_CD14:ENSG00000155287 +10,96660487,Monocyte_CD14:ENSG00000155629 +10,72473865,Monocyte_CD14:ENSG00000156042 +10,74169175,Monocyte_CD14:ENSG00000156110 +10,74169759,Monocyte_CD14:ENSG00000156110 +10,77257306,Monocyte_CD14:ENSG00000156113 +10,77562344,Monocyte_CD14:ENSG00000156113 +10,103348340,Monocyte_CD14:ENSG00000156374 +10,69359452,Monocyte_CD14:ENSG00000156515 +10,69384972,Monocyte_CD14:ENSG00000156515 +10,74169175,Monocyte_CD14:ENSG00000156650 +10,23494522,Monocyte_CD14:ENSG00000165312 +10,31955890,Monocyte_CD14:ENSG00000165322 +10,91443496,Monocyte_CD14:ENSG00000165338 +10,45446623,Monocyte_CD14:ENSG00000165406 +10,79407136,Monocyte_CD14:ENSG00000165424 +10,79428379,Monocyte_CD14:ENSG00000165424 +10,45016901,Monocyte_CD14:ENSG00000165512 +10,45064509,Monocyte_CD14:ENSG00000165512 +10,12158407,Monocyte_CD14:ENSG00000165609 +10,7827323,Monocyte_CD14:ENSG00000165629 +10,75077419,Monocyte_CD14:ENSG00000165637 +10,117382358,Monocyte_CD14:ENSG00000165650 +10,75338356,Monocyte_CD14:ENSG00000165655 +10,75359307,Monocyte_CD14:ENSG00000165655 +10,75412109,Monocyte_CD14:ENSG00000165655 +10,75424221,Monocyte_CD14:ENSG00000165655 +10,75437412,Monocyte_CD14:ENSG00000165655 +10,75573984,Monocyte_CD14:ENSG00000165655 +10,118562962,Monocyte_CD14:ENSG00000165669 +10,119173129,Monocyte_CD14:ENSG00000165672 +10,119230341,Monocyte_CD14:ENSG00000165672 +10,84140023,Monocyte_CD14:ENSG00000165678 +10,68827443,Monocyte_CD14:ENSG00000165730 +10,132229760,Monocyte_CD14:ENSG00000165752 +10,132235459,Monocyte_CD14:ENSG00000165752 +10,132255627,Monocyte_CD14:ENSG00000165752 +10,132330501,Monocyte_CD14:ENSG00000165752 +10,132330512,Monocyte_CD14:ENSG00000165752 +10,113678707,Monocyte_CD14:ENSG00000165806 +10,113679881,Monocyte_CD14:ENSG00000165806 +10,113694230,Monocyte_CD14:ENSG00000165806 +10,114227791,Monocyte_CD14:ENSG00000165813 +10,114236914,Monocyte_CD14:ENSG00000165813 +10,97353029,Monocyte_CD14:ENSG00000165879 +10,16444465,Monocyte_CD14:ENSG00000165983 +10,16512724,Monocyte_CD14:ENSG00000165983 +10,18629553,Monocyte_CD14:ENSG00000165997 +10,122466976,Monocyte_CD14:ENSG00000166033 +10,122560501,Monocyte_CD14:ENSG00000166033 +10,100440988,Monocyte_CD14:ENSG00000166135 +10,101341034,Monocyte_CD14:ENSG00000166169 +10,101719305,Monocyte_CD14:ENSG00000166171 +10,101874308,Monocyte_CD14:ENSG00000166189 +10,102092295,Monocyte_CD14:ENSG00000166197 +10,70855025,Monocyte_CD14:ENSG00000166224 +10,70888327,Monocyte_CD14:ENSG00000166228 +10,70888586,Monocyte_CD14:ENSG00000166228 +10,70888907,Monocyte_CD14:ENSG00000166228 +10,102812324,Monocyte_CD14:ENSG00000166272 +10,102863196,Monocyte_CD14:ENSG00000166275 +10,102863296,Monocyte_CD14:ENSG00000166275 +10,72215373,Monocyte_CD14:ENSG00000166295 +10,73625283,Monocyte_CD14:ENSG00000166321 +10,73802158,Monocyte_CD14:ENSG00000166507 +10,43521922,Monocyte_CD14:ENSG00000169740 +10,43648766,Monocyte_CD14:ENSG00000169740 +10,43448241,Monocyte_CD14:ENSG00000169813 +10,43126920,Monocyte_CD14:ENSG00000169826 +10,47350119,Monocyte_CD14:ENSG00000170324 +10,129467281,Monocyte_CD14:ENSG00000170430 +10,129567045,Monocyte_CD14:ENSG00000170430 +10,129632876,Monocyte_CD14:ENSG00000170430 +10,129646215,Monocyte_CD14:ENSG00000170430 +10,129647467,Monocyte_CD14:ENSG00000170430 +10,5989391,Monocyte_CD14:ENSG00000170525 +10,32011929,Monocyte_CD14:ENSG00000170759 +10,97194033,Monocyte_CD14:ENSG00000171314 +10,97427222,Monocyte_CD14:ENSG00000171314 +10,97430057,Monocyte_CD14:ENSG00000171314 +10,97457732,Monocyte_CD14:ENSG00000171314 +10,97549193,Monocyte_CD14:ENSG00000171314 +10,133762463,Monocyte_CD14:ENSG00000171772 +10,133013692,Monocyte_CD14:ENSG00000171794 +10,133185696,Monocyte_CD14:ENSG00000171794 +10,133248300,Monocyte_CD14:ENSG00000171794 +10,133271922,Monocyte_CD14:ENSG00000171794 +10,133133642,Monocyte_CD14:ENSG00000171798 +10,133174357,Monocyte_CD14:ENSG00000171798 +10,133185696,Monocyte_CD14:ENSG00000171798 +10,133007373,Monocyte_CD14:ENSG00000171811 +10,88101509,Monocyte_CD14:ENSG00000171862 +10,45536913,Monocyte_CD14:ENSG00000172661 +10,45549409,Monocyte_CD14:ENSG00000172661 +10,45549706,Monocyte_CD14:ENSG00000172661 +10,45598410,Monocyte_CD14:ENSG00000172661 +10,45667847,Monocyte_CD14:ENSG00000172661 +10,45627346,Monocyte_CD14:ENSG00000172671 +10,45677881,Monocyte_CD14:ENSG00000172671 +10,70302245,Monocyte_CD14:ENSG00000172731 +10,70364706,Monocyte_CD14:ENSG00000172731 +10,94365892,Monocyte_CD14:ENSG00000173145 +10,94367691,Monocyte_CD14:ENSG00000173145 +10,5440327,Monocyte_CD14:ENSG00000173848 +10,5603101,Monocyte_CD14:ENSG00000173848 +10,103402021,Monocyte_CD14:ENSG00000173915 +10,125161466,Monocyte_CD14:ENSG00000175029 +10,38049743,Monocyte_CD14:ENSG00000175395 +10,131946470,Monocyte_CD14:ENSG00000176171 +10,131971382,Monocyte_CD14:ENSG00000176171 +10,131977530,Monocyte_CD14:ENSG00000176171 +10,93835721,Monocyte_CD14:ENSG00000176273 +10,93851594,Monocyte_CD14:ENSG00000176273 +10,51765313,Monocyte_CD14:ENSG00000177613 +10,132447080,Monocyte_CD14:ENSG00000180066 +10,70215937,Monocyte_CD14:ENSG00000180817 +10,70233350,Monocyte_CD14:ENSG00000180817 +10,70233402,Monocyte_CD14:ENSG00000180817 +10,70279162,Monocyte_CD14:ENSG00000180817 +10,70302727,Monocyte_CD14:ENSG00000180817 +10,70352234,Monocyte_CD14:ENSG00000180817 +10,70355573,Monocyte_CD14:ENSG00000180817 +10,12063324,Monocyte_CD14:ENSG00000181192 +10,12173181,Monocyte_CD14:ENSG00000181192 +10,97353029,Monocyte_CD14:ENSG00000181274 +10,124002458,Monocyte_CD14:ENSG00000182022 +10,73040475,Monocyte_CD14:ENSG00000182180 +10,12158407,Monocyte_CD14:ENSG00000183049 +10,12263980,Monocyte_CD14:ENSG00000183049 +10,12265895,Monocyte_CD14:ENSG00000183049 +10,12266435,Monocyte_CD14:ENSG00000183049 +10,119161076,Monocyte_CD14:ENSG00000183605 +10,31082051,Monocyte_CD14:ENSG00000183621 +10,88686478,Monocyte_CD14:ENSG00000184719 +10,74169175,Monocyte_CD14:ENSG00000185009 +10,89377854,Monocyte_CD14:ENSG00000185745 +10,103288002,Monocyte_CD14:ENSG00000185933 +10,93516137,Monocyte_CD14:ENSG00000186188 +10,93516279,Monocyte_CD14:ENSG00000186188 +10,97227765,Monocyte_CD14:ENSG00000187122 +10,5000102,Monocyte_CD14:ENSG00000187134 +10,116814254,Monocyte_CD14:ENSG00000187164 +10,116952944,Monocyte_CD14:ENSG00000187164 +10,95568470,Monocyte_CD14:ENSG00000188649 +10,95772219,Monocyte_CD14:ENSG00000188649 +10,125783601,Monocyte_CD14:ENSG00000188690 +10,124780679,Monocyte_CD14:ENSG00000189319 +10,100248441,Monocyte_CD14:ENSG00000196072 +10,123004406,Monocyte_CD14:ENSG00000196177 +10,5666651,Monocyte_CD14:ENSG00000196372 +10,5680821,Monocyte_CD14:ENSG00000196372 +10,42503542,Monocyte_CD14:ENSG00000196693 +10,42635023,Monocyte_CD14:ENSG00000196693 +10,114028352,Monocyte_CD14:ENSG00000196865 +10,73808553,Monocyte_CD14:ENSG00000196968 +10,112390102,Monocyte_CD14:ENSG00000197142 +10,29465606,Monocyte_CD14:ENSG00000197321 +10,29803757,Monocyte_CD14:ENSG00000197321 +10,71811921,Monocyte_CD14:ENSG00000197746 +10,71816666,Monocyte_CD14:ENSG00000197746 +10,71889023,Monocyte_CD14:ENSG00000197746 +10,71891073,Monocyte_CD14:ENSG00000197746 +10,119837648,Monocyte_CD14:ENSG00000197771 +10,119872091,Monocyte_CD14:ENSG00000197771 +10,99669836,Monocyte_CD14:ENSG00000198018 +10,92152319,Monocyte_CD14:ENSG00000198060 +10,71378978,Monocyte_CD14:ENSG00000198246 +10,43521922,Monocyte_CD14:ENSG00000198298 +10,101790847,Monocyte_CD14:ENSG00000198408 +10,133291948,Monocyte_CD14:ENSG00000198546 +10,87657715,Monocyte_CD14:ENSG00000198682 +10,87659352,Monocyte_CD14:ENSG00000198682 +10,87821374,Monocyte_CD14:ENSG00000198682 +10,102178582,Monocyte_CD14:ENSG00000198728 +10,119685837,Monocyte_CD14:ENSG00000198825 +10,119699575,Monocyte_CD14:ENSG00000198825 +10,119230753,Monocyte_CD14:ENSG00000198873 +10,7180495,Monocyte_CD14:ENSG00000198879 +10,7188562,Monocyte_CD14:ENSG00000198879 +10,7492500,Monocyte_CD14:ENSG00000198879 +10,43130238,Monocyte_CD14:ENSG00000198915 +10,50363267,Monocyte_CD14:ENSG00000198964 +10,124769804,Monocyte_CD14:ENSG00000203791 +10,88766035,Monocyte_CD14:ENSG00000204020 +10,49997624,Monocyte_CD14:ENSG00000204152 +10,49136457,Monocyte_CD14:ENSG00000204161 +10,46549212,Monocyte_CD14:ENSG00000204172 +10,47298618,Monocyte_CD14:ENSG00000204172 +10,47381072,Monocyte_CD14:ENSG00000204172 +10,47424075,Monocyte_CD14:ENSG00000204172 +10,21212385,Monocyte_CD14:ENSG00000204683 +10,6233182,Monocyte_CD14:ENSG00000212743 +10,6233483,Monocyte_CD14:ENSG00000212743 +10,122808525,Monocyte_CD14:ENSG00000213185 +10,97227765,Monocyte_CD14:ENSG00000213390 +10,110845346,Monocyte_CD14:ENSG00000214413 +10,102865480,Monocyte_CD14:ENSG00000214435 +10,102878723,Monocyte_CD14:ENSG00000214435 +10,6233182,Monocyte_CD14:ENSG00000215244 +10,6233535,Monocyte_CD14:ENSG00000215244 +10,32521860,Monocyte_CD14:ENSG00000216937 +10,32619771,Monocyte_CD14:ENSG00000216937 +10,32637934,Monocyte_CD14:ENSG00000216937 +10,86771615,Monocyte_CD14:ENSG00000223482 +10,86935145,Monocyte_CD14:ENSG00000223482 +10,86953069,Monocyte_CD14:ENSG00000223482 +10,87029238,Monocyte_CD14:ENSG00000223482 +10,87123542,Monocyte_CD14:ENSG00000223482 +10,87151053,Monocyte_CD14:ENSG00000223482 +10,87191645,Monocyte_CD14:ENSG00000223482 +10,87555683,Monocyte_CD14:ENSG00000223482 +10,87151053,Monocyte_CD14:ENSG00000224914 +10,87342542,Monocyte_CD14:ENSG00000224914 +10,79677288,Monocyte_CD14:ENSG00000225484 +10,79686046,Monocyte_CD14:ENSG00000225484 +10,79758006,Monocyte_CD14:ENSG00000225484 +10,79820507,Monocyte_CD14:ENSG00000225484 +10,49379242,Monocyte_CD14:ENSG00000225830 +10,97286168,Monocyte_CD14:ENSG00000225850 +10,50624517,Monocyte_CD14:ENSG00000226200 +10,80535642,Monocyte_CD14:ENSG00000226659 +10,96084789,Monocyte_CD14:ENSG00000226688 +10,124943817,Monocyte_CD14:ENSG00000226899 +10,120847817,Monocyte_CD14:ENSG00000227165 +10,50046236,Monocyte_CD14:ENSG00000227345 +10,101112490,Monocyte_CD14:ENSG00000227492 +10,65558690,Monocyte_CD14:ENSG00000228065 +10,75431683,Monocyte_CD14:ENSG00000228280 +10,91815486,Monocyte_CD14:ENSG00000228701 +10,17229207,Monocyte_CD14:ENSG00000229124 +10,17243290,Monocyte_CD14:ENSG00000229124 +10,1173911,Monocyte_CD14:ENSG00000229205 +10,32956406,Monocyte_CD14:ENSG00000229656 +10,107537020,Monocyte_CD14:ENSG00000229981 +10,80078900,Monocyte_CD14:ENSG00000230091 +10,43429978,Monocyte_CD14:ENSG00000230555 +10,46056402,Monocyte_CD14:ENSG00000231187 +10,46106237,Monocyte_CD14:ENSG00000231187 +10,46273577,Monocyte_CD14:ENSG00000231187 +10,47329404,Monocyte_CD14:ENSG00000231187 +10,21212385,Monocyte_CD14:ENSG00000231920 +10,97353029,Monocyte_CD14:ENSG00000231970 +10,89838454,Monocyte_CD14:ENSG00000232229 +10,5943662,Monocyte_CD14:ENSG00000232807 +10,5945962,Monocyte_CD14:ENSG00000232807 +10,5946256,Monocyte_CD14:ENSG00000232807 +10,112431792,Monocyte_CD14:ENSG00000232934 +10,112951996,Monocyte_CD14:ENSG00000233547 +10,26684954,Monocyte_CD14:ENSG00000235843 +10,38830913,Monocyte_CD14:ENSG00000236514 +10,75437412,Monocyte_CD14:ENSG00000237149 +10,130094959,Monocyte_CD14:ENSG00000237489 +10,31706169,Monocyte_CD14:ENSG00000237797 +10,13636192,Monocyte_CD14:ENSG00000239665 +10,18528445,Monocyte_CD14:ENSG00000240291 +10,18629553,Monocyte_CD14:ENSG00000241058 +10,28527400,Monocyte_CD14:ENSG00000254635 +10,28532515,Monocyte_CD14:ENSG00000254635 +10,28541402,Monocyte_CD14:ENSG00000254635 +10,30325345,Monocyte_CD14:ENSG00000259994 +10,17805039,Monocyte_CD14:ENSG00000260314 +10,104622600,Monocyte_CD14:ENSG00000260461 +10,17984190,Monocyte_CD14:ENSG00000260589 +10,46106237,Monocyte_CD14:ENSG00000264230 +10,47309515,Monocyte_CD14:ENSG00000265190 +10,45421928,Monocyte_CD14:ENSG00000266412 +10,45585454,Monocyte_CD14:ENSG00000266412 +10,45596877,Monocyte_CD14:ENSG00000266412 +10,45639372,Monocyte_CD14:ENSG00000266412 +10,45677881,Monocyte_CD14:ENSG00000266412 +10,45764091,Monocyte_CD14:ENSG00000266412 +10,46260681,Monocyte_CD14:ENSG00000266412 +10,46266234,Monocyte_CD14:ENSG00000266412 +10,75431683,Monocyte_CD14:ENSG00000268659 +10,102454607,Monocyte_CD14:ENSG00000269609 +10,35331531,Monocyte_CD14:ENSG00000271335 +10,79810323,Monocyte_CD14:ENSG00000272447 +10,79687236,Monocyte_CD14:ENSG00000272489 +10,100928069,Monocyte_CD14:ENSG00000272572 +10,73215355,Monocyte_CD14:ENSG00000272630 +10,86971395,Monocyte_CD14:ENSG00000272734 +10,63248413,Monocyte_CD14:ENSG00000272767 +10,102640355,Monocyte_CD14:ENSG00000272933 +10,43132326,Monocyte_CD14:ENSG00000273008 +10,43237436,Monocyte_CD14:ENSG00000273008 +10,75431683,Monocyte_CD14:ENSG00000273248 +10,120847817,Monocyte_CD14:ENSG00000274461 +10,117343537,Monocyte_CD14:ENSG00000277879 +10,89883850,Monocyte_CD14:ENSG00000280560 +10,72698027,Monocyte_CD14:ENSG00000282915 +10,28347052,Monocyte_CD14:ENSG00000282996 +10,49744360,Monocyte_CD14:ENSG00000285803 +10,12266435,Monocyte_CD14:ENSG00000285994 +10,88994001,Monocyte_CD14:ENSG00000286116 +10,32855204,Monocyte_CD14:ENSG00000286409 +10,75431683,Monocyte_CD14:ENSG00000286715 +10,87316666,Monocyte_CD14:ENSG00000287077 +10,68876960,Monocyte_CD14:ENSG00000287306 +10,31061714,Monocyte_CD14:ENSG00000287564 +10,116952944,Monocyte_CD14:ENSG00000287655 +10,16444465,Monocyte_CD14:ENSG00000287925 +10,16512724,Monocyte_CD14:ENSG00000287925 +3,129466495,Monocyte_CD14:ENSG00000004399 +3,129554472,Monocyte_CD14:ENSG00000004399 +3,129599751,Monocyte_CD14:ENSG00000004399 +3,129611647,Monocyte_CD14:ENSG00000004399 +3,50122676,Monocyte_CD14:ENSG00000004534 +3,170009142,Monocyte_CD14:ENSG00000008952 +3,52462213,Monocyte_CD14:ENSG00000010327 +3,52711071,Monocyte_CD14:ENSG00000010327 +3,43694125,Monocyte_CD14:ENSG00000011198 +3,43695762,Monocyte_CD14:ENSG00000011198 +3,45473392,Monocyte_CD14:ENSG00000011376 +3,132170690,Monocyte_CD14:ENSG00000014257 +3,132300565,Monocyte_CD14:ENSG00000014257 +3,132302464,Monocyte_CD14:ENSG00000014257 +3,132354481,Monocyte_CD14:ENSG00000014257 +3,132371793,Monocyte_CD14:ENSG00000014257 +3,52931583,Monocyte_CD14:ENSG00000016864 +3,119305532,Monocyte_CD14:ENSG00000031081 +3,119323125,Monocyte_CD14:ENSG00000031081 +3,27460024,Monocyte_CD14:ENSG00000033867 +3,27560201,Monocyte_CD14:ENSG00000033867 +3,27605925,Monocyte_CD14:ENSG00000033867 +3,100215236,Monocyte_CD14:ENSG00000036054 +3,194648851,Monocyte_CD14:ENSG00000041802 +3,48146944,Monocyte_CD14:ENSG00000047849 +3,138708593,Monocyte_CD14:ENSG00000051382 +3,52830677,Monocyte_CD14:ENSG00000055955 +3,98901456,Monocyte_CD14:ENSG00000057019 +3,179653366,Monocyte_CD14:ENSG00000058056 +3,179653753,Monocyte_CD14:ENSG00000058056 +3,179689405,Monocyte_CD14:ENSG00000058056 +3,182794412,Monocyte_CD14:ENSG00000058063 +3,182840635,Monocyte_CD14:ENSG00000058063 +3,38301311,Monocyte_CD14:ENSG00000060971 +3,195867280,Monocyte_CD14:ENSG00000061938 +3,98911808,Monocyte_CD14:ENSG00000064225 +3,123072455,Monocyte_CD14:ENSG00000065485 +3,120624595,Monocyte_CD14:ENSG00000065518 +3,123632805,Monocyte_CD14:ENSG00000065534 +3,101451938,Monocyte_CD14:ENSG00000066422 +3,49504962,Monocyte_CD14:ENSG00000067560 +3,50336862,Monocyte_CD14:ENSG00000068028 +3,48694528,Monocyte_CD14:ENSG00000068745 +3,141877195,Monocyte_CD14:ENSG00000069849 +3,141885045,Monocyte_CD14:ENSG00000069849 +3,126448068,Monocyte_CD14:ENSG00000070476 +3,8516310,Monocyte_CD14:ENSG00000071282 +3,149122131,Monocyte_CD14:ENSG00000071794 +3,196103649,Monocyte_CD14:ENSG00000072274 +3,196180531,Monocyte_CD14:ENSG00000072274 +3,3167971,Monocyte_CD14:ENSG00000072756 +3,127587682,Monocyte_CD14:ENSG00000073111 +3,136001831,Monocyte_CD14:ENSG00000073711 +3,185879082,Monocyte_CD14:ENSG00000073792 +3,185283523,Monocyte_CD14:ENSG00000073803 +3,185333702,Monocyte_CD14:ENSG00000073803 +3,187013670,Monocyte_CD14:ENSG00000073849 +3,127755187,Monocyte_CD14:ENSG00000074416 +3,127908484,Monocyte_CD14:ENSG00000074416 +3,171978128,Monocyte_CD14:ENSG00000075420 +3,197169056,Monocyte_CD14:ENSG00000075711 +3,128701591,Monocyte_CD14:ENSG00000075785 +3,44975427,Monocyte_CD14:ENSG00000075914 +3,44999397,Monocyte_CD14:ENSG00000075914 +3,12536738,Monocyte_CD14:ENSG00000075975 +3,36993455,Monocyte_CD14:ENSG00000076242 +3,25668154,Monocyte_CD14:ENSG00000077097 +3,183011808,Monocyte_CD14:ENSG00000078070 +3,183091805,Monocyte_CD14:ENSG00000078070 +3,158634717,Monocyte_CD14:ENSG00000079257 +3,97826055,Monocyte_CD14:ENSG00000080200 +3,97917245,Monocyte_CD14:ENSG00000080200 +3,98186577,Monocyte_CD14:ENSG00000080200 +3,98566549,Monocyte_CD14:ENSG00000080819 +3,98587372,Monocyte_CD14:ENSG00000080819 +3,98565599,Monocyte_CD14:ENSG00000080822 +3,101654962,Monocyte_CD14:ENSG00000081154 +3,120162051,Monocyte_CD14:ENSG00000082701 +3,120210204,Monocyte_CD14:ENSG00000082701 +3,124850711,Monocyte_CD14:ENSG00000082781 +3,149857558,Monocyte_CD14:ENSG00000082996 +3,87255411,Monocyte_CD14:ENSG00000083937 +3,87255873,Monocyte_CD14:ENSG00000083937 +3,51135090,Monocyte_CD14:ENSG00000088543 +3,47282568,Monocyte_CD14:ENSG00000088727 +3,186569390,Monocyte_CD14:ENSG00000090520 +3,32405779,Monocyte_CD14:ENSG00000091317 +3,32483534,Monocyte_CD14:ENSG00000091317 +3,133579339,Monocyte_CD14:ENSG00000091527 +3,133582394,Monocyte_CD14:ENSG00000091527 +3,37082927,Monocyte_CD14:ENSG00000093167 +3,42658964,Monocyte_CD14:ENSG00000093183 +3,185283523,Monocyte_CD14:ENSG00000113790 +3,53867584,Monocyte_CD14:ENSG00000113811 +3,119487773,Monocyte_CD14:ENSG00000113845 +3,3151243,Monocyte_CD14:ENSG00000113851 +3,187741991,Monocyte_CD14:ENSG00000113916 +3,187850371,Monocyte_CD14:ENSG00000113916 +3,188417995,Monocyte_CD14:ENSG00000113916 +3,97764868,Monocyte_CD14:ENSG00000113966 +3,132660221,Monocyte_CD14:ENSG00000113971 +3,132718123,Monocyte_CD14:ENSG00000113971 +3,132722424,Monocyte_CD14:ENSG00000113971 +3,121995172,Monocyte_CD14:ENSG00000114013 +3,121995326,Monocyte_CD14:ENSG00000114013 +3,122056287,Monocyte_CD14:ENSG00000114013 +3,122115210,Monocyte_CD14:ENSG00000114013 +3,100375310,Monocyte_CD14:ENSG00000114021 +3,122381494,Monocyte_CD14:ENSG00000114023 +3,9749861,Monocyte_CD14:ENSG00000114026 +3,122531633,Monocyte_CD14:ENSG00000114030 +3,136307357,Monocyte_CD14:ENSG00000114054 +3,140847288,Monocyte_CD14:ENSG00000114120 +3,141676001,Monocyte_CD14:ENSG00000114125 +3,141745304,Monocyte_CD14:ENSG00000114125 +3,141751618,Monocyte_CD14:ENSG00000114125 +3,142149569,Monocyte_CD14:ENSG00000114126 +3,142327823,Monocyte_CD14:ENSG00000114127 +3,20031701,Monocyte_CD14:ENSG00000114166 +3,20040847,Monocyte_CD14:ENSG00000114166 +3,167868779,Monocyte_CD14:ENSG00000114209 +3,49023895,Monocyte_CD14:ENSG00000114302 +3,48817325,Monocyte_CD14:ENSG00000114316 +3,195451066,Monocyte_CD14:ENSG00000114331 +3,195528068,Monocyte_CD14:ENSG00000114331 +3,50276092,Monocyte_CD14:ENSG00000114353 +3,100748174,Monocyte_CD14:ENSG00000114354 +3,101564326,Monocyte_CD14:ENSG00000114391 +3,62281124,Monocyte_CD14:ENSG00000114405 +3,62281279,Monocyte_CD14:ENSG00000114405 +3,62319398,Monocyte_CD14:ENSG00000114405 +3,105704000,Monocyte_CD14:ENSG00000114423 +3,105955129,Monocyte_CD14:ENSG00000114423 +3,107676286,Monocyte_CD14:ENSG00000114439 +3,108221789,Monocyte_CD14:ENSG00000114446 +3,108288740,Monocyte_CD14:ENSG00000114446 +3,179374452,Monocyte_CD14:ENSG00000114450 +3,198096681,Monocyte_CD14:ENSG00000114473 +3,81842325,Monocyte_CD14:ENSG00000114480 +3,124722610,Monocyte_CD14:ENSG00000114491 +3,196886812,Monocyte_CD14:ENSG00000114503 +3,125548875,Monocyte_CD14:ENSG00000114520 +3,69333198,Monocyte_CD14:ENSG00000114541 +3,69355421,Monocyte_CD14:ENSG00000114541 +3,69500817,Monocyte_CD14:ENSG00000114541 +3,125984950,Monocyte_CD14:ENSG00000114544 +3,126052813,Monocyte_CD14:ENSG00000114544 +3,126083762,Monocyte_CD14:ENSG00000114544 +3,127587682,Monocyte_CD14:ENSG00000114626 +3,127678710,Monocyte_CD14:ENSG00000114626 +3,127755187,Monocyte_CD14:ENSG00000114626 +3,127908484,Monocyte_CD14:ENSG00000114626 +3,127192743,Monocyte_CD14:ENSG00000114631 +3,47339009,Monocyte_CD14:ENSG00000114648 +3,47332352,Monocyte_CD14:ENSG00000114650 +3,129569285,Monocyte_CD14:ENSG00000114656 +3,130982706,Monocyte_CD14:ENSG00000114670 +3,50642955,Monocyte_CD14:ENSG00000114738 +3,50867211,Monocyte_CD14:ENSG00000114738 +3,38527337,Monocyte_CD14:ENSG00000114739 +3,39132971,Monocyte_CD14:ENSG00000114742 +3,184022562,Monocyte_CD14:ENSG00000114770 +3,51685714,Monocyte_CD14:ENSG00000114779 +3,51951987,Monocyte_CD14:ENSG00000114779 +3,51970081,Monocyte_CD14:ENSG00000114779 +3,40317514,Monocyte_CD14:ENSG00000114784 +3,183651657,Monocyte_CD14:ENSG00000114796 +3,42490447,Monocyte_CD14:ENSG00000114812 +3,42529598,Monocyte_CD14:ENSG00000114812 +3,156581362,Monocyte_CD14:ENSG00000114850 +3,42624996,Monocyte_CD14:ENSG00000114853 +3,42658964,Monocyte_CD14:ENSG00000114857 +3,183634546,Monocyte_CD14:ENSG00000114859 +3,52674057,Monocyte_CD14:ENSG00000114902 +3,52763652,Monocyte_CD14:ENSG00000114904 +3,52770471,Monocyte_CD14:ENSG00000114904 +3,136462329,Monocyte_CD14:ENSG00000118007 +3,158745077,Monocyte_CD14:ENSG00000118855 +3,158803429,Monocyte_CD14:ENSG00000118855 +3,158826381,Monocyte_CD14:ENSG00000118855 +3,196902707,Monocyte_CD14:ENSG00000119227 +3,197103084,Monocyte_CD14:ENSG00000119227 +3,196886812,Monocyte_CD14:ENSG00000119231 +3,150047728,Monocyte_CD14:ENSG00000120742 +3,150509112,Monocyte_CD14:ENSG00000120742 +3,150541881,Monocyte_CD14:ENSG00000120742 +3,122308215,Monocyte_CD14:ENSG00000121552 +3,122325197,Monocyte_CD14:ENSG00000121552 +3,122334433,Monocyte_CD14:ENSG00000121552 +3,122334720,Monocyte_CD14:ENSG00000121552 +3,119660025,Monocyte_CD14:ENSG00000121577 +3,119240632,Monocyte_CD14:ENSG00000121578 +3,46445948,Monocyte_CD14:ENSG00000121797 +3,46208452,Monocyte_CD14:ENSG00000121807 +3,46302202,Monocyte_CD14:ENSG00000121807 +3,46313128,Monocyte_CD14:ENSG00000121807 +3,46323369,Monocyte_CD14:ENSG00000121807 +3,46367204,Monocyte_CD14:ENSG00000121807 +3,172518940,Monocyte_CD14:ENSG00000121858 +3,172559189,Monocyte_CD14:ENSG00000121858 +3,172577921,Monocyte_CD14:ENSG00000121858 +3,179419485,Monocyte_CD14:ENSG00000121864 +3,197755889,Monocyte_CD14:ENSG00000122068 +3,9939987,Monocyte_CD14:ENSG00000125037 +3,132550917,Monocyte_CD14:ENSG00000129048 +3,134489325,Monocyte_CD14:ENSG00000129055 +3,129522685,Monocyte_CD14:ENSG00000129071 +3,15156480,Monocyte_CD14:ENSG00000131370 +3,15258105,Monocyte_CD14:ENSG00000131370 +3,15272091,Monocyte_CD14:ENSG00000131370 +3,15292044,Monocyte_CD14:ENSG00000131370 +3,17739361,Monocyte_CD14:ENSG00000131374 +3,14431770,Monocyte_CD14:ENSG00000131389 +3,14479052,Monocyte_CD14:ENSG00000131389 +3,14489213,Monocyte_CD14:ENSG00000131389 +3,12479222,Monocyte_CD14:ENSG00000132170 +3,194527457,Monocyte_CD14:ENSG00000133657 +3,9780230,Monocyte_CD14:ENSG00000134072 +3,9786660,Monocyte_CD14:ENSG00000134072 +3,9362966,Monocyte_CD14:ENSG00000134077 +3,9363240,Monocyte_CD14:ENSG00000134077 +3,5028877,Monocyte_CD14:ENSG00000134107 +3,5126834,Monocyte_CD14:ENSG00000134108 +3,5126834,Monocyte_CD14:ENSG00000134109 +3,37997491,Monocyte_CD14:ENSG00000136059 +3,57960369,Monocyte_CD14:ENSG00000136068 +3,57982145,Monocyte_CD14:ENSG00000136068 +3,57998677,Monocyte_CD14:ENSG00000136068 +3,58062546,Monocyte_CD14:ENSG00000136068 +3,187375198,Monocyte_CD14:ENSG00000136514 +3,179619617,Monocyte_CD14:ENSG00000136521 +3,179596333,Monocyte_CD14:ENSG00000136522 +3,185921774,Monocyte_CD14:ENSG00000136527 +3,185956409,Monocyte_CD14:ENSG00000136527 +3,170228396,Monocyte_CD14:ENSG00000136603 +3,132516500,Monocyte_CD14:ENSG00000138246 +3,132660221,Monocyte_CD14:ENSG00000138246 +3,112533543,Monocyte_CD14:ENSG00000138459 +3,122833672,Monocyte_CD14:ENSG00000138463 +3,122879444,Monocyte_CD14:ENSG00000138463 +3,101550446,Monocyte_CD14:ENSG00000138468 +3,101607971,Monocyte_CD14:ENSG00000138468 +3,119656355,Monocyte_CD14:ENSG00000138495 +3,122457391,Monocyte_CD14:ENSG00000138496 +3,4357306,Monocyte_CD14:ENSG00000144455 +3,4361853,Monocyte_CD14:ENSG00000144455 +3,4467058,Monocyte_CD14:ENSG00000144455 +3,9715898,Monocyte_CD14:ENSG00000144550 +3,10107696,Monocyte_CD14:ENSG00000144554 +3,11808333,Monocyte_CD14:ENSG00000144559 +3,11846517,Monocyte_CD14:ENSG00000144559 +3,11252341,Monocyte_CD14:ENSG00000144560 +3,19959069,Monocyte_CD14:ENSG00000144566 +3,14851924,Monocyte_CD14:ENSG00000144596 +3,32579744,Monocyte_CD14:ENSG00000144635 +3,32579867,Monocyte_CD14:ENSG00000144635 +3,37494493,Monocyte_CD14:ENSG00000144668 +3,37260157,Monocyte_CD14:ENSG00000144674 +3,37131778,Monocyte_CD14:ENSG00000144677 +3,36392663,Monocyte_CD14:ENSG00000144681 +3,13003979,Monocyte_CD14:ENSG00000144711 +3,13012586,Monocyte_CD14:ENSG00000144711 +3,12841572,Monocyte_CD14:ENSG00000144713 +3,66236632,Monocyte_CD14:ENSG00000144741 +3,66394191,Monocyte_CD14:ENSG00000144741 +3,69077982,Monocyte_CD14:ENSG00000144744 +3,69013445,Monocyte_CD14:ENSG00000144746 +3,69099320,Monocyte_CD14:ENSG00000144746 +3,45649704,Monocyte_CD14:ENSG00000144791 +3,44721338,Monocyte_CD14:ENSG00000144792 +3,101898737,Monocyte_CD14:ENSG00000144802 +3,101779233,Monocyte_CD14:ENSG00000144815 +3,100624895,Monocyte_CD14:ENSG00000144820 +3,111991359,Monocyte_CD14:ENSG00000144827 +3,119671372,Monocyte_CD14:ENSG00000144837 +3,119579762,Monocyte_CD14:ENSG00000144843 +3,119627634,Monocyte_CD14:ENSG00000144843 +3,112521752,Monocyte_CD14:ENSG00000144848 +3,150590388,Monocyte_CD14:ENSG00000144895 +3,150621278,Monocyte_CD14:ENSG00000144895 +3,125535590,Monocyte_CD14:ENSG00000144909 +3,125594866,Monocyte_CD14:ENSG00000144909 +3,125638626,Monocyte_CD14:ENSG00000144909 +3,172675323,Monocyte_CD14:ENSG00000144959 +3,172698745,Monocyte_CD14:ENSG00000144959 +3,172702079,Monocyte_CD14:ENSG00000144959 +3,188152990,Monocyte_CD14:ENSG00000145012 +3,49473498,Monocyte_CD14:ENSG00000145020 +3,49473498,Monocyte_CD14:ENSG00000145022 +3,121953458,Monocyte_CD14:ENSG00000145088 +3,4489074,Monocyte_CD14:ENSG00000150995 +3,4525944,Monocyte_CD14:ENSG00000150995 +3,25759919,Monocyte_CD14:ENSG00000151093 +3,114090526,Monocyte_CD14:ENSG00000151576 +3,191246131,Monocyte_CD14:ENSG00000152492 +3,191295031,Monocyte_CD14:ENSG00000152492 +3,191324084,Monocyte_CD14:ENSG00000152492 +3,191369757,Monocyte_CD14:ENSG00000152492 +3,151497851,Monocyte_CD14:ENSG00000152580 +3,151537458,Monocyte_CD14:ENSG00000152580 +3,152262200,Monocyte_CD14:ENSG00000152601 +3,32145764,Monocyte_CD14:ENSG00000152642 +3,146160371,Monocyte_CD14:ENSG00000152952 +3,32395924,Monocyte_CD14:ENSG00000153551 +3,32413589,Monocyte_CD14:ENSG00000153551 +3,33443467,Monocyte_CD14:ENSG00000153558 +3,171553723,Monocyte_CD14:ENSG00000154310 +3,12486101,Monocyte_CD14:ENSG00000154743 +3,14198653,Monocyte_CD14:ENSG00000154767 +3,16309942,Monocyte_CD14:ENSG00000154813 +3,16867007,Monocyte_CD14:ENSG00000154822 +3,141226843,Monocyte_CD14:ENSG00000155893 +3,141617993,Monocyte_CD14:ENSG00000155903 +3,185070673,Monocyte_CD14:ENSG00000156931 +3,186800863,Monocyte_CD14:ENSG00000156976 +3,9715898,Monocyte_CD14:ENSG00000156983 +3,9847001,Monocyte_CD14:ENSG00000156990 +3,10273419,Monocyte_CD14:ENSG00000157014 +3,10326418,Monocyte_CD14:ENSG00000157017 +3,38468897,Monocyte_CD14:ENSG00000157036 +3,54969706,Monocyte_CD14:ENSG00000157445 +3,136833069,Monocyte_CD14:ENSG00000158092 +3,138140470,Monocyte_CD14:ENSG00000158163 +3,138348474,Monocyte_CD14:ENSG00000158186 +3,138362784,Monocyte_CD14:ENSG00000158186 +3,138609174,Monocyte_CD14:ENSG00000158234 +3,122392074,Monocyte_CD14:ENSG00000160124 +3,122457391,Monocyte_CD14:ENSG00000160124 +3,43617353,Monocyte_CD14:ENSG00000160746 +3,43635662,Monocyte_CD14:ENSG00000160746 +3,46040684,Monocyte_CD14:ENSG00000160791 +3,46365087,Monocyte_CD14:ENSG00000160791 +3,46418258,Monocyte_CD14:ENSG00000160791 +3,46427055,Monocyte_CD14:ENSG00000160791 +3,46437375,Monocyte_CD14:ENSG00000160791 +3,47531095,Monocyte_CD14:ENSG00000160796 +3,184145411,Monocyte_CD14:ENSG00000161203 +3,196278573,Monocyte_CD14:ENSG00000161217 +3,51987300,Monocyte_CD14:ENSG00000162244 +3,51995887,Monocyte_CD14:ENSG00000162244 +3,51995929,Monocyte_CD14:ENSG00000162244 +3,51995963,Monocyte_CD14:ENSG00000162244 +3,52838858,Monocyte_CD14:ENSG00000162244 +3,69012893,Monocyte_CD14:ENSG00000163378 +3,119487773,Monocyte_CD14:ENSG00000163389 +3,71722064,Monocyte_CD14:ENSG00000163412 +3,71780091,Monocyte_CD14:ENSG00000163412 +3,71805436,Monocyte_CD14:ENSG00000163412 +3,71722064,Monocyte_CD14:ENSG00000163421 +3,71780091,Monocyte_CD14:ENSG00000163421 +3,71805436,Monocyte_CD14:ENSG00000163421 +3,72138118,Monocyte_CD14:ENSG00000163421 +3,120319517,Monocyte_CD14:ENSG00000163428 +3,108522340,Monocyte_CD14:ENSG00000163507 +3,28348860,Monocyte_CD14:ENSG00000163512 +3,30649827,Monocyte_CD14:ENSG00000163513 +3,30698616,Monocyte_CD14:ENSG00000163513 +3,13484209,Monocyte_CD14:ENSG00000163517 +3,31578630,Monocyte_CD14:ENSG00000163527 +3,14109978,Monocyte_CD14:ENSG00000163528 +3,33747890,Monocyte_CD14:ENSG00000163539 +3,19946945,Monocyte_CD14:ENSG00000163576 +3,170865099,Monocyte_CD14:ENSG00000163584 +3,160791718,Monocyte_CD14:ENSG00000163590 +3,160801930,Monocyte_CD14:ENSG00000163590 +3,72449285,Monocyte_CD14:ENSG00000163602 +3,112967681,Monocyte_CD14:ENSG00000163606 +3,112968024,Monocyte_CD14:ENSG00000163606 +3,112974906,Monocyte_CD14:ENSG00000163606 +3,113006595,Monocyte_CD14:ENSG00000163607 +3,63795808,Monocyte_CD14:ENSG00000163634 +3,64726704,Monocyte_CD14:ENSG00000163635 +3,64731100,Monocyte_CD14:ENSG00000163636 +3,155933085,Monocyte_CD14:ENSG00000163655 +3,156705283,Monocyte_CD14:ENSG00000163659 +3,157154287,Monocyte_CD14:ENSG00000163660 +3,157160776,Monocyte_CD14:ENSG00000163660 +3,157176774,Monocyte_CD14:ENSG00000163661 +3,58289904,Monocyte_CD14:ENSG00000163684 +3,58320304,Monocyte_CD14:ENSG00000163684 +3,58201184,Monocyte_CD14:ENSG00000163686 +3,9907950,Monocyte_CD14:ENSG00000163702 +3,10025121,Monocyte_CD14:ENSG00000163703 +3,10078244,Monocyte_CD14:ENSG00000163704 +3,143066571,Monocyte_CD14:ENSG00000163714 +3,180471520,Monocyte_CD14:ENSG00000163728 +3,149009346,Monocyte_CD14:ENSG00000163754 +3,149148069,Monocyte_CD14:ENSG00000163755 +3,133692761,Monocyte_CD14:ENSG00000163781 +3,134276610,Monocyte_CD14:ENSG00000163785 +3,44780089,Monocyte_CD14:ENSG00000163807 +3,45006116,Monocyte_CD14:ENSG00000163812 +3,45146045,Monocyte_CD14:ENSG00000163814 +3,45006116,Monocyte_CD14:ENSG00000163815 +3,45996961,Monocyte_CD14:ENSG00000163823 +3,46059004,Monocyte_CD14:ENSG00000163823 +3,46092473,Monocyte_CD14:ENSG00000163823 +3,46152407,Monocyte_CD14:ENSG00000163823 +3,46208452,Monocyte_CD14:ENSG00000163823 +3,122583859,Monocyte_CD14:ENSG00000163840 +3,125368834,Monocyte_CD14:ENSG00000163848 +3,139674080,Monocyte_CD14:ENSG00000163864 +3,139679057,Monocyte_CD14:ENSG00000163864 +3,127573490,Monocyte_CD14:ENSG00000163870 +3,128630533,Monocyte_CD14:ENSG00000163902 +3,128677640,Monocyte_CD14:ENSG00000163902 +3,187138776,Monocyte_CD14:ENSG00000163923 +3,53218322,Monocyte_CD14:ENSG00000163931 +3,53252672,Monocyte_CD14:ENSG00000163931 +3,53252916,Monocyte_CD14:ENSG00000163931 +3,53502559,Monocyte_CD14:ENSG00000163931 +3,53192981,Monocyte_CD14:ENSG00000163932 +3,53096729,Monocyte_CD14:ENSG00000163933 +3,53077688,Monocyte_CD14:ENSG00000163935 +3,52615732,Monocyte_CD14:ENSG00000163938 +3,52512856,Monocyte_CD14:ENSG00000163939 +3,56686124,Monocyte_CD14:ENSG00000163946 +3,56729200,Monocyte_CD14:ENSG00000163947 +3,56757213,Monocyte_CD14:ENSG00000163947 +3,196208336,Monocyte_CD14:ENSG00000163958 +3,196263951,Monocyte_CD14:ENSG00000163959 +3,196351278,Monocyte_CD14:ENSG00000163960 +3,196503920,Monocyte_CD14:ENSG00000163961 +3,196688484,Monocyte_CD14:ENSG00000163964 +3,196689451,Monocyte_CD14:ENSG00000163964 +3,196707493,Monocyte_CD14:ENSG00000163964 +3,197103084,Monocyte_CD14:ENSG00000163975 +3,48234587,Monocyte_CD14:ENSG00000164045 +3,48234587,Monocyte_CD14:ENSG00000164048 +3,48467186,Monocyte_CD14:ENSG00000164050 +3,48446788,Monocyte_CD14:ENSG00000164053 +3,48467186,Monocyte_CD14:ENSG00000164054 +3,49637025,Monocyte_CD14:ENSG00000164062 +3,52041928,Monocyte_CD14:ENSG00000164086 +3,51926540,Monocyte_CD14:ENSG00000164088 +3,52273153,Monocyte_CD14:ENSG00000164091 +3,36901627,Monocyte_CD14:ENSG00000168016 +3,36924576,Monocyte_CD14:ENSG00000168016 +3,39107727,Monocyte_CD14:ENSG00000168026 +3,39381516,Monocyte_CD14:ENSG00000168028 +3,39407129,Monocyte_CD14:ENSG00000168028 +3,39438110,Monocyte_CD14:ENSG00000168028 +3,41765956,Monocyte_CD14:ENSG00000168038 +3,41904026,Monocyte_CD14:ENSG00000168038 +3,52462213,Monocyte_CD14:ENSG00000168268 +3,52532898,Monocyte_CD14:ENSG00000168268 +3,52552109,Monocyte_CD14:ENSG00000168268 +3,52462213,Monocyte_CD14:ENSG00000168273 +3,52552109,Monocyte_CD14:ENSG00000168273 +3,58434691,Monocyte_CD14:ENSG00000168291 +3,58265003,Monocyte_CD14:ENSG00000168297 +3,58475799,Monocyte_CD14:ENSG00000168297 +3,39204651,Monocyte_CD14:ENSG00000168329 +3,39251064,Monocyte_CD14:ENSG00000168329 +3,39261168,Monocyte_CD14:ENSG00000168329 +3,57571717,Monocyte_CD14:ENSG00000168374 +3,100117878,Monocyte_CD14:ENSG00000168386 +3,158096954,Monocyte_CD14:ENSG00000168779 +3,158655141,Monocyte_CD14:ENSG00000168827 +3,136949840,Monocyte_CD14:ENSG00000168917 +3,122754584,Monocyte_CD14:ENSG00000169087 +3,122833672,Monocyte_CD14:ENSG00000169087 +3,156540216,Monocyte_CD14:ENSG00000169282 +3,151384664,Monocyte_CD14:ENSG00000169313 +3,151412808,Monocyte_CD14:ENSG00000169313 +3,155820419,Monocyte_CD14:ENSG00000169359 +3,152903005,Monocyte_CD14:ENSG00000169860 +3,44721338,Monocyte_CD14:ENSG00000169981 +3,105112410,Monocyte_CD14:ENSG00000170017 +3,105329663,Monocyte_CD14:ENSG00000170017 +3,105377083,Monocyte_CD14:ENSG00000170017 +3,105505303,Monocyte_CD14:ENSG00000170017 +3,33838806,Monocyte_CD14:ENSG00000170248 +3,33839082,Monocyte_CD14:ENSG00000170248 +3,33041420,Monocyte_CD14:ENSG00000170266 +3,33045708,Monocyte_CD14:ENSG00000170266 +3,33110662,Monocyte_CD14:ENSG00000170275 +3,33110662,Monocyte_CD14:ENSG00000170275 +3,33114528,Monocyte_CD14:ENSG00000170275 +3,33132676,Monocyte_CD14:ENSG00000170275 +3,33152646,Monocyte_CD14:ENSG00000170275 +3,32270853,Monocyte_CD14:ENSG00000170293 +3,4303349,Monocyte_CD14:ENSG00000170364 +3,4361853,Monocyte_CD14:ENSG00000170364 +3,71587488,Monocyte_CD14:ENSG00000170837 +3,71722064,Monocyte_CD14:ENSG00000170837 +3,71735973,Monocyte_CD14:ENSG00000170837 +3,71753865,Monocyte_CD14:ENSG00000170837 +3,71780091,Monocyte_CD14:ENSG00000170837 +3,71805436,Monocyte_CD14:ENSG00000170837 +3,97917245,Monocyte_CD14:ENSG00000170854 +3,98004233,Monocyte_CD14:ENSG00000170854 +3,14142072,Monocyte_CD14:ENSG00000170876 +3,14158387,Monocyte_CD14:ENSG00000170876 +3,179348516,Monocyte_CD14:ENSG00000171109 +3,9907950,Monocyte_CD14:ENSG00000171135 +3,9795155,Monocyte_CD14:ENSG00000171148 +3,48671032,Monocyte_CD14:ENSG00000172037 +3,49297335,Monocyte_CD14:ENSG00000172037 +3,49978192,Monocyte_CD14:ENSG00000172053 +3,48312136,Monocyte_CD14:ENSG00000172113 +3,67376174,Monocyte_CD14:ENSG00000172340 +3,67407957,Monocyte_CD14:ENSG00000172340 +3,67621279,Monocyte_CD14:ENSG00000172340 +3,183501868,Monocyte_CD14:ENSG00000172578 +3,178963453,Monocyte_CD14:ENSG00000172667 +3,129395359,Monocyte_CD14:ENSG00000172771 +3,122680815,Monocyte_CD14:ENSG00000173193 +3,122721218,Monocyte_CD14:ENSG00000173193 +3,122928763,Monocyte_CD14:ENSG00000173193 +3,122576388,Monocyte_CD14:ENSG00000173200 +3,121728241,Monocyte_CD14:ENSG00000173226 +3,121782223,Monocyte_CD14:ENSG00000173226 +3,121808260,Monocyte_CD14:ENSG00000173226 +3,121688880,Monocyte_CD14:ENSG00000173230 +3,125167978,Monocyte_CD14:ENSG00000173706 +3,125368834,Monocyte_CD14:ENSG00000173706 +3,170199131,Monocyte_CD14:ENSG00000173889 +3,170009142,Monocyte_CD14:ENSG00000173890 +3,170038331,Monocyte_CD14:ENSG00000173890 +3,170039058,Monocyte_CD14:ENSG00000173890 +3,170219454,Monocyte_CD14:ENSG00000173890 +3,167868779,Monocyte_CD14:ENSG00000173905 +3,195067116,Monocyte_CD14:ENSG00000173950 +3,195351743,Monocyte_CD14:ENSG00000173950 +3,196620382,Monocyte_CD14:ENSG00000174004 +3,196688484,Monocyte_CD14:ENSG00000174004 +3,196707493,Monocyte_CD14:ENSG00000174007 +3,196568659,Monocyte_CD14:ENSG00000174013 +3,101562690,Monocyte_CD14:ENSG00000174173 +3,23933984,Monocyte_CD14:ENSG00000174748 +3,167814290,Monocyte_CD14:ENSG00000174776 +3,57586284,Monocyte_CD14:ENSG00000174839 +3,158110533,Monocyte_CD14:ENSG00000174891 +3,158135133,Monocyte_CD14:ENSG00000174891 +3,151163507,Monocyte_CD14:ENSG00000174944 +3,154246707,Monocyte_CD14:ENSG00000174953 +3,143600453,Monocyte_CD14:ENSG00000175040 +3,142502598,Monocyte_CD14:ENSG00000175054 +3,142165457,Monocyte_CD14:ENSG00000175066 +3,142175191,Monocyte_CD14:ENSG00000175066 +3,184298924,Monocyte_CD14:ENSG00000175166 +3,123847244,Monocyte_CD14:ENSG00000175455 +3,49823849,Monocyte_CD14:ENSG00000176095 +3,183210988,Monocyte_CD14:ENSG00000176597 +3,183244382,Monocyte_CD14:ENSG00000176597 +3,195750217,Monocyte_CD14:ENSG00000176945 +3,195779833,Monocyte_CD14:ENSG00000176945 +3,195929860,Monocyte_CD14:ENSG00000176945 +3,141402972,Monocyte_CD14:ENSG00000177311 +3,49125150,Monocyte_CD14:ENSG00000177352 +3,184637317,Monocyte_CD14:ENSG00000177383 +3,184711626,Monocyte_CD14:ENSG00000177383 +3,15039095,Monocyte_CD14:ENSG00000177463 +3,48927645,Monocyte_CD14:ENSG00000177479 +3,128937341,Monocyte_CD14:ENSG00000177646 +3,110819000,Monocyte_CD14:ENSG00000177707 +3,46704488,Monocyte_CD14:ENSG00000178038 +3,48067704,Monocyte_CD14:ENSG00000178057 +3,48998452,Monocyte_CD14:ENSG00000178252 +3,49072152,Monocyte_CD14:ENSG00000178252 +3,48705909,Monocyte_CD14:ENSG00000178467 +3,36993455,Monocyte_CD14:ENSG00000178567 +3,94062771,Monocyte_CD14:ENSG00000178700 +3,44721338,Monocyte_CD14:ENSG00000178917 +3,88161663,Monocyte_CD14:ENSG00000179021 +3,87792672,Monocyte_CD14:ENSG00000179097 +3,44285937,Monocyte_CD14:ENSG00000179152 +3,121554899,Monocyte_CD14:ENSG00000180353 +3,121628254,Monocyte_CD14:ENSG00000180353 +3,121644833,Monocyte_CD14:ENSG00000180353 +3,121646688,Monocyte_CD14:ENSG00000180353 +3,196688484,Monocyte_CD14:ENSG00000180370 +3,196767831,Monocyte_CD14:ENSG00000180370 +3,196828572,Monocyte_CD14:ENSG00000180370 +3,56557031,Monocyte_CD14:ENSG00000180376 +3,56557037,Monocyte_CD14:ENSG00000180376 +3,56571306,Monocyte_CD14:ENSG00000180376 +3,193671601,Monocyte_CD14:ENSG00000180611 +3,126518598,Monocyte_CD14:ENSG00000180767 +3,126529005,Monocyte_CD14:ENSG00000180767 +3,100514581,Monocyte_CD14:ENSG00000181458 +3,100560262,Monocyte_CD14:ENSG00000181458 +3,153231797,Monocyte_CD14:ENSG00000181467 +3,151327507,Monocyte_CD14:ENSG00000181631 +3,115097031,Monocyte_CD14:ENSG00000181722 +3,143917579,Monocyte_CD14:ENSG00000181744 +3,143977572,Monocyte_CD14:ENSG00000181744 +3,150751428,Monocyte_CD14:ENSG00000181788 +3,49808978,Monocyte_CD14:ENSG00000182179 +3,23308975,Monocyte_CD14:ENSG00000182247 +3,18704008,Monocyte_CD14:ENSG00000182568 +3,184586558,Monocyte_CD14:ENSG00000182580 +3,184620928,Monocyte_CD14:ENSG00000182580 +3,184637317,Monocyte_CD14:ENSG00000182580 +3,184637888,Monocyte_CD14:ENSG00000182580 +3,42201195,Monocyte_CD14:ENSG00000182606 +3,197950221,Monocyte_CD14:ENSG00000182899 +3,134489325,Monocyte_CD14:ENSG00000182923 +3,99883243,Monocyte_CD14:ENSG00000184220 +3,139496839,Monocyte_CD14:ENSG00000184432 +3,129325635,Monocyte_CD14:ENSG00000184897 +3,194682542,Monocyte_CD14:ENSG00000185112 +3,194687975,Monocyte_CD14:ENSG00000185112 +3,194886001,Monocyte_CD14:ENSG00000185112 +3,195110784,Monocyte_CD14:ENSG00000185112 +3,44494397,Monocyte_CD14:ENSG00000185219 +3,198011126,Monocyte_CD14:ENSG00000185621 +3,49386804,Monocyte_CD14:ENSG00000185909 +3,44721338,Monocyte_CD14:ENSG00000186446 +3,44721338,Monocyte_CD14:ENSG00000186448 +3,50295266,Monocyte_CD14:ENSG00000186792 +3,69777850,Monocyte_CD14:ENSG00000187098 +3,28241610,Monocyte_CD14:ENSG00000187118 +3,146541776,Monocyte_CD14:ENSG00000188313 +3,146544557,Monocyte_CD14:ENSG00000188313 +3,40327147,Monocyte_CD14:ENSG00000188846 +3,40477648,Monocyte_CD14:ENSG00000188846 +3,9249757,Monocyte_CD14:ENSG00000196220 +3,44656393,Monocyte_CD14:ENSG00000196345 +3,132302464,Monocyte_CD14:ENSG00000196353 +3,130717567,Monocyte_CD14:ENSG00000196455 +3,155117435,Monocyte_CD14:ENSG00000196549 +3,44721338,Monocyte_CD14:ENSG00000196653 +3,108288740,Monocyte_CD14:ENSG00000196776 +3,122561457,Monocyte_CD14:ENSG00000196981 +3,11279938,Monocyte_CD14:ENSG00000197548 +3,126530422,Monocyte_CD14:ENSG00000197763 +3,131360984,Monocyte_CD14:ENSG00000198585 +3,38052372,Monocyte_CD14:ENSG00000198590 +3,58669165,Monocyte_CD14:ENSG00000198643 +3,58677404,Monocyte_CD14:ENSG00000198643 +3,193671601,Monocyte_CD14:ENSG00000198836 +3,193700989,Monocyte_CD14:ENSG00000198836 +3,150529604,Monocyte_CD14:ENSG00000198843 +3,150586481,Monocyte_CD14:ENSG00000198843 +3,108522340,Monocyte_CD14:ENSG00000198919 +3,123581364,Monocyte_CD14:ENSG00000206527 +3,113491436,Monocyte_CD14:ENSG00000206530 +3,32759681,Monocyte_CD14:ENSG00000206557 +3,32789917,Monocyte_CD14:ENSG00000206557 +3,32846000,Monocyte_CD14:ENSG00000206557 +3,32876743,Monocyte_CD14:ENSG00000206557 +3,32904734,Monocyte_CD14:ENSG00000206557 +3,15510484,Monocyte_CD14:ENSG00000206561 +3,15510808,Monocyte_CD14:ENSG00000206561 +3,15427494,Monocyte_CD14:ENSG00000206562 +3,10107696,Monocyte_CD14:ENSG00000206567 +3,9388058,Monocyte_CD14:ENSG00000206573 +3,45689445,Monocyte_CD14:ENSG00000211456 +3,196318023,Monocyte_CD14:ENSG00000213123 +3,196344961,Monocyte_CD14:ENSG00000213123 +3,160314493,Monocyte_CD14:ENSG00000213186 +3,160449406,Monocyte_CD14:ENSG00000213186 +3,52885431,Monocyte_CD14:ENSG00000213533 +3,48685869,Monocyte_CD14:ENSG00000213672 +3,9795155,Monocyte_CD14:ENSG00000214021 +3,102770773,Monocyte_CD14:ENSG00000214407 +3,50295266,Monocyte_CD14:ENSG00000214706 +3,172595478,Monocyte_CD14:ENSG00000223387 +3,46302202,Monocyte_CD14:ENSG00000223552 +3,40457354,Monocyte_CD14:ENSG00000223797 +3,15253651,Monocyte_CD14:ENSG00000224660 +3,24503769,Monocyte_CD14:ENSG00000224822 +3,21529638,Monocyte_CD14:ENSG00000225542 +3,42775379,Monocyte_CD14:ENSG00000225611 +3,14945736,Monocyte_CD14:ENSG00000225733 +3,14946553,Monocyte_CD14:ENSG00000225733 +3,8542606,Monocyte_CD14:ENSG00000227110 +3,75744075,Monocyte_CD14:ENSG00000227124 +3,197103084,Monocyte_CD14:ENSG00000228109 +3,195628430,Monocyte_CD14:ENSG00000229178 +3,152050460,Monocyte_CD14:ENSG00000229619 +3,196886812,Monocyte_CD14:ENSG00000230732 +3,10276546,Monocyte_CD14:ENSG00000231177 +3,20186517,Monocyte_CD14:ENSG00000231304 +3,8516310,Monocyte_CD14:ENSG00000231401 +3,194573780,Monocyte_CD14:ENSG00000231770 +3,196632439,Monocyte_CD14:ENSG00000232065 +3,42524878,Monocyte_CD14:ENSG00000232354 +3,188859904,Monocyte_CD14:ENSG00000234076 +3,4814550,Monocyte_CD14:ENSG00000235978 +3,136862055,Monocyte_CD14:ENSG00000239213 +3,64012220,Monocyte_CD14:ENSG00000239653 +3,150707915,Monocyte_CD14:ENSG00000240137 +3,10276546,Monocyte_CD14:ENSG00000240288 +3,10279867,Monocyte_CD14:ENSG00000240288 +3,10282120,Monocyte_CD14:ENSG00000240288 +3,156810842,Monocyte_CD14:ENSG00000240875 +3,156816792,Monocyte_CD14:ENSG00000240875 +3,72096364,Monocyte_CD14:ENSG00000241163 +3,72099389,Monocyte_CD14:ENSG00000241163 +3,72100501,Monocyte_CD14:ENSG00000241163 +3,126788035,Monocyte_CD14:ENSG00000241288 +3,9780230,Monocyte_CD14:ENSG00000241553 +3,9793095,Monocyte_CD14:ENSG00000241553 +3,9795155,Monocyte_CD14:ENSG00000241553 +3,71569806,Monocyte_CD14:ENSG00000242094 +3,75802317,Monocyte_CD14:ENSG00000242516 +3,115097031,Monocyte_CD14:ENSG00000242767 +3,149961361,Monocyte_CD14:ENSG00000242791 +3,158454616,Monocyte_CD14:ENSG00000243150 +3,157175015,Monocyte_CD14:ENSG00000243176 +3,156672158,Monocyte_CD14:ENSG00000243926 +3,156684649,Monocyte_CD14:ENSG00000243926 +3,42775379,Monocyte_CD14:ENSG00000244607 +3,52239104,Monocyte_CD14:ENSG00000247596 +3,52443850,Monocyte_CD14:ENSG00000247596 +3,139449446,Monocyte_CD14:ENSG00000248932 +3,130130636,Monocyte_CD14:ENSG00000249846 +3,131360984,Monocyte_CD14:ENSG00000250608 +3,10115684,Monocyte_CD14:ENSG00000254999 +3,58276014,Monocyte_CD14:ENSG00000255154 +3,58896365,Monocyte_CD14:ENSG00000255154 +3,73005337,Monocyte_CD14:ENSG00000255423 +3,101632752,Monocyte_CD14:ENSG00000256628 +3,51396784,Monocyte_CD14:ENSG00000259956 +3,160801930,Monocyte_CD14:ENSG00000260572 +3,128747220,Monocyte_CD14:ENSG00000261159 +3,32107837,Monocyte_CD14:ENSG00000261572 +3,20186517,Monocyte_CD14:ENSG00000261734 +3,143066571,Monocyte_CD14:ENSG00000268129 +3,36300090,Monocyte_CD14:ENSG00000270194 +3,37489487,Monocyte_CD14:ENSG00000270194 +3,7606725,Monocyte_CD14:ENSG00000270207 +3,7639279,Monocyte_CD14:ENSG00000270207 +3,188151923,Monocyte_CD14:ENSG00000270959 +3,33839082,Monocyte_CD14:ENSG00000271643 +3,53872486,Monocyte_CD14:ENSG00000271976 +3,36924576,Monocyte_CD14:ENSG00000271993 +3,44721338,Monocyte_CD14:ENSG00000272077 +3,57570427,Monocyte_CD14:ENSG00000272146 +3,58320304,Monocyte_CD14:ENSG00000272182 +3,57015555,Monocyte_CD14:ENSG00000272202 +3,58491553,Monocyte_CD14:ENSG00000272360 +3,11509527,Monocyte_CD14:ENSG00000272483 +3,16391353,Monocyte_CD14:ENSG00000272529 +3,53001588,Monocyte_CD14:ENSG00000272573 +3,75369447,Monocyte_CD14:ENSG00000272690 +3,76030683,Monocyte_CD14:ENSG00000272690 +3,122434441,Monocyte_CD14:ENSG00000272758 +3,122457391,Monocyte_CD14:ENSG00000272758 +3,122467105,Monocyte_CD14:ENSG00000272758 +3,119322664,Monocyte_CD14:ENSG00000272967 +3,184706826,Monocyte_CD14:ENSG00000272970 +3,122833672,Monocyte_CD14:ENSG00000273033 +3,50867211,Monocyte_CD14:ENSG00000273356 +3,136862055,Monocyte_CD14:ENSG00000273486 +3,72083124,Monocyte_CD14:ENSG00000276471 +3,71623515,Monocyte_CD14:ENSG00000277855 +3,63911539,Monocyte_CD14:ENSG00000280620 +3,40317514,Monocyte_CD14:ENSG00000280739 +3,159794900,Monocyte_CD14:ENSG00000283154 +3,63909627,Monocyte_CD14:ENSG00000285399 +3,11219440,Monocyte_CD14:ENSG00000285906 +3,11225246,Monocyte_CD14:ENSG00000285906 +3,187753401,Monocyte_CD14:ENSG00000285938 +3,4361853,Monocyte_CD14:ENSG00000286579 +3,101632752,Monocyte_CD14:ENSG00000286699 +3,101692131,Monocyte_CD14:ENSG00000286699 +3,197709814,Monocyte_CD14:ENSG00000286909 +3,128880548,Monocyte_CD14:ENSG00000287110 +3,156535800,Monocyte_CD14:ENSG00000287916 +20,50860612,Monocyte_CD14:ENSG00000000419 +20,52630795,Monocyte_CD14:ENSG00000020256 +20,56413016,Monocyte_CD14:ENSG00000022277 +20,44960400,Monocyte_CD14:ENSG00000025772 +20,62817854,Monocyte_CD14:ENSG00000060491 +20,45892598,Monocyte_CD14:ENSG00000064601 +20,45893366,Monocyte_CD14:ENSG00000064601 +20,45958547,Monocyte_CD14:ENSG00000064601 +20,33364188,Monocyte_CD14:ENSG00000078699 +20,34338530,Monocyte_CD14:ENSG00000078747 +20,34764086,Monocyte_CD14:ENSG00000078804 +20,36983292,Monocyte_CD14:ENSG00000080839 +20,58951162,Monocyte_CD14:ENSG00000087460 +20,58979312,Monocyte_CD14:ENSG00000087460 +20,58997559,Monocyte_CD14:ENSG00000087460 +20,59725189,Monocyte_CD14:ENSG00000087495 +20,56413016,Monocyte_CD14:ENSG00000087589 +20,35106454,Monocyte_CD14:ENSG00000088298 +20,6007718,Monocyte_CD14:ENSG00000088766 +20,3434919,Monocyte_CD14:ENSG00000088812 +20,4152017,Monocyte_CD14:ENSG00000088826 +20,1383824,Monocyte_CD14:ENSG00000088832 +20,1391742,Monocyte_CD14:ENSG00000088832 +20,1429938,Monocyte_CD14:ENSG00000088833 +20,1467721,Monocyte_CD14:ENSG00000088833 +20,1475880,Monocyte_CD14:ENSG00000088833 +20,1493759,Monocyte_CD14:ENSG00000088833 +20,3407138,Monocyte_CD14:ENSG00000088854 +20,3434919,Monocyte_CD14:ENSG00000088854 +20,3847503,Monocyte_CD14:ENSG00000088888 +20,3880110,Monocyte_CD14:ENSG00000088888 +20,21345460,Monocyte_CD14:ENSG00000088930 +20,21117636,Monocyte_CD14:ENSG00000088970 +20,17983217,Monocyte_CD14:ENSG00000089006 +20,17988228,Monocyte_CD14:ENSG00000089006 +20,18050639,Monocyte_CD14:ENSG00000089006 +20,13805941,Monocyte_CD14:ENSG00000089048 +20,18565955,Monocyte_CD14:ENSG00000089050 +20,5096768,Monocyte_CD14:ENSG00000089057 +20,5096768,Monocyte_CD14:ENSG00000089063 +20,5103951,Monocyte_CD14:ENSG00000089063 +20,16507099,Monocyte_CD14:ENSG00000089177 +20,16566201,Monocyte_CD14:ENSG00000089177 +20,16570156,Monocyte_CD14:ENSG00000089177 +20,16577615,Monocyte_CD14:ENSG00000089177 +20,5872297,Monocyte_CD14:ENSG00000089195 +20,62823430,Monocyte_CD14:ENSG00000092758 +20,62830790,Monocyte_CD14:ENSG00000092758 +20,62831150,Monocyte_CD14:ENSG00000092758 +20,62832003,Monocyte_CD14:ENSG00000092758 +20,46003393,Monocyte_CD14:ENSG00000100985 +20,25245556,Monocyte_CD14:ENSG00000100994 +20,25524296,Monocyte_CD14:ENSG00000100994 +20,46104675,Monocyte_CD14:ENSG00000101017 +20,46118447,Monocyte_CD14:ENSG00000101017 +20,35324568,Monocyte_CD14:ENSG00000101019 +20,43611025,Monocyte_CD14:ENSG00000101052 +20,36444238,Monocyte_CD14:ENSG00000101079 +20,36605789,Monocyte_CD14:ENSG00000101084 +20,51525285,Monocyte_CD14:ENSG00000101096 +20,44967618,Monocyte_CD14:ENSG00000101109 +20,44991940,Monocyte_CD14:ENSG00000101109 +20,45015390,Monocyte_CD14:ENSG00000101109 +20,56413016,Monocyte_CD14:ENSG00000101138 +20,63909914,Monocyte_CD14:ENSG00000101150 +20,58989640,Monocyte_CD14:ENSG00000101158 +20,58986361,Monocyte_CD14:ENSG00000101160 +20,58995799,Monocyte_CD14:ENSG00000101160 +20,59007902,Monocyte_CD14:ENSG00000101160 +20,59033351,Monocyte_CD14:ENSG00000101160 +20,63981192,Monocyte_CD14:ENSG00000101161 +20,63981221,Monocyte_CD14:ENSG00000101161 +20,62201296,Monocyte_CD14:ENSG00000101181 +20,62143364,Monocyte_CD14:ENSG00000101182 +20,62201387,Monocyte_CD14:ENSG00000101187 +20,62683433,Monocyte_CD14:ENSG00000101188 +20,62710120,Monocyte_CD14:ENSG00000101188 +20,62727649,Monocyte_CD14:ENSG00000101188 +20,62735266,Monocyte_CD14:ENSG00000101188 +20,62739833,Monocyte_CD14:ENSG00000101188 +20,62794234,Monocyte_CD14:ENSG00000101189 +20,62832003,Monocyte_CD14:ENSG00000101190 +20,62954827,Monocyte_CD14:ENSG00000101194 +20,63521166,Monocyte_CD14:ENSG00000101213 +20,3753520,Monocyte_CD14:ENSG00000101220 +20,3765423,Monocyte_CD14:ENSG00000101220 +20,3777779,Monocyte_CD14:ENSG00000101224 +20,3807420,Monocyte_CD14:ENSG00000101224 +20,3808681,Monocyte_CD14:ENSG00000101224 +20,3937049,Monocyte_CD14:ENSG00000101236 +20,4067440,Monocyte_CD14:ENSG00000101236 +20,4082953,Monocyte_CD14:ENSG00000101236 +20,4083215,Monocyte_CD14:ENSG00000101236 +20,4089509,Monocyte_CD14:ENSG00000101236 +20,4090302,Monocyte_CD14:ENSG00000101236 +20,63741726,Monocyte_CD14:ENSG00000101246 +20,13805941,Monocyte_CD14:ENSG00000101247 +20,372003,Monocyte_CD14:ENSG00000101255 +20,379418,Monocyte_CD14:ENSG00000101255 +20,4777151,Monocyte_CD14:ENSG00000101265 +20,4815175,Monocyte_CD14:ENSG00000101265 +20,5161117,Monocyte_CD14:ENSG00000101290 +20,5187106,Monocyte_CD14:ENSG00000101290 +20,31511413,Monocyte_CD14:ENSG00000101294 +20,1529786,Monocyte_CD14:ENSG00000101307 +20,1565561,Monocyte_CD14:ENSG00000101307 +20,1610124,Monocyte_CD14:ENSG00000101307 +20,18576635,Monocyte_CD14:ENSG00000101310 +20,18910639,Monocyte_CD14:ENSG00000101310 +20,32055047,Monocyte_CD14:ENSG00000101336 +20,32143937,Monocyte_CD14:ENSG00000101337 +20,19217944,Monocyte_CD14:ENSG00000101343 +20,36942292,Monocyte_CD14:ENSG00000101347 +20,36966170,Monocyte_CD14:ENSG00000101347 +20,37091315,Monocyte_CD14:ENSG00000101347 +20,37281321,Monocyte_CD14:ENSG00000101347 +20,2628583,Monocyte_CD14:ENSG00000101361 +20,2652650,Monocyte_CD14:ENSG00000101361 +20,2652752,Monocyte_CD14:ENSG00000101361 +20,2663761,Monocyte_CD14:ENSG00000101365 +20,10475837,Monocyte_CD14:ENSG00000101384 +20,38094351,Monocyte_CD14:ENSG00000101407 +20,38094351,Monocyte_CD14:ENSG00000101413 +20,33684395,Monocyte_CD14:ENSG00000101417 +20,33775731,Monocyte_CD14:ENSG00000101421 +20,33810489,Monocyte_CD14:ENSG00000101421 +20,38295151,Monocyte_CD14:ENSG00000101425 +20,38304245,Monocyte_CD14:ENSG00000101425 +20,38304396,Monocyte_CD14:ENSG00000101425 +20,38312773,Monocyte_CD14:ENSG00000101425 +20,38316347,Monocyte_CD14:ENSG00000101425 +20,38332065,Monocyte_CD14:ENSG00000101425 +20,38338129,Monocyte_CD14:ENSG00000101425 +20,23632100,Monocyte_CD14:ENSG00000101439 +20,38777822,Monocyte_CD14:ENSG00000101442 +20,38811403,Monocyte_CD14:ENSG00000101445 +20,45793734,Monocyte_CD14:ENSG00000101457 +20,34077066,Monocyte_CD14:ENSG00000101460 +20,45833168,Monocyte_CD14:ENSG00000101470 +20,45895460,Monocyte_CD14:ENSG00000101473 +20,25025312,Monocyte_CD14:ENSG00000101474 +20,37009128,Monocyte_CD14:ENSG00000118705 +20,56359011,Monocyte_CD14:ENSG00000124098 +20,56381008,Monocyte_CD14:ENSG00000124098 +20,56413016,Monocyte_CD14:ENSG00000124098 +20,45798582,Monocyte_CD14:ENSG00000124104 +20,45793734,Monocyte_CD14:ENSG00000124116 +20,44518718,Monocyte_CD14:ENSG00000124120 +20,48602286,Monocyte_CD14:ENSG00000124126 +20,48761577,Monocyte_CD14:ENSG00000124126 +20,46016954,Monocyte_CD14:ENSG00000124140 +20,45344042,Monocyte_CD14:ENSG00000124145 +20,47432894,Monocyte_CD14:ENSG00000124151 +20,45418853,Monocyte_CD14:ENSG00000124155 +20,58423147,Monocyte_CD14:ENSG00000124164 +20,59028710,Monocyte_CD14:ENSG00000124172 +20,41548087,Monocyte_CD14:ENSG00000124177 +20,41830234,Monocyte_CD14:ENSG00000124181 +20,44076545,Monocyte_CD14:ENSG00000124191 +20,43460871,Monocyte_CD14:ENSG00000124193 +20,43464483,Monocyte_CD14:ENSG00000124193 +20,49273008,Monocyte_CD14:ENSG00000124198 +20,49235382,Monocyte_CD14:ENSG00000124201 +20,49273008,Monocyte_CD14:ENSG00000124201 +20,49076510,Monocyte_CD14:ENSG00000124207 +20,49076510,Monocyte_CD14:ENSG00000124214 +20,58703394,Monocyte_CD14:ENSG00000124222 +20,57750396,Monocyte_CD14:ENSG00000124225 +20,49943010,Monocyte_CD14:ENSG00000124226 +20,49294069,Monocyte_CD14:ENSG00000124228 +20,57610823,Monocyte_CD14:ENSG00000124256 +20,64080106,Monocyte_CD14:ENSG00000125510 +20,63521166,Monocyte_CD14:ENSG00000125534 +20,5609746,Monocyte_CD14:ENSG00000125772 +20,5654029,Monocyte_CD14:ENSG00000125772 +20,5675520,Monocyte_CD14:ENSG00000125772 +20,5688068,Monocyte_CD14:ENSG00000125772 +20,1325648,Monocyte_CD14:ENSG00000125775 +20,3887193,Monocyte_CD14:ENSG00000125779 +20,3901494,Monocyte_CD14:ENSG00000125779 +20,25875725,Monocyte_CD14:ENSG00000125804 +20,23079620,Monocyte_CD14:ENSG00000125810 +20,23084173,Monocyte_CD14:ENSG00000125810 +20,23155774,Monocyte_CD14:ENSG00000125810 +20,23225278,Monocyte_CD14:ENSG00000125810 +20,23349057,Monocyte_CD14:ENSG00000125812 +20,23438085,Monocyte_CD14:ENSG00000125814 +20,3808681,Monocyte_CD14:ENSG00000125817 +20,1160083,Monocyte_CD14:ENSG00000125818 +20,18495188,Monocyte_CD14:ENSG00000125821 +20,18585766,Monocyte_CD14:ENSG00000125821 +20,410381,Monocyte_CD14:ENSG00000125826 +20,8022397,Monocyte_CD14:ENSG00000125827 +20,8025631,Monocyte_CD14:ENSG00000125827 +20,8051367,Monocyte_CD14:ENSG00000125827 +20,2470765,Monocyte_CD14:ENSG00000125835 +20,2477142,Monocyte_CD14:ENSG00000125835 +20,3846641,Monocyte_CD14:ENSG00000125843 +20,17648517,Monocyte_CD14:ENSG00000125844 +20,17676106,Monocyte_CD14:ENSG00000125844 +20,10434849,Monocyte_CD14:ENSG00000125863 +20,17615510,Monocyte_CD14:ENSG00000125868 +20,17648517,Monocyte_CD14:ENSG00000125868 +20,17734412,Monocyte_CD14:ENSG00000125868 +20,9516741,Monocyte_CD14:ENSG00000125869 +20,9523821,Monocyte_CD14:ENSG00000125869 +20,16507099,Monocyte_CD14:ENSG00000125870 +20,17983217,Monocyte_CD14:ENSG00000125871 +20,483282,Monocyte_CD14:ENSG00000125875 +20,3213247,Monocyte_CD14:ENSG00000125877 +20,3213332,Monocyte_CD14:ENSG00000125877 +20,3213527,Monocyte_CD14:ENSG00000125877 +20,830311,Monocyte_CD14:ENSG00000125898 +20,851698,Monocyte_CD14:ENSG00000125898 +20,881524,Monocyte_CD14:ENSG00000125898 +20,1562333,Monocyte_CD14:ENSG00000125900 +20,34443471,Monocyte_CD14:ENSG00000125971 +20,35549038,Monocyte_CD14:ENSG00000125991 +20,35502269,Monocyte_CD14:ENSG00000126001 +20,35244398,Monocyte_CD14:ENSG00000126005 +20,38423218,Monocyte_CD14:ENSG00000129988 +20,63571161,Monocyte_CD14:ENSG00000130589 +20,62277003,Monocyte_CD14:ENSG00000130703 +20,36255034,Monocyte_CD14:ENSG00000131043 +20,35778613,Monocyte_CD14:ENSG00000131051 +20,34862238,Monocyte_CD14:ENSG00000131067 +20,34862238,Monocyte_CD14:ENSG00000131069 +20,5103951,Monocyte_CD14:ENSG00000132646 +20,19741040,Monocyte_CD14:ENSG00000132669 +20,19756622,Monocyte_CD14:ENSG00000132669 +20,19762760,Monocyte_CD14:ENSG00000132669 +20,19874650,Monocyte_CD14:ENSG00000132669 +20,19895436,Monocyte_CD14:ENSG00000132669 +20,37697542,Monocyte_CD14:ENSG00000132792 +20,57476491,Monocyte_CD14:ENSG00000132819 +20,44209910,Monocyte_CD14:ENSG00000132823 +20,44214870,Monocyte_CD14:ENSG00000132823 +20,44521668,Monocyte_CD14:ENSG00000132824 +20,59942511,Monocyte_CD14:ENSG00000132825 +20,60227056,Monocyte_CD14:ENSG00000132825 +20,10570725,Monocyte_CD14:ENSG00000149346 +20,18135401,Monocyte_CD14:ENSG00000149474 +20,32678365,Monocyte_CD14:ENSG00000149600 +20,32753191,Monocyte_CD14:ENSG00000149600 +20,36773873,Monocyte_CD14:ENSG00000149636 +20,64262294,Monocyte_CD14:ENSG00000149656 +20,62132639,Monocyte_CD14:ENSG00000149657 +20,62410665,Monocyte_CD14:ENSG00000149679 +20,24939300,Monocyte_CD14:ENSG00000154930 +20,25057595,Monocyte_CD14:ENSG00000154930 +20,25057848,Monocyte_CD14:ENSG00000154930 +20,49599029,Monocyte_CD14:ENSG00000158470 +20,49626139,Monocyte_CD14:ENSG00000158470 +20,44885569,Monocyte_CD14:ENSG00000166913 +20,44885739,Monocyte_CD14:ENSG00000166913 +20,35951674,Monocyte_CD14:ENSG00000171222 +20,31728811,Monocyte_CD14:ENSG00000171552 +20,64084195,Monocyte_CD14:ENSG00000171695 +20,64062966,Monocyte_CD14:ENSG00000171703 +20,62263043,Monocyte_CD14:ENSG00000171858 +20,62388438,Monocyte_CD14:ENSG00000171858 +20,4687183,Monocyte_CD14:ENSG00000171867 +20,53569275,Monocyte_CD14:ENSG00000171940 +20,53570298,Monocyte_CD14:ENSG00000171940 +20,5751065,Monocyte_CD14:ENSG00000171984 +20,5773219,Monocyte_CD14:ENSG00000171984 +20,5812923,Monocyte_CD14:ENSG00000171984 +20,50290430,Monocyte_CD14:ENSG00000172216 +20,50338887,Monocyte_CD14:ENSG00000172216 +20,13005945,Monocyte_CD14:ENSG00000172296 +20,45548640,Monocyte_CD14:ENSG00000175063 +20,60057926,Monocyte_CD14:ENSG00000176659 +20,49235382,Monocyte_CD14:ENSG00000177410 +20,49253969,Monocyte_CD14:ENSG00000177410 +20,49278632,Monocyte_CD14:ENSG00000177410 +20,49291983,Monocyte_CD14:ENSG00000177410 +20,49324901,Monocyte_CD14:ENSG00000177410 +20,23112063,Monocyte_CD14:ENSG00000178726 +20,61719332,Monocyte_CD14:ENSG00000179253 +20,61831498,Monocyte_CD14:ENSG00000179253 +20,33667427,Monocyte_CD14:ENSG00000182584 +20,8427897,Monocyte_CD14:ENSG00000182621 +20,8431609,Monocyte_CD14:ENSG00000182621 +20,8482131,Monocyte_CD14:ENSG00000182621 +20,3157634,Monocyte_CD14:ENSG00000185019 +20,20676963,Monocyte_CD14:ENSG00000188559 +20,20747276,Monocyte_CD14:ENSG00000188559 +20,20768295,Monocyte_CD14:ENSG00000188559 +20,59942511,Monocyte_CD14:ENSG00000196074 +20,1475880,Monocyte_CD14:ENSG00000196209 +20,1493759,Monocyte_CD14:ENSG00000196209 +20,60057926,Monocyte_CD14:ENSG00000196227 +20,60227056,Monocyte_CD14:ENSG00000196227 +20,50579747,Monocyte_CD14:ENSG00000196396 +20,47661506,Monocyte_CD14:ENSG00000196562 +20,47678084,Monocyte_CD14:ENSG00000196562 +20,47727572,Monocyte_CD14:ENSG00000196562 +20,47727777,Monocyte_CD14:ENSG00000196562 +20,38431106,Monocyte_CD14:ENSG00000196756 +20,38750606,Monocyte_CD14:ENSG00000196756 +20,44660575,Monocyte_CD14:ENSG00000196839 +20,63741460,Monocyte_CD14:ENSG00000197114 +20,32604555,Monocyte_CD14:ENSG00000197183 +20,63641058,Monocyte_CD14:ENSG00000197457 +20,25202012,Monocyte_CD14:ENSG00000197586 +20,53571073,Monocyte_CD14:ENSG00000197670 +20,49943010,Monocyte_CD14:ENSG00000197818 +20,45958547,Monocyte_CD14:ENSG00000198026 +20,1838634,Monocyte_CD14:ENSG00000198053 +20,1894078,Monocyte_CD14:ENSG00000198053 +20,3217022,Monocyte_CD14:ENSG00000198171 +20,46524711,Monocyte_CD14:ENSG00000198185 +20,63915596,Monocyte_CD14:ENSG00000198276 +20,34764086,Monocyte_CD14:ENSG00000198646 +20,38172419,Monocyte_CD14:ENSG00000198959 +20,64255659,Monocyte_CD14:ENSG00000203880 +20,64262294,Monocyte_CD14:ENSG00000203880 +20,50278177,Monocyte_CD14:ENSG00000203999 +20,50299198,Monocyte_CD14:ENSG00000203999 +20,45364899,Monocyte_CD14:ENSG00000204070 +20,45396063,Monocyte_CD14:ENSG00000204070 +20,40459896,Monocyte_CD14:ENSG00000204103 +20,5504148,Monocyte_CD14:ENSG00000205181 +20,31289351,Monocyte_CD14:ENSG00000205611 +20,35624405,Monocyte_CD14:ENSG00000214078 +20,35626801,Monocyte_CD14:ENSG00000214078 +20,2840754,Monocyte_CD14:ENSG00000215305 +20,2893324,Monocyte_CD14:ENSG00000215305 +20,58703394,Monocyte_CD14:ENSG00000215440 +20,44211379,Monocyte_CD14:ENSG00000223891 +20,50221010,Monocyte_CD14:ENSG00000224397 +20,50270731,Monocyte_CD14:ENSG00000224397 +20,50276405,Monocyte_CD14:ENSG00000224397 +20,50278177,Monocyte_CD14:ENSG00000224397 +20,50278382,Monocyte_CD14:ENSG00000224397 +20,50338887,Monocyte_CD14:ENSG00000224397 +20,38414850,Monocyte_CD14:ENSG00000224635 +20,23656343,Monocyte_CD14:ENSG00000225056 +20,60085031,Monocyte_CD14:ENSG00000228340 +20,60138799,Monocyte_CD14:ENSG00000228340 +20,60227056,Monocyte_CD14:ENSG00000228340 +20,3887193,Monocyte_CD14:ENSG00000229539 +20,23187963,Monocyte_CD14:ENSG00000230387 +20,5499302,Monocyte_CD14:ENSG00000230563 +20,33806390,Monocyte_CD14:ENSG00000230753 +20,52666556,Monocyte_CD14:ENSG00000232294 +20,18507755,Monocyte_CD14:ENSG00000232388 +20,18690191,Monocyte_CD14:ENSG00000232388 +20,1946869,Monocyte_CD14:ENSG00000233896 +20,52666556,Monocyte_CD14:ENSG00000234948 +20,34443471,Monocyte_CD14:ENSG00000236388 +20,35283858,Monocyte_CD14:ENSG00000242372 +20,35292343,Monocyte_CD14:ENSG00000242372 +20,45396063,Monocyte_CD14:ENSG00000244274 +20,45407087,Monocyte_CD14:ENSG00000244274 +20,50115960,Monocyte_CD14:ENSG00000244687 +20,32856374,Monocyte_CD14:ENSG00000260257 +20,63155513,Monocyte_CD14:ENSG00000268858 +20,63860664,Monocyte_CD14:ENSG00000268858 +20,23632100,Monocyte_CD14:ENSG00000270001 +20,10672311,Monocyte_CD14:ENSG00000270792 +20,651860,Monocyte_CD14:ENSG00000271303 +20,653324,Monocyte_CD14:ENSG00000271303 +20,18794220,Monocyte_CD14:ENSG00000273148 +20,62386309,Monocyte_CD14:ENSG00000273619 +20,62929354,Monocyte_CD14:ENSG00000273759 +20,46517414,Monocyte_CD14:ENSG00000273893 +20,60085031,Monocyte_CD14:ENSG00000276093 +20,1894078,Monocyte_CD14:ENSG00000276649 +20,1894139,Monocyte_CD14:ENSG00000276649 +20,25245556,Monocyte_CD14:ENSG00000276952 +20,62585130,Monocyte_CD14:ENSG00000277496 +20,48813028,Monocyte_CD14:ENSG00000278231 +20,4761753,Monocyte_CD14:ENSG00000278595 +20,34067011,Monocyte_CD14:ENSG00000285230 +20,44869024,Monocyte_CD14:ENSG00000286100 +20,1838634,Monocyte_CD14:ENSG00000286288 +20,1894078,Monocyte_CD14:ENSG00000286288 +20,25935089,Monocyte_CD14:ENSG00000287569 +2,201790118,Monocyte_CD14:ENSG00000003393 +2,201319442,Monocyte_CD14:ENSG00000003400 +2,201139094,Monocyte_CD14:ENSG00000003402 +2,201139467,Monocyte_CD14:ENSG00000003402 +2,201236623,Monocyte_CD14:ENSG00000003402 +2,37172137,Monocyte_CD14:ENSG00000003509 +2,75709809,Monocyte_CD14:ENSG00000005436 +2,241271369,Monocyte_CD14:ENSG00000006607 +2,241356233,Monocyte_CD14:ENSG00000006607 +2,241417472,Monocyte_CD14:ENSG00000006607 +2,37090314,Monocyte_CD14:ENSG00000008869 +2,65134388,Monocyte_CD14:ENSG00000011523 +2,63118250,Monocyte_CD14:ENSG00000014641 +2,218363885,Monocyte_CD14:ENSG00000018280 +2,218395121,Monocyte_CD14:ENSG00000018280 +2,177349806,Monocyte_CD14:ENSG00000018510 +2,32678481,Monocyte_CD14:ENSG00000018699 +2,118883186,Monocyte_CD14:ENSG00000019169 +2,118935048,Monocyte_CD14:ENSG00000019169 +2,118952250,Monocyte_CD14:ENSG00000019169 +2,118954506,Monocyte_CD14:ENSG00000019169 +2,118994642,Monocyte_CD14:ENSG00000019169 +2,206134381,Monocyte_CD14:ENSG00000023228 +2,57944085,Monocyte_CD14:ENSG00000028116 +2,3377790,Monocyte_CD14:ENSG00000032389 +2,84882448,Monocyte_CD14:ENSG00000034510 +2,84906092,Monocyte_CD14:ENSG00000034510 +2,84913990,Monocyte_CD14:ENSG00000034510 +2,264019,Monocyte_CD14:ENSG00000035115 +2,70175471,Monocyte_CD14:ENSG00000035141 +2,224523387,Monocyte_CD14:ENSG00000036257 +2,85344587,Monocyte_CD14:ENSG00000042445 +2,85382171,Monocyte_CD14:ENSG00000042493 +2,85402143,Monocyte_CD14:ENSG00000042493 +2,85402207,Monocyte_CD14:ENSG00000042493 +2,85405729,Monocyte_CD14:ENSG00000042493 +2,85407215,Monocyte_CD14:ENSG00000042493 +2,85700576,Monocyte_CD14:ENSG00000042493 +2,159835318,Monocyte_CD14:ENSG00000054219 +2,159910991,Monocyte_CD14:ENSG00000054219 +2,160024282,Monocyte_CD14:ENSG00000054219 +2,202313603,Monocyte_CD14:ENSG00000055044 +2,37154325,Monocyte_CD14:ENSG00000055332 +2,70086436,Monocyte_CD14:ENSG00000059728 +2,201277115,Monocyte_CD14:ENSG00000064012 +2,201319442,Monocyte_CD14:ENSG00000064012 +2,189784079,Monocyte_CD14:ENSG00000064933 +2,187465567,Monocyte_CD14:ENSG00000064989 +2,196966917,Monocyte_CD14:ENSG00000065413 +2,186366636,Monocyte_CD14:ENSG00000065548 +2,238381130,Monocyte_CD14:ENSG00000065802 +2,74159442,Monocyte_CD14:ENSG00000065911 +2,74159819,Monocyte_CD14:ENSG00000065911 +2,230452812,Monocyte_CD14:ENSG00000067066 +2,230457608,Monocyte_CD14:ENSG00000067066 +2,230463459,Monocyte_CD14:ENSG00000067066 +2,230473441,Monocyte_CD14:ENSG00000067066 +2,239223512,Monocyte_CD14:ENSG00000068024 +2,86101060,Monocyte_CD14:ENSG00000068654 +2,19905486,Monocyte_CD14:ENSG00000068697 +2,46975532,Monocyte_CD14:ENSG00000068724 +2,45541067,Monocyte_CD14:ENSG00000068784 +2,45616531,Monocyte_CD14:ENSG00000068784 +2,53969635,Monocyte_CD14:ENSG00000068878 +2,53904358,Monocyte_CD14:ENSG00000068912 +2,54493412,Monocyte_CD14:ENSG00000068912 +2,105797484,Monocyte_CD14:ENSG00000071051 +2,101466471,Monocyte_CD14:ENSG00000071054 +2,101689413,Monocyte_CD14:ENSG00000071054 +2,98747469,Monocyte_CD14:ENSG00000071073 +2,101026513,Monocyte_CD14:ENSG00000071082 +2,171522383,Monocyte_CD14:ENSG00000071967 +2,171523829,Monocyte_CD14:ENSG00000071967 +2,169103912,Monocyte_CD14:ENSG00000073737 +2,71331977,Monocyte_CD14:ENSG00000075292 +2,70825032,Monocyte_CD14:ENSG00000075340 +2,143129250,Monocyte_CD14:ENSG00000075884 +2,143404536,Monocyte_CD14:ENSG00000075884 +2,143438539,Monocyte_CD14:ENSG00000075884 +2,135895289,Monocyte_CD14:ENSG00000076003 +2,182784973,Monocyte_CD14:ENSG00000077232 +2,171778204,Monocyte_CD14:ENSG00000077380 +2,216115535,Monocyte_CD14:ENSG00000079246 +2,218023512,Monocyte_CD14:ENSG00000079308 +2,15591481,Monocyte_CD14:ENSG00000079785 +2,227242639,Monocyte_CD14:ENSG00000081052 +2,196141920,Monocyte_CD14:ENSG00000081320 +2,196205442,Monocyte_CD14:ENSG00000081320 +2,196273438,Monocyte_CD14:ENSG00000081320 +2,200757442,Monocyte_CD14:ENSG00000082153 +2,24456872,Monocyte_CD14:ENSG00000084676 +2,26010797,Monocyte_CD14:ENSG00000084733 +2,26232941,Monocyte_CD14:ENSG00000084754 +2,26244597,Monocyte_CD14:ENSG00000084754 +2,26246347,Monocyte_CD14:ENSG00000084754 +2,27092384,Monocyte_CD14:ENSG00000084764 +2,223938856,Monocyte_CD14:ENSG00000085449 +2,223945459,Monocyte_CD14:ENSG00000085449 +2,55269225,Monocyte_CD14:ENSG00000085760 +2,233566769,Monocyte_CD14:ENSG00000085982 +2,119582491,Monocyte_CD14:ENSG00000088179 +2,117832335,Monocyte_CD14:ENSG00000088205 +2,32264782,Monocyte_CD14:ENSG00000091106 +2,172281057,Monocyte_CD14:ENSG00000091409 +2,172428157,Monocyte_CD14:ENSG00000091409 +2,172459490,Monocyte_CD14:ENSG00000091409 +2,173053910,Monocyte_CD14:ENSG00000091436 +2,173060323,Monocyte_CD14:ENSG00000091436 +2,173224878,Monocyte_CD14:ENSG00000091436 +2,47403074,Monocyte_CD14:ENSG00000095002 +2,206097673,Monocyte_CD14:ENSG00000114942 +2,73948197,Monocyte_CD14:ENSG00000114956 +2,74159819,Monocyte_CD14:ENSG00000114978 +2,112630196,Monocyte_CD14:ENSG00000114999 +2,208258215,Monocyte_CD14:ENSG00000115020 +2,231448257,Monocyte_CD14:ENSG00000115053 +2,113770773,Monocyte_CD14:ENSG00000115084 +2,113972369,Monocyte_CD14:ENSG00000115091 +2,114015508,Monocyte_CD14:ENSG00000115091 +2,119263743,Monocyte_CD14:ENSG00000115107 +2,119290627,Monocyte_CD14:ENSG00000115107 +2,119070528,Monocyte_CD14:ENSG00000115109 +2,120161375,Monocyte_CD14:ENSG00000115109 +2,121134827,Monocyte_CD14:ENSG00000115112 +2,121197956,Monocyte_CD14:ENSG00000115112 +2,121291805,Monocyte_CD14:ENSG00000115112 +2,24046758,Monocyte_CD14:ENSG00000115128 +2,24505281,Monocyte_CD14:ENSG00000115128 +2,23689377,Monocyte_CD14:ENSG00000115129 +2,24063319,Monocyte_CD14:ENSG00000115129 +2,24109152,Monocyte_CD14:ENSG00000115129 +2,24124223,Monocyte_CD14:ENSG00000115129 +2,25158279,Monocyte_CD14:ENSG00000115137 +2,25111413,Monocyte_CD14:ENSG00000115138 +2,25158279,Monocyte_CD14:ENSG00000115138 +2,25170853,Monocyte_CD14:ENSG00000115138 +2,25170885,Monocyte_CD14:ENSG00000115138 +2,152038893,Monocyte_CD14:ENSG00000115145 +2,26492641,Monocyte_CD14:ENSG00000115155 +2,156464828,Monocyte_CD14:ENSG00000115159 +2,157359326,Monocyte_CD14:ENSG00000115165 +2,158279891,Monocyte_CD14:ENSG00000115183 +2,27428508,Monocyte_CD14:ENSG00000115216 +2,181459039,Monocyte_CD14:ENSG00000115232 +2,27454824,Monocyte_CD14:ENSG00000115234 +2,53738684,Monocyte_CD14:ENSG00000115239 +2,27454824,Monocyte_CD14:ENSG00000115241 +2,162238769,Monocyte_CD14:ENSG00000115267 +2,162277580,Monocyte_CD14:ENSG00000115267 +2,162359145,Monocyte_CD14:ENSG00000115271 +2,74455385,Monocyte_CD14:ENSG00000115274 +2,28960433,Monocyte_CD14:ENSG00000115295 +2,29002209,Monocyte_CD14:ENSG00000115295 +2,29015770,Monocyte_CD14:ENSG00000115295 +2,54560455,Monocyte_CD14:ENSG00000115306 +2,74455385,Monocyte_CD14:ENSG00000115307 +2,55011293,Monocyte_CD14:ENSG00000115310 +2,55019729,Monocyte_CD14:ENSG00000115310 +2,55071191,Monocyte_CD14:ENSG00000115310 +2,55158440,Monocyte_CD14:ENSG00000115310 +2,74553123,Monocyte_CD14:ENSG00000115318 +2,74553123,Monocyte_CD14:ENSG00000115325 +2,74958729,Monocyte_CD14:ENSG00000115350 +2,74979847,Monocyte_CD14:ENSG00000115350 +2,55409706,Monocyte_CD14:ENSG00000115355 +2,210472745,Monocyte_CD14:ENSG00000115365 +2,215500773,Monocyte_CD14:ENSG00000115414 +2,215677690,Monocyte_CD14:ENSG00000115414 +2,215678486,Monocyte_CD14:ENSG00000115414 +2,215733597,Monocyte_CD14:ENSG00000115414 +2,190967766,Monocyte_CD14:ENSG00000115419 +2,216619501,Monocyte_CD14:ENSG00000115457 +2,216623852,Monocyte_CD14:ENSG00000115457 +2,85328154,Monocyte_CD14:ENSG00000115459 +2,61537939,Monocyte_CD14:ENSG00000115464 +2,61876192,Monocyte_CD14:ENSG00000115484 +2,61891379,Monocyte_CD14:ENSG00000115484 +2,85546531,Monocyte_CD14:ENSG00000115486 +2,197530375,Monocyte_CD14:ENSG00000115524 +2,85869363,Monocyte_CD14:ENSG00000115525 +2,85916631,Monocyte_CD14:ENSG00000115525 +2,86072212,Monocyte_CD14:ENSG00000115525 +2,100520013,Monocyte_CD14:ENSG00000115526 +2,100520013,Monocyte_CD14:ENSG00000115539 +2,86497388,Monocyte_CD14:ENSG00000115561 +2,86592286,Monocyte_CD14:ENSG00000115561 +2,101992081,Monocyte_CD14:ENSG00000115590 +2,101996405,Monocyte_CD14:ENSG00000115590 +2,102084043,Monocyte_CD14:ENSG00000115594 +2,102295715,Monocyte_CD14:ENSG00000115594 +2,218795076,Monocyte_CD14:ENSG00000115596 +2,219067340,Monocyte_CD14:ENSG00000115649 +2,106184802,Monocyte_CD14:ENSG00000115652 +2,241315319,Monocyte_CD14:ENSG00000115677 +2,8300257,Monocyte_CD14:ENSG00000115738 +2,8303729,Monocyte_CD14:ENSG00000115738 +2,9843557,Monocyte_CD14:ENSG00000115750 +2,10399841,Monocyte_CD14:ENSG00000115756 +2,131140190,Monocyte_CD14:ENSG00000115762 +2,36838875,Monocyte_CD14:ENSG00000115808 +2,37231568,Monocyte_CD14:ENSG00000115816 +2,37259384,Monocyte_CD14:ENSG00000115825 +2,37283351,Monocyte_CD14:ENSG00000115825 +2,37325971,Monocyte_CD14:ENSG00000115825 +2,37259384,Monocyte_CD14:ENSG00000115828 +2,172036319,Monocyte_CD14:ENSG00000115840 +2,38115424,Monocyte_CD14:ENSG00000115841 +2,172042158,Monocyte_CD14:ENSG00000115844 +2,135892492,Monocyte_CD14:ENSG00000115866 +2,135968997,Monocyte_CD14:ENSG00000115866 +2,136009007,Monocyte_CD14:ENSG00000115866 +2,38699776,Monocyte_CD14:ENSG00000115875 +2,197670580,Monocyte_CD14:ENSG00000115896 +2,197804863,Monocyte_CD14:ENSG00000115896 +2,198042419,Monocyte_CD14:ENSG00000115896 +2,198106899,Monocyte_CD14:ENSG00000115896 +2,64932522,Monocyte_CD14:ENSG00000115902 +2,64991513,Monocyte_CD14:ENSG00000115902 +2,38985424,Monocyte_CD14:ENSG00000115904 +2,142911997,Monocyte_CD14:ENSG00000115919 +2,42350030,Monocyte_CD14:ENSG00000115944 +2,68133368,Monocyte_CD14:ENSG00000115946 +2,147916093,Monocyte_CD14:ENSG00000115947 +2,68363341,Monocyte_CD14:ENSG00000115956 +2,68418428,Monocyte_CD14:ENSG00000115956 +2,69681403,Monocyte_CD14:ENSG00000115977 +2,201415099,Monocyte_CD14:ENSG00000115993 +2,70131232,Monocyte_CD14:ENSG00000116001 +2,70097619,Monocyte_CD14:ENSG00000116005 +2,47789018,Monocyte_CD14:ENSG00000116062 +2,47795621,Monocyte_CD14:ENSG00000116062 +2,222624530,Monocyte_CD14:ENSG00000116120 +2,73386213,Monocyte_CD14:ENSG00000116127 +2,205682787,Monocyte_CD14:ENSG00000118257 +2,207613128,Monocyte_CD14:ENSG00000118260 +2,207254959,Monocyte_CD14:ENSG00000118263 +2,85527327,Monocyte_CD14:ENSG00000118640 +2,85580487,Monocyte_CD14:ENSG00000118640 +2,85700576,Monocyte_CD14:ENSG00000118640 +2,20683456,Monocyte_CD14:ENSG00000118961 +2,20789132,Monocyte_CD14:ENSG00000118961 +2,203145001,Monocyte_CD14:ENSG00000119004 +2,201055337,Monocyte_CD14:ENSG00000119013 +2,196799713,Monocyte_CD14:ENSG00000119041 +2,9240198,Monocyte_CD14:ENSG00000119185 +2,9301150,Monocyte_CD14:ENSG00000119185 +2,9302824,Monocyte_CD14:ENSG00000119185 +2,9368203,Monocyte_CD14:ENSG00000119185 +2,9388407,Monocyte_CD14:ENSG00000119185 +2,9407999,Monocyte_CD14:ENSG00000119185 +2,9512017,Monocyte_CD14:ENSG00000119185 +2,9423677,Monocyte_CD14:ENSG00000119203 +2,9428316,Monocyte_CD14:ENSG00000119203 +2,46581029,Monocyte_CD14:ENSG00000119729 +2,23924108,Monocyte_CD14:ENSG00000119778 +2,24053866,Monocyte_CD14:ENSG00000119782 +2,24109152,Monocyte_CD14:ENSG00000119782 +2,30113903,Monocyte_CD14:ENSG00000119801 +2,32264782,Monocyte_CD14:ENSG00000119820 +2,32284697,Monocyte_CD14:ENSG00000119820 +2,64266288,Monocyte_CD14:ENSG00000119862 +2,68354915,Monocyte_CD14:ENSG00000119865 +2,60516540,Monocyte_CD14:ENSG00000119866 +2,60532897,Monocyte_CD14:ENSG00000119866 +2,60559428,Monocyte_CD14:ENSG00000119866 +2,46603923,Monocyte_CD14:ENSG00000119878 +2,136126253,Monocyte_CD14:ENSG00000121966 +2,135010312,Monocyte_CD14:ENSG00000121988 +2,147958859,Monocyte_CD14:ENSG00000121989 +2,241090322,Monocyte_CD14:ENSG00000122085 +2,165975344,Monocyte_CD14:ENSG00000123607 +2,151291167,Monocyte_CD14:ENSG00000123609 +2,151290158,Monocyte_CD14:ENSG00000123610 +2,151364258,Monocyte_CD14:ENSG00000123610 +2,159565114,Monocyte_CD14:ENSG00000123636 +2,159648916,Monocyte_CD14:ENSG00000123636 +2,222861606,Monocyte_CD14:ENSG00000123983 +2,222968249,Monocyte_CD14:ENSG00000123983 +2,219387940,Monocyte_CD14:ENSG00000123992 +2,224379066,Monocyte_CD14:ENSG00000124019 +2,224407649,Monocyte_CD14:ENSG00000124019 +2,73827375,Monocyte_CD14:ENSG00000124356 +2,73831375,Monocyte_CD14:ENSG00000124356 +2,71062557,Monocyte_CD14:ENSG00000124357 +2,71065392,Monocyte_CD14:ENSG00000124357 +2,71071208,Monocyte_CD14:ENSG00000124357 +2,71162241,Monocyte_CD14:ENSG00000124370 +2,69899534,Monocyte_CD14:ENSG00000124380 +2,69906278,Monocyte_CD14:ENSG00000124380 +2,71071208,Monocyte_CD14:ENSG00000124383 +2,237677999,Monocyte_CD14:ENSG00000124831 +2,237739501,Monocyte_CD14:ENSG00000124831 +2,112869657,Monocyte_CD14:ENSG00000125538 +2,86930104,Monocyte_CD14:ENSG00000125551 +2,87050079,Monocyte_CD14:ENSG00000125551 +2,112588935,Monocyte_CD14:ENSG00000125611 +2,112619970,Monocyte_CD14:ENSG00000125611 +2,113235767,Monocyte_CD14:ENSG00000125618 +2,118099950,Monocyte_CD14:ENSG00000125629 +2,112545804,Monocyte_CD14:ENSG00000125630 +2,118033037,Monocyte_CD14:ENSG00000125633 +2,113185893,Monocyte_CD14:ENSG00000125637 +2,219250304,Monocyte_CD14:ENSG00000127824 +2,218259499,Monocyte_CD14:ENSG00000127837 +2,218324115,Monocyte_CD14:ENSG00000127838 +2,176389044,Monocyte_CD14:ENSG00000128654 +2,189784079,Monocyte_CD14:ENSG00000128699 +2,171894406,Monocyte_CD14:ENSG00000128708 +2,171994451,Monocyte_CD14:ENSG00000128708 +2,239996040,Monocyte_CD14:ENSG00000130414 +2,240014662,Monocyte_CD14:ENSG00000130414 +2,240027895,Monocyte_CD14:ENSG00000130414 +2,1750018,Monocyte_CD14:ENSG00000130508 +2,86195908,Monocyte_CD14:ENSG00000132305 +2,86195693,Monocyte_CD14:ENSG00000132313 +2,238141392,Monocyte_CD14:ENSG00000132330 +2,9553675,Monocyte_CD14:ENSG00000134308 +2,9762773,Monocyte_CD14:ENSG00000134308 +2,8837357,Monocyte_CD14:ENSG00000134313 +2,8837595,Monocyte_CD14:ENSG00000134313 +2,11172055,Monocyte_CD14:ENSG00000134318 +2,11688527,Monocyte_CD14:ENSG00000134324 +2,11784167,Monocyte_CD14:ENSG00000134324 +2,11784824,Monocyte_CD14:ENSG00000134324 +2,9451148,Monocyte_CD14:ENSG00000134330 +2,9476032,Monocyte_CD14:ENSG00000134330 +2,9508086,Monocyte_CD14:ENSG00000134330 +2,73237820,Monocyte_CD14:ENSG00000135617 +2,73242472,Monocyte_CD14:ENSG00000135624 +2,73107717,Monocyte_CD14:ENSG00000135631 +2,71373296,Monocyte_CD14:ENSG00000135636 +2,71451402,Monocyte_CD14:ENSG00000135636 +2,230170069,Monocyte_CD14:ENSG00000135899 +2,230178157,Monocyte_CD14:ENSG00000135899 +2,230213010,Monocyte_CD14:ENSG00000135899 +2,224884440,Monocyte_CD14:ENSG00000135905 +2,224908080,Monocyte_CD14:ENSG00000135905 +2,224940265,Monocyte_CD14:ENSG00000135905 +2,218598447,Monocyte_CD14:ENSG00000135912 +2,218571574,Monocyte_CD14:ENSG00000135913 +2,230878149,Monocyte_CD14:ENSG00000135916 +2,218363885,Monocyte_CD14:ENSG00000135926 +2,218730825,Monocyte_CD14:ENSG00000135929 +2,218733318,Monocyte_CD14:ENSG00000135929 +2,232553222,Monocyte_CD14:ENSG00000135930 +2,230820490,Monocyte_CD14:ENSG00000135932 +2,96994596,Monocyte_CD14:ENSG00000135940 +2,97206681,Monocyte_CD14:ENSG00000135940 +2,99492209,Monocyte_CD14:ENSG00000135945 +2,99141614,Monocyte_CD14:ENSG00000135951 +2,102730665,Monocyte_CD14:ENSG00000135953 +2,96266311,Monocyte_CD14:ENSG00000135956 +2,108432725,Monocyte_CD14:ENSG00000135968 +2,108446361,Monocyte_CD14:ENSG00000135968 +2,108449832,Monocyte_CD14:ENSG00000135968 +2,108479938,Monocyte_CD14:ENSG00000135968 +2,105072150,Monocyte_CD14:ENSG00000135972 +2,97003295,Monocyte_CD14:ENSG00000135976 +2,97193491,Monocyte_CD14:ENSG00000135976 +2,97550268,Monocyte_CD14:ENSG00000135976 +2,148608763,Monocyte_CD14:ENSG00000135999 +2,159781890,Monocyte_CD14:ENSG00000136536 +2,161244750,Monocyte_CD14:ENSG00000136560 +2,113390940,Monocyte_CD14:ENSG00000136682 +2,113458351,Monocyte_CD14:ENSG00000136682 +2,113390940,Monocyte_CD14:ENSG00000136689 +2,127833887,Monocyte_CD14:ENSG00000136709 +2,130342923,Monocyte_CD14:ENSG00000136710 +2,127086831,Monocyte_CD14:ENSG00000136717 +2,127104330,Monocyte_CD14:ENSG00000136717 +2,127111023,Monocyte_CD14:ENSG00000136717 +2,130342923,Monocyte_CD14:ENSG00000136718 +2,128449376,Monocyte_CD14:ENSG00000136720 +2,126655559,Monocyte_CD14:ENSG00000136732 +2,126715886,Monocyte_CD14:ENSG00000136732 +2,126800904,Monocyte_CD14:ENSG00000136732 +2,26190499,Monocyte_CD14:ENSG00000138029 +2,26232941,Monocyte_CD14:ENSG00000138029 +2,26246347,Monocyte_CD14:ENSG00000138029 +2,27092384,Monocyte_CD14:ENSG00000138030 +2,24876488,Monocyte_CD14:ENSG00000138031 +2,24911142,Monocyte_CD14:ENSG00000138031 +2,55667112,Monocyte_CD14:ENSG00000138035 +2,43765390,Monocyte_CD14:ENSG00000138036 +2,39740106,Monocyte_CD14:ENSG00000138050 +2,38068814,Monocyte_CD14:ENSG00000138061 +2,38115424,Monocyte_CD14:ENSG00000138061 +2,38128807,Monocyte_CD14:ENSG00000138061 +2,38146116,Monocyte_CD14:ENSG00000138061 +2,38149130,Monocyte_CD14:ENSG00000138061 +2,38149689,Monocyte_CD14:ENSG00000138061 +2,38155476,Monocyte_CD14:ENSG00000138061 +2,38164282,Monocyte_CD14:ENSG00000138061 +2,38262965,Monocyte_CD14:ENSG00000138061 +2,65262542,Monocyte_CD14:ENSG00000138071 +2,44404173,Monocyte_CD14:ENSG00000138078 +2,27244730,Monocyte_CD14:ENSG00000138085 +2,43895934,Monocyte_CD14:ENSG00000138095 +2,25664419,Monocyte_CD14:ENSG00000138101 +2,215312057,Monocyte_CD14:ENSG00000138363 +2,215312084,Monocyte_CD14:ENSG00000138363 +2,214757933,Monocyte_CD14:ENSG00000138376 +2,214808940,Monocyte_CD14:ENSG00000138376 +2,202800206,Monocyte_CD14:ENSG00000138380 +2,189661498,Monocyte_CD14:ENSG00000138381 +2,169706225,Monocyte_CD14:ENSG00000138398 +2,169531264,Monocyte_CD14:ENSG00000138399 +2,169573878,Monocyte_CD14:ENSG00000138399 +2,196246287,Monocyte_CD14:ENSG00000138411 +2,208264168,Monocyte_CD14:ENSG00000138413 +2,174071453,Monocyte_CD14:ENSG00000138430 +2,174247935,Monocyte_CD14:ENSG00000138430 +2,174380899,Monocyte_CD14:ENSG00000138433 +2,181459039,Monocyte_CD14:ENSG00000138434 +2,202630335,Monocyte_CD14:ENSG00000138439 +2,203885072,Monocyte_CD14:ENSG00000138443 +2,186605584,Monocyte_CD14:ENSG00000138448 +2,189576560,Monocyte_CD14:ENSG00000138449 +2,240576677,Monocyte_CD14:ENSG00000142327 +2,272051,Monocyte_CD14:ENSG00000143727 +2,9020702,Monocyte_CD14:ENSG00000143797 +2,9026693,Monocyte_CD14:ENSG00000143797 +2,10784559,Monocyte_CD14:ENSG00000143870 +2,20425391,Monocyte_CD14:ENSG00000143878 +2,38666831,Monocyte_CD14:ENSG00000143891 +2,42102189,Monocyte_CD14:ENSG00000143924 +2,42475456,Monocyte_CD14:ENSG00000143924 +2,47082174,Monocyte_CD14:ENSG00000143933 +2,47086379,Monocyte_CD14:ENSG00000143933 +2,47174925,Monocyte_CD14:ENSG00000143933 +2,47296270,Monocyte_CD14:ENSG00000143933 +2,53946396,Monocyte_CD14:ENSG00000143942 +2,55232359,Monocyte_CD14:ENSG00000143947 +2,63354684,Monocyte_CD14:ENSG00000143951 +2,67346023,Monocyte_CD14:ENSG00000143971 +2,70219636,Monocyte_CD14:ENSG00000143977 +2,94734526,Monocyte_CD14:ENSG00000144026 +2,94767901,Monocyte_CD14:ENSG00000144026 +2,95125522,Monocyte_CD14:ENSG00000144026 +2,95167547,Monocyte_CD14:ENSG00000144026 +2,95235603,Monocyte_CD14:ENSG00000144026 +2,95311397,Monocyte_CD14:ENSG00000144026 +2,95483572,Monocyte_CD14:ENSG00000144026 +2,73732833,Monocyte_CD14:ENSG00000144034 +2,73107717,Monocyte_CD14:ENSG00000144040 +2,70991119,Monocyte_CD14:ENSG00000144043 +2,70993663,Monocyte_CD14:ENSG00000144043 +2,110110987,Monocyte_CD14:ENSG00000144063 +2,88149930,Monocyte_CD14:ENSG00000144115 +2,88152953,Monocyte_CD14:ENSG00000144115 +2,88168269,Monocyte_CD14:ENSG00000144115 +2,120281816,Monocyte_CD14:ENSG00000144118 +2,119676827,Monocyte_CD14:ENSG00000144120 +2,113617300,Monocyte_CD14:ENSG00000144134 +2,113628409,Monocyte_CD14:ENSG00000144134 +2,112625107,Monocyte_CD14:ENSG00000144136 +2,112630196,Monocyte_CD14:ENSG00000144136 +2,112708189,Monocyte_CD14:ENSG00000144136 +2,112187643,Monocyte_CD14:ENSG00000144161 +2,99144023,Monocyte_CD14:ENSG00000144182 +2,100148543,Monocyte_CD14:ENSG00000144218 +2,127829743,Monocyte_CD14:ENSG00000144233 +2,158113913,Monocyte_CD14:ENSG00000144283 +2,158643651,Monocyte_CD14:ENSG00000144283 +2,175919095,Monocyte_CD14:ENSG00000144320 +2,176002028,Monocyte_CD14:ENSG00000144320 +2,176049655,Monocyte_CD14:ENSG00000144320 +2,173266797,Monocyte_CD14:ENSG00000144354 +2,173362749,Monocyte_CD14:ENSG00000144354 +2,169958092,Monocyte_CD14:ENSG00000144357 +2,169706225,Monocyte_CD14:ENSG00000144362 +2,186978919,Monocyte_CD14:ENSG00000144369 +2,197530375,Monocyte_CD14:ENSG00000144381 +2,196259861,Monocyte_CD14:ENSG00000144395 +2,207613128,Monocyte_CD14:ENSG00000144401 +2,226875707,Monocyte_CD14:ENSG00000144468 +2,238229618,Monocyte_CD14:ENSG00000144485 +2,219183999,Monocyte_CD14:ENSG00000144567 +2,218363885,Monocyte_CD14:ENSG00000144579 +2,241214600,Monocyte_CD14:ENSG00000146205 +2,137974195,Monocyte_CD14:ENSG00000150540 +2,138035758,Monocyte_CD14:ENSG00000150540 +2,138056849,Monocyte_CD14:ENSG00000150540 +2,36357184,Monocyte_CD14:ENSG00000150938 +2,36473437,Monocyte_CD14:ENSG00000150938 +2,36536191,Monocyte_CD14:ENSG00000150938 +2,676782,Monocyte_CD14:ENSG00000151353 +2,677213,Monocyte_CD14:ENSG00000151353 +2,189674604,Monocyte_CD14:ENSG00000151687 +2,190351383,Monocyte_CD14:ENSG00000151689 +2,190399664,Monocyte_CD14:ENSG00000151690 +2,190408331,Monocyte_CD14:ENSG00000151690 +2,190421725,Monocyte_CD14:ENSG00000151690 +2,190422065,Monocyte_CD14:ENSG00000151690 +2,6932804,Monocyte_CD14:ENSG00000151692 +2,9192136,Monocyte_CD14:ENSG00000151693 +2,9250263,Monocyte_CD14:ENSG00000151693 +2,15149398,Monocyte_CD14:ENSG00000151779 +2,130146544,Monocyte_CD14:ENSG00000152082 +2,130181715,Monocyte_CD14:ENSG00000152082 +2,134137542,Monocyte_CD14:ENSG00000152127 +2,37090314,Monocyte_CD14:ENSG00000152133 +2,38740255,Monocyte_CD14:ENSG00000152147 +2,172518313,Monocyte_CD14:ENSG00000152256 +2,85310836,Monocyte_CD14:ENSG00000152291 +2,85327762,Monocyte_CD14:ENSG00000152291 +2,43118484,Monocyte_CD14:ENSG00000152518 +2,43399529,Monocyte_CD14:ENSG00000152518 +2,43417417,Monocyte_CD14:ENSG00000152518 +2,43442582,Monocyte_CD14:ENSG00000152518 +2,43503433,Monocyte_CD14:ENSG00000152518 +2,70825032,Monocyte_CD14:ENSG00000152672 +2,110978355,Monocyte_CD14:ENSG00000153094 +2,110992451,Monocyte_CD14:ENSG00000153094 +2,110994583,Monocyte_CD14:ENSG00000153094 +2,111916714,Monocyte_CD14:ENSG00000153208 +2,112019864,Monocyte_CD14:ENSG00000153208 +2,112031804,Monocyte_CD14:ENSG00000153208 +2,112056315,Monocyte_CD14:ENSG00000153214 +2,112058557,Monocyte_CD14:ENSG00000153214 +2,156135749,Monocyte_CD14:ENSG00000153234 +2,160062494,Monocyte_CD14:ENSG00000153246 +2,160337744,Monocyte_CD14:ENSG00000153250 +2,160697459,Monocyte_CD14:ENSG00000153250 +2,86763192,Monocyte_CD14:ENSG00000153561 +2,229331062,Monocyte_CD14:ENSG00000153823 +2,229333963,Monocyte_CD14:ENSG00000153823 +2,229333963,Monocyte_CD14:ENSG00000153823 +2,229341261,Monocyte_CD14:ENSG00000153823 +2,229346530,Monocyte_CD14:ENSG00000153823 +2,229407064,Monocyte_CD14:ENSG00000153823 +2,229869815,Monocyte_CD14:ENSG00000153827 +2,175171117,Monocyte_CD14:ENSG00000154518 +2,119290627,Monocyte_CD14:ENSG00000155368 +2,119357585,Monocyte_CD14:ENSG00000155368 +2,119376083,Monocyte_CD14:ENSG00000155368 +2,121752488,Monocyte_CD14:ENSG00000155438 +2,201319442,Monocyte_CD14:ENSG00000155749 +2,201674369,Monocyte_CD14:ENSG00000155755 +2,152623385,Monocyte_CD14:ENSG00000157827 +2,26460909,Monocyte_CD14:ENSG00000157856 +2,96754487,Monocyte_CD14:ENSG00000158158 +2,99184859,Monocyte_CD14:ENSG00000158411 +2,218363885,Monocyte_CD14:ENSG00000158428 +2,74790705,Monocyte_CD14:ENSG00000159399 +2,74817573,Monocyte_CD14:ENSG00000159399 +2,74858036,Monocyte_CD14:ENSG00000159399 +2,74881617,Monocyte_CD14:ENSG00000159399 +2,240967254,Monocyte_CD14:ENSG00000162804 +2,48440510,Monocyte_CD14:ENSG00000162869 +2,42791923,Monocyte_CD14:ENSG00000162881 +2,42791923,Monocyte_CD14:ENSG00000162882 +2,60881694,Monocyte_CD14:ENSG00000162924 +2,61017275,Monocyte_CD14:ENSG00000162927 +2,199858069,Monocyte_CD14:ENSG00000162971 +2,11162487,Monocyte_CD14:ENSG00000162976 +2,11362853,Monocyte_CD14:ENSG00000162976 +2,151722472,Monocyte_CD14:ENSG00000162980 +2,151919909,Monocyte_CD14:ENSG00000162980 +2,55232237,Monocyte_CD14:ENSG00000162994 +2,183115667,Monocyte_CD14:ENSG00000163002 +2,108775359,Monocyte_CD14:ENSG00000163006 +2,73474557,Monocyte_CD14:ENSG00000163013 +2,17642309,Monocyte_CD14:ENSG00000163029 +2,17727505,Monocyte_CD14:ENSG00000163029 +2,17791225,Monocyte_CD14:ENSG00000163029 +2,127342333,Monocyte_CD14:ENSG00000163161 +2,37635574,Monocyte_CD14:ENSG00000163171 +2,37742548,Monocyte_CD14:ENSG00000163171 +2,37768279,Monocyte_CD14:ENSG00000163171 +2,37844553,Monocyte_CD14:ENSG00000163171 +2,38875529,Monocyte_CD14:ENSG00000163214 +2,68732339,Monocyte_CD14:ENSG00000163219 +2,70554014,Monocyte_CD14:ENSG00000163235 +2,207613128,Monocyte_CD14:ENSG00000163249 +2,207751809,Monocyte_CD14:ENSG00000163249 +2,174496423,Monocyte_CD14:ENSG00000163328 +2,216071449,Monocyte_CD14:ENSG00000163449 +2,218087510,Monocyte_CD14:ENSG00000163464 +2,218192143,Monocyte_CD14:ENSG00000163466 +2,180004430,Monocyte_CD14:ENSG00000163510 +2,219250304,Monocyte_CD14:ENSG00000163516 +2,219243701,Monocyte_CD14:ENSG00000163521 +2,202630335,Monocyte_CD14:ENSG00000163596 +2,27676808,Monocyte_CD14:ENSG00000163798 +2,28468378,Monocyte_CD14:ENSG00000163803 +2,28608048,Monocyte_CD14:ENSG00000163803 +2,28614506,Monocyte_CD14:ENSG00000163803 +2,28635541,Monocyte_CD14:ENSG00000163803 +2,29633567,Monocyte_CD14:ENSG00000163806 +2,28975275,Monocyte_CD14:ENSG00000163811 +2,241251995,Monocyte_CD14:ENSG00000168385 +2,241315319,Monocyte_CD14:ENSG00000168385 +2,241355498,Monocyte_CD14:ENSG00000168385 +2,241689563,Monocyte_CD14:ENSG00000168393 +2,241693485,Monocyte_CD14:ENSG00000168395 +2,241689563,Monocyte_CD14:ENSG00000168397 +2,238141392,Monocyte_CD14:ENSG00000168427 +2,85700576,Monocyte_CD14:ENSG00000168874 +2,85705880,Monocyte_CD14:ENSG00000168874 +2,85728572,Monocyte_CD14:ENSG00000168874 +2,85754718,Monocyte_CD14:ENSG00000168874 +2,85700576,Monocyte_CD14:ENSG00000168878 +2,85616225,Monocyte_CD14:ENSG00000168883 +2,85700576,Monocyte_CD14:ENSG00000168883 +2,85700576,Monocyte_CD14:ENSG00000168887 +2,85651605,Monocyte_CD14:ENSG00000168890 +2,85651605,Monocyte_CD14:ENSG00000168894 +2,85551927,Monocyte_CD14:ENSG00000168899 +2,85580487,Monocyte_CD14:ENSG00000168899 +2,85587813,Monocyte_CD14:ENSG00000168899 +2,85700576,Monocyte_CD14:ENSG00000168899 +2,85449603,Monocyte_CD14:ENSG00000168906 +2,85498231,Monocyte_CD14:ENSG00000168906 +2,233068193,Monocyte_CD14:ENSG00000168918 +2,233164909,Monocyte_CD14:ENSG00000168918 +2,227325534,Monocyte_CD14:ENSG00000168958 +2,226030606,Monocyte_CD14:ENSG00000169047 +2,226115695,Monocyte_CD14:ENSG00000169047 +2,226414936,Monocyte_CD14:ENSG00000169047 +2,166328218,Monocyte_CD14:ENSG00000169432 +2,166379956,Monocyte_CD14:ENSG00000169432 +2,69423598,Monocyte_CD14:ENSG00000169599 +2,68682126,Monocyte_CD14:ENSG00000169621 +2,112432634,Monocyte_CD14:ENSG00000169629 +2,112462329,Monocyte_CD14:ENSG00000169629 +2,108540193,Monocyte_CD14:ENSG00000169756 +2,108673180,Monocyte_CD14:ENSG00000169756 +2,63842598,Monocyte_CD14:ENSG00000169764 +2,127388571,Monocyte_CD14:ENSG00000169967 +2,127637923,Monocyte_CD14:ENSG00000169994 +2,181039650,Monocyte_CD14:ENSG00000170035 +2,181046762,Monocyte_CD14:ENSG00000170035 +2,62308853,Monocyte_CD14:ENSG00000170340 +2,184624494,Monocyte_CD14:ENSG00000170396 +2,53989985,Monocyte_CD14:ENSG00000170634 +2,48346756,Monocyte_CD14:ENSG00000170802 +2,36554258,Monocyte_CD14:ENSG00000171055 +2,36601257,Monocyte_CD14:ENSG00000171055 +2,28834574,Monocyte_CD14:ENSG00000171103 +2,45651621,Monocyte_CD14:ENSG00000171132 +2,3378843,Monocyte_CD14:ENSG00000171853 +2,3575322,Monocyte_CD14:ENSG00000171863 +2,3580793,Monocyte_CD14:ENSG00000171863 +2,3547045,Monocyte_CD14:ENSG00000171865 +2,10021029,Monocyte_CD14:ENSG00000172059 +2,10032103,Monocyte_CD14:ENSG00000172059 +2,10091786,Monocyte_CD14:ENSG00000172059 +2,88017029,Monocyte_CD14:ENSG00000172086 +2,168363679,Monocyte_CD14:ENSG00000172292 +2,168375168,Monocyte_CD14:ENSG00000172292 +2,168775111,Monocyte_CD14:ENSG00000172292 +2,240347220,Monocyte_CD14:ENSG00000172428 +2,173931344,Monocyte_CD14:ENSG00000172845 +2,171894406,Monocyte_CD14:ENSG00000172878 +2,30451393,Monocyte_CD14:ENSG00000172954 +2,111429516,Monocyte_CD14:ENSG00000172965 +2,111493556,Monocyte_CD14:ENSG00000172965 +2,111509941,Monocyte_CD14:ENSG00000172965 +2,111529192,Monocyte_CD14:ENSG00000172965 +2,111624118,Monocyte_CD14:ENSG00000172965 +2,109251225,Monocyte_CD14:ENSG00000172985 +2,61898826,Monocyte_CD14:ENSG00000173163 +2,203502053,Monocyte_CD14:ENSG00000173166 +2,131487239,Monocyte_CD14:ENSG00000173272 +2,131504784,Monocyte_CD14:ENSG00000173272 +2,127724070,Monocyte_CD14:ENSG00000173349 +2,191654208,Monocyte_CD14:ENSG00000173559 +2,191936525,Monocyte_CD14:ENSG00000173559 +2,227446434,Monocyte_CD14:ENSG00000173744 +2,23924108,Monocyte_CD14:ENSG00000173960 +2,23952658,Monocyte_CD14:ENSG00000173960 +2,96006453,Monocyte_CD14:ENSG00000174501 +2,219418233,Monocyte_CD14:ENSG00000175084 +2,115275734,Monocyte_CD14:ENSG00000175497 +2,110103560,Monocyte_CD14:ENSG00000175701 +2,237775219,Monocyte_CD14:ENSG00000177483 +2,200153224,Monocyte_CD14:ENSG00000178074 +2,17754513,Monocyte_CD14:ENSG00000178295 +2,17791225,Monocyte_CD14:ENSG00000178295 +2,240607895,Monocyte_CD14:ENSG00000178623 +2,240627012,Monocyte_CD14:ENSG00000178623 +2,240634984,Monocyte_CD14:ENSG00000178623 +2,70086436,Monocyte_CD14:ENSG00000179818 +2,64640649,Monocyte_CD14:ENSG00000179833 +2,218284916,Monocyte_CD14:ENSG00000179921 +2,178424905,Monocyte_CD14:ENSG00000180228 +2,46923436,Monocyte_CD14:ENSG00000180398 +2,218087510,Monocyte_CD14:ENSG00000180871 +2,241679967,Monocyte_CD14:ENSG00000180902 +2,241735388,Monocyte_CD14:ENSG00000180902 +2,241737769,Monocyte_CD14:ENSG00000180902 +2,152038893,Monocyte_CD14:ENSG00000182389 +2,152048288,Monocyte_CD14:ENSG00000182389 +2,3503376,Monocyte_CD14:ENSG00000182551 +2,3518555,Monocyte_CD14:ENSG00000182551 +2,40111697,Monocyte_CD14:ENSG00000183023 +2,40381130,Monocyte_CD14:ENSG00000183023 +2,40394247,Monocyte_CD14:ENSG00000183023 +2,40471671,Monocyte_CD14:ENSG00000183023 +2,40488588,Monocyte_CD14:ENSG00000183023 +2,151787129,Monocyte_CD14:ENSG00000183091 +2,151789746,Monocyte_CD14:ENSG00000183091 +2,151820841,Monocyte_CD14:ENSG00000183091 +2,86943945,Monocyte_CD14:ENSG00000183281 +2,87089342,Monocyte_CD14:ENSG00000183281 +2,87092000,Monocyte_CD14:ENSG00000183281 +2,201135672,Monocyte_CD14:ENSG00000183308 +2,70825032,Monocyte_CD14:ENSG00000183733 +2,19897175,Monocyte_CD14:ENSG00000183891 +2,237906610,Monocyte_CD14:ENSG00000184182 +2,237985210,Monocyte_CD14:ENSG00000184182 +2,238138044,Monocyte_CD14:ENSG00000184182 +2,151261757,Monocyte_CD14:ENSG00000184898 +2,87825278,Monocyte_CD14:ENSG00000185304 +2,230405450,Monocyte_CD14:ENSG00000185404 +2,119350654,Monocyte_CD14:ENSG00000186132 +2,238223958,Monocyte_CD14:ENSG00000186235 +2,238229040,Monocyte_CD14:ENSG00000186235 +2,238245307,Monocyte_CD14:ENSG00000186235 +2,238309792,Monocyte_CD14:ENSG00000186235 +2,96082421,Monocyte_CD14:ENSG00000186281 +2,109571290,Monocyte_CD14:ENSG00000186522 +2,179353008,Monocyte_CD14:ENSG00000187231 +2,231708582,Monocyte_CD14:ENSG00000187514 +2,73827375,Monocyte_CD14:ENSG00000187605 +2,219160586,Monocyte_CD14:ENSG00000187736 +2,234290943,Monocyte_CD14:ENSG00000188042 +2,234419339,Monocyte_CD14:ENSG00000188042 +2,234426106,Monocyte_CD14:ENSG00000188042 +2,234426120,Monocyte_CD14:ENSG00000188042 +2,234426828,Monocyte_CD14:ENSG00000188042 +2,234427502,Monocyte_CD14:ENSG00000188042 +2,234487522,Monocyte_CD14:ENSG00000188042 +2,112275894,Monocyte_CD14:ENSG00000188177 +2,218028026,Monocyte_CD14:ENSG00000188282 +2,74372241,Monocyte_CD14:ENSG00000188687 +2,113235767,Monocyte_CD14:ENSG00000189223 +2,113236840,Monocyte_CD14:ENSG00000189223 +2,113331974,Monocyte_CD14:ENSG00000189223 +2,113590000,Monocyte_CD14:ENSG00000189223 +2,28958241,Monocyte_CD14:ENSG00000189350 +2,29011101,Monocyte_CD14:ENSG00000189350 +2,190466488,Monocyte_CD14:ENSG00000189362 +2,190574015,Monocyte_CD14:ENSG00000189362 +2,200301733,Monocyte_CD14:ENSG00000196141 +2,200306406,Monocyte_CD14:ENSG00000196141 +2,200382768,Monocyte_CD14:ENSG00000196141 +2,200696017,Monocyte_CD14:ENSG00000196141 +2,159368072,Monocyte_CD14:ENSG00000196151 +2,152641948,Monocyte_CD14:ENSG00000196504 +2,96537556,Monocyte_CD14:ENSG00000196843 +2,96547018,Monocyte_CD14:ENSG00000196843 +2,96653888,Monocyte_CD14:ENSG00000196843 +2,97033772,Monocyte_CD14:ENSG00000196912 +2,195610912,Monocyte_CD14:ENSG00000196950 +2,69709226,Monocyte_CD14:ENSG00000196975 +2,69753778,Monocyte_CD14:ENSG00000196975 +2,69906278,Monocyte_CD14:ENSG00000196975 +2,196836692,Monocyte_CD14:ENSG00000197121 +2,196985452,Monocyte_CD14:ENSG00000197121 +2,68045751,Monocyte_CD14:ENSG00000197223 +2,68084976,Monocyte_CD14:ENSG00000197223 +2,64097605,Monocyte_CD14:ENSG00000197329 +2,177634389,Monocyte_CD14:ENSG00000197557 +2,216476313,Monocyte_CD14:ENSG00000197756 +2,16545155,Monocyte_CD14:ENSG00000197872 +2,16625101,Monocyte_CD14:ENSG00000197872 +2,190271278,Monocyte_CD14:ENSG00000198130 +2,109571290,Monocyte_CD14:ENSG00000198142 +2,65433844,Monocyte_CD14:ENSG00000198369 +2,69325319,Monocyte_CD14:ENSG00000198380 +2,69378420,Monocyte_CD14:ENSG00000198380 +2,24063319,Monocyte_CD14:ENSG00000198399 +2,27623736,Monocyte_CD14:ENSG00000198522 +2,171048189,Monocyte_CD14:ENSG00000198586 +2,168182860,Monocyte_CD14:ENSG00000198648 +2,55232237,Monocyte_CD14:ENSG00000203327 +2,241814768,Monocyte_CD14:ENSG00000204099 +2,238327216,Monocyte_CD14:ENSG00000204104 +2,232841461,Monocyte_CD14:ENSG00000204120 +2,206257714,Monocyte_CD14:ENSG00000204186 +2,202560752,Monocyte_CD14:ENSG00000204217 +2,189407015,Monocyte_CD14:ENSG00000204262 +2,147822077,Monocyte_CD14:ENSG00000204406 +2,101030529,Monocyte_CD14:ENSG00000204634 +2,101190344,Monocyte_CD14:ENSG00000204634 +2,74958729,Monocyte_CD14:ENSG00000204792 +2,68448440,Monocyte_CD14:ENSG00000204923 +2,61144301,Monocyte_CD14:ENSG00000212978 +2,61154827,Monocyte_CD14:ENSG00000212978 +2,28753537,Monocyte_CD14:ENSG00000213639 +2,219174550,Monocyte_CD14:ENSG00000213901 +2,177279570,Monocyte_CD14:ENSG00000213963 +2,108432725,Monocyte_CD14:ENSG00000214184 +2,37296768,Monocyte_CD14:ENSG00000218739 +2,24046758,Monocyte_CD14:ENSG00000219626 +2,24109152,Monocyte_CD14:ENSG00000219626 +2,68218757,Monocyte_CD14:ENSG00000221823 +2,68268331,Monocyte_CD14:ENSG00000221823 +2,239401967,Monocyte_CD14:ENSG00000222020 +2,87443058,Monocyte_CD14:ENSG00000222041 +2,87518791,Monocyte_CD14:ENSG00000222041 +2,195543775,Monocyte_CD14:ENSG00000223466 +2,207666829,Monocyte_CD14:ENSG00000224137 +2,159605040,Monocyte_CD14:ENSG00000224152 +2,218363885,Monocyte_CD14:ENSG00000225062 +2,47069163,Monocyte_CD14:ENSG00000225187 +2,3478086,Monocyte_CD14:ENSG00000225234 +2,64225156,Monocyte_CD14:ENSG00000225889 +2,64266288,Monocyte_CD14:ENSG00000225889 +2,230174882,Monocyte_CD14:ENSG00000225963 +2,6849889,Monocyte_CD14:ENSG00000225964 +2,197318216,Monocyte_CD14:ENSG00000225979 +2,199738959,Monocyte_CD14:ENSG00000226124 +2,199760247,Monocyte_CD14:ENSG00000226124 +2,199955782,Monocyte_CD14:ENSG00000226124 +2,159695351,Monocyte_CD14:ENSG00000226266 +2,201139467,Monocyte_CD14:ENSG00000226312 +2,144945114,Monocyte_CD14:ENSG00000226674 +2,28751680,Monocyte_CD14:ENSG00000226833 +2,118186225,Monocyte_CD14:ENSG00000226856 +2,40471671,Monocyte_CD14:ENSG00000227028 +2,161244750,Monocyte_CD14:ENSG00000227403 +2,97663592,Monocyte_CD14:ENSG00000228486 +2,19864749,Monocyte_CD14:ENSG00000228784 +2,19877892,Monocyte_CD14:ENSG00000228784 +2,113829935,Monocyte_CD14:ENSG00000228857 +2,206954030,Monocyte_CD14:ENSG00000229321 +2,177198019,Monocyte_CD14:ENSG00000229337 +2,207239442,Monocyte_CD14:ENSG00000229647 +2,73386213,Monocyte_CD14:ENSG00000230002 +2,43128380,Monocyte_CD14:ENSG00000230587 +2,97003295,Monocyte_CD14:ENSG00000230606 +2,97233094,Monocyte_CD14:ENSG00000230606 +2,39437518,Monocyte_CD14:ENSG00000231312 +2,217789897,Monocyte_CD14:ENSG00000231672 +2,136506924,Monocyte_CD14:ENSG00000231890 +2,208255534,Monocyte_CD14:ENSG00000231908 +2,113590000,Monocyte_CD14:ENSG00000231943 +2,113657136,Monocyte_CD14:ENSG00000231943 +2,206111480,Monocyte_CD14:ENSG00000231955 +2,165814551,Monocyte_CD14:ENSG00000232411 +2,85916631,Monocyte_CD14:ENSG00000232504 +2,144548866,Monocyte_CD14:ENSG00000232606 +2,172281057,Monocyte_CD14:ENSG00000232788 +2,96006453,Monocyte_CD14:ENSG00000232931 +2,38075034,Monocyte_CD14:ENSG00000232973 +2,38115424,Monocyte_CD14:ENSG00000232973 +2,38146116,Monocyte_CD14:ENSG00000232973 +2,38146212,Monocyte_CD14:ENSG00000232973 +2,38149130,Monocyte_CD14:ENSG00000232973 +2,38164282,Monocyte_CD14:ENSG00000232973 +2,674963,Monocyte_CD14:ENSG00000233296 +2,238949369,Monocyte_CD14:ENSG00000233608 +2,190542143,Monocyte_CD14:ENSG00000233654 +2,3561166,Monocyte_CD14:ENSG00000234171 +2,113835834,Monocyte_CD14:ENSG00000234199 +2,170725641,Monocyte_CD14:ENSG00000234350 +2,195576430,Monocyte_CD14:ENSG00000234919 +2,43256087,Monocyte_CD14:ENSG00000234936 +2,3478086,Monocyte_CD14:ENSG00000235078 +2,8679682,Monocyte_CD14:ENSG00000235092 +2,215831593,Monocyte_CD14:ENSG00000235770 +2,166379956,Monocyte_CD14:ENSG00000236107 +2,74958729,Monocyte_CD14:ENSG00000236209 +2,117828151,Monocyte_CD14:ENSG00000236255 +2,227319534,Monocyte_CD14:ENSG00000236432 +2,71062557,Monocyte_CD14:ENSG00000236469 +2,127388886,Monocyte_CD14:ENSG00000236682 +2,178549906,Monocyte_CD14:ENSG00000237298 +2,215733597,Monocyte_CD14:ENSG00000237525 +2,65030342,Monocyte_CD14:ENSG00000237638 +2,65057022,Monocyte_CD14:ENSG00000237638 +2,61145163,Monocyte_CD14:ENSG00000237651 +2,872764,Monocyte_CD14:ENSG00000237667 +2,112619970,Monocyte_CD14:ENSG00000237753 +2,112639691,Monocyte_CD14:ENSG00000237753 +2,138594629,Monocyte_CD14:ENSG00000237772 +2,37829211,Monocyte_CD14:ENSG00000237803 +2,186406833,Monocyte_CD14:ENSG00000237877 +2,73981110,Monocyte_CD14:ENSG00000237883 +2,241979431,Monocyte_CD14:ENSG00000237940 +2,86701499,Monocyte_CD14:ENSG00000239305 +2,170725641,Monocyte_CD14:ENSG00000239467 +2,200877622,Monocyte_CD14:ENSG00000240344 +2,200998577,Monocyte_CD14:ENSG00000240344 +2,159695351,Monocyte_CD14:ENSG00000241399 +2,159798013,Monocyte_CD14:ENSG00000241399 +2,159802352,Monocyte_CD14:ENSG00000241399 +2,68236084,Monocyte_CD14:ENSG00000243667 +2,10656758,Monocyte_CD14:ENSG00000243819 +2,46538668,Monocyte_CD14:ENSG00000250565 +2,46539307,Monocyte_CD14:ENSG00000250565 +2,46541956,Monocyte_CD14:ENSG00000250565 +2,10021029,Monocyte_CD14:ENSG00000260077 +2,10032103,Monocyte_CD14:ENSG00000260077 +2,10042056,Monocyte_CD14:ENSG00000260077 +2,64525160,Monocyte_CD14:ENSG00000260101 +2,216190939,Monocyte_CD14:ENSG00000260804 +2,240576677,Monocyte_CD14:ENSG00000260942 +2,240585897,Monocyte_CD14:ENSG00000260942 +2,242084950,Monocyte_CD14:ENSG00000261186 +2,218259499,Monocyte_CD14:ENSG00000261338 +2,9843557,Monocyte_CD14:ENSG00000269973 +2,20603524,Monocyte_CD14:ENSG00000269976 +2,113657896,Monocyte_CD14:ENSG00000270019 +2,111429516,Monocyte_CD14:ENSG00000270190 +2,28401115,Monocyte_CD14:ENSG00000270210 +2,178549906,Monocyte_CD14:ENSG00000270277 +2,28384353,Monocyte_CD14:ENSG00000270640 +2,178549906,Monocyte_CD14:ENSG00000271141 +2,111429516,Monocyte_CD14:ENSG00000271590 +2,10862978,Monocyte_CD14:ENSG00000271952 +2,10880776,Monocyte_CD14:ENSG00000271952 +2,10880867,Monocyte_CD14:ENSG00000271952 +2,36797432,Monocyte_CD14:ENSG00000272054 +2,54296148,Monocyte_CD14:ENSG00000272156 +2,196085166,Monocyte_CD14:ENSG00000272211 +2,218733318,Monocyte_CD14:ENSG00000272555 +2,55581918,Monocyte_CD14:ENSG00000272606 +2,55597988,Monocyte_CD14:ENSG00000272606 +2,48440605,Monocyte_CD14:ENSG00000272663 +2,74817573,Monocyte_CD14:ENSG00000272711 +2,31392034,Monocyte_CD14:ENSG00000272716 +2,32264782,Monocyte_CD14:ENSG00000272716 +2,71065392,Monocyte_CD14:ENSG00000272735 +2,101112938,Monocyte_CD14:ENSG00000272902 +2,202560752,Monocyte_CD14:ENSG00000272966 +2,190399664,Monocyte_CD14:ENSG00000272979 +2,105294941,Monocyte_CD14:ENSG00000272994 +2,105337683,Monocyte_CD14:ENSG00000272994 +2,68268331,Monocyte_CD14:ENSG00000273064 +2,131469976,Monocyte_CD14:ENSG00000273073 +2,86195908,Monocyte_CD14:ENSG00000273080 +2,36554258,Monocyte_CD14:ENSG00000273090 +2,31728024,Monocyte_CD14:ENSG00000273165 +2,189661498,Monocyte_CD14:ENSG00000273240 +2,218395121,Monocyte_CD14:ENSG00000273361 +2,218398900,Monocyte_CD14:ENSG00000273361 +2,218401481,Monocyte_CD14:ENSG00000273361 +2,202370416,Monocyte_CD14:ENSG00000273456 +2,55439088,Monocyte_CD14:ENSG00000275052 +2,32264782,Monocyte_CD14:ENSG00000276517 +2,33480074,Monocyte_CD14:ENSG00000276517 +2,43334676,Monocyte_CD14:ENSG00000279873 +2,177349806,Monocyte_CD14:ENSG00000280374 +2,101932152,Monocyte_CD14:ENSG00000281162 +2,101962151,Monocyte_CD14:ENSG00000281162 +2,184596115,Monocyte_CD14:ENSG00000283839 +2,184596406,Monocyte_CD14:ENSG00000283839 +2,184598808,Monocyte_CD14:ENSG00000283839 +2,190699265,Monocyte_CD14:ENSG00000284052 +2,219515403,Monocyte_CD14:ENSG00000286095 +2,218733318,Monocyte_CD14:ENSG00000286154 +2,152141212,Monocyte_CD14:ENSG00000286234 +2,26242552,Monocyte_CD14:ENSG00000286707 +2,43118484,Monocyte_CD14:ENSG00000286796 +2,24345697,Monocyte_CD14:ENSG00000286829 +2,127896989,Monocyte_CD14:ENSG00000286873 +2,111864329,Monocyte_CD14:ENSG00000286904 +2,159798013,Monocyte_CD14:ENSG00000287091 +2,144525118,Monocyte_CD14:ENSG00000287115 +2,3583599,Monocyte_CD14:ENSG00000287126 +2,131669192,Monocyte_CD14:ENSG00000287151 +2,131682500,Monocyte_CD14:ENSG00000287151 +2,73827375,Monocyte_CD14:ENSG00000287250 +2,40914538,Monocyte_CD14:ENSG00000287255 +2,43256087,Monocyte_CD14:ENSG00000287387 +2,112819338,Monocyte_CD14:ENSG00000287937 +2,151722470,Monocyte_CD14:ENSG00000288066 +16,20680675,Monocyte_CD14:ENSG00000005187 +16,20682745,Monocyte_CD14:ENSG00000005187 +16,30474072,Monocyte_CD14:ENSG00000005844 +16,19520408,Monocyte_CD14:ENSG00000006007 +16,3312632,Monocyte_CD14:ENSG00000006194 +16,2817449,Monocyte_CD14:ENSG00000007038 +16,785002,Monocyte_CD14:ENSG00000007376 +16,3020627,Monocyte_CD14:ENSG00000008516 +16,3037379,Monocyte_CD14:ENSG00000008516 +16,3055806,Monocyte_CD14:ENSG00000008516 +16,3239966,Monocyte_CD14:ENSG00000010539 +16,21154197,Monocyte_CD14:ENSG00000011638 +16,29815217,Monocyte_CD14:ENSG00000013364 +16,68279136,Monocyte_CD14:ENSG00000038358 +16,71697817,Monocyte_CD14:ENSG00000040199 +16,71736933,Monocyte_CD14:ENSG00000040199 +16,11992406,Monocyte_CD14:ENSG00000048471 +16,56935771,Monocyte_CD14:ENSG00000051108 +16,88605262,Monocyte_CD14:ENSG00000051523 +16,88643329,Monocyte_CD14:ENSG00000051523 +16,88833381,Monocyte_CD14:ENSG00000051523 +16,2936322,Monocyte_CD14:ENSG00000059122 +16,1831144,Monocyte_CD14:ENSG00000063854 +16,2033357,Monocyte_CD14:ENSG00000065054 +16,75651797,Monocyte_CD14:ENSG00000065427 +16,75631121,Monocyte_CD14:ENSG00000065457 +16,20682745,Monocyte_CD14:ENSG00000066654 +16,20742258,Monocyte_CD14:ENSG00000066654 +16,8649370,Monocyte_CD14:ENSG00000067365 +16,4800413,Monocyte_CD14:ENSG00000067836 +16,4803815,Monocyte_CD14:ENSG00000067836 +16,46409318,Monocyte_CD14:ENSG00000069329 +16,68070326,Monocyte_CD14:ENSG00000072736 +16,15607912,Monocyte_CD14:ENSG00000072864 +16,1797311,Monocyte_CD14:ENSG00000074071 +16,89718719,Monocyte_CD14:ENSG00000075399 +16,27310077,Monocyte_CD14:ENSG00000077238 +16,27347975,Monocyte_CD14:ENSG00000077238 +16,50687006,Monocyte_CD14:ENSG00000083799 +16,50692911,Monocyte_CD14:ENSG00000083799 +16,14957303,Monocyte_CD14:ENSG00000085721 +16,56971389,Monocyte_CD14:ENSG00000087237 +16,57020174,Monocyte_CD14:ENSG00000087237 +16,55531854,Monocyte_CD14:ENSG00000087253 +16,55550756,Monocyte_CD14:ENSG00000087253 +16,56384703,Monocyte_CD14:ENSG00000087263 +16,31161713,Monocyte_CD14:ENSG00000089280 +16,4494504,Monocyte_CD14:ENSG00000089486 +16,406416,Monocyte_CD14:ENSG00000090565 +16,1383765,Monocyte_CD14:ENSG00000090581 +16,70157320,Monocyte_CD14:ENSG00000090857 +16,70630654,Monocyte_CD14:ENSG00000090861 +16,74487840,Monocyte_CD14:ENSG00000090863 +16,74497315,Monocyte_CD14:ENSG00000090863 +16,74568395,Monocyte_CD14:ENSG00000090863 +16,24766425,Monocyte_CD14:ENSG00000090905 +16,16259309,Monocyte_CD14:ENSG00000091262 +16,31000500,Monocyte_CD14:ENSG00000099365 +16,30955956,Monocyte_CD14:ENSG00000099377 +16,31000500,Monocyte_CD14:ENSG00000099377 +16,30874900,Monocyte_CD14:ENSG00000099385 +16,1465514,Monocyte_CD14:ENSG00000100726 +16,760844,Monocyte_CD14:ENSG00000102854 +16,4674353,Monocyte_CD14:ENSG00000102858 +16,4686079,Monocyte_CD14:ENSG00000102858 +16,67059980,Monocyte_CD14:ENSG00000102871 +16,30312059,Monocyte_CD14:ENSG00000102879 +16,30105932,Monocyte_CD14:ENSG00000102882 +16,30108204,Monocyte_CD14:ENSG00000102882 +16,30126691,Monocyte_CD14:ENSG00000102882 +16,30107024,Monocyte_CD14:ENSG00000102886 +16,67214928,Monocyte_CD14:ENSG00000102890 +16,47492845,Monocyte_CD14:ENSG00000102893 +16,47688257,Monocyte_CD14:ENSG00000102893 +16,20695554,Monocyte_CD14:ENSG00000102897 +16,67822566,Monocyte_CD14:ENSG00000102898 +16,48356601,Monocyte_CD14:ENSG00000102910 +16,48395177,Monocyte_CD14:ENSG00000102910 +16,48614246,Monocyte_CD14:ENSG00000102921 +16,57274938,Monocyte_CD14:ENSG00000102931 +16,72013852,Monocyte_CD14:ENSG00000102967 +16,67998971,Monocyte_CD14:ENSG00000102977 +16,57996288,Monocyte_CD14:ENSG00000103005 +16,69404048,Monocyte_CD14:ENSG00000103018 +16,69433323,Monocyte_CD14:ENSG00000103018 +16,1768679,Monocyte_CD14:ENSG00000103024 +16,58519260,Monocyte_CD14:ENSG00000103037 +16,58689155,Monocyte_CD14:ENSG00000103042 +16,68858193,Monocyte_CD14:ENSG00000103047 +16,68283158,Monocyte_CD14:ENSG00000103061 +16,68283158,Monocyte_CD14:ENSG00000103064 +16,68359502,Monocyte_CD14:ENSG00000103066 +16,77184387,Monocyte_CD14:ENSG00000103111 +16,77199441,Monocyte_CD14:ENSG00000103111 +16,80998460,Monocyte_CD14:ENSG00000103121 +16,3020627,Monocyte_CD14:ENSG00000103145 +16,114706,Monocyte_CD14:ENSG00000103148 +16,138607,Monocyte_CD14:ENSG00000103148 +16,77231,Monocyte_CD14:ENSG00000103152 +16,83981026,Monocyte_CD14:ENSG00000103154 +16,84030905,Monocyte_CD14:ENSG00000103154 +16,84065210,Monocyte_CD14:ENSG00000103160 +16,84180359,Monocyte_CD14:ENSG00000103168 +16,5025247,Monocyte_CD14:ENSG00000103174 +16,84565484,Monocyte_CD14:ENSG00000103187 +16,84566364,Monocyte_CD14:ENSG00000103187 +16,84597662,Monocyte_CD14:ENSG00000103187 +16,84600137,Monocyte_CD14:ENSG00000103187 +16,84600148,Monocyte_CD14:ENSG00000103187 +16,84603390,Monocyte_CD14:ENSG00000103187 +16,84775016,Monocyte_CD14:ENSG00000103194 +16,84806348,Monocyte_CD14:ENSG00000103194 +16,84805155,Monocyte_CD14:ENSG00000103196 +16,84806348,Monocyte_CD14:ENSG00000103196 +16,84821910,Monocyte_CD14:ENSG00000103196 +16,84899359,Monocyte_CD14:ENSG00000103196 +16,84908212,Monocyte_CD14:ENSG00000103196 +16,84910404,Monocyte_CD14:ENSG00000103196 +16,370723,Monocyte_CD14:ENSG00000103202 +16,397561,Monocyte_CD14:ENSG00000103202 +16,15949317,Monocyte_CD14:ENSG00000103222 +16,16254430,Monocyte_CD14:ENSG00000103226 +16,932572,Monocyte_CD14:ENSG00000103227 +16,980984,Monocyte_CD14:ENSG00000103227 +16,733173,Monocyte_CD14:ENSG00000103245 +16,1465514,Monocyte_CD14:ENSG00000103249 +16,733864,Monocyte_CD14:ENSG00000103253 +16,733967,Monocyte_CD14:ENSG00000103254 +16,733864,Monocyte_CD14:ENSG00000103260 +16,87368655,Monocyte_CD14:ENSG00000103264 +16,636337,Monocyte_CD14:ENSG00000103266 +16,1310090,Monocyte_CD14:ENSG00000103275 +16,3239966,Monocyte_CD14:ENSG00000103313 +16,3263611,Monocyte_CD14:ENSG00000103313 +16,536817,Monocyte_CD14:ENSG00000103326 +16,88714226,Monocyte_CD14:ENSG00000103335 +16,88773967,Monocyte_CD14:ENSG00000103335 +16,88780399,Monocyte_CD14:ENSG00000103335 +16,11859815,Monocyte_CD14:ENSG00000103342 +16,3539024,Monocyte_CD14:ENSG00000103351 +16,2787999,Monocyte_CD14:ENSG00000103363 +16,23548884,Monocyte_CD14:ENSG00000103365 +16,12803538,Monocyte_CD14:ENSG00000103381 +16,12812916,Monocyte_CD14:ENSG00000103381 +16,4468615,Monocyte_CD14:ENSG00000103415 +16,4428850,Monocyte_CD14:ENSG00000103423 +16,53452125,Monocyte_CD14:ENSG00000103479 +16,17449138,Monocyte_CD14:ENSG00000103489 +16,17470801,Monocyte_CD14:ENSG00000103489 +16,31206301,Monocyte_CD14:ENSG00000103490 +16,30145061,Monocyte_CD14:ENSG00000103495 +16,31036009,Monocyte_CD14:ENSG00000103496 +16,31137821,Monocyte_CD14:ENSG00000103507 +16,31161713,Monocyte_CD14:ENSG00000103507 +16,15045136,Monocyte_CD14:ENSG00000103512 +16,15129796,Monocyte_CD14:ENSG00000103512 +16,30777438,Monocyte_CD14:ENSG00000103549 +16,30821925,Monocyte_CD14:ENSG00000103549 +16,19717694,Monocyte_CD14:ENSG00000103550 +16,87708056,Monocyte_CD14:ENSG00000104731 +16,87773639,Monocyte_CD14:ENSG00000104731 +16,5085379,Monocyte_CD14:ENSG00000118894 +16,4797316,Monocyte_CD14:ENSG00000118900 +16,4848635,Monocyte_CD14:ENSG00000118900 +16,50168123,Monocyte_CD14:ENSG00000121274 +16,50308936,Monocyte_CD14:ENSG00000121281 +16,50367672,Monocyte_CD14:ENSG00000121281 +16,24539609,Monocyte_CD14:ENSG00000122257 +16,3106591,Monocyte_CD14:ENSG00000122386 +16,3478737,Monocyte_CD14:ENSG00000122390 +16,67177544,Monocyte_CD14:ENSG00000125122 +16,56456637,Monocyte_CD14:ENSG00000125124 +16,56518768,Monocyte_CD14:ENSG00000125124 +16,56682411,Monocyte_CD14:ENSG00000125144 +16,56597721,Monocyte_CD14:ENSG00000125148 +16,56625613,Monocyte_CD14:ENSG00000125148 +16,67148096,Monocyte_CD14:ENSG00000125149 +16,58689155,Monocyte_CD14:ENSG00000125166 +16,58709278,Monocyte_CD14:ENSG00000125166 +16,3678516,Monocyte_CD14:ENSG00000126602 +16,628843,Monocyte_CD14:ENSG00000127578 +16,693980,Monocyte_CD14:ENSG00000127580 +16,984350,Monocyte_CD14:ENSG00000127586 +16,370907,Monocyte_CD14:ENSG00000129925 +16,371723,Monocyte_CD14:ENSG00000129925 +16,380011,Monocyte_CD14:ENSG00000129925 +16,88967107,Monocyte_CD14:ENSG00000129993 +16,634579,Monocyte_CD14:ENSG00000130731 +16,635813,Monocyte_CD14:ENSG00000130731 +16,636337,Monocyte_CD14:ENSG00000130731 +16,85799671,Monocyte_CD14:ENSG00000131143 +16,85799689,Monocyte_CD14:ENSG00000131143 +16,85759361,Monocyte_CD14:ENSG00000131148 +16,85801212,Monocyte_CD14:ENSG00000131148 +16,85687349,Monocyte_CD14:ENSG00000131149 +16,89639396,Monocyte_CD14:ENSG00000131165 +16,1533633,Monocyte_CD14:ENSG00000131634 +16,68328467,Monocyte_CD14:ENSG00000132600 +16,69316966,Monocyte_CD14:ENSG00000132612 +16,15727389,Monocyte_CD14:ENSG00000133392 +16,15873504,Monocyte_CD14:ENSG00000133393 +16,18948865,Monocyte_CD14:ENSG00000134419 +16,84657438,Monocyte_CD14:ENSG00000135686 +16,84661884,Monocyte_CD14:ENSG00000135686 +16,82169838,Monocyte_CD14:ENSG00000135698 +16,82170181,Monocyte_CD14:ENSG00000135698 +16,84984717,Monocyte_CD14:ENSG00000135709 +16,85017129,Monocyte_CD14:ENSG00000135709 +16,85095031,Monocyte_CD14:ENSG00000135709 +16,67356495,Monocyte_CD14:ENSG00000135723 +16,8851848,Monocyte_CD14:ENSG00000140650 +16,31352656,Monocyte_CD14:ENSG00000140678 +16,31366069,Monocyte_CD14:ENSG00000140678 +16,53872939,Monocyte_CD14:ENSG00000140718 +16,21940094,Monocyte_CD14:ENSG00000140740 +16,22248342,Monocyte_CD14:ENSG00000140743 +16,21636022,Monocyte_CD14:ENSG00000140749 +16,73045413,Monocyte_CD14:ENSG00000140836 +16,73106895,Monocyte_CD14:ENSG00000140836 +16,73129656,Monocyte_CD14:ENSG00000140836 +16,57090469,Monocyte_CD14:ENSG00000140848 +16,57094220,Monocyte_CD14:ENSG00000140848 +16,57113476,Monocyte_CD14:ENSG00000140848 +16,56971389,Monocyte_CD14:ENSG00000140853 +16,57011843,Monocyte_CD14:ENSG00000140853 +16,57025062,Monocyte_CD14:ENSG00000140853 +16,57037320,Monocyte_CD14:ENSG00000140853 +16,77675861,Monocyte_CD14:ENSG00000140876 +16,77724869,Monocyte_CD14:ENSG00000140876 +16,66606300,Monocyte_CD14:ENSG00000140931 +16,66612688,Monocyte_CD14:ENSG00000140931 +16,66564680,Monocyte_CD14:ENSG00000140932 +16,67767488,Monocyte_CD14:ENSG00000140939 +16,87368655,Monocyte_CD14:ENSG00000140941 +16,84065210,Monocyte_CD14:ENSG00000140943 +16,87368655,Monocyte_CD14:ENSG00000140948 +16,84504630,Monocyte_CD14:ENSG00000140950 +16,84504852,Monocyte_CD14:ENSG00000140950 +16,83847732,Monocyte_CD14:ENSG00000140961 +16,85986433,Monocyte_CD14:ENSG00000140968 +16,3412504,Monocyte_CD14:ENSG00000140987 +16,1964833,Monocyte_CD14:ENSG00000140988 +16,1964978,Monocyte_CD14:ENSG00000140988 +16,1958542,Monocyte_CD14:ENSG00000140990 +16,2012455,Monocyte_CD14:ENSG00000140990 +16,2491684,Monocyte_CD14:ENSG00000140992 +16,3305264,Monocyte_CD14:ENSG00000140993 +16,3312632,Monocyte_CD14:ENSG00000140993 +16,90113454,Monocyte_CD14:ENSG00000140995 +16,89880613,Monocyte_CD14:ENSG00000141002 +16,88840372,Monocyte_CD14:ENSG00000141012 +16,88855085,Monocyte_CD14:ENSG00000141012 +16,69316966,Monocyte_CD14:ENSG00000141076 +16,67684660,Monocyte_CD14:ENSG00000141098 +16,30091839,Monocyte_CD14:ENSG00000149922 +16,29327120,Monocyte_CD14:ENSG00000149923 +16,30107024,Monocyte_CD14:ENSG00000149927 +16,8835183,Monocyte_CD14:ENSG00000153048 +16,8841408,Monocyte_CD14:ENSG00000153048 +16,8844450,Monocyte_CD14:ENSG00000153048 +16,11727852,Monocyte_CD14:ENSG00000153066 +16,4464760,Monocyte_CD14:ENSG00000153406 +16,4476922,Monocyte_CD14:ENSG00000153406 +16,4494504,Monocyte_CD14:ENSG00000153406 +16,75386852,Monocyte_CD14:ENSG00000153774 +16,84996667,Monocyte_CD14:ENSG00000153786 +16,85012165,Monocyte_CD14:ENSG00000153786 +16,85017129,Monocyte_CD14:ENSG00000153786 +16,81479155,Monocyte_CD14:ENSG00000153815 +16,81701407,Monocyte_CD14:ENSG00000153815 +16,84176132,Monocyte_CD14:ENSG00000154099 +16,85730207,Monocyte_CD14:ENSG00000154102 +16,85759282,Monocyte_CD14:ENSG00000154102 +16,85759361,Monocyte_CD14:ENSG00000154102 +16,50065125,Monocyte_CD14:ENSG00000155393 +16,50076739,Monocyte_CD14:ENSG00000155393 +16,21727666,Monocyte_CD14:ENSG00000155719 +16,15405554,Monocyte_CD14:ENSG00000156968 +16,15083838,Monocyte_CD14:ENSG00000157045 +16,18896782,Monocyte_CD14:ENSG00000157106 +16,69151161,Monocyte_CD14:ENSG00000157315 +16,69955374,Monocyte_CD14:ENSG00000157322 +16,69972064,Monocyte_CD14:ENSG00000157322 +16,71457361,Monocyte_CD14:ENSG00000157429 +16,88675096,Monocyte_CD14:ENSG00000158717 +16,88696535,Monocyte_CD14:ENSG00000158717 +16,88704213,Monocyte_CD14:ENSG00000158717 +16,89800931,Monocyte_CD14:ENSG00000158792 +16,89725189,Monocyte_CD14:ENSG00000158805 +16,24790416,Monocyte_CD14:ENSG00000158865 +16,56384703,Monocyte_CD14:ENSG00000159461 +16,56423670,Monocyte_CD14:ENSG00000159461 +16,56518768,Monocyte_CD14:ENSG00000159461 +16,57137728,Monocyte_CD14:ENSG00000159579 +16,66882460,Monocyte_CD14:ENSG00000159593 +16,57536792,Monocyte_CD14:ENSG00000159618 +16,67356495,Monocyte_CD14:ENSG00000159713 +16,67412650,Monocyte_CD14:ENSG00000159713 +16,67412650,Monocyte_CD14:ENSG00000159714 +16,67506115,Monocyte_CD14:ENSG00000159720 +16,67418603,Monocyte_CD14:ENSG00000159723 +16,68070326,Monocyte_CD14:ENSG00000159761 +16,33887,Monocyte_CD14:ENSG00000161980 +16,35065,Monocyte_CD14:ENSG00000161980 +16,53423,Monocyte_CD14:ENSG00000161980 +16,49353,Monocyte_CD14:ENSG00000161981 +16,53423,Monocyte_CD14:ENSG00000161981 +16,655795,Monocyte_CD14:ENSG00000161996 +16,681725,Monocyte_CD14:ENSG00000161999 +16,2506575,Monocyte_CD14:ENSG00000162065 +16,2501146,Monocyte_CD14:ENSG00000162066 +16,2520290,Monocyte_CD14:ENSG00000162066 +16,2592202,Monocyte_CD14:ENSG00000162066 +16,2970292,Monocyte_CD14:ENSG00000162073 +16,2883279,Monocyte_CD14:ENSG00000162076 +16,2905879,Monocyte_CD14:ENSG00000162076 +16,2830104,Monocyte_CD14:ENSG00000162078 +16,2842769,Monocyte_CD14:ENSG00000162078 +16,2861415,Monocyte_CD14:ENSG00000162078 +16,4001379,Monocyte_CD14:ENSG00000162104 +16,50349166,Monocyte_CD14:ENSG00000166164 +16,50359520,Monocyte_CD14:ENSG00000166164 +16,80662193,Monocyte_CD14:ENSG00000166446 +16,80811005,Monocyte_CD14:ENSG00000166446 +16,81022836,Monocyte_CD14:ENSG00000166451 +16,81030782,Monocyte_CD14:ENSG00000166454 +16,81022836,Monocyte_CD14:ENSG00000166455 +16,23850892,Monocyte_CD14:ENSG00000166501 +16,66484130,Monocyte_CD14:ENSG00000166546 +16,66550099,Monocyte_CD14:ENSG00000166548 +16,66932084,Monocyte_CD14:ENSG00000166592 +16,10436210,Monocyte_CD14:ENSG00000166669 +16,20637380,Monocyte_CD14:ENSG00000166743 +16,71954061,Monocyte_CD14:ENSG00000166747 +16,15592914,Monocyte_CD14:ENSG00000166783 +16,75148456,Monocyte_CD14:ENSG00000166816 +16,75443816,Monocyte_CD14:ENSG00000166822 +16,23641948,Monocyte_CD14:ENSG00000166847 +16,23657247,Monocyte_CD14:ENSG00000166847 +16,23657247,Monocyte_CD14:ENSG00000166851 +16,53452125,Monocyte_CD14:ENSG00000166971 +16,19071713,Monocyte_CD14:ENSG00000167186 +16,50685763,Monocyte_CD14:ENSG00000167207 +16,50692911,Monocyte_CD14:ENSG00000167207 +16,50681274,Monocyte_CD14:ENSG00000167208 +16,50685763,Monocyte_CD14:ENSG00000167208 +16,50692911,Monocyte_CD14:ENSG00000167208 +16,68099449,Monocyte_CD14:ENSG00000167261 +16,68216688,Monocyte_CD14:ENSG00000167261 +16,68283158,Monocyte_CD14:ENSG00000167261 +16,68070326,Monocyte_CD14:ENSG00000167264 +16,68099360,Monocyte_CD14:ENSG00000167264 +16,71405763,Monocyte_CD14:ENSG00000167377 +16,31000500,Monocyte_CD14:ENSG00000167394 +16,31000500,Monocyte_CD14:ENSG00000167397 +16,88860813,Monocyte_CD14:ENSG00000167515 +16,89523652,Monocyte_CD14:ENSG00000167522 +16,89665616,Monocyte_CD14:ENSG00000167523 +16,89561665,Monocyte_CD14:ENSG00000167526 +16,89564222,Monocyte_CD14:ENSG00000167526 +16,89570380,Monocyte_CD14:ENSG00000167526 +16,253664,Monocyte_CD14:ENSG00000167930 +16,275555,Monocyte_CD14:ENSG00000167930 +16,2209190,Monocyte_CD14:ENSG00000167965 +16,2251519,Monocyte_CD14:ENSG00000167969 +16,2661821,Monocyte_CD14:ENSG00000167977 +16,74663061,Monocyte_CD14:ENSG00000168404 +16,74675335,Monocyte_CD14:ENSG00000168404 +16,74675692,Monocyte_CD14:ENSG00000168404 +16,74621252,Monocyte_CD14:ENSG00000168411 +16,74663061,Monocyte_CD14:ENSG00000168411 +16,69295687,Monocyte_CD14:ENSG00000168807 +16,27221459,Monocyte_CD14:ENSG00000169189 +16,27268748,Monocyte_CD14:ENSG00000169189 +16,30385580,Monocyte_CD14:ENSG00000169217 +16,29981787,Monocyte_CD14:ENSG00000169592 +16,28961947,Monocyte_CD14:ENSG00000169682 +16,29082509,Monocyte_CD14:ENSG00000169682 +16,56625613,Monocyte_CD14:ENSG00000169715 +16,31332349,Monocyte_CD14:ENSG00000169896 +16,31344336,Monocyte_CD14:ENSG00000169896 +16,18896782,Monocyte_CD14:ENSG00000170540 +16,11815055,Monocyte_CD14:ENSG00000171490 +16,1311274,Monocyte_CD14:ENSG00000172236 +16,585448,Monocyte_CD14:ENSG00000172366 +16,88039423,Monocyte_CD14:ENSG00000172530 +16,57149512,Monocyte_CD14:ENSG00000172775 +16,13920383,Monocyte_CD14:ENSG00000175595 +16,11336257,Monocyte_CD14:ENSG00000175643 +16,28553948,Monocyte_CD14:ENSG00000176476 +16,28591670,Monocyte_CD14:ENSG00000176476 +16,89093921,Monocyte_CD14:ENSG00000176715 +16,28967976,Monocyte_CD14:ENSG00000176953 +16,29082509,Monocyte_CD14:ENSG00000176953 +16,29166131,Monocyte_CD14:ENSG00000176953 +16,53245211,Monocyte_CD14:ENSG00000177200 +16,89972378,Monocyte_CD14:ENSG00000177946 +16,89972488,Monocyte_CD14:ENSG00000177946 +16,28812434,Monocyte_CD14:ENSG00000178188 +16,29763030,Monocyte_CD14:ENSG00000178188 +16,31036009,Monocyte_CD14:ENSG00000178226 +16,79328554,Monocyte_CD14:ENSG00000178573 +16,79472650,Monocyte_CD14:ENSG00000178573 +16,28812434,Monocyte_CD14:ENSG00000178952 +16,28846324,Monocyte_CD14:ENSG00000178952 +16,67214928,Monocyte_CD14:ENSG00000179044 +16,10923871,Monocyte_CD14:ENSG00000179583 +16,15075163,Monocyte_CD14:ENSG00000179889 +16,30474072,Monocyte_CD14:ENSG00000179918 +16,30380778,Monocyte_CD14:ENSG00000180096 +16,1845030,Monocyte_CD14:ENSG00000180185 +16,71210549,Monocyte_CD14:ENSG00000180917 +16,71247353,Monocyte_CD14:ENSG00000180917 +16,71309094,Monocyte_CD14:ENSG00000180917 +16,69726666,Monocyte_CD14:ENSG00000181019 +16,69729875,Monocyte_CD14:ENSG00000181019 +16,30172965,Monocyte_CD14:ENSG00000181625 +16,10923871,Monocyte_CD14:ENSG00000182108 +16,10942439,Monocyte_CD14:ENSG00000182108 +16,88727502,Monocyte_CD14:ENSG00000182376 +16,68359502,Monocyte_CD14:ENSG00000182810 +16,9099585,Monocyte_CD14:ENSG00000182831 +16,8661299,Monocyte_CD14:ENSG00000183044 +16,8661303,Monocyte_CD14:ENSG00000183044 +16,8672917,Monocyte_CD14:ENSG00000183044 +16,8729991,Monocyte_CD14:ENSG00000183044 +16,30312059,Monocyte_CD14:ENSG00000183336 +16,30340504,Monocyte_CD14:ENSG00000183336 +16,15129796,Monocyte_CD14:ENSG00000183426 +16,15014206,Monocyte_CD14:ENSG00000183793 +16,15036083,Monocyte_CD14:ENSG00000183793 +16,15233767,Monocyte_CD14:ENSG00000183793 +16,28826014,Monocyte_CD14:ENSG00000184110 +16,28827026,Monocyte_CD14:ENSG00000184110 +16,2213515,Monocyte_CD14:ENSG00000184207 +16,75148456,Monocyte_CD14:ENSG00000184517 +16,11613939,Monocyte_CD14:ENSG00000184602 +16,11669878,Monocyte_CD14:ENSG00000184602 +16,28495107,Monocyte_CD14:ENSG00000184730 +16,28501569,Monocyte_CD14:ENSG00000184730 +16,68535556,Monocyte_CD14:ENSG00000184939 +16,68555509,Monocyte_CD14:ENSG00000184939 +16,18533026,Monocyte_CD14:ENSG00000185164 +16,89686691,Monocyte_CD14:ENSG00000185324 +16,88692110,Monocyte_CD14:ENSG00000185669 +16,2506575,Monocyte_CD14:ENSG00000185883 +16,2519809,Monocyte_CD14:ENSG00000185883 +16,2541391,Monocyte_CD14:ENSG00000185883 +16,29739842,Monocyte_CD14:ENSG00000185905 +16,78099774,Monocyte_CD14:ENSG00000186153 +16,14029101,Monocyte_CD14:ENSG00000186260 +16,56625613,Monocyte_CD14:ENSG00000187193 +16,56682411,Monocyte_CD14:ENSG00000187193 +16,56682435,Monocyte_CD14:ENSG00000187193 +16,89765102,Monocyte_CD14:ENSG00000187741 +16,20916084,Monocyte_CD14:ENSG00000188215 +16,28495107,Monocyte_CD14:ENSG00000188603 +16,11578960,Monocyte_CD14:ENSG00000189067 +16,11584294,Monocyte_CD14:ENSG00000189067 +16,11598744,Monocyte_CD14:ENSG00000189067 +16,11613939,Monocyte_CD14:ENSG00000189067 +16,11637028,Monocyte_CD14:ENSG00000189067 +16,70553799,Monocyte_CD14:ENSG00000189091 +16,31029140,Monocyte_CD14:ENSG00000196118 +16,31692048,Monocyte_CD14:ENSG00000196118 +16,48395177,Monocyte_CD14:ENSG00000196470 +16,28543840,Monocyte_CD14:ENSG00000196502 +16,28551158,Monocyte_CD14:ENSG00000196502 +16,28553948,Monocyte_CD14:ENSG00000196502 +16,28584668,Monocyte_CD14:ENSG00000196502 +16,28589935,Monocyte_CD14:ENSG00000196502 +16,28603480,Monocyte_CD14:ENSG00000196502 +16,28605936,Monocyte_CD14:ENSG00000196502 +16,28609236,Monocyte_CD14:ENSG00000196502 +16,28609278,Monocyte_CD14:ENSG00000196502 +16,20742258,Monocyte_CD14:ENSG00000196678 +16,21628774,Monocyte_CD14:ENSG00000197006 +16,21772130,Monocyte_CD14:ENSG00000197006 +16,28520032,Monocyte_CD14:ENSG00000197165 +16,28543840,Monocyte_CD14:ENSG00000197165 +16,28483100,Monocyte_CD14:ENSG00000197272 +16,31849183,Monocyte_CD14:ENSG00000197302 +16,616151,Monocyte_CD14:ENSG00000197562 +16,1455891,Monocyte_CD14:ENSG00000197599 +16,1774074,Monocyte_CD14:ENSG00000197774 +16,89523652,Monocyte_CD14:ENSG00000197912 +16,30312059,Monocyte_CD14:ENSG00000198064 +16,28520032,Monocyte_CD14:ENSG00000198156 +16,69747186,Monocyte_CD14:ENSG00000198373 +16,56641587,Monocyte_CD14:ENSG00000198417 +16,55816655,Monocyte_CD14:ENSG00000198848 +16,55828215,Monocyte_CD14:ENSG00000198848 +16,55828642,Monocyte_CD14:ENSG00000198848 +16,55832425,Monocyte_CD14:ENSG00000198848 +16,55834169,Monocyte_CD14:ENSG00000198848 +16,55835176,Monocyte_CD14:ENSG00000198848 +16,88789676,Monocyte_CD14:ENSG00000198931 +16,88811949,Monocyte_CD14:ENSG00000198931 +16,88851665,Monocyte_CD14:ENSG00000198931 +16,89770373,Monocyte_CD14:ENSG00000204991 +16,88935022,Monocyte_CD14:ENSG00000205018 +16,88954244,Monocyte_CD14:ENSG00000205018 +16,77219327,Monocyte_CD14:ENSG00000205078 +16,66742283,Monocyte_CD14:ENSG00000205250 +16,19096455,Monocyte_CD14:ENSG00000205730 +16,19105471,Monocyte_CD14:ENSG00000205730 +16,19119086,Monocyte_CD14:ENSG00000205730 +16,19122421,Monocyte_CD14:ENSG00000205730 +16,19138482,Monocyte_CD14:ENSG00000205730 +16,19138674,Monocyte_CD14:ENSG00000205730 +16,1648527,Monocyte_CD14:ENSG00000206053 +16,68088366,Monocyte_CD14:ENSG00000213398 +16,29604530,Monocyte_CD14:ENSG00000213648 +16,28870930,Monocyte_CD14:ENSG00000213658 +16,3514091,Monocyte_CD14:ENSG00000213918 +16,3516362,Monocyte_CD14:ENSG00000213918 +16,2998390,Monocyte_CD14:ENSG00000213937 +16,66587500,Monocyte_CD14:ENSG00000217555 +16,70251998,Monocyte_CD14:ENSG00000223496 +16,88039423,Monocyte_CD14:ENSG00000224888 +16,88064966,Monocyte_CD14:ENSG00000225614 +16,673647,Monocyte_CD14:ENSG00000228201 +16,83847732,Monocyte_CD14:ENSG00000230989 +16,28520032,Monocyte_CD14:ENSG00000233232 +16,11976565,Monocyte_CD14:ENSG00000234719 +16,29850174,Monocyte_CD14:ENSG00000235560 +16,31099180,Monocyte_CD14:ENSG00000235560 +16,406416,Monocyte_CD14:ENSG00000242612 +16,22312886,Monocyte_CD14:ENSG00000243716 +16,22324221,Monocyte_CD14:ENSG00000243716 +16,22334134,Monocyte_CD14:ENSG00000243716 +16,22388292,Monocyte_CD14:ENSG00000243716 +16,22404829,Monocyte_CD14:ENSG00000243716 +16,54896091,Monocyte_CD14:ENSG00000245694 +16,66408503,Monocyte_CD14:ENSG00000246898 +16,70157320,Monocyte_CD14:ENSG00000247228 +16,28929595,Monocyte_CD14:ENSG00000251417 +16,30336931,Monocyte_CD14:ENSG00000254206 +16,1957727,Monocyte_CD14:ENSG00000255198 +16,89048698,Monocyte_CD14:ENSG00000256982 +16,72045008,Monocyte_CD14:ENSG00000257017 +16,72054432,Monocyte_CD14:ENSG00000257017 +16,72098165,Monocyte_CD14:ENSG00000257017 +16,15075163,Monocyte_CD14:ENSG00000257391 +16,89201968,Monocyte_CD14:ENSG00000259803 +16,29196834,Monocyte_CD14:ENSG00000259807 +16,89229460,Monocyte_CD14:ENSG00000259877 +16,8841722,Monocyte_CD14:ENSG00000259939 +16,74321215,Monocyte_CD14:ENSG00000259972 +16,74324644,Monocyte_CD14:ENSG00000259972 +16,84030905,Monocyte_CD14:ENSG00000260018 +16,48633215,Monocyte_CD14:ENSG00000260052 +16,48633215,Monocyte_CD14:ENSG00000260086 +16,88731220,Monocyte_CD14:ENSG00000260121 +16,55376862,Monocyte_CD14:ENSG00000260135 +16,55446098,Monocyte_CD14:ENSG00000260135 +16,81022836,Monocyte_CD14:ENSG00000260213 +16,31332349,Monocyte_CD14:ENSG00000260219 +16,83803678,Monocyte_CD14:ENSG00000260228 +16,8835183,Monocyte_CD14:ENSG00000260276 +16,20970842,Monocyte_CD14:ENSG00000260306 +16,932572,Monocyte_CD14:ENSG00000260316 +16,9107053,Monocyte_CD14:ENSG00000260349 +16,87368655,Monocyte_CD14:ENSG00000260456 +16,89705966,Monocyte_CD14:ENSG00000260507 +16,29166131,Monocyte_CD14:ENSG00000260517 +16,90082957,Monocyte_CD14:ENSG00000260528 +16,2661821,Monocyte_CD14:ENSG00000260565 +16,2684792,Monocyte_CD14:ENSG00000260565 +16,20332383,Monocyte_CD14:ENSG00000260592 +16,88663262,Monocyte_CD14:ENSG00000260630 +16,88692110,Monocyte_CD14:ENSG00000260630 +16,66484130,Monocyte_CD14:ENSG00000260755 +16,66587500,Monocyte_CD14:ENSG00000260755 +16,2273393,Monocyte_CD14:ENSG00000260778 +16,78266294,Monocyte_CD14:ENSG00000260816 +16,28929595,Monocyte_CD14:ENSG00000260853 +16,71811946,Monocyte_CD14:ENSG00000260886 +16,31036009,Monocyte_CD14:ENSG00000260911 +16,58163061,Monocyte_CD14:ENSG00000260927 +16,58170859,Monocyte_CD14:ENSG00000260927 +16,29304771,Monocyte_CD14:ENSG00000260953 +16,30340504,Monocyte_CD14:ENSG00000261052 +16,74393061,Monocyte_CD14:ENSG00000261079 +16,23199828,Monocyte_CD14:ENSG00000261113 +16,89523652,Monocyte_CD14:ENSG00000261118 +16,2605840,Monocyte_CD14:ENSG00000261140 +16,2684792,Monocyte_CD14:ENSG00000261140 +16,12758297,Monocyte_CD14:ENSG00000261158 +16,11891344,Monocyte_CD14:ENSG00000261216 +16,81738931,Monocyte_CD14:ENSG00000261218 +16,81739010,Monocyte_CD14:ENSG00000261218 +16,81739421,Monocyte_CD14:ENSG00000261218 +16,79772184,Monocyte_CD14:ENSG00000261390 +16,1321153,Monocyte_CD14:ENSG00000261505 +16,11871533,Monocyte_CD14:ENSG00000261560 +16,21628774,Monocyte_CD14:ENSG00000261596 +16,2605840,Monocyte_CD14:ENSG00000261613 +16,2684792,Monocyte_CD14:ENSG00000261613 +16,1455891,Monocyte_CD14:ENSG00000261641 +16,50740427,Monocyte_CD14:ENSG00000261644 +16,24819518,Monocyte_CD14:ENSG00000261669 +16,19121652,Monocyte_CD14:ENSG00000261759 +16,28846324,Monocyte_CD14:ENSG00000261766 +16,75394658,Monocyte_CD14:ENSG00000261783 +16,81074143,Monocyte_CD14:ENSG00000261838 +16,3086918,Monocyte_CD14:ENSG00000261889 +16,3057920,Monocyte_CD14:ENSG00000261971 +16,14008944,Monocyte_CD14:ENSG00000262097 +16,14029101,Monocyte_CD14:ENSG00000262097 +16,25070963,Monocyte_CD14:ENSG00000262155 +16,3972693,Monocyte_CD14:ENSG00000262185 +16,4421290,Monocyte_CD14:ENSG00000262246 +16,3078976,Monocyte_CD14:ENSG00000262370 +16,3461490,Monocyte_CD14:ENSG00000262712 +16,53373594,Monocyte_CD14:ENSG00000262714 +16,3132409,Monocyte_CD14:ENSG00000263072 +16,3675921,Monocyte_CD14:ENSG00000263235 +16,68070326,Monocyte_CD14:ENSG00000263276 +16,15727389,Monocyte_CD14:ENSG00000263335 +16,4803815,Monocyte_CD14:ENSG00000267795 +16,89279000,Monocyte_CD14:ENSG00000268218 +16,174620,Monocyte_CD14:ENSG00000268836 +16,2605840,Monocyte_CD14:ENSG00000269937 +16,2684792,Monocyte_CD14:ENSG00000269937 +16,86524039,Monocyte_CD14:ENSG00000270020 +16,67481485,Monocyte_CD14:ENSG00000270049 +16,50687006,Monocyte_CD14:ENSG00000270120 +16,2998390,Monocyte_CD14:ENSG00000272079 +16,29166131,Monocyte_CD14:ENSG00000273582 +16,29233216,Monocyte_CD14:ENSG00000273582 +16,56515109,Monocyte_CD14:ENSG00000274031 +16,27344041,Monocyte_CD14:ENSG00000274092 +16,25360212,Monocyte_CD14:ENSG00000274925 +16,85759282,Monocyte_CD14:ENSG00000275393 +16,85759361,Monocyte_CD14:ENSG00000275393 +16,28582379,Monocyte_CD14:ENSG00000275441 +16,28520032,Monocyte_CD14:ENSG00000275807 +16,78118045,Monocyte_CD14:ENSG00000276007 +16,87368655,Monocyte_CD14:ENSG00000276337 +16,11807469,Monocyte_CD14:ENSG00000277369 +16,29166131,Monocyte_CD14:ENSG00000277999 +16,29262299,Monocyte_CD14:ENSG00000277999 +16,30868129,Monocyte_CD14:ENSG00000278133 +16,88731220,Monocyte_CD14:ENSG00000278341 +16,84935038,Monocyte_CD14:ENSG00000279622 +16,29815217,Monocyte_CD14:ENSG00000280789 +16,85759361,Monocyte_CD14:ENSG00000287125 +13,77026400,Monocyte_CD14:ENSG00000005812 +13,77398715,Monocyte_CD14:ENSG00000005812 +13,42279169,Monocyte_CD14:ENSG00000023516 +13,42279216,Monocyte_CD14:ENSG00000023516 +13,20567185,Monocyte_CD14:ENSG00000032742 +13,20588801,Monocyte_CD14:ENSG00000032742 +13,112881427,Monocyte_CD14:ENSG00000068650 +13,31876754,Monocyte_CD14:ENSG00000073910 +13,73020119,Monocyte_CD14:ENSG00000083535 +13,60479937,Monocyte_CD14:ENSG00000083544 +13,110915159,Monocyte_CD14:ENSG00000088448 +13,46377332,Monocyte_CD14:ENSG00000102445 +13,46427117,Monocyte_CD14:ENSG00000102445 +13,108266519,Monocyte_CD14:ENSG00000102524 +13,108284367,Monocyte_CD14:ENSG00000102524 +13,108343101,Monocyte_CD14:ENSG00000102524 +13,48854006,Monocyte_CD14:ENSG00000102531 +13,48890254,Monocyte_CD14:ENSG00000102531 +13,49152512,Monocyte_CD14:ENSG00000102531 +13,49447953,Monocyte_CD14:ENSG00000102547 +13,73241762,Monocyte_CD14:ENSG00000102554 +13,73335134,Monocyte_CD14:ENSG00000102554 +13,73335185,Monocyte_CD14:ENSG00000102554 +13,98460912,Monocyte_CD14:ENSG00000102572 +13,95937806,Monocyte_CD14:ENSG00000102595 +13,96053444,Monocyte_CD14:ENSG00000102595 +13,111148277,Monocyte_CD14:ENSG00000102606 +13,111195294,Monocyte_CD14:ENSG00000102606 +13,24456494,Monocyte_CD14:ENSG00000102699 +13,24456976,Monocyte_CD14:ENSG00000102699 +13,24465983,Monocyte_CD14:ENSG00000102699 +13,24485159,Monocyte_CD14:ENSG00000102699 +13,24503664,Monocyte_CD14:ENSG00000102699 +13,24559963,Monocyte_CD14:ENSG00000102699 +13,37060136,Monocyte_CD14:ENSG00000102710 +13,40830157,Monocyte_CD14:ENSG00000102738 +13,49728472,Monocyte_CD14:ENSG00000102753 +13,41961121,Monocyte_CD14:ENSG00000102763 +13,30371795,Monocyte_CD14:ENSG00000102781 +13,51613171,Monocyte_CD14:ENSG00000102786 +13,51829136,Monocyte_CD14:ENSG00000102796 +13,76981065,Monocyte_CD14:ENSG00000102805 +13,43023570,Monocyte_CD14:ENSG00000120675 +13,43085064,Monocyte_CD14:ENSG00000120675 +13,38363496,Monocyte_CD14:ENSG00000120686 +13,40939489,Monocyte_CD14:ENSG00000120690 +13,31161049,Monocyte_CD14:ENSG00000120694 +13,41160054,Monocyte_CD14:ENSG00000120696 +13,36974579,Monocyte_CD14:ENSG00000120699 +13,20122531,Monocyte_CD14:ENSG00000121741 +13,28098314,Monocyte_CD14:ENSG00000122025 +13,27175176,Monocyte_CD14:ENSG00000122026 +13,27260023,Monocyte_CD14:ENSG00000122026 +13,27309477,Monocyte_CD14:ENSG00000122026 +13,27424632,Monocyte_CD14:ENSG00000122033 +13,27424632,Monocyte_CD14:ENSG00000122034 +13,27234991,Monocyte_CD14:ENSG00000122035 +13,27260023,Monocyte_CD14:ENSG00000122035 +13,27309477,Monocyte_CD14:ENSG00000122035 +13,29780675,Monocyte_CD14:ENSG00000122042 +13,49666733,Monocyte_CD14:ENSG00000123179 +13,49691525,Monocyte_CD14:ENSG00000123179 +13,49709253,Monocyte_CD14:ENSG00000123179 +13,52092221,Monocyte_CD14:ENSG00000123191 +13,46022607,Monocyte_CD14:ENSG00000123200 +13,99375970,Monocyte_CD14:ENSG00000125245 +13,99657961,Monocyte_CD14:ENSG00000125246 +13,100669768,Monocyte_CD14:ENSG00000125247 +13,100675198,Monocyte_CD14:ENSG00000125247 +13,97384706,Monocyte_CD14:ENSG00000125249 +13,97420139,Monocyte_CD14:ENSG00000125249 +13,97467986,Monocyte_CD14:ENSG00000125249 +13,95285289,Monocyte_CD14:ENSG00000125257 +13,95290307,Monocyte_CD14:ENSG00000125257 +13,99465539,Monocyte_CD14:ENSG00000125304 +13,114242563,Monocyte_CD14:ENSG00000130177 +13,19677147,Monocyte_CD14:ENSG00000132950 +13,30729828,Monocyte_CD14:ENSG00000132965 +13,30738041,Monocyte_CD14:ENSG00000132965 +13,39642103,Monocyte_CD14:ENSG00000133103 +13,39655607,Monocyte_CD14:ENSG00000133103 +13,36319273,Monocyte_CD14:ENSG00000133104 +13,42976107,Monocyte_CD14:ENSG00000133106 +13,42992237,Monocyte_CD14:ENSG00000133106 +13,45321304,Monocyte_CD14:ENSG00000133112 +13,45329871,Monocyte_CD14:ENSG00000133112 +13,33121565,Monocyte_CD14:ENSG00000133116 +13,33758895,Monocyte_CD14:ENSG00000133119 +13,33121565,Monocyte_CD14:ENSG00000133121 +13,100540420,Monocyte_CD14:ENSG00000134864 +13,99343761,Monocyte_CD14:ENSG00000134882 +13,102800565,Monocyte_CD14:ENSG00000134897 +13,102876934,Monocyte_CD14:ENSG00000134899 +13,102605728,Monocyte_CD14:ENSG00000134900 +13,110659582,Monocyte_CD14:ENSG00000134905 +13,110667537,Monocyte_CD14:ENSG00000134905 +13,110750675,Monocyte_CD14:ENSG00000134905 +13,52142053,Monocyte_CD14:ENSG00000136098 +13,52365426,Monocyte_CD14:ENSG00000136100 +13,52376452,Monocyte_CD14:ENSG00000136100 +13,52465966,Monocyte_CD14:ENSG00000136100 +13,50889865,Monocyte_CD14:ENSG00000136104 +13,50892539,Monocyte_CD14:ENSG00000136104 +13,50909867,Monocyte_CD14:ENSG00000136104 +13,50968073,Monocyte_CD14:ENSG00000136104 +13,52466687,Monocyte_CD14:ENSG00000136108 +13,52705623,Monocyte_CD14:ENSG00000136108 +13,75327342,Monocyte_CD14:ENSG00000136111 +13,72727908,Monocyte_CD14:ENSG00000136122 +13,47951989,Monocyte_CD14:ENSG00000136143 +13,49527390,Monocyte_CD14:ENSG00000136144 +13,49612023,Monocyte_CD14:ENSG00000136144 +13,49527518,Monocyte_CD14:ENSG00000136147 +13,48144610,Monocyte_CD14:ENSG00000136156 +13,48154271,Monocyte_CD14:ENSG00000136156 +13,48196920,Monocyte_CD14:ENSG00000136156 +13,48583860,Monocyte_CD14:ENSG00000136161 +13,46132101,Monocyte_CD14:ENSG00000136167 +13,46137498,Monocyte_CD14:ENSG00000136167 +13,46170502,Monocyte_CD14:ENSG00000136167 +13,46171434,Monocyte_CD14:ENSG00000136167 +13,46200626,Monocyte_CD14:ENSG00000136167 +13,49444704,Monocyte_CD14:ENSG00000136169 +13,25287058,Monocyte_CD14:ENSG00000139496 +13,25341921,Monocyte_CD14:ENSG00000139496 +13,25365934,Monocyte_CD14:ENSG00000139496 +13,25271722,Monocyte_CD14:ENSG00000139505 +13,32316435,Monocyte_CD14:ENSG00000139618 +13,51613171,Monocyte_CD14:ENSG00000139668 +13,48485821,Monocyte_CD14:ENSG00000139679 +13,46796689,Monocyte_CD14:ENSG00000139684 +13,48233996,Monocyte_CD14:ENSG00000139687 +13,79373424,Monocyte_CD14:ENSG00000139746 +13,79406474,Monocyte_CD14:ENSG00000139746 +13,97223779,Monocyte_CD14:ENSG00000139793 +13,108261008,Monocyte_CD14:ENSG00000139826 +13,110523506,Monocyte_CD14:ENSG00000139832 +13,113492022,Monocyte_CD14:ENSG00000150403 +13,113503763,Monocyte_CD14:ENSG00000150403 +13,113522050,Monocyte_CD14:ENSG00000150403 +13,20762162,Monocyte_CD14:ENSG00000150456 +13,21074873,Monocyte_CD14:ENSG00000150457 +13,21140781,Monocyte_CD14:ENSG00000150459 +13,51174665,Monocyte_CD14:ENSG00000150510 +13,51222707,Monocyte_CD14:ENSG00000150510 +13,40399886,Monocyte_CD14:ENSG00000150907 +13,40428504,Monocyte_CD14:ENSG00000150907 +13,43874386,Monocyte_CD14:ENSG00000151773 +13,43879344,Monocyte_CD14:ENSG00000151773 +13,43899845,Monocyte_CD14:ENSG00000151773 +13,43900634,Monocyte_CD14:ENSG00000151773 +13,43905686,Monocyte_CD14:ENSG00000151773 +13,43912403,Monocyte_CD14:ENSG00000151773 +13,43913372,Monocyte_CD14:ENSG00000151773 +13,43936804,Monocyte_CD14:ENSG00000151773 +13,23375519,Monocyte_CD14:ENSG00000151835 +13,24958167,Monocyte_CD14:ENSG00000151849 +13,78428811,Monocyte_CD14:ENSG00000152193 +13,78659292,Monocyte_CD14:ENSG00000152193 +13,48627111,Monocyte_CD14:ENSG00000152207 +13,49632192,Monocyte_CD14:ENSG00000152213 +13,27309477,Monocyte_CD14:ENSG00000152484 +13,94590273,Monocyte_CD14:ENSG00000152749 +13,94601666,Monocyte_CD14:ENSG00000152749 +13,98460912,Monocyte_CD14:ENSG00000152767 +13,110667537,Monocyte_CD14:ENSG00000153487 +13,52675279,Monocyte_CD14:ENSG00000165416 +13,20514578,Monocyte_CD14:ENSG00000165475 +13,21162368,Monocyte_CD14:ENSG00000165480 +13,114196008,Monocyte_CD14:ENSG00000169062 +13,114267253,Monocyte_CD14:ENSG00000169062 +13,114298468,Monocyte_CD14:ENSG00000169062 +13,114305076,Monocyte_CD14:ENSG00000169062 +13,99404524,Monocyte_CD14:ENSG00000169508 +13,45318946,Monocyte_CD14:ENSG00000170919 +13,45346318,Monocyte_CD14:ENSG00000170919 +13,41308490,Monocyte_CD14:ENSG00000172766 +13,35000593,Monocyte_CD14:ENSG00000172915 +13,21176913,Monocyte_CD14:ENSG00000173141 +13,100349375,Monocyte_CD14:ENSG00000175198 +13,50718901,Monocyte_CD14:ENSG00000176124 +13,76764630,Monocyte_CD14:ENSG00000178695 +13,76822774,Monocyte_CD14:ENSG00000178695 +13,76846381,Monocyte_CD14:ENSG00000178695 +13,76880247,Monocyte_CD14:ENSG00000178695 +13,76884093,Monocyte_CD14:ENSG00000178695 +13,43899730,Monocyte_CD14:ENSG00000179630 +13,43936804,Monocyte_CD14:ENSG00000179630 +13,21344705,Monocyte_CD14:ENSG00000180776 +13,21459644,Monocyte_CD14:ENSG00000180776 +13,21551659,Monocyte_CD14:ENSG00000180776 +13,24253606,Monocyte_CD14:ENSG00000182957 +13,24278988,Monocyte_CD14:ENSG00000182957 +13,24279855,Monocyte_CD14:ENSG00000182957 +13,113931211,Monocyte_CD14:ENSG00000183087 +13,39414576,Monocyte_CD14:ENSG00000183722 +13,113799443,Monocyte_CD14:ENSG00000184497 +13,113272893,Monocyte_CD14:ENSG00000185896 +13,109361785,Monocyte_CD14:ENSG00000185950 +13,114079770,Monocyte_CD14:ENSG00000185989 +13,50713272,Monocyte_CD14:ENSG00000186047 +13,50714580,Monocyte_CD14:ENSG00000186047 +13,27604828,Monocyte_CD14:ENSG00000186184 +13,27621896,Monocyte_CD14:ENSG00000186184 +13,75518631,Monocyte_CD14:ENSG00000188243 +13,45120004,Monocyte_CD14:ENSG00000188342 +13,39018499,Monocyte_CD14:ENSG00000188811 +13,30464514,Monocyte_CD14:ENSG00000189403 +13,19684312,Monocyte_CD14:ENSG00000196199 +13,113597133,Monocyte_CD14:ENSG00000198176 +13,49951173,Monocyte_CD14:ENSG00000204977 +13,23845318,Monocyte_CD14:ENSG00000205861 +13,110634910,Monocyte_CD14:ENSG00000213995 +13,110638017,Monocyte_CD14:ENSG00000213995 +13,100540420,Monocyte_CD14:ENSG00000224356 +13,21324059,Monocyte_CD14:ENSG00000224429 +13,21343214,Monocyte_CD14:ENSG00000224429 +13,21344705,Monocyte_CD14:ENSG00000224429 +13,44137489,Monocyte_CD14:ENSG00000227258 +13,79379543,Monocyte_CD14:ENSG00000227354 +13,79406474,Monocyte_CD14:ENSG00000227354 +13,33676841,Monocyte_CD14:ENSG00000230490 +13,33758895,Monocyte_CD14:ENSG00000230490 +13,50313119,Monocyte_CD14:ENSG00000231607 +13,50892539,Monocyte_CD14:ENSG00000233672 +13,50910481,Monocyte_CD14:ENSG00000233672 +13,113813779,Monocyte_CD14:ENSG00000233695 +13,113816318,Monocyte_CD14:ENSG00000233695 +13,113824886,Monocyte_CD14:ENSG00000233695 +13,21025406,Monocyte_CD14:ENSG00000233851 +13,51461027,Monocyte_CD14:ENSG00000236778 +13,44111406,Monocyte_CD14:ENSG00000237361 +13,44363595,Monocyte_CD14:ENSG00000237361 +13,32027664,Monocyte_CD14:ENSG00000237637 +13,95675663,Monocyte_CD14:ENSG00000247400 +13,52051335,Monocyte_CD14:ENSG00000253710 +13,52428723,Monocyte_CD14:ENSG00000253710 +13,110854099,Monocyte_CD14:ENSG00000255874 +13,46321756,Monocyte_CD14:ENSG00000261097 +13,45860333,Monocyte_CD14:ENSG00000273149 +13,43879344,Monocyte_CD14:ENSG00000274001 +13,43900634,Monocyte_CD14:ENSG00000274001 +13,112688857,Monocyte_CD14:ENSG00000274922 +13,112688892,Monocyte_CD14:ENSG00000274922 +13,48975435,Monocyte_CD14:ENSG00000275202 +13,19753615,Monocyte_CD14:ENSG00000275964 +13,113507250,Monocyte_CD14:ENSG00000276248 +13,71932716,Monocyte_CD14:ENSG00000276644 +13,33758895,Monocyte_CD14:ENSG00000276672 +13,48076585,Monocyte_CD14:ENSG00000276968 +13,48233996,Monocyte_CD14:ENSG00000277684 +13,110913860,Monocyte_CD14:ENSG00000277767 +13,110923238,Monocyte_CD14:ENSG00000277767 +13,52220651,Monocyte_CD14:ENSG00000278238 +13,32611503,Monocyte_CD14:ENSG00000281026 +13,99432709,Monocyte_CD14:ENSG00000285448 +13,109731177,Monocyte_CD14:ENSG00000285534 +13,109731458,Monocyte_CD14:ENSG00000285534 +13,76740262,Monocyte_CD14:ENSG00000285572 +13,24559963,Monocyte_CD14:ENSG00000287376 +13,40874209,Monocyte_CD14:ENSG00000287837 +19,35770888,Monocyte_CD14:ENSG00000004777 +19,18587209,Monocyte_CD14:ENSG00000006015 +19,45286743,Monocyte_CD14:ENSG00000007047 +19,17942531,Monocyte_CD14:ENSG00000007080 +19,41586462,Monocyte_CD14:ENSG00000007129 +19,45106254,Monocyte_CD14:ENSG00000007255 +19,4352962,Monocyte_CD14:ENSG00000008382 +19,43691031,Monocyte_CD14:ENSG00000011422 +19,46350798,Monocyte_CD14:ENSG00000011485 +19,46392960,Monocyte_CD14:ENSG00000011485 +19,35908331,Monocyte_CD14:ENSG00000011600 +19,45404702,Monocyte_CD14:ENSG00000012061 +19,45423658,Monocyte_CD14:ENSG00000012061 +19,54962842,Monocyte_CD14:ENSG00000022556 +19,55000548,Monocyte_CD14:ENSG00000022556 +19,13761783,Monocyte_CD14:ENSG00000037757 +19,13764478,Monocyte_CD14:ENSG00000037757 +19,13768530,Monocyte_CD14:ENSG00000037757 +19,49859029,Monocyte_CD14:ENSG00000039650 +19,49883083,Monocyte_CD14:ENSG00000039650 +19,46838237,Monocyte_CD14:ENSG00000042753 +19,46926541,Monocyte_CD14:ENSG00000042753 +19,18939159,Monocyte_CD14:ENSG00000051128 +19,3136093,Monocyte_CD14:ENSG00000060558 +19,49354823,Monocyte_CD14:ENSG00000063127 +19,48304660,Monocyte_CD14:ENSG00000063177 +19,48619183,Monocyte_CD14:ENSG00000063177 +19,48692509,Monocyte_CD14:ENSG00000063177 +19,48940193,Monocyte_CD14:ENSG00000063177 +19,48639768,Monocyte_CD14:ENSG00000063180 +19,55461189,Monocyte_CD14:ENSG00000063241 +19,55672317,Monocyte_CD14:ENSG00000063244 +19,55716701,Monocyte_CD14:ENSG00000063245 +19,55766640,Monocyte_CD14:ENSG00000063245 +19,39404470,Monocyte_CD14:ENSG00000063322 +19,19219744,Monocyte_CD14:ENSG00000064490 +19,19629920,Monocyte_CD14:ENSG00000064547 +19,19630483,Monocyte_CD14:ENSG00000064547 +19,19642483,Monocyte_CD14:ENSG00000064547 +19,18972674,Monocyte_CD14:ENSG00000064607 +19,1021635,Monocyte_CD14:ENSG00000064666 +19,1033560,Monocyte_CD14:ENSG00000064666 +19,1036315,Monocyte_CD14:ENSG00000064666 +19,1038290,Monocyte_CD14:ENSG00000064666 +19,1039147,Monocyte_CD14:ENSG00000064666 +19,1038290,Monocyte_CD14:ENSG00000064687 +19,1046077,Monocyte_CD14:ENSG00000064687 +19,2106697,Monocyte_CD14:ENSG00000065000 +19,987365,Monocyte_CD14:ENSG00000065268 +19,987817,Monocyte_CD14:ENSG00000065268 +19,10355447,Monocyte_CD14:ENSG00000065989 +19,10430708,Monocyte_CD14:ENSG00000065989 +19,10456029,Monocyte_CD14:ENSG00000065989 +19,10458207,Monocyte_CD14:ENSG00000065989 +19,38832452,Monocyte_CD14:ENSG00000068903 +19,663929,Monocyte_CD14:ENSG00000070404 +19,672265,Monocyte_CD14:ENSG00000070404 +19,640863,Monocyte_CD14:ENSG00000070423 +19,1653121,Monocyte_CD14:ENSG00000071564 +19,14136720,Monocyte_CD14:ENSG00000072071 +19,16667289,Monocyte_CD14:ENSG00000072954 +19,16229469,Monocyte_CD14:ENSG00000072958 +19,44539910,Monocyte_CD14:ENSG00000073008 +19,44618835,Monocyte_CD14:ENSG00000073008 +19,44686891,Monocyte_CD14:ENSG00000073008 +19,43501293,Monocyte_CD14:ENSG00000073050 +19,4656454,Monocyte_CD14:ENSG00000074842 +19,32977504,Monocyte_CD14:ENSG00000076650 +19,10338716,Monocyte_CD14:ENSG00000076662 +19,10580709,Monocyte_CD14:ENSG00000076662 +19,7616381,Monocyte_CD14:ENSG00000076924 +19,7634673,Monocyte_CD14:ENSG00000076944 +19,7645383,Monocyte_CD14:ENSG00000076944 +19,7646743,Monocyte_CD14:ENSG00000076944 +19,7652155,Monocyte_CD14:ENSG00000076944 +19,42500944,Monocyte_CD14:ENSG00000079385 +19,10672351,Monocyte_CD14:ENSG00000079805 +19,10488406,Monocyte_CD14:ENSG00000079999 +19,19826104,Monocyte_CD14:ENSG00000081665 +19,19835828,Monocyte_CD14:ENSG00000081665 +19,19896465,Monocyte_CD14:ENSG00000081665 +19,57790234,Monocyte_CD14:ENSG00000083828 +19,57206082,Monocyte_CD14:ENSG00000083844 +19,57234431,Monocyte_CD14:ENSG00000083844 +19,58387069,Monocyte_CD14:ENSG00000083845 +19,58393029,Monocyte_CD14:ENSG00000083845 +19,48875071,Monocyte_CD14:ENSG00000087074 +19,48959451,Monocyte_CD14:ENSG00000087086 +19,48959992,Monocyte_CD14:ENSG00000087086 +19,48960027,Monocyte_CD14:ENSG00000087088 +19,6059961,Monocyte_CD14:ENSG00000087903 +19,48589294,Monocyte_CD14:ENSG00000088002 +19,55000548,Monocyte_CD14:ENSG00000088053 +19,3099031,Monocyte_CD14:ENSG00000088256 +19,35154566,Monocyte_CD14:ENSG00000089327 +19,35163952,Monocyte_CD14:ENSG00000089327 +19,35172833,Monocyte_CD14:ENSG00000089327 +19,35186459,Monocyte_CD14:ENSG00000089327 +19,34677686,Monocyte_CD14:ENSG00000089335 +19,34678059,Monocyte_CD14:ENSG00000089335 +19,35016859,Monocyte_CD14:ENSG00000089351 +19,19629920,Monocyte_CD14:ENSG00000089639 +19,40590705,Monocyte_CD14:ENSG00000090006 +19,40620542,Monocyte_CD14:ENSG00000090006 +19,40461931,Monocyte_CD14:ENSG00000090013 +19,10286562,Monocyte_CD14:ENSG00000090339 +19,46751283,Monocyte_CD14:ENSG00000090372 +19,7714967,Monocyte_CD14:ENSG00000090659 +19,8207968,Monocyte_CD14:ENSG00000090661 +19,8242421,Monocyte_CD14:ENSG00000090661 +19,7491138,Monocyte_CD14:ENSG00000090674 +19,39431548,Monocyte_CD14:ENSG00000090924 +19,12775664,Monocyte_CD14:ENSG00000095066 +19,18086934,Monocyte_CD14:ENSG00000096996 +19,10836325,Monocyte_CD14:ENSG00000099203 +19,18107634,Monocyte_CD14:ENSG00000099308 +19,17224058,Monocyte_CD14:ENSG00000099330 +19,17226746,Monocyte_CD14:ENSG00000099330 +19,17108653,Monocyte_CD14:ENSG00000099331 +19,38264452,Monocyte_CD14:ENSG00000099337 +19,38319751,Monocyte_CD14:ENSG00000099337 +19,38319829,Monocyte_CD14:ENSG00000099337 +19,38336839,Monocyte_CD14:ENSG00000099338 +19,38375163,Monocyte_CD14:ENSG00000099341 +19,1268995,Monocyte_CD14:ENSG00000099622 +19,1242049,Monocyte_CD14:ENSG00000099624 +19,8463393,Monocyte_CD14:ENSG00000099785 +19,14784782,Monocyte_CD14:ENSG00000099795 +19,2386233,Monocyte_CD14:ENSG00000099800 +19,563639,Monocyte_CD14:ENSG00000099804 +19,1060638,Monocyte_CD14:ENSG00000099817 +19,1095717,Monocyte_CD14:ENSG00000099817 +19,2082679,Monocyte_CD14:ENSG00000099840 +19,2628527,Monocyte_CD14:ENSG00000099860 +19,663373,Monocyte_CD14:ENSG00000099864 +19,2037847,Monocyte_CD14:ENSG00000099875 +19,2051262,Monocyte_CD14:ENSG00000099875 +19,11579096,Monocyte_CD14:ENSG00000102575 +19,11581093,Monocyte_CD14:ENSG00000102575 +19,12621060,Monocyte_CD14:ENSG00000104774 +19,12657577,Monocyte_CD14:ENSG00000104774 +19,43777633,Monocyte_CD14:ENSG00000104783 +19,43777746,Monocyte_CD14:ENSG00000104783 +19,48900308,Monocyte_CD14:ENSG00000104804 +19,48898683,Monocyte_CD14:ENSG00000104805 +19,48900308,Monocyte_CD14:ENSG00000104805 +19,48923231,Monocyte_CD14:ENSG00000104805 +19,49017606,Monocyte_CD14:ENSG00000104812 +19,38545776,Monocyte_CD14:ENSG00000104814 +19,38832452,Monocyte_CD14:ENSG00000104823 +19,38844190,Monocyte_CD14:ENSG00000104824 +19,38922116,Monocyte_CD14:ENSG00000104825 +19,38930748,Monocyte_CD14:ENSG00000104835 +19,49085489,Monocyte_CD14:ENSG00000104852 +19,45165452,Monocyte_CD14:ENSG00000104866 +19,49487099,Monocyte_CD14:ENSG00000104870 +19,49513491,Monocyte_CD14:ENSG00000104870 +19,49513502,Monocyte_CD14:ENSG00000104870 +19,49450861,Monocyte_CD14:ENSG00000104872 +19,45286743,Monocyte_CD14:ENSG00000104879 +19,45312952,Monocyte_CD14:ENSG00000104879 +19,7350967,Monocyte_CD14:ENSG00000104880 +19,7491138,Monocyte_CD14:ENSG00000104883 +19,45384395,Monocyte_CD14:ENSG00000104884 +19,2231058,Monocyte_CD14:ENSG00000104886 +19,46209360,Monocyte_CD14:ENSG00000104892 +19,49333989,Monocyte_CD14:ENSG00000104894 +19,13080832,Monocyte_CD14:ENSG00000104903 +19,2266822,Monocyte_CD14:ENSG00000104904 +19,2273225,Monocyte_CD14:ENSG00000104904 +19,2312020,Monocyte_CD14:ENSG00000104904 +19,13122999,Monocyte_CD14:ENSG00000104915 +19,13145431,Monocyte_CD14:ENSG00000104915 +19,7652155,Monocyte_CD14:ENSG00000104918 +19,7668969,Monocyte_CD14:ENSG00000104918 +19,7669115,Monocyte_CD14:ENSG00000104918 +19,7669625,Monocyte_CD14:ENSG00000104918 +19,7670411,Monocyte_CD14:ENSG00000104918 +19,7674175,Monocyte_CD14:ENSG00000104918 +19,7699550,Monocyte_CD14:ENSG00000104921 +19,7700101,Monocyte_CD14:ENSG00000104921 +19,7739271,Monocyte_CD14:ENSG00000104921 +19,49883083,Monocyte_CD14:ENSG00000104946 +19,49860328,Monocyte_CD14:ENSG00000104960 +19,2992165,Monocyte_CD14:ENSG00000104964 +19,3061346,Monocyte_CD14:ENSG00000104964 +19,3061465,Monocyte_CD14:ENSG00000104964 +19,3062859,Monocyte_CD14:ENSG00000104964 +19,2756185,Monocyte_CD14:ENSG00000104969 +19,2775725,Monocyte_CD14:ENSG00000104969 +19,54296648,Monocyte_CD14:ENSG00000104972 +19,54607762,Monocyte_CD14:ENSG00000104972 +19,54612348,Monocyte_CD14:ENSG00000104972 +19,54624360,Monocyte_CD14:ENSG00000104972 +19,54634655,Monocyte_CD14:ENSG00000104972 +19,54640818,Monocyte_CD14:ENSG00000104972 +19,54646084,Monocyte_CD14:ENSG00000104972 +19,54296648,Monocyte_CD14:ENSG00000104974 +19,54592332,Monocyte_CD14:ENSG00000104974 +19,54607399,Monocyte_CD14:ENSG00000104974 +19,54623856,Monocyte_CD14:ENSG00000104974 +19,7923232,Monocyte_CD14:ENSG00000104976 +19,13773507,Monocyte_CD14:ENSG00000104979 +19,13777309,Monocyte_CD14:ENSG00000104979 +19,7928074,Monocyte_CD14:ENSG00000104980 +19,45996970,Monocyte_CD14:ENSG00000104983 +19,14031893,Monocyte_CD14:ENSG00000104998 +19,55136902,Monocyte_CD14:ENSG00000105048 +19,55139022,Monocyte_CD14:ENSG00000105048 +19,55145775,Monocyte_CD14:ENSG00000105048 +19,55146720,Monocyte_CD14:ENSG00000105048 +19,55147893,Monocyte_CD14:ENSG00000105048 +19,55160006,Monocyte_CD14:ENSG00000105048 +19,49977825,Monocyte_CD14:ENSG00000105053 +19,50025370,Monocyte_CD14:ENSG00000105053 +19,16186939,Monocyte_CD14:ENSG00000105058 +19,16475067,Monocyte_CD14:ENSG00000105072 +19,15542858,Monocyte_CD14:ENSG00000105122 +19,29604100,Monocyte_CD14:ENSG00000105171 +19,29942649,Monocyte_CD14:ENSG00000105176 +19,32574621,Monocyte_CD14:ENSG00000105185 +19,32577359,Monocyte_CD14:ENSG00000105185 +19,32581163,Monocyte_CD14:ENSG00000105185 +19,32652699,Monocyte_CD14:ENSG00000105186 +19,39435961,Monocyte_CD14:ENSG00000105193 +19,39846440,Monocyte_CD14:ENSG00000105202 +19,40348424,Monocyte_CD14:ENSG00000105223 +19,40364607,Monocyte_CD14:ENSG00000105223 +19,40365848,Monocyte_CD14:ENSG00000105223 +19,40369090,Monocyte_CD14:ENSG00000105223 +19,40369090,Monocyte_CD14:ENSG00000105227 +19,40674442,Monocyte_CD14:ENSG00000105245 +19,40684656,Monocyte_CD14:ENSG00000105245 +19,36114973,Monocyte_CD14:ENSG00000105254 +19,36087776,Monocyte_CD14:ENSG00000105258 +19,36132459,Monocyte_CD14:ENSG00000105258 +19,46784893,Monocyte_CD14:ENSG00000105281 +19,46820127,Monocyte_CD14:ENSG00000105281 +19,46720692,Monocyte_CD14:ENSG00000105287 +19,41336560,Monocyte_CD14:ENSG00000105323 +19,41355769,Monocyte_CD14:ENSG00000105329 +19,41416146,Monocyte_CD14:ENSG00000105341 +19,41597497,Monocyte_CD14:ENSG00000105352 +19,41604274,Monocyte_CD14:ENSG00000105352 +19,41619966,Monocyte_CD14:ENSG00000105352 +19,41636509,Monocyte_CD14:ENSG00000105352 +19,4834834,Monocyte_CD14:ENSG00000105355 +19,10238649,Monocyte_CD14:ENSG00000105364 +19,10286562,Monocyte_CD14:ENSG00000105371 +19,41870766,Monocyte_CD14:ENSG00000105372 +19,47745668,Monocyte_CD14:ENSG00000105373 +19,47750322,Monocyte_CD14:ENSG00000105373 +19,47753171,Monocyte_CD14:ENSG00000105373 +19,50659206,Monocyte_CD14:ENSG00000105374 +19,10295058,Monocyte_CD14:ENSG00000105376 +19,10310306,Monocyte_CD14:ENSG00000105376 +19,51347036,Monocyte_CD14:ENSG00000105379 +19,51366384,Monocyte_CD14:ENSG00000105379 +19,51437011,Monocyte_CD14:ENSG00000105379 +19,51199409,Monocyte_CD14:ENSG00000105383 +19,51225847,Monocyte_CD14:ENSG00000105383 +19,51235960,Monocyte_CD14:ENSG00000105383 +19,51246242,Monocyte_CD14:ENSG00000105383 +19,51262308,Monocyte_CD14:ENSG00000105383 +19,17273458,Monocyte_CD14:ENSG00000105393 +19,10354011,Monocyte_CD14:ENSG00000105397 +19,10369840,Monocyte_CD14:ENSG00000105397 +19,10413199,Monocyte_CD14:ENSG00000105401 +19,47515000,Monocyte_CD14:ENSG00000105402 +19,41949271,Monocyte_CD14:ENSG00000105404 +19,42311141,Monocyte_CD14:ENSG00000105427 +19,42228315,Monocyte_CD14:ENSG00000105429 +19,48399744,Monocyte_CD14:ENSG00000105438 +19,48469282,Monocyte_CD14:ENSG00000105443 +19,48446029,Monocyte_CD14:ENSG00000105447 +19,50721040,Monocyte_CD14:ENSG00000105472 +19,50727476,Monocyte_CD14:ENSG00000105472 +19,50752627,Monocyte_CD14:ENSG00000105472 +19,48231760,Monocyte_CD14:ENSG00000105483 +19,48256108,Monocyte_CD14:ENSG00000105483 +19,51573777,Monocyte_CD14:ENSG00000105497 +19,48097353,Monocyte_CD14:ENSG00000105499 +19,48106458,Monocyte_CD14:ENSG00000105499 +19,48110287,Monocyte_CD14:ENSG00000105499 +19,48110367,Monocyte_CD14:ENSG00000105499 +19,48124981,Monocyte_CD14:ENSG00000105499 +19,48178020,Monocyte_CD14:ENSG00000105499 +19,48227577,Monocyte_CD14:ENSG00000105499 +19,48692998,Monocyte_CD14:ENSG00000105499 +19,51556454,Monocyte_CD14:ENSG00000105501 +19,51612110,Monocyte_CD14:ENSG00000105501 +19,51615043,Monocyte_CD14:ENSG00000105501 +19,51616004,Monocyte_CD14:ENSG00000105501 +19,51626895,Monocyte_CD14:ENSG00000105501 +19,51629139,Monocyte_CD14:ENSG00000105501 +19,51632523,Monocyte_CD14:ENSG00000105501 +19,51684711,Monocyte_CD14:ENSG00000105501 +19,11321225,Monocyte_CD14:ENSG00000105514 +19,11322345,Monocyte_CD14:ENSG00000105514 +19,11325545,Monocyte_CD14:ENSG00000105514 +19,11321225,Monocyte_CD14:ENSG00000105518 +19,5907538,Monocyte_CD14:ENSG00000105519 +19,11321225,Monocyte_CD14:ENSG00000105520 +19,11322345,Monocyte_CD14:ENSG00000105520 +19,48854419,Monocyte_CD14:ENSG00000105552 +19,229783,Monocyte_CD14:ENSG00000105556 +19,52190024,Monocyte_CD14:ENSG00000105568 +19,12669365,Monocyte_CD14:ENSG00000105583 +19,12669390,Monocyte_CD14:ENSG00000105583 +19,12899706,Monocyte_CD14:ENSG00000105607 +19,54219714,Monocyte_CD14:ENSG00000105609 +19,54268330,Monocyte_CD14:ENSG00000105609 +19,12881765,Monocyte_CD14:ENSG00000105610 +19,12883502,Monocyte_CD14:ENSG00000105612 +19,12908120,Monocyte_CD14:ENSG00000105612 +19,55011872,Monocyte_CD14:ENSG00000105617 +19,54047861,Monocyte_CD14:ENSG00000105619 +19,54114852,Monocyte_CD14:ENSG00000105619 +19,17826949,Monocyte_CD14:ENSG00000105639 +19,17873766,Monocyte_CD14:ENSG00000105639 +19,17859585,Monocyte_CD14:ENSG00000105640 +19,18059870,Monocyte_CD14:ENSG00000105643 +19,18504045,Monocyte_CD14:ENSG00000105656 +19,18906763,Monocyte_CD14:ENSG00000105669 +19,18892400,Monocyte_CD14:ENSG00000105671 +19,35644377,Monocyte_CD14:ENSG00000105672 +19,19085384,Monocyte_CD14:ENSG00000105676 +19,35547488,Monocyte_CD14:ENSG00000105677 +19,35280029,Monocyte_CD14:ENSG00000105698 +19,35303872,Monocyte_CD14:ENSG00000105698 +19,19709666,Monocyte_CD14:ENSG00000105708 +19,35016859,Monocyte_CD14:ENSG00000105711 +19,19675290,Monocyte_CD14:ENSG00000105726 +19,20929359,Monocyte_CD14:ENSG00000105750 +19,21570287,Monocyte_CD14:ENSG00000105750 +19,43443892,Monocyte_CD14:ENSG00000105755 +19,43455962,Monocyte_CD14:ENSG00000105755 +19,43501293,Monocyte_CD14:ENSG00000105755 +19,43526358,Monocyte_CD14:ENSG00000105755 +19,55385959,Monocyte_CD14:ENSG00000108107 +19,55398203,Monocyte_CD14:ENSG00000108107 +19,1478154,Monocyte_CD14:ENSG00000115257 +19,1387300,Monocyte_CD14:ENSG00000115286 +19,45406676,Monocyte_CD14:ENSG00000117877 +19,1207239,Monocyte_CD14:ENSG00000118046 +19,47545853,Monocyte_CD14:ENSG00000118162 +19,21570287,Monocyte_CD14:ENSG00000118620 +19,37645100,Monocyte_CD14:ENSG00000120784 +19,37650857,Monocyte_CD14:ENSG00000120784 +19,31312764,Monocyte_CD14:ENSG00000121297 +19,58330182,Monocyte_CD14:ENSG00000121410 +19,58347123,Monocyte_CD14:ENSG00000121410 +19,58352083,Monocyte_CD14:ENSG00000121410 +19,58429150,Monocyte_CD14:ENSG00000121410 +19,58088681,Monocyte_CD14:ENSG00000121413 +19,14418270,Monocyte_CD14:ENSG00000123136 +19,14471727,Monocyte_CD14:ENSG00000123143 +19,14356907,Monocyte_CD14:ENSG00000123146 +19,14381407,Monocyte_CD14:ENSG00000123146 +19,14381460,Monocyte_CD14:ENSG00000123146 +19,14390732,Monocyte_CD14:ENSG00000123146 +19,14495898,Monocyte_CD14:ENSG00000123159 +19,41382014,Monocyte_CD14:ENSG00000123810 +19,33389094,Monocyte_CD14:ENSG00000124299 +19,33389443,Monocyte_CD14:ENSG00000124299 +19,33525840,Monocyte_CD14:ENSG00000124299 +19,43454959,Monocyte_CD14:ENSG00000124466 +19,54174203,Monocyte_CD14:ENSG00000125505 +19,54188125,Monocyte_CD14:ENSG00000125505 +19,54202060,Monocyte_CD14:ENSG00000125505 +19,54204261,Monocyte_CD14:ENSG00000125505 +19,6383866,Monocyte_CD14:ENSG00000125651 +19,6391208,Monocyte_CD14:ENSG00000125651 +19,6377617,Monocyte_CD14:ENSG00000125652 +19,6739267,Monocyte_CD14:ENSG00000125733 +19,6739267,Monocyte_CD14:ENSG00000125734 +19,6668961,Monocyte_CD14:ENSG00000125735 +19,6874558,Monocyte_CD14:ENSG00000125735 +19,46113113,Monocyte_CD14:ENSG00000125740 +19,45697955,Monocyte_CD14:ENSG00000125743 +19,45639379,Monocyte_CD14:ENSG00000125746 +19,45515243,Monocyte_CD14:ENSG00000125753 +19,45516128,Monocyte_CD14:ENSG00000125753 +19,45526561,Monocyte_CD14:ENSG00000125753 +19,45815500,Monocyte_CD14:ENSG00000125755 +19,45865499,Monocyte_CD14:ENSG00000125755 +19,3171567,Monocyte_CD14:ENSG00000125910 +19,3176172,Monocyte_CD14:ENSG00000125910 +19,3179023,Monocyte_CD14:ENSG00000125910 +19,3185831,Monocyte_CD14:ENSG00000125910 +19,3185831,Monocyte_CD14:ENSG00000125912 +19,35739866,Monocyte_CD14:ENSG00000126246 +19,35741519,Monocyte_CD14:ENSG00000126246 +19,36128490,Monocyte_CD14:ENSG00000126247 +19,36149867,Monocyte_CD14:ENSG00000126247 +19,36204727,Monocyte_CD14:ENSG00000126247 +19,34397853,Monocyte_CD14:ENSG00000126261 +19,35442409,Monocyte_CD14:ENSG00000126262 +19,35448632,Monocyte_CD14:ENSG00000126262 +19,36465557,Monocyte_CD14:ENSG00000126264 +19,35659862,Monocyte_CD14:ENSG00000126267 +19,36159764,Monocyte_CD14:ENSG00000126267 +19,49655656,Monocyte_CD14:ENSG00000126456 +19,49522691,Monocyte_CD14:ENSG00000126457 +19,49710491,Monocyte_CD14:ENSG00000126458 +19,49761973,Monocyte_CD14:ENSG00000126467 +19,4125574,Monocyte_CD14:ENSG00000126934 +19,17314138,Monocyte_CD14:ENSG00000127220 +19,14737655,Monocyte_CD14:ENSG00000127507 +19,14755578,Monocyte_CD14:ENSG00000127507 +19,14773655,Monocyte_CD14:ENSG00000127507 +19,14776536,Monocyte_CD14:ENSG00000127507 +19,14783805,Monocyte_CD14:ENSG00000127507 +19,14784112,Monocyte_CD14:ENSG00000127507 +19,16802547,Monocyte_CD14:ENSG00000127511 +19,16960453,Monocyte_CD14:ENSG00000127511 +19,16541742,Monocyte_CD14:ENSG00000127526 +19,16572431,Monocyte_CD14:ENSG00000127526 +19,16484168,Monocyte_CD14:ENSG00000127527 +19,16330113,Monocyte_CD14:ENSG00000127528 +19,1597866,Monocyte_CD14:ENSG00000127540 +19,11024978,Monocyte_CD14:ENSG00000127616 +19,4984202,Monocyte_CD14:ENSG00000127663 +19,4814099,Monocyte_CD14:ENSG00000127666 +19,56572755,Monocyte_CD14:ENSG00000127903 +19,40086137,Monocyte_CD14:ENSG00000128000 +19,10564039,Monocyte_CD14:ENSG00000129347 +19,10595407,Monocyte_CD14:ENSG00000129353 +19,10596297,Monocyte_CD14:ENSG00000129353 +19,10566265,Monocyte_CD14:ENSG00000129355 +19,51127908,Monocyte_CD14:ENSG00000129450 +19,19629920,Monocyte_CD14:ENSG00000129933 +19,1883548,Monocyte_CD14:ENSG00000129968 +19,11510616,Monocyte_CD14:ENSG00000130159 +19,11120527,Monocyte_CD14:ENSG00000130164 +19,11447525,Monocyte_CD14:ENSG00000130175 +19,44868449,Monocyte_CD14:ENSG00000130202 +19,44868927,Monocyte_CD14:ENSG00000130202 +19,44869072,Monocyte_CD14:ENSG00000130202 +19,5652561,Monocyte_CD14:ENSG00000130255 +19,5693088,Monocyte_CD14:ENSG00000130255 +19,17406524,Monocyte_CD14:ENSG00000130303 +19,17550445,Monocyte_CD14:ENSG00000130309 +19,17342568,Monocyte_CD14:ENSG00000130311 +19,17306756,Monocyte_CD14:ENSG00000130312 +19,17506024,Monocyte_CD14:ENSG00000130313 +19,17516296,Monocyte_CD14:ENSG00000130313 +19,17518363,Monocyte_CD14:ENSG00000130313 +19,2325420,Monocyte_CD14:ENSG00000130332 +19,6274265,Monocyte_CD14:ENSG00000130382 +19,38690729,Monocyte_CD14:ENSG00000130402 +19,17750888,Monocyte_CD14:ENSG00000130475 +19,17779506,Monocyte_CD14:ENSG00000130475 +19,17743453,Monocyte_CD14:ENSG00000130479 +19,18591717,Monocyte_CD14:ENSG00000130479 +19,18414020,Monocyte_CD14:ENSG00000130511 +19,18429777,Monocyte_CD14:ENSG00000130511 +19,18346235,Monocyte_CD14:ENSG00000130517 +19,18348053,Monocyte_CD14:ENSG00000130517 +19,18280332,Monocyte_CD14:ENSG00000130518 +19,18287220,Monocyte_CD14:ENSG00000130518 +19,18304933,Monocyte_CD14:ENSG00000130520 +19,18306568,Monocyte_CD14:ENSG00000130520 +19,18324591,Monocyte_CD14:ENSG00000130520 +19,18280361,Monocyte_CD14:ENSG00000130522 +19,49158325,Monocyte_CD14:ENSG00000130529 +19,49200507,Monocyte_CD14:ENSG00000130529 +19,7086960,Monocyte_CD14:ENSG00000130544 +19,58555024,Monocyte_CD14:ENSG00000130724 +19,58545385,Monocyte_CD14:ENSG00000130725 +19,47046533,Monocyte_CD14:ENSG00000130748 +19,47055651,Monocyte_CD14:ENSG00000130748 +19,39349909,Monocyte_CD14:ENSG00000130755 +19,10118845,Monocyte_CD14:ENSG00000130811 +19,10133878,Monocyte_CD14:ENSG00000130811 +19,10112186,Monocyte_CD14:ENSG00000130812 +19,10112186,Monocyte_CD14:ENSG00000130813 +19,10164018,Monocyte_CD14:ENSG00000130816 +19,53554523,Monocyte_CD14:ENSG00000130844 +19,53556271,Monocyte_CD14:ENSG00000130844 +19,33065763,Monocyte_CD14:ENSG00000130881 +19,55072990,Monocyte_CD14:ENSG00000131037 +19,55080353,Monocyte_CD14:ENSG00000131037 +19,54219714,Monocyte_CD14:ENSG00000131042 +19,54225910,Monocyte_CD14:ENSG00000131042 +19,54228342,Monocyte_CD14:ENSG00000131042 +19,54240874,Monocyte_CD14:ENSG00000131042 +19,54265351,Monocyte_CD14:ENSG00000131042 +19,54283837,Monocyte_CD14:ENSG00000131042 +19,17056086,Monocyte_CD14:ENSG00000131351 +19,14613248,Monocyte_CD14:ENSG00000131355 +19,14617360,Monocyte_CD14:ENSG00000131355 +19,14659817,Monocyte_CD14:ENSG00000131355 +19,14737655,Monocyte_CD14:ENSG00000131355 +19,50348677,Monocyte_CD14:ENSG00000131398 +19,50348677,Monocyte_CD14:ENSG00000131400 +19,50397291,Monocyte_CD14:ENSG00000131408 +19,58185431,Monocyte_CD14:ENSG00000131845 +19,58405899,Monocyte_CD14:ENSG00000131849 +19,58407038,Monocyte_CD14:ENSG00000131849 +19,32977504,Monocyte_CD14:ENSG00000131941 +19,29710029,Monocyte_CD14:ENSG00000131943 +19,32972540,Monocyte_CD14:ENSG00000131944 +19,32977504,Monocyte_CD14:ENSG00000131944 +19,14541074,Monocyte_CD14:ENSG00000132002 +19,13927289,Monocyte_CD14:ENSG00000132024 +19,2016167,Monocyte_CD14:ENSG00000133243 +19,8491002,Monocyte_CD14:ENSG00000133246 +19,8494375,Monocyte_CD14:ENSG00000133246 +19,55313266,Monocyte_CD14:ENSG00000133247 +19,47375766,Monocyte_CD14:ENSG00000134815 +19,47375766,Monocyte_CD14:ENSG00000134830 +19,13206676,Monocyte_CD14:ENSG00000141837 +19,14074414,Monocyte_CD14:ENSG00000141854 +19,2711320,Monocyte_CD14:ENSG00000141873 +19,2748599,Monocyte_CD14:ENSG00000141873 +19,3369574,Monocyte_CD14:ENSG00000141905 +19,507731,Monocyte_CD14:ENSG00000141933 +19,509326,Monocyte_CD14:ENSG00000141933 +19,518686,Monocyte_CD14:ENSG00000141933 +19,6615765,Monocyte_CD14:ENSG00000141968 +19,17427988,Monocyte_CD14:ENSG00000141971 +19,5795072,Monocyte_CD14:ENSG00000141994 +19,41382945,Monocyte_CD14:ENSG00000142046 +19,36261765,Monocyte_CD14:ENSG00000142065 +19,36267995,Monocyte_CD14:ENSG00000142065 +19,48339145,Monocyte_CD14:ENSG00000142227 +19,47131056,Monocyte_CD14:ENSG00000142230 +19,45090912,Monocyte_CD14:ENSG00000142252 +19,8550705,Monocyte_CD14:ENSG00000142347 +19,8550724,Monocyte_CD14:ENSG00000142347 +19,58306212,Monocyte_CD14:ENSG00000142396 +19,58315169,Monocyte_CD14:ENSG00000142396 +19,53816837,Monocyte_CD14:ENSG00000142405 +19,53818618,Monocyte_CD14:ENSG00000142405 +19,53838410,Monocyte_CD14:ENSG00000142405 +19,56087463,Monocyte_CD14:ENSG00000142409 +19,10941762,Monocyte_CD14:ENSG00000142444 +19,10941762,Monocyte_CD14:ENSG00000142453 +19,7874039,Monocyte_CD14:ENSG00000142459 +19,51407453,Monocyte_CD14:ENSG00000142512 +19,51407725,Monocyte_CD14:ENSG00000142512 +19,51437011,Monocyte_CD14:ENSG00000142512 +19,51753290,Monocyte_CD14:ENSG00000142512 +19,49496088,Monocyte_CD14:ENSG00000142541 +19,49541484,Monocyte_CD14:ENSG00000142546 +19,49513491,Monocyte_CD14:ENSG00000142552 +19,57353997,Monocyte_CD14:ENSG00000152433 +19,57449260,Monocyte_CD14:ENSG00000152439 +19,57803905,Monocyte_CD14:ENSG00000152443 +19,33386049,Monocyte_CD14:ENSG00000153879 +19,33798683,Monocyte_CD14:ENSG00000153885 +19,33828568,Monocyte_CD14:ENSG00000153885 +19,34692306,Monocyte_CD14:ENSG00000153896 +19,43799441,Monocyte_CD14:ENSG00000159871 +19,46857294,Monocyte_CD14:ENSG00000160007 +19,46619930,Monocyte_CD14:ENSG00000160013 +19,46620611,Monocyte_CD14:ENSG00000160013 +19,46634224,Monocyte_CD14:ENSG00000160013 +19,46595170,Monocyte_CD14:ENSG00000160014 +19,16960453,Monocyte_CD14:ENSG00000160111 +19,17009667,Monocyte_CD14:ENSG00000160111 +19,17009699,Monocyte_CD14:ENSG00000160111 +19,17230532,Monocyte_CD14:ENSG00000160113 +19,17236255,Monocyte_CD14:ENSG00000160113 +19,17273458,Monocyte_CD14:ENSG00000160117 +19,17288960,Monocyte_CD14:ENSG00000160117 +19,20929359,Monocyte_CD14:ENSG00000160229 +19,51367458,Monocyte_CD14:ENSG00000160318 +19,53607572,Monocyte_CD14:ENSG00000160336 +19,21132585,Monocyte_CD14:ENSG00000160352 +19,40331127,Monocyte_CD14:ENSG00000160392 +19,40586548,Monocyte_CD14:ENSG00000160410 +19,55063100,Monocyte_CD14:ENSG00000160439 +19,55063144,Monocyte_CD14:ENSG00000160439 +19,55072990,Monocyte_CD14:ENSG00000160439 +19,55313266,Monocyte_CD14:ENSG00000160469 +19,13152241,Monocyte_CD14:ENSG00000160888 +19,14692133,Monocyte_CD14:ENSG00000160961 +19,15470494,Monocyte_CD14:ENSG00000161031 +19,3544973,Monocyte_CD14:ENSG00000161091 +19,35741519,Monocyte_CD14:ENSG00000161265 +19,35763808,Monocyte_CD14:ENSG00000161265 +19,36049278,Monocyte_CD14:ENSG00000161277 +19,49461548,Monocyte_CD14:ENSG00000161618 +19,49468339,Monocyte_CD14:ENSG00000161618 +19,49950829,Monocyte_CD14:ENSG00000161640 +19,49956549,Monocyte_CD14:ENSG00000161640 +19,49964893,Monocyte_CD14:ENSG00000161640 +19,49977825,Monocyte_CD14:ENSG00000161640 +19,50466727,Monocyte_CD14:ENSG00000161671 +19,50469765,Monocyte_CD14:ENSG00000161671 +19,50474700,Monocyte_CD14:ENSG00000161671 +19,50487096,Monocyte_CD14:ENSG00000161671 +19,50474700,Monocyte_CD14:ENSG00000161677 +19,50511444,Monocyte_CD14:ENSG00000161677 +19,56572755,Monocyte_CD14:ENSG00000166770 +19,23385859,Monocyte_CD14:ENSG00000167232 +19,23386108,Monocyte_CD14:ENSG00000167232 +19,43595611,Monocyte_CD14:ENSG00000167378 +19,44165808,Monocyte_CD14:ENSG00000167380 +19,16079405,Monocyte_CD14:ENSG00000167460 +19,16092494,Monocyte_CD14:ENSG00000167460 +19,16130820,Monocyte_CD14:ENSG00000167461 +19,1099702,Monocyte_CD14:ENSG00000167468 +19,1103786,Monocyte_CD14:ENSG00000167468 +19,1104079,Monocyte_CD14:ENSG00000167468 +19,1248349,Monocyte_CD14:ENSG00000167470 +19,52417804,Monocyte_CD14:ENSG00000167555 +19,52570311,Monocyte_CD14:ENSG00000167562 +19,52580380,Monocyte_CD14:ENSG00000167562 +19,52647078,Monocyte_CD14:ENSG00000167562 +19,40440938,Monocyte_CD14:ENSG00000167565 +19,40779611,Monocyte_CD14:ENSG00000167578 +19,35659862,Monocyte_CD14:ENSG00000167595 +19,41176369,Monocyte_CD14:ENSG00000167600 +19,41193981,Monocyte_CD14:ENSG00000167600 +19,41205850,Monocyte_CD14:ENSG00000167601 +19,54164811,Monocyte_CD14:ENSG00000167608 +19,54167111,Monocyte_CD14:ENSG00000167608 +19,54353814,Monocyte_CD14:ENSG00000167613 +19,54365146,Monocyte_CD14:ENSG00000167613 +19,54377252,Monocyte_CD14:ENSG00000167613 +19,54381715,Monocyte_CD14:ENSG00000167613 +19,43826088,Monocyte_CD14:ENSG00000167637 +19,38264452,Monocyte_CD14:ENSG00000167642 +19,38287735,Monocyte_CD14:ENSG00000167642 +19,38336839,Monocyte_CD14:ENSG00000167642 +19,38304110,Monocyte_CD14:ENSG00000167644 +19,38304110,Monocyte_CD14:ENSG00000167645 +19,4444657,Monocyte_CD14:ENSG00000167670 +19,4444859,Monocyte_CD14:ENSG00000167671 +19,4472983,Monocyte_CD14:ENSG00000167674 +19,4557740,Monocyte_CD14:ENSG00000167680 +19,50794568,Monocyte_CD14:ENSG00000167747 +19,50811918,Monocyte_CD14:ENSG00000167748 +19,52630777,Monocyte_CD14:ENSG00000167766 +19,52638372,Monocyte_CD14:ENSG00000167766 +19,52647078,Monocyte_CD14:ENSG00000167766 +19,12766150,Monocyte_CD14:ENSG00000167815 +19,51127908,Monocyte_CD14:ENSG00000168995 +19,51139804,Monocyte_CD14:ENSG00000168995 +19,51142229,Monocyte_CD14:ENSG00000168995 +19,51142883,Monocyte_CD14:ENSG00000168995 +19,29213103,Monocyte_CD14:ENSG00000169021 +19,49933480,Monocyte_CD14:ENSG00000169136 +19,54200900,Monocyte_CD14:ENSG00000170889 +19,54202060,Monocyte_CD14:ENSG00000170889 +19,54204215,Monocyte_CD14:ENSG00000170889 +19,54206805,Monocyte_CD14:ENSG00000170889 +19,54209501,Monocyte_CD14:ENSG00000170889 +19,54192638,Monocyte_CD14:ENSG00000170892 +19,54200900,Monocyte_CD14:ENSG00000170892 +19,54202060,Monocyte_CD14:ENSG00000170892 +19,54204261,Monocyte_CD14:ENSG00000170892 +19,54101105,Monocyte_CD14:ENSG00000170906 +19,54108427,Monocyte_CD14:ENSG00000170906 +19,54114852,Monocyte_CD14:ENSG00000170906 +19,54046303,Monocyte_CD14:ENSG00000170909 +19,54047861,Monocyte_CD14:ENSG00000170909 +19,54063999,Monocyte_CD14:ENSG00000170909 +19,54091525,Monocyte_CD14:ENSG00000170909 +19,54102420,Monocyte_CD14:ENSG00000170909 +19,53083071,Monocyte_CD14:ENSG00000170949 +19,53084092,Monocyte_CD14:ENSG00000170949 +19,53087254,Monocyte_CD14:ENSG00000170949 +19,53138822,Monocyte_CD14:ENSG00000170954 +19,53138831,Monocyte_CD14:ENSG00000170954 +19,41805999,Monocyte_CD14:ENSG00000170956 +19,51753290,Monocyte_CD14:ENSG00000171049 +19,51762819,Monocyte_CD14:ENSG00000171049 +19,51765449,Monocyte_CD14:ENSG00000171049 +19,51771592,Monocyte_CD14:ENSG00000171049 +19,51746963,Monocyte_CD14:ENSG00000171051 +19,51753290,Monocyte_CD14:ENSG00000171051 +19,7183540,Monocyte_CD14:ENSG00000171105 +19,7273143,Monocyte_CD14:ENSG00000171105 +19,13966537,Monocyte_CD14:ENSG00000171136 +19,4540417,Monocyte_CD14:ENSG00000171236 +19,11794045,Monocyte_CD14:ENSG00000171291 +19,11848749,Monocyte_CD14:ENSG00000171291 +19,11814279,Monocyte_CD14:ENSG00000171295 +19,9701650,Monocyte_CD14:ENSG00000171466 +19,9638353,Monocyte_CD14:ENSG00000171469 +19,58405899,Monocyte_CD14:ENSG00000171574 +19,57559827,Monocyte_CD14:ENSG00000171649 +19,38832452,Monocyte_CD14:ENSG00000171747 +19,38409359,Monocyte_CD14:ENSG00000171777 +19,15944641,Monocyte_CD14:ENSG00000171903 +19,15522178,Monocyte_CD14:ENSG00000171954 +19,2905405,Monocyte_CD14:ENSG00000171970 +19,2812155,Monocyte_CD14:ENSG00000172006 +19,2082679,Monocyte_CD14:ENSG00000172081 +19,563639,Monocyte_CD14:ENSG00000172270 +19,570124,Monocyte_CD14:ENSG00000172270 +19,572004,Monocyte_CD14:ENSG00000172270 +19,583450,Monocyte_CD14:ENSG00000172270 +19,16739190,Monocyte_CD14:ENSG00000172519 +19,21332879,Monocyte_CD14:ENSG00000172687 +19,21570287,Monocyte_CD14:ENSG00000172687 +19,57956226,Monocyte_CD14:ENSG00000173480 +19,11321225,Monocyte_CD14:ENSG00000173928 +19,9358930,Monocyte_CD14:ENSG00000174652 +19,9423625,Monocyte_CD14:ENSG00000174652 +19,6874558,Monocyte_CD14:ENSG00000174837 +19,6900819,Monocyte_CD14:ENSG00000174837 +19,6901471,Monocyte_CD14:ENSG00000174837 +19,6937161,Monocyte_CD14:ENSG00000174837 +19,6998222,Monocyte_CD14:ENSG00000174837 +19,870489,Monocyte_CD14:ENSG00000175221 +19,887226,Monocyte_CD14:ENSG00000175221 +19,18382810,Monocyte_CD14:ENSG00000175489 +19,18402007,Monocyte_CD14:ENSG00000175489 +19,2936537,Monocyte_CD14:ENSG00000175691 +19,51927486,Monocyte_CD14:ENSG00000176024 +19,45926998,Monocyte_CD14:ENSG00000176182 +19,43858871,Monocyte_CD14:ENSG00000176222 +19,39435961,Monocyte_CD14:ENSG00000176396 +19,43558334,Monocyte_CD14:ENSG00000176472 +19,43454959,Monocyte_CD14:ENSG00000176531 +19,43487681,Monocyte_CD14:ENSG00000176531 +19,43501293,Monocyte_CD14:ENSG00000176531 +19,2689198,Monocyte_CD14:ENSG00000176533 +19,2748599,Monocyte_CD14:ENSG00000176533 +19,58016935,Monocyte_CD14:ENSG00000176593 +19,45708983,Monocyte_CD14:ENSG00000177051 +19,41382945,Monocyte_CD14:ENSG00000177191 +19,41416146,Monocyte_CD14:ENSG00000177191 +19,11794045,Monocyte_CD14:ENSG00000177599 +19,57449965,Monocyte_CD14:ENSG00000178201 +19,56572755,Monocyte_CD14:ENSG00000178229 +19,32450920,Monocyte_CD14:ENSG00000178904 +19,57803905,Monocyte_CD14:ENSG00000178935 +19,4056862,Monocyte_CD14:ENSG00000178951 +19,47759799,Monocyte_CD14:ENSG00000178980 +19,47778401,Monocyte_CD14:ENSG00000178980 +19,38545776,Monocyte_CD14:ENSG00000178982 +19,38618083,Monocyte_CD14:ENSG00000178982 +19,38668907,Monocyte_CD14:ENSG00000178982 +19,12897793,Monocyte_CD14:ENSG00000179115 +19,39362887,Monocyte_CD14:ENSG00000179134 +19,51246242,Monocyte_CD14:ENSG00000179213 +19,12958584,Monocyte_CD14:ENSG00000179218 +19,53789211,Monocyte_CD14:ENSG00000179820 +19,57746021,Monocyte_CD14:ENSG00000179909 +19,57910352,Monocyte_CD14:ENSG00000179909 +19,55317502,Monocyte_CD14:ENSG00000180061 +19,52949516,Monocyte_CD14:ENSG00000180257 +19,1085967,Monocyte_CD14:ENSG00000180448 +19,12435013,Monocyte_CD14:ENSG00000180855 +19,36261765,Monocyte_CD14:ENSG00000181007 +19,46720692,Monocyte_CD14:ENSG00000181027 +19,46765357,Monocyte_CD14:ENSG00000181027 +19,7680920,Monocyte_CD14:ENSG00000181029 +19,7682559,Monocyte_CD14:ENSG00000181029 +19,7683500,Monocyte_CD14:ENSG00000181029 +19,7714967,Monocyte_CD14:ENSG00000181029 +19,37307974,Monocyte_CD14:ENSG00000181666 +19,58155435,Monocyte_CD14:ENSG00000181894 +19,19672611,Monocyte_CD14:ENSG00000181896 +19,46436097,Monocyte_CD14:ENSG00000182013 +19,1011216,Monocyte_CD14:ENSG00000182087 +19,21320173,Monocyte_CD14:ENSG00000182141 +19,21570287,Monocyte_CD14:ENSG00000182141 +19,51710490,Monocyte_CD14:ENSG00000182310 +19,51753290,Monocyte_CD14:ENSG00000182310 +19,38527640,Monocyte_CD14:ENSG00000182472 +19,7714276,Monocyte_CD14:ENSG00000182566 +19,7717484,Monocyte_CD14:ENSG00000182566 +19,7733320,Monocyte_CD14:ENSG00000182566 +19,7736674,Monocyte_CD14:ENSG00000182566 +19,7674175,Monocyte_CD14:ENSG00000183019 +19,11321225,Monocyte_CD14:ENSG00000183401 +19,3762928,Monocyte_CD14:ENSG00000183617 +19,19835828,Monocyte_CD14:ENSG00000184635 +19,19896465,Monocyte_CD14:ENSG00000184635 +19,703707,Monocyte_CD14:ENSG00000185198 +19,4612506,Monocyte_CD14:ENSG00000185361 +19,19388056,Monocyte_CD14:ENSG00000186010 +19,36267995,Monocyte_CD14:ENSG00000186017 +19,44087207,Monocyte_CD14:ENSG00000186026 +19,3638126,Monocyte_CD14:ENSG00000186111 +19,57438168,Monocyte_CD14:ENSG00000186230 +19,2812155,Monocyte_CD14:ENSG00000186300 +19,2846085,Monocyte_CD14:ENSG00000186300 +19,54773406,Monocyte_CD14:ENSG00000186431 +19,54880218,Monocyte_CD14:ENSG00000186431 +19,15587418,Monocyte_CD14:ENSG00000186529 +19,15641087,Monocyte_CD14:ENSG00000186529 +19,15669435,Monocyte_CD14:ENSG00000186529 +19,44686891,Monocyte_CD14:ENSG00000186567 +19,51437011,Monocyte_CD14:ENSG00000186806 +19,54607056,Monocyte_CD14:ENSG00000186818 +19,54661088,Monocyte_CD14:ENSG00000186818 +19,54663551,Monocyte_CD14:ENSG00000186818 +19,54225910,Monocyte_CD14:ENSG00000187116 +19,54269178,Monocyte_CD14:ENSG00000187116 +19,54300343,Monocyte_CD14:ENSG00000187116 +19,54309396,Monocyte_CD14:ENSG00000187116 +19,54317278,Monocyte_CD14:ENSG00000187116 +19,11321225,Monocyte_CD14:ENSG00000187266 +19,51753290,Monocyte_CD14:ENSG00000187474 +19,51785689,Monocyte_CD14:ENSG00000187474 +19,51793039,Monocyte_CD14:ENSG00000187474 +19,51793711,Monocyte_CD14:ENSG00000187474 +19,5904342,Monocyte_CD14:ENSG00000187650 +19,14613248,Monocyte_CD14:ENSG00000187912 +19,9153725,Monocyte_CD14:ENSG00000188000 +19,14870327,Monocyte_CD14:ENSG00000188032 +19,20625709,Monocyte_CD14:ENSG00000188171 +19,2269830,Monocyte_CD14:ENSG00000188305 +19,2275080,Monocyte_CD14:ENSG00000188305 +19,9324196,Monocyte_CD14:ENSG00000188321 +19,40752756,Monocyte_CD14:ENSG00000188493 +19,39058160,Monocyte_CD14:ENSG00000188505 +19,9324196,Monocyte_CD14:ENSG00000188629 +19,38304110,Monocyte_CD14:ENSG00000188766 +19,54047861,Monocyte_CD14:ENSG00000189068 +19,54051688,Monocyte_CD14:ENSG00000189068 +19,54051854,Monocyte_CD14:ENSG00000189068 +19,54063999,Monocyte_CD14:ENSG00000189068 +19,52780933,Monocyte_CD14:ENSG00000189190 +19,52784848,Monocyte_CD14:ENSG00000189190 +19,52805077,Monocyte_CD14:ENSG00000189190 +19,54896335,Monocyte_CD14:ENSG00000189430 +19,23862941,Monocyte_CD14:ENSG00000196172 +19,52282528,Monocyte_CD14:ENSG00000196214 +19,38527640,Monocyte_CD14:ENSG00000196218 +19,38545776,Monocyte_CD14:ENSG00000196218 +19,38556079,Monocyte_CD14:ENSG00000196218 +19,56522856,Monocyte_CD14:ENSG00000196263 +19,56560642,Monocyte_CD14:ENSG00000196263 +19,52167652,Monocyte_CD14:ENSG00000196267 +19,21485333,Monocyte_CD14:ENSG00000196268 +19,21570287,Monocyte_CD14:ENSG00000196268 +19,36173094,Monocyte_CD14:ENSG00000196357 +19,5696951,Monocyte_CD14:ENSG00000196365 +19,53414810,Monocyte_CD14:ENSG00000196417 +19,16139927,Monocyte_CD14:ENSG00000196684 +19,20764362,Monocyte_CD14:ENSG00000196705 +19,21151200,Monocyte_CD14:ENSG00000196705 +19,21570287,Monocyte_CD14:ENSG00000196705 +19,57905461,Monocyte_CD14:ENSG00000196724 +19,56572755,Monocyte_CD14:ENSG00000196867 +19,37194064,Monocyte_CD14:ENSG00000196967 +19,21514161,Monocyte_CD14:ENSG00000197013 +19,21570287,Monocyte_CD14:ENSG00000197013 +19,56560642,Monocyte_CD14:ENSG00000197016 +19,56572755,Monocyte_CD14:ENSG00000197016 +19,21570287,Monocyte_CD14:ENSG00000197020 +19,21739834,Monocyte_CD14:ENSG00000197020 +19,11782740,Monocyte_CD14:ENSG00000197044 +19,11962600,Monocyte_CD14:ENSG00000197054 +19,20045394,Monocyte_CD14:ENSG00000197124 +19,20118132,Monocyte_CD14:ENSG00000197124 +19,20278910,Monocyte_CD14:ENSG00000197124 +19,57449965,Monocyte_CD14:ENSG00000197128 +19,22062552,Monocyte_CD14:ENSG00000197134 +19,11195331,Monocyte_CD14:ENSG00000197256 +19,23687021,Monocyte_CD14:ENSG00000197372 +19,23696877,Monocyte_CD14:ENSG00000197372 +19,47297843,Monocyte_CD14:ENSG00000197405 +19,47375766,Monocyte_CD14:ENSG00000197405 +19,850733,Monocyte_CD14:ENSG00000197561 +19,852730,Monocyte_CD14:ENSG00000197561 +19,52053236,Monocyte_CD14:ENSG00000197619 +19,57299921,Monocyte_CD14:ENSG00000197714 +19,859368,Monocyte_CD14:ENSG00000197766 +19,859374,Monocyte_CD14:ENSG00000197766 +19,861421,Monocyte_CD14:ENSG00000197766 +19,893080,Monocyte_CD14:ENSG00000197766 +19,40086137,Monocyte_CD14:ENSG00000197782 +19,34743430,Monocyte_CD14:ENSG00000197841 +19,12269152,Monocyte_CD14:ENSG00000197857 +19,36824066,Monocyte_CD14:ENSG00000197863 +19,53258338,Monocyte_CD14:ENSG00000197928 +19,53083071,Monocyte_CD14:ENSG00000197937 +19,56572755,Monocyte_CD14:ENSG00000197951 +19,9581378,Monocyte_CD14:ENSG00000197961 +19,11293839,Monocyte_CD14:ENSG00000198003 +19,11321225,Monocyte_CD14:ENSG00000198003 +19,11420026,Monocyte_CD14:ENSG00000198003 +19,58185431,Monocyte_CD14:ENSG00000198131 +19,11984918,Monocyte_CD14:ENSG00000198429 +19,36976897,Monocyte_CD14:ENSG00000198453 +19,52300416,Monocyte_CD14:ENSG00000198464 +19,57851641,Monocyte_CD14:ENSG00000198466 +19,57869017,Monocyte_CD14:ENSG00000198466 +19,52647078,Monocyte_CD14:ENSG00000198482 +19,21570287,Monocyte_CD14:ENSG00000198521 +19,52800637,Monocyte_CD14:ENSG00000198538 +19,7516739,Monocyte_CD14:ENSG00000198723 +19,7350159,Monocyte_CD14:ENSG00000198816 +19,870489,Monocyte_CD14:ENSG00000198858 +19,896506,Monocyte_CD14:ENSG00000198858 +19,53365706,Monocyte_CD14:ENSG00000203326 +19,57803905,Monocyte_CD14:ENSG00000204514 +19,57244687,Monocyte_CD14:ENSG00000204524 +19,54200900,Monocyte_CD14:ENSG00000204577 +19,54202976,Monocyte_CD14:ENSG00000204577 +19,54217762,Monocyte_CD14:ENSG00000204577 +19,52859452,Monocyte_CD14:ENSG00000204604 +19,52885724,Monocyte_CD14:ENSG00000204604 +19,46493671,Monocyte_CD14:ENSG00000204850 +19,46493671,Monocyte_CD14:ENSG00000204851 +19,43984200,Monocyte_CD14:ENSG00000204920 +19,43324554,Monocyte_CD14:ENSG00000204936 +19,36021913,Monocyte_CD14:ENSG00000205138 +19,4893480,Monocyte_CD14:ENSG00000205784 +19,5795072,Monocyte_CD14:ENSG00000212123 +19,52647078,Monocyte_CD14:ENSG00000213020 +19,49928533,Monocyte_CD14:ENSG00000213024 +19,24396338,Monocyte_CD14:ENSG00000213096 +19,1801049,Monocyte_CD14:ENSG00000213638 +19,52923956,Monocyte_CD14:ENSG00000213793 +19,53334578,Monocyte_CD14:ENSG00000213799 +19,45497741,Monocyte_CD14:ENSG00000213889 +19,32705041,Monocyte_CD14:ENSG00000213965 +19,20278910,Monocyte_CD14:ENSG00000213988 +19,16645371,Monocyte_CD14:ENSG00000214046 +19,10836325,Monocyte_CD14:ENSG00000214212 +19,10848474,Monocyte_CD14:ENSG00000214212 +19,18173841,Monocyte_CD14:ENSG00000216490 +19,18209668,Monocyte_CD14:ENSG00000216490 +19,55579127,Monocyte_CD14:ENSG00000218891 +19,2290500,Monocyte_CD14:ENSG00000220008 +19,10310306,Monocyte_CD14:ENSG00000220201 +19,52383892,Monocyte_CD14:ENSG00000221923 +19,18587209,Monocyte_CD14:ENSG00000221983 +19,55766640,Monocyte_CD14:ENSG00000223638 +19,55769189,Monocyte_CD14:ENSG00000223638 +19,36711164,Monocyte_CD14:ENSG00000225975 +19,1905560,Monocyte_CD14:ENSG00000227500 +19,1268995,Monocyte_CD14:ENSG00000228300 +19,53869114,Monocyte_CD14:ENSG00000228323 +19,55769614,Monocyte_CD14:ENSG00000229292 +19,22859403,Monocyte_CD14:ENSG00000229676 +19,7626907,Monocyte_CD14:ENSG00000229833 +19,46597308,Monocyte_CD14:ENSG00000230510 +19,43090727,Monocyte_CD14:ENSG00000231412 +19,43283767,Monocyte_CD14:ENSG00000231412 +19,43307933,Monocyte_CD14:ENSG00000231412 +19,43316424,Monocyte_CD14:ENSG00000231412 +19,43351067,Monocyte_CD14:ENSG00000231412 +19,43372842,Monocyte_CD14:ENSG00000231412 +19,58446827,Monocyte_CD14:ENSG00000232098 +19,36201293,Monocyte_CD14:ENSG00000232677 +19,36261765,Monocyte_CD14:ENSG00000232677 +19,55384220,Monocyte_CD14:ENSG00000233493 +19,8325429,Monocyte_CD14:ENSG00000233927 +19,54296648,Monocyte_CD14:ENSG00000239961 +19,54573045,Monocyte_CD14:ENSG00000239998 +19,54573515,Monocyte_CD14:ENSG00000239998 +19,54607898,Monocyte_CD14:ENSG00000239998 +19,12444525,Monocyte_CD14:ENSG00000242852 +19,10115006,Monocyte_CD14:ENSG00000244165 +19,54219714,Monocyte_CD14:ENSG00000244482 +19,54224791,Monocyte_CD14:ENSG00000244482 +19,54225910,Monocyte_CD14:ENSG00000244482 +19,54228342,Monocyte_CD14:ENSG00000244482 +19,54237558,Monocyte_CD14:ENSG00000244482 +19,54245684,Monocyte_CD14:ENSG00000244482 +19,54248358,Monocyte_CD14:ENSG00000244482 +19,54270639,Monocyte_CD14:ENSG00000244482 +19,37239172,Monocyte_CD14:ENSG00000245680 +19,33268667,Monocyte_CD14:ENSG00000245848 +19,33298491,Monocyte_CD14:ENSG00000245848 +19,33386049,Monocyte_CD14:ENSG00000245848 +19,41416146,Monocyte_CD14:ENSG00000248098 +19,54047861,Monocyte_CD14:ENSG00000248385 +19,12532263,Monocyte_CD14:ENSG00000249709 +19,19629920,Monocyte_CD14:ENSG00000250067 +19,36513411,Monocyte_CD14:ENSG00000254004 +19,51486486,Monocyte_CD14:ENSG00000254415 +19,51611832,Monocyte_CD14:ENSG00000254415 +19,51612691,Monocyte_CD14:ENSG00000254415 +19,51617075,Monocyte_CD14:ENSG00000254415 +19,51626895,Monocyte_CD14:ENSG00000254415 +19,51655063,Monocyte_CD14:ENSG00000254415 +19,51493883,Monocyte_CD14:ENSG00000254521 +19,51509691,Monocyte_CD14:ENSG00000254521 +19,51509788,Monocyte_CD14:ENSG00000254521 +19,18195014,Monocyte_CD14:ENSG00000254858 +19,57353997,Monocyte_CD14:ENSG00000256060 +19,52053236,Monocyte_CD14:ENSG00000256087 +19,20118132,Monocyte_CD14:ENSG00000256229 +19,20278910,Monocyte_CD14:ENSG00000256229 +19,43461512,Monocyte_CD14:ENSG00000256294 +19,19843905,Monocyte_CD14:ENSG00000256771 +19,19859304,Monocyte_CD14:ENSG00000256771 +19,19896465,Monocyte_CD14:ENSG00000256771 +19,34162656,Monocyte_CD14:ENSG00000257103 +19,47257375,Monocyte_CD14:ENSG00000257704 +19,47270390,Monocyte_CD14:ENSG00000257704 +19,2748599,Monocyte_CD14:ENSG00000261342 +19,27835399,Monocyte_CD14:ENSG00000261770 +19,27487055,Monocyte_CD14:ENSG00000261824 +19,27780866,Monocyte_CD14:ENSG00000261824 +19,51388964,Monocyte_CD14:ENSG00000262874 +19,36261319,Monocyte_CD14:ENSG00000267053 +19,43858871,Monocyte_CD14:ENSG00000267058 +19,56361748,Monocyte_CD14:ENSG00000267096 +19,10639439,Monocyte_CD14:ENSG00000267100 +19,10676574,Monocyte_CD14:ENSG00000267100 +19,9703406,Monocyte_CD14:ENSG00000267106 +19,14136720,Monocyte_CD14:ENSG00000267169 +19,14162113,Monocyte_CD14:ENSG00000267169 +19,11303935,Monocyte_CD14:ENSG00000267174 +19,11321225,Monocyte_CD14:ENSG00000267174 +19,54962842,Monocyte_CD14:ENSG00000267265 +19,55000548,Monocyte_CD14:ENSG00000267265 +19,55000769,Monocyte_CD14:ENSG00000267265 +19,16324463,Monocyte_CD14:ENSG00000267275 +19,1982682,Monocyte_CD14:ENSG00000267283 +19,33319710,Monocyte_CD14:ENSG00000267296 +19,1457876,Monocyte_CD14:ENSG00000267317 +19,1460564,Monocyte_CD14:ENSG00000267317 +19,20278910,Monocyte_CD14:ENSG00000267383 +19,2915099,Monocyte_CD14:ENSG00000267412 +19,12912045,Monocyte_CD14:ENSG00000267458 +19,14458811,Monocyte_CD14:ENSG00000267474 +19,32705041,Monocyte_CD14:ENSG00000267475 +19,19835828,Monocyte_CD14:ENSG00000267481 +19,10164018,Monocyte_CD14:ENSG00000267534 +19,10230236,Monocyte_CD14:ENSG00000267534 +19,3140788,Monocyte_CD14:ENSG00000267551 +19,6274265,Monocyte_CD14:ENSG00000267563 +19,27843154,Monocyte_CD14:ENSG00000267575 +19,27848145,Monocyte_CD14:ENSG00000267575 +19,11303935,Monocyte_CD14:ENSG00000267576 +19,663929,Monocyte_CD14:ENSG00000267666 +19,14032204,Monocyte_CD14:ENSG00000267670 +19,37034969,Monocyte_CD14:ENSG00000267672 +19,563639,Monocyte_CD14:ENSG00000267751 +19,571397,Monocyte_CD14:ENSG00000267751 +19,45641767,Monocyte_CD14:ENSG00000267757 +19,35741519,Monocyte_CD14:ENSG00000267796 +19,54442714,Monocyte_CD14:ENSG00000267838 +19,8311320,Monocyte_CD14:ENSG00000267855 +19,8311547,Monocyte_CD14:ENSG00000267855 +19,8319345,Monocyte_CD14:ENSG00000267855 +19,57280271,Monocyte_CD14:ENSG00000267871 +19,16601780,Monocyte_CD14:ENSG00000267904 +19,8019645,Monocyte_CD14:ENSG00000267939 +19,48255928,Monocyte_CD14:ENSG00000268001 +19,48257808,Monocyte_CD14:ENSG00000268001 +19,18566257,Monocyte_CD14:ENSG00000268030 +19,21570287,Monocyte_CD14:ENSG00000268081 +19,21586097,Monocyte_CD14:ENSG00000268081 +19,21570287,Monocyte_CD14:ENSG00000268119 +19,24033533,Monocyte_CD14:ENSG00000268362 +19,24036900,Monocyte_CD14:ENSG00000268362 +19,58269925,Monocyte_CD14:ENSG00000268516 +19,58280847,Monocyte_CD14:ENSG00000268516 +19,50469765,Monocyte_CD14:ENSG00000268518 +19,50469818,Monocyte_CD14:ENSG00000268518 +19,46392960,Monocyte_CD14:ENSG00000268810 +19,58347123,Monocyte_CD14:ENSG00000268895 +19,58352083,Monocyte_CD14:ENSG00000268895 +19,58429150,Monocyte_CD14:ENSG00000268895 +19,58407038,Monocyte_CD14:ENSG00000268912 +19,49797851,Monocyte_CD14:ENSG00000269194 +19,49822242,Monocyte_CD14:ENSG00000269194 +19,16139927,Monocyte_CD14:ENSG00000269243 +19,57790234,Monocyte_CD14:ENSG00000269343 +19,8389352,Monocyte_CD14:ENSG00000269386 +19,17489331,Monocyte_CD14:ENSG00000269439 +19,17510949,Monocyte_CD14:ENSG00000269439 +19,54202060,Monocyte_CD14:ENSG00000269524 +19,4794536,Monocyte_CD14:ENSG00000269604 +19,38832452,Monocyte_CD14:ENSG00000269688 +19,4444859,Monocyte_CD14:ENSG00000269807 +19,5142035,Monocyte_CD14:ENSG00000269807 +19,52647078,Monocyte_CD14:ENSG00000269825 +19,52690517,Monocyte_CD14:ENSG00000269825 +19,52396303,Monocyte_CD14:ENSG00000269834 +19,40799888,Monocyte_CD14:ENSG00000269858 +19,51486486,Monocyte_CD14:ENSG00000273837 +19,51611832,Monocyte_CD14:ENSG00000273837 +19,51612691,Monocyte_CD14:ENSG00000273837 +19,51617075,Monocyte_CD14:ENSG00000273837 +19,51626895,Monocyte_CD14:ENSG00000273837 +19,51655063,Monocyte_CD14:ENSG00000273837 +19,39944141,Monocyte_CD14:ENSG00000275395 +19,39965818,Monocyte_CD14:ENSG00000275395 +19,57438168,Monocyte_CD14:ENSG00000276449 +19,58275257,Monocyte_CD14:ENSG00000278129 +19,27805272,Monocyte_CD14:ENSG00000281468 +19,27843154,Monocyte_CD14:ENSG00000281468 +19,17406524,Monocyte_CD14:ENSG00000282851 +19,58306592,Monocyte_CD14:ENSG00000283103 +19,58319320,Monocyte_CD14:ENSG00000283103 +19,58325385,Monocyte_CD14:ENSG00000283103 +19,58336750,Monocyte_CD14:ENSG00000283103 +19,58417863,Monocyte_CD14:ENSG00000283103 +19,58429150,Monocyte_CD14:ENSG00000283103 +19,41336560,Monocyte_CD14:ENSG00000286177 +19,55223904,Monocyte_CD14:ENSG00000286230 +19,50150269,Monocyte_CD14:ENSG00000287001 +19,53433975,Monocyte_CD14:ENSG00000287608 +19,2295630,Monocyte_CD14:ENSG00000288156 +9,123089081,Monocyte_CD14:ENSG00000011454 +9,17268198,Monocyte_CD14:ENSG00000044459 +9,93418793,Monocyte_CD14:ENSG00000048828 +9,136849430,Monocyte_CD14:ENSG00000054148 +9,136877386,Monocyte_CD14:ENSG00000054148 +9,120915851,Monocyte_CD14:ENSG00000056558 +9,123112750,Monocyte_CD14:ENSG00000056586 +9,108999504,Monocyte_CD14:ENSG00000070061 +9,105180912,Monocyte_CD14:ENSG00000070214 +9,35739658,Monocyte_CD14:ENSG00000070610 +9,3538177,Monocyte_CD14:ENSG00000080298 +9,86365298,Monocyte_CD14:ENSG00000083223 +9,134910318,Monocyte_CD14:ENSG00000085265 +9,134917115,Monocyte_CD14:ENSG00000085265 +9,134965600,Monocyte_CD14:ENSG00000085265 +9,33036114,Monocyte_CD14:ENSG00000086061 +9,33152371,Monocyte_CD14:ENSG00000086062 +9,33172639,Monocyte_CD14:ENSG00000086062 +9,33259613,Monocyte_CD14:ENSG00000086102 +9,91918251,Monocyte_CD14:ENSG00000090054 +9,92003611,Monocyte_CD14:ENSG00000090054 +9,105681051,Monocyte_CD14:ENSG00000095209 +9,105764516,Monocyte_CD14:ENSG00000095209 +9,120848010,Monocyte_CD14:ENSG00000095261 +9,122406599,Monocyte_CD14:ENSG00000095303 +9,129157902,Monocyte_CD14:ENSG00000095321 +9,98076920,Monocyte_CD14:ENSG00000095380 +9,98225635,Monocyte_CD14:ENSG00000095383 +9,4940638,Monocyte_CD14:ENSG00000096968 +9,4942478,Monocyte_CD14:ENSG00000096968 +9,4942493,Monocyte_CD14:ENSG00000096968 +9,129797611,Monocyte_CD14:ENSG00000097007 +9,75441117,Monocyte_CD14:ENSG00000099139 +9,75872327,Monocyte_CD14:ENSG00000099139 +9,5664947,Monocyte_CD14:ENSG00000099219 +9,5737544,Monocyte_CD14:ENSG00000099219 +9,21803100,Monocyte_CD14:ENSG00000099810 +9,105490729,Monocyte_CD14:ENSG00000106701 +9,75086546,Monocyte_CD14:ENSG00000106733 +9,75092384,Monocyte_CD14:ENSG00000106733 +9,75142034,Monocyte_CD14:ENSG00000106733 +9,109011728,Monocyte_CD14:ENSG00000106771 +9,109120152,Monocyte_CD14:ENSG00000106771 +9,109131749,Monocyte_CD14:ENSG00000106771 +9,76691945,Monocyte_CD14:ENSG00000106772 +9,76705724,Monocyte_CD14:ENSG00000106772 +9,120695596,Monocyte_CD14:ENSG00000106780 +9,120803597,Monocyte_CD14:ENSG00000106780 +9,98117017,Monocyte_CD14:ENSG00000106785 +9,98120227,Monocyte_CD14:ENSG00000106785 +9,98122244,Monocyte_CD14:ENSG00000106785 +9,98122282,Monocyte_CD14:ENSG00000106785 +9,98117017,Monocyte_CD14:ENSG00000106789 +9,98120227,Monocyte_CD14:ENSG00000106789 +9,98122244,Monocyte_CD14:ENSG00000106789 +9,98171092,Monocyte_CD14:ENSG00000106789 +9,98174697,Monocyte_CD14:ENSG00000106789 +9,99049229,Monocyte_CD14:ENSG00000106799 +9,99153605,Monocyte_CD14:ENSG00000106799 +9,99223386,Monocyte_CD14:ENSG00000106803 +9,121071177,Monocyte_CD14:ENSG00000106804 +9,121072022,Monocyte_CD14:ENSG00000106804 +9,79572180,Monocyte_CD14:ENSG00000106829 +9,111608275,Monocyte_CD14:ENSG00000106853 +9,112175409,Monocyte_CD14:ENSG00000106868 +9,112177778,Monocyte_CD14:ENSG00000106868 +9,114386150,Monocyte_CD14:ENSG00000106948 +9,114881082,Monocyte_CD14:ENSG00000106952 +9,128192959,Monocyte_CD14:ENSG00000106976 +9,128197270,Monocyte_CD14:ENSG00000106976 +9,127835846,Monocyte_CD14:ENSG00000106991 +9,127862444,Monocyte_CD14:ENSG00000106991 +9,5381766,Monocyte_CD14:ENSG00000107020 +9,128796151,Monocyte_CD14:ENSG00000107021 +9,5997075,Monocyte_CD14:ENSG00000107036 +9,6807567,Monocyte_CD14:ENSG00000107077 +9,212427,Monocyte_CD14:ENSG00000107099 +9,215228,Monocyte_CD14:ENSG00000107099 +9,331408,Monocyte_CD14:ENSG00000107099 +9,370124,Monocyte_CD14:ENSG00000107099 +9,706534,Monocyte_CD14:ENSG00000107104 +9,726242,Monocyte_CD14:ENSG00000107104 +9,35739658,Monocyte_CD14:ENSG00000107185 +9,136782852,Monocyte_CD14:ENSG00000107187 +9,32455174,Monocyte_CD14:ENSG00000107201 +9,68560649,Monocyte_CD14:ENSG00000107242 +9,4654913,Monocyte_CD14:ENSG00000107249 +9,131690577,Monocyte_CD14:ENSG00000107263 +9,69910843,Monocyte_CD14:ENSG00000107282 +9,132355565,Monocyte_CD14:ENSG00000107290 +9,137079368,Monocyte_CD14:ENSG00000107331 +9,38001837,Monocyte_CD14:ENSG00000107338 +9,33827696,Monocyte_CD14:ENSG00000107341 +9,37782894,Monocyte_CD14:ENSG00000107371 +9,72301176,Monocyte_CD14:ENSG00000107372 +9,72390270,Monocyte_CD14:ENSG00000107372 +9,72864135,Monocyte_CD14:ENSG00000107372 +9,70409605,Monocyte_CD14:ENSG00000119138 +9,69156023,Monocyte_CD14:ENSG00000119139 +9,69158506,Monocyte_CD14:ENSG00000119139 +9,69174775,Monocyte_CD14:ENSG00000119139 +9,112175409,Monocyte_CD14:ENSG00000119314 +9,107296857,Monocyte_CD14:ENSG00000119318 +9,113187876,Monocyte_CD14:ENSG00000119321 +9,113206071,Monocyte_CD14:ENSG00000119321 +9,113215742,Monocyte_CD14:ENSG00000119321 +9,113219491,Monocyte_CD14:ENSG00000119321 +9,109015077,Monocyte_CD14:ENSG00000119326 +9,109031301,Monocyte_CD14:ENSG00000119326 +9,109000645,Monocyte_CD14:ENSG00000119328 +9,129157902,Monocyte_CD14:ENSG00000119383 +9,128504933,Monocyte_CD14:ENSG00000119392 +9,121071177,Monocyte_CD14:ENSG00000119397 +9,121072022,Monocyte_CD14:ENSG00000119397 +9,116652863,Monocyte_CD14:ENSG00000119401 +9,120848010,Monocyte_CD14:ENSG00000119402 +9,120848010,Monocyte_CD14:ENSG00000119403 +9,124221903,Monocyte_CD14:ENSG00000119408 +9,124223579,Monocyte_CD14:ENSG00000119408 +9,125127428,Monocyte_CD14:ENSG00000119414 +9,122144177,Monocyte_CD14:ENSG00000119421 +9,113376966,Monocyte_CD14:ENSG00000119431 +9,113376980,Monocyte_CD14:ENSG00000119431 +9,113377121,Monocyte_CD14:ENSG00000119431 +9,113379119,Monocyte_CD14:ENSG00000119431 +9,122257228,Monocyte_CD14:ENSG00000119446 +9,112863419,Monocyte_CD14:ENSG00000119457 +9,112890746,Monocyte_CD14:ENSG00000119457 +9,112900800,Monocyte_CD14:ENSG00000119457 +9,112908708,Monocyte_CD14:ENSG00000119457 +9,112375196,Monocyte_CD14:ENSG00000119471 +9,112381233,Monocyte_CD14:ENSG00000119471 +9,100122880,Monocyte_CD14:ENSG00000119509 +9,123882464,Monocyte_CD14:ENSG00000119522 +9,99197681,Monocyte_CD14:ENSG00000119523 +9,27489206,Monocyte_CD14:ENSG00000120162 +9,32954417,Monocyte_CD14:ENSG00000122692 +9,33028258,Monocyte_CD14:ENSG00000122692 +9,36151051,Monocyte_CD14:ENSG00000122694 +9,36174037,Monocyte_CD14:ENSG00000122694 +9,36208973,Monocyte_CD14:ENSG00000122694 +9,37880290,Monocyte_CD14:ENSG00000122696 +9,36199236,Monocyte_CD14:ENSG00000122705 +9,35929735,Monocyte_CD14:ENSG00000122707 +9,32392747,Monocyte_CD14:ENSG00000122729 +9,89348767,Monocyte_CD14:ENSG00000123975 +9,132482795,Monocyte_CD14:ENSG00000125485 +9,131204511,Monocyte_CD14:ENSG00000126883 +9,131236005,Monocyte_CD14:ENSG00000126883 +9,92878077,Monocyte_CD14:ENSG00000127081 +9,93024813,Monocyte_CD14:ENSG00000127084 +9,93037920,Monocyte_CD14:ENSG00000127084 +9,89603867,Monocyte_CD14:ENSG00000130222 +9,89606879,Monocyte_CD14:ENSG00000130222 +9,89661521,Monocyte_CD14:ENSG00000130222 +9,134917115,Monocyte_CD14:ENSG00000130558 +9,134965600,Monocyte_CD14:ENSG00000130558 +9,135027285,Monocyte_CD14:ENSG00000130558 +9,135948231,Monocyte_CD14:ENSG00000130560 +9,131361151,Monocyte_CD14:ENSG00000130714 +9,131361151,Monocyte_CD14:ENSG00000130723 +9,131401828,Monocyte_CD14:ENSG00000130723 +9,96383668,Monocyte_CD14:ENSG00000130958 +9,96384751,Monocyte_CD14:ENSG00000130958 +9,93121503,Monocyte_CD14:ENSG00000131669 +9,93134304,Monocyte_CD14:ENSG00000131669 +9,75101963,Monocyte_CD14:ENSG00000134996 +9,75140593,Monocyte_CD14:ENSG00000134996 +9,75149920,Monocyte_CD14:ENSG00000134996 +9,76394431,Monocyte_CD14:ENSG00000135002 +9,83569589,Monocyte_CD14:ENSG00000135018 +9,74943000,Monocyte_CD14:ENSG00000135045 +9,73156398,Monocyte_CD14:ENSG00000135046 +9,73169021,Monocyte_CD14:ENSG00000135046 +9,73237291,Monocyte_CD14:ENSG00000135046 +9,87725948,Monocyte_CD14:ENSG00000135047 +9,87840377,Monocyte_CD14:ENSG00000135047 +9,71693620,Monocyte_CD14:ENSG00000135048 +9,71749965,Monocyte_CD14:ENSG00000135048 +9,85715736,Monocyte_CD14:ENSG00000135049 +9,85734869,Monocyte_CD14:ENSG00000135049 +9,85813390,Monocyte_CD14:ENSG00000135052 +9,86077134,Monocyte_CD14:ENSG00000135052 +9,86092357,Monocyte_CD14:ENSG00000135052 +9,86099574,Monocyte_CD14:ENSG00000135052 +9,86102516,Monocyte_CD14:ENSG00000135052 +9,104757046,Monocyte_CD14:ENSG00000136783 +9,104762109,Monocyte_CD14:ENSG00000136783 +9,128823196,Monocyte_CD14:ENSG00000136802 +9,110252447,Monocyte_CD14:ENSG00000136810 +9,110256475,Monocyte_CD14:ENSG00000136810 +9,110283871,Monocyte_CD14:ENSG00000136810 +9,110318036,Monocyte_CD14:ENSG00000136810 +9,128531108,Monocyte_CD14:ENSG00000136811 +9,129804387,Monocyte_CD14:ENSG00000136816 +9,129829836,Monocyte_CD14:ENSG00000136819 +9,129834783,Monocyte_CD14:ENSG00000136819 +9,104092312,Monocyte_CD14:ENSG00000136824 +9,107513571,Monocyte_CD14:ENSG00000136826 +9,129864469,Monocyte_CD14:ENSG00000136827 +9,126911088,Monocyte_CD14:ENSG00000136828 +9,127584239,Monocyte_CD14:ENSG00000136830 +9,127966874,Monocyte_CD14:ENSG00000136840 +9,97575671,Monocyte_CD14:ENSG00000136842 +9,121559391,Monocyte_CD14:ENSG00000136848 +9,127355862,Monocyte_CD14:ENSG00000136856 +9,127457968,Monocyte_CD14:ENSG00000136856 +9,120580331,Monocyte_CD14:ENSG00000136861 +9,113088882,Monocyte_CD14:ENSG00000136866 +9,113091809,Monocyte_CD14:ENSG00000136866 +9,113126683,Monocyte_CD14:ENSG00000136867 +9,113155503,Monocyte_CD14:ENSG00000136867 +9,113206071,Monocyte_CD14:ENSG00000136868 +9,113219491,Monocyte_CD14:ENSG00000136868 +9,113263702,Monocyte_CD14:ENSG00000136868 +9,117714087,Monocyte_CD14:ENSG00000136869 +9,101421687,Monocyte_CD14:ENSG00000136870 +9,99915307,Monocyte_CD14:ENSG00000136874 +9,99924800,Monocyte_CD14:ENSG00000136874 +9,100068205,Monocyte_CD14:ENSG00000136874 +9,113275614,Monocyte_CD14:ENSG00000136875 +9,127739959,Monocyte_CD14:ENSG00000136877 +9,114607691,Monocyte_CD14:ENSG00000136888 +9,100346659,Monocyte_CD14:ENSG00000136891 +9,124360479,Monocyte_CD14:ENSG00000136930 +9,125165548,Monocyte_CD14:ENSG00000136933 +9,125039078,Monocyte_CD14:ENSG00000136935 +9,98035315,Monocyte_CD14:ENSG00000136938 +9,7799723,Monocyte_CD14:ENSG00000137038 +9,7973221,Monocyte_CD14:ENSG00000137038 +9,5995061,Monocyte_CD14:ENSG00000137040 +9,37496314,Monocyte_CD14:ENSG00000137054 +9,34649056,Monocyte_CD14:ENSG00000137070 +9,33827696,Monocyte_CD14:ENSG00000137073 +9,36337464,Monocyte_CD14:ENSG00000137075 +9,36446910,Monocyte_CD14:ENSG00000137075 +9,35739658,Monocyte_CD14:ENSG00000137076 +9,34988287,Monocyte_CD14:ENSG00000137094 +9,35844929,Monocyte_CD14:ENSG00000137103 +9,37422527,Monocyte_CD14:ENSG00000137106 +9,19222704,Monocyte_CD14:ENSG00000137145 +9,19235534,Monocyte_CD14:ENSG00000137145 +9,19376048,Monocyte_CD14:ENSG00000137154 +9,19380238,Monocyte_CD14:ENSG00000137154 +9,113514704,Monocyte_CD14:ENSG00000138835 +9,2602279,Monocyte_CD14:ENSG00000147852 +9,2621884,Monocyte_CD14:ENSG00000147852 +9,4741173,Monocyte_CD14:ENSG00000147853 +9,4741241,Monocyte_CD14:ENSG00000147853 +9,19119238,Monocyte_CD14:ENSG00000147872 +9,19119950,Monocyte_CD14:ENSG00000147872 +9,19127982,Monocyte_CD14:ENSG00000147872 +9,22007859,Monocyte_CD14:ENSG00000147883 +9,27550735,Monocyte_CD14:ENSG00000147894 +9,27565716,Monocyte_CD14:ENSG00000147894 +9,27573816,Monocyte_CD14:ENSG00000147894 +9,34635019,Monocyte_CD14:ENSG00000147955 +9,83569589,Monocyte_CD14:ENSG00000148057 +9,94366722,Monocyte_CD14:ENSG00000148110 +9,94392444,Monocyte_CD14:ENSG00000148110 +9,94460682,Monocyte_CD14:ENSG00000148110 +9,111934723,Monocyte_CD14:ENSG00000148154 +9,112636948,Monocyte_CD14:ENSG00000148158 +9,112791881,Monocyte_CD14:ENSG00000148158 +9,112863419,Monocyte_CD14:ENSG00000148158 +9,121370602,Monocyte_CD14:ENSG00000148175 +9,121249733,Monocyte_CD14:ENSG00000148180 +9,121251997,Monocyte_CD14:ENSG00000148180 +9,113401365,Monocyte_CD14:ENSG00000148218 +9,113514704,Monocyte_CD14:ENSG00000148218 +9,113514704,Monocyte_CD14:ENSG00000148229 +9,133163943,Monocyte_CD14:ENSG00000148288 +9,133356490,Monocyte_CD14:ENSG00000148290 +9,133370663,Monocyte_CD14:ENSG00000148290 +9,133361131,Monocyte_CD14:ENSG00000148291 +9,133331550,Monocyte_CD14:ENSG00000148296 +9,133337361,Monocyte_CD14:ENSG00000148296 +9,133331550,Monocyte_CD14:ENSG00000148297 +9,133338938,Monocyte_CD14:ENSG00000148297 +9,133387168,Monocyte_CD14:ENSG00000148300 +9,133337361,Monocyte_CD14:ENSG00000148303 +9,133387168,Monocyte_CD14:ENSG00000148303 +9,129640962,Monocyte_CD14:ENSG00000148335 +9,128192959,Monocyte_CD14:ENSG00000148337 +9,129028426,Monocyte_CD14:ENSG00000148341 +9,136988288,Monocyte_CD14:ENSG00000148362 +9,136483046,Monocyte_CD14:ENSG00000148396 +9,136561901,Monocyte_CD14:ENSG00000148400 +9,136003933,Monocyte_CD14:ENSG00000148411 +9,136091824,Monocyte_CD14:ENSG00000148411 +9,68560649,Monocyte_CD14:ENSG00000154330 +9,15296759,Monocyte_CD14:ENSG00000155158 +9,15304728,Monocyte_CD14:ENSG00000155158 +9,71948989,Monocyte_CD14:ENSG00000155621 +9,101531551,Monocyte_CD14:ENSG00000155827 +9,78023249,Monocyte_CD14:ENSG00000156052 +9,93034815,Monocyte_CD14:ENSG00000157303 +9,93056352,Monocyte_CD14:ENSG00000157303 +9,114642361,Monocyte_CD14:ENSG00000157693 +9,35671267,Monocyte_CD14:ENSG00000159884 +9,133786507,Monocyte_CD14:ENSG00000160293 +9,133869456,Monocyte_CD14:ENSG00000160293 +9,133337361,Monocyte_CD14:ENSG00000160325 +9,133473458,Monocyte_CD14:ENSG00000160326 +9,135499928,Monocyte_CD14:ENSG00000160345 +9,136327352,Monocyte_CD14:ENSG00000160360 +9,127677263,Monocyte_CD14:ENSG00000160404 +9,127734851,Monocyte_CD14:ENSG00000160404 +9,127966874,Monocyte_CD14:ENSG00000160408 +9,128703202,Monocyte_CD14:ENSG00000160447 +9,34627336,Monocyte_CD14:ENSG00000164967 +9,15433284,Monocyte_CD14:ENSG00000164975 +9,34243888,Monocyte_CD14:ENSG00000164978 +9,34336108,Monocyte_CD14:ENSG00000164978 +9,34342384,Monocyte_CD14:ENSG00000164978 +9,15544051,Monocyte_CD14:ENSG00000164985 +9,15553108,Monocyte_CD14:ENSG00000164989 +9,34243888,Monocyte_CD14:ENSG00000165006 +9,90568721,Monocyte_CD14:ENSG00000165025 +9,90801710,Monocyte_CD14:ENSG00000165025 +9,90819539,Monocyte_CD14:ENSG00000165025 +9,90896572,Monocyte_CD14:ENSG00000165025 +9,104774740,Monocyte_CD14:ENSG00000165028 +9,104784620,Monocyte_CD14:ENSG00000165028 +9,104928254,Monocyte_CD14:ENSG00000165029 +9,91153756,Monocyte_CD14:ENSG00000165030 +9,69156023,Monocyte_CD14:ENSG00000165060 +9,72904335,Monocyte_CD14:ENSG00000165091 +9,72982914,Monocyte_CD14:ENSG00000165092 +9,73237291,Monocyte_CD14:ENSG00000165092 +9,83817478,Monocyte_CD14:ENSG00000165113 +9,83818122,Monocyte_CD14:ENSG00000165113 +9,83891964,Monocyte_CD14:ENSG00000165115 +9,83948628,Monocyte_CD14:ENSG00000165118 +9,98728781,Monocyte_CD14:ENSG00000165138 +9,94560066,Monocyte_CD14:ENSG00000165140 +9,94630919,Monocyte_CD14:ENSG00000165140 +9,94640341,Monocyte_CD14:ENSG00000165140 +9,112831449,Monocyte_CD14:ENSG00000165185 +9,93034815,Monocyte_CD14:ENSG00000165233 +9,93095051,Monocyte_CD14:ENSG00000165233 +9,93095654,Monocyte_CD14:ENSG00000165233 +9,32574058,Monocyte_CD14:ENSG00000165264 +9,33467358,Monocyte_CD14:ENSG00000165271 +9,37753727,Monocyte_CD14:ENSG00000165275 +9,35063623,Monocyte_CD14:ENSG00000165280 +9,136503616,Monocyte_CD14:ENSG00000165684 +9,136410555,Monocyte_CD14:ENSG00000165689 +9,132908137,Monocyte_CD14:ENSG00000165699 +9,137455422,Monocyte_CD14:ENSG00000165802 +9,137455835,Monocyte_CD14:ENSG00000165802 +9,137461922,Monocyte_CD14:ENSG00000165802 +9,127984070,Monocyte_CD14:ENSG00000167103 +9,128320336,Monocyte_CD14:ENSG00000167113 +9,128390528,Monocyte_CD14:ENSG00000167118 +9,128420824,Monocyte_CD14:ENSG00000167123 +9,128817059,Monocyte_CD14:ENSG00000167136 +9,128823196,Monocyte_CD14:ENSG00000167136 +9,136679525,Monocyte_CD14:ENSG00000169692 +9,134069802,Monocyte_CD14:ENSG00000169925 +9,45440,Monocyte_CD14:ENSG00000170122 +9,128159633,Monocyte_CD14:ENSG00000171159 +9,128192959,Monocyte_CD14:ENSG00000171159 +9,20621214,Monocyte_CD14:ENSG00000171843 +9,83429258,Monocyte_CD14:ENSG00000172159 +9,83452802,Monocyte_CD14:ENSG00000172159 +9,83461747,Monocyte_CD14:ENSG00000172159 +9,83569589,Monocyte_CD14:ENSG00000172159 +9,170355,Monocyte_CD14:ENSG00000172785 +9,136664675,Monocyte_CD14:ENSG00000172889 +9,133255902,Monocyte_CD14:ENSG00000175164 +9,133263862,Monocyte_CD14:ENSG00000175164 +9,133277270,Monocyte_CD14:ENSG00000175164 +9,95866942,Monocyte_CD14:ENSG00000175611 +9,95878389,Monocyte_CD14:ENSG00000175611 +9,122053177,Monocyte_CD14:ENSG00000175764 +9,94285120,Monocyte_CD14:ENSG00000175787 +9,14693125,Monocyte_CD14:ENSG00000175893 +9,137190934,Monocyte_CD14:ENSG00000176058 +9,137193245,Monocyte_CD14:ENSG00000176101 +9,113275614,Monocyte_CD14:ENSG00000176386 +9,137074745,Monocyte_CD14:ENSG00000176978 +9,137102934,Monocyte_CD14:ENSG00000176978 +9,137074745,Monocyte_CD14:ENSG00000177239 +9,83948628,Monocyte_CD14:ENSG00000178966 +9,137032508,Monocyte_CD14:ENSG00000180539 +9,137027362,Monocyte_CD14:ENSG00000180549 +9,137038792,Monocyte_CD14:ENSG00000180549 +9,137074745,Monocyte_CD14:ENSG00000180549 +9,137627373,Monocyte_CD14:ENSG00000181090 +9,45440,Monocyte_CD14:ENSG00000181404 +9,114806486,Monocyte_CD14:ENSG00000181634 +9,95866205,Monocyte_CD14:ENSG00000182150 +9,137628903,Monocyte_CD14:ENSG00000182154 +9,215081,Monocyte_CD14:ENSG00000183784 +9,92756260,Monocyte_CD14:ENSG00000185963 +9,137074745,Monocyte_CD14:ENSG00000186193 +9,134404914,Monocyte_CD14:ENSG00000186350 +9,34272425,Monocyte_CD14:ENSG00000186638 +9,127715489,Monocyte_CD14:ENSG00000187024 +9,76705724,Monocyte_CD14:ENSG00000187210 +9,129887031,Monocyte_CD14:ENSG00000187239 +9,129913574,Monocyte_CD14:ENSG00000187239 +9,137413269,Monocyte_CD14:ENSG00000187609 +9,89420023,Monocyte_CD14:ENSG00000187764 +9,89498735,Monocyte_CD14:ENSG00000187764 +9,136373081,Monocyte_CD14:ENSG00000187796 +9,136435514,Monocyte_CD14:ENSG00000187796 +9,92283167,Monocyte_CD14:ENSG00000188312 +9,69692015,Monocyte_CD14:ENSG00000188647 +9,69708565,Monocyte_CD14:ENSG00000188647 +9,130890621,Monocyte_CD14:ENSG00000188710 +9,137405368,Monocyte_CD14:ENSG00000188747 +9,137423974,Monocyte_CD14:ENSG00000188747 +9,21012905,Monocyte_CD14:ENSG00000188921 +9,21020203,Monocyte_CD14:ENSG00000188921 +9,21023612,Monocyte_CD14:ENSG00000188921 +9,21031353,Monocyte_CD14:ENSG00000188921 +9,21064859,Monocyte_CD14:ENSG00000188921 +9,93445292,Monocyte_CD14:ENSG00000188938 +9,137262977,Monocyte_CD14:ENSG00000188986 +9,127451229,Monocyte_CD14:ENSG00000196152 +9,92478901,Monocyte_CD14:ENSG00000196305 +9,96835599,Monocyte_CD14:ENSG00000196312 +9,132243197,Monocyte_CD14:ENSG00000196358 +9,132248912,Monocyte_CD14:ENSG00000196358 +9,87518144,Monocyte_CD14:ENSG00000196730 +9,87521585,Monocyte_CD14:ENSG00000196730 +9,87554836,Monocyte_CD14:ENSG00000196730 +9,87557098,Monocyte_CD14:ENSG00000196730 +9,87614772,Monocyte_CD14:ENSG00000196730 +9,81681442,Monocyte_CD14:ENSG00000196781 +9,81691961,Monocyte_CD14:ENSG00000196781 +9,126317259,Monocyte_CD14:ENSG00000196814 +9,126454577,Monocyte_CD14:ENSG00000196814 +9,137605991,Monocyte_CD14:ENSG00000197070 +9,137074745,Monocyte_CD14:ENSG00000197355 +9,137102934,Monocyte_CD14:ENSG00000197355 +9,84367908,Monocyte_CD14:ENSG00000197506 +9,128531108,Monocyte_CD14:ENSG00000197694 +9,97264278,Monocyte_CD14:ENSG00000197816 +9,127451229,Monocyte_CD14:ENSG00000197958 +9,127456448,Monocyte_CD14:ENSG00000197958 +9,77172679,Monocyte_CD14:ENSG00000197969 +9,77177045,Monocyte_CD14:ENSG00000197969 +9,77177524,Monocyte_CD14:ENSG00000197969 +9,92339447,Monocyte_CD14:ENSG00000198000 +9,137285088,Monocyte_CD14:ENSG00000198113 +9,111034697,Monocyte_CD14:ENSG00000198121 +9,111077967,Monocyte_CD14:ENSG00000198121 +9,111150273,Monocyte_CD14:ENSG00000198121 +9,111169674,Monocyte_CD14:ENSG00000198121 +9,111191714,Monocyte_CD14:ENSG00000198121 +9,21274717,Monocyte_CD14:ENSG00000198642 +9,21319270,Monocyte_CD14:ENSG00000198642 +9,25678687,Monocyte_CD14:ENSG00000198680 +9,102161598,Monocyte_CD14:ENSG00000198785 +9,35600909,Monocyte_CD14:ENSG00000198853 +9,34124607,Monocyte_CD14:ENSG00000198876 +9,34153135,Monocyte_CD14:ENSG00000198876 +9,70210997,Monocyte_CD14:ENSG00000198887 +9,128817059,Monocyte_CD14:ENSG00000198917 +9,129483732,Monocyte_CD14:ENSG00000204054 +9,129491640,Monocyte_CD14:ENSG00000204054 +9,61625403,Monocyte_CD14:ENSG00000204802 +9,35824677,Monocyte_CD14:ENSG00000204930 +9,4661508,Monocyte_CD14:ENSG00000205808 +9,4671929,Monocyte_CD14:ENSG00000205808 +9,136358507,Monocyte_CD14:ENSG00000213221 +9,136366042,Monocyte_CD14:ENSG00000213221 +9,88840447,Monocyte_CD14:ENSG00000213694 +9,88951839,Monocyte_CD14:ENSG00000213694 +9,34627336,Monocyte_CD14:ENSG00000213930 +9,41135019,Monocyte_CD14:ENSG00000215126 +9,128731862,Monocyte_CD14:ENSG00000223478 +9,128851978,Monocyte_CD14:ENSG00000223478 +9,129288161,Monocyte_CD14:ENSG00000224307 +9,63616569,Monocyte_CD14:ENSG00000225411 +9,72301176,Monocyte_CD14:ENSG00000225434 +9,6716393,Monocyte_CD14:ENSG00000225489 +9,134465100,Monocyte_CD14:ENSG00000225756 +9,121370602,Monocyte_CD14:ENSG00000227355 +9,111169674,Monocyte_CD14:ENSG00000227531 +9,114315893,Monocyte_CD14:ENSG00000228278 +9,68560649,Monocyte_CD14:ENSG00000229019 +9,114315893,Monocyte_CD14:ENSG00000229314 +9,114317224,Monocyte_CD14:ENSG00000229314 +9,105022489,Monocyte_CD14:ENSG00000230013 +9,34673778,Monocyte_CD14:ENSG00000230074 +9,61174344,Monocyte_CD14:ENSG00000231527 +9,113126683,Monocyte_CD14:ENSG00000231528 +9,94344100,Monocyte_CD14:ENSG00000232063 +9,94366722,Monocyte_CD14:ENSG00000232063 +9,3526594,Monocyte_CD14:ENSG00000232104 +9,110590869,Monocyte_CD14:ENSG00000232896 +9,136698367,Monocyte_CD14:ENSG00000233016 +9,136717338,Monocyte_CD14:ENSG00000233016 +9,136719234,Monocyte_CD14:ENSG00000233016 +9,136719614,Monocyte_CD14:ENSG00000233016 +9,136722759,Monocyte_CD14:ENSG00000233016 +9,136726514,Monocyte_CD14:ENSG00000233016 +9,129328470,Monocyte_CD14:ENSG00000233901 +9,68553402,Monocyte_CD14:ENSG00000234506 +9,68556587,Monocyte_CD14:ENSG00000234506 +9,68560649,Monocyte_CD14:ENSG00000234506 +9,63651494,Monocyte_CD14:ENSG00000234665 +9,32506305,Monocyte_CD14:ENSG00000235453 +9,90258804,Monocyte_CD14:ENSG00000235641 +9,121249733,Monocyte_CD14:ENSG00000235865 +9,134935104,Monocyte_CD14:ENSG00000236403 +9,87518144,Monocyte_CD14:ENSG00000236709 +9,87559061,Monocyte_CD14:ENSG00000236709 +9,87614772,Monocyte_CD14:ENSG00000236709 +9,41658909,Monocyte_CD14:ENSG00000237357 +9,3526594,Monocyte_CD14:ENSG00000237359 +9,138179478,Monocyte_CD14:ENSG00000237419 +9,89961872,Monocyte_CD14:ENSG00000237626 +9,136546393,Monocyte_CD14:ENSG00000237886 +9,63616569,Monocyte_CD14:ENSG00000238113 +9,22007859,Monocyte_CD14:ENSG00000240498 +9,111636875,Monocyte_CD14:ENSG00000242616 +9,111649611,Monocyte_CD14:ENSG00000242616 +9,111659913,Monocyte_CD14:ENSG00000242616 +9,136791220,Monocyte_CD14:ENSG00000244187 +9,83662269,Monocyte_CD14:ENSG00000254473 +9,83708394,Monocyte_CD14:ENSG00000254473 +9,112035757,Monocyte_CD14:ENSG00000259953 +9,112135063,Monocyte_CD14:ENSG00000259953 +9,112175409,Monocyte_CD14:ENSG00000259953 +9,27690821,Monocyte_CD14:ENSG00000260390 +9,33691075,Monocyte_CD14:ENSG00000260947 +9,69982190,Monocyte_CD14:ENSG00000268364 +9,129135977,Monocyte_CD14:ENSG00000268707 +9,137079177,Monocyte_CD14:ENSG00000268996 +9,35671267,Monocyte_CD14:ENSG00000269900 +9,94256989,Monocyte_CD14:ENSG00000269929 +9,122369749,Monocyte_CD14:ENSG00000269970 +9,19376048,Monocyte_CD14:ENSG00000272842 +9,14693125,Monocyte_CD14:ENSG00000272871 +9,4679166,Monocyte_CD14:ENSG00000273061 +9,127572892,Monocyte_CD14:ENSG00000279571 +9,30575057,Monocyte_CD14:ENSG00000280683 +9,33691075,Monocyte_CD14:ENSG00000281128 +9,23524766,Monocyte_CD14:ENSG00000283982 +9,23529163,Monocyte_CD14:ENSG00000283982 +9,117712563,Monocyte_CD14:ENSG00000284977 +9,117714087,Monocyte_CD14:ENSG00000284977 +9,117715853,Monocyte_CD14:ENSG00000284977 +9,27565716,Monocyte_CD14:ENSG00000285103 +9,113091809,Monocyte_CD14:ENSG00000285447 +9,7174585,Monocyte_CD14:ENSG00000285688 +9,129491640,Monocyte_CD14:ENSG00000286078 +9,5577481,Monocyte_CD14:ENSG00000286162 +9,5601399,Monocyte_CD14:ENSG00000286162 +9,5604723,Monocyte_CD14:ENSG00000286162 +9,5621483,Monocyte_CD14:ENSG00000286162 +9,27572187,Monocyte_CD14:ENSG00000287355 +9,94751036,Monocyte_CD14:ENSG00000288023 +14,70752493,Monocyte_CD14:ENSG00000006432 +14,93282335,Monocyte_CD14:ENSG00000011114 +14,50534052,Monocyte_CD14:ENSG00000012983 +14,76720718,Monocyte_CD14:ENSG00000013523 +14,76848830,Monocyte_CD14:ENSG00000013523 +14,91361197,Monocyte_CD14:ENSG00000015133 +14,91392919,Monocyte_CD14:ENSG00000015133 +14,54776491,Monocyte_CD14:ENSG00000020577 +14,54780472,Monocyte_CD14:ENSG00000020577 +14,61762213,Monocyte_CD14:ENSG00000023608 +14,61762567,Monocyte_CD14:ENSG00000023608 +14,61765485,Monocyte_CD14:ENSG00000023608 +14,69375226,Monocyte_CD14:ENSG00000029364 +14,69418224,Monocyte_CD14:ENSG00000029364 +14,65412636,Monocyte_CD14:ENSG00000033170 +14,89885215,Monocyte_CD14:ENSG00000042088 +14,89956320,Monocyte_CD14:ENSG00000042088 +14,88361089,Monocyte_CD14:ENSG00000042317 +14,59446373,Monocyte_CD14:ENSG00000050130 +14,59470862,Monocyte_CD14:ENSG00000050130 +14,87992806,Monocyte_CD14:ENSG00000054983 +14,87994904,Monocyte_CD14:ENSG00000054983 +14,77813858,Monocyte_CD14:ENSG00000063761 +14,91990655,Monocyte_CD14:ENSG00000066427 +14,64708646,Monocyte_CD14:ENSG00000070182 +14,56641518,Monocyte_CD14:ENSG00000070269 +14,76720718,Monocyte_CD14:ENSG00000071246 +14,67646576,Monocyte_CD14:ENSG00000072042 +14,68936569,Monocyte_CD14:ENSG00000072110 +14,68945163,Monocyte_CD14:ENSG00000072110 +14,67798899,Monocyte_CD14:ENSG00000072121 +14,103380379,Monocyte_CD14:ENSG00000075413 +14,103520968,Monocyte_CD14:ENSG00000075413 +14,73106840,Monocyte_CD14:ENSG00000080815 +14,73152598,Monocyte_CD14:ENSG00000080815 +14,73191429,Monocyte_CD14:ENSG00000080815 +14,102256107,Monocyte_CD14:ENSG00000080823 +14,52565575,Monocyte_CD14:ENSG00000087301 +14,51993447,Monocyte_CD14:ENSG00000087302 +14,94046069,Monocyte_CD14:ENSG00000089737 +14,94081217,Monocyte_CD14:ENSG00000089737 +14,102530904,Monocyte_CD14:ENSG00000089902 +14,102591686,Monocyte_CD14:ENSG00000089902 +14,102667884,Monocyte_CD14:ENSG00000089902 +14,76160771,Monocyte_CD14:ENSG00000089916 +14,76198793,Monocyte_CD14:ENSG00000089916 +14,96481928,Monocyte_CD14:ENSG00000090060 +14,24137907,Monocyte_CD14:ENSG00000092010 +14,24141524,Monocyte_CD14:ENSG00000092010 +14,35122520,Monocyte_CD14:ENSG00000092020 +14,35126886,Monocyte_CD14:ENSG00000092020 +14,35145862,Monocyte_CD14:ENSG00000092020 +14,22907045,Monocyte_CD14:ENSG00000092036 +14,22933851,Monocyte_CD14:ENSG00000092036 +14,22938297,Monocyte_CD14:ENSG00000092036 +14,22952002,Monocyte_CD14:ENSG00000092036 +14,22975550,Monocyte_CD14:ENSG00000092036 +14,23120140,Monocyte_CD14:ENSG00000092067 +14,20413368,Monocyte_CD14:ENSG00000092094 +14,20427487,Monocyte_CD14:ENSG00000092094 +14,20448828,Monocyte_CD14:ENSG00000092094 +14,20454835,Monocyte_CD14:ENSG00000092094 +14,30622552,Monocyte_CD14:ENSG00000092108 +14,31164883,Monocyte_CD14:ENSG00000092148 +14,21316885,Monocyte_CD14:ENSG00000092200 +14,21320581,Monocyte_CD14:ENSG00000092200 +14,104856704,Monocyte_CD14:ENSG00000099814 +14,24429988,Monocyte_CD14:ENSG00000100441 +14,24429988,Monocyte_CD14:ENSG00000100445 +14,24441767,Monocyte_CD14:ENSG00000100445 +14,24576383,Monocyte_CD14:ENSG00000100448 +14,22894897,Monocyte_CD14:ENSG00000100461 +14,22903704,Monocyte_CD14:ENSG00000100461 +14,30861452,Monocyte_CD14:ENSG00000100473 +14,31010085,Monocyte_CD14:ENSG00000100478 +14,50104754,Monocyte_CD14:ENSG00000100483 +14,50320123,Monocyte_CD14:ENSG00000100485 +14,50842180,Monocyte_CD14:ENSG00000100503 +14,50926599,Monocyte_CD14:ENSG00000100504 +14,50935708,Monocyte_CD14:ENSG00000100504 +14,52697146,Monocyte_CD14:ENSG00000100519 +14,52728358,Monocyte_CD14:ENSG00000100519 +14,53017766,Monocyte_CD14:ENSG00000100523 +14,54405868,Monocyte_CD14:ENSG00000100526 +14,67325894,Monocyte_CD14:ENSG00000100554 +14,76824544,Monocyte_CD14:ENSG00000100565 +14,67683539,Monocyte_CD14:ENSG00000100568 +14,67714890,Monocyte_CD14:ENSG00000100568 +14,77324529,Monocyte_CD14:ENSG00000100577 +14,77380915,Monocyte_CD14:ENSG00000100580 +14,59190371,Monocyte_CD14:ENSG00000100592 +14,59305012,Monocyte_CD14:ENSG00000100592 +14,77502897,Monocyte_CD14:ENSG00000100596 +14,77557176,Monocyte_CD14:ENSG00000100596 +14,77648713,Monocyte_CD14:ENSG00000100596 +14,92461058,Monocyte_CD14:ENSG00000100599 +14,92489041,Monocyte_CD14:ENSG00000100599 +14,92548584,Monocyte_CD14:ENSG00000100599 +14,92704556,Monocyte_CD14:ENSG00000100600 +14,77712604,Monocyte_CD14:ENSG00000100601 +14,77813858,Monocyte_CD14:ENSG00000100603 +14,92939331,Monocyte_CD14:ENSG00000100605 +14,60009120,Monocyte_CD14:ENSG00000100612 +14,93961657,Monocyte_CD14:ENSG00000100628 +14,80580466,Monocyte_CD14:ENSG00000100629 +14,80979518,Monocyte_CD14:ENSG00000100629 +14,69418224,Monocyte_CD14:ENSG00000100632 +14,61492461,Monocyte_CD14:ENSG00000100644 +14,61751599,Monocyte_CD14:ENSG00000100644 +14,69716025,Monocyte_CD14:ENSG00000100647 +14,69762381,Monocyte_CD14:ENSG00000100650 +14,103347550,Monocyte_CD14:ENSG00000100664 +14,95136322,Monocyte_CD14:ENSG00000100697 +14,103628983,Monocyte_CD14:ENSG00000100711 +14,64392473,Monocyte_CD14:ENSG00000100714 +14,70882977,Monocyte_CD14:ENSG00000100731 +14,70929053,Monocyte_CD14:ENSG00000100731 +14,96363513,Monocyte_CD14:ENSG00000100744 +14,96894082,Monocyte_CD14:ENSG00000100749 +14,90262242,Monocyte_CD14:ENSG00000100764 +14,73152598,Monocyte_CD14:ENSG00000100767 +14,90912476,Monocyte_CD14:ENSG00000100784 +14,91452737,Monocyte_CD14:ENSG00000100796 +14,23034812,Monocyte_CD14:ENSG00000100804 +14,22897857,Monocyte_CD14:ENSG00000100813 +14,20338500,Monocyte_CD14:ENSG00000100814 +14,92021739,Monocyte_CD14:ENSG00000100815 +14,92082649,Monocyte_CD14:ENSG00000100815 +14,20427487,Monocyte_CD14:ENSG00000100823 +14,20457820,Monocyte_CD14:ENSG00000100823 +14,20470092,Monocyte_CD14:ENSG00000100823 +14,23325634,Monocyte_CD14:ENSG00000100836 +14,32076957,Monocyte_CD14:ENSG00000100852 +14,32133183,Monocyte_CD14:ENSG00000100852 +14,32176682,Monocyte_CD14:ENSG00000100852 +14,102344291,Monocyte_CD14:ENSG00000100865 +14,35010341,Monocyte_CD14:ENSG00000100883 +14,24058463,Monocyte_CD14:ENSG00000100889 +14,35145862,Monocyte_CD14:ENSG00000100890 +14,35266500,Monocyte_CD14:ENSG00000100902 +14,24141524,Monocyte_CD14:ENSG00000100911 +14,24172317,Monocyte_CD14:ENSG00000100918 +14,24237061,Monocyte_CD14:ENSG00000100938 +14,39168213,Monocyte_CD14:ENSG00000100941 +14,72878737,Monocyte_CD14:ENSG00000119599 +14,72926683,Monocyte_CD14:ENSG00000119599 +14,74652224,Monocyte_CD14:ENSG00000119616 +14,94098372,Monocyte_CD14:ENSG00000119632 +14,94129608,Monocyte_CD14:ENSG00000119632 +14,94129652,Monocyte_CD14:ENSG00000119632 +14,76002497,Monocyte_CD14:ENSG00000119650 +14,74480701,Monocyte_CD14:ENSG00000119655 +14,74487356,Monocyte_CD14:ENSG00000119655 +14,77044057,Monocyte_CD14:ENSG00000119669 +14,77051047,Monocyte_CD14:ENSG00000119669 +14,75022929,Monocyte_CD14:ENSG00000119684 +14,75692295,Monocyte_CD14:ENSG00000119685 +14,75608312,Monocyte_CD14:ENSG00000119686 +14,75615321,Monocyte_CD14:ENSG00000119686 +14,74313336,Monocyte_CD14:ENSG00000119688 +14,73152598,Monocyte_CD14:ENSG00000119707 +14,74200251,Monocyte_CD14:ENSG00000119711 +14,75022929,Monocyte_CD14:ENSG00000119718 +14,73998582,Monocyte_CD14:ENSG00000119723 +14,50153675,Monocyte_CD14:ENSG00000125375 +14,50320123,Monocyte_CD14:ENSG00000125375 +14,54048567,Monocyte_CD14:ENSG00000125378 +14,52314477,Monocyte_CD14:ENSG00000125384 +14,65075889,Monocyte_CD14:ENSG00000125952 +14,65138694,Monocyte_CD14:ENSG00000125952 +14,103628983,Monocyte_CD14:ENSG00000126214 +14,55543600,Monocyte_CD14:ENSG00000126777 +14,55621684,Monocyte_CD14:ENSG00000126777 +14,59480790,Monocyte_CD14:ENSG00000126790 +14,64494761,Monocyte_CD14:ENSG00000126804 +14,64516821,Monocyte_CD14:ENSG00000126804 +14,63659373,Monocyte_CD14:ENSG00000126821 +14,63752909,Monocyte_CD14:ENSG00000126821 +14,64688197,Monocyte_CD14:ENSG00000126822 +14,64708646,Monocyte_CD14:ENSG00000126822 +14,24333185,Monocyte_CD14:ENSG00000129467 +14,21458670,Monocyte_CD14:ENSG00000129472 +14,31353735,Monocyte_CD14:ENSG00000129480 +14,20360961,Monocyte_CD14:ENSG00000129484 +14,34605191,Monocyte_CD14:ENSG00000129515 +14,34618364,Monocyte_CD14:ENSG00000129515 +14,35125127,Monocyte_CD14:ENSG00000129521 +14,45233404,Monocyte_CD14:ENSG00000129534 +14,45242113,Monocyte_CD14:ENSG00000129534 +14,20710228,Monocyte_CD14:ENSG00000129538 +14,20791414,Monocyte_CD14:ENSG00000129538 +14,20798798,Monocyte_CD14:ENSG00000129538 +14,20802929,Monocyte_CD14:ENSG00000129538 +14,20803414,Monocyte_CD14:ENSG00000129538 +14,24252807,Monocyte_CD14:ENSG00000129559 +14,22577095,Monocyte_CD14:ENSG00000129562 +14,20413368,Monocyte_CD14:ENSG00000129566 +14,20427487,Monocyte_CD14:ENSG00000129566 +14,102770922,Monocyte_CD14:ENSG00000131323 +14,58211339,Monocyte_CD14:ENSG00000131966 +14,54780472,Monocyte_CD14:ENSG00000131979 +14,54855542,Monocyte_CD14:ENSG00000131979 +14,54901362,Monocyte_CD14:ENSG00000131979 +14,54967727,Monocyte_CD14:ENSG00000131979 +14,55137391,Monocyte_CD14:ENSG00000131981 +14,55145855,Monocyte_CD14:ENSG00000131981 +14,75692295,Monocyte_CD14:ENSG00000133935 +14,91114928,Monocyte_CD14:ENSG00000133943 +14,91114996,Monocyte_CD14:ENSG00000133943 +14,73106840,Monocyte_CD14:ENSG00000133961 +14,73152598,Monocyte_CD14:ENSG00000133961 +14,70326287,Monocyte_CD14:ENSG00000133983 +14,70641222,Monocyte_CD14:ENSG00000133985 +14,70650414,Monocyte_CD14:ENSG00000133985 +14,70662413,Monocyte_CD14:ENSG00000133985 +14,70752493,Monocyte_CD14:ENSG00000133985 +14,70618752,Monocyte_CD14:ENSG00000133997 +14,70618752,Monocyte_CD14:ENSG00000134007 +14,20891649,Monocyte_CD14:ENSG00000136315 +14,20955631,Monocyte_CD14:ENSG00000136315 +14,20212152,Monocyte_CD14:ENSG00000136319 +14,20274053,Monocyte_CD14:ENSG00000136319 +14,51250693,Monocyte_CD14:ENSG00000139921 +14,56100165,Monocyte_CD14:ENSG00000139946 +14,56267598,Monocyte_CD14:ENSG00000139946 +14,59561645,Monocyte_CD14:ENSG00000139970 +14,59764472,Monocyte_CD14:ENSG00000139970 +14,59849970,Monocyte_CD14:ENSG00000139970 +14,60757313,Monocyte_CD14:ENSG00000139974 +14,57390444,Monocyte_CD14:ENSG00000139977 +14,81401651,Monocyte_CD14:ENSG00000140022 +14,81418513,Monocyte_CD14:ENSG00000140022 +14,81420470,Monocyte_CD14:ENSG00000140022 +14,81449155,Monocyte_CD14:ENSG00000140022 +14,90027347,Monocyte_CD14:ENSG00000140025 +14,87994904,Monocyte_CD14:ENSG00000140030 +14,88050160,Monocyte_CD14:ENSG00000140030 +14,88060375,Monocyte_CD14:ENSG00000140030 +14,88066890,Monocyte_CD14:ENSG00000140030 +14,73844725,Monocyte_CD14:ENSG00000140043 +14,73852011,Monocyte_CD14:ENSG00000140043 +14,73908998,Monocyte_CD14:ENSG00000140043 +14,75399416,Monocyte_CD14:ENSG00000140044 +14,92461058,Monocyte_CD14:ENSG00000140090 +14,92489041,Monocyte_CD14:ENSG00000140090 +14,92493894,Monocyte_CD14:ENSG00000140090 +14,100296403,Monocyte_CD14:ENSG00000140105 +14,100341818,Monocyte_CD14:ENSG00000140105 +14,100429766,Monocyte_CD14:ENSG00000140105 +14,104796031,Monocyte_CD14:ENSG00000142208 +14,39394598,Monocyte_CD14:ENSG00000150527 +14,34912415,Monocyte_CD14:ENSG00000151327 +14,34962436,Monocyte_CD14:ENSG00000151327 +14,35017663,Monocyte_CD14:ENSG00000151327 +14,35060637,Monocyte_CD14:ENSG00000151327 +14,50666569,Monocyte_CD14:ENSG00000151748 +14,90106140,Monocyte_CD14:ENSG00000152315 +14,22748813,Monocyte_CD14:ENSG00000155463 +14,22772111,Monocyte_CD14:ENSG00000155463 +14,22813490,Monocyte_CD14:ENSG00000155463 +14,22748813,Monocyte_CD14:ENSG00000155465 +14,22781937,Monocyte_CD14:ENSG00000155465 +14,22788919,Monocyte_CD14:ENSG00000155465 +14,22798302,Monocyte_CD14:ENSG00000155465 +14,22813490,Monocyte_CD14:ENSG00000155465 +14,73998582,Monocyte_CD14:ENSG00000156050 +14,75519040,Monocyte_CD14:ENSG00000156127 +14,103896910,Monocyte_CD14:ENSG00000156411 +14,103915165,Monocyte_CD14:ENSG00000156411 +14,104038673,Monocyte_CD14:ENSG00000156414 +14,104044869,Monocyte_CD14:ENSG00000156414 +14,104075712,Monocyte_CD14:ENSG00000156414 +14,22823267,Monocyte_CD14:ENSG00000157227 +14,22832170,Monocyte_CD14:ENSG00000157227 +14,23554911,Monocyte_CD14:ENSG00000157306 +14,23957588,Monocyte_CD14:ENSG00000157326 +14,23975820,Monocyte_CD14:ENSG00000157326 +14,24005193,Monocyte_CD14:ENSG00000157326 +14,24023945,Monocyte_CD14:ENSG00000157326 +14,24038223,Monocyte_CD14:ENSG00000157326 +14,24286983,Monocyte_CD14:ENSG00000157379 +14,24291558,Monocyte_CD14:ENSG00000157379 +14,24294980,Monocyte_CD14:ENSG00000157379 +14,24299761,Monocyte_CD14:ENSG00000157379 +14,24305411,Monocyte_CD14:ENSG00000157379 +14,34319847,Monocyte_CD14:ENSG00000165389 +14,34369437,Monocyte_CD14:ENSG00000165389 +14,34369856,Monocyte_CD14:ENSG00000165389 +14,34372493,Monocyte_CD14:ENSG00000165389 +14,34387918,Monocyte_CD14:ENSG00000165389 +14,34396928,Monocyte_CD14:ENSG00000165389 +14,34714682,Monocyte_CD14:ENSG00000165410 +14,49620639,Monocyte_CD14:ENSG00000165501 +14,49604885,Monocyte_CD14:ENSG00000165502 +14,49620639,Monocyte_CD14:ENSG00000165502 +14,49958999,Monocyte_CD14:ENSG00000165527 +14,77182776,Monocyte_CD14:ENSG00000165548 +14,77183750,Monocyte_CD14:ENSG00000165548 +14,20984161,Monocyte_CD14:ENSG00000165792 +14,20986216,Monocyte_CD14:ENSG00000165792 +14,20989786,Monocyte_CD14:ENSG00000165792 +14,21023373,Monocyte_CD14:ENSG00000165795 +14,21050901,Monocyte_CD14:ENSG00000165795 +14,21071525,Monocyte_CD14:ENSG00000165801 +14,74495530,Monocyte_CD14:ENSG00000165898 +14,74535294,Monocyte_CD14:ENSG00000165898 +14,90829722,Monocyte_CD14:ENSG00000165914 +14,92120818,Monocyte_CD14:ENSG00000165934 +14,92184276,Monocyte_CD14:ENSG00000165934 +14,94100686,Monocyte_CD14:ENSG00000165948 +14,95249967,Monocyte_CD14:ENSG00000165959 +14,95322924,Monocyte_CD14:ENSG00000165959 +14,95353892,Monocyte_CD14:ENSG00000165959 +14,95371028,Monocyte_CD14:ENSG00000165959 +14,103380379,Monocyte_CD14:ENSG00000166165 +14,103520968,Monocyte_CD14:ENSG00000166165 +14,103380379,Monocyte_CD14:ENSG00000166166 +14,104933641,Monocyte_CD14:ENSG00000166428 +14,104942474,Monocyte_CD14:ENSG00000166428 +14,49592902,Monocyte_CD14:ENSG00000168282 +14,25111971,Monocyte_CD14:ENSG00000168952 +14,20881449,Monocyte_CD14:ENSG00000169385 +14,20891649,Monocyte_CD14:ENSG00000169385 +14,20955631,Monocyte_CD14:ENSG00000169385 +14,20881449,Monocyte_CD14:ENSG00000169397 +14,20891649,Monocyte_CD14:ENSG00000169397 +14,20710228,Monocyte_CD14:ENSG00000169413 +14,20715470,Monocyte_CD14:ENSG00000169413 +14,20717784,Monocyte_CD14:ENSG00000169413 +14,20792461,Monocyte_CD14:ENSG00000169413 +14,22823267,Monocyte_CD14:ENSG00000172590 +14,35528711,Monocyte_CD14:ENSG00000174373 +14,95516117,Monocyte_CD14:ENSG00000176438 +14,100365452,Monocyte_CD14:ENSG00000176473 +14,100380499,Monocyte_CD14:ENSG00000176473 +14,55400833,Monocyte_CD14:ENSG00000178974 +14,23113360,Monocyte_CD14:ENSG00000179933 +14,59473099,Monocyte_CD14:ENSG00000181619 +14,59480790,Monocyte_CD14:ENSG00000181619 +14,67191632,Monocyte_CD14:ENSG00000182185 +14,67663788,Monocyte_CD14:ENSG00000182185 +14,99644715,Monocyte_CD14:ENSG00000182218 +14,39098978,Monocyte_CD14:ENSG00000182400 +14,95516117,Monocyte_CD14:ENSG00000182512 +14,95530154,Monocyte_CD14:ENSG00000182512 +14,95544592,Monocyte_CD14:ENSG00000182512 +14,100544872,Monocyte_CD14:ENSG00000183092 +14,99442471,Monocyte_CD14:ENSG00000183576 +14,92120223,Monocyte_CD14:ENSG00000183648 +14,105144024,Monocyte_CD14:ENSG00000183828 +14,105153840,Monocyte_CD14:ENSG00000183828 +14,105161783,Monocyte_CD14:ENSG00000183828 +14,105172704,Monocyte_CD14:ENSG00000183828 +14,105172704,Monocyte_CD14:ENSG00000184916 +14,104761879,Monocyte_CD14:ENSG00000184990 +14,103136520,Monocyte_CD14:ENSG00000185215 +14,68681410,Monocyte_CD14:ENSG00000185650 +14,68719943,Monocyte_CD14:ENSG00000185650 +14,68722246,Monocyte_CD14:ENSG00000185650 +14,68787577,Monocyte_CD14:ENSG00000185650 +14,51860941,Monocyte_CD14:ENSG00000186469 +14,24058463,Monocyte_CD14:ENSG00000186648 +14,74086898,Monocyte_CD14:ENSG00000187097 +14,95625179,Monocyte_CD14:ENSG00000187621 +14,23960400,Monocyte_CD14:ENSG00000187630 +14,23975820,Monocyte_CD14:ENSG00000187630 +14,23982169,Monocyte_CD14:ENSG00000187630 +14,24038223,Monocyte_CD14:ENSG00000187630 +14,100095069,Monocyte_CD14:ENSG00000196405 +14,30990006,Monocyte_CD14:ENSG00000196792 +14,54453514,Monocyte_CD14:ENSG00000197045 +14,101962712,Monocyte_CD14:ENSG00000197102 +14,100220125,Monocyte_CD14:ENSG00000197119 +14,100296403,Monocyte_CD14:ENSG00000197119 +14,100302826,Monocyte_CD14:ENSG00000197119 +14,100312465,Monocyte_CD14:ENSG00000197119 +14,100365452,Monocyte_CD14:ENSG00000197119 +14,94379979,Monocyte_CD14:ENSG00000197249 +14,94380925,Monocyte_CD14:ENSG00000197249 +14,94387628,Monocyte_CD14:ENSG00000197249 +14,94388565,Monocyte_CD14:ENSG00000197249 +14,94388778,Monocyte_CD14:ENSG00000197249 +14,94391233,Monocyte_CD14:ENSG00000197249 +14,94396493,Monocyte_CD14:ENSG00000197249 +14,71146734,Monocyte_CD14:ENSG00000197555 +14,52697146,Monocyte_CD14:ENSG00000197930 +14,67509608,Monocyte_CD14:ENSG00000198133 +14,52728358,Monocyte_CD14:ENSG00000198252 +14,34806498,Monocyte_CD14:ENSG00000198604 +14,90392140,Monocyte_CD14:ENSG00000198668 +14,90399373,Monocyte_CD14:ENSG00000198668 +14,90633326,Monocyte_CD14:ENSG00000198668 +14,103001968,Monocyte_CD14:ENSG00000198752 +14,103058006,Monocyte_CD14:ENSG00000198752 +14,20470092,Monocyte_CD14:ENSG00000198805 +14,77121593,Monocyte_CD14:ENSG00000198894 +14,104688533,Monocyte_CD14:ENSG00000203485 +14,104704871,Monocyte_CD14:ENSG00000203485 +14,74200251,Monocyte_CD14:ENSG00000205659 +14,24400306,Monocyte_CD14:ENSG00000205978 +14,22784939,Monocyte_CD14:ENSG00000211800 +14,105417469,Monocyte_CD14:ENSG00000213145 +14,105472502,Monocyte_CD14:ENSG00000213145 +14,105487689,Monocyte_CD14:ENSG00000213145 +14,70752493,Monocyte_CD14:ENSG00000213463 +14,49584777,Monocyte_CD14:ENSG00000213741 +14,24356327,Monocyte_CD14:ENSG00000213903 +14,20684091,Monocyte_CD14:ENSG00000214274 +14,20685140,Monocyte_CD14:ENSG00000214274 +14,20710228,Monocyte_CD14:ENSG00000214274 +14,50040416,Monocyte_CD14:ENSG00000214900 +14,23933595,Monocyte_CD14:ENSG00000215256 +14,23957588,Monocyte_CD14:ENSG00000215256 +14,23964205,Monocyte_CD14:ENSG00000215256 +14,23277060,Monocyte_CD14:ENSG00000215271 +14,23929171,Monocyte_CD14:ENSG00000235194 +14,103672302,Monocyte_CD14:ENSG00000246451 +14,95526440,Monocyte_CD14:ENSG00000247092 +14,22414027,Monocyte_CD14:ENSG00000251002 +14,24209206,Monocyte_CD14:ENSG00000254505 +14,24210722,Monocyte_CD14:ENSG00000254505 +14,22929786,Monocyte_CD14:ENSG00000257285 +14,64987194,Monocyte_CD14:ENSG00000257365 +14,65013325,Monocyte_CD14:ENSG00000257365 +14,58288856,Monocyte_CD14:ENSG00000257621 +14,58348357,Monocyte_CD14:ENSG00000257621 +14,64902951,Monocyte_CD14:ENSG00000258289 +14,64938214,Monocyte_CD14:ENSG00000258289 +14,73152598,Monocyte_CD14:ENSG00000258376 +14,104770018,Monocyte_CD14:ENSG00000258430 +14,92263563,Monocyte_CD14:ENSG00000258481 +14,30889818,Monocyte_CD14:ENSG00000258525 +14,39440343,Monocyte_CD14:ENSG00000258526 +14,95517638,Monocyte_CD14:ENSG00000258572 +14,58748040,Monocyte_CD14:ENSG00000258583 +14,104816684,Monocyte_CD14:ENSG00000258701 +14,85934899,Monocyte_CD14:ENSG00000258733 +14,34874203,Monocyte_CD14:ENSG00000258738 +14,52697146,Monocyte_CD14:ENSG00000258757 +14,20781965,Monocyte_CD14:ENSG00000258810 +14,20684091,Monocyte_CD14:ENSG00000258818 +14,20685140,Monocyte_CD14:ENSG00000258818 +14,20694558,Monocyte_CD14:ENSG00000258818 +14,20710228,Monocyte_CD14:ENSG00000258818 +14,87950395,Monocyte_CD14:ENSG00000258867 +14,90829722,Monocyte_CD14:ENSG00000258884 +14,95625179,Monocyte_CD14:ENSG00000258927 +14,39253644,Monocyte_CD14:ENSG00000258940 +14,73581318,Monocyte_CD14:ENSG00000258944 +14,100238553,Monocyte_CD14:ENSG00000258982 +14,20338262,Monocyte_CD14:ENSG00000259001 +14,20343420,Monocyte_CD14:ENSG00000259001 +14,20352879,Monocyte_CD14:ENSG00000259001 +14,101121220,Monocyte_CD14:ENSG00000259004 +14,101121813,Monocyte_CD14:ENSG00000259004 +14,73809286,Monocyte_CD14:ENSG00000259065 +14,49481092,Monocyte_CD14:ENSG00000259071 +14,89572477,Monocyte_CD14:ENSG00000259073 +14,24141524,Monocyte_CD14:ENSG00000259321 +14,75288489,Monocyte_CD14:ENSG00000259687 +14,103347550,Monocyte_CD14:ENSG00000259775 +14,62862385,Monocyte_CD14:ENSG00000261242 +14,71146734,Monocyte_CD14:ENSG00000269927 +14,103628983,Monocyte_CD14:ENSG00000269940 +14,103701208,Monocyte_CD14:ENSG00000269958 +14,74491096,Monocyte_CD14:ENSG00000270000 +14,106715277,Monocyte_CD14:ENSG00000270816 +14,101941015,Monocyte_CD14:ENSG00000271780 +14,101948430,Monocyte_CD14:ENSG00000272444 +14,101949258,Monocyte_CD14:ENSG00000272444 +14,74043273,Monocyte_CD14:ENSG00000273711 +14,77019376,Monocyte_CD14:ENSG00000273729 +14,51642357,Monocyte_CD14:ENSG00000273888 +14,90383503,Monocyte_CD14:ENSG00000275198 +14,56118902,Monocyte_CD14:ENSG00000277763 +14,49926002,Monocyte_CD14:ENSG00000278002 +14,73106840,Monocyte_CD14:ENSG00000284930 +14,73152598,Monocyte_CD14:ENSG00000284930 +14,73462865,Monocyte_CD14:ENSG00000284930 +14,81243030,Monocyte_CD14:ENSG00000284959 +14,72693905,Monocyte_CD14:ENSG00000285518 +14,52728358,Monocyte_CD14:ENSG00000285664 +14,39198625,Monocyte_CD14:ENSG00000285830 +14,67646576,Monocyte_CD14:ENSG00000286861 +14,24005193,Monocyte_CD14:ENSG00000286931 +14,24038223,Monocyte_CD14:ENSG00000286931 +14,24296416,Monocyte_CD14:ENSG00000288044 +14,101119143,Monocyte_CD14:ENSG00000288302 +14,101147110,Monocyte_CD14:ENSG00000288302 +17,38901264,Monocyte_CD14:ENSG00000002834 +17,48124822,Monocyte_CD14:ENSG00000002919 +17,3886861,Monocyte_CD14:ENSG00000004660 +17,5438554,Monocyte_CD14:ENSG00000005100 +17,35005158,Monocyte_CD14:ENSG00000005156 +17,47973303,Monocyte_CD14:ENSG00000005243 +17,48037643,Monocyte_CD14:ENSG00000005243 +17,48124822,Monocyte_CD14:ENSG00000005243 +17,58290272,Monocyte_CD14:ENSG00000005381 +17,50106372,Monocyte_CD14:ENSG00000005882 +17,50112554,Monocyte_CD14:ENSG00000005882 +17,45280799,Monocyte_CD14:ENSG00000006062 +17,35679587,Monocyte_CD14:ENSG00000006125 +17,50547162,Monocyte_CD14:ENSG00000006282 +17,14061980,Monocyte_CD14:ENSG00000006695 +17,12986706,Monocyte_CD14:ENSG00000006740 +17,13011167,Monocyte_CD14:ENSG00000006744 +17,13021778,Monocyte_CD14:ENSG00000006744 +17,2563811,Monocyte_CD14:ENSG00000007168 +17,10020397,Monocyte_CD14:ENSG00000007237 +17,10111551,Monocyte_CD14:ENSG00000007237 +17,10114968,Monocyte_CD14:ENSG00000007237 +17,10197988,Monocyte_CD14:ENSG00000007237 +17,63924441,Monocyte_CD14:ENSG00000007312 +17,51084848,Monocyte_CD14:ENSG00000008294 +17,40021691,Monocyte_CD14:ENSG00000008838 +17,51261907,Monocyte_CD14:ENSG00000011260 +17,15981247,Monocyte_CD14:ENSG00000011295 +17,44324340,Monocyte_CD14:ENSG00000013306 +17,5339485,Monocyte_CD14:ENSG00000029725 +17,44321434,Monocyte_CD14:ENSG00000030582 +17,42500074,Monocyte_CD14:ENSG00000033627 +17,78916928,Monocyte_CD14:ENSG00000035862 +17,42436708,Monocyte_CD14:ENSG00000037042 +17,3635402,Monocyte_CD14:ENSG00000040531 +17,7237821,Monocyte_CD14:ENSG00000040633 +17,59803949,Monocyte_CD14:ENSG00000062716 +17,59896559,Monocyte_CD14:ENSG00000062716 +17,9239529,Monocyte_CD14:ENSG00000065320 +17,12121166,Monocyte_CD14:ENSG00000065559 +17,38350398,Monocyte_CD14:ENSG00000067191 +17,43529343,Monocyte_CD14:ENSG00000067596 +17,43007284,Monocyte_CD14:ENSG00000068079 +17,43014462,Monocyte_CD14:ENSG00000068079 +17,59837522,Monocyte_CD14:ENSG00000068097 +17,60095086,Monocyte_CD14:ENSG00000068097 +17,42308587,Monocyte_CD14:ENSG00000068120 +17,59084774,Monocyte_CD14:ENSG00000068489 +17,76714046,Monocyte_CD14:ENSG00000070495 +17,68434373,Monocyte_CD14:ENSG00000070540 +17,68447468,Monocyte_CD14:ENSG00000070540 +17,68456893,Monocyte_CD14:ENSG00000070540 +17,76583249,Monocyte_CD14:ENSG00000070731 +17,76599764,Monocyte_CD14:ENSG00000070731 +17,19274866,Monocyte_CD14:ENSG00000072134 +17,19649163,Monocyte_CD14:ENSG00000072210 +17,17829155,Monocyte_CD14:ENSG00000072310 +17,7221449,Monocyte_CD14:ENSG00000072778 +17,7329882,Monocyte_CD14:ENSG00000072818 +17,75522769,Monocyte_CD14:ENSG00000073350 +17,75567943,Monocyte_CD14:ENSG00000073350 +17,75588744,Monocyte_CD14:ENSG00000073350 +17,40626091,Monocyte_CD14:ENSG00000073584 +17,47041746,Monocyte_CD14:ENSG00000073861 +17,46494702,Monocyte_CD14:ENSG00000073969 +17,46717192,Monocyte_CD14:ENSG00000073969 +17,3824542,Monocyte_CD14:ENSG00000074356 +17,3836236,Monocyte_CD14:ENSG00000074356 +17,3917404,Monocyte_CD14:ENSG00000074370 +17,1645837,Monocyte_CD14:ENSG00000074660 +17,4142807,Monocyte_CD14:ENSG00000074755 +17,28395871,Monocyte_CD14:ENSG00000076351 +17,78112556,Monocyte_CD14:ENSG00000078687 +17,47844540,Monocyte_CD14:ENSG00000082641 +17,19867907,Monocyte_CD14:ENSG00000083290 +17,20043203,Monocyte_CD14:ENSG00000083290 +17,3704077,Monocyte_CD14:ENSG00000083454 +17,3713623,Monocyte_CD14:ENSG00000083457 +17,63817379,Monocyte_CD14:ENSG00000087191 +17,63825011,Monocyte_CD14:ENSG00000087191 +17,18204449,Monocyte_CD14:ENSG00000091536 +17,18209531,Monocyte_CD14:ENSG00000091542 +17,5588140,Monocyte_CD14:ENSG00000091592 +17,4944148,Monocyte_CD14:ENSG00000091640 +17,4968223,Monocyte_CD14:ENSG00000091640 +17,44014960,Monocyte_CD14:ENSG00000091947 +17,34901708,Monocyte_CD14:ENSG00000092871 +17,35041037,Monocyte_CD14:ENSG00000092871 +17,75876867,Monocyte_CD14:ENSG00000092929 +17,76710351,Monocyte_CD14:ENSG00000092931 +17,40937039,Monocyte_CD14:ENSG00000108244 +17,41081544,Monocyte_CD14:ENSG00000108244 +17,29318278,Monocyte_CD14:ENSG00000108256 +17,29590753,Monocyte_CD14:ENSG00000108262 +17,39987976,Monocyte_CD14:ENSG00000108344 +17,40106972,Monocyte_CD14:ENSG00000108349 +17,40126583,Monocyte_CD14:ENSG00000108352 +17,58290272,Monocyte_CD14:ENSG00000108375 +17,58700967,Monocyte_CD14:ENSG00000108384 +17,58520852,Monocyte_CD14:ENSG00000108387 +17,59096484,Monocyte_CD14:ENSG00000108395 +17,3886861,Monocyte_CD14:ENSG00000108405 +17,3917404,Monocyte_CD14:ENSG00000108405 +17,59580695,Monocyte_CD14:ENSG00000108423 +17,47390930,Monocyte_CD14:ENSG00000108424 +17,47968118,Monocyte_CD14:ENSG00000108439 +17,59482738,Monocyte_CD14:ENSG00000108443 +17,18682274,Monocyte_CD14:ENSG00000108448 +17,47974545,Monocyte_CD14:ENSG00000108465 +17,48019787,Monocyte_CD14:ENSG00000108465 +17,48109993,Monocyte_CD14:ENSG00000108468 +17,75667292,Monocyte_CD14:ENSG00000108469 +17,16281934,Monocyte_CD14:ENSG00000108474 +17,75797423,Monocyte_CD14:ENSG00000108479 +17,62048064,Monocyte_CD14:ENSG00000108510 +17,4151294,Monocyte_CD14:ENSG00000108518 +17,4935346,Monocyte_CD14:ENSG00000108523 +17,4944148,Monocyte_CD14:ENSG00000108523 +17,4930090,Monocyte_CD14:ENSG00000108528 +17,17660705,Monocyte_CD14:ENSG00000108551 +17,4902094,Monocyte_CD14:ENSG00000108556 +17,17643922,Monocyte_CD14:ENSG00000108557 +17,5659654,Monocyte_CD14:ENSG00000108559 +17,5245941,Monocyte_CD14:ENSG00000108561 +17,30365556,Monocyte_CD14:ENSG00000108582 +17,30366261,Monocyte_CD14:ENSG00000108582 +17,63753401,Monocyte_CD14:ENSG00000108588 +17,6620978,Monocyte_CD14:ENSG00000108590 +17,6644446,Monocyte_CD14:ENSG00000108590 +17,63835855,Monocyte_CD14:ENSG00000108592 +17,63932949,Monocyte_CD14:ENSG00000108592 +17,19905032,Monocyte_CD14:ENSG00000108599 +17,19933383,Monocyte_CD14:ENSG00000108599 +17,19945137,Monocyte_CD14:ENSG00000108599 +17,63810333,Monocyte_CD14:ENSG00000108604 +17,63824520,Monocyte_CD14:ENSG00000108604 +17,64025498,Monocyte_CD14:ENSG00000108622 +17,64043209,Monocyte_CD14:ENSG00000108622 +17,78174654,Monocyte_CD14:ENSG00000108639 +17,31874931,Monocyte_CD14:ENSG00000108651 +17,64506317,Monocyte_CD14:ENSG00000108654 +17,32276299,Monocyte_CD14:ENSG00000108666 +17,78685744,Monocyte_CD14:ENSG00000108669 +17,78979095,Monocyte_CD14:ENSG00000108679 +17,34378660,Monocyte_CD14:ENSG00000108702 +17,35565049,Monocyte_CD14:ENSG00000108733 +17,42112643,Monocyte_CD14:ENSG00000108771 +17,42148108,Monocyte_CD14:ENSG00000108774 +17,42537437,Monocyte_CD14:ENSG00000108784 +17,49218979,Monocyte_CD14:ENSG00000108798 +17,42604012,Monocyte_CD14:ENSG00000108799 +17,50151620,Monocyte_CD14:ENSG00000108823 +17,50373184,Monocyte_CD14:ENSG00000108826 +17,43020464,Monocyte_CD14:ENSG00000108828 +17,50547162,Monocyte_CD14:ENSG00000108846 +17,50634726,Monocyte_CD14:ENSG00000108846 +17,50640983,Monocyte_CD14:ENSG00000108846 +17,43773579,Monocyte_CD14:ENSG00000108861 +17,55738235,Monocyte_CD14:ENSG00000108924 +17,68297719,Monocyte_CD14:ENSG00000108932 +17,68312789,Monocyte_CD14:ENSG00000108932 +17,68503542,Monocyte_CD14:ENSG00000108946 +17,68537514,Monocyte_CD14:ENSG00000108946 +17,68580007,Monocyte_CD14:ENSG00000108950 +17,1425087,Monocyte_CD14:ENSG00000108953 +17,8289059,Monocyte_CD14:ENSG00000108961 +17,69496953,Monocyte_CD14:ENSG00000108984 +17,27242437,Monocyte_CD14:ENSG00000109046 +17,27294442,Monocyte_CD14:ENSG00000109046 +17,27315289,Monocyte_CD14:ENSG00000109046 +17,27521170,Monocyte_CD14:ENSG00000109046 +17,9911106,Monocyte_CD14:ENSG00000109047 +17,74771296,Monocyte_CD14:ENSG00000109062 +17,10699650,Monocyte_CD14:ENSG00000109063 +17,74789890,Monocyte_CD14:ENSG00000109065 +17,28301721,Monocyte_CD14:ENSG00000109084 +17,28319037,Monocyte_CD14:ENSG00000109084 +17,15256123,Monocyte_CD14:ENSG00000109099 +17,15428641,Monocyte_CD14:ENSG00000109099 +17,15502364,Monocyte_CD14:ENSG00000109099 +17,15572241,Monocyte_CD14:ENSG00000109099 +17,28716541,Monocyte_CD14:ENSG00000109113 +17,28861660,Monocyte_CD14:ENSG00000109113 +17,65065011,Monocyte_CD14:ENSG00000120063 +17,45582609,Monocyte_CD14:ENSG00000120071 +17,46044213,Monocyte_CD14:ENSG00000120071 +17,46769315,Monocyte_CD14:ENSG00000120071 +17,46775246,Monocyte_CD14:ENSG00000120071 +17,57084363,Monocyte_CD14:ENSG00000121057 +17,56969988,Monocyte_CD14:ENSG00000121064 +17,56985857,Monocyte_CD14:ENSG00000121064 +17,57005471,Monocyte_CD14:ENSG00000121064 +17,49675170,Monocyte_CD14:ENSG00000121067 +17,70102283,Monocyte_CD14:ENSG00000123700 +17,70163685,Monocyte_CD14:ENSG00000123700 +17,70523913,Monocyte_CD14:ENSG00000123700 +17,21016191,Monocyte_CD14:ENSG00000124422 +17,21051298,Monocyte_CD14:ENSG00000124422 +17,21055409,Monocyte_CD14:ENSG00000124422 +17,14623133,Monocyte_CD14:ENSG00000125430 +17,75261905,Monocyte_CD14:ENSG00000125445 +17,75313274,Monocyte_CD14:ENSG00000125454 +17,75271437,Monocyte_CD14:ENSG00000125457 +17,75275957,Monocyte_CD14:ENSG00000125457 +17,75131709,Monocyte_CD14:ENSG00000125458 +17,75162068,Monocyte_CD14:ENSG00000125458 +17,39312918,Monocyte_CD14:ENSG00000125686 +17,38847028,Monocyte_CD14:ENSG00000125691 +17,38853761,Monocyte_CD14:ENSG00000125691 +17,40096407,Monocyte_CD14:ENSG00000126351 +17,40096407,Monocyte_CD14:ENSG00000126368 +17,42310778,Monocyte_CD14:ENSG00000126561 +17,32140497,Monocyte_CD14:ENSG00000126858 +17,31324211,Monocyte_CD14:ENSG00000126860 +17,19274866,Monocyte_CD14:ENSG00000128482 +17,20046288,Monocyte_CD14:ENSG00000128487 +17,4802814,Monocyte_CD14:ENSG00000129219 +17,7574159,Monocyte_CD14:ENSG00000129226 +17,7587492,Monocyte_CD14:ENSG00000129226 +17,7602483,Monocyte_CD14:ENSG00000129226 +17,6620978,Monocyte_CD14:ENSG00000129235 +17,7648632,Monocyte_CD14:ENSG00000129244 +17,7566274,Monocyte_CD14:ENSG00000129255 +17,77100593,Monocyte_CD14:ENSG00000129657 +17,76492873,Monocyte_CD14:ENSG00000129667 +17,31494594,Monocyte_CD14:ENSG00000131242 +17,31512102,Monocyte_CD14:ENSG00000131242 +17,43219993,Monocyte_CD14:ENSG00000131469 +17,42588995,Monocyte_CD14:ENSG00000131470 +17,41889746,Monocyte_CD14:ENSG00000131473 +17,39709752,Monocyte_CD14:ENSG00000131748 +17,40151991,Monocyte_CD14:ENSG00000131759 +17,40272016,Monocyte_CD14:ENSG00000131759 +17,18223604,Monocyte_CD14:ENSG00000131899 +17,18244365,Monocyte_CD14:ENSG00000131899 +17,35041037,Monocyte_CD14:ENSG00000132141 +17,2798867,Monocyte_CD14:ENSG00000132359 +17,3028286,Monocyte_CD14:ENSG00000132359 +17,1515689,Monocyte_CD14:ENSG00000132376 +17,1812802,Monocyte_CD14:ENSG00000132383 +17,1764954,Monocyte_CD14:ENSG00000132386 +17,1768881,Monocyte_CD14:ENSG00000132386 +17,3950686,Monocyte_CD14:ENSG00000132388 +17,75855372,Monocyte_CD14:ENSG00000132471 +17,75779744,Monocyte_CD14:ENSG00000132475 +17,7303462,Monocyte_CD14:ENSG00000132507 +17,7305745,Monocyte_CD14:ENSG00000132507 +17,7306067,Monocyte_CD14:ENSG00000132507 +17,7835897,Monocyte_CD14:ENSG00000132510 +17,7839283,Monocyte_CD14:ENSG00000132510 +17,7078034,Monocyte_CD14:ENSG00000132514 +17,7115217,Monocyte_CD14:ENSG00000132514 +17,8019449,Monocyte_CD14:ENSG00000132518 +17,6759001,Monocyte_CD14:ENSG00000132530 +17,6759629,Monocyte_CD14:ENSG00000132530 +17,28731278,Monocyte_CD14:ENSG00000132589 +17,28546006,Monocyte_CD14:ENSG00000132591 +17,28861278,Monocyte_CD14:ENSG00000132591 +17,17643922,Monocyte_CD14:ENSG00000133027 +17,10699650,Monocyte_CD14:ENSG00000133028 +17,17009366,Monocyte_CD14:ENSG00000133030 +17,73221757,Monocyte_CD14:ENSG00000133193 +17,72739086,Monocyte_CD14:ENSG00000133195 +17,73059609,Monocyte_CD14:ENSG00000133195 +17,73092704,Monocyte_CD14:ENSG00000133195 +17,48847874,Monocyte_CD14:ENSG00000136436 +17,50508193,Monocyte_CD14:ENSG00000136449 +17,63662852,Monocyte_CD14:ENSG00000136490 +17,49846905,Monocyte_CD14:ENSG00000136504 +17,16267450,Monocyte_CD14:ENSG00000141027 +17,17264850,Monocyte_CD14:ENSG00000141030 +17,17288209,Monocyte_CD14:ENSG00000141030 +17,27521170,Monocyte_CD14:ENSG00000141068 +17,18869840,Monocyte_CD14:ENSG00000141127 +17,55742364,Monocyte_CD14:ENSG00000141179 +17,73221757,Monocyte_CD14:ENSG00000141219 +17,50920667,Monocyte_CD14:ENSG00000141232 +17,512427,Monocyte_CD14:ENSG00000141252 +17,618825,Monocyte_CD14:ENSG00000141252 +17,645764,Monocyte_CD14:ENSG00000141252 +17,714860,Monocyte_CD14:ENSG00000141252 +17,2337584,Monocyte_CD14:ENSG00000141258 +17,47555347,Monocyte_CD14:ENSG00000141279 +17,47844540,Monocyte_CD14:ENSG00000141294 +17,47836481,Monocyte_CD14:ENSG00000141295 +17,47844540,Monocyte_CD14:ENSG00000141295 +17,47890061,Monocyte_CD14:ENSG00000141295 +17,29702705,Monocyte_CD14:ENSG00000141298 +17,68312789,Monocyte_CD14:ENSG00000141337 +17,68416276,Monocyte_CD14:ENSG00000141337 +17,44050202,Monocyte_CD14:ENSG00000141349 +17,60677901,Monocyte_CD14:ENSG00000141376 +17,4710335,Monocyte_CD14:ENSG00000141480 +17,4712987,Monocyte_CD14:ENSG00000141480 +17,4734715,Monocyte_CD14:ENSG00000141497 +17,4897868,Monocyte_CD14:ENSG00000141503 +17,7626953,Monocyte_CD14:ENSG00000141504 +17,7628647,Monocyte_CD14:ENSG00000141504 +17,7160348,Monocyte_CD14:ENSG00000141505 +17,7167074,Monocyte_CD14:ENSG00000141505 +17,7168058,Monocyte_CD14:ENSG00000141505 +17,7174323,Monocyte_CD14:ENSG00000141505 +17,7174501,Monocyte_CD14:ENSG00000141505 +17,8942091,Monocyte_CD14:ENSG00000141506 +17,7668434,Monocyte_CD14:ENSG00000141510 +17,80038562,Monocyte_CD14:ENSG00000141519 +17,78127382,Monocyte_CD14:ENSG00000141524 +17,78131350,Monocyte_CD14:ENSG00000141524 +17,82232895,Monocyte_CD14:ENSG00000141526 +17,74282659,Monocyte_CD14:ENSG00000141540 +17,80138078,Monocyte_CD14:ENSG00000141543 +17,82281621,Monocyte_CD14:ENSG00000141551 +17,82935073,Monocyte_CD14:ENSG00000141556 +17,82719531,Monocyte_CD14:ENSG00000141560 +17,82721579,Monocyte_CD14:ENSG00000141560 +17,82472928,Monocyte_CD14:ENSG00000141562 +17,82624562,Monocyte_CD14:ENSG00000141568 +17,75898723,Monocyte_CD14:ENSG00000141569 +17,75923440,Monocyte_CD14:ENSG00000141569 +17,82300876,Monocyte_CD14:ENSG00000141574 +17,82337056,Monocyte_CD14:ENSG00000141574 +17,82343254,Monocyte_CD14:ENSG00000141574 +17,82391749,Monocyte_CD14:ENSG00000141574 +17,82627997,Monocyte_CD14:ENSG00000141580 +17,82649954,Monocyte_CD14:ENSG00000141580 +17,41832349,Monocyte_CD14:ENSG00000141698 +17,41834813,Monocyte_CD14:ENSG00000141698 +17,42604012,Monocyte_CD14:ENSG00000141699 +17,19524975,Monocyte_CD14:ENSG00000142494 +17,19649163,Monocyte_CD14:ENSG00000142494 +17,19687833,Monocyte_CD14:ENSG00000142494 +17,56833217,Monocyte_CD14:ENSG00000153933 +17,56867160,Monocyte_CD14:ENSG00000153933 +17,57258794,Monocyte_CD14:ENSG00000153944 +17,59264097,Monocyte_CD14:ENSG00000153982 +17,67370978,Monocyte_CD14:ENSG00000154217 +17,66332695,Monocyte_CD14:ENSG00000154229 +17,66431539,Monocyte_CD14:ENSG00000154229 +17,66462084,Monocyte_CD14:ENSG00000154229 +17,66477154,Monocyte_CD14:ENSG00000154229 +17,69214371,Monocyte_CD14:ENSG00000154263 +17,69249803,Monocyte_CD14:ENSG00000154265 +17,35480613,Monocyte_CD14:ENSG00000154760 +17,17228555,Monocyte_CD14:ENSG00000154803 +17,50702399,Monocyte_CD14:ENSG00000154945 +17,81284987,Monocyte_CD14:ENSG00000157637 +17,81294933,Monocyte_CD14:ENSG00000157637 +17,47833699,Monocyte_CD14:ENSG00000159111 +17,48794984,Monocyte_CD14:ENSG00000159199 +17,48889675,Monocyte_CD14:ENSG00000159199 +17,48902090,Monocyte_CD14:ENSG00000159199 +17,48925859,Monocyte_CD14:ENSG00000159202 +17,45586089,Monocyte_CD14:ENSG00000159314 +17,1054311,Monocyte_CD14:ENSG00000159842 +17,28728950,Monocyte_CD14:ENSG00000160602 +17,39692424,Monocyte_CD14:ENSG00000161395 +17,74870636,Monocyte_CD14:ENSG00000161509 +17,74872953,Monocyte_CD14:ENSG00000161513 +17,75959606,Monocyte_CD14:ENSG00000161533 +17,75969269,Monocyte_CD14:ENSG00000161533 +17,76730689,Monocyte_CD14:ENSG00000161547 +17,41832349,Monocyte_CD14:ENSG00000161594 +17,43773321,Monocyte_CD14:ENSG00000161647 +17,4737270,Monocyte_CD14:ENSG00000161920 +17,4734403,Monocyte_CD14:ENSG00000161921 +17,4766887,Monocyte_CD14:ENSG00000161921 +17,5213084,Monocyte_CD14:ENSG00000161929 +17,5218787,Monocyte_CD14:ENSG00000161929 +17,5221167,Monocyte_CD14:ENSG00000161929 +17,5252940,Monocyte_CD14:ENSG00000161929 +17,7112392,Monocyte_CD14:ENSG00000161944 +17,7114686,Monocyte_CD14:ENSG00000161944 +17,7115124,Monocyte_CD14:ENSG00000161944 +17,7119834,Monocyte_CD14:ENSG00000161944 +17,7126002,Monocyte_CD14:ENSG00000161944 +17,7558933,Monocyte_CD14:ENSG00000161955 +17,7559652,Monocyte_CD14:ENSG00000161955 +17,7566274,Monocyte_CD14:ENSG00000161955 +17,7566274,Monocyte_CD14:ENSG00000161956 +17,7627934,Monocyte_CD14:ENSG00000161956 +17,7436175,Monocyte_CD14:ENSG00000161958 +17,7550188,Monocyte_CD14:ENSG00000161960 +17,76562364,Monocyte_CD14:ENSG00000163597 +17,76564405,Monocyte_CD14:ENSG00000163597 +17,54958133,Monocyte_CD14:ENSG00000166260 +17,54952329,Monocyte_CD14:ENSG00000166263 +17,8414837,Monocyte_CD14:ENSG00000166579 +17,8504167,Monocyte_CD14:ENSG00000166579 +17,16281934,Monocyte_CD14:ENSG00000166582 +17,73221757,Monocyte_CD14:ENSG00000166685 +17,35195097,Monocyte_CD14:ENSG00000166750 +17,35228375,Monocyte_CD14:ENSG00000166750 +17,35244290,Monocyte_CD14:ENSG00000166750 +17,35251077,Monocyte_CD14:ENSG00000166750 +17,35252858,Monocyte_CD14:ENSG00000166750 +17,49218979,Monocyte_CD14:ENSG00000167083 +17,50439155,Monocyte_CD14:ENSG00000167107 +17,47892239,Monocyte_CD14:ENSG00000167182 +17,1425087,Monocyte_CD14:ENSG00000167193 +17,79074594,Monocyte_CD14:ENSG00000167280 +17,79082873,Monocyte_CD14:ENSG00000167280 +17,79085031,Monocyte_CD14:ENSG00000167280 +17,80034378,Monocyte_CD14:ENSG00000167291 +17,82727712,Monocyte_CD14:ENSG00000167363 +17,59209673,Monocyte_CD14:ENSG00000167447 +17,28716541,Monocyte_CD14:ENSG00000167525 +17,29574519,Monocyte_CD14:ENSG00000167543 +17,756456,Monocyte_CD14:ENSG00000167699 +17,1575203,Monocyte_CD14:ENSG00000167703 +17,1587679,Monocyte_CD14:ENSG00000167703 +17,1615812,Monocyte_CD14:ENSG00000167703 +17,1626254,Monocyte_CD14:ENSG00000167705 +17,1645837,Monocyte_CD14:ENSG00000167705 +17,1734597,Monocyte_CD14:ENSG00000167711 +17,1735297,Monocyte_CD14:ENSG00000167711 +17,1764954,Monocyte_CD14:ENSG00000167711 +17,1728046,Monocyte_CD14:ENSG00000167716 +17,2304032,Monocyte_CD14:ENSG00000167720 +17,5465036,Monocyte_CD14:ENSG00000167842 +17,74535418,Monocyte_CD14:ENSG00000167850 +17,74542004,Monocyte_CD14:ENSG00000167850 +17,74542929,Monocyte_CD14:ENSG00000167850 +17,74558757,Monocyte_CD14:ENSG00000167850 +17,74573573,Monocyte_CD14:ENSG00000167850 +17,74457191,Monocyte_CD14:ENSG00000167851 +17,74466605,Monocyte_CD14:ENSG00000167851 +17,75044355,Monocyte_CD14:ENSG00000167863 +17,75051388,Monocyte_CD14:ENSG00000167863 +17,7839283,Monocyte_CD14:ENSG00000167874 +17,76072148,Monocyte_CD14:ENSG00000167881 +17,78123849,Monocyte_CD14:ENSG00000167895 +17,78127382,Monocyte_CD14:ENSG00000167895 +17,78131350,Monocyte_CD14:ENSG00000167895 +17,78187152,Monocyte_CD14:ENSG00000167900 +17,40803371,Monocyte_CD14:ENSG00000167920 +17,40842259,Monocyte_CD14:ENSG00000167920 +17,42010349,Monocyte_CD14:ENSG00000168259 +17,45170590,Monocyte_CD14:ENSG00000168517 +17,42429036,Monocyte_CD14:ENSG00000168610 +17,29568510,Monocyte_CD14:ENSG00000168792 +17,27631065,Monocyte_CD14:ENSG00000168961 +17,82419814,Monocyte_CD14:ENSG00000169660 +17,82037444,Monocyte_CD14:ENSG00000169683 +17,82022880,Monocyte_CD14:ENSG00000169689 +17,81968503,Monocyte_CD14:ENSG00000169696 +17,82229054,Monocyte_CD14:ENSG00000169710 +17,82037444,Monocyte_CD14:ENSG00000169738 +17,7857386,Monocyte_CD14:ENSG00000170004 +17,7961436,Monocyte_CD14:ENSG00000170049 +17,17552742,Monocyte_CD14:ENSG00000170160 +17,17612709,Monocyte_CD14:ENSG00000170160 +17,7456791,Monocyte_CD14:ENSG00000170175 +17,7473092,Monocyte_CD14:ENSG00000170175 +17,75084866,Monocyte_CD14:ENSG00000170190 +17,10691012,Monocyte_CD14:ENSG00000170222 +17,7258292,Monocyte_CD14:ENSG00000170291 +17,9395326,Monocyte_CD14:ENSG00000170310 +17,9437887,Monocyte_CD14:ENSG00000170310 +17,74443561,Monocyte_CD14:ENSG00000170412 +17,60269238,Monocyte_CD14:ENSG00000170832 +17,62877363,Monocyte_CD14:ENSG00000170921 +17,63060620,Monocyte_CD14:ENSG00000170921 +17,80090265,Monocyte_CD14:ENSG00000171298 +17,80090349,Monocyte_CD14:ENSG00000171298 +17,80101663,Monocyte_CD14:ENSG00000171298 +17,80119422,Monocyte_CD14:ENSG00000171298 +17,78992110,Monocyte_CD14:ENSG00000171302 +17,78992980,Monocyte_CD14:ENSG00000171302 +17,18794008,Monocyte_CD14:ENSG00000171928 +17,17941504,Monocyte_CD14:ENSG00000171953 +17,18038607,Monocyte_CD14:ENSG00000171953 +17,18041035,Monocyte_CD14:ENSG00000171953 +17,35428347,Monocyte_CD14:ENSG00000172123 +17,35433147,Monocyte_CD14:ENSG00000172123 +17,35433192,Monocyte_CD14:ENSG00000172123 +17,35433247,Monocyte_CD14:ENSG00000172123 +17,35487127,Monocyte_CD14:ENSG00000172123 +17,30831497,Monocyte_CD14:ENSG00000172171 +17,31844088,Monocyte_CD14:ENSG00000172301 +17,35244290,Monocyte_CD14:ENSG00000172716 +17,35406758,Monocyte_CD14:ENSG00000172716 +17,35487127,Monocyte_CD14:ENSG00000172716 +17,74682723,Monocyte_CD14:ENSG00000172794 +17,74695789,Monocyte_CD14:ENSG00000172794 +17,74203708,Monocyte_CD14:ENSG00000172809 +17,45054254,Monocyte_CD14:ENSG00000172992 +17,41966789,Monocyte_CD14:ENSG00000173786 +17,41777076,Monocyte_CD14:ENSG00000173801 +17,41788404,Monocyte_CD14:ENSG00000173801 +17,42185329,Monocyte_CD14:ENSG00000173801 +17,48521673,Monocyte_CD14:ENSG00000173917 +17,48544333,Monocyte_CD14:ENSG00000173917 +17,48565025,Monocyte_CD14:ENSG00000173917 +17,1549204,Monocyte_CD14:ENSG00000174238 +17,7505252,Monocyte_CD14:ENSG00000174282 +17,16439519,Monocyte_CD14:ENSG00000175061 +17,17829155,Monocyte_CD14:ENSG00000175662 +17,83043976,Monocyte_CD14:ENSG00000175711 +17,7258292,Monocyte_CD14:ENSG00000175826 +17,81005490,Monocyte_CD14:ENSG00000175866 +17,81032233,Monocyte_CD14:ENSG00000175866 +17,81051409,Monocyte_CD14:ENSG00000175866 +17,43407654,Monocyte_CD14:ENSG00000175906 +17,81005490,Monocyte_CD14:ENSG00000176108 +17,82229054,Monocyte_CD14:ENSG00000176155 +17,76381613,Monocyte_CD14:ENSG00000176170 +17,76445075,Monocyte_CD14:ENSG00000176170 +17,30751280,Monocyte_CD14:ENSG00000176390 +17,32740232,Monocyte_CD14:ENSG00000176658 +17,32797244,Monocyte_CD14:ENSG00000176658 +17,46494702,Monocyte_CD14:ENSG00000176681 +17,46717192,Monocyte_CD14:ENSG00000176681 +17,32492871,Monocyte_CD14:ENSG00000176749 +17,83059108,Monocyte_CD14:ENSG00000176845 +17,83114876,Monocyte_CD14:ENSG00000176845 +17,29766095,Monocyte_CD14:ENSG00000176927 +17,18296140,Monocyte_CD14:ENSG00000176974 +17,18363534,Monocyte_CD14:ENSG00000176974 +17,18363661,Monocyte_CD14:ENSG00000176974 +17,18363661,Monocyte_CD14:ENSG00000176994 +17,18318485,Monocyte_CD14:ENSG00000177302 +17,1002146,Monocyte_CD14:ENSG00000177370 +17,75313274,Monocyte_CD14:ENSG00000177885 +17,64104630,Monocyte_CD14:ENSG00000178607 +17,74518170,Monocyte_CD14:ENSG00000178789 +17,74528785,Monocyte_CD14:ENSG00000178789 +17,74603279,Monocyte_CD14:ENSG00000178789 +17,47310917,Monocyte_CD14:ENSG00000178852 +17,47324391,Monocyte_CD14:ENSG00000178852 +17,8247086,Monocyte_CD14:ENSG00000178921 +17,82450939,Monocyte_CD14:ENSG00000178927 +17,82472928,Monocyte_CD14:ENSG00000178927 +17,8247086,Monocyte_CD14:ENSG00000178971 +17,8191435,Monocyte_CD14:ENSG00000178977 +17,8222223,Monocyte_CD14:ENSG00000178977 +17,8247086,Monocyte_CD14:ENSG00000178999 +17,8163115,Monocyte_CD14:ENSG00000179029 +17,8173564,Monocyte_CD14:ENSG00000179029 +17,8202380,Monocyte_CD14:ENSG00000179029 +17,7994765,Monocyte_CD14:ENSG00000179593 +17,8016898,Monocyte_CD14:ENSG00000179593 +17,75051388,Monocyte_CD14:ENSG00000180901 +17,216413,Monocyte_CD14:ENSG00000181031 +17,223833,Monocyte_CD14:ENSG00000181031 +17,253441,Monocyte_CD14:ENSG00000181031 +17,7536936,Monocyte_CD14:ENSG00000181222 +17,82411454,Monocyte_CD14:ENSG00000181396 +17,82419814,Monocyte_CD14:ENSG00000181396 +17,81148802,Monocyte_CD14:ENSG00000181409 +17,30940309,Monocyte_CD14:ENSG00000181481 +17,80207505,Monocyte_CD14:ENSG00000181523 +17,80207573,Monocyte_CD14:ENSG00000181523 +17,7258292,Monocyte_CD14:ENSG00000181885 +17,7263503,Monocyte_CD14:ENSG00000181885 +17,7280727,Monocyte_CD14:ENSG00000181885 +17,75516572,Monocyte_CD14:ENSG00000182173 +17,7835897,Monocyte_CD14:ENSG00000182224 +17,81563941,Monocyte_CD14:ENSG00000182446 +17,76710351,Monocyte_CD14:ENSG00000182534 +17,76799434,Monocyte_CD14:ENSG00000182534 +17,4425967,Monocyte_CD14:ENSG00000182557 +17,4445568,Monocyte_CD14:ENSG00000182557 +17,58499916,Monocyte_CD14:ENSG00000182628 +17,48521673,Monocyte_CD14:ENSG00000182742 +17,4786277,Monocyte_CD14:ENSG00000182853 +17,4789264,Monocyte_CD14:ENSG00000182853 +17,7835897,Monocyte_CD14:ENSG00000183011 +17,7839283,Monocyte_CD14:ENSG00000183011 +17,7848460,Monocyte_CD14:ENSG00000183011 +17,7849205,Monocyte_CD14:ENSG00000183011 +17,78172776,Monocyte_CD14:ENSG00000183077 +17,518761,Monocyte_CD14:ENSG00000183688 +17,527520,Monocyte_CD14:ENSG00000183688 +17,534378,Monocyte_CD14:ENSG00000183688 +17,535422,Monocyte_CD14:ENSG00000183688 +17,582386,Monocyte_CD14:ENSG00000183688 +17,645764,Monocyte_CD14:ENSG00000183688 +17,700694,Monocyte_CD14:ENSG00000183688 +17,81506717,Monocyte_CD14:ENSG00000184009 +17,78329307,Monocyte_CD14:ENSG00000184557 +17,8375504,Monocyte_CD14:ENSG00000184619 +17,77451504,Monocyte_CD14:ENSG00000184640 +17,77457531,Monocyte_CD14:ENSG00000184640 +17,77458461,Monocyte_CD14:ENSG00000184640 +17,45226241,Monocyte_CD14:ENSG00000184922 +17,45236037,Monocyte_CD14:ENSG00000184922 +17,81239704,Monocyte_CD14:ENSG00000185168 +17,81307769,Monocyte_CD14:ENSG00000185168 +17,81310814,Monocyte_CD14:ENSG00000185168 +17,76258002,Monocyte_CD14:ENSG00000185262 +17,81667003,Monocyte_CD14:ENSG00000185298 +17,81919357,Monocyte_CD14:ENSG00000185332 +17,81544109,Monocyte_CD14:ENSG00000185504 +17,1711518,Monocyte_CD14:ENSG00000185561 +17,80967752,Monocyte_CD14:ENSG00000185624 +17,46044213,Monocyte_CD14:ENSG00000185829 +17,46247949,Monocyte_CD14:ENSG00000185829 +17,46494702,Monocyte_CD14:ENSG00000185829 +17,46717192,Monocyte_CD14:ENSG00000185829 +17,46742229,Monocyte_CD14:ENSG00000185829 +17,46775246,Monocyte_CD14:ENSG00000185829 +17,31280210,Monocyte_CD14:ENSG00000185862 +17,74682723,Monocyte_CD14:ENSG00000186074 +17,74695789,Monocyte_CD14:ENSG00000186074 +17,74716223,Monocyte_CD14:ENSG00000186074 +17,40842259,Monocyte_CD14:ENSG00000186395 +17,40851042,Monocyte_CD14:ENSG00000186395 +17,74567599,Monocyte_CD14:ENSG00000186407 +17,74599686,Monocyte_CD14:ENSG00000186407 +17,74603279,Monocyte_CD14:ENSG00000186407 +17,74615050,Monocyte_CD14:ENSG00000186407 +17,74635093,Monocyte_CD14:ENSG00000186407 +17,74647377,Monocyte_CD14:ENSG00000186407 +17,1779197,Monocyte_CD14:ENSG00000186532 +17,1728046,Monocyte_CD14:ENSG00000186594 +17,45360952,Monocyte_CD14:ENSG00000186834 +17,15687236,Monocyte_CD14:ENSG00000187607 +17,410351,Monocyte_CD14:ENSG00000187624 +17,16464806,Monocyte_CD14:ENSG00000187688 +17,10730615,Monocyte_CD14:ENSG00000187824 +17,43179902,Monocyte_CD14:ENSG00000188554 +17,75132206,Monocyte_CD14:ENSG00000188612 +17,75844162,Monocyte_CD14:ENSG00000188878 +17,40096407,Monocyte_CD14:ENSG00000188895 +17,40122783,Monocyte_CD14:ENSG00000188895 +17,40130817,Monocyte_CD14:ENSG00000188895 +17,59960052,Monocyte_CD14:ENSG00000189050 +17,75191024,Monocyte_CD14:ENSG00000189159 +17,29126727,Monocyte_CD14:ENSG00000196535 +17,68223277,Monocyte_CD14:ENSG00000196704 +17,31118938,Monocyte_CD14:ENSG00000196712 +17,31125828,Monocyte_CD14:ENSG00000196712 +17,67401854,Monocyte_CD14:ENSG00000197170 +17,3611304,Monocyte_CD14:ENSG00000197417 +17,16616111,Monocyte_CD14:ENSG00000197566 +17,63817379,Monocyte_CD14:ENSG00000198231 +17,28716541,Monocyte_CD14:ENSG00000198242 +17,67255754,Monocyte_CD14:ENSG00000198265 +17,43148782,Monocyte_CD14:ENSG00000198496 +17,49268485,Monocyte_CD14:ENSG00000198740 +17,49362261,Monocyte_CD14:ENSG00000198740 +17,49368588,Monocyte_CD14:ENSG00000198740 +17,35007093,Monocyte_CD14:ENSG00000198783 +17,63772941,Monocyte_CD14:ENSG00000198909 +17,6620978,Monocyte_CD14:ENSG00000198920 +17,47692185,Monocyte_CD14:ENSG00000198933 +17,81667003,Monocyte_CD14:ENSG00000204237 +17,78123849,Monocyte_CD14:ENSG00000204282 +17,75902107,Monocyte_CD14:ENSG00000204316 +17,75588744,Monocyte_CD14:ENSG00000204323 +17,49846905,Monocyte_CD14:ENSG00000204584 +17,17305651,Monocyte_CD14:ENSG00000205309 +17,7407154,Monocyte_CD14:ENSG00000205544 +17,4902094,Monocyte_CD14:ENSG00000205710 +17,21361139,Monocyte_CD14:ENSG00000212719 +17,21537911,Monocyte_CD14:ENSG00000212719 +17,21543169,Monocyte_CD14:ENSG00000212719 +17,58350191,Monocyte_CD14:ENSG00000213246 +17,3664718,Monocyte_CD14:ENSG00000213977 +17,81682485,Monocyte_CD14:ENSG00000214087 +17,56843445,Monocyte_CD14:ENSG00000214226 +17,45528659,Monocyte_CD14:ENSG00000214401 +17,45582609,Monocyte_CD14:ENSG00000214401 +17,45849092,Monocyte_CD14:ENSG00000214401 +17,46775246,Monocyte_CD14:ENSG00000214401 +17,31797389,Monocyte_CD14:ENSG00000214708 +17,30639374,Monocyte_CD14:ENSG00000214719 +17,30809729,Monocyte_CD14:ENSG00000214719 +17,15979608,Monocyte_CD14:ENSG00000214941 +17,7012114,Monocyte_CD14:ENSG00000215067 +17,7012114,Monocyte_CD14:ENSG00000219200 +17,7017569,Monocyte_CD14:ENSG00000219200 +17,8163115,Monocyte_CD14:ENSG00000220205 +17,8245212,Monocyte_CD14:ENSG00000220205 +17,3411540,Monocyte_CD14:ENSG00000221882 +17,15684261,Monocyte_CD14:ENSG00000221926 +17,29078026,Monocyte_CD14:ENSG00000221995 +17,45125011,Monocyte_CD14:ENSG00000224505 +17,59096484,Monocyte_CD14:ENSG00000224738 +17,81239341,Monocyte_CD14:ENSG00000224877 +17,81239762,Monocyte_CD14:ENSG00000224877 +17,45256333,Monocyte_CD14:ENSG00000225190 +17,81005490,Monocyte_CD14:ENSG00000226137 +17,81032120,Monocyte_CD14:ENSG00000226137 +17,81032233,Monocyte_CD14:ENSG00000226137 +17,17775534,Monocyte_CD14:ENSG00000226746 +17,45582609,Monocyte_CD14:ENSG00000228696 +17,46548562,Monocyte_CD14:ENSG00000228696 +17,46676277,Monocyte_CD14:ENSG00000228696 +17,46775246,Monocyte_CD14:ENSG00000228696 +17,48521673,Monocyte_CD14:ENSG00000230148 +17,48544333,Monocyte_CD14:ENSG00000230148 +17,46044213,Monocyte_CD14:ENSG00000232300 +17,46247949,Monocyte_CD14:ENSG00000232300 +17,46676277,Monocyte_CD14:ENSG00000232300 +17,46742229,Monocyte_CD14:ENSG00000232300 +17,27879721,Monocyte_CD14:ENSG00000232859 +17,5114198,Monocyte_CD14:ENSG00000234327 +17,77088953,Monocyte_CD14:ENSG00000234912 +17,77098641,Monocyte_CD14:ENSG00000234912 +17,21187224,Monocyte_CD14:ENSG00000235530 +17,13931991,Monocyte_CD14:ENSG00000236088 +17,14051385,Monocyte_CD14:ENSG00000236088 +17,1521348,Monocyte_CD14:ENSG00000236618 +17,45585803,Monocyte_CD14:ENSG00000238083 +17,46717192,Monocyte_CD14:ENSG00000238083 +17,46775246,Monocyte_CD14:ENSG00000238083 +17,46780560,Monocyte_CD14:ENSG00000238083 +17,51153819,Monocyte_CD14:ENSG00000239672 +17,7536422,Monocyte_CD14:ENSG00000239697 +17,7550188,Monocyte_CD14:ENSG00000239697 +17,18682274,Monocyte_CD14:ENSG00000240445 +17,51166443,Monocyte_CD14:ENSG00000243678 +17,51166498,Monocyte_CD14:ENSG00000243678 +17,28351934,Monocyte_CD14:ENSG00000244045 +17,50293642,Monocyte_CD14:ENSG00000247011 +17,6654268,Monocyte_CD14:ENSG00000256806 +17,75969269,Monocyte_CD14:ENSG00000257949 +17,76001393,Monocyte_CD14:ENSG00000257949 +17,28731278,Monocyte_CD14:ENSG00000258472 +17,64506317,Monocyte_CD14:ENSG00000258890 +17,64818991,Monocyte_CD14:ENSG00000258890 +17,82300876,Monocyte_CD14:ENSG00000260563 +17,82314615,Monocyte_CD14:ENSG00000260563 +17,44222910,Monocyte_CD14:ENSG00000260793 +17,74567547,Monocyte_CD14:ENSG00000261222 +17,74567599,Monocyte_CD14:ENSG00000261222 +17,74599925,Monocyte_CD14:ENSG00000261222 +17,74603279,Monocyte_CD14:ENSG00000261222 +17,74618472,Monocyte_CD14:ENSG00000261222 +17,64318022,Monocyte_CD14:ENSG00000261371 +17,64325239,Monocyte_CD14:ENSG00000261371 +17,82603740,Monocyte_CD14:ENSG00000261845 +17,5233509,Monocyte_CD14:ENSG00000261879 +17,83107711,Monocyte_CD14:ENSG00000261888 +17,916551,Monocyte_CD14:ENSG00000262003 +17,81682485,Monocyte_CD14:ENSG00000262049 +17,6989759,Monocyte_CD14:ENSG00000262089 +17,4797151,Monocyte_CD14:ENSG00000262165 +17,19002062,Monocyte_CD14:ENSG00000262202 +17,19061909,Monocyte_CD14:ENSG00000262202 +17,19265378,Monocyte_CD14:ENSG00000262202 +17,19273703,Monocyte_CD14:ENSG00000262202 +17,19301295,Monocyte_CD14:ENSG00000262202 +17,19302247,Monocyte_CD14:ENSG00000262202 +17,19304287,Monocyte_CD14:ENSG00000262202 +17,19346504,Monocyte_CD14:ENSG00000262202 +17,19398416,Monocyte_CD14:ENSG00000262202 +17,82240314,Monocyte_CD14:ENSG00000262223 +17,80184260,Monocyte_CD14:ENSG00000262580 +17,80204006,Monocyte_CD14:ENSG00000262580 +17,80209604,Monocyte_CD14:ENSG00000262580 +17,82920427,Monocyte_CD14:ENSG00000262663 +17,4797151,Monocyte_CD14:ENSG00000262678 +17,81703356,Monocyte_CD14:ENSG00000262814 +17,81715184,Monocyte_CD14:ENSG00000262814 +17,81005490,Monocyte_CD14:ENSG00000262873 +17,81389928,Monocyte_CD14:ENSG00000262877 +17,81398689,Monocyte_CD14:ENSG00000262877 +17,46742229,Monocyte_CD14:ENSG00000262879 +17,46775246,Monocyte_CD14:ENSG00000262879 +17,47100410,Monocyte_CD14:ENSG00000262879 +17,82808370,Monocyte_CD14:ENSG00000262898 +17,50691968,Monocyte_CD14:ENSG00000262967 +17,57096786,Monocyte_CD14:ENSG00000263004 +17,509199,Monocyte_CD14:ENSG00000263015 +17,525073,Monocyte_CD14:ENSG00000263015 +17,56990856,Monocyte_CD14:ENSG00000263120 +17,5432738,Monocyte_CD14:ENSG00000263272 +17,47324391,Monocyte_CD14:ENSG00000263293 +17,10699650,Monocyte_CD14:ENSG00000263400 +17,30902279,Monocyte_CD14:ENSG00000263531 +17,30771235,Monocyte_CD14:ENSG00000263603 +17,75271437,Monocyte_CD14:ENSG00000263843 +17,38901264,Monocyte_CD14:ENSG00000263874 +17,38914735,Monocyte_CD14:ENSG00000263874 +17,58041077,Monocyte_CD14:ENSG00000264112 +17,58029489,Monocyte_CD14:ENSG00000264364 +17,74695746,Monocyte_CD14:ENSG00000264659 +17,67526104,Monocyte_CD14:ENSG00000264754 +17,75261905,Monocyte_CD14:ENSG00000264853 +17,51234478,Monocyte_CD14:ENSG00000264895 +17,47890061,Monocyte_CD14:ENSG00000264920 +17,47892239,Monocyte_CD14:ENSG00000264920 +17,47895614,Monocyte_CD14:ENSG00000264920 +17,68248437,Monocyte_CD14:ENSG00000265100 +17,58331728,Monocyte_CD14:ENSG00000265206 +17,30103285,Monocyte_CD14:ENSG00000265625 +17,40250938,Monocyte_CD14:ENSG00000265666 +17,82298635,Monocyte_CD14:ENSG00000265692 +17,30056882,Monocyte_CD14:ENSG00000265739 +17,27521170,Monocyte_CD14:ENSG00000265801 +17,81324790,Monocyte_CD14:ENSG00000266074 +17,20043203,Monocyte_CD14:ENSG00000266126 +17,31324211,Monocyte_CD14:ENSG00000266371 +17,64145966,Monocyte_CD14:ENSG00000266402 +17,67255754,Monocyte_CD14:ENSG00000266473 +17,30822863,Monocyte_CD14:ENSG00000266490 +17,15546630,Monocyte_CD14:ENSG00000266538 +17,75567943,Monocyte_CD14:ENSG00000266714 +17,75588744,Monocyte_CD14:ENSG00000266714 +17,75591977,Monocyte_CD14:ENSG00000266714 +17,32495486,Monocyte_CD14:ENSG00000266718 +17,30117165,Monocyte_CD14:ENSG00000266987 +17,30123011,Monocyte_CD14:ENSG00000266987 +17,77377856,Monocyte_CD14:ENSG00000266998 +17,76812637,Monocyte_CD14:ENSG00000267065 +17,44130516,Monocyte_CD14:ENSG00000267080 +17,45224491,Monocyte_CD14:ENSG00000267121 +17,78632201,Monocyte_CD14:ENSG00000267123 +17,46044213,Monocyte_CD14:ENSG00000267198 +17,46059059,Monocyte_CD14:ENSG00000267198 +17,45172070,Monocyte_CD14:ENSG00000267288 +17,35341777,Monocyte_CD14:ENSG00000267364 +17,70102283,Monocyte_CD14:ENSG00000267365 +17,59817638,Monocyte_CD14:ENSG00000267416 +17,59837522,Monocyte_CD14:ENSG00000267416 +17,35399943,Monocyte_CD14:ENSG00000267547 +17,35433192,Monocyte_CD14:ENSG00000267547 +17,68101598,Monocyte_CD14:ENSG00000267731 +17,78329307,Monocyte_CD14:ENSG00000267737 +17,19945137,Monocyte_CD14:ENSG00000270091 +17,64468504,Monocyte_CD14:ENSG00000271605 +17,64487814,Monocyte_CD14:ENSG00000271605 +17,64562505,Monocyte_CD14:ENSG00000271605 +17,18108467,Monocyte_CD14:ENSG00000273018 +17,18361135,Monocyte_CD14:ENSG00000273018 +17,18572316,Monocyte_CD14:ENSG00000273018 +17,38827767,Monocyte_CD14:ENSG00000273559 +17,59674993,Monocyte_CD14:ENSG00000273702 +17,59678957,Monocyte_CD14:ENSG00000273702 +17,9246075,Monocyte_CD14:ENSG00000273816 +17,21252280,Monocyte_CD14:ENSG00000274180 +17,38234247,Monocyte_CD14:ENSG00000274419 +17,38257723,Monocyte_CD14:ENSG00000274419 +17,38271612,Monocyte_CD14:ENSG00000274419 +17,38276119,Monocyte_CD14:ENSG00000274419 +17,38255522,Monocyte_CD14:ENSG00000274512 +17,68101598,Monocyte_CD14:ENSG00000274561 +17,68207443,Monocyte_CD14:ENSG00000274712 +17,36465388,Monocyte_CD14:ENSG00000274767 +17,38704674,Monocyte_CD14:ENSG00000275023 +17,37491071,Monocyte_CD14:ENSG00000275066 +17,38704674,Monocyte_CD14:ENSG00000275532 +17,36762495,Monocyte_CD14:ENSG00000275720 +17,82229054,Monocyte_CD14:ENSG00000275888 +17,37491071,Monocyte_CD14:ENSG00000276023 +17,36463908,Monocyte_CD14:ENSG00000276070 +17,36157116,Monocyte_CD14:ENSG00000276085 +17,36161853,Monocyte_CD14:ENSG00000276085 +17,36463908,Monocyte_CD14:ENSG00000276085 +17,36465055,Monocyte_CD14:ENSG00000276085 +17,36467153,Monocyte_CD14:ENSG00000276085 +17,36481151,Monocyte_CD14:ENSG00000276085 +17,37420014,Monocyte_CD14:ENSG00000276234 +17,37491071,Monocyte_CD14:ENSG00000276234 +17,38827214,Monocyte_CD14:ENSG00000276293 +17,15787479,Monocyte_CD14:ENSG00000276855 +17,79722267,Monocyte_CD14:ENSG00000276863 +17,68101598,Monocyte_CD14:ENSG00000277476 +17,36084540,Monocyte_CD14:ENSG00000277632 +17,36625342,Monocyte_CD14:ENSG00000277688 +17,38765002,Monocyte_CD14:ENSG00000277791 +17,38770802,Monocyte_CD14:ENSG00000277791 +17,38795024,Monocyte_CD14:ENSG00000277791 +17,38819230,Monocyte_CD14:ENSG00000277791 +17,38704674,Monocyte_CD14:ENSG00000277969 +17,38733726,Monocyte_CD14:ENSG00000277972 +17,37635608,Monocyte_CD14:ENSG00000278053 +17,37643522,Monocyte_CD14:ENSG00000278053 +17,36552537,Monocyte_CD14:ENSG00000278259 +17,36541028,Monocyte_CD14:ENSG00000278311 +17,36487995,Monocyte_CD14:ENSG00000278535 +17,68101598,Monocyte_CD14:ENSG00000278730 +17,68110115,Monocyte_CD14:ENSG00000278740 +17,40651997,Monocyte_CD14:ENSG00000278834 +17,38255522,Monocyte_CD14:ENSG00000278845 +17,76583249,Monocyte_CD14:ENSG00000284526 +17,76587654,Monocyte_CD14:ENSG00000284526 +17,76599764,Monocyte_CD14:ENSG00000284526 +17,31405130,Monocyte_CD14:ENSG00000286194 +17,81324790,Monocyte_CD14:ENSG00000287431 +17,82314615,Monocyte_CD14:ENSG00000287737 +17,17434391,Monocyte_CD14:ENSG00000288235 +17,17729037,Monocyte_CD14:ENSG00000288235 +15,34972839,Monocyte_CD14:ENSG00000021776 +15,64070950,Monocyte_CD14:ENSG00000028528 +15,68038087,Monocyte_CD14:ENSG00000033800 +15,68054731,Monocyte_CD14:ENSG00000033800 +15,64075546,Monocyte_CD14:ENSG00000035664 +15,78313828,Monocyte_CD14:ENSG00000041357 +15,78548878,Monocyte_CD14:ENSG00000041357 +15,83092896,Monocyte_CD14:ENSG00000064726 +15,73974979,Monocyte_CD14:ENSG00000067221 +15,99474432,Monocyte_CD14:ENSG00000068305 +15,99509966,Monocyte_CD14:ENSG00000068305 +15,99524228,Monocyte_CD14:ENSG00000068305 +15,55945123,Monocyte_CD14:ENSG00000069869 +15,55949380,Monocyte_CD14:ENSG00000069869 +15,55999375,Monocyte_CD14:ENSG00000069869 +15,56031477,Monocyte_CD14:ENSG00000069869 +15,55333735,Monocyte_CD14:ENSG00000069943 +15,51158988,Monocyte_CD14:ENSG00000069956 +15,52019314,Monocyte_CD14:ENSG00000069956 +15,52123544,Monocyte_CD14:ENSG00000069966 +15,52172539,Monocyte_CD14:ENSG00000069966 +15,55221403,Monocyte_CD14:ENSG00000069974 +15,84993646,Monocyte_CD14:ENSG00000073417 +15,65530485,Monocyte_CD14:ENSG00000074603 +15,65530485,Monocyte_CD14:ENSG00000074621 +15,65545106,Monocyte_CD14:ENSG00000074696 +15,48329639,Monocyte_CD14:ENSG00000074803 +15,66373353,Monocyte_CD14:ENSG00000075131 +15,50976097,Monocyte_CD14:ENSG00000081014 +15,65119371,Monocyte_CD14:ENSG00000090470 +15,64994508,Monocyte_CD14:ENSG00000090487 +15,50525658,Monocyte_CD14:ENSG00000092439 +15,42359702,Monocyte_CD14:ENSG00000092529 +15,42493962,Monocyte_CD14:ENSG00000092531 +15,67351925,Monocyte_CD14:ENSG00000103591 +15,63114974,Monocyte_CD14:ENSG00000103642 +15,63136863,Monocyte_CD14:ENSG00000103642 +15,74810582,Monocyte_CD14:ENSG00000103653 +15,63733857,Monocyte_CD14:ENSG00000103657 +15,64753092,Monocyte_CD14:ENSG00000103671 +15,82712096,Monocyte_CD14:ENSG00000103723 +15,65912500,Monocyte_CD14:ENSG00000103769 +15,78928207,Monocyte_CD14:ENSG00000103811 +15,78937302,Monocyte_CD14:ENSG00000103811 +15,78944951,Monocyte_CD14:ENSG00000103811 +15,78957207,Monocyte_CD14:ENSG00000103811 +15,99236982,Monocyte_CD14:ENSG00000103852 +15,73953704,Monocyte_CD14:ENSG00000103855 +15,80151415,Monocyte_CD14:ENSG00000103876 +15,41536373,Monocyte_CD14:ENSG00000103932 +15,82882880,Monocyte_CD14:ENSG00000103942 +15,82945511,Monocyte_CD14:ENSG00000103942 +15,82952022,Monocyte_CD14:ENSG00000103942 +15,82992049,Monocyte_CD14:ENSG00000103942 +15,41927762,Monocyte_CD14:ENSG00000103966 +15,41931985,Monocyte_CD14:ENSG00000103966 +15,41978499,Monocyte_CD14:ENSG00000103966 +15,42359702,Monocyte_CD14:ENSG00000103978 +15,42212978,Monocyte_CD14:ENSG00000103994 +15,48724827,Monocyte_CD14:ENSG00000103995 +15,50065546,Monocyte_CD14:ENSG00000104043 +15,50066381,Monocyte_CD14:ENSG00000104043 +15,50156166,Monocyte_CD14:ENSG00000104043 +15,49703091,Monocyte_CD14:ENSG00000104047 +15,40105220,Monocyte_CD14:ENSG00000104081 +15,51490815,Monocyte_CD14:ENSG00000104093 +15,51516376,Monocyte_CD14:ENSG00000104093 +15,45606991,Monocyte_CD14:ENSG00000104164 +15,80986795,Monocyte_CD14:ENSG00000117899 +15,76334830,Monocyte_CD14:ENSG00000117906 +15,76837229,Monocyte_CD14:ENSG00000117906 +15,28106271,Monocyte_CD14:ENSG00000128731 +15,24921833,Monocyte_CD14:ENSG00000128739 +15,24958411,Monocyte_CD14:ENSG00000128739 +15,39991049,Monocyte_CD14:ENSG00000128829 +15,51553789,Monocyte_CD14:ENSG00000128872 +15,51750359,Monocyte_CD14:ENSG00000128872 +15,51759199,Monocyte_CD14:ENSG00000128872 +15,42887550,Monocyte_CD14:ENSG00000128881 +15,40563011,Monocyte_CD14:ENSG00000128891 +15,40583471,Monocyte_CD14:ENSG00000128891 +15,60423601,Monocyte_CD14:ENSG00000128915 +15,58770945,Monocyte_CD14:ENSG00000128923 +15,58787703,Monocyte_CD14:ENSG00000128923 +15,40368812,Monocyte_CD14:ENSG00000128928 +15,40383292,Monocyte_CD14:ENSG00000128928 +15,40407823,Monocyte_CD14:ENSG00000128928 +15,40383292,Monocyte_CD14:ENSG00000128944 +15,48305317,Monocyte_CD14:ENSG00000128951 +15,40206302,Monocyte_CD14:ENSG00000128965 +15,68233161,Monocyte_CD14:ENSG00000128973 +15,52556193,Monocyte_CD14:ENSG00000128989 +15,62057214,Monocyte_CD14:ENSG00000129003 +15,68054731,Monocyte_CD14:ENSG00000129007 +15,101740599,Monocyte_CD14:ENSG00000131871 +15,101192512,Monocyte_CD14:ENSG00000131873 +15,34209670,Monocyte_CD14:ENSG00000134152 +15,79843787,Monocyte_CD14:ENSG00000136371 +15,79896761,Monocyte_CD14:ENSG00000136371 +15,79898938,Monocyte_CD14:ENSG00000136371 +15,79914169,Monocyte_CD14:ENSG00000136371 +15,79922634,Monocyte_CD14:ENSG00000136371 +15,80700552,Monocyte_CD14:ENSG00000136379 +15,80716706,Monocyte_CD14:ENSG00000136379 +15,78313828,Monocyte_CD14:ENSG00000136381 +15,78431914,Monocyte_CD14:ENSG00000136381 +15,78493460,Monocyte_CD14:ENSG00000136381 +15,82969499,Monocyte_CD14:ENSG00000136404 +15,83092896,Monocyte_CD14:ENSG00000136404 +15,83241169,Monocyte_CD14:ENSG00000136404 +15,67568249,Monocyte_CD14:ENSG00000137764 +15,45356074,Monocyte_CD14:ENSG00000137767 +15,45631817,Monocyte_CD14:ENSG00000137767 +15,45654885,Monocyte_CD14:ENSG00000137767 +15,58978423,Monocyte_CD14:ENSG00000137776 +15,39307617,Monocyte_CD14:ENSG00000137801 +15,39313527,Monocyte_CD14:ENSG00000137801 +15,39319675,Monocyte_CD14:ENSG00000137801 +15,39328133,Monocyte_CD14:ENSG00000137801 +15,39376669,Monocyte_CD14:ENSG00000137801 +15,41774339,Monocyte_CD14:ENSG00000137802 +15,41322423,Monocyte_CD14:ENSG00000137804 +15,41348879,Monocyte_CD14:ENSG00000137804 +15,41402441,Monocyte_CD14:ENSG00000137806 +15,69436191,Monocyte_CD14:ENSG00000137807 +15,41264197,Monocyte_CD14:ENSG00000137815 +15,41348879,Monocyte_CD14:ENSG00000137815 +15,41456414,Monocyte_CD14:ENSG00000137815 +15,69367888,Monocyte_CD14:ENSG00000137818 +15,69436191,Monocyte_CD14:ENSG00000137818 +15,43394757,Monocyte_CD14:ENSG00000137822 +15,70672463,Monocyte_CD14:ENSG00000137831 +15,70845218,Monocyte_CD14:ENSG00000137831 +15,40304367,Monocyte_CD14:ENSG00000137841 +15,40305028,Monocyte_CD14:ENSG00000137841 +15,43348552,Monocyte_CD14:ENSG00000137842 +15,58277697,Monocyte_CD14:ENSG00000137845 +15,58478324,Monocyte_CD14:ENSG00000137845 +15,55193813,Monocyte_CD14:ENSG00000137876 +15,55196915,Monocyte_CD14:ENSG00000137876 +15,55210566,Monocyte_CD14:ENSG00000137876 +15,41899321,Monocyte_CD14:ENSG00000137877 +15,41927762,Monocyte_CD14:ENSG00000137877 +15,40744250,Monocyte_CD14:ENSG00000137880 +15,40767886,Monocyte_CD14:ENSG00000137880 +15,50450707,Monocyte_CD14:ENSG00000138592 +15,50459832,Monocyte_CD14:ENSG00000138592 +15,51872263,Monocyte_CD14:ENSG00000138594 +15,50848678,Monocyte_CD14:ENSG00000138600 +15,69131804,Monocyte_CD14:ENSG00000138604 +15,63277703,Monocyte_CD14:ENSG00000138613 +15,65530485,Monocyte_CD14:ENSG00000138614 +15,65286695,Monocyte_CD14:ENSG00000138617 +15,74461084,Monocyte_CD14:ENSG00000138629 +15,74862516,Monocyte_CD14:ENSG00000138629 +15,22942334,Monocyte_CD14:ENSG00000140157 +15,34332362,Monocyte_CD14:ENSG00000140199 +15,45080892,Monocyte_CD14:ENSG00000140263 +15,43655847,Monocyte_CD14:ENSG00000140264 +15,43790232,Monocyte_CD14:ENSG00000140264 +15,51553789,Monocyte_CD14:ENSG00000140280 +15,51923283,Monocyte_CD14:ENSG00000140280 +15,59687323,Monocyte_CD14:ENSG00000140299 +15,59687323,Monocyte_CD14:ENSG00000140307 +15,40036091,Monocyte_CD14:ENSG00000140319 +15,40038363,Monocyte_CD14:ENSG00000140319 +15,69761764,Monocyte_CD14:ENSG00000140332 +15,68783135,Monocyte_CD14:ENSG00000140350 +15,75336073,Monocyte_CD14:ENSG00000140365 +15,75585373,Monocyte_CD14:ENSG00000140365 +15,75306058,Monocyte_CD14:ENSG00000140367 +15,75900088,Monocyte_CD14:ENSG00000140367 +15,77004395,Monocyte_CD14:ENSG00000140368 +15,77037329,Monocyte_CD14:ENSG00000140368 +15,76204876,Monocyte_CD14:ENSG00000140374 +15,76311338,Monocyte_CD14:ENSG00000140374 +15,79898938,Monocyte_CD14:ENSG00000140379 +15,79898996,Monocyte_CD14:ENSG00000140379 +15,79899001,Monocyte_CD14:ENSG00000140379 +15,79966732,Monocyte_CD14:ENSG00000140379 +15,79968452,Monocyte_CD14:ENSG00000140379 +15,79971375,Monocyte_CD14:ENSG00000140379 +15,76792643,Monocyte_CD14:ENSG00000140386 +15,77037329,Monocyte_CD14:ENSG00000140391 +15,77064970,Monocyte_CD14:ENSG00000140391 +15,77083841,Monocyte_CD14:ENSG00000140391 +15,78313828,Monocyte_CD14:ENSG00000140395 +15,75475956,Monocyte_CD14:ENSG00000140400 +15,78301001,Monocyte_CD14:ENSG00000140403 +15,78313828,Monocyte_CD14:ENSG00000140403 +15,62932307,Monocyte_CD14:ENSG00000140416 +15,63048791,Monocyte_CD14:ENSG00000140416 +15,63105119,Monocyte_CD14:ENSG00000140416 +15,98547463,Monocyte_CD14:ENSG00000140443 +15,97961645,Monocyte_CD14:ENSG00000140450 +15,97979038,Monocyte_CD14:ENSG00000140450 +15,64638529,Monocyte_CD14:ENSG00000140451 +15,63498926,Monocyte_CD14:ENSG00000140455 +15,72686190,Monocyte_CD14:ENSG00000140463 +15,73982829,Monocyte_CD14:ENSG00000140464 +15,73997257,Monocyte_CD14:ENSG00000140464 +15,100542519,Monocyte_CD14:ENSG00000140471 +15,100553922,Monocyte_CD14:ENSG00000140471 +15,100588883,Monocyte_CD14:ENSG00000140471 +15,100596458,Monocyte_CD14:ENSG00000140471 +15,74177375,Monocyte_CD14:ENSG00000140474 +15,74839320,Monocyte_CD14:ENSG00000140474 +15,75023634,Monocyte_CD14:ENSG00000140497 +15,88904961,Monocyte_CD14:ENSG00000140511 +15,89334296,Monocyte_CD14:ENSG00000140525 +15,89054191,Monocyte_CD14:ENSG00000140526 +15,89056935,Monocyte_CD14:ENSG00000140526 +15,89070513,Monocyte_CD14:ENSG00000140526 +15,89123593,Monocyte_CD14:ENSG00000140526 +15,89417864,Monocyte_CD14:ENSG00000140526 +15,88912537,Monocyte_CD14:ENSG00000140545 +15,90072900,Monocyte_CD14:ENSG00000140548 +15,94206686,Monocyte_CD14:ENSG00000140563 +15,94259533,Monocyte_CD14:ENSG00000140563 +15,90808700,Monocyte_CD14:ENSG00000140564 +15,90885725,Monocyte_CD14:ENSG00000140564 +15,90390451,Monocyte_CD14:ENSG00000140575 +15,90466252,Monocyte_CD14:ENSG00000140575 +15,90569024,Monocyte_CD14:ENSG00000140577 +15,84655131,Monocyte_CD14:ENSG00000140612 +15,84736272,Monocyte_CD14:ENSG00000140612 +15,101070131,Monocyte_CD14:ENSG00000154237 +15,82845358,Monocyte_CD14:ENSG00000156232 +15,73462039,Monocyte_CD14:ENSG00000156642 +15,49318058,Monocyte_CD14:ENSG00000156958 +15,59030849,Monocyte_CD14:ENSG00000157450 +15,59363379,Monocyte_CD14:ENSG00000157483 +15,59372281,Monocyte_CD14:ENSG00000157483 +15,59406649,Monocyte_CD14:ENSG00000157483 +15,89814887,Monocyte_CD14:ENSG00000157823 +15,89863887,Monocyte_CD14:ENSG00000157823 +15,89864201,Monocyte_CD14:ENSG00000157823 +15,89911525,Monocyte_CD14:ENSG00000157823 +15,72736727,Monocyte_CD14:ENSG00000159322 +15,41727756,Monocyte_CD14:ENSG00000159433 +15,42887550,Monocyte_CD14:ENSG00000159459 +15,43722751,Monocyte_CD14:ENSG00000159459 +15,76336395,Monocyte_CD14:ENSG00000159556 +15,38069246,Monocyte_CD14:ENSG00000166068 +15,63203962,Monocyte_CD14:ENSG00000166128 +15,40812503,Monocyte_CD14:ENSG00000166140 +15,40847504,Monocyte_CD14:ENSG00000166145 +15,40853721,Monocyte_CD14:ENSG00000166145 +15,40860975,Monocyte_CD14:ENSG00000166145 +15,78168251,Monocyte_CD14:ENSG00000166411 +15,83092896,Monocyte_CD14:ENSG00000166503 +15,79311094,Monocyte_CD14:ENSG00000166557 +15,79311418,Monocyte_CD14:ENSG00000166557 +15,30654103,Monocyte_CD14:ENSG00000166664 +15,44718817,Monocyte_CD14:ENSG00000166710 +15,84069001,Monocyte_CD14:ENSG00000166716 +15,44239968,Monocyte_CD14:ENSG00000166734 +15,43655847,Monocyte_CD14:ENSG00000166762 +15,64620796,Monocyte_CD14:ENSG00000166794 +15,64075546,Monocyte_CD14:ENSG00000166797 +15,89765402,Monocyte_CD14:ENSG00000166823 +15,89814887,Monocyte_CD14:ENSG00000166823 +15,89814887,Monocyte_CD14:ENSG00000166825 +15,89836807,Monocyte_CD14:ENSG00000166825 +15,89876597,Monocyte_CD14:ENSG00000166825 +15,65426555,Monocyte_CD14:ENSG00000166839 +15,30929794,Monocyte_CD14:ENSG00000166912 +15,30980467,Monocyte_CD14:ENSG00000166912 +15,45356074,Monocyte_CD14:ENSG00000166920 +15,66274139,Monocyte_CD14:ENSG00000166938 +15,66373353,Monocyte_CD14:ENSG00000166938 +15,66378743,Monocyte_CD14:ENSG00000166938 +15,43176874,Monocyte_CD14:ENSG00000166946 +15,43202359,Monocyte_CD14:ENSG00000166946 +15,67024729,Monocyte_CD14:ENSG00000166949 +15,90955016,Monocyte_CD14:ENSG00000166965 +15,43727590,Monocyte_CD14:ENSG00000167004 +15,76063514,Monocyte_CD14:ENSG00000167196 +15,77984075,Monocyte_CD14:ENSG00000167202 +15,43655847,Monocyte_CD14:ENSG00000168781 +15,43335657,Monocyte_CD14:ENSG00000168803 +15,43335657,Monocyte_CD14:ENSG00000168806 +15,99926445,Monocyte_CD14:ENSG00000168904 +15,68277820,Monocyte_CD14:ENSG00000169018 +15,64753092,Monocyte_CD14:ENSG00000169118 +15,75620548,Monocyte_CD14:ENSG00000169371 +15,75631038,Monocyte_CD14:ENSG00000169371 +15,82999711,Monocyte_CD14:ENSG00000169609 +15,83005680,Monocyte_CD14:ENSG00000169609 +15,83019435,Monocyte_CD14:ENSG00000169609 +15,83011535,Monocyte_CD14:ENSG00000169612 +15,78548878,Monocyte_CD14:ENSG00000169684 +15,75835787,Monocyte_CD14:ENSG00000169752 +15,33989154,Monocyte_CD14:ENSG00000169857 +15,31338149,Monocyte_CD14:ENSG00000169926 +15,23011881,Monocyte_CD14:ENSG00000170113 +15,23020394,Monocyte_CD14:ENSG00000170113 +15,85528895,Monocyte_CD14:ENSG00000170776 +15,85708269,Monocyte_CD14:ENSG00000170776 +15,45419294,Monocyte_CD14:ENSG00000171763 +15,45269706,Monocyte_CD14:ENSG00000171766 +15,45356074,Monocyte_CD14:ENSG00000171766 +15,62230289,Monocyte_CD14:ENSG00000171914 +15,88630325,Monocyte_CD14:ENSG00000172183 +15,81323836,Monocyte_CD14:ENSG00000172345 +15,81297107,Monocyte_CD14:ENSG00000172349 +15,81297996,Monocyte_CD14:ENSG00000172349 +15,92890706,Monocyte_CD14:ENSG00000173575 +15,66494184,Monocyte_CD14:ENSG00000174444 +15,66494184,Monocyte_CD14:ENSG00000174446 +15,65530485,Monocyte_CD14:ENSG00000174485 +15,34569123,Monocyte_CD14:ENSG00000175265 +15,34572421,Monocyte_CD14:ENSG00000175265 +15,34572882,Monocyte_CD14:ENSG00000175265 +15,34667016,Monocyte_CD14:ENSG00000175265 +15,31413710,Monocyte_CD14:ENSG00000175344 +15,34332362,Monocyte_CD14:ENSG00000176454 +15,91854664,Monocyte_CD14:ENSG00000176463 +15,84636601,Monocyte_CD14:ENSG00000177082 +15,75620548,Monocyte_CD14:ENSG00000177971 +15,30373523,Monocyte_CD14:ENSG00000178115 +15,31077154,Monocyte_CD14:ENSG00000178115 +15,74839320,Monocyte_CD14:ENSG00000178741 +15,74903835,Monocyte_CD14:ENSG00000178802 +15,64539171,Monocyte_CD14:ENSG00000180357 +15,79908310,Monocyte_CD14:ENSG00000180953 +15,79944073,Monocyte_CD14:ENSG00000180953 +15,42545300,Monocyte_CD14:ENSG00000180979 +15,88630325,Monocyte_CD14:ENSG00000181026 +15,89814887,Monocyte_CD14:ENSG00000182054 +15,90094218,Monocyte_CD14:ENSG00000182054 +15,34253627,Monocyte_CD14:ENSG00000182117 +15,34340656,Monocyte_CD14:ENSG00000182117 +15,93040813,Monocyte_CD14:ENSG00000182175 +15,93247858,Monocyte_CD14:ENSG00000182175 +15,93248080,Monocyte_CD14:ENSG00000182175 +15,34065625,Monocyte_CD14:ENSG00000182405 +15,90808700,Monocyte_CD14:ENSG00000182511 +15,90884462,Monocyte_CD14:ENSG00000182511 +15,90885725,Monocyte_CD14:ENSG00000182511 +15,23687320,Monocyte_CD14:ENSG00000182636 +15,60347411,Monocyte_CD14:ENSG00000182718 +15,60395645,Monocyte_CD14:ENSG00000182718 +15,60398696,Monocyte_CD14:ENSG00000182718 +15,90242580,Monocyte_CD14:ENSG00000182768 +15,82550590,Monocyte_CD14:ENSG00000182774 +15,99733412,Monocyte_CD14:ENSG00000183060 +15,90232681,Monocyte_CD14:ENSG00000183208 +15,81595747,Monocyte_CD14:ENSG00000183496 +15,84399499,Monocyte_CD14:ENSG00000184206 +15,84402554,Monocyte_CD14:ENSG00000184206 +15,101718008,Monocyte_CD14:ENSG00000184277 +15,90937490,Monocyte_CD14:ENSG00000184508 +15,90217904,Monocyte_CD14:ENSG00000185033 +15,90232681,Monocyte_CD14:ENSG00000185043 +15,90234035,Monocyte_CD14:ENSG00000185043 +15,90234211,Monocyte_CD14:ENSG00000185043 +15,63154000,Monocyte_CD14:ENSG00000185088 +15,101654085,Monocyte_CD14:ENSG00000185418 +15,92730826,Monocyte_CD14:ENSG00000185442 +15,44729507,Monocyte_CD14:ENSG00000185880 +15,44729568,Monocyte_CD14:ENSG00000185880 +15,36578487,Monocyte_CD14:ENSG00000186073 +15,30598212,Monocyte_CD14:ENSG00000186399 +15,41264197,Monocyte_CD14:ENSG00000187446 +15,89814887,Monocyte_CD14:ENSG00000188095 +15,40327542,Monocyte_CD14:ENSG00000188549 +15,82271865,Monocyte_CD14:ENSG00000188659 +15,67521033,Monocyte_CD14:ENSG00000189227 +15,100542519,Monocyte_CD14:ENSG00000189419 +15,91440146,Monocyte_CD14:ENSG00000196547 +15,90808700,Monocyte_CD14:ENSG00000197299 +15,52404267,Monocyte_CD14:ENSG00000197535 +15,52524819,Monocyte_CD14:ENSG00000197535 +15,52556193,Monocyte_CD14:ENSG00000197535 +15,84658188,Monocyte_CD14:ENSG00000197696 +15,35059218,Monocyte_CD14:ENSG00000198146 +15,30861155,Monocyte_CD14:ENSG00000198690 +15,30869457,Monocyte_CD14:ENSG00000198690 +15,74995405,Monocyte_CD14:ENSG00000198794 +15,32647989,Monocyte_CD14:ENSG00000198826 +15,31881042,Monocyte_CD14:ENSG00000206127 +15,25778405,Monocyte_CD14:ENSG00000206190 +15,25790463,Monocyte_CD14:ENSG00000206190 +15,72352665,Monocyte_CD14:ENSG00000213614 +15,42325646,Monocyte_CD14:ENSG00000214013 +15,34421309,Monocyte_CD14:ENSG00000215252 +15,34524985,Monocyte_CD14:ENSG00000215252 +15,34581062,Monocyte_CD14:ENSG00000215252 +15,24921833,Monocyte_CD14:ENSG00000224078 +15,24958411,Monocyte_CD14:ENSG00000224078 +15,55324033,Monocyte_CD14:ENSG00000225973 +15,44718817,Monocyte_CD14:ENSG00000229474 +15,32517792,Monocyte_CD14:ENSG00000232653 +15,38069246,Monocyte_CD14:ENSG00000236914 +15,64842375,Monocyte_CD14:ENSG00000241839 +15,43655847,Monocyte_CD14:ENSG00000242028 +15,89911525,Monocyte_CD14:ENSG00000242498 +15,41847192,Monocyte_CD14:ENSG00000243708 +15,41774339,Monocyte_CD14:ENSG00000243789 +15,41841304,Monocyte_CD14:ENSG00000243789 +15,50356743,Monocyte_CD14:ENSG00000244879 +15,60479090,Monocyte_CD14:ENSG00000245534 +15,40697193,Monocyte_CD14:ENSG00000245849 +15,40735704,Monocyte_CD14:ENSG00000245849 +15,58770945,Monocyte_CD14:ENSG00000245975 +15,65119371,Monocyte_CD14:ENSG00000246922 +15,41322423,Monocyte_CD14:ENSG00000247556 +15,41380382,Monocyte_CD14:ENSG00000247556 +15,40038428,Monocyte_CD14:ENSG00000248508 +15,33137054,Monocyte_CD14:ENSG00000248905 +15,33152014,Monocyte_CD14:ENSG00000248905 +15,33155659,Monocyte_CD14:ENSG00000248905 +15,57712690,Monocyte_CD14:ENSG00000255529 +15,55378606,Monocyte_CD14:ENSG00000256061 +15,55393447,Monocyte_CD14:ENSG00000256061 +15,55498637,Monocyte_CD14:ENSG00000256061 +15,93868029,Monocyte_CD14:ENSG00000258476 +15,93890794,Monocyte_CD14:ENSG00000258476 +15,68906046,Monocyte_CD14:ENSG00000258484 +15,48305317,Monocyte_CD14:ENSG00000259235 +15,39477439,Monocyte_CD14:ENSG00000259269 +15,90094218,Monocyte_CD14:ENSG00000259291 +15,40327386,Monocyte_CD14:ENSG00000259330 +15,39319675,Monocyte_CD14:ENSG00000259345 +15,67057817,Monocyte_CD14:ENSG00000259347 +15,45448194,Monocyte_CD14:ENSG00000259354 +15,99824123,Monocyte_CD14:ENSG00000259363 +15,99860384,Monocyte_CD14:ENSG00000259363 +15,99926445,Monocyte_CD14:ENSG00000259363 +15,39319675,Monocyte_CD14:ENSG00000259447 +15,31222253,Monocyte_CD14:ENSG00000259448 +15,48254530,Monocyte_CD14:ENSG00000259488 +15,45278027,Monocyte_CD14:ENSG00000259520 +15,62077458,Monocyte_CD14:ENSG00000259564 +15,77064970,Monocyte_CD14:ENSG00000259652 +15,67521033,Monocyte_CD14:ENSG00000259673 +15,82059296,Monocyte_CD14:ENSG00000259692 +15,90839765,Monocyte_CD14:ENSG00000259704 +15,90839912,Monocyte_CD14:ENSG00000259704 +15,50356743,Monocyte_CD14:ENSG00000259715 +15,83092896,Monocyte_CD14:ENSG00000259767 +15,71773892,Monocyte_CD14:ENSG00000260037 +15,75369360,Monocyte_CD14:ENSG00000260274 +15,68277820,Monocyte_CD14:ENSG00000260657 +15,30608425,Monocyte_CD14:ENSG00000260693 +15,55411924,Monocyte_CD14:ENSG00000260916 +15,31881042,Monocyte_CD14:ENSG00000261064 +15,32517792,Monocyte_CD14:ENSG00000261064 +15,40760879,Monocyte_CD14:ENSG00000261183 +15,66390371,Monocyte_CD14:ENSG00000261351 +15,89334296,Monocyte_CD14:ENSG00000261441 +15,55411924,Monocyte_CD14:ENSG00000261652 +15,42545300,Monocyte_CD14:ENSG00000261684 +15,30654103,Monocyte_CD14:ENSG00000261794 +15,30608425,Monocyte_CD14:ENSG00000269930 +15,30621051,Monocyte_CD14:ENSG00000270055 +15,30641750,Monocyte_CD14:ENSG00000270055 +15,30654103,Monocyte_CD14:ENSG00000270055 +15,30747860,Monocyte_CD14:ENSG00000270055 +15,30796580,Monocyte_CD14:ENSG00000270055 +15,30902322,Monocyte_CD14:ENSG00000270055 +15,31268838,Monocyte_CD14:ENSG00000270055 +15,100542519,Monocyte_CD14:ENSG00000270127 +15,100553922,Monocyte_CD14:ENSG00000270127 +15,100596458,Monocyte_CD14:ENSG00000270127 +15,67628127,Monocyte_CD14:ENSG00000270964 +15,92832280,Monocyte_CD14:ENSG00000272888 +15,24997789,Monocyte_CD14:ENSG00000273173 +15,50862679,Monocyte_CD14:ENSG00000273674 +15,89317118,Monocyte_CD14:ENSG00000273691 +15,90026040,Monocyte_CD14:ENSG00000273691 +15,22849647,Monocyte_CD14:ENSG00000273749 +15,40288963,Monocyte_CD14:ENSG00000273855 +15,45692803,Monocyte_CD14:ENSG00000273972 +15,64943580,Monocyte_CD14:ENSG00000274383 +15,65025350,Monocyte_CD14:ENSG00000274383 +15,52258379,Monocyte_CD14:ENSG00000274954 +15,52645330,Monocyte_CD14:ENSG00000274954 +15,84658188,Monocyte_CD14:ENSG00000275120 +15,75620548,Monocyte_CD14:ENSG00000275454 +15,49591382,Monocyte_CD14:ENSG00000275580 +15,43655847,Monocyte_CD14:ENSG00000275601 +15,22794969,Monocyte_CD14:ENSG00000275835 +15,39307617,Monocyte_CD14:ENSG00000276107 +15,39376669,Monocyte_CD14:ENSG00000276107 +15,84655131,Monocyte_CD14:ENSG00000276278 +15,49396136,Monocyte_CD14:ENSG00000276593 +15,63498926,Monocyte_CD14:ENSG00000276651 +15,32517792,Monocyte_CD14:ENSG00000276724 +15,66832100,Monocyte_CD14:ENSG00000277152 +15,80986795,Monocyte_CD14:ENSG00000277782 +15,99015155,Monocyte_CD14:ENSG00000278090 +15,79922634,Monocyte_CD14:ENSG00000278600 +15,82572773,Monocyte_CD14:ENSG00000278662 +15,55193813,Monocyte_CD14:ENSG00000279145 +15,98547463,Monocyte_CD14:ENSG00000283597 +15,50342324,Monocyte_CD14:ENSG00000285410 +15,90632794,Monocyte_CD14:ENSG00000285560 +15,84860265,Monocyte_CD14:ENSG00000285667 +15,79922634,Monocyte_CD14:ENSG00000286813 +15,83092896,Monocyte_CD14:ENSG00000286872 +15,83108623,Monocyte_CD14:ENSG00000286872 +18,9437960,Monocyte_CD14:ENSG00000017797 +18,9488706,Monocyte_CD14:ENSG00000017797 +18,31950257,Monocyte_CD14:ENSG00000046604 +18,58044971,Monocyte_CD14:ENSG00000049759 +18,58046304,Monocyte_CD14:ENSG00000049759 +18,57603214,Monocyte_CD14:ENSG00000066926 +18,21295347,Monocyte_CD14:ENSG00000067900 +18,21414722,Monocyte_CD14:ENSG00000067900 +18,58887674,Monocyte_CD14:ENSG00000074657 +18,58978651,Monocyte_CD14:ENSG00000074657 +18,59354971,Monocyte_CD14:ENSG00000074695 +18,36180198,Monocyte_CD14:ENSG00000075643 +18,46884915,Monocyte_CD14:ENSG00000078043 +18,41951164,Monocyte_CD14:ENSG00000078142 +18,62715583,Monocyte_CD14:ENSG00000081913 +18,50836763,Monocyte_CD14:ENSG00000082212 +18,50897865,Monocyte_CD14:ENSG00000082212 +18,5404776,Monocyte_CD14:ENSG00000082397 +18,5422092,Monocyte_CD14:ENSG00000082397 +18,5441248,Monocyte_CD14:ENSG00000082397 +18,5452311,Monocyte_CD14:ENSG00000082397 +18,5555208,Monocyte_CD14:ENSG00000082397 +18,56632290,Monocyte_CD14:ENSG00000091157 +18,76359827,Monocyte_CD14:ENSG00000101493 +18,76546230,Monocyte_CD14:ENSG00000101493 +18,80064850,Monocyte_CD14:ENSG00000101546 +18,177633,Monocyte_CD14:ENSG00000101557 +18,9777730,Monocyte_CD14:ENSG00000101558 +18,2535815,Monocyte_CD14:ENSG00000101574 +18,2609110,Monocyte_CD14:ENSG00000101574 +18,2980124,Monocyte_CD14:ENSG00000101577 +18,3012389,Monocyte_CD14:ENSG00000101577 +18,3014462,Monocyte_CD14:ENSG00000101577 +18,2636752,Monocyte_CD14:ENSG00000101596 +18,2645219,Monocyte_CD14:ENSG00000101596 +18,2646531,Monocyte_CD14:ENSG00000101596 +18,2656249,Monocyte_CD14:ENSG00000101596 +18,3258551,Monocyte_CD14:ENSG00000101605 +18,3258738,Monocyte_CD14:ENSG00000101605 +18,2980124,Monocyte_CD14:ENSG00000101608 +18,3172309,Monocyte_CD14:ENSG00000101608 +18,3251330,Monocyte_CD14:ENSG00000101608 +18,13091662,Monocyte_CD14:ENSG00000101639 +18,13726683,Monocyte_CD14:ENSG00000101654 +18,48748906,Monocyte_CD14:ENSG00000101665 +18,48937386,Monocyte_CD14:ENSG00000101665 +18,32050946,Monocyte_CD14:ENSG00000101695 +18,32075509,Monocyte_CD14:ENSG00000101695 +18,9137049,Monocyte_CD14:ENSG00000101745 +18,54266720,Monocyte_CD14:ENSG00000101751 +18,54288913,Monocyte_CD14:ENSG00000101751 +18,21071311,Monocyte_CD14:ENSG00000101752 +18,22939812,Monocyte_CD14:ENSG00000101773 +18,22970106,Monocyte_CD14:ENSG00000101773 +18,23477456,Monocyte_CD14:ENSG00000101782 +18,23480592,Monocyte_CD14:ENSG00000101782 +18,3278460,Monocyte_CD14:ENSG00000118680 +18,63367187,Monocyte_CD14:ENSG00000119537 +18,63367273,Monocyte_CD14:ENSG00000119537 +18,63389774,Monocyte_CD14:ENSG00000119541 +18,63423597,Monocyte_CD14:ENSG00000119541 +18,79819812,Monocyte_CD14:ENSG00000122490 +18,9339059,Monocyte_CD14:ENSG00000128791 +18,76863582,Monocyte_CD14:ENSG00000130856 +18,79403678,Monocyte_CD14:ENSG00000131196 +18,698311,Monocyte_CD14:ENSG00000132199 +18,712356,Monocyte_CD14:ENSG00000132199 +18,2857598,Monocyte_CD14:ENSG00000132205 +18,2910179,Monocyte_CD14:ENSG00000132205 +18,74500567,Monocyte_CD14:ENSG00000133313 +18,74511175,Monocyte_CD14:ENSG00000133313 +18,48906968,Monocyte_CD14:ENSG00000134030 +18,54244801,Monocyte_CD14:ENSG00000134046 +18,47222312,Monocyte_CD14:ENSG00000134049 +18,10524456,Monocyte_CD14:ENSG00000134265 +18,12518497,Monocyte_CD14:ENSG00000134278 +18,12569636,Monocyte_CD14:ENSG00000134278 +18,61990350,Monocyte_CD14:ENSG00000134444 +18,31175459,Monocyte_CD14:ENSG00000134755 +18,31207163,Monocyte_CD14:ENSG00000134755 +18,32084565,Monocyte_CD14:ENSG00000134758 +18,36129799,Monocyte_CD14:ENSG00000134759 +18,36781799,Monocyte_CD14:ENSG00000134779 +18,36828460,Monocyte_CD14:ENSG00000134779 +18,12383773,Monocyte_CD14:ENSG00000141385 +18,12130073,Monocyte_CD14:ENSG00000141391 +18,11981463,Monocyte_CD14:ENSG00000141401 +18,36169535,Monocyte_CD14:ENSG00000141425 +18,35533950,Monocyte_CD14:ENSG00000141429 +18,35614942,Monocyte_CD14:ENSG00000141429 +18,24395155,Monocyte_CD14:ENSG00000141447 +18,24493587,Monocyte_CD14:ENSG00000141447 +18,49375240,Monocyte_CD14:ENSG00000141627 +18,62148051,Monocyte_CD14:ENSG00000141655 +18,62477762,Monocyte_CD14:ENSG00000141664 +18,62480855,Monocyte_CD14:ENSG00000141664 +18,62524195,Monocyte_CD14:ENSG00000141664 +18,59883314,Monocyte_CD14:ENSG00000141682 +18,59911908,Monocyte_CD14:ENSG00000141682 +18,79970825,Monocyte_CD14:ENSG00000141759 +18,36829006,Monocyte_CD14:ENSG00000150477 +18,45901110,Monocyte_CD14:ENSG00000152223 +18,45925592,Monocyte_CD14:ENSG00000152229 +18,46080641,Monocyte_CD14:ENSG00000152234 +18,46086314,Monocyte_CD14:ENSG00000152240 +18,46104399,Monocyte_CD14:ENSG00000152240 +18,35471759,Monocyte_CD14:ENSG00000153391 +18,24445836,Monocyte_CD14:ENSG00000154059 +18,6393086,Monocyte_CD14:ENSG00000154655 +18,6406038,Monocyte_CD14:ENSG00000154655 +18,9554214,Monocyte_CD14:ENSG00000154845 +18,9597531,Monocyte_CD14:ENSG00000154845 +18,9624981,Monocyte_CD14:ENSG00000154845 +18,10245014,Monocyte_CD14:ENSG00000154856 +18,10292884,Monocyte_CD14:ENSG00000154856 +18,10438027,Monocyte_CD14:ENSG00000154856 +18,11900279,Monocyte_CD14:ENSG00000154889 +18,11905954,Monocyte_CD14:ENSG00000154889 +18,21799131,Monocyte_CD14:ENSG00000158201 +18,363442,Monocyte_CD14:ENSG00000158270 +18,394506,Monocyte_CD14:ENSG00000158270 +18,427348,Monocyte_CD14:ENSG00000158270 +18,470267,Monocyte_CD14:ENSG00000158270 +18,74291400,Monocyte_CD14:ENSG00000166347 +18,79032814,Monocyte_CD14:ENSG00000166377 +18,79150760,Monocyte_CD14:ENSG00000166377 +18,79174527,Monocyte_CD14:ENSG00000166377 +18,79254868,Monocyte_CD14:ENSG00000166377 +18,63952945,Monocyte_CD14:ENSG00000166401 +18,63983631,Monocyte_CD14:ENSG00000166401 +18,68677965,Monocyte_CD14:ENSG00000166479 +18,68699078,Monocyte_CD14:ENSG00000166479 +18,59139008,Monocyte_CD14:ENSG00000166562 +18,54403505,Monocyte_CD14:ENSG00000166845 +18,35044845,Monocyte_CD14:ENSG00000166974 +18,46585378,Monocyte_CD14:ENSG00000167210 +18,46588480,Monocyte_CD14:ENSG00000167210 +18,46884915,Monocyte_CD14:ENSG00000167216 +18,47189640,Monocyte_CD14:ENSG00000167220 +18,24039967,Monocyte_CD14:ENSG00000168234 +18,9709572,Monocyte_CD14:ENSG00000168461 +18,9710557,Monocyte_CD14:ENSG00000168461 +18,9775365,Monocyte_CD14:ENSG00000168461 +18,9777730,Monocyte_CD14:ENSG00000168461 +18,9782510,Monocyte_CD14:ENSG00000168461 +18,13199093,Monocyte_CD14:ENSG00000168675 +18,13511605,Monocyte_CD14:ENSG00000168675 +18,28131683,Monocyte_CD14:ENSG00000170558 +18,3826802,Monocyte_CD14:ENSG00000170579 +18,70422699,Monocyte_CD14:ENSG00000170677 +18,67516682,Monocyte_CD14:ENSG00000171451 +18,58781890,Monocyte_CD14:ENSG00000172175 +18,35379433,Monocyte_CD14:ENSG00000172466 +18,8019467,Monocyte_CD14:ENSG00000173482 +18,14112432,Monocyte_CD14:ENSG00000175322 +18,14132403,Monocyte_CD14:ENSG00000175322 +18,48002717,Monocyte_CD14:ENSG00000175387 +18,48227371,Monocyte_CD14:ENSG00000175387 +18,12304754,Monocyte_CD14:ENSG00000176014 +18,12313151,Monocyte_CD14:ENSG00000176014 +18,51213097,Monocyte_CD14:ENSG00000176624 +18,62170375,Monocyte_CD14:ENSG00000176641 +18,13671216,Monocyte_CD14:ENSG00000177150 +18,3595286,Monocyte_CD14:ENSG00000177337 +18,3448981,Monocyte_CD14:ENSG00000177426 +18,49489239,Monocyte_CD14:ENSG00000177576 +18,9116356,Monocyte_CD14:ENSG00000178127 +18,79819812,Monocyte_CD14:ENSG00000178342 +18,75202325,Monocyte_CD14:ENSG00000179981 +18,75257454,Monocyte_CD14:ENSG00000179981 +18,75204009,Monocyte_CD14:ENSG00000180011 +18,75208110,Monocyte_CD14:ENSG00000180011 +18,35398827,Monocyte_CD14:ENSG00000186496 +18,35377319,Monocyte_CD14:ENSG00000186814 +18,55535135,Monocyte_CD14:ENSG00000196628 +18,62190266,Monocyte_CD14:ENSG00000197563 +18,63845767,Monocyte_CD14:ENSG00000197632 +18,77011503,Monocyte_CD14:ENSG00000197971 +18,77132742,Monocyte_CD14:ENSG00000197971 +18,25360430,Monocyte_CD14:ENSG00000198795 +18,8622464,Monocyte_CD14:ENSG00000206418 +18,74593908,Monocyte_CD14:ENSG00000215421 +18,79917393,Monocyte_CD14:ENSG00000226742 +18,79965655,Monocyte_CD14:ENSG00000226742 +18,79965683,Monocyte_CD14:ENSG00000226742 +18,79967484,Monocyte_CD14:ENSG00000226742 +18,80025868,Monocyte_CD14:ENSG00000226742 +18,80074824,Monocyte_CD14:ENSG00000226742 +18,80085398,Monocyte_CD14:ENSG00000226742 +18,80088177,Monocyte_CD14:ENSG00000226742 +18,80153143,Monocyte_CD14:ENSG00000226742 +18,80216985,Monocyte_CD14:ENSG00000226742 +18,63908872,Monocyte_CD14:ENSG00000242550 +18,63916310,Monocyte_CD14:ENSG00000242550 +18,11851278,Monocyte_CD14:ENSG00000255112 +18,9620161,Monocyte_CD14:ENSG00000263627 +18,3826802,Monocyte_CD14:ENSG00000263724 +18,5223896,Monocyte_CD14:ENSG00000263753 +18,5229811,Monocyte_CD14:ENSG00000263753 +18,5247433,Monocyte_CD14:ENSG00000263753 +18,5249635,Monocyte_CD14:ENSG00000263753 +18,5249660,Monocyte_CD14:ENSG00000263753 +18,5253757,Monocyte_CD14:ENSG00000263753 +18,5287448,Monocyte_CD14:ENSG00000263753 +18,264330,Monocyte_CD14:ENSG00000263884 +18,49489239,Monocyte_CD14:ENSG00000263916 +18,74593908,Monocyte_CD14:ENSG00000264247 +18,394506,Monocyte_CD14:ENSG00000265477 +18,49340036,Monocyte_CD14:ENSG00000265681 +18,49507506,Monocyte_CD14:ENSG00000265681 +18,50273531,Monocyte_CD14:ENSG00000265681 +18,2251153,Monocyte_CD14:ENSG00000265907 +18,5452225,Monocyte_CD14:ENSG00000266288 +18,57630990,Monocyte_CD14:ENSG00000267040 +18,80034410,Monocyte_CD14:ENSG00000267127 +18,80048941,Monocyte_CD14:ENSG00000267270 +18,80153143,Monocyte_CD14:ENSG00000267270 +18,55803956,Monocyte_CD14:ENSG00000267325 +18,63368813,Monocyte_CD14:ENSG00000267390 +18,79032814,Monocyte_CD14:ENSG00000267655 +18,48881899,Monocyte_CD14:ENSG00000267764 +18,57630990,Monocyte_CD14:ENSG00000267787 +18,2916056,Monocyte_CD14:ENSG00000272625 +18,2935024,Monocyte_CD14:ENSG00000272625 +18,3247258,Monocyte_CD14:ENSG00000272688 +18,13517379,Monocyte_CD14:ENSG00000272746 +18,35272297,Monocyte_CD14:ENSG00000274184 +18,32048445,Monocyte_CD14:ENSG00000274275 +18,46786341,Monocyte_CD14:ENSG00000274776 +18,79703672,Monocyte_CD14:ENSG00000274828 +18,79716603,Monocyte_CD14:ENSG00000274828 +18,74500567,Monocyte_CD14:ENSG00000276934 +18,54266720,Monocyte_CD14:ENSG00000277324 +18,62504371,Monocyte_CD14:ENSG00000278017 +18,76801607,Monocyte_CD14:ENSG00000278107 +18,57590221,Monocyte_CD14:ENSG00000278703 +18,63965470,Monocyte_CD14:ENSG00000283667 +18,79522205,Monocyte_CD14:ENSG00000286296 +11,3356105,Monocyte_CD14:ENSG00000005801 +11,3375363,Monocyte_CD14:ENSG00000005801 +11,68010288,Monocyte_CD14:ENSG00000006534 +11,68011539,Monocyte_CD14:ENSG00000006534 +11,68016277,Monocyte_CD14:ENSG00000006534 +11,16242129,Monocyte_CD14:ENSG00000011405 +11,17046581,Monocyte_CD14:ENSG00000011405 +11,65248702,Monocyte_CD14:ENSG00000014138 +11,65180806,Monocyte_CD14:ENSG00000014216 +11,94478882,Monocyte_CD14:ENSG00000020922 +11,94551670,Monocyte_CD14:ENSG00000020922 +11,3139158,Monocyte_CD14:ENSG00000021762 +11,3157462,Monocyte_CD14:ENSG00000021762 +11,123413512,Monocyte_CD14:ENSG00000023171 +11,123431988,Monocyte_CD14:ENSG00000023171 +11,123459685,Monocyte_CD14:ENSG00000023171 +11,123465774,Monocyte_CD14:ENSG00000023171 +11,123474251,Monocyte_CD14:ENSG00000023171 +11,499944,Monocyte_CD14:ENSG00000023191 +11,510031,Monocyte_CD14:ENSG00000023191 +11,517369,Monocyte_CD14:ENSG00000023191 +11,47317035,Monocyte_CD14:ENSG00000025434 +11,47343648,Monocyte_CD14:ENSG00000025434 +11,35141855,Monocyte_CD14:ENSG00000026508 +11,35228123,Monocyte_CD14:ENSG00000026508 +11,35311858,Monocyte_CD14:ENSG00000026508 +11,47756368,Monocyte_CD14:ENSG00000030066 +11,113590995,Monocyte_CD14:ENSG00000048028 +11,114085248,Monocyte_CD14:ENSG00000048028 +11,77858403,Monocyte_CD14:ENSG00000048649 +11,32091022,Monocyte_CD14:ENSG00000049449 +11,6203525,Monocyte_CD14:ENSG00000051009 +11,6216443,Monocyte_CD14:ENSG00000051009 +11,43521251,Monocyte_CD14:ENSG00000052841 +11,43934233,Monocyte_CD14:ENSG00000052841 +11,2476903,Monocyte_CD14:ENSG00000053918 +11,73429093,Monocyte_CD14:ENSG00000054967 +11,32853889,Monocyte_CD14:ENSG00000060749 +11,32892577,Monocyte_CD14:ENSG00000060749 +11,75806714,Monocyte_CD14:ENSG00000062282 +11,124636616,Monocyte_CD14:ENSG00000064199 +11,2192028,Monocyte_CD14:ENSG00000064201 +11,2300420,Monocyte_CD14:ENSG00000064201 +11,30586586,Monocyte_CD14:ENSG00000066382 +11,456234,Monocyte_CD14:ENSG00000070047 +11,17273241,Monocyte_CD14:ENSG00000070081 +11,17276557,Monocyte_CD14:ENSG00000070081 +11,1629575,Monocyte_CD14:ENSG00000070985 +11,10541543,Monocyte_CD14:ENSG00000072952 +11,10550044,Monocyte_CD14:ENSG00000072952 +11,10555304,Monocyte_CD14:ENSG00000072952 +11,85946712,Monocyte_CD14:ENSG00000073921 +11,86216910,Monocyte_CD14:ENSG00000074266 +11,108127399,Monocyte_CD14:ENSG00000075239 +11,95775873,Monocyte_CD14:ENSG00000077458 +11,95915897,Monocyte_CD14:ENSG00000077458 +11,74658050,Monocyte_CD14:ENSG00000077514 +11,76856906,Monocyte_CD14:ENSG00000078124 +11,76885460,Monocyte_CD14:ENSG00000078124 +11,1253876,Monocyte_CD14:ENSG00000078902 +11,67475260,Monocyte_CD14:ENSG00000084207 +11,67575109,Monocyte_CD14:ENSG00000084207 +11,67584060,Monocyte_CD14:ENSG00000084207 +11,67604074,Monocyte_CD14:ENSG00000084207 +11,130067206,Monocyte_CD14:ENSG00000084234 +11,33382056,Monocyte_CD14:ENSG00000085063 +11,33727411,Monocyte_CD14:ENSG00000085063 +11,33728251,Monocyte_CD14:ENSG00000085063 +11,33736224,Monocyte_CD14:ENSG00000085063 +11,44558521,Monocyte_CD14:ENSG00000085117 +11,44570719,Monocyte_CD14:ENSG00000085117 +11,44619622,Monocyte_CD14:ENSG00000085117 +11,95775873,Monocyte_CD14:ENSG00000087053 +11,77792752,Monocyte_CD14:ENSG00000087884 +11,62640929,Monocyte_CD14:ENSG00000089597 +11,118781860,Monocyte_CD14:ENSG00000095139 +11,614864,Monocyte_CD14:ENSG00000099834 +11,499944,Monocyte_CD14:ENSG00000099849 +11,20366551,Monocyte_CD14:ENSG00000109854 +11,88318708,Monocyte_CD14:ENSG00000109861 +11,88383635,Monocyte_CD14:ENSG00000109861 +11,88435226,Monocyte_CD14:ENSG00000109861 +11,47756368,Monocyte_CD14:ENSG00000109920 +11,121282746,Monocyte_CD14:ENSG00000109929 +11,121293341,Monocyte_CD14:ENSG00000109929 +11,122877843,Monocyte_CD14:ENSG00000109943 +11,122933425,Monocyte_CD14:ENSG00000109943 +11,122877843,Monocyte_CD14:ENSG00000109944 +11,122933425,Monocyte_CD14:ENSG00000109944 +11,124058638,Monocyte_CD14:ENSG00000110002 +11,64227830,Monocyte_CD14:ENSG00000110011 +11,65037218,Monocyte_CD14:ENSG00000110025 +11,58472280,Monocyte_CD14:ENSG00000110031 +11,59200103,Monocyte_CD14:ENSG00000110042 +11,64886706,Monocyte_CD14:ENSG00000110047 +11,67980566,Monocyte_CD14:ENSG00000110057 +11,125888857,Monocyte_CD14:ENSG00000110060 +11,126304269,Monocyte_CD14:ENSG00000110063 +11,126330195,Monocyte_CD14:ENSG00000110063 +11,126260337,Monocyte_CD14:ENSG00000110074 +11,60173027,Monocyte_CD14:ENSG00000110077 +11,60179911,Monocyte_CD14:ENSG00000110077 +11,60248264,Monocyte_CD14:ENSG00000110077 +11,60252639,Monocyte_CD14:ENSG00000110077 +11,60252639,Monocyte_CD14:ENSG00000110079 +11,60280507,Monocyte_CD14:ENSG00000110079 +11,60287475,Monocyte_CD14:ENSG00000110079 +11,60895937,Monocyte_CD14:ENSG00000110107 +11,60847403,Monocyte_CD14:ENSG00000110108 +11,90237290,Monocyte_CD14:ENSG00000110172 +11,71787088,Monocyte_CD14:ENSG00000110200 +11,72134050,Monocyte_CD14:ENSG00000110200 +11,72141080,Monocyte_CD14:ENSG00000110200 +11,72133929,Monocyte_CD14:ENSG00000110203 +11,72135638,Monocyte_CD14:ENSG00000110203 +11,72139110,Monocyte_CD14:ENSG00000110203 +11,72141080,Monocyte_CD14:ENSG00000110203 +11,94128854,Monocyte_CD14:ENSG00000110218 +11,73307368,Monocyte_CD14:ENSG00000110237 +11,117312934,Monocyte_CD14:ENSG00000110274 +11,117325719,Monocyte_CD14:ENSG00000110274 +11,10498824,Monocyte_CD14:ENSG00000110315 +11,10508975,Monocyte_CD14:ENSG00000110315 +11,10541133,Monocyte_CD14:ENSG00000110315 +11,10602814,Monocyte_CD14:ENSG00000110315 +11,10623494,Monocyte_CD14:ENSG00000110315 +11,10638342,Monocyte_CD14:ENSG00000110315 +11,10918412,Monocyte_CD14:ENSG00000110321 +11,10933771,Monocyte_CD14:ENSG00000110321 +11,117988914,Monocyte_CD14:ENSG00000110324 +11,118007863,Monocyte_CD14:ENSG00000110324 +11,118808678,Monocyte_CD14:ENSG00000110367 +11,119225416,Monocyte_CD14:ENSG00000110395 +11,119304365,Monocyte_CD14:ENSG00000110395 +11,33117873,Monocyte_CD14:ENSG00000110422 +11,33199119,Monocyte_CD14:ENSG00000110422 +11,34863963,Monocyte_CD14:ENSG00000110435 +11,36300649,Monocyte_CD14:ENSG00000110442 +11,60952133,Monocyte_CD14:ENSG00000110446 +11,44066439,Monocyte_CD14:ENSG00000110455 +11,47223594,Monocyte_CD14:ENSG00000110514 +11,47285079,Monocyte_CD14:ENSG00000110514 +11,47756368,Monocyte_CD14:ENSG00000110536 +11,63943977,Monocyte_CD14:ENSG00000110583 +11,2902596,Monocyte_CD14:ENSG00000110628 +11,2915092,Monocyte_CD14:ENSG00000110628 +11,2921363,Monocyte_CD14:ENSG00000110628 +11,2305484,Monocyte_CD14:ENSG00000110651 +11,2378019,Monocyte_CD14:ENSG00000110651 +11,107849599,Monocyte_CD14:ENSG00000110660 +11,2192028,Monocyte_CD14:ENSG00000110665 +11,2296721,Monocyte_CD14:ENSG00000110665 +11,2299837,Monocyte_CD14:ENSG00000110665 +11,2305484,Monocyte_CD14:ENSG00000110665 +11,16598649,Monocyte_CD14:ENSG00000110696 +11,17046383,Monocyte_CD14:ENSG00000110700 +11,17099639,Monocyte_CD14:ENSG00000110700 +11,17102306,Monocyte_CD14:ENSG00000110700 +11,68032459,Monocyte_CD14:ENSG00000110717 +11,68037138,Monocyte_CD14:ENSG00000110717 +11,68037138,Monocyte_CD14:ENSG00000110719 +11,68040649,Monocyte_CD14:ENSG00000110719 +11,68138514,Monocyte_CD14:ENSG00000110721 +11,108589953,Monocyte_CD14:ENSG00000110723 +11,18311700,Monocyte_CD14:ENSG00000110756 +11,18301970,Monocyte_CD14:ENSG00000110768 +11,1756587,Monocyte_CD14:ENSG00000117984 +11,1762527,Monocyte_CD14:ENSG00000117984 +11,1772233,Monocyte_CD14:ENSG00000117984 +11,1852991,Monocyte_CD14:ENSG00000117984 +11,119005503,Monocyte_CD14:ENSG00000118181 +11,119018363,Monocyte_CD14:ENSG00000118181 +11,74931506,Monocyte_CD14:ENSG00000118363 +11,130858304,Monocyte_CD14:ENSG00000120451 +11,130910700,Monocyte_CD14:ENSG00000120451 +11,130916617,Monocyte_CD14:ENSG00000120451 +11,5597187,Monocyte_CD14:ENSG00000121236 +11,45823599,Monocyte_CD14:ENSG00000121653 +11,45844213,Monocyte_CD14:ENSG00000121671 +11,33069785,Monocyte_CD14:ENSG00000121690 +11,34401897,Monocyte_CD14:ENSG00000121691 +11,34467282,Monocyte_CD14:ENSG00000121691 +11,34467283,Monocyte_CD14:ENSG00000121691 +11,88175178,Monocyte_CD14:ENSG00000123892 +11,88296197,Monocyte_CD14:ENSG00000123892 +11,62427887,Monocyte_CD14:ENSG00000124942 +11,62433263,Monocyte_CD14:ENSG00000124942 +11,62457648,Monocyte_CD14:ENSG00000124942 +11,62567436,Monocyte_CD14:ENSG00000124942 +11,64311471,Monocyte_CD14:ENSG00000126432 +11,64317676,Monocyte_CD14:ENSG00000126432 +11,14428630,Monocyte_CD14:ENSG00000129083 +11,18084815,Monocyte_CD14:ENSG00000129167 +11,2812197,Monocyte_CD14:ENSG00000129757 +11,1839995,Monocyte_CD14:ENSG00000130592 +11,1852991,Monocyte_CD14:ENSG00000130592 +11,1853615,Monocyte_CD14:ENSG00000130592 +11,1861944,Monocyte_CD14:ENSG00000130592 +11,1908971,Monocyte_CD14:ENSG00000130595 +11,1840530,Monocyte_CD14:ENSG00000130598 +11,1844782,Monocyte_CD14:ENSG00000130598 +11,1852991,Monocyte_CD14:ENSG00000130598 +11,1853174,Monocyte_CD14:ENSG00000130598 +11,4395368,Monocyte_CD14:ENSG00000132109 +11,5668773,Monocyte_CD14:ENSG00000132256 +11,5701416,Monocyte_CD14:ENSG00000132274 +11,6481897,Monocyte_CD14:ENSG00000132286 +11,68900969,Monocyte_CD14:ENSG00000132740 +11,68743016,Monocyte_CD14:ENSG00000132749 +11,63507630,Monocyte_CD14:ENSG00000133317 +11,63671500,Monocyte_CD14:ENSG00000133318 +11,63685495,Monocyte_CD14:ENSG00000133318 +11,63507630,Monocyte_CD14:ENSG00000133321 +11,9631370,Monocyte_CD14:ENSG00000133789 +11,9645745,Monocyte_CD14:ENSG00000133789 +11,9738371,Monocyte_CD14:ENSG00000133789 +11,13272721,Monocyte_CD14:ENSG00000133794 +11,13277477,Monocyte_CD14:ENSG00000133794 +11,13277932,Monocyte_CD14:ENSG00000133794 +11,10401094,Monocyte_CD14:ENSG00000133805 +11,10479757,Monocyte_CD14:ENSG00000133805 +11,10501972,Monocyte_CD14:ENSG00000133805 +11,10514244,Monocyte_CD14:ENSG00000133805 +11,12097921,Monocyte_CD14:ENSG00000133816 +11,12119061,Monocyte_CD14:ENSG00000133816 +11,65352920,Monocyte_CD14:ENSG00000133884 +11,18383944,Monocyte_CD14:ENSG00000134333 +11,18394959,Monocyte_CD14:ENSG00000134333 +11,47354812,Monocyte_CD14:ENSG00000134571 +11,47278604,Monocyte_CD14:ENSG00000134574 +11,47312178,Monocyte_CD14:ENSG00000134574 +11,48168722,Monocyte_CD14:ENSG00000134574 +11,47265733,Monocyte_CD14:ENSG00000134575 +11,47278604,Monocyte_CD14:ENSG00000134575 +11,47312178,Monocyte_CD14:ENSG00000134575 +11,94600942,Monocyte_CD14:ENSG00000134627 +11,61665813,Monocyte_CD14:ENSG00000134780 +11,57416686,Monocyte_CD14:ENSG00000134802 +11,57516515,Monocyte_CD14:ENSG00000134809 +11,57536819,Monocyte_CD14:ENSG00000134809 +11,61828092,Monocyte_CD14:ENSG00000134824 +11,61792563,Monocyte_CD14:ENSG00000134825 +11,61792596,Monocyte_CD14:ENSG00000134825 +11,61792609,Monocyte_CD14:ENSG00000134825 +11,129333049,Monocyte_CD14:ENSG00000134909 +11,125593432,Monocyte_CD14:ENSG00000134910 +11,125609938,Monocyte_CD14:ENSG00000134910 +11,125065461,Monocyte_CD14:ENSG00000134955 +11,125090592,Monocyte_CD14:ENSG00000134955 +11,36392384,Monocyte_CD14:ENSG00000135362 +11,36409298,Monocyte_CD14:ENSG00000135362 +11,34081660,Monocyte_CD14:ENSG00000135372 +11,34621121,Monocyte_CD14:ENSG00000135373 +11,32581739,Monocyte_CD14:ENSG00000135378 +11,77175260,Monocyte_CD14:ENSG00000137474 +11,75340892,Monocyte_CD14:ENSG00000137486 +11,75381665,Monocyte_CD14:ENSG00000137486 +11,76331243,Monocyte_CD14:ENSG00000137492 +11,76337483,Monocyte_CD14:ENSG00000137492 +11,83672197,Monocyte_CD14:ENSG00000137494 +11,71865354,Monocyte_CD14:ENSG00000137496 +11,71865872,Monocyte_CD14:ENSG00000137497 +11,85856793,Monocyte_CD14:ENSG00000137501 +11,82779232,Monocyte_CD14:ENSG00000137509 +11,82866013,Monocyte_CD14:ENSG00000137509 +11,82871092,Monocyte_CD14:ENSG00000137509 +11,82880150,Monocyte_CD14:ENSG00000137509 +11,78574830,Monocyte_CD14:ENSG00000137513 +11,116770312,Monocyte_CD14:ENSG00000137656 +11,103077863,Monocyte_CD14:ENSG00000137692 +11,120229082,Monocyte_CD14:ENSG00000137709 +11,110298163,Monocyte_CD14:ENSG00000137710 +11,110359148,Monocyte_CD14:ENSG00000137710 +11,110376298,Monocyte_CD14:ENSG00000137710 +11,111781599,Monocyte_CD14:ENSG00000137713 +11,111797895,Monocyte_CD14:ENSG00000137713 +11,110376298,Monocyte_CD14:ENSG00000137714 +11,110380543,Monocyte_CD14:ENSG00000137714 +11,110402942,Monocyte_CD14:ENSG00000137714 +11,111812418,Monocyte_CD14:ENSG00000137720 +11,117835952,Monocyte_CD14:ENSG00000137726 +11,117842172,Monocyte_CD14:ENSG00000137726 +11,105047790,Monocyte_CD14:ENSG00000137752 +11,105149901,Monocyte_CD14:ENSG00000137752 +11,104971653,Monocyte_CD14:ENSG00000137757 +11,244141,Monocyte_CD14:ENSG00000142082 +11,199256,Monocyte_CD14:ENSG00000142089 +11,315299,Monocyte_CD14:ENSG00000142089 +11,320166,Monocyte_CD14:ENSG00000142089 +11,320836,Monocyte_CD14:ENSG00000142089 +11,327334,Monocyte_CD14:ENSG00000142089 +11,260610,Monocyte_CD14:ENSG00000142102 +11,293001,Monocyte_CD14:ENSG00000142102 +11,295343,Monocyte_CD14:ENSG00000142102 +11,13517154,Monocyte_CD14:ENSG00000148925 +11,10056557,Monocyte_CD14:ENSG00000148926 +11,27582324,Monocyte_CD14:ENSG00000148943 +11,3803702,Monocyte_CD14:ENSG00000148985 +11,6897947,Monocyte_CD14:ENSG00000149054 +11,6927145,Monocyte_CD14:ENSG00000149054 +11,43830630,Monocyte_CD14:ENSG00000149084 +11,43833522,Monocyte_CD14:ENSG00000149084 +11,43856935,Monocyte_CD14:ENSG00000149084 +11,34860673,Monocyte_CD14:ENSG00000149089 +11,34876080,Monocyte_CD14:ENSG00000149089 +11,34890512,Monocyte_CD14:ENSG00000149089 +11,46797472,Monocyte_CD14:ENSG00000149091 +11,32610069,Monocyte_CD14:ENSG00000149100 +11,57695280,Monocyte_CD14:ENSG00000149131 +11,47955330,Monocyte_CD14:ENSG00000149177 +11,47997868,Monocyte_CD14:ENSG00000149177 +11,48218179,Monocyte_CD14:ENSG00000149177 +11,48546454,Monocyte_CD14:ENSG00000149177 +11,47164873,Monocyte_CD14:ENSG00000149182 +11,86254048,Monocyte_CD14:ENSG00000149196 +11,95307078,Monocyte_CD14:ENSG00000149212 +11,95089453,Monocyte_CD14:ENSG00000149218 +11,96382639,Monocyte_CD14:ENSG00000149231 +11,79139860,Monocyte_CD14:ENSG00000149256 +11,79380262,Monocyte_CD14:ENSG00000149256 +11,79381442,Monocyte_CD14:ENSG00000149256 +11,79403227,Monocyte_CD14:ENSG00000149256 +11,79408195,Monocyte_CD14:ENSG00000149256 +11,75583288,Monocyte_CD14:ENSG00000149257 +11,77990815,Monocyte_CD14:ENSG00000149262 +11,77995041,Monocyte_CD14:ENSG00000149262 +11,77403186,Monocyte_CD14:ENSG00000149269 +11,77498921,Monocyte_CD14:ENSG00000149269 +11,75399545,Monocyte_CD14:ENSG00000149273 +11,110095787,Monocyte_CD14:ENSG00000149289 +11,113317227,Monocyte_CD14:ENSG00000149292 +11,113336077,Monocyte_CD14:ENSG00000149292 +11,113781075,Monocyte_CD14:ENSG00000149305 +11,108223106,Monocyte_CD14:ENSG00000149308 +11,108223106,Monocyte_CD14:ENSG00000149311 +11,108225326,Monocyte_CD14:ENSG00000149311 +11,106098523,Monocyte_CD14:ENSG00000149313 +11,72031603,Monocyte_CD14:ENSG00000149357 +11,72134050,Monocyte_CD14:ENSG00000149357 +11,74079198,Monocyte_CD14:ENSG00000149380 +11,129832091,Monocyte_CD14:ENSG00000149418 +11,130148300,Monocyte_CD14:ENSG00000149418 +11,130159766,Monocyte_CD14:ENSG00000149418 +11,61828092,Monocyte_CD14:ENSG00000149485 +11,62614231,Monocyte_CD14:ENSG00000149499 +11,62164044,Monocyte_CD14:ENSG00000149503 +11,125594946,Monocyte_CD14:ENSG00000149547 +11,124954085,Monocyte_CD14:ENSG00000149548 +11,124954170,Monocyte_CD14:ENSG00000149548 +11,118257860,Monocyte_CD14:ENSG00000149573 +11,117191245,Monocyte_CD14:ENSG00000149577 +11,117191245,Monocyte_CD14:ENSG00000149591 +11,117203393,Monocyte_CD14:ENSG00000149591 +11,64278557,Monocyte_CD14:ENSG00000149743 +11,64227830,Monocyte_CD14:ENSG00000149781 +11,64400955,Monocyte_CD14:ENSG00000149782 +11,65248702,Monocyte_CD14:ENSG00000149798 +11,65121944,Monocyte_CD14:ENSG00000149806 +11,94958008,Monocyte_CD14:ENSG00000150316 +11,125102626,Monocyte_CD14:ENSG00000150433 +11,111936936,Monocyte_CD14:ENSG00000150764 +11,112142089,Monocyte_CD14:ENSG00000150782 +11,112197496,Monocyte_CD14:ENSG00000150782 +11,18587587,Monocyte_CD14:ENSG00000151116 +11,18698382,Monocyte_CD14:ENSG00000151117 +11,44066439,Monocyte_CD14:ENSG00000151348 +11,44095874,Monocyte_CD14:ENSG00000151348 +11,78095258,Monocyte_CD14:ENSG00000151366 +11,78114596,Monocyte_CD14:ENSG00000151366 +11,78138807,Monocyte_CD14:ENSG00000151366 +11,78183439,Monocyte_CD14:ENSG00000151366 +11,86672590,Monocyte_CD14:ENSG00000151376 +11,134252356,Monocyte_CD14:ENSG00000151498 +11,134253534,Monocyte_CD14:ENSG00000151500 +11,134267557,Monocyte_CD14:ENSG00000151500 +11,134267557,Monocyte_CD14:ENSG00000151502 +11,134223994,Monocyte_CD14:ENSG00000151503 +11,134267557,Monocyte_CD14:ENSG00000151503 +11,129826909,Monocyte_CD14:ENSG00000151715 +11,29559282,Monocyte_CD14:ENSG00000152219 +11,30272222,Monocyte_CD14:ENSG00000152219 +11,30312676,Monocyte_CD14:ENSG00000152219 +11,30916671,Monocyte_CD14:ENSG00000152219 +11,102452429,Monocyte_CD14:ENSG00000152558 +11,121053962,Monocyte_CD14:ENSG00000154114 +11,122661913,Monocyte_CD14:ENSG00000154127 +11,124893751,Monocyte_CD14:ENSG00000154134 +11,124732351,Monocyte_CD14:ENSG00000154146 +11,57562800,Monocyte_CD14:ENSG00000156587 +11,57695280,Monocyte_CD14:ENSG00000156599 +11,57680560,Monocyte_CD14:ENSG00000156603 +11,57712259,Monocyte_CD14:ENSG00000156603 +11,71787088,Monocyte_CD14:ENSG00000158483 +11,75480368,Monocyte_CD14:ENSG00000158555 +11,75504763,Monocyte_CD14:ENSG00000158555 +11,75517486,Monocyte_CD14:ENSG00000158555 +11,78119427,Monocyte_CD14:ENSG00000159063 +11,116851835,Monocyte_CD14:ENSG00000160584 +11,118257860,Monocyte_CD14:ENSG00000160588 +11,118185018,Monocyte_CD14:ENSG00000160593 +11,118214265,Monocyte_CD14:ENSG00000160593 +11,118234507,Monocyte_CD14:ENSG00000160593 +11,117215342,Monocyte_CD14:ENSG00000160613 +11,119057322,Monocyte_CD14:ENSG00000160695 +11,72422338,Monocyte_CD14:ENSG00000162129 +11,74706351,Monocyte_CD14:ENSG00000162139 +11,62277073,Monocyte_CD14:ENSG00000162174 +11,62317199,Monocyte_CD14:ENSG00000162174 +11,62327692,Monocyte_CD14:ENSG00000162174 +11,62690803,Monocyte_CD14:ENSG00000162222 +11,62806785,Monocyte_CD14:ENSG00000162231 +11,62847709,Monocyte_CD14:ENSG00000162231 +11,64391234,Monocyte_CD14:ENSG00000162302 +11,69030634,Monocyte_CD14:ENSG00000162341 +11,69092215,Monocyte_CD14:ENSG00000162341 +11,69102499,Monocyte_CD14:ENSG00000162341 +11,74397905,Monocyte_CD14:ENSG00000165434 +11,72217966,Monocyte_CD14:ENSG00000165457 +11,82880150,Monocyte_CD14:ENSG00000165490 +11,126208705,Monocyte_CD14:ENSG00000165526 +11,47354812,Monocyte_CD14:ENSG00000165916 +11,47430278,Monocyte_CD14:ENSG00000165916 +11,93497593,Monocyte_CD14:ENSG00000166002 +11,93523824,Monocyte_CD14:ENSG00000166002 +11,93691181,Monocyte_CD14:ENSG00000166004 +11,93720270,Monocyte_CD14:ENSG00000166012 +11,93730723,Monocyte_CD14:ENSG00000166012 +11,94685556,Monocyte_CD14:ENSG00000166025 +11,94729145,Monocyte_CD14:ENSG00000166025 +11,95821119,Monocyte_CD14:ENSG00000166037 +11,43913042,Monocyte_CD14:ENSG00000166199 +11,123735229,Monocyte_CD14:ENSG00000166261 +11,6606823,Monocyte_CD14:ENSG00000166333 +11,6606823,Monocyte_CD14:ENSG00000166337 +11,6612377,Monocyte_CD14:ENSG00000166340 +11,6612958,Monocyte_CD14:ENSG00000166340 +11,6612958,Monocyte_CD14:ENSG00000166341 +11,36620935,Monocyte_CD14:ENSG00000166352 +11,7521067,Monocyte_CD14:ENSG00000166387 +11,7586305,Monocyte_CD14:ENSG00000166387 +11,7594254,Monocyte_CD14:ENSG00000166387 +11,7594254,Monocyte_CD14:ENSG00000166394 +11,7622731,Monocyte_CD14:ENSG00000166394 +11,7670963,Monocyte_CD14:ENSG00000166394 +11,8169108,Monocyte_CD14:ENSG00000166405 +11,74931506,Monocyte_CD14:ENSG00000166435 +11,8683418,Monocyte_CD14:ENSG00000166436 +11,8682837,Monocyte_CD14:ENSG00000166441 +11,8683418,Monocyte_CD14:ENSG00000166441 +11,8683981,Monocyte_CD14:ENSG00000166441 +11,8687401,Monocyte_CD14:ENSG00000166441 +11,8912554,Monocyte_CD14:ENSG00000166452 +11,9319352,Monocyte_CD14:ENSG00000166471 +11,9525993,Monocyte_CD14:ENSG00000166478 +11,18101450,Monocyte_CD14:ENSG00000166788 +11,57655895,Monocyte_CD14:ENSG00000166793 +11,57680560,Monocyte_CD14:ENSG00000166793 +11,18410643,Monocyte_CD14:ENSG00000166796 +11,59145689,Monocyte_CD14:ENSG00000166801 +11,59760708,Monocyte_CD14:ENSG00000166900 +11,60391176,Monocyte_CD14:ENSG00000166927 +11,60548286,Monocyte_CD14:ENSG00000166927 +11,60384995,Monocyte_CD14:ENSG00000166928 +11,118409221,Monocyte_CD14:ENSG00000167283 +11,3900433,Monocyte_CD14:ENSG00000167323 +11,4094744,Monocyte_CD14:ENSG00000167325 +11,4610122,Monocyte_CD14:ENSG00000167333 +11,67568472,Monocyte_CD14:ENSG00000167792 +11,61167340,Monocyte_CD14:ENSG00000167987 +11,61976870,Monocyte_CD14:ENSG00000167995 +11,61966128,Monocyte_CD14:ENSG00000167996 +11,61975494,Monocyte_CD14:ENSG00000167996 +11,62706279,Monocyte_CD14:ENSG00000168000 +11,62720863,Monocyte_CD14:ENSG00000168000 +11,62762569,Monocyte_CD14:ENSG00000168002 +11,63814042,Monocyte_CD14:ENSG00000168005 +11,72793870,Monocyte_CD14:ENSG00000168010 +11,72826693,Monocyte_CD14:ENSG00000168010 +11,72882713,Monocyte_CD14:ENSG00000168010 +11,73988091,Monocyte_CD14:ENSG00000168014 +11,65561921,Monocyte_CD14:ENSG00000168056 +11,65028300,Monocyte_CD14:ENSG00000168060 +11,65039975,Monocyte_CD14:ENSG00000168061 +11,64311471,Monocyte_CD14:ENSG00000168071 +11,64342950,Monocyte_CD14:ENSG00000168071 +11,117131687,Monocyte_CD14:ENSG00000168092 +11,62787770,Monocyte_CD14:ENSG00000168569 +11,28314304,Monocyte_CD14:ENSG00000169519 +11,111619696,Monocyte_CD14:ENSG00000170145 +11,11926630,Monocyte_CD14:ENSG00000170242 +11,129853241,Monocyte_CD14:ENSG00000170322 +11,129895558,Monocyte_CD14:ENSG00000170322 +11,106071031,Monocyte_CD14:ENSG00000170903 +11,6012107,Monocyte_CD14:ENSG00000170955 +11,6069995,Monocyte_CD14:ENSG00000170955 +11,6203525,Monocyte_CD14:ENSG00000170955 +11,6320135,Monocyte_CD14:ENSG00000170955 +11,6320788,Monocyte_CD14:ENSG00000170955 +11,6322256,Monocyte_CD14:ENSG00000170955 +11,68262547,Monocyte_CD14:ENSG00000171067 +11,68266673,Monocyte_CD14:ENSG00000171067 +11,85648050,Monocyte_CD14:ENSG00000171202 +11,85648050,Monocyte_CD14:ENSG00000171204 +11,73290502,Monocyte_CD14:ENSG00000171631 +11,22210819,Monocyte_CD14:ENSG00000171714 +11,47453637,Monocyte_CD14:ENSG00000172247 +11,119096070,Monocyte_CD14:ENSG00000172269 +11,119140300,Monocyte_CD14:ENSG00000172273 +11,119121467,Monocyte_CD14:ENSG00000172367 +11,119121467,Monocyte_CD14:ENSG00000172375 +11,57680560,Monocyte_CD14:ENSG00000172409 +11,65880664,Monocyte_CD14:ENSG00000172500 +11,68227825,Monocyte_CD14:ENSG00000172531 +11,65883044,Monocyte_CD14:ENSG00000172638 +11,67467580,Monocyte_CD14:ENSG00000172663 +11,65857091,Monocyte_CD14:ENSG00000172757 +11,65880664,Monocyte_CD14:ENSG00000172803 +11,67254458,Monocyte_CD14:ENSG00000172830 +11,71452374,Monocyte_CD14:ENSG00000172890 +11,65681244,Monocyte_CD14:ENSG00000172922 +11,65717747,Monocyte_CD14:ENSG00000172922 +11,65880132,Monocyte_CD14:ENSG00000172922 +11,67289308,Monocyte_CD14:ENSG00000172932 +11,64311471,Monocyte_CD14:ENSG00000173113 +11,65622419,Monocyte_CD14:ENSG00000173327 +11,65587455,Monocyte_CD14:ENSG00000173442 +11,66856029,Monocyte_CD14:ENSG00000173621 +11,66849651,Monocyte_CD14:ENSG00000173715 +11,65277515,Monocyte_CD14:ENSG00000173825 +11,65347414,Monocyte_CD14:ENSG00000173825 +11,66581032,Monocyte_CD14:ENSG00000173992 +11,66568361,Monocyte_CD14:ENSG00000174080 +11,66441095,Monocyte_CD14:ENSG00000174516 +11,66335298,Monocyte_CD14:ENSG00000174684 +11,546988,Monocyte_CD14:ENSG00000174775 +11,66335298,Monocyte_CD14:ENSG00000174791 +11,66370963,Monocyte_CD14:ENSG00000174791 +11,66238852,Monocyte_CD14:ENSG00000174903 +11,66238852,Monocyte_CD14:ENSG00000174996 +11,66070208,Monocyte_CD14:ENSG00000175115 +11,46530368,Monocyte_CD14:ENSG00000175224 +11,44954385,Monocyte_CD14:ENSG00000175274 +11,44958832,Monocyte_CD14:ENSG00000175274 +11,65987340,Monocyte_CD14:ENSG00000175294 +11,66002942,Monocyte_CD14:ENSG00000175334 +11,8941217,Monocyte_CD14:ENSG00000175348 +11,8988587,Monocyte_CD14:ENSG00000175348 +11,8878847,Monocyte_CD14:ENSG00000175356 +11,7993327,Monocyte_CD14:ENSG00000175390 +11,67404014,Monocyte_CD14:ENSG00000175463 +11,67423978,Monocyte_CD14:ENSG00000175463 +11,67289308,Monocyte_CD14:ENSG00000175482 +11,67289308,Monocyte_CD14:ENSG00000175505 +11,73969731,Monocyte_CD14:ENSG00000175536 +11,74460771,Monocyte_CD14:ENSG00000175538 +11,74460927,Monocyte_CD14:ENSG00000175538 +11,74462167,Monocyte_CD14:ENSG00000175538 +11,66002942,Monocyte_CD14:ENSG00000175550 +11,73970302,Monocyte_CD14:ENSG00000175567 +11,73988091,Monocyte_CD14:ENSG00000175567 +11,65985833,Monocyte_CD14:ENSG00000175573 +11,73900304,Monocyte_CD14:ENSG00000175575 +11,73695379,Monocyte_CD14:ENSG00000175581 +11,73808161,Monocyte_CD14:ENSG00000175581 +11,73695379,Monocyte_CD14:ENSG00000175582 +11,73189476,Monocyte_CD14:ENSG00000175591 +11,65809332,Monocyte_CD14:ENSG00000175602 +11,65840087,Monocyte_CD14:ENSG00000175602 +11,65847991,Monocyte_CD14:ENSG00000175602 +11,66002942,Monocyte_CD14:ENSG00000175602 +11,67438507,Monocyte_CD14:ENSG00000175634 +11,33069785,Monocyte_CD14:ENSG00000176148 +11,63943977,Monocyte_CD14:ENSG00000176340 +11,63507630,Monocyte_CD14:ENSG00000176485 +11,63608018,Monocyte_CD14:ENSG00000176485 +11,63614551,Monocyte_CD14:ENSG00000176485 +11,63617979,Monocyte_CD14:ENSG00000176485 +11,65572664,Monocyte_CD14:ENSG00000176973 +11,689116,Monocyte_CD14:ENSG00000177042 +11,695854,Monocyte_CD14:ENSG00000177042 +11,19116438,Monocyte_CD14:ENSG00000177054 +11,3827143,Monocyte_CD14:ENSG00000177105 +11,10514244,Monocyte_CD14:ENSG00000177112 +11,711069,Monocyte_CD14:ENSG00000177156 +11,728365,Monocyte_CD14:ENSG00000177156 +11,772955,Monocyte_CD14:ENSG00000177156 +11,779931,Monocyte_CD14:ENSG00000177156 +11,810009,Monocyte_CD14:ENSG00000177600 +11,727310,Monocyte_CD14:ENSG00000177666 +11,827713,Monocyte_CD14:ENSG00000177685 +11,836166,Monocyte_CD14:ENSG00000177685 +11,830601,Monocyte_CD14:ENSG00000177697 +11,833728,Monocyte_CD14:ENSG00000177697 +11,834389,Monocyte_CD14:ENSG00000177697 +11,833728,Monocyte_CD14:ENSG00000177700 +11,840034,Monocyte_CD14:ENSG00000177700 +11,840224,Monocyte_CD14:ENSG00000177700 +11,842099,Monocyte_CD14:ENSG00000177700 +11,888150,Monocyte_CD14:ENSG00000177830 +11,225256,Monocyte_CD14:ENSG00000177951 +11,199256,Monocyte_CD14:ENSG00000177963 +11,200343,Monocyte_CD14:ENSG00000177963 +11,108767061,Monocyte_CD14:ENSG00000178105 +11,108509254,Monocyte_CD14:ENSG00000178202 +11,35946354,Monocyte_CD14:ENSG00000179241 +11,36233084,Monocyte_CD14:ENSG00000179241 +11,107928427,Monocyte_CD14:ENSG00000179331 +11,114394563,Monocyte_CD14:ENSG00000180425 +11,93183116,Monocyte_CD14:ENSG00000180773 +11,2901861,Monocyte_CD14:ENSG00000181649 +11,2904685,Monocyte_CD14:ENSG00000181649 +11,2928631,Monocyte_CD14:ENSG00000181649 +11,2977392,Monocyte_CD14:ENSG00000181649 +11,45805799,Monocyte_CD14:ENSG00000181830 +11,64391234,Monocyte_CD14:ENSG00000181908 +11,73824382,Monocyte_CD14:ENSG00000181924 +11,4395368,Monocyte_CD14:ENSG00000181963 +11,4458466,Monocyte_CD14:ENSG00000181963 +11,106077204,Monocyte_CD14:ENSG00000182359 +11,93744455,Monocyte_CD14:ENSG00000182919 +11,1012616,Monocyte_CD14:ENSG00000183020 +11,22625820,Monocyte_CD14:ENSG00000183161 +11,32656034,Monocyte_CD14:ENSG00000183242 +11,96318702,Monocyte_CD14:ENSG00000183340 +11,2300906,Monocyte_CD14:ENSG00000183734 +11,9312399,Monocyte_CD14:ENSG00000184014 +11,120225138,Monocyte_CD14:ENSG00000184232 +11,96382164,Monocyte_CD14:ENSG00000184384 +11,63663595,Monocyte_CD14:ENSG00000184743 +11,63671500,Monocyte_CD14:ENSG00000184743 +11,63476818,Monocyte_CD14:ENSG00000185085 +11,403545,Monocyte_CD14:ENSG00000185187 +11,406473,Monocyte_CD14:ENSG00000185187 +11,199256,Monocyte_CD14:ENSG00000185201 +11,270715,Monocyte_CD14:ENSG00000185201 +11,307036,Monocyte_CD14:ENSG00000185201 +11,308065,Monocyte_CD14:ENSG00000185201 +11,308716,Monocyte_CD14:ENSG00000185201 +11,325948,Monocyte_CD14:ENSG00000185201 +11,614864,Monocyte_CD14:ENSG00000185507 +11,536170,Monocyte_CD14:ENSG00000185522 +11,244141,Monocyte_CD14:ENSG00000185627 +11,262106,Monocyte_CD14:ENSG00000185627 +11,62787770,Monocyte_CD14:ENSG00000185670 +11,119005503,Monocyte_CD14:ENSG00000186166 +11,118929593,Monocyte_CD14:ENSG00000186174 +11,117312934,Monocyte_CD14:ENSG00000186318 +11,117314918,Monocyte_CD14:ENSG00000186318 +11,117325719,Monocyte_CD14:ENSG00000186318 +11,57408520,Monocyte_CD14:ENSG00000186652 +11,58650409,Monocyte_CD14:ENSG00000186660 +11,61398269,Monocyte_CD14:ENSG00000187049 +11,103106448,Monocyte_CD14:ENSG00000187240 +11,103484764,Monocyte_CD14:ENSG00000187240 +11,78193293,Monocyte_CD14:ENSG00000188997 +11,94600942,Monocyte_CD14:ENSG00000196371 +11,119023577,Monocyte_CD14:ENSG00000196655 +11,4388667,Monocyte_CD14:ENSG00000196778 +11,4401390,Monocyte_CD14:ENSG00000196778 +11,4410897,Monocyte_CD14:ENSG00000196778 +11,4454805,Monocyte_CD14:ENSG00000196778 +11,4539809,Monocyte_CD14:ENSG00000196778 +11,104910854,Monocyte_CD14:ENSG00000196954 +11,105149901,Monocyte_CD14:ENSG00000196954 +11,65039975,Monocyte_CD14:ENSG00000197136 +11,68859220,Monocyte_CD14:ENSG00000197345 +11,68900969,Monocyte_CD14:ENSG00000197345 +11,112179135,Monocyte_CD14:ENSG00000197580 +11,13658433,Monocyte_CD14:ENSG00000197601 +11,59216984,Monocyte_CD14:ENSG00000197629 +11,59223790,Monocyte_CD14:ENSG00000197629 +11,126190771,Monocyte_CD14:ENSG00000197798 +11,126260337,Monocyte_CD14:ENSG00000197798 +11,22824515,Monocyte_CD14:ENSG00000198168 +11,75806714,Monocyte_CD14:ENSG00000198382 +11,10788137,Monocyte_CD14:ENSG00000198730 +11,105034373,Monocyte_CD14:ENSG00000204397 +11,105116838,Monocyte_CD14:ENSG00000204397 +11,105149901,Monocyte_CD14:ENSG00000204397 +11,62690803,Monocyte_CD14:ENSG00000204922 +11,72208328,Monocyte_CD14:ENSG00000204971 +11,27500196,Monocyte_CD14:ENSG00000205213 +11,9359374,Monocyte_CD14:ENSG00000205339 +11,2992766,Monocyte_CD14:ENSG00000205531 +11,2994153,Monocyte_CD14:ENSG00000205531 +11,58621817,Monocyte_CD14:ENSG00000211450 +11,65623008,Monocyte_CD14:ENSG00000213445 +11,57680560,Monocyte_CD14:ENSG00000213593 +11,1852991,Monocyte_CD14:ENSG00000214026 +11,1956322,Monocyte_CD14:ENSG00000214026 +11,833728,Monocyte_CD14:ENSG00000214063 +11,840363,Monocyte_CD14:ENSG00000214063 +11,842775,Monocyte_CD14:ENSG00000214063 +11,72781831,Monocyte_CD14:ENSG00000214530 +11,60252639,Monocyte_CD14:ENSG00000214787 +11,61918864,Monocyte_CD14:ENSG00000221968 +11,117012828,Monocyte_CD14:ENSG00000224077 +11,61194370,Monocyte_CD14:ENSG00000229183 +11,1852991,Monocyte_CD14:ENSG00000229671 +11,1908971,Monocyte_CD14:ENSG00000229671 +11,61194370,Monocyte_CD14:ENSG00000229859 +11,64391234,Monocyte_CD14:ENSG00000231680 +11,64395830,Monocyte_CD14:ENSG00000231680 +11,130889328,Monocyte_CD14:ENSG00000233220 +11,64340005,Monocyte_CD14:ENSG00000236935 +11,64344456,Monocyte_CD14:ENSG00000236935 +11,1753436,Monocyte_CD14:ENSG00000244242 +11,124808045,Monocyte_CD14:ENSG00000245498 +11,65423737,Monocyte_CD14:ENSG00000245532 +11,65443921,Monocyte_CD14:ENSG00000245532 +11,65445498,Monocyte_CD14:ENSG00000245532 +11,65488861,Monocyte_CD14:ENSG00000245532 +11,82358354,Monocyte_CD14:ENSG00000245832 +11,82979521,Monocyte_CD14:ENSG00000246067 +11,83072772,Monocyte_CD14:ENSG00000246067 +11,83073274,Monocyte_CD14:ENSG00000246067 +11,115707780,Monocyte_CD14:ENSG00000246100 +11,115737640,Monocyte_CD14:ENSG00000246100 +11,78142850,Monocyte_CD14:ENSG00000246174 +11,78209287,Monocyte_CD14:ENSG00000246174 +11,86277454,Monocyte_CD14:ENSG00000246523 +11,86873235,Monocyte_CD14:ENSG00000246523 +11,70288713,Monocyte_CD14:ENSG00000246889 +11,10861044,Monocyte_CD14:ENSG00000247271 +11,119191977,Monocyte_CD14:ENSG00000248712 +11,833728,Monocyte_CD14:ENSG00000250397 +11,68866083,Monocyte_CD14:ENSG00000250508 +11,68900969,Monocyte_CD14:ENSG00000250508 +11,94176374,Monocyte_CD14:ENSG00000250519 +11,35215865,Monocyte_CD14:ENSG00000251194 +11,7505839,Monocyte_CD14:ENSG00000251364 +11,12989420,Monocyte_CD14:ENSG00000251381 +11,65487833,Monocyte_CD14:ENSG00000251562 +11,65503659,Monocyte_CD14:ENSG00000251562 +11,324170,Monocyte_CD14:ENSG00000251661 +11,9430253,Monocyte_CD14:ENSG00000254397 +11,65728100,Monocyte_CD14:ENSG00000254470 +11,59731482,Monocyte_CD14:ENSG00000254477 +11,70365468,Monocyte_CD14:ENSG00000254484 +11,117835952,Monocyte_CD14:ENSG00000254528 +11,117836227,Monocyte_CD14:ENSG00000254528 +11,65180806,Monocyte_CD14:ENSG00000254614 +11,71457027,Monocyte_CD14:ENSG00000254682 +11,62567436,Monocyte_CD14:ENSG00000254772 +11,13709388,Monocyte_CD14:ENSG00000254791 +11,2902596,Monocyte_CD14:ENSG00000254827 +11,74549051,Monocyte_CD14:ENSG00000254837 +11,8941217,Monocyte_CD14:ENSG00000254860 +11,8966536,Monocyte_CD14:ENSG00000254860 +11,93720270,Monocyte_CD14:ENSG00000254911 +11,74455233,Monocyte_CD14:ENSG00000254928 +11,60114088,Monocyte_CD14:ENSG00000254952 +11,60160949,Monocyte_CD14:ENSG00000254952 +11,66551842,Monocyte_CD14:ENSG00000254986 +11,67968118,Monocyte_CD14:ENSG00000255031 +11,59713496,Monocyte_CD14:ENSG00000255139 +11,44066439,Monocyte_CD14:ENSG00000255165 +11,47383577,Monocyte_CD14:ENSG00000255197 +11,47762062,Monocyte_CD14:ENSG00000255197 +11,105090233,Monocyte_CD14:ENSG00000255221 +11,780321,Monocyte_CD14:ENSG00000255284 +11,327334,Monocyte_CD14:ENSG00000255328 +11,332795,Monocyte_CD14:ENSG00000255328 +11,76629744,Monocyte_CD14:ENSG00000255363 +11,118615724,Monocyte_CD14:ENSG00000255422 +11,118700627,Monocyte_CD14:ENSG00000255422 +11,118701558,Monocyte_CD14:ENSG00000255422 +11,118709639,Monocyte_CD14:ENSG00000255422 +11,118749036,Monocyte_CD14:ENSG00000255422 +11,62426509,Monocyte_CD14:ENSG00000255446 +11,130910700,Monocyte_CD14:ENSG00000255455 +11,9935777,Monocyte_CD14:ENSG00000255476 +11,66485912,Monocyte_CD14:ENSG00000255517 +11,94644414,Monocyte_CD14:ENSG00000255666 +11,119057322,Monocyte_CD14:ENSG00000256269 +11,119074792,Monocyte_CD14:ENSG00000256269 +11,119086647,Monocyte_CD14:ENSG00000256269 +11,73307368,Monocyte_CD14:ENSG00000256448 +11,61194370,Monocyte_CD14:ENSG00000256713 +11,73337634,Monocyte_CD14:ENSG00000257038 +11,5645434,Monocyte_CD14:ENSG00000258659 +11,65561921,Monocyte_CD14:ENSG00000260233 +11,73189476,Monocyte_CD14:ENSG00000260401 +11,73242795,Monocyte_CD14:ENSG00000260401 +11,107265718,Monocyte_CD14:ENSG00000261098 +11,107267001,Monocyte_CD14:ENSG00000261098 +11,107314132,Monocyte_CD14:ENSG00000261098 +11,95062591,Monocyte_CD14:ENSG00000263465 +11,6203525,Monocyte_CD14:ENSG00000267940 +11,77498921,Monocyte_CD14:ENSG00000268635 +11,64778919,Monocyte_CD14:ENSG00000269038 +11,83192036,Monocyte_CD14:ENSG00000269939 +11,113317227,Monocyte_CD14:ENSG00000270179 +11,119080932,Monocyte_CD14:ENSG00000272186 +11,118798469,Monocyte_CD14:ENSG00000278376 +11,33069785,Monocyte_CD14:ENSG00000280798 +11,43856935,Monocyte_CD14:ENSG00000283375 +11,1852991,Monocyte_CD14:ENSG00000283787 +11,65672578,Monocyte_CD14:ENSG00000285533 +11,65681244,Monocyte_CD14:ENSG00000285533 +11,46032479,Monocyte_CD14:ENSG00000285658 +11,108112369,Monocyte_CD14:ENSG00000285696 +8,133456465,Monocyte_CD14:ENSG00000008513 +8,56125450,Monocyte_CD14:ENSG00000008988 +8,143551386,Monocyte_CD14:ENSG00000014164 +8,37795241,Monocyte_CD14:ENSG00000020181 +8,37798665,Monocyte_CD14:ENSG00000020181 +8,37821291,Monocyte_CD14:ENSG00000020181 +8,141291925,Monocyte_CD14:ENSG00000022567 +8,141327691,Monocyte_CD14:ENSG00000022567 +8,52788864,Monocyte_CD14:ENSG00000023287 +8,41679800,Monocyte_CD14:ENSG00000029534 +8,100213070,Monocyte_CD14:ENSG00000034677 +8,58592819,Monocyte_CD14:ENSG00000035681 +8,2133269,Monocyte_CD14:ENSG00000036448 +8,20175596,Monocyte_CD14:ENSG00000036565 +8,16187070,Monocyte_CD14:ENSG00000038945 +8,16339783,Monocyte_CD14:ENSG00000038945 +8,16547704,Monocyte_CD14:ENSG00000038945 +8,73734800,Monocyte_CD14:ENSG00000040341 +8,132847626,Monocyte_CD14:ENSG00000042832 +8,24331331,Monocyte_CD14:ENSG00000042980 +8,24381326,Monocyte_CD14:ENSG00000042980 +8,24530026,Monocyte_CD14:ENSG00000042980 +8,134322315,Monocyte_CD14:ENSG00000066827 +8,65643952,Monocyte_CD14:ENSG00000066855 +8,71006335,Monocyte_CD14:ENSG00000067167 +8,42332922,Monocyte_CD14:ENSG00000070501 +8,42152948,Monocyte_CD14:ENSG00000070718 +8,100722119,Monocyte_CD14:ENSG00000070756 +8,100736689,Monocyte_CD14:ENSG00000070756 +8,144386331,Monocyte_CD14:ENSG00000071894 +8,80171625,Monocyte_CD14:ENSG00000076554 +8,81074718,Monocyte_CD14:ENSG00000076641 +8,81128982,Monocyte_CD14:ENSG00000076641 +8,81129556,Monocyte_CD14:ENSG00000076641 +8,81154419,Monocyte_CD14:ENSG00000076641 +8,38238781,Monocyte_CD14:ENSG00000077782 +8,38466175,Monocyte_CD14:ENSG00000077782 +8,38466247,Monocyte_CD14:ENSG00000077782 +8,17936433,Monocyte_CD14:ENSG00000078674 +8,11785036,Monocyte_CD14:ENSG00000079459 +8,42009894,Monocyte_CD14:ENSG00000083168 +8,86513963,Monocyte_CD14:ENSG00000085719 +8,86567846,Monocyte_CD14:ENSG00000085719 +8,6507841,Monocyte_CD14:ENSG00000091879 +8,26576370,Monocyte_CD14:ENSG00000092964 +8,17155690,Monocyte_CD14:ENSG00000104219 +8,17157019,Monocyte_CD14:ENSG00000104219 +8,85548224,Monocyte_CD14:ENSG00000104267 +8,85850879,Monocyte_CD14:ENSG00000104267 +8,85854708,Monocyte_CD14:ENSG00000104267 +8,85916182,Monocyte_CD14:ENSG00000104267 +8,28492779,Monocyte_CD14:ENSG00000104290 +8,89784141,Monocyte_CD14:ENSG00000104312 +8,96347281,Monocyte_CD14:ENSG00000104324 +8,96735735,Monocyte_CD14:ENSG00000104324 +8,97036360,Monocyte_CD14:ENSG00000104324 +8,97108614,Monocyte_CD14:ENSG00000104324 +8,90000188,Monocyte_CD14:ENSG00000104325 +8,90005986,Monocyte_CD14:ENSG00000104325 +8,56930121,Monocyte_CD14:ENSG00000104331 +8,56988910,Monocyte_CD14:ENSG00000104331 +8,97775353,Monocyte_CD14:ENSG00000104341 +8,73857456,Monocyte_CD14:ENSG00000104343 +8,98293311,Monocyte_CD14:ENSG00000104361 +8,99017563,Monocyte_CD14:ENSG00000104375 +8,74421084,Monocyte_CD14:ENSG00000104381 +8,60559280,Monocyte_CD14:ENSG00000104388 +8,108169666,Monocyte_CD14:ENSG00000104408 +8,108576098,Monocyte_CD14:ENSG00000104412 +8,133216687,Monocyte_CD14:ENSG00000104419 +8,133279661,Monocyte_CD14:ENSG00000104419 +8,133287684,Monocyte_CD14:ENSG00000104419 +8,78663569,Monocyte_CD14:ENSG00000104427 +8,78899904,Monocyte_CD14:ENSG00000104432 +8,65810366,Monocyte_CD14:ENSG00000104442 +8,115585182,Monocyte_CD14:ENSG00000104447 +8,100206464,Monocyte_CD14:ENSG00000104450 +8,100212893,Monocyte_CD14:ENSG00000104450 +8,140515626,Monocyte_CD14:ENSG00000104472 +8,140540365,Monocyte_CD14:ENSG00000104472 +8,141004870,Monocyte_CD14:ENSG00000104472 +8,101446037,Monocyte_CD14:ENSG00000104490 +8,81841459,Monocyte_CD14:ENSG00000104497 +8,81862762,Monocyte_CD14:ENSG00000104497 +8,141924477,Monocyte_CD14:ENSG00000104499 +8,102429537,Monocyte_CD14:ENSG00000104517 +8,143558336,Monocyte_CD14:ENSG00000104518 +8,143560774,Monocyte_CD14:ENSG00000104518 +8,143560999,Monocyte_CD14:ENSG00000104518 +8,143614555,Monocyte_CD14:ENSG00000104522 +8,143496130,Monocyte_CD14:ENSG00000104529 +8,143595755,Monocyte_CD14:ENSG00000104529 +8,19807792,Monocyte_CD14:ENSG00000104613 +8,9026364,Monocyte_CD14:ENSG00000104626 +8,11216069,Monocyte_CD14:ENSG00000104643 +8,11248020,Monocyte_CD14:ENSG00000104643 +8,30120082,Monocyte_CD14:ENSG00000104660 +8,30120082,Monocyte_CD14:ENSG00000104671 +8,23293259,Monocyte_CD14:ENSG00000104679 +8,30689449,Monocyte_CD14:ENSG00000104687 +8,23224751,Monocyte_CD14:ENSG00000104689 +8,23225458,Monocyte_CD14:ENSG00000104689 +8,23234322,Monocyte_CD14:ENSG00000104689 +8,30812874,Monocyte_CD14:ENSG00000104695 +8,656117,Monocyte_CD14:ENSG00000104714 +8,720092,Monocyte_CD14:ENSG00000104714 +8,900405,Monocyte_CD14:ENSG00000104714 +8,979918,Monocyte_CD14:ENSG00000104714 +8,999624,Monocyte_CD14:ENSG00000104714 +8,1043637,Monocyte_CD14:ENSG00000104714 +8,1841046,Monocyte_CD14:ENSG00000104728 +8,18055243,Monocyte_CD14:ENSG00000104763 +8,18069552,Monocyte_CD14:ENSG00000104763 +8,18196970,Monocyte_CD14:ENSG00000104763 +8,26409318,Monocyte_CD14:ENSG00000104765 +8,26440693,Monocyte_CD14:ENSG00000104765 +8,26441046,Monocyte_CD14:ENSG00000104765 +8,26446381,Monocyte_CD14:ENSG00000104765 +8,141118443,Monocyte_CD14:ENSG00000105339 +8,141163257,Monocyte_CD14:ENSG00000105339 +8,141175481,Monocyte_CD14:ENSG00000105339 +8,23084410,Monocyte_CD14:ENSG00000120889 +8,22552644,Monocyte_CD14:ENSG00000120896 +8,27337604,Monocyte_CD14:ENSG00000120899 +8,27383565,Monocyte_CD14:ENSG00000120899 +8,27453814,Monocyte_CD14:ENSG00000120899 +8,22482496,Monocyte_CD14:ENSG00000120910 +8,22589093,Monocyte_CD14:ENSG00000120913 +8,101073779,Monocyte_CD14:ENSG00000120963 +8,101150872,Monocyte_CD14:ENSG00000120963 +8,53961671,Monocyte_CD14:ENSG00000120992 +8,85850879,Monocyte_CD14:ENSG00000123124 +8,140540365,Monocyte_CD14:ENSG00000123908 +8,132773735,Monocyte_CD14:ENSG00000129292 +8,132846830,Monocyte_CD14:ENSG00000129292 +8,132699963,Monocyte_CD14:ENSG00000129295 +8,132710946,Monocyte_CD14:ENSG00000129295 +8,132718060,Monocyte_CD14:ENSG00000129295 +8,17801242,Monocyte_CD14:ENSG00000129422 +8,17845895,Monocyte_CD14:ENSG00000129422 +8,17980425,Monocyte_CD14:ENSG00000129422 +8,21919740,Monocyte_CD14:ENSG00000130227 +8,132018174,Monocyte_CD14:ENSG00000132294 +8,98114131,Monocyte_CD14:ENSG00000132541 +8,99476407,Monocyte_CD14:ENSG00000132549 +8,81671536,Monocyte_CD14:ENSG00000133731 +8,85145659,Monocyte_CD14:ENSG00000133739 +8,30083637,Monocyte_CD14:ENSG00000133872 +8,30115576,Monocyte_CD14:ENSG00000133872 +8,30127685,Monocyte_CD14:ENSG00000133872 +8,28096948,Monocyte_CD14:ENSG00000134014 +8,24381326,Monocyte_CD14:ENSG00000134028 +8,119604131,Monocyte_CD14:ENSG00000136960 +8,119855898,Monocyte_CD14:ENSG00000136982 +8,119403455,Monocyte_CD14:ENSG00000136999 +8,54135803,Monocyte_CD14:ENSG00000137547 +8,55812055,Monocyte_CD14:ENSG00000137574 +8,70231849,Monocyte_CD14:ENSG00000140396 +8,6406880,Monocyte_CD14:ENSG00000147316 +8,8758364,Monocyte_CD14:ENSG00000147324 +8,8782230,Monocyte_CD14:ENSG00000147324 +8,8893391,Monocyte_CD14:ENSG00000147324 +8,8914754,Monocyte_CD14:ENSG00000147324 +8,9026364,Monocyte_CD14:ENSG00000147324 +8,427647,Monocyte_CD14:ENSG00000147364 +8,19689772,Monocyte_CD14:ENSG00000147408 +8,19704486,Monocyte_CD14:ENSG00000147408 +8,19706638,Monocyte_CD14:ENSG00000147408 +8,19755373,Monocyte_CD14:ENSG00000147408 +8,20176066,Monocyte_CD14:ENSG00000147416 +8,20187125,Monocyte_CD14:ENSG00000147416 +8,27772614,Monocyte_CD14:ENSG00000147419 +8,27774113,Monocyte_CD14:ENSG00000147419 +8,27845949,Monocyte_CD14:ENSG00000147419 +8,29052006,Monocyte_CD14:ENSG00000147421 +8,22612275,Monocyte_CD14:ENSG00000147439 +8,22620294,Monocyte_CD14:ENSG00000147439 +8,21905404,Monocyte_CD14:ENSG00000147443 +8,23546766,Monocyte_CD14:ENSG00000147454 +8,23564633,Monocyte_CD14:ENSG00000147454 +8,23247099,Monocyte_CD14:ENSG00000147457 +8,25196868,Monocyte_CD14:ENSG00000147459 +8,37749067,Monocyte_CD14:ENSG00000147475 +8,52450865,Monocyte_CD14:ENSG00000147488 +8,52468462,Monocyte_CD14:ENSG00000147488 +8,38787396,Monocyte_CD14:ENSG00000147526 +8,41510200,Monocyte_CD14:ENSG00000147533 +8,38323043,Monocyte_CD14:ENSG00000147548 +8,66450725,Monocyte_CD14:ENSG00000147576 +8,66466503,Monocyte_CD14:ENSG00000147576 +8,70570597,Monocyte_CD14:ENSG00000147592 +8,71001688,Monocyte_CD14:ENSG00000147592 +8,73289157,Monocyte_CD14:ENSG00000147604 +8,97602431,Monocyte_CD14:ENSG00000147649 +8,104588504,Monocyte_CD14:ENSG00000147650 +8,104660247,Monocyte_CD14:ENSG00000147650 +8,108831811,Monocyte_CD14:ENSG00000147654 +8,109531300,Monocyte_CD14:ENSG00000147654 +8,100213070,Monocyte_CD14:ENSG00000147669 +8,124539123,Monocyte_CD14:ENSG00000147684 +8,124543544,Monocyte_CD14:ENSG00000147684 +8,124539054,Monocyte_CD14:ENSG00000147687 +8,144104401,Monocyte_CD14:ENSG00000147799 +8,144413722,Monocyte_CD14:ENSG00000147804 +8,144414270,Monocyte_CD14:ENSG00000147804 +8,143506351,Monocyte_CD14:ENSG00000147813 +8,143574807,Monocyte_CD14:ENSG00000147813 +8,143578405,Monocyte_CD14:ENSG00000147813 +8,143599607,Monocyte_CD14:ENSG00000147813 +8,130130823,Monocyte_CD14:ENSG00000153317 +8,130257640,Monocyte_CD14:ENSG00000153317 +8,107632260,Monocyte_CD14:ENSG00000154188 +8,107632291,Monocyte_CD14:ENSG00000154188 +8,11474738,Monocyte_CD14:ENSG00000154319 +8,73994494,Monocyte_CD14:ENSG00000154589 +8,102676153,Monocyte_CD14:ENSG00000155090 +8,103002085,Monocyte_CD14:ENSG00000155096 +8,103059877,Monocyte_CD14:ENSG00000155097 +8,91009645,Monocyte_CD14:ENSG00000155099 +8,91090144,Monocyte_CD14:ENSG00000155099 +8,91103976,Monocyte_CD14:ENSG00000155099 +8,91109302,Monocyte_CD14:ENSG00000155100 +8,6729509,Monocyte_CD14:ENSG00000155189 +8,119988492,Monocyte_CD14:ENSG00000155792 +8,133050026,Monocyte_CD14:ENSG00000155926 +8,133075205,Monocyte_CD14:ENSG00000155926 +8,18996430,Monocyte_CD14:ENSG00000156011 +8,94690298,Monocyte_CD14:ENSG00000156162 +8,94771259,Monocyte_CD14:ENSG00000156162 +8,95087032,Monocyte_CD14:ENSG00000156170 +8,95280003,Monocyte_CD14:ENSG00000156172 +8,96231561,Monocyte_CD14:ENSG00000156467 +8,96235543,Monocyte_CD14:ENSG00000156467 +8,96231561,Monocyte_CD14:ENSG00000156469 +8,96231561,Monocyte_CD14:ENSG00000156471 +8,37881098,Monocyte_CD14:ENSG00000156675 +8,38228491,Monocyte_CD14:ENSG00000156735 +8,123133229,Monocyte_CD14:ENSG00000156787 +8,123424615,Monocyte_CD14:ENSG00000156795 +8,123445969,Monocyte_CD14:ENSG00000156795 +8,123527147,Monocyte_CD14:ENSG00000156804 +8,123603913,Monocyte_CD14:ENSG00000156804 +8,32506710,Monocyte_CD14:ENSG00000157168 +8,32517610,Monocyte_CD14:ENSG00000157168 +8,32575278,Monocyte_CD14:ENSG00000157168 +8,32575466,Monocyte_CD14:ENSG00000157168 +8,32575586,Monocyte_CD14:ENSG00000157168 +8,40798238,Monocyte_CD14:ENSG00000158669 +8,41639017,Monocyte_CD14:ENSG00000158669 +8,22620294,Monocyte_CD14:ENSG00000158941 +8,143026560,Monocyte_CD14:ENSG00000160932 +8,144422571,Monocyte_CD14:ENSG00000160948 +8,144428520,Monocyte_CD14:ENSG00000160948 +8,144422571,Monocyte_CD14:ENSG00000160949 +8,144519234,Monocyte_CD14:ENSG00000160959 +8,144519234,Monocyte_CD14:ENSG00000160972 +8,144792397,Monocyte_CD14:ENSG00000161016 +8,81280973,Monocyte_CD14:ENSG00000164687 +8,81288283,Monocyte_CD14:ENSG00000164687 +8,11771732,Monocyte_CD14:ENSG00000164733 +8,11844804,Monocyte_CD14:ENSG00000164733 +8,11855965,Monocyte_CD14:ENSG00000164733 +8,11864846,Monocyte_CD14:ENSG00000164733 +8,11888353,Monocyte_CD14:ENSG00000164733 +8,11888861,Monocyte_CD14:ENSG00000164733 +8,11890349,Monocyte_CD14:ENSG00000164733 +8,11897546,Monocyte_CD14:ENSG00000164733 +8,11941639,Monocyte_CD14:ENSG00000164733 +8,13219063,Monocyte_CD14:ENSG00000164741 +8,116901861,Monocyte_CD14:ENSG00000164754 +8,117520714,Monocyte_CD14:ENSG00000164758 +8,47739071,Monocyte_CD14:ENSG00000164808 +8,89912744,Monocyte_CD14:ENSG00000164823 +8,6832693,Monocyte_CD14:ENSG00000164825 +8,106754312,Monocyte_CD14:ENSG00000164830 +8,99434493,Monocyte_CD14:ENSG00000164919 +8,100943998,Monocyte_CD14:ENSG00000164924 +8,101073779,Monocyte_CD14:ENSG00000164924 +8,103194604,Monocyte_CD14:ENSG00000164930 +8,103430391,Monocyte_CD14:ENSG00000164933 +8,103415313,Monocyte_CD14:ENSG00000164934 +8,94954676,Monocyte_CD14:ENSG00000164938 +8,94832855,Monocyte_CD14:ENSG00000164941 +8,94557822,Monocyte_CD14:ENSG00000164944 +8,93894137,Monocyte_CD14:ENSG00000164951 +8,93912128,Monocyte_CD14:ENSG00000164951 +8,124267167,Monocyte_CD14:ENSG00000164983 +8,124307452,Monocyte_CD14:ENSG00000164983 +8,132710946,Monocyte_CD14:ENSG00000165071 +8,132713473,Monocyte_CD14:ENSG00000165071 +8,132721826,Monocyte_CD14:ENSG00000165071 +8,132761799,Monocyte_CD14:ENSG00000165071 +8,43860018,Monocyte_CD14:ENSG00000165102 +8,123193723,Monocyte_CD14:ENSG00000165156 +8,31189362,Monocyte_CD14:ENSG00000165392 +8,140448437,Monocyte_CD14:ENSG00000167632 +8,144428520,Monocyte_CD14:ENSG00000167702 +8,55743636,Monocyte_CD14:ENSG00000167904 +8,42898521,Monocyte_CD14:ENSG00000168172 +8,42942923,Monocyte_CD14:ENSG00000168172 +8,51898653,Monocyte_CD14:ENSG00000168300 +8,52028266,Monocyte_CD14:ENSG00000168300 +8,22139104,Monocyte_CD14:ENSG00000168476 +8,22170467,Monocyte_CD14:ENSG00000168487 +8,43114984,Monocyte_CD14:ENSG00000168522 +8,21905404,Monocyte_CD14:ENSG00000168546 +8,42541861,Monocyte_CD14:ENSG00000168575 +8,39036729,Monocyte_CD14:ENSG00000168615 +8,66450725,Monocyte_CD14:ENSG00000169085 +8,66466040,Monocyte_CD14:ENSG00000169085 +8,58300886,Monocyte_CD14:ENSG00000169122 +8,141004870,Monocyte_CD14:ENSG00000169398 +8,96347281,Monocyte_CD14:ENSG00000169439 +8,96770726,Monocyte_CD14:ENSG00000169439 +8,38996101,Monocyte_CD14:ENSG00000169490 +8,38957675,Monocyte_CD14:ENSG00000169499 +8,144871495,Monocyte_CD14:ENSG00000170619 +8,56212711,Monocyte_CD14:ENSG00000170791 +8,56497642,Monocyte_CD14:ENSG00000170791 +8,124784876,Monocyte_CD14:ENSG00000170873 +8,124785280,Monocyte_CD14:ENSG00000170873 +8,124790397,Monocyte_CD14:ENSG00000170873 +8,124794743,Monocyte_CD14:ENSG00000170873 +8,124470655,Monocyte_CD14:ENSG00000170881 +8,11193747,Monocyte_CD14:ENSG00000171044 +8,11248020,Monocyte_CD14:ENSG00000171044 +8,142389203,Monocyte_CD14:ENSG00000171045 +8,60738272,Monocyte_CD14:ENSG00000171316 +8,60949549,Monocyte_CD14:ENSG00000171316 +8,27818109,Monocyte_CD14:ENSG00000171320 +8,120540797,Monocyte_CD14:ENSG00000172172 +8,33478688,Monocyte_CD14:ENSG00000172728 +8,64815287,Monocyte_CD14:ENSG00000172817 +8,9555703,Monocyte_CD14:ENSG00000173273 +8,9026364,Monocyte_CD14:ENSG00000173281 +8,9107298,Monocyte_CD14:ENSG00000173281 +8,23162175,Monocyte_CD14:ENSG00000173530 +8,23083631,Monocyte_CD14:ENSG00000173535 +8,23105246,Monocyte_CD14:ENSG00000173535 +8,66450725,Monocyte_CD14:ENSG00000175073 +8,94954676,Monocyte_CD14:ENSG00000175305 +8,19878113,Monocyte_CD14:ENSG00000175445 +8,19944019,Monocyte_CD14:ENSG00000175445 +8,73974858,Monocyte_CD14:ENSG00000175606 +8,10391970,Monocyte_CD14:ENSG00000175806 +8,95087032,Monocyte_CD14:ENSG00000175895 +8,95182509,Monocyte_CD14:ENSG00000175895 +8,95213320,Monocyte_CD14:ENSG00000175895 +8,42541861,Monocyte_CD14:ENSG00000176209 +8,2000960,Monocyte_CD14:ENSG00000176595 +8,2006298,Monocyte_CD14:ENSG00000176595 +8,86368470,Monocyte_CD14:ENSG00000176623 +8,86500530,Monocyte_CD14:ENSG00000176623 +8,86508442,Monocyte_CD14:ENSG00000176623 +8,85218555,Monocyte_CD14:ENSG00000176731 +8,143046811,Monocyte_CD14:ENSG00000177335 +8,118621022,Monocyte_CD14:ENSG00000177570 +8,11335084,Monocyte_CD14:ENSG00000177710 +8,143921771,Monocyte_CD14:ENSG00000178209 +8,143982302,Monocyte_CD14:ENSG00000178685 +8,143928115,Monocyte_CD14:ENSG00000178719 +8,143990136,Monocyte_CD14:ENSG00000178719 +8,143993894,Monocyte_CD14:ENSG00000178719 +8,143928115,Monocyte_CD14:ENSG00000178814 +8,21759341,Monocyte_CD14:ENSG00000179388 +8,144104401,Monocyte_CD14:ENSG00000179632 +8,144104401,Monocyte_CD14:ENSG00000179698 +8,144109615,Monocyte_CD14:ENSG00000179698 +8,142757251,Monocyte_CD14:ENSG00000180155 +8,97488156,Monocyte_CD14:ENSG00000180543 +8,143685262,Monocyte_CD14:ENSG00000181135 +8,56444714,Monocyte_CD14:ENSG00000181690 +8,117855454,Monocyte_CD14:ENSG00000182197 +8,1760666,Monocyte_CD14:ENSG00000182372 +8,1763109,Monocyte_CD14:ENSG00000182372 +8,1768012,Monocyte_CD14:ENSG00000182372 +8,124450857,Monocyte_CD14:ENSG00000183665 +8,37567011,Monocyte_CD14:ENSG00000183779 +8,143335348,Monocyte_CD14:ENSG00000184428 +8,141359162,Monocyte_CD14:ENSG00000184489 +8,144313067,Monocyte_CD14:ENSG00000185000 +8,85218555,Monocyte_CD14:ENSG00000185015 +8,143921771,Monocyte_CD14:ENSG00000185189 +8,63194571,Monocyte_CD14:ENSG00000185728 +8,143279727,Monocyte_CD14:ENSG00000185730 +8,143928115,Monocyte_CD14:ENSG00000186583 +8,38020190,Monocyte_CD14:ENSG00000187840 +8,39956995,Monocyte_CD14:ENSG00000188676 +8,123241372,Monocyte_CD14:ENSG00000189376 +8,144789533,Monocyte_CD14:ENSG00000196378 +8,38996101,Monocyte_CD14:ENSG00000197140 +8,23432023,Monocyte_CD14:ENSG00000197217 +8,30619100,Monocyte_CD14:ENSG00000197265 +8,29173765,Monocyte_CD14:ENSG00000197892 +8,509450,Monocyte_CD14:ENSG00000198010 +8,900405,Monocyte_CD14:ENSG00000198010 +8,979761,Monocyte_CD14:ENSG00000198010 +8,979918,Monocyte_CD14:ENSG00000198010 +8,999624,Monocyte_CD14:ENSG00000198010 +8,1006363,Monocyte_CD14:ENSG00000198010 +8,1043637,Monocyte_CD14:ENSG00000198010 +8,33478688,Monocyte_CD14:ENSG00000198042 +8,61741039,Monocyte_CD14:ENSG00000198363 +8,61760371,Monocyte_CD14:ENSG00000198363 +8,142612823,Monocyte_CD14:ENSG00000198576 +8,143575631,Monocyte_CD14:ENSG00000204839 +8,143577779,Monocyte_CD14:ENSG00000204839 +8,92965945,Monocyte_CD14:ENSG00000205133 +8,80692862,Monocyte_CD14:ENSG00000205189 +8,65810366,Monocyte_CD14:ENSG00000205268 +8,127435302,Monocyte_CD14:ENSG00000212993 +8,58380819,Monocyte_CD14:ENSG00000215114 +8,58405927,Monocyte_CD14:ENSG00000215114 +8,58410685,Monocyte_CD14:ENSG00000215114 +8,25904466,Monocyte_CD14:ENSG00000221818 +8,47728630,Monocyte_CD14:ENSG00000221869 +8,26266110,Monocyte_CD14:ENSG00000221914 +8,51937157,Monocyte_CD14:ENSG00000228801 +8,71874796,Monocyte_CD14:ENSG00000235531 +8,22620294,Monocyte_CD14:ENSG00000241852 +8,95064444,Monocyte_CD14:ENSG00000245080 +8,95089558,Monocyte_CD14:ENSG00000245080 +8,127092122,Monocyte_CD14:ENSG00000245164 +8,6405562,Monocyte_CD14:ENSG00000246089 +8,66450725,Monocyte_CD14:ENSG00000246145 +8,127435302,Monocyte_CD14:ENSG00000246228 +8,102239769,Monocyte_CD14:ENSG00000246263 +8,102258973,Monocyte_CD14:ENSG00000246263 +8,56586145,Monocyte_CD14:ENSG00000246430 +8,23225458,Monocyte_CD14:ENSG00000246582 +8,23234628,Monocyte_CD14:ENSG00000246582 +8,32575278,Monocyte_CD14:ENSG00000247134 +8,92965945,Monocyte_CD14:ENSG00000248858 +8,124778410,Monocyte_CD14:ENSG00000249816 +8,127996764,Monocyte_CD14:ENSG00000249859 +8,12912362,Monocyte_CD14:ENSG00000250305 +8,23225458,Monocyte_CD14:ENSG00000250714 +8,22477575,Monocyte_CD14:ENSG00000251034 +8,89762031,Monocyte_CD14:ENSG00000251136 +8,41558720,Monocyte_CD14:ENSG00000253174 +8,22620294,Monocyte_CD14:ENSG00000253200 +8,141126298,Monocyte_CD14:ENSG00000253210 +8,141129152,Monocyte_CD14:ENSG00000253210 +8,81154718,Monocyte_CD14:ENSG00000253214 +8,140481969,Monocyte_CD14:ENSG00000253307 +8,103002085,Monocyte_CD14:ENSG00000253320 +8,89361900,Monocyte_CD14:ENSG00000253394 +8,127435302,Monocyte_CD14:ENSG00000253438 +8,94557822,Monocyte_CD14:ENSG00000253704 +8,143275502,Monocyte_CD14:ENSG00000253716 +8,143279727,Monocyte_CD14:ENSG00000253716 +8,48062056,Monocyte_CD14:ENSG00000253729 +8,91109302,Monocyte_CD14:ENSG00000253738 +8,57462795,Monocyte_CD14:ENSG00000253821 +8,2733490,Monocyte_CD14:ENSG00000253853 +8,2741967,Monocyte_CD14:ENSG00000253853 +8,2783498,Monocyte_CD14:ENSG00000253853 +8,8262821,Monocyte_CD14:ENSG00000253958 +8,8682560,Monocyte_CD14:ENSG00000253958 +8,8723898,Monocyte_CD14:ENSG00000253958 +8,70443853,Monocyte_CD14:ENSG00000253967 +8,1763752,Monocyte_CD14:ENSG00000253982 +8,1794559,Monocyte_CD14:ENSG00000253982 +8,1797231,Monocyte_CD14:ENSG00000253982 +8,2133269,Monocyte_CD14:ENSG00000253982 +8,17905529,Monocyte_CD14:ENSG00000254054 +8,55884171,Monocyte_CD14:ENSG00000254087 +8,55887803,Monocyte_CD14:ENSG00000254087 +8,95089558,Monocyte_CD14:ENSG00000254248 +8,128746354,Monocyte_CD14:ENSG00000254275 +8,2741967,Monocyte_CD14:ENSG00000254319 +8,143334731,Monocyte_CD14:ENSG00000254338 +8,74550105,Monocyte_CD14:ENSG00000254349 +8,11248020,Monocyte_CD14:ENSG00000254556 +8,106394968,Monocyte_CD14:ENSG00000254615 +8,81885594,Monocyte_CD14:ENSG00000254689 +8,60949549,Monocyte_CD14:ENSG00000254802 +8,60967798,Monocyte_CD14:ENSG00000254802 +8,143551386,Monocyte_CD14:ENSG00000254859 +8,11248020,Monocyte_CD14:ENSG00000254936 +8,11576667,Monocyte_CD14:ENSG00000254936 +8,11801493,Monocyte_CD14:ENSG00000255046 +8,124785280,Monocyte_CD14:ENSG00000255491 +8,12621131,Monocyte_CD14:ENSG00000255495 +8,12723059,Monocyte_CD14:ENSG00000255495 +8,54675578,Monocyte_CD14:ENSG00000260955 +8,133604532,Monocyte_CD14:ENSG00000261220 +8,144313067,Monocyte_CD14:ENSG00000261236 +8,10428540,Monocyte_CD14:ENSG00000261451 +8,78899904,Monocyte_CD14:ENSG00000261618 +8,11248020,Monocyte_CD14:ENSG00000269918 +8,132757783,Monocyte_CD14:ENSG00000270137 +8,63248666,Monocyte_CD14:ENSG00000270673 +8,30120082,Monocyte_CD14:ENSG00000271869 +8,65609074,Monocyte_CD14:ENSG00000272010 +8,38189813,Monocyte_CD14:ENSG00000272092 +8,65809017,Monocyte_CD14:ENSG00000272155 +8,65902343,Monocyte_CD14:ENSG00000272192 +8,33478688,Monocyte_CD14:ENSG00000272338 +8,134719710,Monocyte_CD14:ENSG00000272456 +8,10458726,Monocyte_CD14:ENSG00000272505 +8,22091559,Monocyte_CD14:ENSG00000275074 +8,8238482,Monocyte_CD14:ENSG00000275342 +8,8342148,Monocyte_CD14:ENSG00000275342 +8,130257640,Monocyte_CD14:ENSG00000280543 +8,999624,Monocyte_CD14:ENSG00000282692 +8,1043637,Monocyte_CD14:ENSG00000282692 +8,12621131,Monocyte_CD14:ENSG00000283674 +8,12658502,Monocyte_CD14:ENSG00000283674 +8,18388623,Monocyte_CD14:ENSG00000285624 +8,38238781,Monocyte_CD14:ENSG00000285632 +8,30257784,Monocyte_CD14:ENSG00000285669 +8,78866477,Monocyte_CD14:ENSG00000285744 +8,130359435,Monocyte_CD14:ENSG00000286535 +8,132718060,Monocyte_CD14:ENSG00000287095 +8,66450725,Monocyte_CD14:ENSG00000287127 +8,57451444,Monocyte_CD14:ENSG00000287301 +8,143551386,Monocyte_CD14:ENSG00000287576 +8,133057175,Monocyte_CD14:ENSG00000287736 +8,127435302,Monocyte_CD14:ENSG00000287781 +4,17592226,Monocyte_CD14:ENSG00000002549 +4,11392539,Monocyte_CD14:ENSG00000002587 +4,15796399,Monocyte_CD14:ENSG00000004468 +4,15796448,Monocyte_CD14:ENSG00000004468 +4,109679146,Monocyte_CD14:ENSG00000005059 +4,6590478,Monocyte_CD14:ENSG00000013288 +4,6609511,Monocyte_CD14:ENSG00000013288 +4,1747113,Monocyte_CD14:ENSG00000013810 +4,41980747,Monocyte_CD14:ENSG00000014824 +4,41990735,Monocyte_CD14:ENSG00000014824 +4,70716659,Monocyte_CD14:ENSG00000018189 +4,67708701,Monocyte_CD14:ENSG00000033178 +4,67415668,Monocyte_CD14:ENSG00000035720 +4,39364970,Monocyte_CD14:ENSG00000035928 +4,177440467,Monocyte_CD14:ENSG00000038002 +4,177442224,Monocyte_CD14:ENSG00000038002 +4,25160758,Monocyte_CD14:ENSG00000038210 +4,13578908,Monocyte_CD14:ENSG00000038219 +4,56998324,Monocyte_CD14:ENSG00000047315 +4,36310920,Monocyte_CD14:ENSG00000047365 +4,17631211,Monocyte_CD14:ENSG00000047662 +4,15541388,Monocyte_CD14:ENSG00000048342 +4,158832770,Monocyte_CD14:ENSG00000052795 +4,25415711,Monocyte_CD14:ENSG00000053900 +4,169757842,Monocyte_CD14:ENSG00000056050 +4,151788753,Monocyte_CD14:ENSG00000059691 +4,41364377,Monocyte_CD14:ENSG00000064042 +4,41376695,Monocyte_CD14:ENSG00000064042 +4,41647537,Monocyte_CD14:ENSG00000064042 +4,37980806,Monocyte_CD14:ENSG00000065882 +4,99831495,Monocyte_CD14:ENSG00000070190 +4,99871795,Monocyte_CD14:ENSG00000070190 +4,99876499,Monocyte_CD14:ENSG00000070190 +4,100016103,Monocyte_CD14:ENSG00000070190 +4,10094606,Monocyte_CD14:ENSG00000071127 +4,5734963,Monocyte_CD14:ENSG00000072840 +4,112282997,Monocyte_CD14:ENSG00000073331 +4,48113247,Monocyte_CD14:ENSG00000074966 +4,48479132,Monocyte_CD14:ENSG00000075539 +4,128951630,Monocyte_CD14:ENSG00000077684 +4,39757468,Monocyte_CD14:ENSG00000078140 +4,39831940,Monocyte_CD14:ENSG00000078177 +4,40031138,Monocyte_CD14:ENSG00000078177 +4,40069721,Monocyte_CD14:ENSG00000078177 +4,40075888,Monocyte_CD14:ENSG00000078177 +4,74092315,Monocyte_CD14:ENSG00000081041 +4,57800705,Monocyte_CD14:ENSG00000084092 +4,56938919,Monocyte_CD14:ENSG00000084093 +4,139660778,Monocyte_CD14:ENSG00000085871 +4,139666260,Monocyte_CD14:ENSG00000085871 +4,139667237,Monocyte_CD14:ENSG00000085871 +4,2787336,Monocyte_CD14:ENSG00000087266 +4,2795756,Monocyte_CD14:ENSG00000087266 +4,2798958,Monocyte_CD14:ENSG00000087266 +4,2938631,Monocyte_CD14:ENSG00000087269 +4,2869018,Monocyte_CD14:ENSG00000087274 +4,2900124,Monocyte_CD14:ENSG00000087274 +4,25861753,Monocyte_CD14:ENSG00000091490 +4,42025821,Monocyte_CD14:ENSG00000109133 +4,42118492,Monocyte_CD14:ENSG00000109133 +4,48380526,Monocyte_CD14:ENSG00000109171 +4,48858800,Monocyte_CD14:ENSG00000109180 +4,51984920,Monocyte_CD14:ENSG00000109184 +4,52360603,Monocyte_CD14:ENSG00000109189 +4,52737138,Monocyte_CD14:ENSG00000109189 +4,54030523,Monocyte_CD14:ENSG00000109220 +4,102492194,Monocyte_CD14:ENSG00000109320 +4,102753951,Monocyte_CD14:ENSG00000109323 +4,102714026,Monocyte_CD14:ENSG00000109332 +4,85956270,Monocyte_CD14:ENSG00000109339 +4,139227019,Monocyte_CD14:ENSG00000109381 +4,139294028,Monocyte_CD14:ENSG00000109390 +4,140716121,Monocyte_CD14:ENSG00000109436 +4,140784955,Monocyte_CD14:ENSG00000109436 +4,140786350,Monocyte_CD14:ENSG00000109436 +4,140808046,Monocyte_CD14:ENSG00000109436 +4,141225533,Monocyte_CD14:ENSG00000109445 +4,165250797,Monocyte_CD14:ENSG00000109466 +4,165354375,Monocyte_CD14:ENSG00000109472 +4,108600973,Monocyte_CD14:ENSG00000109475 +4,6257341,Monocyte_CD14:ENSG00000109501 +4,7072406,Monocyte_CD14:ENSG00000109519 +4,189940887,Monocyte_CD14:ENSG00000109536 +4,189952005,Monocyte_CD14:ENSG00000109536 +4,169631481,Monocyte_CD14:ENSG00000109572 +4,24625280,Monocyte_CD14:ENSG00000109606 +4,153218154,Monocyte_CD14:ENSG00000109654 +4,153222954,Monocyte_CD14:ENSG00000109654 +4,9927951,Monocyte_CD14:ENSG00000109667 +4,152643502,Monocyte_CD14:ENSG00000109670 +4,177309826,Monocyte_CD14:ENSG00000109674 +4,177340507,Monocyte_CD14:ENSG00000109674 +4,177353681,Monocyte_CD14:ENSG00000109674 +4,26822751,Monocyte_CD14:ENSG00000109689 +4,26857536,Monocyte_CD14:ENSG00000109689 +4,26865350,Monocyte_CD14:ENSG00000109689 +4,2869018,Monocyte_CD14:ENSG00000109736 +4,2918673,Monocyte_CD14:ENSG00000109736 +4,15633791,Monocyte_CD14:ENSG00000109743 +4,15710310,Monocyte_CD14:ENSG00000109743 +4,15714254,Monocyte_CD14:ENSG00000109743 +4,159365840,Monocyte_CD14:ENSG00000109756 +4,185257593,Monocyte_CD14:ENSG00000109762 +4,185257593,Monocyte_CD14:ENSG00000109771 +4,185395479,Monocyte_CD14:ENSG00000109775 +4,38093654,Monocyte_CD14:ENSG00000109787 +4,39038810,Monocyte_CD14:ENSG00000109790 +4,39107779,Monocyte_CD14:ENSG00000109790 +4,39500027,Monocyte_CD14:ENSG00000109814 +4,39527356,Monocyte_CD14:ENSG00000109814 +4,23775358,Monocyte_CD14:ENSG00000109819 +4,23864716,Monocyte_CD14:ENSG00000109819 +4,23880780,Monocyte_CD14:ENSG00000109819 +4,23880896,Monocyte_CD14:ENSG00000109819 +4,23884508,Monocyte_CD14:ENSG00000109819 +4,15541388,Monocyte_CD14:ENSG00000118564 +4,15654141,Monocyte_CD14:ENSG00000118564 +4,15683428,Monocyte_CD14:ENSG00000118564 +4,17631211,Monocyte_CD14:ENSG00000118579 +4,88006137,Monocyte_CD14:ENSG00000118762 +4,88266341,Monocyte_CD14:ENSG00000118785 +4,76306332,Monocyte_CD14:ENSG00000118804 +4,76355798,Monocyte_CD14:ENSG00000118804 +4,77071191,Monocyte_CD14:ENSG00000118816 +4,77105310,Monocyte_CD14:ENSG00000118816 +4,146524351,Monocyte_CD14:ENSG00000120519 +4,153466656,Monocyte_CD14:ENSG00000121210 +4,39875384,Monocyte_CD14:ENSG00000121892 +4,40055669,Monocyte_CD14:ENSG00000121892 +4,39035406,Monocyte_CD14:ENSG00000121895 +4,121797839,Monocyte_CD14:ENSG00000123737 +4,109731578,Monocyte_CD14:ENSG00000123739 +4,2249401,Monocyte_CD14:ENSG00000123933 +4,42656379,Monocyte_CD14:ENSG00000124406 +4,74327133,Monocyte_CD14:ENSG00000124882 +4,74336714,Monocyte_CD14:ENSG00000124882 +4,8233514,Monocyte_CD14:ENSG00000125089 +4,2963617,Monocyte_CD14:ENSG00000125388 +4,899924,Monocyte_CD14:ENSG00000127415 +4,960459,Monocyte_CD14:ENSG00000127415 +4,1013536,Monocyte_CD14:ENSG00000127415 +4,55346237,Monocyte_CD14:ENSG00000128039 +4,55395693,Monocyte_CD14:ENSG00000128039 +4,55413561,Monocyte_CD14:ENSG00000128039 +4,55427529,Monocyte_CD14:ENSG00000128039 +4,56345366,Monocyte_CD14:ENSG00000128059 +4,168863580,Monocyte_CD14:ENSG00000129116 +4,176328605,Monocyte_CD14:ENSG00000129128 +4,176332539,Monocyte_CD14:ENSG00000129128 +4,182905915,Monocyte_CD14:ENSG00000129187 +4,342705,Monocyte_CD14:ENSG00000131127 +4,6942313,Monocyte_CD14:ENSG00000132405 +4,4242135,Monocyte_CD14:ENSG00000132406 +4,73171178,Monocyte_CD14:ENSG00000132466 +4,55379156,Monocyte_CD14:ENSG00000134851 +4,55462841,Monocyte_CD14:ENSG00000134852 +4,48339244,Monocyte_CD14:ENSG00000135605 +4,153664370,Monocyte_CD14:ENSG00000137462 +4,153701497,Monocyte_CD14:ENSG00000137462 +4,169631481,Monocyte_CD14:ENSG00000137601 +4,85607017,Monocyte_CD14:ENSG00000138639 +4,85711315,Monocyte_CD14:ENSG00000138639 +4,88887588,Monocyte_CD14:ENSG00000138640 +4,88372986,Monocyte_CD14:ENSG00000138642 +4,112616554,Monocyte_CD14:ENSG00000138658 +4,112231334,Monocyte_CD14:ENSG00000138660 +4,81518083,Monocyte_CD14:ENSG00000138670 +4,83382856,Monocyte_CD14:ENSG00000138678 +4,83562963,Monocyte_CD14:ENSG00000138678 +4,83617515,Monocyte_CD14:ENSG00000138678 +4,123729490,Monocyte_CD14:ENSG00000138685 +4,122261637,Monocyte_CD14:ENSG00000138688 +4,95645178,Monocyte_CD14:ENSG00000138696 +4,98108793,Monocyte_CD14:ENSG00000138698 +4,98432944,Monocyte_CD14:ENSG00000138698 +4,128245609,Monocyte_CD14:ENSG00000138709 +4,119670764,Monocyte_CD14:ENSG00000138735 +4,120098173,Monocyte_CD14:ENSG00000138738 +4,120777044,Monocyte_CD14:ENSG00000138738 +4,120937404,Monocyte_CD14:ENSG00000138738 +4,75901595,Monocyte_CD14:ENSG00000138744 +4,75915281,Monocyte_CD14:ENSG00000138744 +4,75934472,Monocyte_CD14:ENSG00000138744 +4,75956249,Monocyte_CD14:ENSG00000138744 +4,75980585,Monocyte_CD14:ENSG00000138744 +4,76117320,Monocyte_CD14:ENSG00000138750 +4,76001835,Monocyte_CD14:ENSG00000138755 +4,78667891,Monocyte_CD14:ENSG00000138756 +4,78858785,Monocyte_CD14:ENSG00000138756 +4,75645810,Monocyte_CD14:ENSG00000138757 +4,76949586,Monocyte_CD14:ENSG00000138758 +4,77087985,Monocyte_CD14:ENSG00000138758 +4,76189212,Monocyte_CD14:ENSG00000138760 +4,76210141,Monocyte_CD14:ENSG00000138760 +4,77121641,Monocyte_CD14:ENSG00000138764 +4,77186354,Monocyte_CD14:ENSG00000138764 +4,77786279,Monocyte_CD14:ENSG00000138767 +4,75718238,Monocyte_CD14:ENSG00000138768 +4,105339580,Monocyte_CD14:ENSG00000138777 +4,105367045,Monocyte_CD14:ENSG00000138777 +4,105473538,Monocyte_CD14:ENSG00000138777 +4,105816639,Monocyte_CD14:ENSG00000138780 +4,107991560,Monocyte_CD14:ENSG00000138796 +4,107632610,Monocyte_CD14:ENSG00000138801 +4,107693236,Monocyte_CD14:ENSG00000138801 +4,107740501,Monocyte_CD14:ENSG00000138801 +4,109575610,Monocyte_CD14:ENSG00000138802 +4,101340096,Monocyte_CD14:ENSG00000138814 +4,102323888,Monocyte_CD14:ENSG00000138821 +4,102332026,Monocyte_CD14:ENSG00000138821 +4,102403692,Monocyte_CD14:ENSG00000138821 +4,20198728,Monocyte_CD14:ENSG00000145147 +4,966925,Monocyte_CD14:ENSG00000145214 +4,4268999,Monocyte_CD14:ENSG00000145220 +4,4284086,Monocyte_CD14:ENSG00000145220 +4,67511596,Monocyte_CD14:ENSG00000145241 +4,47490096,Monocyte_CD14:ENSG00000145246 +4,47913420,Monocyte_CD14:ENSG00000145246 +4,82798002,Monocyte_CD14:ENSG00000145284 +4,82803737,Monocyte_CD14:ENSG00000145284 +4,83090986,Monocyte_CD14:ENSG00000145287 +4,83153471,Monocyte_CD14:ENSG00000145287 +4,83198198,Monocyte_CD14:ENSG00000145287 +4,83240767,Monocyte_CD14:ENSG00000145287 +4,99438451,Monocyte_CD14:ENSG00000145331 +4,99590104,Monocyte_CD14:ENSG00000145331 +4,87199666,Monocyte_CD14:ENSG00000145332 +4,89824132,Monocyte_CD14:ENSG00000145335 +4,106142322,Monocyte_CD14:ENSG00000145348 +4,113753944,Monocyte_CD14:ENSG00000145349 +4,113782617,Monocyte_CD14:ENSG00000145349 +4,113801773,Monocyte_CD14:ENSG00000145349 +4,113825919,Monocyte_CD14:ENSG00000145349 +4,113853044,Monocyte_CD14:ENSG00000145349 +4,102783934,Monocyte_CD14:ENSG00000145354 +4,102882970,Monocyte_CD14:ENSG00000145354 +4,100366752,Monocyte_CD14:ENSG00000145358 +4,123046583,Monocyte_CD14:ENSG00000145375 +4,118247202,Monocyte_CD14:ENSG00000145388 +4,119206905,Monocyte_CD14:ENSG00000145390 +4,139552790,Monocyte_CD14:ENSG00000145391 +4,163166802,Monocyte_CD14:ENSG00000145414 +4,163666494,Monocyte_CD14:ENSG00000145416 +4,151099625,Monocyte_CD14:ENSG00000145425 +4,151099806,Monocyte_CD14:ENSG00000145425 +4,153696111,Monocyte_CD14:ENSG00000145428 +4,153735244,Monocyte_CD14:ENSG00000145428 +4,156755076,Monocyte_CD14:ENSG00000145431 +4,156915458,Monocyte_CD14:ENSG00000145431 +4,156970811,Monocyte_CD14:ENSG00000145431 +4,168930219,Monocyte_CD14:ENSG00000145439 +4,169010117,Monocyte_CD14:ENSG00000145439 +4,186191303,Monocyte_CD14:ENSG00000145476 +4,186191887,Monocyte_CD14:ENSG00000145476 +4,186199425,Monocyte_CD14:ENSG00000145476 +4,186203305,Monocyte_CD14:ENSG00000145476 +4,176013057,Monocyte_CD14:ENSG00000150627 +4,176099655,Monocyte_CD14:ENSG00000150627 +4,138924612,Monocyte_CD14:ENSG00000151014 +4,98955613,Monocyte_CD14:ENSG00000151247 +4,124711426,Monocyte_CD14:ENSG00000151458 +4,128951630,Monocyte_CD14:ENSG00000151466 +4,129115024,Monocyte_CD14:ENSG00000151466 +4,129329567,Monocyte_CD14:ENSG00000151466 +4,128951630,Monocyte_CD14:ENSG00000151470 +4,129115024,Monocyte_CD14:ENSG00000151470 +4,129329567,Monocyte_CD14:ENSG00000151470 +4,17512134,Monocyte_CD14:ENSG00000151552 +4,183098706,Monocyte_CD14:ENSG00000151718 +4,183099191,Monocyte_CD14:ENSG00000151718 +4,184689735,Monocyte_CD14:ENSG00000151725 +4,184734601,Monocyte_CD14:ENSG00000151725 +4,184849640,Monocyte_CD14:ENSG00000151726 +4,44626864,Monocyte_CD14:ENSG00000151806 +4,154922858,Monocyte_CD14:ENSG00000151962 +4,80183870,Monocyte_CD14:ENSG00000152784 +4,5020896,Monocyte_CD14:ENSG00000152953 +4,22483609,Monocyte_CD14:ENSG00000152990 +4,101791199,Monocyte_CD14:ENSG00000153064 +4,101791500,Monocyte_CD14:ENSG00000153064 +4,101804167,Monocyte_CD14:ENSG00000153064 +4,140370671,Monocyte_CD14:ENSG00000153130 +4,143552937,Monocyte_CD14:ENSG00000153147 +4,169291783,Monocyte_CD14:ENSG00000154447 +4,107039415,Monocyte_CD14:ENSG00000155011 +4,107932139,Monocyte_CD14:ENSG00000155016 +4,8507098,Monocyte_CD14:ENSG00000155275 +4,70951993,Monocyte_CD14:ENSG00000156136 +4,56388169,Monocyte_CD14:ENSG00000157426 +4,39163379,Monocyte_CD14:ENSG00000157796 +4,1211879,Monocyte_CD14:ENSG00000159692 +4,2434315,Monocyte_CD14:ENSG00000159733 +4,3389173,Monocyte_CD14:ENSG00000159788 +4,51984920,Monocyte_CD14:ENSG00000163069 +4,52004791,Monocyte_CD14:ENSG00000163069 +4,52293236,Monocyte_CD14:ENSG00000163069 +4,52023436,Monocyte_CD14:ENSG00000163071 +4,94087129,Monocyte_CD14:ENSG00000163104 +4,94071981,Monocyte_CD14:ENSG00000163110 +4,15633791,Monocyte_CD14:ENSG00000163145 +4,17810291,Monocyte_CD14:ENSG00000163257 +4,78858785,Monocyte_CD14:ENSG00000163291 +4,47913420,Monocyte_CD14:ENSG00000163293 +4,79944182,Monocyte_CD14:ENSG00000163297 +4,80070271,Monocyte_CD14:ENSG00000163297 +4,83351872,Monocyte_CD14:ENSG00000163319 +4,83453539,Monocyte_CD14:ENSG00000163319 +4,83484592,Monocyte_CD14:ENSG00000163322 +4,57040820,Monocyte_CD14:ENSG00000163453 +4,57051180,Monocyte_CD14:ENSG00000163453 +4,57097303,Monocyte_CD14:ENSG00000163453 +4,84870886,Monocyte_CD14:ENSG00000163625 +4,73073122,Monocyte_CD14:ENSG00000163626 +4,86569614,Monocyte_CD14:ENSG00000163629 +4,88260689,Monocyte_CD14:ENSG00000163644 +4,39439449,Monocyte_CD14:ENSG00000163682 +4,39443289,Monocyte_CD14:ENSG00000163682 +4,39448783,Monocyte_CD14:ENSG00000163682 +4,39746986,Monocyte_CD14:ENSG00000163682 +4,39507788,Monocyte_CD14:ENSG00000163683 +4,39585457,Monocyte_CD14:ENSG00000163683 +4,39600732,Monocyte_CD14:ENSG00000163683 +4,40425993,Monocyte_CD14:ENSG00000163694 +4,40703822,Monocyte_CD14:ENSG00000163694 +4,40722604,Monocyte_CD14:ENSG00000163694 +4,40993245,Monocyte_CD14:ENSG00000163697 +4,41214658,Monocyte_CD14:ENSG00000163697 +4,74163897,Monocyte_CD14:ENSG00000163738 +4,73869433,Monocyte_CD14:ENSG00000163739 +4,75466985,Monocyte_CD14:ENSG00000163743 +4,1333708,Monocyte_CD14:ENSG00000163945 +4,1347765,Monocyte_CD14:ENSG00000163945 +4,1747113,Monocyte_CD14:ENSG00000163950 +4,3509042,Monocyte_CD14:ENSG00000163956 +4,3514833,Monocyte_CD14:ENSG00000163956 +4,3523929,Monocyte_CD14:ENSG00000163956 +4,6694797,Monocyte_CD14:ENSG00000163993 +4,107840958,Monocyte_CD14:ENSG00000164023 +4,107862247,Monocyte_CD14:ENSG00000164023 +4,99902249,Monocyte_CD14:ENSG00000164031 +4,99940275,Monocyte_CD14:ENSG00000164032 +4,99949995,Monocyte_CD14:ENSG00000164032 +4,102749610,Monocyte_CD14:ENSG00000164038 +4,103116231,Monocyte_CD14:ENSG00000164039 +4,127728735,Monocyte_CD14:ENSG00000164066 +4,128354796,Monocyte_CD14:ENSG00000164073 +4,119300030,Monocyte_CD14:ENSG00000164096 +4,173312788,Monocyte_CD14:ENSG00000164104 +4,173414587,Monocyte_CD14:ENSG00000164105 +4,121680626,Monocyte_CD14:ENSG00000164111 +4,121692765,Monocyte_CD14:ENSG00000164111 +4,121696338,Monocyte_CD14:ENSG00000164111 +4,121696590,Monocyte_CD14:ENSG00000164111 +4,121797839,Monocyte_CD14:ENSG00000164111 +4,156124789,Monocyte_CD14:ENSG00000164114 +4,155676856,Monocyte_CD14:ENSG00000164116 +4,174482627,Monocyte_CD14:ENSG00000164120 +4,157988293,Monocyte_CD14:ENSG00000164124 +4,158173634,Monocyte_CD14:ENSG00000164124 +4,158203505,Monocyte_CD14:ENSG00000164124 +4,157204280,Monocyte_CD14:ENSG00000164125 +4,157998702,Monocyte_CD14:ENSG00000164125 +4,158092138,Monocyte_CD14:ENSG00000164125 +4,139336048,Monocyte_CD14:ENSG00000164134 +4,141307943,Monocyte_CD14:ENSG00000164136 +4,141327694,Monocyte_CD14:ENSG00000164136 +4,141346748,Monocyte_CD14:ENSG00000164136 +4,141361169,Monocyte_CD14:ENSG00000164136 +4,141383998,Monocyte_CD14:ENSG00000164136 +4,151390723,Monocyte_CD14:ENSG00000164142 +4,152779978,Monocyte_CD14:ENSG00000164144 +4,146060172,Monocyte_CD14:ENSG00000164167 +4,146108376,Monocyte_CD14:ENSG00000164167 +4,146178029,Monocyte_CD14:ENSG00000164167 +4,184620358,Monocyte_CD14:ENSG00000164305 +4,185194467,Monocyte_CD14:ENSG00000164323 +4,185199871,Monocyte_CD14:ENSG00000164323 +4,185202554,Monocyte_CD14:ENSG00000164323 +4,186213040,Monocyte_CD14:ENSG00000164344 +4,26036119,Monocyte_CD14:ENSG00000168214 +4,25326903,Monocyte_CD14:ENSG00000168228 +4,184330218,Monocyte_CD14:ENSG00000168310 +4,183506427,Monocyte_CD14:ENSG00000168556 +4,183466111,Monocyte_CD14:ENSG00000168564 +4,105227601,Monocyte_CD14:ENSG00000168769 +4,4575485,Monocyte_CD14:ENSG00000168818 +4,4270775,Monocyte_CD14:ENSG00000168826 +4,1733509,Monocyte_CD14:ENSG00000168936 +4,47913420,Monocyte_CD14:ENSG00000169019 +4,662092,Monocyte_CD14:ENSG00000169026 +4,76064834,Monocyte_CD14:ENSG00000169245 +4,77862859,Monocyte_CD14:ENSG00000169288 +4,78007751,Monocyte_CD14:ENSG00000169288 +4,37826564,Monocyte_CD14:ENSG00000169299 +4,73703690,Monocyte_CD14:ENSG00000169429 +4,16168587,Monocyte_CD14:ENSG00000169762 +4,16228360,Monocyte_CD14:ENSG00000169762 +4,152643502,Monocyte_CD14:ENSG00000170006 +4,152686737,Monocyte_CD14:ENSG00000170006 +4,165093613,Monocyte_CD14:ENSG00000170088 +4,141004383,Monocyte_CD14:ENSG00000170153 +4,145472229,Monocyte_CD14:ENSG00000170365 +4,150063297,Monocyte_CD14:ENSG00000170390 +4,47866194,Monocyte_CD14:ENSG00000170448 +4,47913420,Monocyte_CD14:ENSG00000170448 +4,47928169,Monocyte_CD14:ENSG00000170448 +4,47928443,Monocyte_CD14:ENSG00000170448 +4,87310240,Monocyte_CD14:ENSG00000170509 +4,87337331,Monocyte_CD14:ENSG00000170509 +4,87366929,Monocyte_CD14:ENSG00000170509 +4,7307292,Monocyte_CD14:ENSG00000170801 +4,8268413,Monocyte_CD14:ENSG00000170801 +4,6664902,Monocyte_CD14:ENSG00000170846 +4,6674758,Monocyte_CD14:ENSG00000170846 +4,5020896,Monocyte_CD14:ENSG00000170891 +4,123046583,Monocyte_CD14:ENSG00000170917 +4,158680524,Monocyte_CD14:ENSG00000171503 +4,139294028,Monocyte_CD14:ENSG00000172007 +4,86970413,Monocyte_CD14:ENSG00000172493 +4,5708528,Monocyte_CD14:ENSG00000173040 +4,83302273,Monocyte_CD14:ENSG00000173083 +4,83318030,Monocyte_CD14:ENSG00000173083 +4,83263616,Monocyte_CD14:ENSG00000173085 +4,184030417,Monocyte_CD14:ENSG00000173320 +4,70952110,Monocyte_CD14:ENSG00000173542 +4,69751601,Monocyte_CD14:ENSG00000173597 +4,69817310,Monocyte_CD14:ENSG00000173597 +4,38804321,Monocyte_CD14:ENSG00000174125 +4,38857655,Monocyte_CD14:ENSG00000174130 +4,38857798,Monocyte_CD14:ENSG00000174130 +4,1684252,Monocyte_CD14:ENSG00000174137 +4,112621317,Monocyte_CD14:ENSG00000174720 +4,112782733,Monocyte_CD14:ENSG00000174720 +4,112213313,Monocyte_CD14:ENSG00000174749 +4,56498044,Monocyte_CD14:ENSG00000174780 +4,55955640,Monocyte_CD14:ENSG00000174799 +4,10475838,Monocyte_CD14:ENSG00000178163 +4,819650,Monocyte_CD14:ENSG00000178950 +4,6694797,Monocyte_CD14:ENSG00000178988 +4,6644493,Monocyte_CD14:ENSG00000179010 +4,40756508,Monocyte_CD14:ENSG00000179299 +4,40834843,Monocyte_CD14:ENSG00000179299 +4,109835787,Monocyte_CD14:ENSG00000180245 +4,89111415,Monocyte_CD14:ENSG00000180346 +4,85375916,Monocyte_CD14:ENSG00000180769 +4,168375321,Monocyte_CD14:ENSG00000181381 +4,168424237,Monocyte_CD14:ENSG00000181381 +4,168457193,Monocyte_CD14:ENSG00000181381 +4,168463379,Monocyte_CD14:ENSG00000181381 +4,168505020,Monocyte_CD14:ENSG00000181381 +4,168511522,Monocyte_CD14:ENSG00000181381 +4,37757961,Monocyte_CD14:ENSG00000181826 +4,24903159,Monocyte_CD14:ENSG00000181982 +4,24905592,Monocyte_CD14:ENSG00000181982 +4,24937906,Monocyte_CD14:ENSG00000181982 +4,95521608,Monocyte_CD14:ENSG00000182168 +4,455634,Monocyte_CD14:ENSG00000182903 +4,53141645,Monocyte_CD14:ENSG00000184178 +4,90039423,Monocyte_CD14:ENSG00000184305 +4,7661736,Monocyte_CD14:ENSG00000184985 +4,2005997,Monocyte_CD14:ENSG00000185049 +4,89270912,Monocyte_CD14:ENSG00000185477 +4,89369213,Monocyte_CD14:ENSG00000185477 +4,709183,Monocyte_CD14:ENSG00000185619 +4,733364,Monocyte_CD14:ENSG00000185619 +4,734322,Monocyte_CD14:ENSG00000185619 +4,747872,Monocyte_CD14:ENSG00000185619 +4,6443089,Monocyte_CD14:ENSG00000186222 +4,82974066,Monocyte_CD14:ENSG00000189308 +4,167209986,Monocyte_CD14:ENSG00000196104 +4,57477667,Monocyte_CD14:ENSG00000196503 +4,7937281,Monocyte_CD14:ENSG00000196526 +4,139874173,Monocyte_CD14:ENSG00000196782 +4,3060583,Monocyte_CD14:ENSG00000197386 +4,3408550,Monocyte_CD14:ENSG00000197386 +4,38857798,Monocyte_CD14:ENSG00000197712 +4,38860500,Monocyte_CD14:ENSG00000197712 +4,99121070,Monocyte_CD14:ENSG00000197894 +4,99138675,Monocyte_CD14:ENSG00000197894 +4,99214291,Monocyte_CD14:ENSG00000197894 +4,87337331,Monocyte_CD14:ENSG00000198189 +4,87341529,Monocyte_CD14:ENSG00000198189 +4,87366929,Monocyte_CD14:ENSG00000198189 +4,87371232,Monocyte_CD14:ENSG00000198189 +4,87375835,Monocyte_CD14:ENSG00000198189 +4,75941102,Monocyte_CD14:ENSG00000198301 +4,163510583,Monocyte_CD14:ENSG00000198498 +4,8507098,Monocyte_CD14:ENSG00000205959 +4,640998,Monocyte_CD14:ENSG00000215375 +4,52706031,Monocyte_CD14:ENSG00000226950 +4,38663521,Monocyte_CD14:ENSG00000231160 +4,183505951,Monocyte_CD14:ENSG00000232648 +4,108604964,Monocyte_CD14:ENSG00000234492 +4,15681825,Monocyte_CD14:ENSG00000237765 +4,15683428,Monocyte_CD14:ENSG00000237765 +4,26858791,Monocyte_CD14:ENSG00000240005 +4,2005997,Monocyte_CD14:ENSG00000243449 +4,1573328,Monocyte_CD14:ENSG00000244459 +4,173144999,Monocyte_CD14:ENSG00000245213 +4,7103238,Monocyte_CD14:ENSG00000245468 +4,189958105,Monocyte_CD14:ENSG00000245685 +4,4725496,Monocyte_CD14:ENSG00000247708 +4,88729069,Monocyte_CD14:ENSG00000248019 +4,67708701,Monocyte_CD14:ENSG00000248049 +4,158015619,Monocyte_CD14:ENSG00000248429 +4,158173634,Monocyte_CD14:ENSG00000248429 +4,141295991,Monocyte_CD14:ENSG00000248810 +4,141307138,Monocyte_CD14:ENSG00000248810 +4,141327694,Monocyte_CD14:ENSG00000248810 +4,141338224,Monocyte_CD14:ENSG00000248810 +4,141346748,Monocyte_CD14:ENSG00000248810 +4,141361169,Monocyte_CD14:ENSG00000248810 +4,141368796,Monocyte_CD14:ENSG00000248810 +4,141405196,Monocyte_CD14:ENSG00000248810 +4,141622288,Monocyte_CD14:ENSG00000248810 +4,184406232,Monocyte_CD14:ENSG00000249096 +4,40336625,Monocyte_CD14:ENSG00000249241 +4,78950178,Monocyte_CD14:ENSG00000249307 +4,39527356,Monocyte_CD14:ENSG00000249348 +4,17592226,Monocyte_CD14:ENSG00000249502 +4,787095,Monocyte_CD14:ENSG00000249592 +4,2918673,Monocyte_CD14:ENSG00000249673 +4,39107779,Monocyte_CD14:ENSG00000249685 +4,42025821,Monocyte_CD14:ENSG00000249771 +4,14172601,Monocyte_CD14:ENSG00000249988 +4,67444939,Monocyte_CD14:ENSG00000250075 +4,167376,Monocyte_CD14:ENSG00000250312 +4,169911,Monocyte_CD14:ENSG00000250312 +4,25914204,Monocyte_CD14:ENSG00000250317 +4,25914236,Monocyte_CD14:ENSG00000250317 +4,143153278,Monocyte_CD14:ENSG00000250326 +4,146178029,Monocyte_CD14:ENSG00000250673 +4,120102153,Monocyte_CD14:ENSG00000250938 +4,82900171,Monocyte_CD14:ENSG00000251022 +4,3036912,Monocyte_CD14:ENSG00000251075 +4,31996940,Monocyte_CD14:ENSG00000251129 +4,184826499,Monocyte_CD14:ENSG00000251139 +4,11392539,Monocyte_CD14:ENSG00000251152 +4,184851078,Monocyte_CD14:ENSG00000251230 +4,15633791,Monocyte_CD14:ENSG00000251379 +4,78719156,Monocyte_CD14:ENSG00000251442 +4,6674758,Monocyte_CD14:ENSG00000251580 +4,8363853,Monocyte_CD14:ENSG00000251615 +4,101310306,Monocyte_CD14:ENSG00000254531 +4,155953681,Monocyte_CD14:ENSG00000256043 +4,47913420,Monocyte_CD14:ENSG00000259959 +4,155676856,Monocyte_CD14:ENSG00000260244 +4,40075888,Monocyte_CD14:ENSG00000260296 +4,112282997,Monocyte_CD14:ENSG00000260526 +4,25062689,Monocyte_CD14:ENSG00000261121 +4,10094606,Monocyte_CD14:ENSG00000261490 +4,16168587,Monocyte_CD14:ENSG00000263327 +4,118254664,Monocyte_CD14:ENSG00000269893 +4,118278735,Monocyte_CD14:ENSG00000269893 +4,118283696,Monocyte_CD14:ENSG00000269893 +4,56886444,Monocyte_CD14:ENSG00000269949 +4,151080653,Monocyte_CD14:ENSG00000270681 +4,95521608,Monocyte_CD14:ENSG00000271474 +4,184537555,Monocyte_CD14:ENSG00000271538 +4,184330218,Monocyte_CD14:ENSG00000271646 +4,184475766,Monocyte_CD14:ENSG00000271646 +4,785606,Monocyte_CD14:ENSG00000272588 +4,77322,Monocyte_CD14:ENSG00000272602 +4,94549,Monocyte_CD14:ENSG00000272602 +4,100320,Monocyte_CD14:ENSG00000272602 +4,7937281,Monocyte_CD14:ENSG00000272620 +4,141307138,Monocyte_CD14:ENSG00000272632 +4,141307943,Monocyte_CD14:ENSG00000272632 +4,141433055,Monocyte_CD14:ENSG00000272632 +4,99067359,Monocyte_CD14:ENSG00000272777 +4,662092,Monocyte_CD14:ENSG00000272927 +4,44685146,Monocyte_CD14:ENSG00000272936 +4,15601446,Monocyte_CD14:ENSG00000273133 +4,139308229,Monocyte_CD14:ENSG00000273247 +4,55427529,Monocyte_CD14:ENSG00000273257 +4,163530489,Monocyte_CD14:ENSG00000273449 +4,140716121,Monocyte_CD14:ENSG00000273472 +4,167376,Monocyte_CD14:ENSG00000275426 +4,25160758,Monocyte_CD14:ENSG00000281501 +4,47913420,Monocyte_CD14:ENSG00000282917 +4,86930956,Monocyte_CD14:ENSG00000284968 +4,1816898,Monocyte_CD14:ENSG00000286205 +4,31996940,Monocyte_CD14:ENSG00000286212 +4,39610606,Monocyte_CD14:ENSG00000286349 +4,158173634,Monocyte_CD14:ENSG00000286558 +4,6992357,Monocyte_CD14:ENSG00000287104 +4,153760359,Monocyte_CD14:ENSG00000287216 +4,11392539,Monocyte_CD14:ENSG00000287778 +4,173414587,Monocyte_CD14:ENSG00000288025 +4,9384129,Monocyte_CD14:ENSG00000288075 +4,1338387,Monocyte_CD14:ENSG00000288380 +4,1347765,Monocyte_CD14:ENSG00000288380 +5,142003019,Monocyte_CD14:ENSG00000013561 +5,139296341,Monocyte_CD14:ENSG00000015479 +5,177605049,Monocyte_CD14:ENSG00000027847 +5,177653718,Monocyte_CD14:ENSG00000027847 +5,177714053,Monocyte_CD14:ENSG00000027847 +5,866603,Monocyte_CD14:ENSG00000028310 +5,173158207,Monocyte_CD14:ENSG00000037241 +5,6607012,Monocyte_CD14:ENSG00000037474 +5,83360746,Monocyte_CD14:ENSG00000038427 +5,83377619,Monocyte_CD14:ENSG00000038427 +5,55377155,Monocyte_CD14:ENSG00000039123 +5,80439579,Monocyte_CD14:ENSG00000039319 +5,80651697,Monocyte_CD14:ENSG00000039319 +5,34639143,Monocyte_CD14:ENSG00000039560 +5,169585257,Monocyte_CD14:ENSG00000040275 +5,134520119,Monocyte_CD14:ENSG00000043143 +5,134535049,Monocyte_CD14:ENSG00000043143 +5,170296225,Monocyte_CD14:ENSG00000043462 +5,170303357,Monocyte_CD14:ENSG00000043462 +5,138800232,Monocyte_CD14:ENSG00000044115 +5,139385056,Monocyte_CD14:ENSG00000044115 +5,113510287,Monocyte_CD14:ENSG00000047188 +5,113531611,Monocyte_CD14:ENSG00000047188 +5,176386030,Monocyte_CD14:ENSG00000048162 +5,60860546,Monocyte_CD14:ENSG00000049167 +5,65563200,Monocyte_CD14:ENSG00000049192 +5,74686133,Monocyte_CD14:ENSG00000049860 +5,74718804,Monocyte_CD14:ENSG00000049860 +5,180285767,Monocyte_CD14:ENSG00000050748 +5,180307312,Monocyte_CD14:ENSG00000050748 +5,178480370,Monocyte_CD14:ENSG00000050767 +5,175919148,Monocyte_CD14:ENSG00000051596 +5,176437651,Monocyte_CD14:ENSG00000051596 +5,153986878,Monocyte_CD14:ENSG00000055147 +5,157362043,Monocyte_CD14:ENSG00000055163 +5,97152503,Monocyte_CD14:ENSG00000058729 +5,128083158,Monocyte_CD14:ENSG00000064651 +5,122753195,Monocyte_CD14:ENSG00000064652 +5,49562,Monocyte_CD14:ENSG00000066230 +5,128857423,Monocyte_CD14:ENSG00000066583 +5,55775284,Monocyte_CD14:ENSG00000067113 +5,62279588,Monocyte_CD14:ENSG00000068796 +5,67009622,Monocyte_CD14:ENSG00000069020 +5,150488763,Monocyte_CD14:ENSG00000070614 +5,150411641,Monocyte_CD14:ENSG00000070814 +5,132271387,Monocyte_CD14:ENSG00000072682 +5,132340627,Monocyte_CD14:ENSG00000072682 +5,172151567,Monocyte_CD14:ENSG00000072786 +5,252238,Monocyte_CD14:ENSG00000073578 +5,36686784,Monocyte_CD14:ENSG00000079215 +5,89144090,Monocyte_CD14:ENSG00000081189 +5,141899428,Monocyte_CD14:ENSG00000081791 +5,36947460,Monocyte_CD14:ENSG00000082068 +5,39183232,Monocyte_CD14:ENSG00000082074 +5,39237388,Monocyte_CD14:ENSG00000082074 +5,39302879,Monocyte_CD14:ENSG00000082074 +5,31524370,Monocyte_CD14:ENSG00000082213 +5,73108523,Monocyte_CD14:ENSG00000083312 +5,41548824,Monocyte_CD14:ENSG00000083720 +5,78491659,Monocyte_CD14:ENSG00000085365 +5,62403902,Monocyte_CD14:ENSG00000086189 +5,179349146,Monocyte_CD14:ENSG00000087116 +5,176990840,Monocyte_CD14:ENSG00000087206 +5,146330798,Monocyte_CD14:ENSG00000091009 +5,56414100,Monocyte_CD14:ENSG00000095015 +5,56895159,Monocyte_CD14:ENSG00000095015 +5,56897156,Monocyte_CD14:ENSG00000095015 +5,65862653,Monocyte_CD14:ENSG00000112851 +5,65911182,Monocyte_CD14:ENSG00000112851 +5,103532861,Monocyte_CD14:ENSG00000112874 +5,103561079,Monocyte_CD14:ENSG00000112874 +5,109657320,Monocyte_CD14:ENSG00000112893 +5,109775886,Monocyte_CD14:ENSG00000112893 +5,6713368,Monocyte_CD14:ENSG00000112941 +5,43446878,Monocyte_CD14:ENSG00000112972 +5,10680435,Monocyte_CD14:ENSG00000112977 +5,10680885,Monocyte_CD14:ENSG00000112977 +5,10709870,Monocyte_CD14:ENSG00000112977 +5,10761041,Monocyte_CD14:ENSG00000112977 +5,43457175,Monocyte_CD14:ENSG00000112992 +5,43708454,Monocyte_CD14:ENSG00000112992 +5,43824575,Monocyte_CD14:ENSG00000112992 +5,140152754,Monocyte_CD14:ENSG00000113068 +5,140285079,Monocyte_CD14:ENSG00000113068 +5,140285079,Monocyte_CD14:ENSG00000113070 +5,140571788,Monocyte_CD14:ENSG00000113108 +5,151674240,Monocyte_CD14:ENSG00000113140 +5,151687037,Monocyte_CD14:ENSG00000113140 +5,140650195,Monocyte_CD14:ENSG00000113141 +5,140658755,Monocyte_CD14:ENSG00000113141 +5,75584065,Monocyte_CD14:ENSG00000113161 +5,75584065,Monocyte_CD14:ENSG00000113163 +5,178593339,Monocyte_CD14:ENSG00000113240 +5,178687511,Monocyte_CD14:ENSG00000113240 +5,179984477,Monocyte_CD14:ENSG00000113269 +5,180059157,Monocyte_CD14:ENSG00000113269 +5,180077394,Monocyte_CD14:ENSG00000113269 +5,157741640,Monocyte_CD14:ENSG00000113272 +5,78986206,Monocyte_CD14:ENSG00000113273 +5,180905396,Monocyte_CD14:ENSG00000113303 +5,80613557,Monocyte_CD14:ENSG00000113318 +5,80651612,Monocyte_CD14:ENSG00000113318 +5,80660105,Monocyte_CD14:ENSG00000113318 +5,126754633,Monocyte_CD14:ENSG00000113368 +5,126761169,Monocyte_CD14:ENSG00000113368 +5,32108746,Monocyte_CD14:ENSG00000113384 +5,32530077,Monocyte_CD14:ENSG00000113387 +5,32551568,Monocyte_CD14:ENSG00000113387 +5,93777317,Monocyte_CD14:ENSG00000113391 +5,33461121,Monocyte_CD14:ENSG00000113407 +5,96875410,Monocyte_CD14:ENSG00000113441 +5,96916885,Monocyte_CD14:ENSG00000113441 +5,60223241,Monocyte_CD14:ENSG00000113448 +5,60248826,Monocyte_CD14:ENSG00000113448 +5,35199555,Monocyte_CD14:ENSG00000113494 +5,35334904,Monocyte_CD14:ENSG00000113494 +5,35476368,Monocyte_CD14:ENSG00000113494 +5,1104823,Monocyte_CD14:ENSG00000113504 +5,1108415,Monocyte_CD14:ENSG00000113504 +5,132595276,Monocyte_CD14:ENSG00000113522 +5,100644996,Monocyte_CD14:ENSG00000113532 +5,142003019,Monocyte_CD14:ENSG00000113552 +5,142013141,Monocyte_CD14:ENSG00000113552 +5,134176914,Monocyte_CD14:ENSG00000113558 +5,143525036,Monocyte_CD14:ENSG00000113580 +5,65686348,Monocyte_CD14:ENSG00000113593 +5,65631914,Monocyte_CD14:ENSG00000113597 +5,135422798,Monocyte_CD14:ENSG00000113648 +5,146445877,Monocyte_CD14:ENSG00000113649 +5,136131620,Monocyte_CD14:ENSG00000113658 +5,149975242,Monocyte_CD14:ENSG00000113716 +5,150008054,Monocyte_CD14:ENSG00000113716 +5,172767113,Monocyte_CD14:ENSG00000113719 +5,172833866,Monocyte_CD14:ENSG00000113719 +5,172985852,Monocyte_CD14:ENSG00000113732 +5,173158207,Monocyte_CD14:ENSG00000113734 +5,173778315,Monocyte_CD14:ENSG00000113742 +5,173836868,Monocyte_CD14:ENSG00000113742 +5,173878429,Monocyte_CD14:ENSG00000113742 +5,175696827,Monocyte_CD14:ENSG00000113749 +5,177445493,Monocyte_CD14:ENSG00000113758 +5,134280760,Monocyte_CD14:ENSG00000119048 +5,168693766,Monocyte_CD14:ENSG00000120137 +5,140152754,Monocyte_CD14:ENSG00000120306 +5,140231695,Monocyte_CD14:ENSG00000120306 +5,140650195,Monocyte_CD14:ENSG00000120314 +5,141679591,Monocyte_CD14:ENSG00000120318 +5,135999540,Monocyte_CD14:ENSG00000120708 +5,135999638,Monocyte_CD14:ENSG00000120708 +5,136009185,Monocyte_CD14:ENSG00000120708 +5,136012308,Monocyte_CD14:ENSG00000120708 +5,136063181,Monocyte_CD14:ENSG00000120708 +5,138369941,Monocyte_CD14:ENSG00000120733 +5,137670971,Monocyte_CD14:ENSG00000120738 +5,75357637,Monocyte_CD14:ENSG00000122008 +5,65741192,Monocyte_CD14:ENSG00000123213 +5,65761816,Monocyte_CD14:ENSG00000123213 +5,65565444,Monocyte_CD14:ENSG00000123219 +5,151429528,Monocyte_CD14:ENSG00000123643 +5,151448453,Monocyte_CD14:ENSG00000123643 +5,151483526,Monocyte_CD14:ENSG00000123643 +5,7870860,Monocyte_CD14:ENSG00000124275 +5,7919535,Monocyte_CD14:ENSG00000124275 +5,7860291,Monocyte_CD14:ENSG00000124279 +5,132486532,Monocyte_CD14:ENSG00000125347 +5,179699089,Monocyte_CD14:ENSG00000127022 +5,179753717,Monocyte_CD14:ENSG00000127022 +5,112921554,Monocyte_CD14:ENSG00000129625 +5,112952164,Monocyte_CD14:ENSG00000129625 +5,132737310,Monocyte_CD14:ENSG00000131437 +5,180808737,Monocyte_CD14:ENSG00000131446 +5,180809449,Monocyte_CD14:ENSG00000131446 +5,180825030,Monocyte_CD14:ENSG00000131446 +5,140650195,Monocyte_CD14:ENSG00000131495 +5,141640533,Monocyte_CD14:ENSG00000131504 +5,142160452,Monocyte_CD14:ENSG00000131507 +5,81320546,Monocyte_CD14:ENSG00000131732 +5,71412339,Monocyte_CD14:ENSG00000131844 +5,40841469,Monocyte_CD14:ENSG00000132357 +5,79257012,Monocyte_CD14:ENSG00000132837 +5,78044022,Monocyte_CD14:ENSG00000132842 +5,78285350,Monocyte_CD14:ENSG00000132842 +5,77067250,Monocyte_CD14:ENSG00000132846 +5,77088013,Monocyte_CD14:ENSG00000132846 +5,77088108,Monocyte_CD14:ENSG00000132846 +5,150710602,Monocyte_CD14:ENSG00000132912 +5,94569250,Monocyte_CD14:ENSG00000133302 +5,94608113,Monocyte_CD14:ENSG00000133302 +5,6368408,Monocyte_CD14:ENSG00000133398 +5,146109139,Monocyte_CD14:ENSG00000133706 +5,119443849,Monocyte_CD14:ENSG00000133835 +5,69254352,Monocyte_CD14:ENSG00000134056 +5,69197946,Monocyte_CD14:ENSG00000134057 +5,67196897,Monocyte_CD14:ENSG00000134061 +5,67205014,Monocyte_CD14:ENSG00000134061 +5,67205664,Monocyte_CD14:ENSG00000134061 +5,55948949,Monocyte_CD14:ENSG00000134352 +5,56159773,Monocyte_CD14:ENSG00000134352 +5,56159818,Monocyte_CD14:ENSG00000134352 +5,56169725,Monocyte_CD14:ENSG00000134352 +5,169814355,Monocyte_CD14:ENSG00000134516 +5,170056702,Monocyte_CD14:ENSG00000134516 +5,112657705,Monocyte_CD14:ENSG00000134982 +5,111766014,Monocyte_CD14:ENSG00000134986 +5,111079673,Monocyte_CD14:ENSG00000134987 +5,157491138,Monocyte_CD14:ENSG00000135074 +5,157513752,Monocyte_CD14:ENSG00000135074 +5,157543139,Monocyte_CD14:ENSG00000135074 +5,156781479,Monocyte_CD14:ENSG00000135077 +5,128538456,Monocyte_CD14:ENSG00000138829 +5,128636425,Monocyte_CD14:ENSG00000138829 +5,1822169,Monocyte_CD14:ENSG00000145494 +5,6644903,Monocyte_CD14:ENSG00000145545 +5,6654061,Monocyte_CD14:ENSG00000145545 +5,16927227,Monocyte_CD14:ENSG00000145555 +5,16994020,Monocyte_CD14:ENSG00000145555 +5,14546811,Monocyte_CD14:ENSG00000145569 +5,14574010,Monocyte_CD14:ENSG00000145569 +5,67998811,Monocyte_CD14:ENSG00000145675 +5,68010276,Monocyte_CD14:ENSG00000145675 +5,78506830,Monocyte_CD14:ENSG00000145685 +5,78557261,Monocyte_CD14:ENSG00000145685 +5,81743044,Monocyte_CD14:ENSG00000145687 +5,76403038,Monocyte_CD14:ENSG00000145703 +5,76403426,Monocyte_CD14:ENSG00000145703 +5,76408374,Monocyte_CD14:ENSG00000145703 +5,102782303,Monocyte_CD14:ENSG00000145723 +5,102786405,Monocyte_CD14:ENSG00000145725 +5,103137911,Monocyte_CD14:ENSG00000145725 +5,103137911,Monocyte_CD14:ENSG00000145725 +5,102782303,Monocyte_CD14:ENSG00000145730 +5,71044045,Monocyte_CD14:ENSG00000145734 +5,71552801,Monocyte_CD14:ENSG00000145734 +5,70379267,Monocyte_CD14:ENSG00000145736 +5,70437984,Monocyte_CD14:ENSG00000145736 +5,71044045,Monocyte_CD14:ENSG00000145736 +5,71098619,Monocyte_CD14:ENSG00000145736 +5,73514891,Monocyte_CD14:ENSG00000145741 +5,108324585,Monocyte_CD14:ENSG00000145743 +5,111073369,Monocyte_CD14:ENSG00000145777 +5,119329807,Monocyte_CD14:ENSG00000145779 +5,119355904,Monocyte_CD14:ENSG00000145779 +5,119396492,Monocyte_CD14:ENSG00000145779 +5,115476887,Monocyte_CD14:ENSG00000145780 +5,115498982,Monocyte_CD14:ENSG00000145780 +5,115544270,Monocyte_CD14:ENSG00000145780 +5,116215759,Monocyte_CD14:ENSG00000145781 +5,116320269,Monocyte_CD14:ENSG00000145781 +5,115840495,Monocyte_CD14:ENSG00000145782 +5,115840892,Monocyte_CD14:ENSG00000145782 +5,115841565,Monocyte_CD14:ENSG00000145782 +5,144167911,Monocyte_CD14:ENSG00000145817 +5,144170898,Monocyte_CD14:ENSG00000145817 +5,143047040,Monocyte_CD14:ENSG00000145819 +5,134833585,Monocyte_CD14:ENSG00000145833 +5,159138101,Monocyte_CD14:ENSG00000145860 +5,159164683,Monocyte_CD14:ENSG00000145860 +5,159208094,Monocyte_CD14:ENSG00000145860 +5,149346583,Monocyte_CD14:ENSG00000145882 +5,149360706,Monocyte_CD14:ENSG00000145882 +5,151056597,Monocyte_CD14:ENSG00000145901 +5,151093041,Monocyte_CD14:ENSG00000145901 +5,173582609,Monocyte_CD14:ENSG00000145919 +5,170375181,Monocyte_CD14:ENSG00000145936 +5,170378407,Monocyte_CD14:ENSG00000145936 +5,170378997,Monocyte_CD14:ENSG00000145936 +5,170389267,Monocyte_CD14:ENSG00000145936 +5,140661080,Monocyte_CD14:ENSG00000146007 +5,181179051,Monocyte_CD14:ENSG00000146054 +5,181199927,Monocyte_CD14:ENSG00000146054 +5,181205454,Monocyte_CD14:ENSG00000146054 +5,176386030,Monocyte_CD14:ENSG00000146066 +5,177445493,Monocyte_CD14:ENSG00000146067 +5,176533675,Monocyte_CD14:ENSG00000146083 +5,177508158,Monocyte_CD14:ENSG00000146094 +5,177508998,Monocyte_CD14:ENSG00000146094 +5,177537046,Monocyte_CD14:ENSG00000146094 +5,10261296,Monocyte_CD14:ENSG00000150753 +5,10261296,Monocyte_CD14:ENSG00000150756 +5,123602936,Monocyte_CD14:ENSG00000151292 +5,50598788,Monocyte_CD14:ENSG00000151883 +5,50635240,Monocyte_CD14:ENSG00000151883 +5,81972251,Monocyte_CD14:ENSG00000152348 +5,81972475,Monocyte_CD14:ENSG00000152348 +5,75706562,Monocyte_CD14:ENSG00000152359 +5,80660105,Monocyte_CD14:ENSG00000152380 +5,79257012,Monocyte_CD14:ENSG00000152409 +5,115209473,Monocyte_CD14:ENSG00000152503 +5,35618879,Monocyte_CD14:ENSG00000152582 +5,52804805,Monocyte_CD14:ENSG00000152684 +5,134596752,Monocyte_CD14:ENSG00000152700 +5,60523279,Monocyte_CD14:ENSG00000152931 +5,64630372,Monocyte_CD14:ENSG00000153006 +5,112921554,Monocyte_CD14:ENSG00000153037 +5,39480500,Monocyte_CD14:ENSG00000153071 +5,39511849,Monocyte_CD14:ENSG00000153071 +5,96661562,Monocyte_CD14:ENSG00000153113 +5,96668081,Monocyte_CD14:ENSG00000153113 +5,1491222,Monocyte_CD14:ENSG00000153395 +5,98929585,Monocyte_CD14:ENSG00000153922 +5,14796476,Monocyte_CD14:ENSG00000154122 +5,14861644,Monocyte_CD14:ENSG00000154122 +5,14868812,Monocyte_CD14:ENSG00000154122 +5,14871259,Monocyte_CD14:ENSG00000154122 +5,14915235,Monocyte_CD14:ENSG00000154122 +5,16509227,Monocyte_CD14:ENSG00000154153 +5,16633302,Monocyte_CD14:ENSG00000154153 +5,126424696,Monocyte_CD14:ENSG00000155324 +5,154709057,Monocyte_CD14:ENSG00000155506 +5,154777849,Monocyte_CD14:ENSG00000155506 +5,56909530,Monocyte_CD14:ENSG00000155542 +5,56917329,Monocyte_CD14:ENSG00000155542 +5,149677700,Monocyte_CD14:ENSG00000155846 +5,149680811,Monocyte_CD14:ENSG00000155846 +5,150008054,Monocyte_CD14:ENSG00000155850 +5,72956648,Monocyte_CD14:ENSG00000157107 +5,73135655,Monocyte_CD14:ENSG00000157107 +5,73160440,Monocyte_CD14:ENSG00000157107 +5,139951581,Monocyte_CD14:ENSG00000158458 +5,143812195,Monocyte_CD14:ENSG00000158497 +5,131229686,Monocyte_CD14:ENSG00000158985 +5,131351444,Monocyte_CD14:ENSG00000158987 +5,176880962,Monocyte_CD14:ENSG00000160883 +5,179835108,Monocyte_CD14:ENSG00000161010 +5,179826598,Monocyte_CD14:ENSG00000161011 +5,179808644,Monocyte_CD14:ENSG00000161013 +5,179791841,Monocyte_CD14:ENSG00000161021 +5,180593372,Monocyte_CD14:ENSG00000161055 +5,53109863,Monocyte_CD14:ENSG00000164172 +5,53112415,Monocyte_CD14:ENSG00000164172 +5,61052219,Monocyte_CD14:ENSG00000164182 +5,36142487,Monocyte_CD14:ENSG00000164187 +5,90584935,Monocyte_CD14:ENSG00000164199 +5,110479214,Monocyte_CD14:ENSG00000164209 +5,111512492,Monocyte_CD14:ENSG00000164211 +5,111516194,Monocyte_CD14:ENSG00000164211 +5,115213390,Monocyte_CD14:ENSG00000164219 +5,115228523,Monocyte_CD14:ENSG00000164219 +5,115262507,Monocyte_CD14:ENSG00000164219 +5,115271895,Monocyte_CD14:ENSG00000164219 +5,115262507,Monocyte_CD14:ENSG00000164221 +5,115271895,Monocyte_CD14:ENSG00000164221 +5,10307948,Monocyte_CD14:ENSG00000164237 +5,127034953,Monocyte_CD14:ENSG00000164241 +5,76819347,Monocyte_CD14:ENSG00000164251 +5,76830681,Monocyte_CD14:ENSG00000164251 +5,77067250,Monocyte_CD14:ENSG00000164252 +5,77075002,Monocyte_CD14:ENSG00000164252 +5,77491163,Monocyte_CD14:ENSG00000164253 +5,77551674,Monocyte_CD14:ENSG00000164253 +5,53558695,Monocyte_CD14:ENSG00000164258 +5,53560674,Monocyte_CD14:ENSG00000164258 +5,147866647,Monocyte_CD14:ENSG00000164265 +5,149600265,Monocyte_CD14:ENSG00000164284 +5,150008054,Monocyte_CD14:ENSG00000164296 +5,80129115,Monocyte_CD14:ENSG00000164300 +5,96777250,Monocyte_CD14:ENSG00000164307 +5,96785866,Monocyte_CD14:ENSG00000164307 +5,96792697,Monocyte_CD14:ENSG00000164307 +5,96807725,Monocyte_CD14:ENSG00000164307 +5,96916885,Monocyte_CD14:ENSG00000164308 +5,38916815,Monocyte_CD14:ENSG00000164327 +5,79654584,Monocyte_CD14:ENSG00000164329 +5,73548804,Monocyte_CD14:ENSG00000164331 +5,159271660,Monocyte_CD14:ENSG00000164332 +5,74754319,Monocyte_CD14:ENSG00000164346 +5,74774667,Monocyte_CD14:ENSG00000164346 +5,74766533,Monocyte_CD14:ENSG00000164347 +5,132672282,Monocyte_CD14:ENSG00000164402 +5,132841598,Monocyte_CD14:ENSG00000164403 +5,132841598,Monocyte_CD14:ENSG00000164405 +5,175491256,Monocyte_CD14:ENSG00000164466 +5,55856780,Monocyte_CD14:ENSG00000164509 +5,154198359,Monocyte_CD14:ENSG00000164574 +5,154457922,Monocyte_CD14:ENSG00000164576 +5,150428260,Monocyte_CD14:ENSG00000164587 +5,150442343,Monocyte_CD14:ENSG00000164587 +5,150449704,Monocyte_CD14:ENSG00000164587 +5,160419067,Monocyte_CD14:ENSG00000164609 +5,134741122,Monocyte_CD14:ENSG00000164615 +5,126595330,Monocyte_CD14:ENSG00000164904 +5,172242184,Monocyte_CD14:ENSG00000168246 +5,34930282,Monocyte_CD14:ENSG00000168724 +5,34956504,Monocyte_CD14:ENSG00000168724 +5,180917766,Monocyte_CD14:ENSG00000168903 +5,179610374,Monocyte_CD14:ENSG00000169045 +5,178687511,Monocyte_CD14:ENSG00000169131 +5,178687539,Monocyte_CD14:ENSG00000169131 +5,178690481,Monocyte_CD14:ENSG00000169131 +5,178698472,Monocyte_CD14:ENSG00000169131 +5,178712441,Monocyte_CD14:ENSG00000169131 +5,177357438,Monocyte_CD14:ENSG00000169220 +5,177306340,Monocyte_CD14:ENSG00000169223 +5,177301399,Monocyte_CD14:ENSG00000169228 +5,177306615,Monocyte_CD14:ENSG00000169228 +5,177241499,Monocyte_CD14:ENSG00000169230 +5,177301399,Monocyte_CD14:ENSG00000169230 +5,177307854,Monocyte_CD14:ENSG00000169230 +5,177308186,Monocyte_CD14:ENSG00000169230 +5,148777686,Monocyte_CD14:ENSG00000169252 +5,148820448,Monocyte_CD14:ENSG00000169252 +5,131086909,Monocyte_CD14:ENSG00000169567 +5,118967786,Monocyte_CD14:ENSG00000169570 +5,118997283,Monocyte_CD14:ENSG00000169570 +5,176304350,Monocyte_CD14:ENSG00000170085 +5,160093654,Monocyte_CD14:ENSG00000170234 +5,160098313,Monocyte_CD14:ENSG00000170234 +5,140609168,Monocyte_CD14:ENSG00000170458 +5,139439612,Monocyte_CD14:ENSG00000170464 +5,139399917,Monocyte_CD14:ENSG00000170469 +5,50203014,Monocyte_CD14:ENSG00000170571 +5,50331809,Monocyte_CD14:ENSG00000170571 +5,50457706,Monocyte_CD14:ENSG00000170571 +5,50635240,Monocyte_CD14:ENSG00000170571 +5,133096826,Monocyte_CD14:ENSG00000170606 +5,133108436,Monocyte_CD14:ENSG00000170606 +5,1076406,Monocyte_CD14:ENSG00000171368 +5,1800322,Monocyte_CD14:ENSG00000171421 +5,1812851,Monocyte_CD14:ENSG00000171421 +5,112968040,Monocyte_CD14:ENSG00000171444 +5,40036596,Monocyte_CD14:ENSG00000171522 +5,40328223,Monocyte_CD14:ENSG00000171522 +5,40486794,Monocyte_CD14:ENSG00000171522 +5,77683038,Monocyte_CD14:ENSG00000171530 +5,77775879,Monocyte_CD14:ENSG00000171530 +5,77805311,Monocyte_CD14:ENSG00000171530 +5,77818402,Monocyte_CD14:ENSG00000171530 +5,77847005,Monocyte_CD14:ENSG00000171530 +5,77876548,Monocyte_CD14:ENSG00000171530 +5,139657545,Monocyte_CD14:ENSG00000171604 +5,74449526,Monocyte_CD14:ENSG00000171617 +5,74631945,Monocyte_CD14:ENSG00000171617 +5,76807127,Monocyte_CD14:ENSG00000171643 +5,76849581,Monocyte_CD14:ENSG00000171643 +5,76860556,Monocyte_CD14:ENSG00000171643 +5,76911950,Monocyte_CD14:ENSG00000171643 +5,71044045,Monocyte_CD14:ENSG00000172062 +5,43556057,Monocyte_CD14:ENSG00000172239 +5,43457175,Monocyte_CD14:ENSG00000172244 +5,43104809,Monocyte_CD14:ENSG00000172262 +5,112968040,Monocyte_CD14:ENSG00000172795 +5,119048924,Monocyte_CD14:ENSG00000172869 +5,95812425,Monocyte_CD14:ENSG00000173221 +5,95828319,Monocyte_CD14:ENSG00000173221 +5,95840570,Monocyte_CD14:ENSG00000173221 +5,102253953,Monocyte_CD14:ENSG00000173930 +5,102362134,Monocyte_CD14:ENSG00000173930 +5,102782303,Monocyte_CD14:ENSG00000173930 +5,98773631,Monocyte_CD14:ENSG00000174136 +5,83236110,Monocyte_CD14:ENSG00000174695 +5,83360746,Monocyte_CD14:ENSG00000174695 +5,172451747,Monocyte_CD14:ENSG00000174705 +5,178258857,Monocyte_CD14:ENSG00000175309 +5,178260151,Monocyte_CD14:ENSG00000175309 +5,176264470,Monocyte_CD14:ENSG00000175414 +5,176392620,Monocyte_CD14:ENSG00000175416 +5,95261578,Monocyte_CD14:ENSG00000175471 +5,58488986,Monocyte_CD14:ENSG00000175857 +5,140557175,Monocyte_CD14:ENSG00000176087 +5,179591080,Monocyte_CD14:ENSG00000176783 +5,179609197,Monocyte_CD14:ENSG00000176783 +5,179610374,Monocyte_CD14:ENSG00000176783 +5,17217097,Monocyte_CD14:ENSG00000176788 +5,17241355,Monocyte_CD14:ENSG00000176788 +5,17249792,Monocyte_CD14:ENSG00000176788 +5,80096207,Monocyte_CD14:ENSG00000177034 +5,55739177,Monocyte_CD14:ENSG00000177058 +5,151733242,Monocyte_CD14:ENSG00000177556 +5,151744658,Monocyte_CD14:ENSG00000177556 +5,151756587,Monocyte_CD14:ENSG00000177556 +5,43039691,Monocyte_CD14:ENSG00000177721 +5,42977167,Monocyte_CD14:ENSG00000177738 +5,115944429,Monocyte_CD14:ENSG00000177879 +5,71881748,Monocyte_CD14:ENSG00000178175 +5,178860364,Monocyte_CD14:ENSG00000178338 +5,141306354,Monocyte_CD14:ENSG00000178913 +5,141320922,Monocyte_CD14:ENSG00000178913 +5,141673554,Monocyte_CD14:ENSG00000178913 +5,54540573,Monocyte_CD14:ENSG00000178996 +5,54606851,Monocyte_CD14:ENSG00000178996 +5,54639334,Monocyte_CD14:ENSG00000178996 +5,475506,Monocyte_CD14:ENSG00000180104 +5,176443607,Monocyte_CD14:ENSG00000182230 +5,150084545,Monocyte_CD14:ENSG00000182578 +5,150110062,Monocyte_CD14:ENSG00000182578 +5,69320252,Monocyte_CD14:ENSG00000183323 +5,69492970,Monocyte_CD14:ENSG00000183474 +5,70437984,Monocyte_CD14:ENSG00000183474 +5,139478340,Monocyte_CD14:ENSG00000184584 +5,177593076,Monocyte_CD14:ENSG00000184840 +5,177653718,Monocyte_CD14:ENSG00000184840 +5,94505012,Monocyte_CD14:ENSG00000185261 +5,94608113,Monocyte_CD14:ENSG00000185261 +5,54301455,Monocyte_CD14:ENSG00000185305 +5,145835322,Monocyte_CD14:ENSG00000186314 +5,82275970,Monocyte_CD14:ENSG00000186468 +5,82278173,Monocyte_CD14:ENSG00000186468 +5,131086909,Monocyte_CD14:ENSG00000186687 +5,168533113,Monocyte_CD14:ENSG00000188573 +5,61228093,Monocyte_CD14:ENSG00000188725 +5,75457809,Monocyte_CD14:ENSG00000189045 +5,80651612,Monocyte_CD14:ENSG00000189127 +5,80660105,Monocyte_CD14:ENSG00000189127 +5,180860567,Monocyte_CD14:ENSG00000196670 +5,151239432,Monocyte_CD14:ENSG00000196743 +5,151241037,Monocyte_CD14:ENSG00000196743 +5,151270722,Monocyte_CD14:ENSG00000196743 +5,177525639,Monocyte_CD14:ENSG00000196923 +5,151135481,Monocyte_CD14:ENSG00000197043 +5,151154983,Monocyte_CD14:ENSG00000197043 +5,132369605,Monocyte_CD14:ENSG00000197208 +5,132369766,Monocyte_CD14:ENSG00000197208 +5,179863154,Monocyte_CD14:ENSG00000197226 +5,179907857,Monocyte_CD14:ENSG00000197226 +5,132369766,Monocyte_CD14:ENSG00000197375 +5,178205421,Monocyte_CD14:ENSG00000197451 +5,132507027,Monocyte_CD14:ENSG00000197536 +5,37257494,Monocyte_CD14:ENSG00000197603 +5,37285941,Monocyte_CD14:ENSG00000197603 +5,69304219,Monocyte_CD14:ENSG00000197822 +5,69368906,Monocyte_CD14:ENSG00000197822 +5,69386709,Monocyte_CD14:ENSG00000197822 +5,69402554,Monocyte_CD14:ENSG00000197822 +5,69465607,Monocyte_CD14:ENSG00000197822 +5,69492970,Monocyte_CD14:ENSG00000197822 +5,69494029,Monocyte_CD14:ENSG00000197822 +5,69513007,Monocyte_CD14:ENSG00000197822 +5,65545319,Monocyte_CD14:ENSG00000197860 +5,65741192,Monocyte_CD14:ENSG00000197860 +5,151211994,Monocyte_CD14:ENSG00000198624 +5,151237408,Monocyte_CD14:ENSG00000198624 +5,95544271,Monocyte_CD14:ENSG00000198677 +5,42798785,Monocyte_CD14:ENSG00000198865 +5,109345390,Monocyte_CD14:ENSG00000198961 +5,109353440,Monocyte_CD14:ENSG00000198961 +5,109376806,Monocyte_CD14:ENSG00000198961 +5,181246228,Monocyte_CD14:ENSG00000204628 +5,122752015,Monocyte_CD14:ENSG00000205302 +5,82275850,Monocyte_CD14:ENSG00000205464 +5,69322093,Monocyte_CD14:ENSG00000205571 +5,69473733,Monocyte_CD14:ENSG00000205571 +5,69498181,Monocyte_CD14:ENSG00000205571 +5,69555714,Monocyte_CD14:ENSG00000205571 +5,151021026,Monocyte_CD14:ENSG00000211445 +5,177308186,Monocyte_CD14:ENSG00000213347 +5,140552191,Monocyte_CD14:ENSG00000213523 +5,140557175,Monocyte_CD14:ENSG00000213523 +5,140557240,Monocyte_CD14:ENSG00000213523 +5,140569254,Monocyte_CD14:ENSG00000213523 +5,134016531,Monocyte_CD14:ENSG00000213585 +5,52814980,Monocyte_CD14:ENSG00000213949 +5,172645437,Monocyte_CD14:ENSG00000214357 +5,43098083,Monocyte_CD14:ENSG00000215068 +5,418553,Monocyte_CD14:ENSG00000221990 +5,112184184,Monocyte_CD14:ENSG00000224032 +5,465960,Monocyte_CD14:ENSG00000225138 +5,469264,Monocyte_CD14:ENSG00000225138 +5,80651697,Monocyte_CD14:ENSG00000228716 +5,132304150,Monocyte_CD14:ENSG00000233006 +5,132369654,Monocyte_CD14:ENSG00000233006 +5,181264199,Monocyte_CD14:ENSG00000233937 +5,179025501,Monocyte_CD14:ENSG00000234284 +5,132486532,Monocyte_CD14:ENSG00000234290 +5,134247020,Monocyte_CD14:ENSG00000237190 +5,131845612,Monocyte_CD14:ENSG00000239642 +5,34013917,Monocyte_CD14:ENSG00000242110 +5,140609168,Monocyte_CD14:ENSG00000243056 +5,115599668,Monocyte_CD14:ENSG00000243414 +5,180831223,Monocyte_CD14:ENSG00000245060 +5,139171563,Monocyte_CD14:ENSG00000245146 +5,154610968,Monocyte_CD14:ENSG00000245275 +5,179850353,Monocyte_CD14:ENSG00000245317 +5,78359003,Monocyte_CD14:ENSG00000245556 +5,25163396,Monocyte_CD14:ENSG00000245662 +5,128083158,Monocyte_CD14:ENSG00000245937 +5,16633302,Monocyte_CD14:ENSG00000246214 +5,177436518,Monocyte_CD14:ENSG00000246334 +5,8450683,Monocyte_CD14:ENSG00000247516 +5,81301555,Monocyte_CD14:ENSG00000247572 +5,88350018,Monocyte_CD14:ENSG00000247828 +5,43610201,Monocyte_CD14:ENSG00000248092 +5,43715054,Monocyte_CD14:ENSG00000248092 +5,97183223,Monocyte_CD14:ENSG00000248202 +5,43952989,Monocyte_CD14:ENSG00000248240 +5,181264199,Monocyte_CD14:ENSG00000248275 +5,91314390,Monocyte_CD14:ENSG00000248323 +5,116321678,Monocyte_CD14:ENSG00000248445 +5,98930103,Monocyte_CD14:ENSG00000248489 +5,134155567,Monocyte_CD14:ENSG00000248559 +5,56480680,Monocyte_CD14:ENSG00000248727 +5,96777250,Monocyte_CD14:ENSG00000248734 +5,96777338,Monocyte_CD14:ENSG00000248734 +5,23738790,Monocyte_CD14:ENSG00000248874 +5,80660105,Monocyte_CD14:ENSG00000249042 +5,115602270,Monocyte_CD14:ENSG00000249249 +5,70046795,Monocyte_CD14:ENSG00000249437 +5,71098619,Monocyte_CD14:ENSG00000249437 +5,71329147,Monocyte_CD14:ENSG00000249437 +5,71366336,Monocyte_CD14:ENSG00000249437 +5,71380088,Monocyte_CD14:ENSG00000249437 +5,71548048,Monocyte_CD14:ENSG00000249437 +5,71565517,Monocyte_CD14:ENSG00000249437 +5,71571568,Monocyte_CD14:ENSG00000249437 +5,109332128,Monocyte_CD14:ENSG00000249476 +5,81838604,Monocyte_CD14:ENSG00000249483 +5,33454223,Monocyte_CD14:ENSG00000249572 +5,170246576,Monocyte_CD14:ENSG00000249601 +5,83062610,Monocyte_CD14:ENSG00000249664 +5,80129115,Monocyte_CD14:ENSG00000249825 +5,246388,Monocyte_CD14:ENSG00000249915 +5,36702762,Monocyte_CD14:ENSG00000250155 +5,137907104,Monocyte_CD14:ENSG00000250159 +5,97183223,Monocyte_CD14:ENSG00000250331 +5,71470644,Monocyte_CD14:ENSG00000250387 +5,16633302,Monocyte_CD14:ENSG00000250415 +5,9549829,Monocyte_CD14:ENSG00000250786 +5,77067250,Monocyte_CD14:ENSG00000250802 +5,77088013,Monocyte_CD14:ENSG00000250802 +5,77088477,Monocyte_CD14:ENSG00000250802 +5,94199153,Monocyte_CD14:ENSG00000251023 +5,43019962,Monocyte_CD14:ENSG00000251131 +5,43098083,Monocyte_CD14:ENSG00000251131 +5,25155394,Monocyte_CD14:ENSG00000251273 +5,148402169,Monocyte_CD14:ENSG00000251330 +5,157369851,Monocyte_CD14:ENSG00000251405 +5,97183223,Monocyte_CD14:ENSG00000251513 +5,65631914,Monocyte_CD14:ENSG00000253251 +5,138800232,Monocyte_CD14:ENSG00000253404 +5,150724136,Monocyte_CD14:ENSG00000256235 +5,10538123,Monocyte_CD14:ENSG00000259802 +5,25218768,Monocyte_CD14:ENSG00000260761 +5,70971263,Monocyte_CD14:ENSG00000269983 +5,151429528,Monocyte_CD14:ENSG00000271795 +5,115262507,Monocyte_CD14:ENSG00000271797 +5,56909530,Monocyte_CD14:ENSG00000271828 +5,56963908,Monocyte_CD14:ENSG00000271828 +5,83062610,Monocyte_CD14:ENSG00000271862 +5,73108523,Monocyte_CD14:ENSG00000271926 +5,14796476,Monocyte_CD14:ENSG00000272057 +5,72956648,Monocyte_CD14:ENSG00000272081 +5,96792697,Monocyte_CD14:ENSG00000272109 +5,61112888,Monocyte_CD14:ENSG00000272308 +5,177559205,Monocyte_CD14:ENSG00000272459 +5,69360500,Monocyte_CD14:ENSG00000273841 +5,180825030,Monocyte_CD14:ENSG00000278970 +5,91444678,Monocyte_CD14:ENSG00000281357 +5,25165467,Monocyte_CD14:ENSG00000285042 +5,36887793,Monocyte_CD14:ENSG00000285967 +5,37050258,Monocyte_CD14:ENSG00000286193 +5,1345359,Monocyte_CD14:ENSG00000286388 +5,42923265,Monocyte_CD14:ENSG00000286656 +5,81412861,Monocyte_CD14:ENSG00000286721 +5,97183223,Monocyte_CD14:ENSG00000286828 +5,53907539,Monocyte_CD14:ENSG00000287087 +5,42977167,Monocyte_CD14:ENSG00000287263 +6,143480696,Monocyte_CD14:ENSG00000001036 +6,53505309,Monocyte_CD14:ENSG00000001084 +6,53579128,Monocyte_CD14:ENSG00000001084 +6,46106406,Monocyte_CD14:ENSG00000001561 +6,46148365,Monocyte_CD14:ENSG00000001561 +6,46188804,Monocyte_CD14:ENSG00000001561 +6,110476360,Monocyte_CD14:ENSG00000004809 +6,110477288,Monocyte_CD14:ENSG00000004809 +6,110483269,Monocyte_CD14:ENSG00000004809 +6,82245018,Monocyte_CD14:ENSG00000005700 +6,16131066,Monocyte_CD14:ENSG00000007944 +6,170568453,Monocyte_CD14:ENSG00000008018 +6,15062740,Monocyte_CD14:ENSG00000008083 +6,15066801,Monocyte_CD14:ENSG00000008083 +6,15247162,Monocyte_CD14:ENSG00000008083 +6,111326807,Monocyte_CD14:ENSG00000009413 +6,142381452,Monocyte_CD14:ENSG00000009844 +6,36387595,Monocyte_CD14:ENSG00000010030 +6,111929756,Monocyte_CD14:ENSG00000010810 +6,111959953,Monocyte_CD14:ENSG00000010810 +6,142946383,Monocyte_CD14:ENSG00000010818 +6,53350321,Monocyte_CD14:ENSG00000012660 +6,53357933,Monocyte_CD14:ENSG00000012660 +6,53437741,Monocyte_CD14:ENSG00000012660 +6,83193331,Monocyte_CD14:ENSG00000013375 +6,83193331,Monocyte_CD14:ENSG00000013392 +6,96588192,Monocyte_CD14:ENSG00000014123 +6,2791449,Monocyte_CD14:ENSG00000021355 +6,2839499,Monocyte_CD14:ENSG00000021355 +6,2869162,Monocyte_CD14:ENSG00000021355 +6,2903350,Monocyte_CD14:ENSG00000021355 +6,35299771,Monocyte_CD14:ENSG00000023892 +6,35299934,Monocyte_CD14:ENSG00000023892 +6,138591696,Monocyte_CD14:ENSG00000024862 +6,89398859,Monocyte_CD14:ENSG00000025039 +6,89412271,Monocyte_CD14:ENSG00000025039 +6,122399661,Monocyte_CD14:ENSG00000025156 +6,107904118,Monocyte_CD14:ENSG00000025796 +6,166946536,Monocyte_CD14:ENSG00000026297 +6,166956742,Monocyte_CD14:ENSG00000026297 +6,161300508,Monocyte_CD14:ENSG00000026652 +6,26387318,Monocyte_CD14:ENSG00000026950 +6,26395975,Monocyte_CD14:ENSG00000026950 +6,26414197,Monocyte_CD14:ENSG00000026950 +6,26426820,Monocyte_CD14:ENSG00000026950 +6,137199274,Monocyte_CD14:ENSG00000027697 +6,137248925,Monocyte_CD14:ENSG00000027697 +6,137306737,Monocyte_CD14:ENSG00000027697 +6,155314859,Monocyte_CD14:ENSG00000029639 +6,49486568,Monocyte_CD14:ENSG00000031691 +6,49492265,Monocyte_CD14:ENSG00000031691 +6,43064943,Monocyte_CD14:ENSG00000044090 +6,15585901,Monocyte_CD14:ENSG00000047579 +6,15667600,Monocyte_CD14:ENSG00000047579 +6,15690869,Monocyte_CD14:ENSG00000047579 +6,42196663,Monocyte_CD14:ENSG00000048544 +6,156648161,Monocyte_CD14:ENSG00000049618 +6,13818499,Monocyte_CD14:ENSG00000050393 +6,138400446,Monocyte_CD14:ENSG00000051620 +6,138408486,Monocyte_CD14:ENSG00000051620 +6,138591696,Monocyte_CD14:ENSG00000051620 +6,149248679,Monocyte_CD14:ENSG00000055208 +6,149254868,Monocyte_CD14:ENSG00000055208 +6,149563461,Monocyte_CD14:ENSG00000055211 +6,111583964,Monocyte_CD14:ENSG00000056972 +6,106254472,Monocyte_CD14:ENSG00000057663 +6,166258927,Monocyte_CD14:ENSG00000060762 +6,166311947,Monocyte_CD14:ENSG00000060762 +6,34883434,Monocyte_CD14:ENSG00000064995 +6,34973179,Monocyte_CD14:ENSG00000064999 +6,35199062,Monocyte_CD14:ENSG00000065029 +6,35250712,Monocyte_CD14:ENSG00000065029 +6,34706725,Monocyte_CD14:ENSG00000065060 +6,34816594,Monocyte_CD14:ENSG00000065060 +6,52403210,Monocyte_CD14:ENSG00000065308 +6,52590246,Monocyte_CD14:ENSG00000065308 +6,52595142,Monocyte_CD14:ENSG00000065308 +6,83767209,Monocyte_CD14:ENSG00000065609 +6,84192407,Monocyte_CD14:ENSG00000065609 +6,83767209,Monocyte_CD14:ENSG00000065615 +6,83878413,Monocyte_CD14:ENSG00000065615 +6,83431563,Monocyte_CD14:ENSG00000065833 +6,83459844,Monocyte_CD14:ENSG00000065833 +6,83699536,Monocyte_CD14:ENSG00000065833 +6,126035243,Monocyte_CD14:ENSG00000066651 +6,166965131,Monocyte_CD14:ENSG00000071242 +6,154318712,Monocyte_CD14:ENSG00000074706 +6,154340498,Monocyte_CD14:ENSG00000074706 +6,154357213,Monocyte_CD14:ENSG00000074706 +6,112089133,Monocyte_CD14:ENSG00000074935 +6,157992394,Monocyte_CD14:ENSG00000078269 +6,158060308,Monocyte_CD14:ENSG00000078269 +6,158077523,Monocyte_CD14:ENSG00000078269 +6,158180782,Monocyte_CD14:ENSG00000078269 +6,25277191,Monocyte_CD14:ENSG00000079691 +6,25405130,Monocyte_CD14:ENSG00000079691 +6,25405803,Monocyte_CD14:ENSG00000079691 +6,131052125,Monocyte_CD14:ENSG00000079819 +6,131132220,Monocyte_CD14:ENSG00000079819 +6,131139788,Monocyte_CD14:ENSG00000079819 +6,132512815,Monocyte_CD14:ENSG00000079950 +6,73394834,Monocyte_CD14:ENSG00000080007 +6,109364911,Monocyte_CD14:ENSG00000080546 +6,108076006,Monocyte_CD14:ENSG00000081087 +6,70463524,Monocyte_CD14:ENSG00000082269 +6,83078292,Monocyte_CD14:ENSG00000083097 +6,80010770,Monocyte_CD14:ENSG00000083123 +6,104727335,Monocyte_CD14:ENSG00000085382 +6,158839955,Monocyte_CD14:ENSG00000092820 +6,158851223,Monocyte_CD14:ENSG00000092820 +6,158973953,Monocyte_CD14:ENSG00000092820 +6,132751610,Monocyte_CD14:ENSG00000093134 +6,132758021,Monocyte_CD14:ENSG00000093134 +6,127229421,Monocyte_CD14:ENSG00000093144 +6,127457700,Monocyte_CD14:ENSG00000093144 +6,12027402,Monocyte_CD14:ENSG00000095951 +6,12049862,Monocyte_CD14:ENSG00000095951 +6,35999281,Monocyte_CD14:ENSG00000096063 +6,36236534,Monocyte_CD14:ENSG00000096070 +6,52386184,Monocyte_CD14:ENSG00000096093 +6,44248216,Monocyte_CD14:ENSG00000096384 +6,6611991,Monocyte_CD14:ENSG00000096696 +6,7491318,Monocyte_CD14:ENSG00000096696 +6,24666092,Monocyte_CD14:ENSG00000111802 +6,24684793,Monocyte_CD14:ENSG00000111802 +6,116361897,Monocyte_CD14:ENSG00000111817 +6,116375237,Monocyte_CD14:ENSG00000111817 +6,116435504,Monocyte_CD14:ENSG00000111817 +6,116440936,Monocyte_CD14:ENSG00000111817 +6,116519720,Monocyte_CD14:ENSG00000111832 +6,116529603,Monocyte_CD14:ENSG00000111832 +6,116618322,Monocyte_CD14:ENSG00000111832 +6,116529603,Monocyte_CD14:ENSG00000111834 +6,117038590,Monocyte_CD14:ENSG00000111834 +6,10838551,Monocyte_CD14:ENSG00000111837 +6,10723216,Monocyte_CD14:ENSG00000111843 +6,10744479,Monocyte_CD14:ENSG00000111843 +6,10707661,Monocyte_CD14:ENSG00000111845 +6,10535358,Monocyte_CD14:ENSG00000111846 +6,87209104,Monocyte_CD14:ENSG00000111850 +6,11328573,Monocyte_CD14:ENSG00000111859 +6,11367487,Monocyte_CD14:ENSG00000111859 +6,118604418,Monocyte_CD14:ENSG00000111860 +6,118759216,Monocyte_CD14:ENSG00000111860 +6,118763426,Monocyte_CD14:ENSG00000111860 +6,12211262,Monocyte_CD14:ENSG00000111863 +6,118894738,Monocyte_CD14:ENSG00000111875 +6,118946634,Monocyte_CD14:ENSG00000111877 +6,88851200,Monocyte_CD14:ENSG00000111880 +6,88963194,Monocyte_CD14:ENSG00000111880 +6,119357816,Monocyte_CD14:ENSG00000111885 +6,119378639,Monocyte_CD14:ENSG00000111885 +6,89320728,Monocyte_CD14:ENSG00000111886 +6,122645961,Monocyte_CD14:ENSG00000111897 +6,125302122,Monocyte_CD14:ENSG00000111906 +6,125302128,Monocyte_CD14:ENSG00000111906 +6,125309889,Monocyte_CD14:ENSG00000111906 +6,125310413,Monocyte_CD14:ENSG00000111906 +6,125814747,Monocyte_CD14:ENSG00000111912 +6,125834433,Monocyte_CD14:ENSG00000111912 +6,125845721,Monocyte_CD14:ENSG00000111912 +6,125911302,Monocyte_CD14:ENSG00000111912 +6,24690634,Monocyte_CD14:ENSG00000111913 +6,24811478,Monocyte_CD14:ENSG00000111913 +6,148205618,Monocyte_CD14:ENSG00000111961 +6,148364226,Monocyte_CD14:ENSG00000111961 +6,148367407,Monocyte_CD14:ENSG00000111961 +6,148367929,Monocyte_CD14:ENSG00000111961 +6,148381708,Monocyte_CD14:ENSG00000111961 +6,148510017,Monocyte_CD14:ENSG00000111961 +6,152998433,Monocyte_CD14:ENSG00000112031 +6,153974959,Monocyte_CD14:ENSG00000112038 +6,35999281,Monocyte_CD14:ENSG00000112053 +6,36095385,Monocyte_CD14:ENSG00000112053 +6,36032340,Monocyte_CD14:ENSG00000112062 +6,36527556,Monocyte_CD14:ENSG00000112078 +6,36557386,Monocyte_CD14:ENSG00000112078 +6,36527556,Monocyte_CD14:ENSG00000112079 +6,36602930,Monocyte_CD14:ENSG00000112081 +6,159655913,Monocyte_CD14:ENSG00000112096 +6,159678411,Monocyte_CD14:ENSG00000112096 +6,159790613,Monocyte_CD14:ENSG00000112110 +6,37354031,Monocyte_CD14:ENSG00000112130 +6,37381144,Monocyte_CD14:ENSG00000112130 +6,13260221,Monocyte_CD14:ENSG00000112137 +6,13272767,Monocyte_CD14:ENSG00000112137 +6,13296788,Monocyte_CD14:ENSG00000112137 +6,37695848,Monocyte_CD14:ENSG00000112139 +6,53098339,Monocyte_CD14:ENSG00000112146 +6,89828048,Monocyte_CD14:ENSG00000112159 +6,39111327,Monocyte_CD14:ENSG00000112167 +6,41312120,Monocyte_CD14:ENSG00000112195 +6,57098921,Monocyte_CD14:ENSG00000112200 +6,57211754,Monocyte_CD14:ENSG00000112210 +6,62163278,Monocyte_CD14:ENSG00000112232 +6,99523553,Monocyte_CD14:ENSG00000112237 +6,100815608,Monocyte_CD14:ENSG00000112249 +6,100880886,Monocyte_CD14:ENSG00000112249 +6,110075473,Monocyte_CD14:ENSG00000112290 +6,110182584,Monocyte_CD14:ENSG00000112290 +6,106496615,Monocyte_CD14:ENSG00000112297 +6,106501519,Monocyte_CD14:ENSG00000112297 +6,132714186,Monocyte_CD14:ENSG00000112299 +6,132746545,Monocyte_CD14:ENSG00000112299 +6,132748081,Monocyte_CD14:ENSG00000112299 +6,132751610,Monocyte_CD14:ENSG00000112299 +6,133135069,Monocyte_CD14:ENSG00000112299 +6,132714186,Monocyte_CD14:ENSG00000112303 +6,132742205,Monocyte_CD14:ENSG00000112303 +6,132743457,Monocyte_CD14:ENSG00000112303 +6,132746545,Monocyte_CD14:ENSG00000112303 +6,132748081,Monocyte_CD14:ENSG00000112303 +6,132751610,Monocyte_CD14:ENSG00000112303 +6,132752705,Monocyte_CD14:ENSG00000112303 +6,132755780,Monocyte_CD14:ENSG00000112303 +6,24720796,Monocyte_CD14:ENSG00000112304 +6,70668485,Monocyte_CD14:ENSG00000112305 +6,132814557,Monocyte_CD14:ENSG00000112306 +6,132825657,Monocyte_CD14:ENSG00000112306 +6,24709490,Monocyte_CD14:ENSG00000112308 +6,24736435,Monocyte_CD14:ENSG00000112308 +6,24746045,Monocyte_CD14:ENSG00000112308 +6,70787755,Monocyte_CD14:ENSG00000112309 +6,108249781,Monocyte_CD14:ENSG00000112335 +6,135049570,Monocyte_CD14:ENSG00000112339 +6,25955641,Monocyte_CD14:ENSG00000112343 +6,26037373,Monocyte_CD14:ENSG00000112343 +6,26056710,Monocyte_CD14:ENSG00000112343 +6,26070475,Monocyte_CD14:ENSG00000112343 +6,139137817,Monocyte_CD14:ENSG00000112406 +6,139336150,Monocyte_CD14:ENSG00000112406 +6,142381452,Monocyte_CD14:ENSG00000112414 +6,143531384,Monocyte_CD14:ENSG00000112419 +6,143541907,Monocyte_CD14:ENSG00000112419 +6,143829889,Monocyte_CD14:ENSG00000112419 +6,145710165,Monocyte_CD14:ENSG00000112425 +6,167119267,Monocyte_CD14:ENSG00000112486 +6,163352781,Monocyte_CD14:ENSG00000112531 +6,163354411,Monocyte_CD14:ENSG00000112531 +6,163408503,Monocyte_CD14:ENSG00000112531 +6,41706362,Monocyte_CD14:ENSG00000112561 +6,42021004,Monocyte_CD14:ENSG00000112576 +6,41846271,Monocyte_CD14:ENSG00000112578 +6,170306290,Monocyte_CD14:ENSG00000112584 +6,42199722,Monocyte_CD14:ENSG00000112599 +6,43226209,Monocyte_CD14:ENSG00000112667 +6,234628,Monocyte_CD14:ENSG00000112679 +6,275746,Monocyte_CD14:ENSG00000112679 +6,521147,Monocyte_CD14:ENSG00000112685 +6,692700,Monocyte_CD14:ENSG00000112685 +6,692805,Monocyte_CD14:ENSG00000112685 +6,75340887,Monocyte_CD14:ENSG00000112695 +6,75340887,Monocyte_CD14:ENSG00000112697 +6,2333901,Monocyte_CD14:ENSG00000112699 +6,75565109,Monocyte_CD14:ENSG00000112701 +6,75655779,Monocyte_CD14:ENSG00000112701 +6,75844876,Monocyte_CD14:ENSG00000112701 +6,43725262,Monocyte_CD14:ENSG00000112715 +6,43725357,Monocyte_CD14:ENSG00000112715 +6,43770613,Monocyte_CD14:ENSG00000112715 +6,44218164,Monocyte_CD14:ENSG00000112759 +6,26408721,Monocyte_CD14:ENSG00000112763 +6,26458297,Monocyte_CD14:ENSG00000112763 +6,6580519,Monocyte_CD14:ENSG00000112799 +6,6583067,Monocyte_CD14:ENSG00000112799 +6,6590192,Monocyte_CD14:ENSG00000112799 +6,6592241,Monocyte_CD14:ENSG00000112799 +6,6626030,Monocyte_CD14:ENSG00000112799 +6,76292860,Monocyte_CD14:ENSG00000118407 +6,79178042,Monocyte_CD14:ENSG00000118418 +6,79234273,Monocyte_CD14:ENSG00000118418 +6,79266524,Monocyte_CD14:ENSG00000118418 +6,144047761,Monocyte_CD14:ENSG00000118495 +6,144064640,Monocyte_CD14:ENSG00000118495 +6,137873729,Monocyte_CD14:ENSG00000118503 +6,131132220,Monocyte_CD14:ENSG00000118507 +6,131139788,Monocyte_CD14:ENSG00000118507 +6,131187234,Monocyte_CD14:ENSG00000118507 +6,146543681,Monocyte_CD14:ENSG00000118508 +6,146573370,Monocyte_CD14:ENSG00000118508 +6,146596113,Monocyte_CD14:ENSG00000118508 +6,135205101,Monocyte_CD14:ENSG00000118513 +6,134998925,Monocyte_CD14:ENSG00000118514 +6,134236251,Monocyte_CD14:ENSG00000118515 +6,134413582,Monocyte_CD14:ENSG00000118515 +6,134698215,Monocyte_CD14:ENSG00000118515 +6,127457700,Monocyte_CD14:ENSG00000118518 +6,131825505,Monocyte_CD14:ENSG00000118523 +6,108913745,Monocyte_CD14:ENSG00000118690 +6,73623394,Monocyte_CD14:ENSG00000119899 +6,71253052,Monocyte_CD14:ENSG00000119900 +6,71306704,Monocyte_CD14:ENSG00000119900 +6,71333073,Monocyte_CD14:ENSG00000119900 +6,149775255,Monocyte_CD14:ENSG00000120253 +6,150886872,Monocyte_CD14:ENSG00000120254 +6,151453204,Monocyte_CD14:ENSG00000120262 +6,151509463,Monocyte_CD14:ENSG00000120262 +6,151586912,Monocyte_CD14:ENSG00000120262 +6,151625054,Monocyte_CD14:ENSG00000120262 +6,149786112,Monocyte_CD14:ENSG00000120265 +6,159736872,Monocyte_CD14:ENSG00000120437 +6,158127050,Monocyte_CD14:ENSG00000122335 +6,158178656,Monocyte_CD14:ENSG00000122335 +6,110872219,Monocyte_CD14:ENSG00000123505 +6,99569280,Monocyte_CD14:ENSG00000123552 +6,6320147,Monocyte_CD14:ENSG00000124491 +6,6331640,Monocyte_CD14:ENSG00000124491 +6,6338767,Monocyte_CD14:ENSG00000124491 +6,6355723,Monocyte_CD14:ENSG00000124491 +6,6384565,Monocyte_CD14:ENSG00000124491 +6,42316359,Monocyte_CD14:ENSG00000124496 +6,42508271,Monocyte_CD14:ENSG00000124496 +6,26383231,Monocyte_CD14:ENSG00000124508 +6,26391167,Monocyte_CD14:ENSG00000124508 +6,26392933,Monocyte_CD14:ENSG00000124508 +6,26404146,Monocyte_CD14:ENSG00000124508 +6,26521207,Monocyte_CD14:ENSG00000124508 +6,13574259,Monocyte_CD14:ENSG00000124523 +6,13733760,Monocyte_CD14:ENSG00000124523 +6,24422921,Monocyte_CD14:ENSG00000124532 +6,34745061,Monocyte_CD14:ENSG00000124562 +6,2951921,Monocyte_CD14:ENSG00000124570 +6,2991054,Monocyte_CD14:ENSG00000124570 +6,26230257,Monocyte_CD14:ENSG00000124575 +6,42963523,Monocyte_CD14:ENSG00000124587 +6,42994182,Monocyte_CD14:ENSG00000124587 +6,3003736,Monocyte_CD14:ENSG00000124588 +6,3009869,Monocyte_CD14:ENSG00000124588 +6,3017076,Monocyte_CD14:ENSG00000124588 +6,3030274,Monocyte_CD14:ENSG00000124588 +6,3030443,Monocyte_CD14:ENSG00000124588 +6,41063784,Monocyte_CD14:ENSG00000124602 +6,27378866,Monocyte_CD14:ENSG00000124613 +6,34332593,Monocyte_CD14:ENSG00000124614 +6,34414160,Monocyte_CD14:ENSG00000124614 +6,39934461,Monocyte_CD14:ENSG00000124615 +6,42963523,Monocyte_CD14:ENSG00000124713 +6,41272084,Monocyte_CD14:ENSG00000124731 +6,41272198,Monocyte_CD14:ENSG00000124731 +6,41274462,Monocyte_CD14:ENSG00000124731 +6,41280026,Monocyte_CD14:ENSG00000124731 +6,41299339,Monocyte_CD14:ENSG00000124731 +6,43042113,Monocyte_CD14:ENSG00000124733 +6,36651675,Monocyte_CD14:ENSG00000124762 +6,21856011,Monocyte_CD14:ENSG00000124766 +6,38694694,Monocyte_CD14:ENSG00000124767 +6,36727446,Monocyte_CD14:ENSG00000124772 +6,7221210,Monocyte_CD14:ENSG00000124782 +6,7313105,Monocyte_CD14:ENSG00000124783 +6,7325457,Monocyte_CD14:ENSG00000124783 +6,7442021,Monocyte_CD14:ENSG00000124784 +6,5995584,Monocyte_CD14:ENSG00000124785 +6,16305971,Monocyte_CD14:ENSG00000124788 +6,18216552,Monocyte_CD14:ENSG00000124795 +6,8071439,Monocyte_CD14:ENSG00000124802 +6,8075464,Monocyte_CD14:ENSG00000124802 +6,44821778,Monocyte_CD14:ENSG00000124813 +6,169696855,Monocyte_CD14:ENSG00000130024 +6,158232978,Monocyte_CD14:ENSG00000130338 +6,158296754,Monocyte_CD14:ENSG00000130338 +6,158329298,Monocyte_CD14:ENSG00000130338 +6,157835196,Monocyte_CD14:ENSG00000130340 +6,158060308,Monocyte_CD14:ENSG00000130340 +6,106629627,Monocyte_CD14:ENSG00000130347 +6,106629627,Monocyte_CD14:ENSG00000130348 +6,158978316,Monocyte_CD14:ENSG00000130363 +6,158999770,Monocyte_CD14:ENSG00000130363 +6,167706443,Monocyte_CD14:ENSG00000130396 +6,167799847,Monocyte_CD14:ENSG00000130396 +6,149490760,Monocyte_CD14:ENSG00000131013 +6,152576087,Monocyte_CD14:ENSG00000131018 +6,152626290,Monocyte_CD14:ENSG00000131018 +6,152634723,Monocyte_CD14:ENSG00000131018 +6,152634828,Monocyte_CD14:ENSG00000131018 +6,149768444,Monocyte_CD14:ENSG00000131023 +6,73522606,Monocyte_CD14:ENSG00000135297 +6,68588486,Monocyte_CD14:ENSG00000135298 +6,68740973,Monocyte_CD14:ENSG00000135298 +6,84242131,Monocyte_CD14:ENSG00000135315 +6,87413878,Monocyte_CD14:ENSG00000135334 +6,90595906,Monocyte_CD14:ENSG00000135341 +6,136365927,Monocyte_CD14:ENSG00000135525 +6,109291993,Monocyte_CD14:ENSG00000135535 +6,109325637,Monocyte_CD14:ENSG00000135535 +6,109357496,Monocyte_CD14:ENSG00000135535 +6,109441033,Monocyte_CD14:ENSG00000135535 +6,138591696,Monocyte_CD14:ENSG00000135540 +6,135497759,Monocyte_CD14:ENSG00000135541 +6,122710243,Monocyte_CD14:ENSG00000135549 +6,109441033,Monocyte_CD14:ENSG00000135587 +6,109266652,Monocyte_CD14:ENSG00000135596 +6,138968878,Monocyte_CD14:ENSG00000135597 +6,144163467,Monocyte_CD14:ENSG00000135604 +6,42933382,Monocyte_CD14:ENSG00000137161 +6,41546002,Monocyte_CD14:ENSG00000137166 +6,17933879,Monocyte_CD14:ENSG00000137177 +6,17974662,Monocyte_CD14:ENSG00000137177 +6,28120054,Monocyte_CD14:ENSG00000137185 +6,16213229,Monocyte_CD14:ENSG00000137198 +6,44091592,Monocyte_CD14:ENSG00000137216 +6,234628,Monocyte_CD14:ENSG00000137265 +6,299435,Monocyte_CD14:ENSG00000137265 +6,396321,Monocyte_CD14:ENSG00000137265 +6,3157575,Monocyte_CD14:ENSG00000137267 +6,33709779,Monocyte_CD14:ENSG00000137288 +6,34222672,Monocyte_CD14:ENSG00000137309 +6,18153099,Monocyte_CD14:ENSG00000137364 +6,18160866,Monocyte_CD14:ENSG00000137364 +6,18173287,Monocyte_CD14:ENSG00000137364 +6,18179241,Monocyte_CD14:ENSG00000137364 +6,18330550,Monocyte_CD14:ENSG00000137393 +6,18330687,Monocyte_CD14:ENSG00000137393 +6,18399163,Monocyte_CD14:ENSG00000137393 +6,18412238,Monocyte_CD14:ENSG00000137393 +6,18426377,Monocyte_CD14:ENSG00000137393 +6,18467009,Monocyte_CD14:ENSG00000137393 +6,36981751,Monocyte_CD14:ENSG00000137409 +6,42069890,Monocyte_CD14:ENSG00000137413 +6,17704730,Monocyte_CD14:ENSG00000137414 +6,3855412,Monocyte_CD14:ENSG00000145945 +6,2777108,Monocyte_CD14:ENSG00000145949 +6,13242863,Monocyte_CD14:ENSG00000145979 +6,13296788,Monocyte_CD14:ENSG00000145979 +6,13333518,Monocyte_CD14:ENSG00000145979 +6,13347772,Monocyte_CD14:ENSG00000145979 +6,5261233,Monocyte_CD14:ENSG00000145982 +6,5261921,Monocyte_CD14:ENSG00000145982 +6,13392835,Monocyte_CD14:ENSG00000145990 +6,46705206,Monocyte_CD14:ENSG00000146070 +6,46766768,Monocyte_CD14:ENSG00000146070 +6,46771074,Monocyte_CD14:ENSG00000146070 +6,46771726,Monocyte_CD14:ENSG00000146070 +6,46771887,Monocyte_CD14:ENSG00000146070 +6,46773994,Monocyte_CD14:ENSG00000146070 +6,49486568,Monocyte_CD14:ENSG00000146085 +6,26597156,Monocyte_CD14:ENSG00000146109 +6,37007455,Monocyte_CD14:ENSG00000146192 +6,37010969,Monocyte_CD14:ENSG00000146192 +6,37022408,Monocyte_CD14:ENSG00000146192 +6,37029064,Monocyte_CD14:ENSG00000146192 +6,43301441,Monocyte_CD14:ENSG00000146215 +6,43445127,Monocyte_CD14:ENSG00000146215 +6,42888761,Monocyte_CD14:ENSG00000146223 +6,44264337,Monocyte_CD14:ENSG00000146232 +6,82364851,Monocyte_CD14:ENSG00000146242 +6,82367074,Monocyte_CD14:ENSG00000146242 +6,78867927,Monocyte_CD14:ENSG00000146243 +6,78863205,Monocyte_CD14:ENSG00000146247 +6,97293556,Monocyte_CD14:ENSG00000146263 +6,89062988,Monocyte_CD14:ENSG00000146278 +6,89085366,Monocyte_CD14:ENSG00000146281 +6,125003615,Monocyte_CD14:ENSG00000146373 +6,129703484,Monocyte_CD14:ENSG00000146376 +6,129710070,Monocyte_CD14:ENSG00000146376 +6,138968878,Monocyte_CD14:ENSG00000146386 +6,139022755,Monocyte_CD14:ENSG00000146386 +6,139023999,Monocyte_CD14:ENSG00000146386 +6,139029045,Monocyte_CD14:ENSG00000146386 +6,139030056,Monocyte_CD14:ENSG00000146386 +6,139033855,Monocyte_CD14:ENSG00000146386 +6,132787883,Monocyte_CD14:ENSG00000146409 +6,132810276,Monocyte_CD14:ENSG00000146409 +6,145867766,Monocyte_CD14:ENSG00000146414 +6,143032401,Monocyte_CD14:ENSG00000146416 +6,158655357,Monocyte_CD14:ENSG00000146425 +6,158558961,Monocyte_CD14:ENSG00000146433 +6,159685150,Monocyte_CD14:ENSG00000146453 +6,159761764,Monocyte_CD14:ENSG00000146457 +6,151461409,Monocyte_CD14:ENSG00000146476 +6,56362609,Monocyte_CD14:ENSG00000151914 +6,56932776,Monocyte_CD14:ENSG00000151914 +6,144677157,Monocyte_CD14:ENSG00000152818 +6,4691999,Monocyte_CD14:ENSG00000153046 +6,10887020,Monocyte_CD14:ENSG00000153157 +6,10902206,Monocyte_CD14:ENSG00000153157 +6,46680392,Monocyte_CD14:ENSG00000153291 +6,116657010,Monocyte_CD14:ENSG00000153975 +6,117682416,Monocyte_CD14:ENSG00000153989 +6,70593692,Monocyte_CD14:ENSG00000154079 +6,109691071,Monocyte_CD14:ENSG00000155085 +6,110872219,Monocyte_CD14:ENSG00000155111 +6,151453204,Monocyte_CD14:ENSG00000155906 +6,73522606,Monocyte_CD14:ENSG00000156508 +6,73695077,Monocyte_CD14:ENSG00000156535 +6,73695791,Monocyte_CD14:ENSG00000156535 +6,37819250,Monocyte_CD14:ENSG00000156639 +6,38052679,Monocyte_CD14:ENSG00000156639 +6,36129574,Monocyte_CD14:ENSG00000156711 +6,1286215,Monocyte_CD14:ENSG00000164379 +6,87487272,Monocyte_CD14:ENSG00000164414 +6,87600803,Monocyte_CD14:ENSG00000164414 +6,73445623,Monocyte_CD14:ENSG00000164430 +6,73452039,Monocyte_CD14:ENSG00000164430 +6,73494508,Monocyte_CD14:ENSG00000164430 +6,139336150,Monocyte_CD14:ENSG00000164440 +6,139336150,Monocyte_CD14:ENSG00000164442 +6,139639696,Monocyte_CD14:ENSG00000164442 +6,117470000,Monocyte_CD14:ENSG00000164465 +6,107179843,Monocyte_CD14:ENSG00000164494 +6,41871079,Monocyte_CD14:ENSG00000164663 +6,158624132,Monocyte_CD14:ENSG00000164674 +6,159042573,Monocyte_CD14:ENSG00000164691 +6,18160828,Monocyte_CD14:ENSG00000165097 +6,18170241,Monocyte_CD14:ENSG00000165097 +6,18203483,Monocyte_CD14:ENSG00000165097 +6,57111371,Monocyte_CD14:ENSG00000168116 +6,69596512,Monocyte_CD14:ENSG00000168216 +6,26761740,Monocyte_CD14:ENSG00000168298 +6,110182584,Monocyte_CD14:ENSG00000168438 +6,7443990,Monocyte_CD14:ENSG00000168566 +6,144068442,Monocyte_CD14:ENSG00000169976 +6,2858295,Monocyte_CD14:ENSG00000170542 +6,2898066,Monocyte_CD14:ENSG00000170542 +6,2903350,Monocyte_CD14:ENSG00000170542 +6,52352577,Monocyte_CD14:ENSG00000170915 +6,52355995,Monocyte_CD14:ENSG00000170915 +6,52360716,Monocyte_CD14:ENSG00000170915 +6,52386184,Monocyte_CD14:ENSG00000170915 +6,43581643,Monocyte_CD14:ENSG00000171453 +6,43320066,Monocyte_CD14:ENSG00000171467 +6,20217180,Monocyte_CD14:ENSG00000172197 +6,95577149,Monocyte_CD14:ENSG00000172469 +6,95577512,Monocyte_CD14:ENSG00000172469 +6,122710243,Monocyte_CD14:ENSG00000172594 +6,122765168,Monocyte_CD14:ENSG00000172594 +6,122776693,Monocyte_CD14:ENSG00000172594 +6,122804266,Monocyte_CD14:ENSG00000172594 +6,111259358,Monocyte_CD14:ENSG00000173214 +6,111259387,Monocyte_CD14:ENSG00000173214 +6,111464016,Monocyte_CD14:ENSG00000173214 +6,157443937,Monocyte_CD14:ENSG00000175048 +6,157535931,Monocyte_CD14:ENSG00000175048 +6,149427449,Monocyte_CD14:ENSG00000177688 +6,149489289,Monocyte_CD14:ENSG00000178199 +6,116103490,Monocyte_CD14:ENSG00000178425 +6,3261431,Monocyte_CD14:ENSG00000180822 +6,44090521,Monocyte_CD14:ENSG00000180992 +6,44124800,Monocyte_CD14:ENSG00000180992 +6,26538315,Monocyte_CD14:ENSG00000182952 +6,26566140,Monocyte_CD14:ENSG00000182952 +6,108966899,Monocyte_CD14:ENSG00000183137 +6,169702171,Monocyte_CD14:ENSG00000185127 +6,26366283,Monocyte_CD14:ENSG00000186470 +6,116254113,Monocyte_CD14:ENSG00000187189 +6,18102327,Monocyte_CD14:ENSG00000187566 +6,26056710,Monocyte_CD14:ENSG00000187837 +6,41226119,Monocyte_CD14:ENSG00000188056 +6,41232874,Monocyte_CD14:ENSG00000188056 +6,7995597,Monocyte_CD14:ENSG00000188428 +6,8012800,Monocyte_CD14:ENSG00000188428 +6,116462167,Monocyte_CD14:ENSG00000188820 +6,116462227,Monocyte_CD14:ENSG00000188820 +6,116462456,Monocyte_CD14:ENSG00000188820 +6,116476251,Monocyte_CD14:ENSG00000188820 +6,116280394,Monocyte_CD14:ENSG00000189241 +6,127518698,Monocyte_CD14:ENSG00000189367 +6,45389962,Monocyte_CD14:ENSG00000196284 +6,113954850,Monocyte_CD14:ENSG00000196591 +6,34624313,Monocyte_CD14:ENSG00000196821 +6,34701371,Monocyte_CD14:ENSG00000196821 +6,26079410,Monocyte_CD14:ENSG00000197061 +6,27821045,Monocyte_CD14:ENSG00000197238 +6,26243006,Monocyte_CD14:ENSG00000197409 +6,136777814,Monocyte_CD14:ENSG00000197442 +6,110978477,Monocyte_CD14:ENSG00000197498 +6,47363306,Monocyte_CD14:ENSG00000198087 +6,47469961,Monocyte_CD14:ENSG00000198087 +6,47564861,Monocyte_CD14:ENSG00000198087 +6,47605943,Monocyte_CD14:ENSG00000198087 +6,28147406,Monocyte_CD14:ENSG00000198315 +6,4119282,Monocyte_CD14:ENSG00000198721 +6,4156494,Monocyte_CD14:ENSG00000198721 +6,35469145,Monocyte_CD14:ENSG00000198755 +6,35469148,Monocyte_CD14:ENSG00000198755 +6,166337928,Monocyte_CD14:ENSG00000198818 +6,89338882,Monocyte_CD14:ENSG00000198833 +6,89350591,Monocyte_CD14:ENSG00000198833 +6,129875607,Monocyte_CD14:ENSG00000198945 +6,130053316,Monocyte_CD14:ENSG00000198945 +6,138968878,Monocyte_CD14:ENSG00000203734 +6,126340712,Monocyte_CD14:ENSG00000203760 +6,110420955,Monocyte_CD14:ENSG00000203797 +6,87348206,Monocyte_CD14:ENSG00000203872 +6,85678170,Monocyte_CD14:ENSG00000203875 +6,11519418,Monocyte_CD14:ENSG00000205269 +6,11537143,Monocyte_CD14:ENSG00000205269 +6,11569367,Monocyte_CD14:ENSG00000205269 +6,167020908,Monocyte_CD14:ENSG00000213066 +6,5260583,Monocyte_CD14:ENSG00000214113 +6,5261233,Monocyte_CD14:ENSG00000214113 +6,127518698,Monocyte_CD14:ENSG00000214338 +6,41846271,Monocyte_CD14:ENSG00000214736 +6,13188634,Monocyte_CD14:ENSG00000215022 +6,6708614,Monocyte_CD14:ENSG00000216863 +6,5061360,Monocyte_CD14:ENSG00000219607 +6,42865471,Monocyte_CD14:ENSG00000221821 +6,2985020,Monocyte_CD14:ENSG00000224846 +6,82755200,Monocyte_CD14:ENSG00000224995 +6,138591696,Monocyte_CD14:ENSG00000225177 +6,138696989,Monocyte_CD14:ENSG00000225177 +6,52590246,Monocyte_CD14:ENSG00000225791 +6,75294846,Monocyte_CD14:ENSG00000225793 +6,149234985,Monocyte_CD14:ENSG00000225924 +6,137945111,Monocyte_CD14:ENSG00000226004 +6,6708448,Monocyte_CD14:ENSG00000226281 +6,6857407,Monocyte_CD14:ENSG00000226281 +6,169216236,Monocyte_CD14:ENSG00000226445 +6,169224141,Monocyte_CD14:ENSG00000226445 +6,111908645,Monocyte_CD14:ENSG00000227012 +6,170272132,Monocyte_CD14:ENSG00000227508 +6,26491481,Monocyte_CD14:ENSG00000228223 +6,26521207,Monocyte_CD14:ENSG00000228223 +6,99430743,Monocyte_CD14:ENSG00000228506 +6,143530476,Monocyte_CD14:ENSG00000229017 +6,2875846,Monocyte_CD14:ENSG00000230438 +6,2875867,Monocyte_CD14:ENSG00000230438 +6,2876301,Monocyte_CD14:ENSG00000230438 +6,2878374,Monocyte_CD14:ENSG00000230438 +6,68308075,Monocyte_CD14:ENSG00000230910 +6,68740973,Monocyte_CD14:ENSG00000230910 +6,135497759,Monocyte_CD14:ENSG00000231028 +6,139906995,Monocyte_CD14:ENSG00000231426 +6,134998925,Monocyte_CD14:ENSG00000232876 +6,147199829,Monocyte_CD14:ENSG00000233452 +6,27998865,Monocyte_CD14:ENSG00000233822 +6,140859613,Monocyte_CD14:ENSG00000234147 +6,140898401,Monocyte_CD14:ENSG00000234147 +6,140898523,Monocyte_CD14:ENSG00000234147 +6,140939234,Monocyte_CD14:ENSG00000234147 +6,141013486,Monocyte_CD14:ENSG00000234147 +6,88449573,Monocyte_CD14:ENSG00000234426 +6,132750716,Monocyte_CD14:ENSG00000234484 +6,155314451,Monocyte_CD14:ENSG00000235381 +6,15084894,Monocyte_CD14:ENSG00000235488 +6,145592283,Monocyte_CD14:ENSG00000235652 +6,159778421,Monocyte_CD14:ENSG00000237927 +6,7255330,Monocyte_CD14:ENSG00000238221 +6,7910202,Monocyte_CD14:ENSG00000239264 +6,2991054,Monocyte_CD14:ENSG00000244041 +6,111608659,Monocyte_CD14:ENSG00000255389 +6,36651675,Monocyte_CD14:ENSG00000255587 +6,36701206,Monocyte_CD14:ENSG00000255587 +6,36708959,Monocyte_CD14:ENSG00000255587 +6,100880886,Monocyte_CD14:ENSG00000260000 +6,110484622,Monocyte_CD14:ENSG00000260188 +6,109715504,Monocyte_CD14:ENSG00000260273 +6,24838366,Monocyte_CD14:ENSG00000260286 +6,6708614,Monocyte_CD14:ENSG00000261211 +6,95569978,Monocyte_CD14:ENSG00000261366 +6,95586684,Monocyte_CD14:ENSG00000261366 +6,26881447,Monocyte_CD14:ENSG00000261584 +6,145632202,Monocyte_CD14:ENSG00000270638 +6,111259387,Monocyte_CD14:ENSG00000271789 +6,158031342,Monocyte_CD14:ENSG00000271913 +6,158452756,Monocyte_CD14:ENSG00000271913 +6,89092075,Monocyte_CD14:ENSG00000271931 +6,158097976,Monocyte_CD14:ENSG00000272047 +6,158178656,Monocyte_CD14:ENSG00000272047 +6,158184657,Monocyte_CD14:ENSG00000272047 +6,22063113,Monocyte_CD14:ENSG00000272168 +6,136553313,Monocyte_CD14:ENSG00000272189 +6,3068823,Monocyte_CD14:ENSG00000272277 +6,1529224,Monocyte_CD14:ENSG00000272279 +6,58387047,Monocyte_CD14:ENSG00000272316 +6,34376801,Monocyte_CD14:ENSG00000272325 +6,15788149,Monocyte_CD14:ENSG00000272341 +6,24700915,Monocyte_CD14:ENSG00000272345 +6,24709490,Monocyte_CD14:ENSG00000272345 +6,111110435,Monocyte_CD14:ENSG00000272356 +6,13288416,Monocyte_CD14:ENSG00000272379 +6,25992915,Monocyte_CD14:ENSG00000272462 +6,711150,Monocyte_CD14:ENSG00000272463 +6,26079410,Monocyte_CD14:ENSG00000272810 +6,26144930,Monocyte_CD14:ENSG00000274290 +6,26242549,Monocyte_CD14:ENSG00000274618 +6,26208728,Monocyte_CD14:ENSG00000274750 +6,25992051,Monocyte_CD14:ENSG00000275714 +6,26612244,Monocyte_CD14:ENSG00000275846 +6,26033581,Monocyte_CD14:ENSG00000276410 +6,113411193,Monocyte_CD14:ENSG00000277443 +6,113653694,Monocyte_CD14:ENSG00000277443 +6,113695931,Monocyte_CD14:ENSG00000277443 +6,113697774,Monocyte_CD14:ENSG00000277443 +6,113874327,Monocyte_CD14:ENSG00000277443 +6,26122729,Monocyte_CD14:ENSG00000278637 +6,149563461,Monocyte_CD14:ENSG00000278899 +6,99523553,Monocyte_CD14:ENSG00000279170 +6,99569280,Monocyte_CD14:ENSG00000279170 +6,99573680,Monocyte_CD14:ENSG00000279170 +6,144047761,Monocyte_CD14:ENSG00000283122 +6,144064640,Monocyte_CD14:ENSG00000283122 +6,149247058,Monocyte_CD14:ENSG00000283608 +6,8435650,Monocyte_CD14:ENSG00000285219 +6,159048220,Monocyte_CD14:ENSG00000285492 +6,159121284,Monocyte_CD14:ENSG00000285492 +6,26704587,Monocyte_CD14:ENSG00000285571 +6,166965131,Monocyte_CD14:ENSG00000285730 +6,136791999,Monocyte_CD14:ENSG00000286646 +6,166308786,Monocyte_CD14:ENSG00000286760 +6,134288153,Monocyte_CD14:ENSG00000286887 +6,285695,Monocyte_CD14:ENSG00000287265 +6,44096433,Monocyte_CD14:ENSG00000287562 +6,170089797,Monocyte_CD14:ENSG00000287823 +6,42929210,Monocyte_CD14:ENSG00000287825 +6,6736939,Monocyte_CD14:ENSG00000288046 +6,145458875,Monocyte_CD14:ENSG00000288056 +21,41793068,Monocyte_CD14:ENSG00000141956 +21,44310799,Monocyte_CD14:ENSG00000141959 +21,44326342,Monocyte_CD14:ENSG00000141959 +21,44329258,Monocyte_CD14:ENSG00000141959 +21,44368672,Monocyte_CD14:ENSG00000141959 +21,45851095,Monocyte_CD14:ENSG00000142156 +21,33319212,Monocyte_CD14:ENSG00000142166 +21,33324959,Monocyte_CD14:ENSG00000142166 +21,31447643,Monocyte_CD14:ENSG00000142168 +21,31868343,Monocyte_CD14:ENSG00000142168 +21,44356197,Monocyte_CD14:ENSG00000142185 +21,33443386,Monocyte_CD14:ENSG00000142188 +21,33453568,Monocyte_CD14:ENSG00000142188 +21,26156328,Monocyte_CD14:ENSG00000142192 +21,26565220,Monocyte_CD14:ENSG00000142192 +21,36136536,Monocyte_CD14:ENSG00000142197 +21,36166099,Monocyte_CD14:ENSG00000142197 +21,36180296,Monocyte_CD14:ENSG00000142197 +21,32385638,Monocyte_CD14:ENSG00000142207 +21,17787983,Monocyte_CD14:ENSG00000154640 +21,17787983,Monocyte_CD14:ENSG00000154642 +21,25591094,Monocyte_CD14:ENSG00000154719 +21,26944127,Monocyte_CD14:ENSG00000154736 +21,26967400,Monocyte_CD14:ENSG00000154736 +21,26997704,Monocyte_CD14:ENSG00000154736 +21,27095017,Monocyte_CD14:ENSG00000154736 +21,27275540,Monocyte_CD14:ENSG00000154736 +21,14382665,Monocyte_CD14:ENSG00000155304 +21,14592054,Monocyte_CD14:ENSG00000155307 +21,14593501,Monocyte_CD14:ENSG00000155307 +21,14613552,Monocyte_CD14:ENSG00000155307 +21,15686337,Monocyte_CD14:ENSG00000155313 +21,29003824,Monocyte_CD14:ENSG00000156253 +21,29073627,Monocyte_CD14:ENSG00000156261 +21,29111830,Monocyte_CD14:ENSG00000156261 +21,29159384,Monocyte_CD14:ENSG00000156265 +21,29365495,Monocyte_CD14:ENSG00000156273 +21,31226986,Monocyte_CD14:ENSG00000156299 +21,31339567,Monocyte_CD14:ENSG00000156299 +21,31447643,Monocyte_CD14:ENSG00000156299 +21,37072695,Monocyte_CD14:ENSG00000157538 +21,37532049,Monocyte_CD14:ENSG00000157540 +21,38237949,Monocyte_CD14:ENSG00000157551 +21,38283853,Monocyte_CD14:ENSG00000157551 +21,38326579,Monocyte_CD14:ENSG00000157551 +21,38885259,Monocyte_CD14:ENSG00000157557 +21,41426103,Monocyte_CD14:ENSG00000157601 +21,41426246,Monocyte_CD14:ENSG00000157601 +21,41929504,Monocyte_CD14:ENSG00000157617 +21,32699829,Monocyte_CD14:ENSG00000159079 +21,32653142,Monocyte_CD14:ENSG00000159086 +21,32741169,Monocyte_CD14:ENSG00000159086 +21,32870162,Monocyte_CD14:ENSG00000159086 +21,33216567,Monocyte_CD14:ENSG00000159110 +21,33229937,Monocyte_CD14:ENSG00000159110 +21,33237291,Monocyte_CD14:ENSG00000159110 +21,33378912,Monocyte_CD14:ENSG00000159128 +21,33397598,Monocyte_CD14:ENSG00000159128 +21,36072398,Monocyte_CD14:ENSG00000159228 +21,36072399,Monocyte_CD14:ENSG00000159228 +21,36074301,Monocyte_CD14:ENSG00000159228 +21,36210490,Monocyte_CD14:ENSG00000159228 +21,36298399,Monocyte_CD14:ENSG00000159256 +21,36346446,Monocyte_CD14:ENSG00000159256 +21,36958785,Monocyte_CD14:ENSG00000159267 +21,42135548,Monocyte_CD14:ENSG00000160179 +21,42194445,Monocyte_CD14:ENSG00000160179 +21,42567984,Monocyte_CD14:ENSG00000160190 +21,42738295,Monocyte_CD14:ENSG00000160191 +21,42846952,Monocyte_CD14:ENSG00000160193 +21,42849750,Monocyte_CD14:ENSG00000160193 +21,42903351,Monocyte_CD14:ENSG00000160194 +21,42903610,Monocyte_CD14:ENSG00000160194 +21,42925856,Monocyte_CD14:ENSG00000160194 +21,42973944,Monocyte_CD14:ENSG00000160199 +21,43093390,Monocyte_CD14:ENSG00000160201 +21,43105109,Monocyte_CD14:ENSG00000160201 +21,43660671,Monocyte_CD14:ENSG00000160208 +21,43732619,Monocyte_CD14:ENSG00000160209 +21,43756452,Monocyte_CD14:ENSG00000160209 +21,43768397,Monocyte_CD14:ENSG00000160213 +21,43777595,Monocyte_CD14:ENSG00000160213 +21,43781951,Monocyte_CD14:ENSG00000160213 +21,43807958,Monocyte_CD14:ENSG00000160214 +21,43984239,Monocyte_CD14:ENSG00000160216 +21,44145591,Monocyte_CD14:ENSG00000160221 +21,44160018,Monocyte_CD14:ENSG00000160223 +21,44205162,Monocyte_CD14:ENSG00000160223 +21,44240952,Monocyte_CD14:ENSG00000160223 +21,44322642,Monocyte_CD14:ENSG00000160226 +21,44338662,Monocyte_CD14:ENSG00000160226 +21,44483934,Monocyte_CD14:ENSG00000160233 +21,44908184,Monocyte_CD14:ENSG00000160255 +21,44913154,Monocyte_CD14:ENSG00000160255 +21,44979663,Monocyte_CD14:ENSG00000160256 +21,46124430,Monocyte_CD14:ENSG00000160284 +21,46167748,Monocyte_CD14:ENSG00000160284 +21,46179366,Monocyte_CD14:ENSG00000160284 +21,46279942,Monocyte_CD14:ENSG00000160284 +21,46289825,Monocyte_CD14:ENSG00000160284 +21,46306497,Monocyte_CD14:ENSG00000160284 +21,46294693,Monocyte_CD14:ENSG00000160285 +21,46527257,Monocyte_CD14:ENSG00000160294 +21,46565316,Monocyte_CD14:ENSG00000160298 +21,46360246,Monocyte_CD14:ENSG00000160299 +21,46366609,Monocyte_CD14:ENSG00000160299 +21,46418120,Monocyte_CD14:ENSG00000160305 +21,46597307,Monocyte_CD14:ENSG00000160305 +21,46622601,Monocyte_CD14:ENSG00000160310 +21,46669100,Monocyte_CD14:ENSG00000160310 +21,26565220,Monocyte_CD14:ENSG00000166265 +21,32385638,Monocyte_CD14:ENSG00000166979 +21,29458073,Monocyte_CD14:ENSG00000174680 +21,34492527,Monocyte_CD14:ENSG00000180509 +21,15221933,Monocyte_CD14:ENSG00000180530 +21,39392123,Monocyte_CD14:ENSG00000182093 +21,46186597,Monocyte_CD14:ENSG00000182362 +21,46207176,Monocyte_CD14:ENSG00000182362 +21,46289825,Monocyte_CD14:ENSG00000182362 +21,46294693,Monocyte_CD14:ENSG00000182362 +21,46324568,Monocyte_CD14:ENSG00000182362 +21,37072590,Monocyte_CD14:ENSG00000182670 +21,37122423,Monocyte_CD14:ENSG00000182670 +21,45480632,Monocyte_CD14:ENSG00000182871 +21,45496823,Monocyte_CD14:ENSG00000182871 +21,45510508,Monocyte_CD14:ENSG00000182871 +21,44853728,Monocyte_CD14:ENSG00000183255 +21,44867218,Monocyte_CD14:ENSG00000183255 +21,44870060,Monocyte_CD14:ENSG00000183255 +21,44875071,Monocyte_CD14:ENSG00000183255 +21,44886557,Monocyte_CD14:ENSG00000183255 +21,41362064,Monocyte_CD14:ENSG00000183486 +21,39175078,Monocyte_CD14:ENSG00000183527 +21,45810429,Monocyte_CD14:ENSG00000183570 +21,41317710,Monocyte_CD14:ENSG00000183844 +21,32895796,Monocyte_CD14:ENSG00000184221 +21,33059534,Monocyte_CD14:ENSG00000184221 +21,33059789,Monocyte_CD14:ENSG00000184221 +21,33066900,Monocyte_CD14:ENSG00000184221 +21,33067742,Monocyte_CD14:ENSG00000184221 +21,42108710,Monocyte_CD14:ENSG00000184385 +21,44800695,Monocyte_CD14:ENSG00000184787 +21,44817494,Monocyte_CD14:ENSG00000184787 +21,44844967,Monocyte_CD14:ENSG00000184900 +21,39197582,Monocyte_CD14:ENSG00000185658 +21,39289955,Monocyte_CD14:ENSG00000185658 +21,37072695,Monocyte_CD14:ENSG00000185808 +21,35993029,Monocyte_CD14:ENSG00000185917 +21,45057215,Monocyte_CD14:ENSG00000197381 +21,45086064,Monocyte_CD14:ENSG00000197381 +21,34004579,Monocyte_CD14:ENSG00000198743 +21,34199964,Monocyte_CD14:ENSG00000198743 +21,39344283,Monocyte_CD14:ENSG00000205581 +21,39360005,Monocyte_CD14:ENSG00000205581 +21,39361299,Monocyte_CD14:ENSG00000205581 +21,39371139,Monocyte_CD14:ENSG00000205581 +21,33657769,Monocyte_CD14:ENSG00000205726 +21,33066900,Monocyte_CD14:ENSG00000205927 +21,32775534,Monocyte_CD14:ENSG00000205930 +21,43787032,Monocyte_CD14:ENSG00000215458 +21,43804049,Monocyte_CD14:ENSG00000215458 +21,29193723,Monocyte_CD14:ENSG00000215533 +21,29195373,Monocyte_CD14:ENSG00000215533 +21,45291442,Monocyte_CD14:ENSG00000223768 +21,33266060,Monocyte_CD14:ENSG00000223799 +21,33266554,Monocyte_CD14:ENSG00000223799 +21,33268483,Monocyte_CD14:ENSG00000223799 +21,29193723,Monocyte_CD14:ENSG00000224649 +21,44157547,Monocyte_CD14:ENSG00000225331 +21,44160018,Monocyte_CD14:ENSG00000225331 +21,44924773,Monocyte_CD14:ENSG00000227039 +21,44928849,Monocyte_CD14:ENSG00000227039 +21,44929116,Monocyte_CD14:ENSG00000227039 +21,44974217,Monocyte_CD14:ENSG00000227039 +21,32099085,Monocyte_CD14:ENSG00000227256 +21,33066900,Monocyte_CD14:ENSG00000227757 +21,36346446,Monocyte_CD14:ENSG00000228107 +21,45619377,Monocyte_CD14:ENSG00000233922 +21,29458073,Monocyte_CD14:ENSG00000234293 +21,36136536,Monocyte_CD14:ENSG00000236830 +21,24112240,Monocyte_CD14:ENSG00000237484 +21,24419327,Monocyte_CD14:ENSG00000237484 +21,33917903,Monocyte_CD14:ENSG00000237945 +21,33961912,Monocyte_CD14:ENSG00000237945 +21,46217846,Monocyte_CD14:ENSG00000239415 +21,44322642,Monocyte_CD14:ENSG00000241728 +21,33908326,Monocyte_CD14:ENSG00000241837 +21,33917413,Monocyte_CD14:ENSG00000241837 +21,44035566,Monocyte_CD14:ENSG00000241945 +21,44131077,Monocyte_CD14:ENSG00000241945 +21,33229937,Monocyte_CD14:ENSG00000243646 +21,33237291,Monocyte_CD14:ENSG00000243646 +21,33265726,Monocyte_CD14:ENSG00000243646 +21,33266554,Monocyte_CD14:ENSG00000243646 +21,33270909,Monocyte_CD14:ENSG00000243646 +21,34004579,Monocyte_CD14:ENSG00000243927 +21,39252814,Monocyte_CD14:ENSG00000255568 +21,32385638,Monocyte_CD14:ENSG00000256073 +21,44930388,Monocyte_CD14:ENSG00000272825 +21,29458073,Monocyte_CD14:ENSG00000273017 +21,33949550,Monocyte_CD14:ENSG00000273102 +21,36320209,Monocyte_CD14:ENSG00000273199 +21,29015357,Monocyte_CD14:ENSG00000273254 +21,29015357,Monocyte_CD14:ENSG00000273464 +21,44979663,Monocyte_CD14:ENSG00000276529 +21,17787983,Monocyte_CD14:ENSG00000280594 +7,92245996,Monocyte_CD16:ENSG00000001629 +7,92128797,Monocyte_CD16:ENSG00000001630 +7,1832638,Monocyte_CD16:ENSG00000002822 +7,1891641,Monocyte_CD16:ENSG00000002822 +7,1892738,Monocyte_CD16:ENSG00000002822 +7,1961533,Monocyte_CD16:ENSG00000002822 +7,1992847,Monocyte_CD16:ENSG00000002822 +7,2050567,Monocyte_CD16:ENSG00000002822 +7,150779800,Monocyte_CD16:ENSG00000002933 +7,150800708,Monocyte_CD16:ENSG00000002933 +7,150801157,Monocyte_CD16:ENSG00000002933 +7,150802179,Monocyte_CD16:ENSG00000002933 +7,127351852,Monocyte_CD16:ENSG00000004059 +7,95584390,Monocyte_CD16:ENSG00000004799 +7,95620471,Monocyte_CD16:ENSG00000004799 +7,96324337,Monocyte_CD16:ENSG00000004864 +7,26865151,Monocyte_CD16:ENSG00000005020 +7,102472809,Monocyte_CD16:ENSG00000005075 +7,76217181,Monocyte_CD16:ENSG00000005486 +7,140184829,Monocyte_CD16:ENSG00000006459 +7,77871666,Monocyte_CD16:ENSG00000006576 +7,112445345,Monocyte_CD16:ENSG00000006652 +7,112460123,Monocyte_CD16:ENSG00000006652 +7,75157855,Monocyte_CD16:ENSG00000006704 +7,106112245,Monocyte_CD16:ENSG00000008282 +7,151341801,Monocyte_CD16:ENSG00000013374 +7,81498637,Monocyte_CD16:ENSG00000019991 +7,18294595,Monocyte_CD16:ENSG00000048052 +7,18344351,Monocyte_CD16:ENSG00000048052 +7,127366942,Monocyte_CD16:ENSG00000048405 +7,26106731,Monocyte_CD16:ENSG00000050344 +7,26139746,Monocyte_CD16:ENSG00000050344 +7,90631722,Monocyte_CD16:ENSG00000058091 +7,139649083,Monocyte_CD16:ENSG00000059377 +7,139888377,Monocyte_CD16:ENSG00000059377 +7,139943896,Monocyte_CD16:ENSG00000059377 +7,140024369,Monocyte_CD16:ENSG00000059377 +7,140063845,Monocyte_CD16:ENSG00000059378 +7,139649083,Monocyte_CD16:ENSG00000064393 +7,139888377,Monocyte_CD16:ENSG00000064393 +7,129072814,Monocyte_CD16:ENSG00000064419 +7,73698856,Monocyte_CD16:ENSG00000071462 +7,88206154,Monocyte_CD16:ENSG00000075142 +7,88220264,Monocyte_CD16:ENSG00000075142 +7,84172665,Monocyte_CD16:ENSG00000075213 +7,80724913,Monocyte_CD16:ENSG00000075223 +7,5527481,Monocyte_CD16:ENSG00000075624 +7,117774026,Monocyte_CD16:ENSG00000077063 +7,117816850,Monocyte_CD16:ENSG00000077063 +7,135562799,Monocyte_CD16:ENSG00000080802 +7,100374211,Monocyte_CD16:ENSG00000085514 +7,134452953,Monocyte_CD16:ENSG00000085662 +7,134459205,Monocyte_CD16:ENSG00000085662 +7,134603474,Monocyte_CD16:ENSG00000085662 +7,26344459,Monocyte_CD16:ENSG00000086300 +7,26410497,Monocyte_CD16:ENSG00000086300 +7,74226206,Monocyte_CD16:ENSG00000086730 +7,74245826,Monocyte_CD16:ENSG00000086730 +7,100891037,Monocyte_CD16:ENSG00000087077 +7,141006231,Monocyte_CD16:ENSG00000090263 +7,141010508,Monocyte_CD16:ENSG00000090263 +7,140700193,Monocyte_CD16:ENSG00000090266 +7,105520320,Monocyte_CD16:ENSG00000091127 +7,107934339,Monocyte_CD16:ENSG00000091136 +7,107903763,Monocyte_CD16:ENSG00000091140 +7,90243091,Monocyte_CD16:ENSG00000105793 +7,102471489,Monocyte_CD16:ENSG00000105808 +7,102661899,Monocyte_CD16:ENSG00000105808 +7,106314304,Monocyte_CD16:ENSG00000105835 +7,106856192,Monocyte_CD16:ENSG00000105851 +7,95434390,Monocyte_CD16:ENSG00000105854 +7,20542073,Monocyte_CD16:ENSG00000105855 +7,107173789,Monocyte_CD16:ENSG00000105856 +7,135981107,Monocyte_CD16:ENSG00000105887 +7,135986725,Monocyte_CD16:ENSG00000105887 +7,44623239,Monocyte_CD16:ENSG00000105953 +7,947927,Monocyte_CD16:ENSG00000105963 +7,116025634,Monocyte_CD16:ENSG00000105967 +7,44833301,Monocyte_CD16:ENSG00000105968 +7,26825580,Monocyte_CD16:ENSG00000105991 +7,157275001,Monocyte_CD16:ENSG00000105993 +7,2510539,Monocyte_CD16:ENSG00000106003 +7,2529136,Monocyte_CD16:ENSG00000106003 +7,141739604,Monocyte_CD16:ENSG00000106028 +7,120995877,Monocyte_CD16:ENSG00000106034 +7,27675473,Monocyte_CD16:ENSG00000106049 +7,29078169,Monocyte_CD16:ENSG00000106066 +7,29149254,Monocyte_CD16:ENSG00000106066 +7,29149381,Monocyte_CD16:ENSG00000106066 +7,29153279,Monocyte_CD16:ENSG00000106066 +7,29154865,Monocyte_CD16:ENSG00000106066 +7,29146960,Monocyte_CD16:ENSG00000106069 +7,29251551,Monocyte_CD16:ENSG00000106069 +7,73734414,Monocyte_CD16:ENSG00000106077 +7,73795282,Monocyte_CD16:ENSG00000106077 +7,29974452,Monocyte_CD16:ENSG00000106086 +7,142830216,Monocyte_CD16:ENSG00000106123 +7,143282636,Monocyte_CD16:ENSG00000106144 +7,56067765,Monocyte_CD16:ENSG00000106153 +7,56105935,Monocyte_CD16:ENSG00000106153 +7,56106447,Monocyte_CD16:ENSG00000106153 +7,76299893,Monocyte_CD16:ENSG00000106211 +7,76310102,Monocyte_CD16:ENSG00000106211 +7,2318846,Monocyte_CD16:ENSG00000106266 +7,100149507,Monocyte_CD16:ENSG00000106290 +7,123690585,Monocyte_CD16:ENSG00000106299 +7,31688566,Monocyte_CD16:ENSG00000106341 +7,32225933,Monocyte_CD16:ENSG00000106341 +7,128406016,Monocyte_CD16:ENSG00000106348 +7,32482098,Monocyte_CD16:ENSG00000106355 +7,7237584,Monocyte_CD16:ENSG00000106392 +7,7249145,Monocyte_CD16:ENSG00000106392 +7,7640254,Monocyte_CD16:ENSG00000106399 +7,101217355,Monocyte_CD16:ENSG00000106400 +7,101243569,Monocyte_CD16:ENSG00000106404 +7,11158566,Monocyte_CD16:ENSG00000106443 +7,12216042,Monocyte_CD16:ENSG00000106460 +7,17041533,Monocyte_CD16:ENSG00000106546 +7,17123258,Monocyte_CD16:ENSG00000106546 +7,17298523,Monocyte_CD16:ENSG00000106546 +7,150695655,Monocyte_CD16:ENSG00000106560 +7,150779800,Monocyte_CD16:ENSG00000106565 +7,150803488,Monocyte_CD16:ENSG00000106565 +7,150803641,Monocyte_CD16:ENSG00000106565 +7,42916409,Monocyte_CD16:ENSG00000106591 +7,43597316,Monocyte_CD16:ENSG00000106603 +7,43651347,Monocyte_CD16:ENSG00000106603 +7,43758870,Monocyte_CD16:ENSG00000106605 +7,74081829,Monocyte_CD16:ENSG00000106683 +7,158782649,Monocyte_CD16:ENSG00000117868 +7,100352827,Monocyte_CD16:ENSG00000121716 +7,33201717,Monocyte_CD16:ENSG00000122507 +7,6062403,Monocyte_CD16:ENSG00000122512 +7,35864664,Monocyte_CD16:ENSG00000122545 +7,35665346,Monocyte_CD16:ENSG00000122557 +7,26106731,Monocyte_CD16:ENSG00000122565 +7,26218458,Monocyte_CD16:ENSG00000122566 +7,22927733,Monocyte_CD16:ENSG00000122591 +7,32957911,Monocyte_CD16:ENSG00000122642 +7,33040023,Monocyte_CD16:ENSG00000122643 +7,12720271,Monocyte_CD16:ENSG00000122644 +7,5903254,Monocyte_CD16:ENSG00000122674 +7,5911686,Monocyte_CD16:ENSG00000122674 +7,6149305,Monocyte_CD16:ENSG00000122674 +7,6814089,Monocyte_CD16:ENSG00000122674 +7,6845133,Monocyte_CD16:ENSG00000122674 +7,44075482,Monocyte_CD16:ENSG00000122678 +7,138194634,Monocyte_CD16:ENSG00000122779 +7,138313933,Monocyte_CD16:ENSG00000122779 +7,66632346,Monocyte_CD16:ENSG00000126522 +7,158878425,Monocyte_CD16:ENSG00000126870 +7,150323292,Monocyte_CD16:ENSG00000127399 +7,96663147,Monocyte_CD16:ENSG00000127922 +7,75618022,Monocyte_CD16:ENSG00000127946 +7,75703343,Monocyte_CD16:ENSG00000127946 +7,77685501,Monocyte_CD16:ENSG00000127947 +7,75915151,Monocyte_CD16:ENSG00000127948 +7,77189360,Monocyte_CD16:ENSG00000127951 +7,77199958,Monocyte_CD16:ENSG00000127951 +7,77238798,Monocyte_CD16:ENSG00000127951 +7,76035613,Monocyte_CD16:ENSG00000127952 +7,76141676,Monocyte_CD16:ENSG00000127952 +7,112081973,Monocyte_CD16:ENSG00000128512 +7,128864079,Monocyte_CD16:ENSG00000128524 +7,118210746,Monocyte_CD16:ENSG00000128534 +7,127998669,Monocyte_CD16:ENSG00000128594 +7,128735549,Monocyte_CD16:ENSG00000128595 +7,128939612,Monocyte_CD16:ENSG00000128604 +7,130138678,Monocyte_CD16:ENSG00000128607 +7,56067765,Monocyte_CD16:ENSG00000129103 +7,99332750,Monocyte_CD16:ENSG00000130429 +7,133254275,Monocyte_CD16:ENSG00000131558 +7,133856872,Monocyte_CD16:ENSG00000131558 +7,50447929,Monocyte_CD16:ENSG00000132436 +7,150489995,Monocyte_CD16:ENSG00000133561 +7,150600842,Monocyte_CD16:ENSG00000133561 +7,150641108,Monocyte_CD16:ENSG00000133561 +7,150695655,Monocyte_CD16:ENSG00000133561 +7,150489995,Monocyte_CD16:ENSG00000133574 +7,150490492,Monocyte_CD16:ENSG00000133574 +7,150530139,Monocyte_CD16:ENSG00000133574 +7,150556942,Monocyte_CD16:ENSG00000133574 +7,140673089,Monocyte_CD16:ENSG00000133597 +7,150655759,Monocyte_CD16:ENSG00000133619 +7,77193353,Monocyte_CD16:ENSG00000135205 +7,77743589,Monocyte_CD16:ENSG00000135211 +7,80616828,Monocyte_CD16:ENSG00000135218 +7,80632404,Monocyte_CD16:ENSG00000135218 +7,108526378,Monocyte_CD16:ENSG00000135241 +7,116211123,Monocyte_CD16:ENSG00000135269 +7,116211628,Monocyte_CD16:ENSG00000135269 +7,116252596,Monocyte_CD16:ENSG00000135269 +7,115011640,Monocyte_CD16:ENSG00000135272 +7,29974452,Monocyte_CD16:ENSG00000136193 +7,47676297,Monocyte_CD16:ENSG00000136205 +7,2523200,Monocyte_CD16:ENSG00000136213 +7,23248690,Monocyte_CD16:ENSG00000136235 +7,6354849,Monocyte_CD16:ENSG00000136238 +7,6379909,Monocyte_CD16:ENSG00000136238 +7,6400806,Monocyte_CD16:ENSG00000136238 +7,6462736,Monocyte_CD16:ENSG00000136240 +7,6463887,Monocyte_CD16:ENSG00000136240 +7,23193040,Monocyte_CD16:ENSG00000136243 +7,6577616,Monocyte_CD16:ENSG00000136247 +7,36522089,Monocyte_CD16:ENSG00000136250 +7,36589049,Monocyte_CD16:ENSG00000136250 +7,36655612,Monocyte_CD16:ENSG00000136250 +7,36709936,Monocyte_CD16:ENSG00000136250 +7,36717614,Monocyte_CD16:ENSG00000136250 +7,45098160,Monocyte_CD16:ENSG00000136270 +7,47946394,Monocyte_CD16:ENSG00000136273 +7,45069279,Monocyte_CD16:ENSG00000136274 +7,44042716,Monocyte_CD16:ENSG00000136279 +7,44060774,Monocyte_CD16:ENSG00000136279 +7,45047066,Monocyte_CD16:ENSG00000136280 +7,45061447,Monocyte_CD16:ENSG00000136280 +7,44977603,Monocyte_CD16:ENSG00000136286 +7,2649004,Monocyte_CD16:ENSG00000136295 +7,2780093,Monocyte_CD16:ENSG00000146535 +7,2801950,Monocyte_CD16:ENSG00000146535 +7,997746,Monocyte_CD16:ENSG00000146540 +7,1052883,Monocyte_CD16:ENSG00000146540 +7,5903254,Monocyte_CD16:ENSG00000146574 +7,6845133,Monocyte_CD16:ENSG00000146574 +7,5076968,Monocyte_CD16:ENSG00000146587 +7,28684757,Monocyte_CD16:ENSG00000146592 +7,28684874,Monocyte_CD16:ENSG00000146592 +7,76585957,Monocyte_CD16:ENSG00000146707 +7,76611927,Monocyte_CD16:ENSG00000146707 +7,76646010,Monocyte_CD16:ENSG00000146707 +7,56067765,Monocyte_CD16:ENSG00000146729 +7,56053188,Monocyte_CD16:ENSG00000146731 +7,55741112,Monocyte_CD16:ENSG00000146733 +7,101374803,Monocyte_CD16:ENSG00000146828 +7,100613933,Monocyte_CD16:ENSG00000146830 +7,99900522,Monocyte_CD16:ENSG00000146833 +7,100492237,Monocyte_CD16:ENSG00000146834 +7,130205362,Monocyte_CD16:ENSG00000146842 +7,135169092,Monocyte_CD16:ENSG00000146859 +7,156959106,Monocyte_CD16:ENSG00000146909 +7,64985867,Monocyte_CD16:ENSG00000152926 +7,28237488,Monocyte_CD16:ENSG00000153814 +7,55508758,Monocyte_CD16:ENSG00000154978 +7,37247259,Monocyte_CD16:ENSG00000155849 +7,37361832,Monocyte_CD16:ENSG00000155849 +7,37414914,Monocyte_CD16:ENSG00000155849 +7,91326645,Monocyte_CD16:ENSG00000157240 +7,92437124,Monocyte_CD16:ENSG00000157259 +7,5237577,Monocyte_CD16:ENSG00000157954 +7,129137407,Monocyte_CD16:ENSG00000158457 +7,129143002,Monocyte_CD16:ENSG00000158457 +7,129150121,Monocyte_CD16:ENSG00000158457 +7,74596846,Monocyte_CD16:ENSG00000158517 +7,74725793,Monocyte_CD16:ENSG00000158517 +7,94889683,Monocyte_CD16:ENSG00000158528 +7,44551977,Monocyte_CD16:ENSG00000158604 +7,130588896,Monocyte_CD16:ENSG00000158623 +7,143384849,Monocyte_CD16:ENSG00000159840 +7,143413981,Monocyte_CD16:ENSG00000159840 +7,143414019,Monocyte_CD16:ENSG00000159840 +7,102298751,Monocyte_CD16:ENSG00000160991 +7,102430479,Monocyte_CD16:ENSG00000160991 +7,102433755,Monocyte_CD16:ENSG00000160991 +7,102307217,Monocyte_CD16:ENSG00000160999 +7,102466410,Monocyte_CD16:ENSG00000161036 +7,6436200,Monocyte_CD16:ENSG00000164535 +7,43838951,Monocyte_CD16:ENSG00000164543 +7,44219283,Monocyte_CD16:ENSG00000164543 +7,23476568,Monocyte_CD16:ENSG00000164548 +7,21898622,Monocyte_CD16:ENSG00000164649 +7,21926702,Monocyte_CD16:ENSG00000164649 +7,21934943,Monocyte_CD16:ENSG00000164649 +7,98234311,Monocyte_CD16:ENSG00000164713 +7,98272830,Monocyte_CD16:ENSG00000164713 +7,98294000,Monocyte_CD16:ENSG00000164713 +7,98308669,Monocyte_CD16:ENSG00000164713 +7,98119001,Monocyte_CD16:ENSG00000164715 +7,56106447,Monocyte_CD16:ENSG00000164776 +7,1495415,Monocyte_CD16:ENSG00000164880 +7,4745021,Monocyte_CD16:ENSG00000164916 +7,128501969,Monocyte_CD16:ENSG00000165055 +7,73827056,Monocyte_CD16:ENSG00000165171 +7,100352827,Monocyte_CD16:ENSG00000166925 +7,100492116,Monocyte_CD16:ENSG00000166925 +7,100147962,Monocyte_CD16:ENSG00000166997 +7,100093226,Monocyte_CD16:ENSG00000168090 +7,101055367,Monocyte_CD16:ENSG00000169871 +7,76403393,Monocyte_CD16:ENSG00000170027 +7,102737462,Monocyte_CD16:ENSG00000170667 +7,150451959,Monocyte_CD16:ENSG00000171115 +7,150474511,Monocyte_CD16:ENSG00000171115 +7,150489995,Monocyte_CD16:ENSG00000171115 +7,150490862,Monocyte_CD16:ENSG00000171115 +7,150564647,Monocyte_CD16:ENSG00000171115 +7,149874377,Monocyte_CD16:ENSG00000171130 +7,149876367,Monocyte_CD16:ENSG00000171130 +7,25263017,Monocyte_CD16:ENSG00000172115 +7,35038394,Monocyte_CD16:ENSG00000173852 +7,100870776,Monocyte_CD16:ENSG00000176125 +7,73698856,Monocyte_CD16:ENSG00000176410 +7,93144478,Monocyte_CD16:ENSG00000177409 +7,108587868,Monocyte_CD16:ENSG00000177683 +7,109624,Monocyte_CD16:ENSG00000177706 +7,115756,Monocyte_CD16:ENSG00000177706 +7,193979,Monocyte_CD16:ENSG00000177706 +7,1157996,Monocyte_CD16:ENSG00000178381 +7,55889103,Monocyte_CD16:ENSG00000178665 +7,150489995,Monocyte_CD16:ENSG00000179144 +7,150490862,Monocyte_CD16:ENSG00000179144 +7,150515931,Monocyte_CD16:ENSG00000179144 +7,150520914,Monocyte_CD16:ENSG00000179144 +7,150521049,Monocyte_CD16:ENSG00000179144 +7,66195549,Monocyte_CD16:ENSG00000179406 +7,149772966,Monocyte_CD16:ENSG00000181444 +7,149775765,Monocyte_CD16:ENSG00000181444 +7,87340243,Monocyte_CD16:ENSG00000182165 +7,156640639,Monocyte_CD16:ENSG00000182648 +7,48088999,Monocyte_CD16:ENSG00000183696 +7,20542073,Monocyte_CD16:ENSG00000183742 +7,111417289,Monocyte_CD16:ENSG00000184903 +7,50327041,Monocyte_CD16:ENSG00000185811 +7,143414019,Monocyte_CD16:ENSG00000185899 +7,77310814,Monocyte_CD16:ENSG00000186088 +7,77368738,Monocyte_CD16:ENSG00000186088 +7,77415447,Monocyte_CD16:ENSG00000186088 +7,155256365,Monocyte_CD16:ENSG00000186480 +7,155263311,Monocyte_CD16:ENSG00000186480 +7,155263575,Monocyte_CD16:ENSG00000186480 +7,155296460,Monocyte_CD16:ENSG00000186480 +7,155296798,Monocyte_CD16:ENSG00000186480 +7,37683810,Monocyte_CD16:ENSG00000187037 +7,77743589,Monocyte_CD16:ENSG00000187257 +7,151398045,Monocyte_CD16:ENSG00000187260 +7,143344769,Monocyte_CD16:ENSG00000188037 +7,143344844,Monocyte_CD16:ENSG00000188037 +7,143346256,Monocyte_CD16:ENSG00000188037 +7,143346284,Monocyte_CD16:ENSG00000188037 +7,39733396,Monocyte_CD16:ENSG00000188185 +7,100025596,Monocyte_CD16:ENSG00000188186 +7,100153898,Monocyte_CD16:ENSG00000188186 +7,581365,Monocyte_CD16:ENSG00000188191 +7,76403393,Monocyte_CD16:ENSG00000188372 +7,76587872,Monocyte_CD16:ENSG00000188372 +7,76611560,Monocyte_CD16:ENSG00000188372 +7,10888515,Monocyte_CD16:ENSG00000189043 +7,64665035,Monocyte_CD16:ENSG00000196247 +7,44645707,Monocyte_CD16:ENSG00000196262 +7,44777186,Monocyte_CD16:ENSG00000196262 +7,44898808,Monocyte_CD16:ENSG00000196262 +7,30600739,Monocyte_CD16:ENSG00000196295 +7,150489995,Monocyte_CD16:ENSG00000196329 +7,150521049,Monocyte_CD16:ENSG00000196329 +7,150709579,Monocyte_CD16:ENSG00000196329 +7,150745835,Monocyte_CD16:ENSG00000196329 +7,100833920,Monocyte_CD16:ENSG00000196411 +7,144835011,Monocyte_CD16:ENSG00000196511 +7,152676167,Monocyte_CD16:ENSG00000196584 +7,22803511,Monocyte_CD16:ENSG00000196683 +7,22813024,Monocyte_CD16:ENSG00000196683 +7,66387354,Monocyte_CD16:ENSG00000196715 +7,65220758,Monocyte_CD16:ENSG00000197008 +7,151029602,Monocyte_CD16:ENSG00000197150 +7,99301144,Monocyte_CD16:ENSG00000197343 +7,143229072,Monocyte_CD16:ENSG00000197448 +7,143282636,Monocyte_CD16:ENSG00000197448 +7,64903253,Monocyte_CD16:ENSG00000198039 +7,143899791,Monocyte_CD16:ENSG00000198420 +7,143902154,Monocyte_CD16:ENSG00000198420 +7,112338805,Monocyte_CD16:ENSG00000198839 +7,67063640,Monocyte_CD16:ENSG00000198874 +7,116882353,Monocyte_CD16:ENSG00000198898 +7,98234311,Monocyte_CD16:ENSG00000205356 +7,98250386,Monocyte_CD16:ENSG00000205356 +7,6632448,Monocyte_CD16:ENSG00000205903 +7,150489995,Monocyte_CD16:ENSG00000213203 +7,64985867,Monocyte_CD16:ENSG00000213462 +7,150323292,Monocyte_CD16:ENSG00000214022 +7,154928549,Monocyte_CD16:ENSG00000214106 +7,113118447,Monocyte_CD16:ENSG00000214194 +7,113142501,Monocyte_CD16:ENSG00000214194 +7,101243569,Monocyte_CD16:ENSG00000214253 +7,77667060,Monocyte_CD16:ENSG00000214293 +7,100093226,Monocyte_CD16:ENSG00000214309 +7,26393287,Monocyte_CD16:ENSG00000214870 +7,100149507,Monocyte_CD16:ENSG00000221838 +7,135933117,Monocyte_CD16:ENSG00000224746 +7,125409369,Monocyte_CD16:ENSG00000224897 +7,1992847,Monocyte_CD16:ENSG00000225968 +7,23183108,Monocyte_CD16:ENSG00000226816 +7,23202172,Monocyte_CD16:ENSG00000226816 +7,66718565,Monocyte_CD16:ENSG00000226824 +7,29974452,Monocyte_CD16:ENSG00000227014 +7,102471489,Monocyte_CD16:ENSG00000228049 +7,102698721,Monocyte_CD16:ENSG00000228049 +7,22854176,Monocyte_CD16:ENSG00000228649 +7,141739604,Monocyte_CD16:ENSG00000228775 +7,1164205,Monocyte_CD16:ENSG00000229043 +7,143414019,Monocyte_CD16:ENSG00000229153 +7,1565311,Monocyte_CD16:ENSG00000230487 +7,1574731,Monocyte_CD16:ENSG00000230487 +7,136031035,Monocyte_CD16:ENSG00000230649 +7,23193040,Monocyte_CD16:ENSG00000230658 +7,95602124,Monocyte_CD16:ENSG00000231170 +7,135981107,Monocyte_CD16:ENSG00000232053 +7,143379943,Monocyte_CD16:ENSG00000232533 +7,143384849,Monocyte_CD16:ENSG00000232533 +7,143414019,Monocyte_CD16:ENSG00000232533 +7,44977603,Monocyte_CD16:ENSG00000232956 +7,45043644,Monocyte_CD16:ENSG00000232956 +7,157853676,Monocyte_CD16:ENSG00000233038 +7,157857274,Monocyte_CD16:ENSG00000233038 +7,27102973,Monocyte_CD16:ENSG00000233429 +7,107655750,Monocyte_CD16:ENSG00000233705 +7,64265069,Monocyte_CD16:ENSG00000234444 +7,64314206,Monocyte_CD16:ENSG00000234444 +7,66518628,Monocyte_CD16:ENSG00000237310 +7,17123258,Monocyte_CD16:ENSG00000237773 +7,151877943,Monocyte_CD16:ENSG00000239911 +7,100870776,Monocyte_CD16:ENSG00000240211 +7,1041233,Monocyte_CD16:ENSG00000240230 +7,150371,Monocyte_CD16:ENSG00000240859 +7,151099,Monocyte_CD16:ENSG00000240859 +7,27299653,Monocyte_CD16:ENSG00000240990 +7,65432852,Monocyte_CD16:ENSG00000241258 +7,66512235,Monocyte_CD16:ENSG00000241258 +7,99575086,Monocyte_CD16:ENSG00000241468 +7,99330680,Monocyte_CD16:ENSG00000241685 +7,107743682,Monocyte_CD16:ENSG00000241764 +7,151808004,Monocyte_CD16:ENSG00000242048 +7,151099,Monocyte_CD16:ENSG00000242474 +7,135658168,Monocyte_CD16:ENSG00000243317 +7,135665879,Monocyte_CD16:ENSG00000243317 +7,135672728,Monocyte_CD16:ENSG00000243317 +7,65751755,Monocyte_CD16:ENSG00000243335 +7,151398045,Monocyte_CD16:ENSG00000243836 +7,26780155,Monocyte_CD16:ENSG00000253552 +7,102274376,Monocyte_CD16:ENSG00000257923 +7,102311346,Monocyte_CD16:ENSG00000257923 +7,44949751,Monocyte_CD16:ENSG00000260997 +7,152464794,Monocyte_CD16:ENSG00000261455 +7,152464979,Monocyte_CD16:ENSG00000261455 +7,102395215,Monocyte_CD16:ENSG00000267368 +7,102477761,Monocyte_CD16:ENSG00000267368 +7,102540026,Monocyte_CD16:ENSG00000267368 +7,102661899,Monocyte_CD16:ENSG00000267368 +7,35634189,Monocyte_CD16:ENSG00000271122 +7,20484305,Monocyte_CD16:ENSG00000271133 +7,20542073,Monocyte_CD16:ENSG00000271133 +7,128688792,Monocyte_CD16:ENSG00000271553 +7,75434708,Monocyte_CD16:ENSG00000272391 +7,29149254,Monocyte_CD16:ENSG00000272568 +7,30915702,Monocyte_CD16:ENSG00000272638 +7,123690585,Monocyte_CD16:ENSG00000272686 +7,66497940,Monocyte_CD16:ENSG00000272831 +7,157857274,Monocyte_CD16:ENSG00000272839 +7,157879071,Monocyte_CD16:ENSG00000272839 +7,32701710,Monocyte_CD16:ENSG00000273014 +7,155296798,Monocyte_CD16:ENSG00000273117 +7,66967037,Monocyte_CD16:ENSG00000273142 +7,128406016,Monocyte_CD16:ENSG00000273270 +7,128622110,Monocyte_CD16:ENSG00000273270 +7,129560175,Monocyte_CD16:ENSG00000273329 +7,67318791,Monocyte_CD16:ENSG00000273448 +7,75041624,Monocyte_CD16:ENSG00000274523 +7,72743711,Monocyte_CD16:ENSG00000277149 +7,102661899,Monocyte_CD16:ENSG00000279168 +7,38361383,Monocyte_CD16:ENSG00000281103 +7,32701710,Monocyte_CD16:ENSG00000281332 +7,97965822,Monocyte_CD16:ENSG00000284707 +7,102469257,Monocyte_CD16:ENSG00000285437 +7,102471489,Monocyte_CD16:ENSG00000285437 +7,102472809,Monocyte_CD16:ENSG00000285437 +7,102472820,Monocyte_CD16:ENSG00000285437 +7,102693336,Monocyte_CD16:ENSG00000285437 +7,102697384,Monocyte_CD16:ENSG00000285437 +7,102712875,Monocyte_CD16:ENSG00000285437 +7,102763061,Monocyte_CD16:ENSG00000285437 +7,44549937,Monocyte_CD16:ENSG00000287574 +7,39717630,Monocyte_CD16:ENSG00000287584 +7,4745021,Monocyte_CD16:ENSG00000287665 +7,135048753,Monocyte_CD16:ENSG00000287733 +1,169666615,Monocyte_CD16:ENSG00000000460 +1,27631828,Monocyte_CD16:ENSG00000000938 +1,112516579,Monocyte_CD16:ENSG00000007341 +1,23540109,Monocyte_CD16:ENSG00000007968 +1,1845552,Monocyte_CD16:ENSG00000008128 +1,1851793,Monocyte_CD16:ENSG00000008128 +1,1868729,Monocyte_CD16:ENSG00000008128 +1,1875912,Monocyte_CD16:ENSG00000008128 +1,1849781,Monocyte_CD16:ENSG00000008130 +1,1860776,Monocyte_CD16:ENSG00000008130 +1,209769426,Monocyte_CD16:ENSG00000009790 +1,40956187,Monocyte_CD16:ENSG00000010803 +1,23728345,Monocyte_CD16:ENSG00000011007 +1,23894116,Monocyte_CD16:ENSG00000011009 +1,11814097,Monocyte_CD16:ENSG00000011021 +1,149919374,Monocyte_CD16:ENSG00000014914 +1,25008731,Monocyte_CD16:ENSG00000020633 +1,193104497,Monocyte_CD16:ENSG00000023572 +1,160733079,Monocyte_CD16:ENSG00000026751 +1,12180767,Monocyte_CD16:ENSG00000028137 +1,12207914,Monocyte_CD16:ENSG00000028137 +1,244303002,Monocyte_CD16:ENSG00000035687 +1,244324733,Monocyte_CD16:ENSG00000035687 +1,77926760,Monocyte_CD16:ENSG00000036549 +1,39785326,Monocyte_CD16:ENSG00000043514 +1,40315503,Monocyte_CD16:ENSG00000049089 +1,9235735,Monocyte_CD16:ENSG00000049239 +1,9273498,Monocyte_CD16:ENSG00000049239 +1,7766287,Monocyte_CD16:ENSG00000049245 +1,7768218,Monocyte_CD16:ENSG00000049246 +1,7930231,Monocyte_CD16:ENSG00000049247 +1,19311596,Monocyte_CD16:ENSG00000053371 +1,19311815,Monocyte_CD16:ENSG00000053371 +1,36136601,Monocyte_CD16:ENSG00000054116 +1,235340217,Monocyte_CD16:ENSG00000054267 +1,241640299,Monocyte_CD16:ENSG00000054277 +1,243276050,Monocyte_CD16:ENSG00000054282 +1,10192595,Monocyte_CD16:ENSG00000054523 +1,10201963,Monocyte_CD16:ENSG00000054523 +1,10211630,Monocyte_CD16:ENSG00000054523 +1,179283328,Monocyte_CD16:ENSG00000057252 +1,234479150,Monocyte_CD16:ENSG00000059588 +1,31279049,Monocyte_CD16:ENSG00000060688 +1,111755537,Monocyte_CD16:ENSG00000064703 +1,109571955,Monocyte_CD16:ENSG00000065135 +1,110250191,Monocyte_CD16:ENSG00000065135 +1,42749012,Monocyte_CD16:ENSG00000065978 +1,212248402,Monocyte_CD16:ENSG00000066027 +1,212252811,Monocyte_CD16:ENSG00000066027 +1,212412773,Monocyte_CD16:ENSG00000066027 +1,42553997,Monocyte_CD16:ENSG00000066185 +1,160429768,Monocyte_CD16:ENSG00000066294 +1,160565145,Monocyte_CD16:ENSG00000066294 +1,92596973,Monocyte_CD16:ENSG00000067208 +1,92671826,Monocyte_CD16:ENSG00000067208 +1,93874288,Monocyte_CD16:ENSG00000067334 +1,218285170,Monocyte_CD16:ENSG00000067533 +1,219177506,Monocyte_CD16:ENSG00000067704 +1,205750385,Monocyte_CD16:ENSG00000069275 +1,6034390,Monocyte_CD16:ENSG00000069424 +1,22027784,Monocyte_CD16:ENSG00000070831 +1,22062379,Monocyte_CD16:ENSG00000070831 +1,161524521,Monocyte_CD16:ENSG00000072694 +1,161525945,Monocyte_CD16:ENSG00000072694 +1,161593854,Monocyte_CD16:ENSG00000072694 +1,161619367,Monocyte_CD16:ENSG00000072694 +1,161621687,Monocyte_CD16:ENSG00000072694 +1,161621723,Monocyte_CD16:ENSG00000072694 +1,161626493,Monocyte_CD16:ENSG00000072694 +1,161686087,Monocyte_CD16:ENSG00000072694 +1,186665374,Monocyte_CD16:ENSG00000073756 +1,8857153,Monocyte_CD16:ENSG00000074800 +1,8921241,Monocyte_CD16:ENSG00000074800 +1,21158740,Monocyte_CD16:ENSG00000075151 +1,170017918,Monocyte_CD16:ENSG00000075945 +1,19342741,Monocyte_CD16:ENSG00000077549 +1,236135012,Monocyte_CD16:ENSG00000077585 +1,236143510,Monocyte_CD16:ENSG00000077585 +1,1217221,Monocyte_CD16:ENSG00000078808 +1,100394357,Monocyte_CD16:ENSG00000079335 +1,63398667,Monocyte_CD16:ENSG00000079739 +1,198631030,Monocyte_CD16:ENSG00000081237 +1,198640715,Monocyte_CD16:ENSG00000081237 +1,198671359,Monocyte_CD16:ENSG00000081237 +1,198695955,Monocyte_CD16:ENSG00000081237 +1,198710838,Monocyte_CD16:ENSG00000081237 +1,54000895,Monocyte_CD16:ENSG00000081870 +1,40391858,Monocyte_CD16:ENSG00000084070 +1,108152259,Monocyte_CD16:ENSG00000085491 +1,108200420,Monocyte_CD16:ENSG00000085491 +1,192571475,Monocyte_CD16:ENSG00000090104 +1,20522548,Monocyte_CD16:ENSG00000090432 +1,39181948,Monocyte_CD16:ENSG00000090621 +1,39544524,Monocyte_CD16:ENSG00000090621 +1,36158765,Monocyte_CD16:ENSG00000092847 +1,6403939,Monocyte_CD16:ENSG00000097021 +1,91502566,Monocyte_CD16:ENSG00000097046 +1,175000012,Monocyte_CD16:ENSG00000116161 +1,52927236,Monocyte_CD16:ENSG00000116171 +1,178699163,Monocyte_CD16:ENSG00000116191 +1,3849877,Monocyte_CD16:ENSG00000116198 +1,3642737,Monocyte_CD16:ENSG00000116213 +1,6233830,Monocyte_CD16:ENSG00000116237 +1,6153942,Monocyte_CD16:ENSG00000116254 +1,180154403,Monocyte_CD16:ENSG00000116260 +1,7961718,Monocyte_CD16:ENSG00000116288 +1,7967770,Monocyte_CD16:ENSG00000116288 +1,108880944,Monocyte_CD16:ENSG00000116299 +1,184756324,Monocyte_CD16:ENSG00000116406 +1,111648663,Monocyte_CD16:ENSG00000116473 +1,111718706,Monocyte_CD16:ENSG00000116473 +1,32795048,Monocyte_CD16:ENSG00000116497 +1,35183225,Monocyte_CD16:ENSG00000116560 +1,228954613,Monocyte_CD16:ENSG00000116574 +1,228979467,Monocyte_CD16:ENSG00000116574 +1,228988731,Monocyte_CD16:ENSG00000116574 +1,155978084,Monocyte_CD16:ENSG00000116584 +1,155902133,Monocyte_CD16:ENSG00000116586 +1,62478220,Monocyte_CD16:ENSG00000116641 +1,11664035,Monocyte_CD16:ENSG00000116663 +1,65435461,Monocyte_CD16:ENSG00000116678 +1,65457302,Monocyte_CD16:ENSG00000116678 +1,11986823,Monocyte_CD16:ENSG00000116688 +1,11938881,Monocyte_CD16:ENSG00000116691 +1,183343159,Monocyte_CD16:ENSG00000116701 +1,183591057,Monocyte_CD16:ENSG00000116701 +1,183608742,Monocyte_CD16:ENSG00000116701 +1,183617831,Monocyte_CD16:ENSG00000116701 +1,192801754,Monocyte_CD16:ENSG00000116741 +1,192859403,Monocyte_CD16:ENSG00000116741 +1,114581515,Monocyte_CD16:ENSG00000116752 +1,70401305,Monocyte_CD16:ENSG00000116761 +1,15719450,Monocyte_CD16:ENSG00000116786 +1,74729478,Monocyte_CD16:ENSG00000116791 +1,15803035,Monocyte_CD16:ENSG00000116809 +1,117059712,Monocyte_CD16:ENSG00000116830 +1,117061939,Monocyte_CD16:ENSG00000116830 +1,201000848,Monocyte_CD16:ENSG00000116852 +1,201154653,Monocyte_CD16:ENSG00000116857 +1,36172107,Monocyte_CD16:ENSG00000116871 +1,231530530,Monocyte_CD16:ENSG00000116918 +1,37687461,Monocyte_CD16:ENSG00000116922 +1,236050526,Monocyte_CD16:ENSG00000116962 +1,236066977,Monocyte_CD16:ENSG00000116962 +1,236098535,Monocyte_CD16:ENSG00000116962 +1,236539316,Monocyte_CD16:ENSG00000116977 +1,39879485,Monocyte_CD16:ENSG00000116990 +1,39907754,Monocyte_CD16:ENSG00000116990 +1,39909333,Monocyte_CD16:ENSG00000116990 +1,232610930,Monocyte_CD16:ENSG00000116991 +1,232630975,Monocyte_CD16:ENSG00000116991 +1,241521531,Monocyte_CD16:ENSG00000117009 +1,241550019,Monocyte_CD16:ENSG00000117009 +1,40562876,Monocyte_CD16:ENSG00000117010 +1,243753124,Monocyte_CD16:ENSG00000117020 +1,75633810,Monocyte_CD16:ENSG00000117054 +1,75724277,Monocyte_CD16:ENSG00000117054 +1,75756863,Monocyte_CD16:ENSG00000117054 +1,160684968,Monocyte_CD16:ENSG00000117090 +1,160678691,Monocyte_CD16:ENSG00000117091 +1,160709322,Monocyte_CD16:ENSG00000117091 +1,17098582,Monocyte_CD16:ENSG00000117115 +1,17054158,Monocyte_CD16:ENSG00000117118 +1,84506394,Monocyte_CD16:ENSG00000117133 +1,202871822,Monocyte_CD16:ENSG00000117139 +1,84570850,Monocyte_CD16:ENSG00000117151 +1,84572637,Monocyte_CD16:ENSG00000117151 +1,85708153,Monocyte_CD16:ENSG00000117174 +1,205164747,Monocyte_CD16:ENSG00000117222 +1,89015879,Monocyte_CD16:ENSG00000117226 +1,89085968,Monocyte_CD16:ENSG00000117228 +1,205674624,Monocyte_CD16:ENSG00000117280 +1,205786202,Monocyte_CD16:ENSG00000117280 +1,21334269,Monocyte_CD16:ENSG00000117298 +1,23894116,Monocyte_CD16:ENSG00000117308 +1,207845698,Monocyte_CD16:ENSG00000117335 +1,42749012,Monocyte_CD16:ENSG00000117385 +1,43167145,Monocyte_CD16:ENSG00000117395 +1,43995185,Monocyte_CD16:ENSG00000117410 +1,45652721,Monocyte_CD16:ENSG00000117448 +1,45480982,Monocyte_CD16:ENSG00000117450 +1,45521902,Monocyte_CD16:ENSG00000117450 +1,46133231,Monocyte_CD16:ENSG00000117461 +1,46234461,Monocyte_CD16:ENSG00000117480 +1,46340570,Monocyte_CD16:ENSG00000117481 +1,93228615,Monocyte_CD16:ENSG00000117500 +1,93381632,Monocyte_CD16:ENSG00000117505 +1,171748352,Monocyte_CD16:ENSG00000117533 +1,173458937,Monocyte_CD16:ENSG00000117592 +1,173618876,Monocyte_CD16:ENSG00000117592 +1,209826670,Monocyte_CD16:ENSG00000117597 +1,99230871,Monocyte_CD16:ENSG00000117600 +1,99267999,Monocyte_CD16:ENSG00000117600 +1,24466856,Monocyte_CD16:ENSG00000117602 +1,25274256,Monocyte_CD16:ENSG00000117616 +1,25876233,Monocyte_CD16:ENSG00000117640 +1,26552885,Monocyte_CD16:ENSG00000117676 +1,212390518,Monocyte_CD16:ENSG00000117691 +1,212726697,Monocyte_CD16:ENSG00000117697 +1,214640144,Monocyte_CD16:ENSG00000117724 +1,27903307,Monocyte_CD16:ENSG00000117748 +1,27914572,Monocyte_CD16:ENSG00000117748 +1,52055186,Monocyte_CD16:ENSG00000117862 +1,200676927,Monocyte_CD16:ENSG00000118197 +1,200738389,Monocyte_CD16:ENSG00000118200 +1,161915411,Monocyte_CD16:ENSG00000118217 +1,70355933,Monocyte_CD16:ENSG00000118454 +1,113918966,Monocyte_CD16:ENSG00000118655 +1,36478697,Monocyte_CD16:ENSG00000119535 +1,175015010,Monocyte_CD16:ENSG00000120333 +1,52927236,Monocyte_CD16:ENSG00000121310 +1,31234682,Monocyte_CD16:ENSG00000121766 +1,108963196,Monocyte_CD16:ENSG00000121940 +1,160324778,Monocyte_CD16:ENSG00000122218 +1,160862395,Monocyte_CD16:ENSG00000122223 +1,160875695,Monocyte_CD16:ENSG00000122223 +1,92719320,Monocyte_CD16:ENSG00000122406 +1,86384616,Monocyte_CD16:ENSG00000122417 +1,84469852,Monocyte_CD16:ENSG00000122432 +1,95246133,Monocyte_CD16:ENSG00000122481 +1,93166544,Monocyte_CD16:ENSG00000122483 +1,46701176,Monocyte_CD16:ENSG00000123472 +1,211800553,Monocyte_CD16:ENSG00000123684 +1,211932264,Monocyte_CD16:ENSG00000123684 +1,211932280,Monocyte_CD16:ENSG00000123684 +1,212061814,Monocyte_CD16:ENSG00000123684 +1,212670721,Monocyte_CD16:ENSG00000123685 +1,212699620,Monocyte_CD16:ENSG00000123685 +1,212699754,Monocyte_CD16:ENSG00000123685 +1,209647260,Monocyte_CD16:ENSG00000123689 +1,209660027,Monocyte_CD16:ENSG00000123689 +1,62784360,Monocyte_CD16:ENSG00000125703 +1,44998617,Monocyte_CD16:ENSG00000126088 +1,44656735,Monocyte_CD16:ENSG00000126106 +1,28235349,Monocyte_CD16:ENSG00000126698 +1,27445840,Monocyte_CD16:ENSG00000126709 +1,1381290,Monocyte_CD16:ENSG00000127054 +1,41776153,Monocyte_CD16:ENSG00000127124 +1,19229289,Monocyte_CD16:ENSG00000127463 +1,20864019,Monocyte_CD16:ENSG00000127483 +1,39181948,Monocyte_CD16:ENSG00000127603 +1,28599026,Monocyte_CD16:ENSG00000130766 +1,27882855,Monocyte_CD16:ENSG00000130775 +1,10460530,Monocyte_CD16:ENSG00000130939 +1,40075472,Monocyte_CD16:ENSG00000131236 +1,40093806,Monocyte_CD16:ENSG00000131238 +1,40094648,Monocyte_CD16:ENSG00000131238 +1,40094786,Monocyte_CD16:ENSG00000131238 +1,155768225,Monocyte_CD16:ENSG00000132676 +1,160166301,Monocyte_CD16:ENSG00000132681 +1,157077574,Monocyte_CD16:ENSG00000132688 +1,156958700,Monocyte_CD16:ENSG00000132694 +1,46133231,Monocyte_CD16:ENSG00000132780 +1,45384647,Monocyte_CD16:ENSG00000132781 +1,15523891,Monocyte_CD16:ENSG00000132906 +1,239716598,Monocyte_CD16:ENSG00000133019 +1,22811276,Monocyte_CD16:ENSG00000133216 +1,109690343,Monocyte_CD16:ENSG00000134184 +1,108573894,Monocyte_CD16:ENSG00000134186 +1,108048966,Monocyte_CD16:ENSG00000134215 +1,113692303,Monocyte_CD16:ENSG00000134242 +1,109376083,Monocyte_CD16:ENSG00000134243 +1,110395072,Monocyte_CD16:ENSG00000134248 +1,120132858,Monocyte_CD16:ENSG00000134250 +1,111175261,Monocyte_CD16:ENSG00000134255 +1,117001488,Monocyte_CD16:ENSG00000134256 +1,117001658,Monocyte_CD16:ENSG00000134256 +1,117007694,Monocyte_CD16:ENSG00000134256 +1,117018992,Monocyte_CD16:ENSG00000134256 +1,201538654,Monocyte_CD16:ENSG00000134369 +1,201570884,Monocyte_CD16:ENSG00000134369 +1,201716013,Monocyte_CD16:ENSG00000134369 +1,193124168,Monocyte_CD16:ENSG00000134371 +1,201983278,Monocyte_CD16:ENSG00000134375 +1,37514332,Monocyte_CD16:ENSG00000134697 +1,51995053,Monocyte_CD16:ENSG00000134748 +1,231379028,Monocyte_CD16:ENSG00000135766 +1,230727180,Monocyte_CD16:ENSG00000135775 +1,232925544,Monocyte_CD16:ENSG00000135778 +1,232955697,Monocyte_CD16:ENSG00000135778 +1,182144605,Monocyte_CD16:ENSG00000135821 +1,182146595,Monocyte_CD16:ENSG00000135821 +1,182416042,Monocyte_CD16:ENSG00000135821 +1,181091425,Monocyte_CD16:ENSG00000135823 +1,182574500,Monocyte_CD16:ENSG00000135828 +1,182585628,Monocyte_CD16:ENSG00000135828 +1,182843587,Monocyte_CD16:ENSG00000135838 +1,184968462,Monocyte_CD16:ENSG00000135842 +1,219966914,Monocyte_CD16:ENSG00000136628 +1,206771471,Monocyte_CD16:ENSG00000136634 +1,89015879,Monocyte_CD16:ENSG00000137944 +1,88917399,Monocyte_CD16:ENSG00000137947 +1,8354625,Monocyte_CD16:ENSG00000142599 +1,2594221,Monocyte_CD16:ENSG00000142606 +1,15247215,Monocyte_CD16:ENSG00000142621 +1,16210794,Monocyte_CD16:ENSG00000142632 +1,15409565,Monocyte_CD16:ENSG00000142634 +1,15411869,Monocyte_CD16:ENSG00000142634 +1,15416193,Monocyte_CD16:ENSG00000142634 +1,26319315,Monocyte_CD16:ENSG00000142669 +1,26339500,Monocyte_CD16:ENSG00000142669 +1,23728345,Monocyte_CD16:ENSG00000142676 +1,26170849,Monocyte_CD16:ENSG00000142684 +1,26319315,Monocyte_CD16:ENSG00000142684 +1,36018711,Monocyte_CD16:ENSG00000142686 +1,36323755,Monocyte_CD16:ENSG00000142694 +1,36390093,Monocyte_CD16:ENSG00000142694 +1,27355276,Monocyte_CD16:ENSG00000142733 +1,27362323,Monocyte_CD16:ENSG00000142765 +1,21440603,Monocyte_CD16:ENSG00000142794 +1,63443034,Monocyte_CD16:ENSG00000142856 +1,85249051,Monocyte_CD16:ENSG00000142867 +1,77330655,Monocyte_CD16:ENSG00000142892 +1,44791529,Monocyte_CD16:ENSG00000142937 +1,87298346,Monocyte_CD16:ENSG00000143013 +1,111448032,Monocyte_CD16:ENSG00000143110 +1,111648663,Monocyte_CD16:ENSG00000143110 +1,110898232,Monocyte_CD16:ENSG00000143119 +1,168146126,Monocyte_CD16:ENSG00000143147 +1,165667062,Monocyte_CD16:ENSG00000143149 +1,165698533,Monocyte_CD16:ENSG00000143149 +1,169109918,Monocyte_CD16:ENSG00000143153 +1,169241461,Monocyte_CD16:ENSG00000143153 +1,168146126,Monocyte_CD16:ENSG00000143155 +1,166835569,Monocyte_CD16:ENSG00000143157 +1,168018961,Monocyte_CD16:ENSG00000143158 +1,167548315,Monocyte_CD16:ENSG00000143162 +1,167548480,Monocyte_CD16:ENSG00000143162 +1,167563575,Monocyte_CD16:ENSG00000143162 +1,167090207,Monocyte_CD16:ENSG00000143167 +1,165499663,Monocyte_CD16:ENSG00000143198 +1,165630817,Monocyte_CD16:ENSG00000143198 +1,165631247,Monocyte_CD16:ENSG00000143198 +1,161158700,Monocyte_CD16:ENSG00000143222 +1,161306146,Monocyte_CD16:ENSG00000143226 +1,161480928,Monocyte_CD16:ENSG00000143226 +1,161510816,Monocyte_CD16:ENSG00000143226 +1,161569578,Monocyte_CD16:ENSG00000143226 +1,161602540,Monocyte_CD16:ENSG00000143226 +1,161656008,Monocyte_CD16:ENSG00000143226 +1,161669660,Monocyte_CD16:ENSG00000143226 +1,161399790,Monocyte_CD16:ENSG00000143252 +1,157700499,Monocyte_CD16:ENSG00000143294 +1,160009170,Monocyte_CD16:ENSG00000143315 +1,179201994,Monocyte_CD16:ENSG00000143322 +1,179908558,Monocyte_CD16:ENSG00000143337 +1,183617831,Monocyte_CD16:ENSG00000143344 +1,219395693,Monocyte_CD16:ENSG00000143353 +1,219501816,Monocyte_CD16:ENSG00000143353 +1,150545420,Monocyte_CD16:ENSG00000143369 +1,150763633,Monocyte_CD16:ENSG00000143373 +1,150522876,Monocyte_CD16:ENSG00000143374 +1,151654481,Monocyte_CD16:ENSG00000143376 +1,151680666,Monocyte_CD16:ENSG00000143376 +1,150552399,Monocyte_CD16:ENSG00000143382 +1,150579684,Monocyte_CD16:ENSG00000143384 +1,150623038,Monocyte_CD16:ENSG00000143384 +1,150809484,Monocyte_CD16:ENSG00000143387 +1,151967380,Monocyte_CD16:ENSG00000143398 +1,150162644,Monocyte_CD16:ENSG00000143401 +1,150185443,Monocyte_CD16:ENSG00000143401 +1,150583195,Monocyte_CD16:ENSG00000143420 +1,151737515,Monocyte_CD16:ENSG00000143436 +1,151816442,Monocyte_CD16:ENSG00000143450 +1,150748697,Monocyte_CD16:ENSG00000143452 +1,151111996,Monocyte_CD16:ENSG00000143458 +1,222562919,Monocyte_CD16:ENSG00000143498 +1,221985983,Monocyte_CD16:ENSG00000143507 +1,223908128,Monocyte_CD16:ENSG00000143514 +1,155062047,Monocyte_CD16:ENSG00000143537 +1,153388107,Monocyte_CD16:ENSG00000143546 +1,154150681,Monocyte_CD16:ENSG00000143549 +1,153615732,Monocyte_CD16:ENSG00000143553 +1,153775047,Monocyte_CD16:ENSG00000143554 +1,154246074,Monocyte_CD16:ENSG00000143569 +1,153903196,Monocyte_CD16:ENSG00000143570 +1,154279062,Monocyte_CD16:ENSG00000143575 +1,153968254,Monocyte_CD16:ENSG00000143578 +1,154864373,Monocyte_CD16:ENSG00000143603 +1,154150681,Monocyte_CD16:ENSG00000143612 +1,153640712,Monocyte_CD16:ENSG00000143621 +1,230956434,Monocyte_CD16:ENSG00000143643 +1,246702038,Monocyte_CD16:ENSG00000143653 +1,235869953,Monocyte_CD16:ENSG00000143669 +1,233332632,Monocyte_CD16:ENSG00000143674 +1,243254761,Monocyte_CD16:ENSG00000143702 +1,224265327,Monocyte_CD16:ENSG00000143748 +1,224235339,Monocyte_CD16:ENSG00000143753 +1,224449206,Monocyte_CD16:ENSG00000143771 +1,224467087,Monocyte_CD16:ENSG00000143771 +1,226722814,Monocyte_CD16:ENSG00000143772 +1,227030188,Monocyte_CD16:ENSG00000143776 +1,226350097,Monocyte_CD16:ENSG00000143799 +1,226421043,Monocyte_CD16:ENSG00000143799 +1,225924237,Monocyte_CD16:ENSG00000143811 +1,225408046,Monocyte_CD16:ENSG00000143815 +1,203059567,Monocyte_CD16:ENSG00000143847 +1,202160068,Monocyte_CD16:ENSG00000143851 +1,202142502,Monocyte_CD16:ENSG00000143862 +1,149786425,Monocyte_CD16:ENSG00000150337 +1,192158494,Monocyte_CD16:ENSG00000150681 +1,174569832,Monocyte_CD16:ENSG00000152061 +1,174926968,Monocyte_CD16:ENSG00000152061 +1,175000012,Monocyte_CD16:ENSG00000152061 +1,162419581,Monocyte_CD16:ENSG00000152332 +1,66732868,Monocyte_CD16:ENSG00000152760 +1,235294265,Monocyte_CD16:ENSG00000152904 +1,181066126,Monocyte_CD16:ENSG00000153029 +1,244863554,Monocyte_CD16:ENSG00000153187 +1,211382724,Monocyte_CD16:ENSG00000153363 +1,211436475,Monocyte_CD16:ENSG00000153363 +1,85008510,Monocyte_CD16:ENSG00000153898 +1,229326006,Monocyte_CD16:ENSG00000154429 +1,229409789,Monocyte_CD16:ENSG00000154429 +1,89263700,Monocyte_CD16:ENSG00000154451 +1,89266934,Monocyte_CD16:ENSG00000154451 +1,92969871,Monocyte_CD16:ENSG00000154511 +1,112525933,Monocyte_CD16:ENSG00000155363 +1,112700875,Monocyte_CD16:ENSG00000155366 +1,112704941,Monocyte_CD16:ENSG00000155366 +1,112881772,Monocyte_CD16:ENSG00000155380 +1,111134154,Monocyte_CD16:ENSG00000156171 +1,111137694,Monocyte_CD16:ENSG00000156171 +1,99744599,Monocyte_CD16:ENSG00000156869 +1,53230210,Monocyte_CD16:ENSG00000157184 +1,16439071,Monocyte_CD16:ENSG00000157191 +1,16441466,Monocyte_CD16:ENSG00000157191 +1,54400612,Monocyte_CD16:ENSG00000157216 +1,54480344,Monocyte_CD16:ENSG00000157216 +1,2572795,Monocyte_CD16:ENSG00000157870 +1,2562891,Monocyte_CD16:ENSG00000157873 +1,2572795,Monocyte_CD16:ENSG00000157873 +1,25563141,Monocyte_CD16:ENSG00000157978 +1,26306694,Monocyte_CD16:ENSG00000158062 +1,26319175,Monocyte_CD16:ENSG00000158062 +1,3631572,Monocyte_CD16:ENSG00000158109 +1,28089646,Monocyte_CD16:ENSG00000158161 +1,27459874,Monocyte_CD16:ENSG00000158195 +1,6206036,Monocyte_CD16:ENSG00000158286 +1,204406541,Monocyte_CD16:ENSG00000158615 +1,159923873,Monocyte_CD16:ENSG00000158710 +1,160009170,Monocyte_CD16:ENSG00000158710 +1,205628621,Monocyte_CD16:ENSG00000158711 +1,159826628,Monocyte_CD16:ENSG00000158714 +1,159779240,Monocyte_CD16:ENSG00000158716 +1,161032600,Monocyte_CD16:ENSG00000158769 +1,160983478,Monocyte_CD16:ENSG00000158773 +1,161019112,Monocyte_CD16:ENSG00000158773 +1,161044554,Monocyte_CD16:ENSG00000158773 +1,161150501,Monocyte_CD16:ENSG00000158773 +1,161190670,Monocyte_CD16:ENSG00000158773 +1,20589042,Monocyte_CD16:ENSG00000158825 +1,20589096,Monocyte_CD16:ENSG00000158825 +1,20599558,Monocyte_CD16:ENSG00000158825 +1,20646648,Monocyte_CD16:ENSG00000158828 +1,161216513,Monocyte_CD16:ENSG00000158864 +1,161215247,Monocyte_CD16:ENSG00000158869 +1,161218486,Monocyte_CD16:ENSG00000158869 +1,161219103,Monocyte_CD16:ENSG00000158869 +1,161218486,Monocyte_CD16:ENSG00000158882 +1,161306146,Monocyte_CD16:ENSG00000158887 +1,28857742,Monocyte_CD16:ENSG00000159023 +1,201482035,Monocyte_CD16:ENSG00000159176 +1,22657824,Monocyte_CD16:ENSG00000159189 +1,43993443,Monocyte_CD16:ENSG00000159214 +1,17308916,Monocyte_CD16:ENSG00000159339 +1,151351796,Monocyte_CD16:ENSG00000159352 +1,203278773,Monocyte_CD16:ENSG00000159388 +1,43390239,Monocyte_CD16:ENSG00000159479 +1,46701176,Monocyte_CD16:ENSG00000159658 +1,46719410,Monocyte_CD16:ENSG00000159658 +1,1434243,Monocyte_CD16:ENSG00000160072 +1,1574445,Monocyte_CD16:ENSG00000160075 +1,154622124,Monocyte_CD16:ENSG00000160710 +1,155260330,Monocyte_CD16:ENSG00000160752 +1,156236273,Monocyte_CD16:ENSG00000160783 +1,156119777,Monocyte_CD16:ENSG00000160789 +1,156586457,Monocyte_CD16:ENSG00000160818 +1,49698054,Monocyte_CD16:ENSG00000162374 +1,50116996,Monocyte_CD16:ENSG00000162374 +1,52746410,Monocyte_CD16:ENSG00000162378 +1,53211891,Monocyte_CD16:ENSG00000162384 +1,53211891,Monocyte_CD16:ENSG00000162385 +1,54764790,Monocyte_CD16:ENSG00000162396 +1,55065855,Monocyte_CD16:ENSG00000162402 +1,8315782,Monocyte_CD16:ENSG00000162426 +1,64848397,Monocyte_CD16:ENSG00000162434 +1,64848397,Monocyte_CD16:ENSG00000162437 +1,9937021,Monocyte_CD16:ENSG00000162444 +1,11719442,Monocyte_CD16:ENSG00000162490 +1,30733790,Monocyte_CD16:ENSG00000162511 +1,30757036,Monocyte_CD16:ENSG00000162511 +1,30869524,Monocyte_CD16:ENSG00000162512 +1,32653680,Monocyte_CD16:ENSG00000162522 +1,32671993,Monocyte_CD16:ENSG00000162522 +1,20162208,Monocyte_CD16:ENSG00000162543 +1,2168443,Monocyte_CD16:ENSG00000162585 +1,2179409,Monocyte_CD16:ENSG00000162585 +1,2182337,Monocyte_CD16:ENSG00000162585 +1,61641302,Monocyte_CD16:ENSG00000162599 +1,58539566,Monocyte_CD16:ENSG00000162600 +1,58639844,Monocyte_CD16:ENSG00000162601 +1,61641302,Monocyte_CD16:ENSG00000162604 +1,61723706,Monocyte_CD16:ENSG00000162604 +1,77984760,Monocyte_CD16:ENSG00000162613 +1,77926760,Monocyte_CD16:ENSG00000162614 +1,77507311,Monocyte_CD16:ENSG00000162616 +1,74202923,Monocyte_CD16:ENSG00000162620 +1,74729969,Monocyte_CD16:ENSG00000162623 +1,98661559,Monocyte_CD16:ENSG00000162627 +1,89161946,Monocyte_CD16:ENSG00000162645 +1,89078118,Monocyte_CD16:ENSG00000162654 +1,89195941,Monocyte_CD16:ENSG00000162654 +1,183643262,Monocyte_CD16:ENSG00000162704 +1,247424067,Monocyte_CD16:ENSG00000162711 +1,247281652,Monocyte_CD16:ENSG00000162714 +1,247849673,Monocyte_CD16:ENSG00000162722 +1,160166301,Monocyte_CD16:ENSG00000162729 +1,160166301,Monocyte_CD16:ENSG00000162734 +1,160324778,Monocyte_CD16:ENSG00000162736 +1,161999386,Monocyte_CD16:ENSG00000162745 +1,161721827,Monocyte_CD16:ENSG00000162746 +1,161733367,Monocyte_CD16:ENSG00000162746 +1,161538038,Monocyte_CD16:ENSG00000162747 +1,161594580,Monocyte_CD16:ENSG00000162747 +1,161621723,Monocyte_CD16:ENSG00000162747 +1,161629988,Monocyte_CD16:ENSG00000162747 +1,161645317,Monocyte_CD16:ENSG00000162747 +1,161689557,Monocyte_CD16:ENSG00000162747 +1,212871539,Monocyte_CD16:ENSG00000162769 +1,212636258,Monocyte_CD16:ENSG00000162772 +1,181091425,Monocyte_CD16:ENSG00000162783 +1,145707907,Monocyte_CD16:ENSG00000162825 +1,235503870,Monocyte_CD16:ENSG00000162885 +1,223676647,Monocyte_CD16:ENSG00000162909 +1,223715916,Monocyte_CD16:ENSG00000162909 +1,224366802,Monocyte_CD16:ENSG00000162923 +1,224375457,Monocyte_CD16:ENSG00000162923 +1,224467087,Monocyte_CD16:ENSG00000162923 +1,231632743,Monocyte_CD16:ENSG00000162946 +1,226033154,Monocyte_CD16:ENSG00000163041 +1,226042758,Monocyte_CD16:ENSG00000163041 +1,226070209,Monocyte_CD16:ENSG00000163041 +1,150339266,Monocyte_CD16:ENSG00000163125 +1,150667482,Monocyte_CD16:ENSG00000163131 +1,150748245,Monocyte_CD16:ENSG00000163131 +1,150764738,Monocyte_CD16:ENSG00000163131 +1,151156685,Monocyte_CD16:ENSG00000163154 +1,151163342,Monocyte_CD16:ENSG00000163156 +1,152037611,Monocyte_CD16:ENSG00000163191 +1,153388107,Monocyte_CD16:ENSG00000163220 +1,153388107,Monocyte_CD16:ENSG00000163221 +1,154897076,Monocyte_CD16:ENSG00000163344 +1,154917529,Monocyte_CD16:ENSG00000163346 +1,155688479,Monocyte_CD16:ENSG00000163374 +1,156595021,Monocyte_CD16:ENSG00000163382 +1,116016439,Monocyte_CD16:ENSG00000163393 +1,116166942,Monocyte_CD16:ENSG00000163399 +1,201983278,Monocyte_CD16:ENSG00000163435 +1,156264757,Monocyte_CD16:ENSG00000163468 +1,156315005,Monocyte_CD16:ENSG00000163468 +1,203125034,Monocyte_CD16:ENSG00000163485 +1,157970968,Monocyte_CD16:ENSG00000163534 +1,158801542,Monocyte_CD16:ENSG00000163563 +1,158818706,Monocyte_CD16:ENSG00000163563 +1,158846479,Monocyte_CD16:ENSG00000163563 +1,159010084,Monocyte_CD16:ENSG00000163565 +1,159035859,Monocyte_CD16:ENSG00000163565 +1,159082591,Monocyte_CD16:ENSG00000163568 +1,34848325,Monocyte_CD16:ENSG00000163866 +1,37492738,Monocyte_CD16:ENSG00000163875 +1,40480267,Monocyte_CD16:ENSG00000164002 +1,42495070,Monocyte_CD16:ENSG00000164008 +1,42845494,Monocyte_CD16:ENSG00000164010 +1,229326006,Monocyte_CD16:ENSG00000168118 +1,228486739,Monocyte_CD16:ENSG00000168159 +1,234508003,Monocyte_CD16:ENSG00000168264 +1,234373375,Monocyte_CD16:ENSG00000168275 +1,31370857,Monocyte_CD16:ENSG00000168528 +1,39026790,Monocyte_CD16:ENSG00000168653 +1,39038206,Monocyte_CD16:ENSG00000168653 +1,110368108,Monocyte_CD16:ENSG00000168679 +1,109984749,Monocyte_CD16:ENSG00000168710 +1,109656087,Monocyte_CD16:ENSG00000168765 +1,109657731,Monocyte_CD16:ENSG00000168765 +1,155111358,Monocyte_CD16:ENSG00000169241 +1,28165769,Monocyte_CD16:ENSG00000169403 +1,28176766,Monocyte_CD16:ENSG00000169403 +1,26202630,Monocyte_CD16:ENSG00000169442 +1,26319315,Monocyte_CD16:ENSG00000169442 +1,26324059,Monocyte_CD16:ENSG00000169442 +1,24706114,Monocyte_CD16:ENSG00000169504 +1,23188221,Monocyte_CD16:ENSG00000169641 +1,18950832,Monocyte_CD16:ENSG00000169991 +1,46198577,Monocyte_CD16:ENSG00000171357 +1,89757745,Monocyte_CD16:ENSG00000171488 +1,89816783,Monocyte_CD16:ENSG00000171492 +1,86110414,Monocyte_CD16:ENSG00000171502 +1,9654119,Monocyte_CD16:ENSG00000171608 +1,9607969,Monocyte_CD16:ENSG00000171612 +1,15143116,Monocyte_CD16:ENSG00000171729 +1,15231891,Monocyte_CD16:ENSG00000171729 +1,15245030,Monocyte_CD16:ENSG00000171729 +1,6743687,Monocyte_CD16:ENSG00000171735 +1,40956187,Monocyte_CD16:ENSG00000171793 +1,169853231,Monocyte_CD16:ENSG00000171806 +1,121441314,Monocyte_CD16:ENSG00000171943 +1,72282874,Monocyte_CD16:ENSG00000172260 +1,161517491,Monocyte_CD16:ENSG00000173110 +1,161520998,Monocyte_CD16:ENSG00000173110 +1,115595101,Monocyte_CD16:ENSG00000173218 +1,22620063,Monocyte_CD16:ENSG00000173369 +1,22631825,Monocyte_CD16:ENSG00000173369 +1,22648301,Monocyte_CD16:ENSG00000173369 +1,22537500,Monocyte_CD16:ENSG00000173372 +1,22635213,Monocyte_CD16:ENSG00000173372 +1,22636557,Monocyte_CD16:ENSG00000173372 +1,22648301,Monocyte_CD16:ENSG00000173372 +1,230991548,Monocyte_CD16:ENSG00000173409 +1,19597831,Monocyte_CD16:ENSG00000173436 +1,9943652,Monocyte_CD16:ENSG00000173614 +1,46309111,Monocyte_CD16:ENSG00000173660 +1,235354242,Monocyte_CD16:ENSG00000173726 +1,44763809,Monocyte_CD16:ENSG00000173846 +1,84506394,Monocyte_CD16:ENSG00000174021 +1,84574210,Monocyte_CD16:ENSG00000174021 +1,38991334,Monocyte_CD16:ENSG00000174574 +1,213019077,Monocyte_CD16:ENSG00000174606 +1,15143116,Monocyte_CD16:ENSG00000175147 +1,114558550,Monocyte_CD16:ENSG00000175984 +1,201983278,Monocyte_CD16:ENSG00000176393 +1,201985390,Monocyte_CD16:ENSG00000176393 +1,11786195,Monocyte_CD16:ENSG00000177000 +1,11790946,Monocyte_CD16:ENSG00000177000 +1,148553092,Monocyte_CD16:ENSG00000177144 +1,59674663,Monocyte_CD16:ENSG00000177606 +1,230568937,Monocyte_CD16:ENSG00000177614 +1,230578726,Monocyte_CD16:ENSG00000177614 +1,11719442,Monocyte_CD16:ENSG00000177674 +1,160073849,Monocyte_CD16:ENSG00000177807 +1,42808082,Monocyte_CD16:ENSG00000177868 +1,196750817,Monocyte_CD16:ENSG00000177888 +1,153991979,Monocyte_CD16:ENSG00000177954 +1,154097211,Monocyte_CD16:ENSG00000177954 +1,44301263,Monocyte_CD16:ENSG00000178028 +1,43368441,Monocyte_CD16:ENSG00000178922 +1,17463963,Monocyte_CD16:ENSG00000179051 +1,23843325,Monocyte_CD16:ENSG00000179163 +1,23894116,Monocyte_CD16:ENSG00000179163 +1,15848609,Monocyte_CD16:ENSG00000179743 +1,40891108,Monocyte_CD16:ENSG00000179862 +1,40920890,Monocyte_CD16:ENSG00000179862 +1,40956187,Monocyte_CD16:ENSG00000179862 +1,160862395,Monocyte_CD16:ENSG00000179914 +1,28627426,Monocyte_CD16:ENSG00000180198 +1,228486739,Monocyte_CD16:ENSG00000181218 +1,227661264,Monocyte_CD16:ENSG00000181450 +1,231056090,Monocyte_CD16:ENSG00000182118 +1,151769194,Monocyte_CD16:ENSG00000182134 +1,226145272,Monocyte_CD16:ENSG00000182827 +1,226164773,Monocyte_CD16:ENSG00000182827 +1,37996149,Monocyte_CD16:ENSG00000183386 +1,37999643,Monocyte_CD16:ENSG00000183386 +1,37829469,Monocyte_CD16:ENSG00000183431 +1,37996149,Monocyte_CD16:ENSG00000183520 +1,25274256,Monocyte_CD16:ENSG00000183726 +1,226350097,Monocyte_CD16:ENSG00000183814 +1,76048074,Monocyte_CD16:ENSG00000184005 +1,31965384,Monocyte_CD16:ENSG00000184007 +1,22443582,Monocyte_CD16:ENSG00000184677 +1,150408571,Monocyte_CD16:ENSG00000184678 +1,179095951,Monocyte_CD16:ENSG00000186283 +1,145920236,Monocyte_CD16:ENSG00000186364 +1,42539918,Monocyte_CD16:ENSG00000186409 +1,27290549,Monocyte_CD16:ENSG00000186501 +1,161044554,Monocyte_CD16:ENSG00000186517 +1,223184838,Monocyte_CD16:ENSG00000187554 +1,1011654,Monocyte_CD16:ENSG00000187608 +1,1015297,Monocyte_CD16:ENSG00000187608 +1,1170732,Monocyte_CD16:ENSG00000187608 +1,153557754,Monocyte_CD16:ENSG00000188015 +1,995371,Monocyte_CD16:ENSG00000188290 +1,1000079,Monocyte_CD16:ENSG00000188290 +1,169601781,Monocyte_CD16:ENSG00000188404 +1,169696410,Monocyte_CD16:ENSG00000188404 +1,169707082,Monocyte_CD16:ENSG00000188404 +1,97382177,Monocyte_CD16:ENSG00000188641 +1,97583969,Monocyte_CD16:ENSG00000188641 +1,37834083,Monocyte_CD16:ENSG00000188786 +1,956565,Monocyte_CD16:ENSG00000188976 +1,153640712,Monocyte_CD16:ENSG00000189171 +1,23894116,Monocyte_CD16:ENSG00000189266 +1,23960407,Monocyte_CD16:ENSG00000189266 +1,1618290,Monocyte_CD16:ENSG00000189339 +1,1689465,Monocyte_CD16:ENSG00000189339 +1,1692536,Monocyte_CD16:ENSG00000189409 +1,153547457,Monocyte_CD16:ENSG00000196154 +1,225881845,Monocyte_CD16:ENSG00000196187 +1,156119777,Monocyte_CD16:ENSG00000196189 +1,156150590,Monocyte_CD16:ENSG00000196189 +1,156151395,Monocyte_CD16:ENSG00000196189 +1,156177519,Monocyte_CD16:ENSG00000196189 +1,207315671,Monocyte_CD16:ENSG00000196352 +1,207316611,Monocyte_CD16:ENSG00000196352 +1,146001137,Monocyte_CD16:ENSG00000196369 +1,247156464,Monocyte_CD16:ENSG00000196418 +1,118120948,Monocyte_CD16:ENSG00000196505 +1,228486739,Monocyte_CD16:ENSG00000196890 +1,89557237,Monocyte_CD16:ENSG00000197147 +1,15649492,Monocyte_CD16:ENSG00000197312 +1,114526578,Monocyte_CD16:ENSG00000197323 +1,70355933,Monocyte_CD16:ENSG00000197568 +1,151138967,Monocyte_CD16:ENSG00000197622 +1,151968898,Monocyte_CD16:ENSG00000197747 +1,152002237,Monocyte_CD16:ENSG00000197747 +1,109065367,Monocyte_CD16:ENSG00000197780 +1,111731792,Monocyte_CD16:ENSG00000197852 +1,153536399,Monocyte_CD16:ENSG00000197956 +1,153615732,Monocyte_CD16:ENSG00000197956 +1,167721836,Monocyte_CD16:ENSG00000197965 +1,167748790,Monocyte_CD16:ENSG00000197965 +1,167770414,Monocyte_CD16:ENSG00000197965 +1,37834083,Monocyte_CD16:ENSG00000197982 +1,28624746,Monocyte_CD16:ENSG00000197989 +1,121404348,Monocyte_CD16:ENSG00000198019 +1,117489535,Monocyte_CD16:ENSG00000198162 +1,212857120,Monocyte_CD16:ENSG00000198468 +1,145876557,Monocyte_CD16:ENSG00000198483 +1,162419581,Monocyte_CD16:ENSG00000198574 +1,204561374,Monocyte_CD16:ENSG00000198625 +1,156276644,Monocyte_CD16:ENSG00000198715 +1,167563575,Monocyte_CD16:ENSG00000198771 +1,167630195,Monocyte_CD16:ENSG00000198771 +1,167701192,Monocyte_CD16:ENSG00000198771 +1,113125454,Monocyte_CD16:ENSG00000198799 +1,26478487,Monocyte_CD16:ENSG00000198830 +1,107050110,Monocyte_CD16:ENSG00000198890 +1,201864006,Monocyte_CD16:ENSG00000198892 +1,201888344,Monocyte_CD16:ENSG00000198892 +1,201983278,Monocyte_CD16:ENSG00000198892 +1,3849877,Monocyte_CD16:ENSG00000198912 +1,3891607,Monocyte_CD16:ENSG00000198912 +1,156276644,Monocyte_CD16:ENSG00000198952 +1,244970321,Monocyte_CD16:ENSG00000203666 +1,244841668,Monocyte_CD16:ENSG00000203667 +1,241641728,Monocyte_CD16:ENSG00000203668 +1,212726697,Monocyte_CD16:ENSG00000203705 +1,212791920,Monocyte_CD16:ENSG00000203705 +1,207316611,Monocyte_CD16:ENSG00000203710 +1,207496437,Monocyte_CD16:ENSG00000203710 +1,207646280,Monocyte_CD16:ENSG00000203710 +1,197902871,Monocyte_CD16:ENSG00000203724 +1,173589095,Monocyte_CD16:ENSG00000203739 +1,161511777,Monocyte_CD16:ENSG00000203747 +1,161920028,Monocyte_CD16:ENSG00000203747 +1,150565761,Monocyte_CD16:ENSG00000203804 +1,37895724,Monocyte_CD16:ENSG00000204084 +1,28352642,Monocyte_CD16:ENSG00000204138 +1,26816585,Monocyte_CD16:ENSG00000204160 +1,26817084,Monocyte_CD16:ENSG00000204160 +1,232805359,Monocyte_CD16:ENSG00000212916 +1,178590226,Monocyte_CD16:ENSG00000213057 +1,168241998,Monocyte_CD16:ENSG00000213064 +1,109668039,Monocyte_CD16:ENSG00000213366 +1,109690343,Monocyte_CD16:ENSG00000213366 +1,89186326,Monocyte_CD16:ENSG00000213512 +1,89015879,Monocyte_CD16:ENSG00000213516 +1,65420500,Monocyte_CD16:ENSG00000213625 +1,65430762,Monocyte_CD16:ENSG00000213625 +1,1574445,Monocyte_CD16:ENSG00000215014 +1,109095250,Monocyte_CD16:ENSG00000215717 +1,6466123,Monocyte_CD16:ENSG00000215788 +1,1618290,Monocyte_CD16:ENSG00000215790 +1,1692536,Monocyte_CD16:ENSG00000215790 +1,1742587,Monocyte_CD16:ENSG00000215790 +1,1851793,Monocyte_CD16:ENSG00000215790 +1,161038672,Monocyte_CD16:ENSG00000215845 +1,161038950,Monocyte_CD16:ENSG00000215845 +1,22026998,Monocyte_CD16:ENSG00000218510 +1,22027493,Monocyte_CD16:ENSG00000218510 +1,16517095,Monocyte_CD16:ENSG00000219481 +1,16861896,Monocyte_CD16:ENSG00000219481 +1,85276073,Monocyte_CD16:ENSG00000223653 +1,93250710,Monocyte_CD16:ENSG00000223745 +1,93322213,Monocyte_CD16:ENSG00000223745 +1,100273973,Monocyte_CD16:ENSG00000224616 +1,110395072,Monocyte_CD16:ENSG00000224699 +1,1400626,Monocyte_CD16:ENSG00000224870 +1,6206036,Monocyte_CD16:ENSG00000225077 +1,818725,Monocyte_CD16:ENSG00000225880 +1,16452401,Monocyte_CD16:ENSG00000226029 +1,16476395,Monocyte_CD16:ENSG00000226029 +1,121404348,Monocyte_CD16:ENSG00000226067 +1,212343512,Monocyte_CD16:ENSG00000226251 +1,112881772,Monocyte_CD16:ENSG00000226419 +1,108047124,Monocyte_CD16:ENSG00000226822 +1,108048966,Monocyte_CD16:ENSG00000226822 +1,2574790,Monocyte_CD16:ENSG00000228037 +1,39949511,Monocyte_CD16:ENSG00000228060 +1,222837044,Monocyte_CD16:ENSG00000228106 +1,15406898,Monocyte_CD16:ENSG00000228140 +1,221985983,Monocyte_CD16:ENSG00000228437 +1,1597128,Monocyte_CD16:ENSG00000228594 +1,32390535,Monocyte_CD16:ENSG00000228634 +1,175105350,Monocyte_CD16:ENSG00000228686 +1,109637608,Monocyte_CD16:ENSG00000228703 +1,186421830,Monocyte_CD16:ENSG00000229739 +1,199031064,Monocyte_CD16:ENSG00000229989 +1,53369627,Monocyte_CD16:ENSG00000230138 +1,119156959,Monocyte_CD16:ENSG00000231365 +1,234372789,Monocyte_CD16:ENSG00000231663 +1,234373375,Monocyte_CD16:ENSG00000231663 +1,89757745,Monocyte_CD16:ENSG00000231999 +1,151339563,Monocyte_CD16:ENSG00000232671 +1,183465654,Monocyte_CD16:ENSG00000232860 +1,163318865,Monocyte_CD16:ENSG00000232995 +1,84120497,Monocyte_CD16:ENSG00000233008 +1,239716598,Monocyte_CD16:ENSG00000233355 +1,203304835,Monocyte_CD16:ENSG00000233791 +1,201000848,Monocyte_CD16:ENSG00000234132 +1,201983278,Monocyte_CD16:ENSG00000234678 +1,201985390,Monocyte_CD16:ENSG00000234678 +1,173786061,Monocyte_CD16:ENSG00000234741 +1,173862100,Monocyte_CD16:ENSG00000234741 +1,3775676,Monocyte_CD16:ENSG00000235169 +1,41187190,Monocyte_CD16:ENSG00000235358 +1,175157585,Monocyte_CD16:ENSG00000235750 +1,165598243,Monocyte_CD16:ENSG00000236206 +1,222168746,Monocyte_CD16:ENSG00000236230 +1,26170849,Monocyte_CD16:ENSG00000236782 +1,181175427,Monocyte_CD16:ENSG00000237292 +1,818725,Monocyte_CD16:ENSG00000237491 +1,150558884,Monocyte_CD16:ENSG00000237781 +1,65420500,Monocyte_CD16:ENSG00000237852 +1,212654993,Monocyte_CD16:ENSG00000237980 +1,115797303,Monocyte_CD16:ENSG00000237993 +1,221985983,Monocyte_CD16:ENSG00000238042 +1,16476395,Monocyte_CD16:ENSG00000238142 +1,16483581,Monocyte_CD16:ENSG00000238142 +1,16913439,Monocyte_CD16:ENSG00000238142 +1,16921694,Monocyte_CD16:ENSG00000238142 +1,16927333,Monocyte_CD16:ENSG00000238142 +1,2572795,Monocyte_CD16:ENSG00000238164 +1,40493834,Monocyte_CD16:ENSG00000238287 +1,35633487,Monocyte_CD16:ENSG00000239636 +1,62191478,Monocyte_CD16:ENSG00000240563 +1,62195722,Monocyte_CD16:ENSG00000240563 +1,62196310,Monocyte_CD16:ENSG00000240563 +1,62210388,Monocyte_CD16:ENSG00000240563 +1,62211647,Monocyte_CD16:ENSG00000240563 +1,62218883,Monocyte_CD16:ENSG00000240563 +1,62296235,Monocyte_CD16:ENSG00000240563 +1,28510500,Monocyte_CD16:ENSG00000242125 +1,156315005,Monocyte_CD16:ENSG00000242252 +1,1407014,Monocyte_CD16:ENSG00000242485 +1,43234142,Monocyte_CD16:ENSG00000243710 +1,34984759,Monocyte_CD16:ENSG00000243749 +1,20599558,Monocyte_CD16:ENSG00000244038 +1,1609890,Monocyte_CD16:ENSG00000248333 +1,26976543,Monocyte_CD16:ENSG00000253368 +1,74202923,Monocyte_CD16:ENSG00000254685 +1,247187957,Monocyte_CD16:ENSG00000259865 +1,212561309,Monocyte_CD16:ENSG00000260805 +1,118736320,Monocyte_CD16:ENSG00000260941 +1,16498380,Monocyte_CD16:ENSG00000261135 +1,206475024,Monocyte_CD16:ENSG00000263528 +1,145824253,Monocyte_CD16:ENSG00000265241 +1,206572521,Monocyte_CD16:ENSG00000266094 +1,150293918,Monocyte_CD16:ENSG00000266472 +1,150297108,Monocyte_CD16:ENSG00000266472 +1,150339266,Monocyte_CD16:ENSG00000266472 +1,147010894,Monocyte_CD16:ENSG00000268043 +1,147026015,Monocyte_CD16:ENSG00000268043 +1,28235349,Monocyte_CD16:ENSG00000270605 +1,148335810,Monocyte_CD16:ENSG00000270629 +1,150022912,Monocyte_CD16:ENSG00000270882 +1,149843969,Monocyte_CD16:ENSG00000271383 +1,149845000,Monocyte_CD16:ENSG00000271383 +1,149974309,Monocyte_CD16:ENSG00000271383 +1,149978365,Monocyte_CD16:ENSG00000271383 +1,145699064,Monocyte_CD16:ENSG00000271425 +1,145764897,Monocyte_CD16:ENSG00000271425 +1,6401661,Monocyte_CD16:ENSG00000271746 +1,153640712,Monocyte_CD16:ENSG00000272030 +1,244970321,Monocyte_CD16:ENSG00000272195 +1,16476395,Monocyte_CD16:ENSG00000272426 +1,16927333,Monocyte_CD16:ENSG00000272426 +1,2574790,Monocyte_CD16:ENSG00000272449 +1,48445659,Monocyte_CD16:ENSG00000272491 +1,985691,Monocyte_CD16:ENSG00000272512 +1,988731,Monocyte_CD16:ENSG00000272512 +1,989148,Monocyte_CD16:ENSG00000272512 +1,121404348,Monocyte_CD16:ENSG00000273136 +1,121421015,Monocyte_CD16:ENSG00000273136 +1,121427447,Monocyte_CD16:ENSG00000273136 +1,77926760,Monocyte_CD16:ENSG00000273338 +1,78004786,Monocyte_CD16:ENSG00000273338 +1,109088761,Monocyte_CD16:ENSG00000273382 +1,145954492,Monocyte_CD16:ENSG00000276216 +1,145972158,Monocyte_CD16:ENSG00000276216 +1,146049423,Monocyte_CD16:ENSG00000276216 +1,145699064,Monocyte_CD16:ENSG00000276509 +1,145699700,Monocyte_CD16:ENSG00000276509 +1,45480982,Monocyte_CD16:ENSG00000280670 +1,153483875,Monocyte_CD16:ENSG00000284738 +1,153903196,Monocyte_CD16:ENSG00000284738 +1,111755537,Monocyte_CD16:ENSG00000284830 +1,84572637,Monocyte_CD16:ENSG00000284882 +1,84595483,Monocyte_CD16:ENSG00000284882 +1,150541670,Monocyte_CD16:ENSG00000285184 +1,11910946,Monocyte_CD16:ENSG00000285646 +1,231632743,Monocyte_CD16:ENSG00000286071 +1,121404348,Monocyte_CD16:ENSG00000286106 +1,149974309,Monocyte_CD16:ENSG00000286219 +1,149978365,Monocyte_CD16:ENSG00000286219 +1,205813455,Monocyte_CD16:ENSG00000286619 +1,168216125,Monocyte_CD16:ENSG00000287218 +1,41187190,Monocyte_CD16:ENSG00000287400 +1,120132858,Monocyte_CD16:ENSG00000287979 +1,120178028,Monocyte_CD16:ENSG00000287979 +1,120304681,Monocyte_CD16:ENSG00000287979 +1,120304851,Monocyte_CD16:ENSG00000287979 +1,120309137,Monocyte_CD16:ENSG00000287979 +1,120332994,Monocyte_CD16:ENSG00000287979 +1,121404348,Monocyte_CD16:ENSG00000287979 +1,121421015,Monocyte_CD16:ENSG00000287979 +1,161350743,Monocyte_CD16:ENSG00000288093 +12,8946438,Monocyte_CD16:ENSG00000003056 +12,8958240,Monocyte_CD16:ENSG00000003056 +12,21495012,Monocyte_CD16:ENSG00000004700 +12,47648088,Monocyte_CD16:ENSG00000005175 +12,16351982,Monocyte_CD16:ENSG00000008394 +12,6139585,Monocyte_CD16:ENSG00000010278 +12,6154369,Monocyte_CD16:ENSG00000010278 +12,6154542,Monocyte_CD16:ENSG00000010278 +12,6510530,Monocyte_CD16:ENSG00000010292 +12,6551831,Monocyte_CD16:ENSG00000010295 +12,6781371,Monocyte_CD16:ENSG00000010610 +12,6792749,Monocyte_CD16:ENSG00000010610 +12,6792818,Monocyte_CD16:ENSG00000010610 +12,6810255,Monocyte_CD16:ENSG00000010610 +12,6897614,Monocyte_CD16:ENSG00000010626 +12,106530360,Monocyte_CD16:ENSG00000013503 +12,31097870,Monocyte_CD16:ENSG00000013573 +12,13001189,Monocyte_CD16:ENSG00000013583 +12,42276168,Monocyte_CD16:ENSG00000015153 +12,120505638,Monocyte_CD16:ENSG00000022840 +12,95206993,Monocyte_CD16:ENSG00000028203 +12,4567740,Monocyte_CD16:ENSG00000047621 +12,50484680,Monocyte_CD16:ENSG00000050405 +12,51395688,Monocyte_CD16:ENSG00000050438 +12,123251537,Monocyte_CD16:ENSG00000051825 +12,94677689,Monocyte_CD16:ENSG00000057704 +12,7987785,Monocyte_CD16:ENSG00000059804 +12,10429051,Monocyte_CD16:ENSG00000060138 +12,10723460,Monocyte_CD16:ENSG00000060138 +12,604490,Monocyte_CD16:ENSG00000060237 +12,641706,Monocyte_CD16:ENSG00000060237 +12,24819822,Monocyte_CD16:ENSG00000060982 +12,24897601,Monocyte_CD16:ENSG00000060982 +12,24898952,Monocyte_CD16:ENSG00000060982 +12,24903137,Monocyte_CD16:ENSG00000060982 +12,47810737,Monocyte_CD16:ENSG00000061273 +12,27740566,Monocyte_CD16:ENSG00000061794 +12,29152438,Monocyte_CD16:ENSG00000064763 +12,29255515,Monocyte_CD16:ENSG00000064763 +12,50548380,Monocyte_CD16:ENSG00000066084 +12,6333219,Monocyte_CD16:ENSG00000067182 +12,9656143,Monocyte_CD16:ENSG00000069493 +12,132921758,Monocyte_CD16:ENSG00000072609 +12,124850707,Monocyte_CD16:ENSG00000073060 +12,409831,Monocyte_CD16:ENSG00000073614 +12,98593707,Monocyte_CD16:ENSG00000075415 +12,98627660,Monocyte_CD16:ENSG00000075415 +12,56522858,Monocyte_CD16:ENSG00000076067 +12,109137386,Monocyte_CD16:ENSG00000076555 +12,4321181,Monocyte_CD16:ENSG00000078237 +12,987384,Monocyte_CD16:ENSG00000082805 +12,95989185,Monocyte_CD16:ENSG00000084110 +12,96013313,Monocyte_CD16:ENSG00000084110 +12,108817531,Monocyte_CD16:ENSG00000084112 +12,123581120,Monocyte_CD16:ENSG00000086598 +12,29383581,Monocyte_CD16:ENSG00000087502 +12,120534593,Monocyte_CD16:ENSG00000088986 +12,117063345,Monocyte_CD16:ENSG00000088992 +12,117064537,Monocyte_CD16:ENSG00000088992 +12,112008906,Monocyte_CD16:ENSG00000089022 +12,121129382,Monocyte_CD16:ENSG00000089041 +12,121161590,Monocyte_CD16:ENSG00000089041 +12,121184014,Monocyte_CD16:ENSG00000089041 +12,113331957,Monocyte_CD16:ENSG00000089060 +12,112907451,Monocyte_CD16:ENSG00000089127 +12,112921513,Monocyte_CD16:ENSG00000089127 +12,120199160,Monocyte_CD16:ENSG00000089157 +12,112887655,Monocyte_CD16:ENSG00000089169 +12,112907451,Monocyte_CD16:ENSG00000089169 +12,112935783,Monocyte_CD16:ENSG00000089169 +12,112008906,Monocyte_CD16:ENSG00000089248 +12,6753126,Monocyte_CD16:ENSG00000089693 +12,8055929,Monocyte_CD16:ENSG00000089818 +12,66188160,Monocyte_CD16:ENSG00000090376 +12,66197065,Monocyte_CD16:ENSG00000090376 +12,69311914,Monocyte_CD16:ENSG00000090382 +12,69338393,Monocyte_CD16:ENSG00000090382 +12,76528270,Monocyte_CD16:ENSG00000091039 +12,76551279,Monocyte_CD16:ENSG00000091039 +12,76560249,Monocyte_CD16:ENSG00000091039 +12,76588946,Monocyte_CD16:ENSG00000091039 +12,76589006,Monocyte_CD16:ENSG00000091039 +12,76593631,Monocyte_CD16:ENSG00000091039 +12,76640088,Monocyte_CD16:ENSG00000091039 +12,56159264,Monocyte_CD16:ENSG00000092841 +12,56310265,Monocyte_CD16:ENSG00000092841 +12,122004475,Monocyte_CD16:ENSG00000110801 +12,9853044,Monocyte_CD16:ENSG00000110852 +12,9867631,Monocyte_CD16:ENSG00000110852 +12,9966163,Monocyte_CD16:ENSG00000110852 +12,120521359,Monocyte_CD16:ENSG00000110871 +12,108620465,Monocyte_CD16:ENSG00000110876 +12,108634109,Monocyte_CD16:ENSG00000110876 +12,108674443,Monocyte_CD16:ENSG00000110880 +12,108686254,Monocyte_CD16:ENSG00000110880 +12,30609549,Monocyte_CD16:ENSG00000110888 +12,109451308,Monocyte_CD16:ENSG00000110906 +12,120704239,Monocyte_CD16:ENSG00000110917 +12,120714769,Monocyte_CD16:ENSG00000110917 +12,120792231,Monocyte_CD16:ENSG00000110917 +12,121237911,Monocyte_CD16:ENSG00000110931 +12,121242657,Monocyte_CD16:ENSG00000110931 +12,121288603,Monocyte_CD16:ENSG00000110931 +12,121288662,Monocyte_CD16:ENSG00000110931 +12,56649912,Monocyte_CD16:ENSG00000110958 +12,56659828,Monocyte_CD16:ENSG00000110958 +12,56717804,Monocyte_CD16:ENSG00000110958 +12,122012372,Monocyte_CD16:ENSG00000110987 +12,122030850,Monocyte_CD16:ENSG00000110987 +12,122556438,Monocyte_CD16:ENSG00000111011 +12,95410805,Monocyte_CD16:ENSG00000111142 +12,96013313,Monocyte_CD16:ENSG00000111144 +12,96044863,Monocyte_CD16:ENSG00000111144 +12,96048144,Monocyte_CD16:ENSG00000111144 +12,96013313,Monocyte_CD16:ENSG00000111145 +12,212669,Monocyte_CD16:ENSG00000111181 +12,214321,Monocyte_CD16:ENSG00000111181 +12,10607012,Monocyte_CD16:ENSG00000111196 +12,11171638,Monocyte_CD16:ENSG00000111215 +12,3041139,Monocyte_CD16:ENSG00000111218 +12,110456752,Monocyte_CD16:ENSG00000111229 +12,110456752,Monocyte_CD16:ENSG00000111231 +12,110468064,Monocyte_CD16:ENSG00000111237 +12,110568355,Monocyte_CD16:ENSG00000111237 +12,111407152,Monocyte_CD16:ENSG00000111252 +12,111490046,Monocyte_CD16:ENSG00000111252 +12,12597602,Monocyte_CD16:ENSG00000111269 +12,111520155,Monocyte_CD16:ENSG00000111275 +12,111665344,Monocyte_CD16:ENSG00000111275 +12,111774029,Monocyte_CD16:ENSG00000111275 +12,123273688,Monocyte_CD16:ENSG00000111328 +12,123291919,Monocyte_CD16:ENSG00000111328 +12,112935783,Monocyte_CD16:ENSG00000111331 +12,112965870,Monocyte_CD16:ENSG00000111331 +12,112921513,Monocyte_CD16:ENSG00000111335 +12,14940853,Monocyte_CD16:ENSG00000111348 +12,47871758,Monocyte_CD16:ENSG00000111424 +12,47942830,Monocyte_CD16:ENSG00000111424 +12,130114140,Monocyte_CD16:ENSG00000111450 +12,130981411,Monocyte_CD16:ENSG00000111452 +12,131095927,Monocyte_CD16:ENSG00000111452 +12,131099551,Monocyte_CD16:ENSG00000111452 +12,131103569,Monocyte_CD16:ENSG00000111452 +12,68331345,Monocyte_CD16:ENSG00000111554 +12,68332526,Monocyte_CD16:ENSG00000111554 +12,68687204,Monocyte_CD16:ENSG00000111581 +12,70088992,Monocyte_CD16:ENSG00000111596 +12,69319305,Monocyte_CD16:ENSG00000111605 +12,75484847,Monocyte_CD16:ENSG00000111615 +12,75510437,Monocyte_CD16:ENSG00000111615 +12,6494280,Monocyte_CD16:ENSG00000111639 +12,6539034,Monocyte_CD16:ENSG00000111640 +12,6551831,Monocyte_CD16:ENSG00000111640 +12,6559757,Monocyte_CD16:ENSG00000111642 +12,100139002,Monocyte_CD16:ENSG00000111647 +12,101616563,Monocyte_CD16:ENSG00000111666 +12,101695621,Monocyte_CD16:ENSG00000111666 +12,101697290,Monocyte_CD16:ENSG00000111666 +12,101725630,Monocyte_CD16:ENSG00000111666 +12,6868114,Monocyte_CD16:ENSG00000111669 +12,101839599,Monocyte_CD16:ENSG00000111670 +12,101913564,Monocyte_CD16:ENSG00000111670 +12,6873241,Monocyte_CD16:ENSG00000111671 +12,6873467,Monocyte_CD16:ENSG00000111671 +12,6935090,Monocyte_CD16:ENSG00000111678 +12,6943816,Monocyte_CD16:ENSG00000111678 +12,103834795,Monocyte_CD16:ENSG00000111696 +12,21504684,Monocyte_CD16:ENSG00000111711 +12,21453576,Monocyte_CD16:ENSG00000111716 +12,119671479,Monocyte_CD16:ENSG00000111725 +12,8055929,Monocyte_CD16:ENSG00000111729 +12,22512738,Monocyte_CD16:ENSG00000111731 +12,8911909,Monocyte_CD16:ENSG00000111752 +12,120505638,Monocyte_CD16:ENSG00000111775 +12,132548167,Monocyte_CD16:ENSG00000112787 +12,25074449,Monocyte_CD16:ENSG00000118308 +12,59564728,Monocyte_CD16:ENSG00000118596 +12,59700089,Monocyte_CD16:ENSG00000118596 +12,63842771,Monocyte_CD16:ENSG00000118600 +12,124016175,Monocyte_CD16:ENSG00000119242 +12,409831,Monocyte_CD16:ENSG00000120647 +12,95189768,Monocyte_CD16:ENSG00000120798 +12,98409035,Monocyte_CD16:ENSG00000120802 +12,101365071,Monocyte_CD16:ENSG00000120805 +12,106255545,Monocyte_CD16:ENSG00000120832 +12,106987195,Monocyte_CD16:ENSG00000120832 +12,102069464,Monocyte_CD16:ENSG00000120860 +12,98627660,Monocyte_CD16:ENSG00000120868 +12,14563463,Monocyte_CD16:ENSG00000121316 +12,21575411,Monocyte_CD16:ENSG00000121350 +12,113818201,Monocyte_CD16:ENSG00000122965 +12,110137639,Monocyte_CD16:ENSG00000122986 +12,116401216,Monocyte_CD16:ENSG00000123066 +12,26841897,Monocyte_CD16:ENSG00000123104 +12,50823462,Monocyte_CD16:ENSG00000123268 +12,57788556,Monocyte_CD16:ENSG00000123297 +12,57476943,Monocyte_CD16:ENSG00000123329 +12,53508107,Monocyte_CD16:ENSG00000123349 +12,55735182,Monocyte_CD16:ENSG00000123353 +12,52045994,Monocyte_CD16:ENSG00000123358 +12,54561606,Monocyte_CD16:ENSG00000123360 +12,57128475,Monocyte_CD16:ENSG00000123384 +12,57151171,Monocyte_CD16:ENSG00000123384 +12,52079230,Monocyte_CD16:ENSG00000123395 +12,54292110,Monocyte_CD16:ENSG00000123405 +12,54146054,Monocyte_CD16:ENSG00000123415 +12,49192862,Monocyte_CD16:ENSG00000123416 +12,57788556,Monocyte_CD16:ENSG00000123427 +12,6976087,Monocyte_CD16:ENSG00000126749 +12,66302476,Monocyte_CD16:ENSG00000127311 +12,68383448,Monocyte_CD16:ENSG00000127314 +12,68451822,Monocyte_CD16:ENSG00000127314 +12,68822887,Monocyte_CD16:ENSG00000127314 +12,69783796,Monocyte_CD16:ENSG00000127328 +12,69358787,Monocyte_CD16:ENSG00000127337 +12,3727609,Monocyte_CD16:ENSG00000130038 +12,123496597,Monocyte_CD16:ENSG00000130787 +12,130835913,Monocyte_CD16:ENSG00000132341 +12,92139639,Monocyte_CD16:ENSG00000133639 +12,92220506,Monocyte_CD16:ENSG00000133639 +12,29253188,Monocyte_CD16:ENSG00000133687 +12,29571081,Monocyte_CD16:ENSG00000133687 +12,29585222,Monocyte_CD16:ENSG00000133687 +12,29683845,Monocyte_CD16:ENSG00000133687 +12,29683957,Monocyte_CD16:ENSG00000133687 +12,29761925,Monocyte_CD16:ENSG00000133687 +12,29791645,Monocyte_CD16:ENSG00000133687 +12,25193420,Monocyte_CD16:ENSG00000133703 +12,30654279,Monocyte_CD16:ENSG00000133704 +12,30671790,Monocyte_CD16:ENSG00000133704 +12,42450894,Monocyte_CD16:ENSG00000134283 +12,48957607,Monocyte_CD16:ENSG00000134287 +12,109038211,Monocyte_CD16:ENSG00000135093 +12,116893039,Monocyte_CD16:ENSG00000135116 +12,121161590,Monocyte_CD16:ENSG00000135124 +12,121210329,Monocyte_CD16:ENSG00000135124 +12,121232261,Monocyte_CD16:ENSG00000135124 +12,53664205,Monocyte_CD16:ENSG00000135390 +12,55641711,Monocyte_CD16:ENSG00000135404 +12,55642491,Monocyte_CD16:ENSG00000135404 +12,55651020,Monocyte_CD16:ENSG00000135404 +12,55670316,Monocyte_CD16:ENSG00000135404 +12,55677882,Monocyte_CD16:ENSG00000135404 +12,57788556,Monocyte_CD16:ENSG00000135407 +12,55641711,Monocyte_CD16:ENSG00000135424 +12,55721859,Monocyte_CD16:ENSG00000135437 +12,55641711,Monocyte_CD16:ENSG00000135441 +12,55670316,Monocyte_CD16:ENSG00000135441 +12,55717765,Monocyte_CD16:ENSG00000135441 +12,55721859,Monocyte_CD16:ENSG00000135441 +12,56159264,Monocyte_CD16:ENSG00000135469 +12,52195491,Monocyte_CD16:ENSG00000135480 +12,52227606,Monocyte_CD16:ENSG00000135480 +12,51987243,Monocyte_CD16:ENSG00000135503 +12,57700026,Monocyte_CD16:ENSG00000135506 +12,70355665,Monocyte_CD16:ENSG00000135643 +12,62270491,Monocyte_CD16:ENSG00000135655 +12,64696775,Monocyte_CD16:ENSG00000135677 +12,69016935,Monocyte_CD16:ENSG00000135678 +12,68787741,Monocyte_CD16:ENSG00000135679 +12,108510313,Monocyte_CD16:ENSG00000136003 +12,108546522,Monocyte_CD16:ENSG00000136003 +12,106247252,Monocyte_CD16:ENSG00000136026 +12,106249226,Monocyte_CD16:ENSG00000136026 +12,94124133,Monocyte_CD16:ENSG00000136040 +12,94258983,Monocyte_CD16:ENSG00000136040 +12,94263948,Monocyte_CD16:ENSG00000136040 +12,107733496,Monocyte_CD16:ENSG00000136045 +12,101894950,Monocyte_CD16:ENSG00000136048 +12,105112084,Monocyte_CD16:ENSG00000136051 +12,10429051,Monocyte_CD16:ENSG00000139112 +12,32612232,Monocyte_CD16:ENSG00000139132 +12,42306492,Monocyte_CD16:ENSG00000139168 +12,7102105,Monocyte_CD16:ENSG00000139178 +12,7108741,Monocyte_CD16:ENSG00000139178 +12,7110808,Monocyte_CD16:ENSG00000139178 +12,4655043,Monocyte_CD16:ENSG00000139180 +12,7109587,Monocyte_CD16:ENSG00000139182 +12,6494280,Monocyte_CD16:ENSG00000139190 +12,6459409,Monocyte_CD16:ENSG00000139192 +12,7177410,Monocyte_CD16:ENSG00000139197 +12,45023629,Monocyte_CD16:ENSG00000139218 +12,75461476,Monocyte_CD16:ENSG00000139278 +12,75481804,Monocyte_CD16:ENSG00000139278 +12,75510437,Monocyte_CD16:ENSG00000139278 +12,76641852,Monocyte_CD16:ENSG00000139289 +12,71707454,Monocyte_CD16:ENSG00000139291 +12,89151144,Monocyte_CD16:ENSG00000139318 +12,89180403,Monocyte_CD16:ENSG00000139318 +12,89235904,Monocyte_CD16:ENSG00000139318 +12,95860811,Monocyte_CD16:ENSG00000139343 +12,95944237,Monocyte_CD16:ENSG00000139344 +12,96914893,Monocyte_CD16:ENSG00000139350 +12,103656607,Monocyte_CD16:ENSG00000139372 +12,113075140,Monocyte_CD16:ENSG00000139405 +12,113422357,Monocyte_CD16:ENSG00000139410 +12,109603500,Monocyte_CD16:ENSG00000139428 +12,109846660,Monocyte_CD16:ENSG00000139433 +12,109861746,Monocyte_CD16:ENSG00000139433 +12,51337725,Monocyte_CD16:ENSG00000139610 +12,48725066,Monocyte_CD16:ENSG00000139620 +12,50129746,Monocyte_CD16:ENSG00000139624 +12,53478666,Monocyte_CD16:ENSG00000139625 +12,53480022,Monocyte_CD16:ENSG00000139625 +12,51373420,Monocyte_CD16:ENSG00000139629 +12,51411065,Monocyte_CD16:ENSG00000139629 +12,55687970,Monocyte_CD16:ENSG00000139641 +12,56073694,Monocyte_CD16:ENSG00000139641 +12,49763305,Monocyte_CD16:ENSG00000139644 +12,122879278,Monocyte_CD16:ENSG00000139722 +12,121777720,Monocyte_CD16:ENSG00000139725 +12,121789545,Monocyte_CD16:ENSG00000139725 +12,123432442,Monocyte_CD16:ENSG00000150977 +12,124893863,Monocyte_CD16:ENSG00000150991 +12,124903349,Monocyte_CD16:ENSG00000150991 +12,124912818,Monocyte_CD16:ENSG00000150991 +12,1811633,Monocyte_CD16:ENSG00000151062 +12,106956389,Monocyte_CD16:ENSG00000151135 +12,107329003,Monocyte_CD16:ENSG00000151136 +12,110468064,Monocyte_CD16:ENSG00000151164 +12,41954744,Monocyte_CD16:ENSG00000151233 +12,15694573,Monocyte_CD16:ENSG00000151491 +12,128843105,Monocyte_CD16:ENSG00000151948 +12,64696775,Monocyte_CD16:ENSG00000153179 +12,66114658,Monocyte_CD16:ENSG00000155957 +12,66188160,Monocyte_CD16:ENSG00000155957 +12,121023295,Monocyte_CD16:ENSG00000157782 +12,120990019,Monocyte_CD16:ENSG00000157895 +12,121912984,Monocyte_CD16:ENSG00000158023 +12,54295532,Monocyte_CD16:ENSG00000161642 +12,50035186,Monocyte_CD16:ENSG00000161800 +12,9966163,Monocyte_CD16:ENSG00000165682 +12,98597137,Monocyte_CD16:ENSG00000166130 +12,98642281,Monocyte_CD16:ENSG00000166130 +12,8540898,Monocyte_CD16:ENSG00000166523 +12,8675789,Monocyte_CD16:ENSG00000166532 +12,103920165,Monocyte_CD16:ENSG00000166598 +12,57078844,Monocyte_CD16:ENSG00000166881 +12,57109283,Monocyte_CD16:ENSG00000166888 +12,57936089,Monocyte_CD16:ENSG00000166896 +12,120464476,Monocyte_CD16:ENSG00000167272 +12,48267905,Monocyte_CD16:ENSG00000167528 +12,48319166,Monocyte_CD16:ENSG00000167528 +12,48334511,Monocyte_CD16:ENSG00000167528 +12,49128822,Monocyte_CD16:ENSG00000167552 +12,53009382,Monocyte_CD16:ENSG00000167778 +12,53068902,Monocyte_CD16:ENSG00000167779 +12,53081345,Monocyte_CD16:ENSG00000167779 +12,55670316,Monocyte_CD16:ENSG00000170439 +12,31589985,Monocyte_CD16:ENSG00000170456 +12,51263997,Monocyte_CD16:ENSG00000170545 +12,56354042,Monocyte_CD16:ENSG00000170581 +12,54474496,Monocyte_CD16:ENSG00000170627 +12,104659007,Monocyte_CD16:ENSG00000171310 +12,2877509,Monocyte_CD16:ENSG00000171792 +12,602725,Monocyte_CD16:ENSG00000171840 +12,604490,Monocyte_CD16:ENSG00000171840 +12,621472,Monocyte_CD16:ENSG00000171840 +12,642468,Monocyte_CD16:ENSG00000171840 +12,8055929,Monocyte_CD16:ENSG00000171860 +12,9966163,Monocyte_CD16:ENSG00000172243 +12,10070306,Monocyte_CD16:ENSG00000172243 +12,10130148,Monocyte_CD16:ENSG00000172243 +12,10132470,Monocyte_CD16:ENSG00000172243 +12,9954736,Monocyte_CD16:ENSG00000172322 +12,9966163,Monocyte_CD16:ENSG00000172322 +12,9971737,Monocyte_CD16:ENSG00000172322 +12,109586736,Monocyte_CD16:ENSG00000174456 +12,108313495,Monocyte_CD16:ENSG00000174600 +12,108316443,Monocyte_CD16:ENSG00000174600 +12,108326669,Monocyte_CD16:ENSG00000174600 +12,31804835,Monocyte_CD16:ENSG00000174718 +12,31923607,Monocyte_CD16:ENSG00000174718 +12,31927020,Monocyte_CD16:ENSG00000174718 +12,116893039,Monocyte_CD16:ENSG00000174989 +12,38726274,Monocyte_CD16:ENSG00000175548 +12,68787741,Monocyte_CD16:ENSG00000175782 +12,120652695,Monocyte_CD16:ENSG00000175970 +12,56467691,Monocyte_CD16:ENSG00000176422 +12,118045236,Monocyte_CD16:ENSG00000176871 +12,132645128,Monocyte_CD16:ENSG00000176894 +12,132764267,Monocyte_CD16:ENSG00000176915 +12,131855685,Monocyte_CD16:ENSG00000177169 +12,630852,Monocyte_CD16:ENSG00000177406 +12,641844,Monocyte_CD16:ENSG00000177406 +12,50129746,Monocyte_CD16:ENSG00000178449 +12,12728388,Monocyte_CD16:ENSG00000178878 +12,95136078,Monocyte_CD16:ENSG00000180263 +12,75397183,Monocyte_CD16:ENSG00000180481 +12,75397183,Monocyte_CD16:ENSG00000180881 +12,122976172,Monocyte_CD16:ENSG00000182196 +12,122716992,Monocyte_CD16:ENSG00000182782 +12,122718526,Monocyte_CD16:ENSG00000182782 +12,108623678,Monocyte_CD16:ENSG00000183160 +12,51241561,Monocyte_CD16:ENSG00000183283 +12,51263997,Monocyte_CD16:ENSG00000183283 +12,123851319,Monocyte_CD16:ENSG00000183955 +12,9699727,Monocyte_CD16:ENSG00000184293 +12,9732980,Monocyte_CD16:ENSG00000184293 +12,9733344,Monocyte_CD16:ENSG00000184293 +12,94967987,Monocyte_CD16:ENSG00000184752 +12,95003800,Monocyte_CD16:ENSG00000184752 +12,125000305,Monocyte_CD16:ENSG00000184992 +12,132137079,Monocyte_CD16:ENSG00000185163 +12,123735363,Monocyte_CD16:ENSG00000185344 +12,50918833,Monocyte_CD16:ENSG00000185432 +12,50924667,Monocyte_CD16:ENSG00000185432 +12,57251487,Monocyte_CD16:ENSG00000185482 +12,53478666,Monocyte_CD16:ENSG00000185591 +12,110527709,Monocyte_CD16:ENSG00000186298 +12,76641852,Monocyte_CD16:ENSG00000186908 +12,76029255,Monocyte_CD16:ENSG00000187109 +12,76083296,Monocyte_CD16:ENSG00000187109 +12,76180780,Monocyte_CD16:ENSG00000187109 +12,76585875,Monocyte_CD16:ENSG00000187109 +12,76641852,Monocyte_CD16:ENSG00000187109 +12,121777222,Monocyte_CD16:ENSG00000188735 +12,121789545,Monocyte_CD16:ENSG00000188735 +12,40130460,Monocyte_CD16:ENSG00000188906 +12,40181334,Monocyte_CD16:ENSG00000188906 +12,40209263,Monocyte_CD16:ENSG00000188906 +12,40296908,Monocyte_CD16:ENSG00000188906 +12,132922074,Monocyte_CD16:ENSG00000196458 +12,56717804,Monocyte_CD16:ENSG00000196531 +12,56725552,Monocyte_CD16:ENSG00000196531 +12,116401216,Monocyte_CD16:ENSG00000196668 +12,116532887,Monocyte_CD16:ENSG00000196668 +12,110319223,Monocyte_CD16:ENSG00000196850 +12,63984823,Monocyte_CD16:ENSG00000196935 +12,53478666,Monocyte_CD16:ENSG00000197111 +12,8648156,Monocyte_CD16:ENSG00000197614 +12,56042327,Monocyte_CD16:ENSG00000197728 +12,93466993,Monocyte_CD16:ENSG00000198015 +12,93467825,Monocyte_CD16:ENSG00000198015 +12,93485848,Monocyte_CD16:ENSG00000198015 +12,56725552,Monocyte_CD16:ENSG00000198056 +12,112008906,Monocyte_CD16:ENSG00000198270 +12,111652218,Monocyte_CD16:ENSG00000198324 +12,104287004,Monocyte_CD16:ENSG00000198431 +12,131801059,Monocyte_CD16:ENSG00000198598 +12,131852355,Monocyte_CD16:ENSG00000198598 +12,110456752,Monocyte_CD16:ENSG00000204856 +12,103947620,Monocyte_CD16:ENSG00000204954 +12,53446263,Monocyte_CD16:ENSG00000205352 +12,25074449,Monocyte_CD16:ENSG00000205707 +12,7109587,Monocyte_CD16:ENSG00000205885 +12,7110808,Monocyte_CD16:ENSG00000205885 +12,11171638,Monocyte_CD16:ENSG00000212127 +12,121789545,Monocyte_CD16:ENSG00000212694 +12,6451461,Monocyte_CD16:ENSG00000215039 +12,9943512,Monocyte_CD16:ENSG00000225231 +12,9966163,Monocyte_CD16:ENSG00000225231 +12,11030250,Monocyte_CD16:ENSG00000231887 +12,11171638,Monocyte_CD16:ENSG00000231887 +12,98468910,Monocyte_CD16:ENSG00000245017 +12,92145727,Monocyte_CD16:ENSG00000245904 +12,14798224,Monocyte_CD16:ENSG00000246705 +12,11171638,Monocyte_CD16:ENSG00000247157 +12,68679776,Monocyte_CD16:ENSG00000247363 +12,12927713,Monocyte_CD16:ENSG00000247498 +12,47214858,Monocyte_CD16:ENSG00000247774 +12,8805965,Monocyte_CD16:ENSG00000249790 +12,8816366,Monocyte_CD16:ENSG00000249790 +12,6825971,Monocyte_CD16:ENSG00000250510 +12,54182056,Monocyte_CD16:ENSG00000250742 +12,68383448,Monocyte_CD16:ENSG00000251301 +12,68435000,Monocyte_CD16:ENSG00000251301 +12,68451822,Monocyte_CD16:ENSG00000251301 +12,68463780,Monocyte_CD16:ENSG00000251301 +12,122716992,Monocyte_CD16:ENSG00000255398 +12,31888909,Monocyte_CD16:ENSG00000255760 +12,127162803,Monocyte_CD16:ENSG00000256001 +12,123311732,Monocyte_CD16:ENSG00000256092 +12,123335006,Monocyte_CD16:ENSG00000256092 +12,11177848,Monocyte_CD16:ENSG00000256188 +12,109030698,Monocyte_CD16:ENSG00000256262 +12,121040474,Monocyte_CD16:ENSG00000256364 +12,27710638,Monocyte_CD16:ENSG00000256377 +12,11163935,Monocyte_CD16:ENSG00000256436 +12,11163935,Monocyte_CD16:ENSG00000256537 +12,64350587,Monocyte_CD16:ENSG00000256571 +12,132188078,Monocyte_CD16:ENSG00000256576 +12,9966163,Monocyte_CD16:ENSG00000256660 +12,10013122,Monocyte_CD16:ENSG00000256660 +12,14568671,Monocyte_CD16:ENSG00000256751 +12,107021,Monocyte_CD16:ENSG00000256948 +12,111908,Monocyte_CD16:ENSG00000256948 +12,114879,Monocyte_CD16:ENSG00000256948 +12,115479,Monocyte_CD16:ENSG00000256948 +12,117548,Monocyte_CD16:ENSG00000256948 +12,22233863,Monocyte_CD16:ENSG00000256973 +12,5626993,Monocyte_CD16:ENSG00000256988 +12,9656143,Monocyte_CD16:ENSG00000257027 +12,98409035,Monocyte_CD16:ENSG00000257167 +12,29344283,Monocyte_CD16:ENSG00000257176 +12,120505638,Monocyte_CD16:ENSG00000257218 +12,120584678,Monocyte_CD16:ENSG00000257218 +12,41932613,Monocyte_CD16:ENSG00000257239 +12,46355221,Monocyte_CD16:ENSG00000257261 +12,116893039,Monocyte_CD16:ENSG00000257279 +12,47648088,Monocyte_CD16:ENSG00000257433 +12,89510982,Monocyte_CD16:ENSG00000257594 +12,111375552,Monocyte_CD16:ENSG00000257595 +12,29369503,Monocyte_CD16:ENSG00000257599 +12,57936089,Monocyte_CD16:ENSG00000257698 +12,69291798,Monocyte_CD16:ENSG00000257764 +12,69311914,Monocyte_CD16:ENSG00000257764 +12,69317153,Monocyte_CD16:ENSG00000257764 +12,69326089,Monocyte_CD16:ENSG00000257764 +12,69347680,Monocyte_CD16:ENSG00000257764 +12,69381102,Monocyte_CD16:ENSG00000257764 +12,70243180,Monocyte_CD16:ENSG00000257815 +12,76343781,Monocyte_CD16:ENSG00000257839 +12,49254945,Monocyte_CD16:ENSG00000258101 +12,93837182,Monocyte_CD16:ENSG00000258303 +12,51867706,Monocyte_CD16:ENSG00000260122 +12,40181334,Monocyte_CD16:ENSG00000260943 +12,51849657,Monocyte_CD16:ENSG00000261308 +12,51870087,Monocyte_CD16:ENSG00000261308 +12,14759546,Monocyte_CD16:ENSG00000261324 +12,51849657,Monocyte_CD16:ENSG00000261586 +12,51870087,Monocyte_CD16:ENSG00000261586 +12,48267905,Monocyte_CD16:ENSG00000269514 +12,53563471,Monocyte_CD16:ENSG00000270175 +12,89541128,Monocyte_CD16:ENSG00000270344 +12,49764761,Monocyte_CD16:ENSG00000272368 +12,46355221,Monocyte_CD16:ENSG00000272369 +12,45113197,Monocyte_CD16:ENSG00000273015 +12,68451822,Monocyte_CD16:ENSG00000273824 +12,47648088,Monocyte_CD16:ENSG00000274902 +12,46355221,Monocyte_CD16:ENSG00000275481 +12,27043384,Monocyte_CD16:ENSG00000275764 +12,121643500,Monocyte_CD16:ENSG00000276045 +12,125029324,Monocyte_CD16:ENSG00000280634 +12,9648503,Monocyte_CD16:ENSG00000284634 +12,9656143,Monocyte_CD16:ENSG00000284634 +22,17690337,Monocyte_CD16:ENSG00000015475 +22,17735429,Monocyte_CD16:ENSG00000015475 +22,50524895,Monocyte_CD16:ENSG00000025708 +22,50525724,Monocyte_CD16:ENSG00000025708 +22,50532837,Monocyte_CD16:ENSG00000025708 +22,50542556,Monocyte_CD16:ENSG00000025708 +22,50561586,Monocyte_CD16:ENSG00000025708 +22,50196115,Monocyte_CD16:ENSG00000073169 +22,46294964,Monocyte_CD16:ENSG00000075234 +22,46587848,Monocyte_CD16:ENSG00000075240 +22,46595821,Monocyte_CD16:ENSG00000075240 +22,45347333,Monocyte_CD16:ENSG00000077942 +22,50783672,Monocyte_CD16:ENSG00000079974 +22,45131964,Monocyte_CD16:ENSG00000093000 +22,19919519,Monocyte_CD16:ENSG00000093010 +22,19924835,Monocyte_CD16:ENSG00000093010 +22,17173199,Monocyte_CD16:ENSG00000093072 +22,17175137,Monocyte_CD16:ENSG00000093072 +22,17219394,Monocyte_CD16:ENSG00000093072 +22,17242284,Monocyte_CD16:ENSG00000093072 +22,20560470,Monocyte_CD16:ENSG00000099917 +22,20708046,Monocyte_CD16:ENSG00000099940 +22,20868066,Monocyte_CD16:ENSG00000099940 +22,23813922,Monocyte_CD16:ENSG00000099956 +22,17592981,Monocyte_CD16:ENSG00000099968 +22,17648780,Monocyte_CD16:ENSG00000099968 +22,17683132,Monocyte_CD16:ENSG00000099968 +22,23924767,Monocyte_CD16:ENSG00000099974 +22,23918738,Monocyte_CD16:ENSG00000099977 +22,23924767,Monocyte_CD16:ENSG00000099977 +22,23971679,Monocyte_CD16:ENSG00000099977 +22,24060734,Monocyte_CD16:ENSG00000099991 +22,30383222,Monocyte_CD16:ENSG00000099992 +22,24392729,Monocyte_CD16:ENSG00000100014 +22,24551484,Monocyte_CD16:ENSG00000100028 +22,21943975,Monocyte_CD16:ENSG00000100030 +22,21943975,Monocyte_CD16:ENSG00000100034 +22,30632008,Monocyte_CD16:ENSG00000100036 +22,37283446,Monocyte_CD16:ENSG00000100055 +22,37298931,Monocyte_CD16:ENSG00000100055 +22,37317205,Monocyte_CD16:ENSG00000100055 +22,19128322,Monocyte_CD16:ENSG00000100056 +22,37483434,Monocyte_CD16:ENSG00000100060 +22,19160971,Monocyte_CD16:ENSG00000100075 +22,37575242,Monocyte_CD16:ENSG00000100079 +22,37577188,Monocyte_CD16:ENSG00000100079 +22,37577630,Monocyte_CD16:ENSG00000100079 +22,37633716,Monocyte_CD16:ENSG00000100083 +22,37633716,Monocyte_CD16:ENSG00000100092 +22,37780810,Monocyte_CD16:ENSG00000100092 +22,26185960,Monocyte_CD16:ENSG00000100095 +22,37639342,Monocyte_CD16:ENSG00000100097 +22,37641931,Monocyte_CD16:ENSG00000100097 +22,37663036,Monocyte_CD16:ENSG00000100097 +22,37677372,Monocyte_CD16:ENSG00000100097 +22,37678135,Monocyte_CD16:ENSG00000100097 +22,37777927,Monocyte_CD16:ENSG00000100097 +22,37726455,Monocyte_CD16:ENSG00000100106 +22,37734378,Monocyte_CD16:ENSG00000100106 +22,37755093,Monocyte_CD16:ENSG00000100106 +22,26513892,Monocyte_CD16:ENSG00000100109 +22,38051629,Monocyte_CD16:ENSG00000100124 +22,37855622,Monocyte_CD16:ENSG00000100129 +22,41802089,Monocyte_CD16:ENSG00000100147 +22,38056358,Monocyte_CD16:ENSG00000100151 +22,41334536,Monocyte_CD16:ENSG00000100162 +22,38475886,Monocyte_CD16:ENSG00000100201 +22,38525079,Monocyte_CD16:ENSG00000100201 +22,38724157,Monocyte_CD16:ENSG00000100201 +22,27952903,Monocyte_CD16:ENSG00000100209 +22,28765016,Monocyte_CD16:ENSG00000100209 +22,38720386,Monocyte_CD16:ENSG00000100216 +22,28111528,Monocyte_CD16:ENSG00000100219 +22,32470947,Monocyte_CD16:ENSG00000100225 +22,42566569,Monocyte_CD16:ENSG00000100227 +22,50440471,Monocyte_CD16:ENSG00000100239 +22,42616124,Monocyte_CD16:ENSG00000100243 +22,42644076,Monocyte_CD16:ENSG00000100243 +22,42648566,Monocyte_CD16:ENSG00000100243 +22,35328666,Monocyte_CD16:ENSG00000100284 +22,29490904,Monocyte_CD16:ENSG00000100285 +22,35380936,Monocyte_CD16:ENSG00000100292 +22,35410245,Monocyte_CD16:ENSG00000100292 +22,50562842,Monocyte_CD16:ENSG00000100299 +22,50625049,Monocyte_CD16:ENSG00000100299 +22,50627096,Monocyte_CD16:ENSG00000100299 +22,50628493,Monocyte_CD16:ENSG00000100299 +22,43162920,Monocyte_CD16:ENSG00000100300 +22,43181208,Monocyte_CD16:ENSG00000100304 +22,39332027,Monocyte_CD16:ENSG00000100316 +22,39351082,Monocyte_CD16:ENSG00000100321 +22,38956170,Monocyte_CD16:ENSG00000100324 +22,29820993,Monocyte_CD16:ENSG00000100325 +22,29899972,Monocyte_CD16:ENSG00000100330 +22,36201835,Monocyte_CD16:ENSG00000100336 +22,36258966,Monocyte_CD16:ENSG00000100342 +22,36281868,Monocyte_CD16:ENSG00000100345 +22,43955471,Monocyte_CD16:ENSG00000100347 +22,36494295,Monocyte_CD16:ENSG00000100348 +22,36507049,Monocyte_CD16:ENSG00000100350 +22,36528192,Monocyte_CD16:ENSG00000100353 +22,36775567,Monocyte_CD16:ENSG00000100360 +22,45131964,Monocyte_CD16:ENSG00000100364 +22,45235512,Monocyte_CD16:ENSG00000100364 +22,36855435,Monocyte_CD16:ENSG00000100365 +22,36862461,Monocyte_CD16:ENSG00000100365 +22,45270637,Monocyte_CD16:ENSG00000100373 +22,45279765,Monocyte_CD16:ENSG00000100373 +22,45282495,Monocyte_CD16:ENSG00000100373 +22,45289121,Monocyte_CD16:ENSG00000100373 +22,45292864,Monocyte_CD16:ENSG00000100373 +22,45279765,Monocyte_CD16:ENSG00000100376 +22,45323616,Monocyte_CD16:ENSG00000100376 +22,45331897,Monocyte_CD16:ENSG00000100376 +22,40860798,Monocyte_CD16:ENSG00000100380 +22,40819179,Monocyte_CD16:ENSG00000100387 +22,40688848,Monocyte_CD16:ENSG00000100399 +22,41180372,Monocyte_CD16:ENSG00000100399 +22,41649850,Monocyte_CD16:ENSG00000100401 +22,41260505,Monocyte_CD16:ENSG00000100410 +22,41544367,Monocyte_CD16:ENSG00000100413 +22,41420221,Monocyte_CD16:ENSG00000100417 +22,41598051,Monocyte_CD16:ENSG00000100418 +22,42059176,Monocyte_CD16:ENSG00000100418 +22,46685071,Monocyte_CD16:ENSG00000100422 +22,46739308,Monocyte_CD16:ENSG00000100422 +22,49820034,Monocyte_CD16:ENSG00000100425 +22,50070468,Monocyte_CD16:ENSG00000100427 +22,50083305,Monocyte_CD16:ENSG00000100427 +22,50165289,Monocyte_CD16:ENSG00000100427 +22,20298758,Monocyte_CD16:ENSG00000128185 +22,24424300,Monocyte_CD16:ENSG00000128271 +22,39544257,Monocyte_CD16:ENSG00000128272 +22,37575242,Monocyte_CD16:ENSG00000128283 +22,26537287,Monocyte_CD16:ENSG00000128294 +22,26546161,Monocyte_CD16:ENSG00000128294 +22,23646070,Monocyte_CD16:ENSG00000128322 +22,37224189,Monocyte_CD16:ENSG00000128340 +22,37247243,Monocyte_CD16:ENSG00000128340 +22,37283446,Monocyte_CD16:ENSG00000128340 +22,38942136,Monocyte_CD16:ENSG00000128383 +22,38951897,Monocyte_CD16:ENSG00000128383 +22,38954217,Monocyte_CD16:ENSG00000128383 +22,38962032,Monocyte_CD16:ENSG00000128383 +22,39026834,Monocyte_CD16:ENSG00000128394 +22,39070198,Monocyte_CD16:ENSG00000128394 +22,50542556,Monocyte_CD16:ENSG00000130487 +22,50549764,Monocyte_CD16:ENSG00000130487 +22,50554722,Monocyte_CD16:ENSG00000130487 +22,45682483,Monocyte_CD16:ENSG00000130638 +22,17594874,Monocyte_CD16:ENSG00000131100 +22,23971679,Monocyte_CD16:ENSG00000133433 +22,23860642,Monocyte_CD16:ENSG00000133460 +22,39730964,Monocyte_CD16:ENSG00000133477 +22,44242377,Monocyte_CD16:ENSG00000138964 +22,23634292,Monocyte_CD16:ENSG00000159496 +22,21629025,Monocyte_CD16:ENSG00000161179 +22,30667817,Monocyte_CD16:ENSG00000167065 +22,41682662,Monocyte_CD16:ENSG00000167074 +22,41707028,Monocyte_CD16:ENSG00000167077 +22,27669542,Monocyte_CD16:ENSG00000169184 +22,50196691,Monocyte_CD16:ENSG00000170638 +22,50217680,Monocyte_CD16:ENSG00000170638 +22,42074585,Monocyte_CD16:ENSG00000177096 +22,17061500,Monocyte_CD16:ENSG00000177663 +22,17099227,Monocyte_CD16:ENSG00000177663 +22,17106769,Monocyte_CD16:ENSG00000177663 +22,50532837,Monocyte_CD16:ENSG00000177989 +22,50542556,Monocyte_CD16:ENSG00000177989 +22,38955032,Monocyte_CD16:ENSG00000179750 +22,38958737,Monocyte_CD16:ENSG00000179750 +22,27918557,Monocyte_CD16:ENSG00000180957 +22,46049537,Monocyte_CD16:ENSG00000182257 +22,31230660,Monocyte_CD16:ENSG00000182541 +22,42012075,Monocyte_CD16:ENSG00000183066 +22,42074585,Monocyte_CD16:ENSG00000183172 +22,31812413,Monocyte_CD16:ENSG00000183530 +22,20043938,Monocyte_CD16:ENSG00000183597 +22,18894801,Monocyte_CD16:ENSG00000183628 +22,18900600,Monocyte_CD16:ENSG00000183628 +22,38870446,Monocyte_CD16:ENSG00000183741 +22,38922560,Monocyte_CD16:ENSG00000183741 +22,38962032,Monocyte_CD16:ENSG00000183741 +22,29075335,Monocyte_CD16:ENSG00000183762 +22,20968554,Monocyte_CD16:ENSG00000183773 +22,20968672,Monocyte_CD16:ENSG00000183773 +22,42387590,Monocyte_CD16:ENSG00000183864 +22,49925279,Monocyte_CD16:ENSG00000184164 +22,18148441,Monocyte_CD16:ENSG00000184979 +22,41990945,Monocyte_CD16:ENSG00000184983 +22,42084417,Monocyte_CD16:ENSG00000184983 +22,30608645,Monocyte_CD16:ENSG00000185339 +22,30621356,Monocyte_CD16:ENSG00000185339 +22,29304546,Monocyte_CD16:ENSG00000185340 +22,21561366,Monocyte_CD16:ENSG00000185651 +22,44665267,Monocyte_CD16:ENSG00000186654 +22,44665887,Monocyte_CD16:ENSG00000186654 +22,23321179,Monocyte_CD16:ENSG00000186716 +22,46130036,Monocyte_CD16:ENSG00000186951 +22,49656820,Monocyte_CD16:ENSG00000188511 +22,44025683,Monocyte_CD16:ENSG00000188677 +22,37744345,Monocyte_CD16:ENSG00000189060 +22,37806396,Monocyte_CD16:ENSG00000189060 +22,37806635,Monocyte_CD16:ENSG00000189060 +22,42505552,Monocyte_CD16:ENSG00000189306 +22,42509159,Monocyte_CD16:ENSG00000189306 +22,42510458,Monocyte_CD16:ENSG00000189306 +22,42517679,Monocyte_CD16:ENSG00000189306 +22,42521808,Monocyte_CD16:ENSG00000189306 +22,42531867,Monocyte_CD16:ENSG00000189306 +22,42547475,Monocyte_CD16:ENSG00000189306 +22,40860798,Monocyte_CD16:ENSG00000196236 +22,41802089,Monocyte_CD16:ENSG00000196419 +22,50277544,Monocyte_CD16:ENSG00000196576 +22,50304182,Monocyte_CD16:ENSG00000196576 +22,40668372,Monocyte_CD16:ENSG00000196588 +22,41027796,Monocyte_CD16:ENSG00000196588 +22,31364264,Monocyte_CD16:ENSG00000198089 +22,49976554,Monocyte_CD16:ENSG00000198355 +22,31087469,Monocyte_CD16:ENSG00000198832 +22,42149230,Monocyte_CD16:ENSG00000198951 +22,50583170,Monocyte_CD16:ENSG00000205559 +22,50583170,Monocyte_CD16:ENSG00000205560 +22,50314905,Monocyte_CD16:ENSG00000205593 +22,46242401,Monocyte_CD16:ENSG00000205643 +22,49656820,Monocyte_CD16:ENSG00000212939 +22,49656820,Monocyte_CD16:ENSG00000213279 +22,50562842,Monocyte_CD16:ENSG00000217442 +22,23924767,Monocyte_CD16:ENSG00000218537 +22,35648440,Monocyte_CD16:ENSG00000221963 +22,26779033,Monocyte_CD16:ENSG00000223704 +22,29452492,Monocyte_CD16:ENSG00000225465 +22,26673944,Monocyte_CD16:ENSG00000225783 +22,45131964,Monocyte_CD16:ENSG00000226328 +22,28772767,Monocyte_CD16:ENSG00000226471 +22,40349177,Monocyte_CD16:ENSG00000229999 +22,21002636,Monocyte_CD16:ENSG00000230513 +22,46041476,Monocyte_CD16:ENSG00000231711 +22,49650147,Monocyte_CD16:ENSG00000235111 +22,49656820,Monocyte_CD16:ENSG00000235111 +22,41239200,Monocyte_CD16:ENSG00000235513 +22,27920185,Monocyte_CD16:ENSG00000235954 +22,20031184,Monocyte_CD16:ENSG00000236540 +22,42074585,Monocyte_CD16:ENSG00000237037 +22,20968554,Monocyte_CD16:ENSG00000237476 +22,39062160,Monocyte_CD16:ENSG00000239713 +22,39070198,Monocyte_CD16:ENSG00000239713 +22,23894451,Monocyte_CD16:ENSG00000240972 +22,23895034,Monocyte_CD16:ENSG00000240972 +22,23914067,Monocyte_CD16:ENSG00000240972 +22,23924767,Monocyte_CD16:ENSG00000240972 +22,31638485,Monocyte_CD16:ENSG00000241878 +22,31656649,Monocyte_CD16:ENSG00000241878 +22,31685943,Monocyte_CD16:ENSG00000241878 +22,20868066,Monocyte_CD16:ENSG00000241973 +22,32203729,Monocyte_CD16:ENSG00000242082 +22,42911155,Monocyte_CD16:ENSG00000242247 +22,17970337,Monocyte_CD16:ENSG00000243156 +22,39019775,Monocyte_CD16:ENSG00000243811 +22,39070198,Monocyte_CD16:ENSG00000243811 +22,39014495,Monocyte_CD16:ENSG00000244509 +22,39070198,Monocyte_CD16:ENSG00000244509 +22,26690005,Monocyte_CD16:ENSG00000244625 +22,25459662,Monocyte_CD16:ENSG00000244752 +22,23767788,Monocyte_CD16:ENSG00000250479 +22,23812887,Monocyte_CD16:ENSG00000250479 +22,46762282,Monocyte_CD16:ENSG00000260708 +22,17775616,Monocyte_CD16:ENSG00000269220 +22,50542556,Monocyte_CD16:ENSG00000272666 +22,23924767,Monocyte_CD16:ENSG00000272787 +22,25459662,Monocyte_CD16:ENSG00000272977 +22,50200073,Monocyte_CD16:ENSG00000273253 +22,50540513,Monocyte_CD16:ENSG00000273272 +22,23924767,Monocyte_CD16:ENSG00000273295 +22,22281911,Monocyte_CD16:ENSG00000274422 +22,22302334,Monocyte_CD16:ENSG00000274422 +22,19025192,Monocyte_CD16:ENSG00000278558 +22,49933258,Monocyte_CD16:ENSG00000278869 +22,29653443,Monocyte_CD16:ENSG00000279159 +22,22302334,Monocyte_CD16:ENSG00000279278 +22,18148441,Monocyte_CD16:ENSG00000280007 +22,44205619,Monocyte_CD16:ENSG00000280011 +22,44028228,Monocyte_CD16:ENSG00000280434 +22,16607971,Monocyte_CD16:ENSG00000283633 +22,16610311,Monocyte_CD16:ENSG00000283633 +22,16653694,Monocyte_CD16:ENSG00000283633 +22,16738360,Monocyte_CD16:ENSG00000283633 +22,16753607,Monocyte_CD16:ENSG00000283633 +22,16772686,Monocyte_CD16:ENSG00000283633 +22,50525724,Monocyte_CD16:ENSG00000284194 +22,50540513,Monocyte_CD16:ENSG00000284194 +22,49052447,Monocyte_CD16:ENSG00000286381 +22,38902725,Monocyte_CD16:ENSG00000288106 +10,45382451,Monocyte_CD16:ENSG00000012779 +10,45389458,Monocyte_CD16:ENSG00000012779 +10,45421386,Monocyte_CD16:ENSG00000012779 +10,45596877,Monocyte_CD16:ENSG00000012779 +10,112368619,Monocyte_CD16:ENSG00000023041 +10,16976501,Monocyte_CD16:ENSG00000026025 +10,17202049,Monocyte_CD16:ENSG00000026025 +10,17213096,Monocyte_CD16:ENSG00000026025 +10,17229111,Monocyte_CD16:ENSG00000026025 +10,17229207,Monocyte_CD16:ENSG00000026025 +10,17283411,Monocyte_CD16:ENSG00000026025 +10,88994001,Monocyte_CD16:ENSG00000026103 +10,73976046,Monocyte_CD16:ENSG00000035403 +10,73981263,Monocyte_CD16:ENSG00000035403 +10,74076361,Monocyte_CD16:ENSG00000035403 +10,74153275,Monocyte_CD16:ENSG00000035403 +10,70233350,Monocyte_CD16:ENSG00000042286 +10,114028352,Monocyte_CD16:ENSG00000043591 +10,11163261,Monocyte_CD16:ENSG00000048740 +10,97353029,Monocyte_CD16:ENSG00000052749 +10,100985305,Monocyte_CD16:ENSG00000055950 +10,5813440,Monocyte_CD16:ENSG00000057608 +10,5861754,Monocyte_CD16:ENSG00000057608 +10,5872241,Monocyte_CD16:ENSG00000057608 +10,124418937,Monocyte_CD16:ENSG00000065154 +10,104035748,Monocyte_CD16:ENSG00000065618 +10,14537686,Monocyte_CD16:ENSG00000065809 +10,14638618,Monocyte_CD16:ENSG00000065809 +10,14658279,Monocyte_CD16:ENSG00000065809 +10,14659679,Monocyte_CD16:ENSG00000065809 +10,14659895,Monocyte_CD16:ENSG00000065809 +10,14664423,Monocyte_CD16:ENSG00000065809 +10,14696028,Monocyte_CD16:ENSG00000065809 +10,3095817,Monocyte_CD16:ENSG00000067057 +10,3777922,Monocyte_CD16:ENSG00000067082 +10,3883046,Monocyte_CD16:ENSG00000067082 +10,58384279,Monocyte_CD16:ENSG00000072401 +10,58384447,Monocyte_CD16:ENSG00000072401 +10,26438461,Monocyte_CD16:ENSG00000077420 +10,21023375,Monocyte_CD16:ENSG00000078114 +10,21212385,Monocyte_CD16:ENSG00000078114 +10,21470301,Monocyte_CD16:ENSG00000078403 +10,70149353,Monocyte_CD16:ENSG00000079332 +10,125879691,Monocyte_CD16:ENSG00000089876 +10,100279430,Monocyte_CD16:ENSG00000095485 +10,91887992,Monocyte_CD16:ENSG00000095564 +10,28401152,Monocyte_CD16:ENSG00000095787 +10,28595420,Monocyte_CD16:ENSG00000095787 +10,67866741,Monocyte_CD16:ENSG00000096717 +10,100392426,Monocyte_CD16:ENSG00000099194 +10,69954243,Monocyte_CD16:ENSG00000099284 +10,49744360,Monocyte_CD16:ENSG00000099290 +10,50073040,Monocyte_CD16:ENSG00000099290 +10,50154054,Monocyte_CD16:ENSG00000099290 +10,95291326,Monocyte_CD16:ENSG00000107438 +10,95429286,Monocyte_CD16:ENSG00000107438 +10,98403840,Monocyte_CD16:ENSG00000107521 +10,98433922,Monocyte_CD16:ENSG00000107521 +10,98436129,Monocyte_CD16:ENSG00000107521 +10,13118258,Monocyte_CD16:ENSG00000107537 +10,13159212,Monocyte_CD16:ENSG00000107537 +10,13305578,Monocyte_CD16:ENSG00000107537 +10,44963100,Monocyte_CD16:ENSG00000107551 +10,44971511,Monocyte_CD16:ENSG00000107551 +10,99975197,Monocyte_CD16:ENSG00000107554 +10,100290485,Monocyte_CD16:ENSG00000107593 +10,17243290,Monocyte_CD16:ENSG00000107614 +10,121927941,Monocyte_CD16:ENSG00000107669 +10,122560501,Monocyte_CD16:ENSG00000107679 +10,71235645,Monocyte_CD16:ENSG00000107731 +10,71783788,Monocyte_CD16:ENSG00000107736 +10,71754037,Monocyte_CD16:ENSG00000107738 +10,71844289,Monocyte_CD16:ENSG00000107738 +10,72406091,Monocyte_CD16:ENSG00000107745 +10,84307667,Monocyte_CD16:ENSG00000107771 +10,88994001,Monocyte_CD16:ENSG00000107796 +10,89243088,Monocyte_CD16:ENSG00000107798 +10,89243170,Monocyte_CD16:ENSG00000107798 +10,101025292,Monocyte_CD16:ENSG00000107819 +10,101037502,Monocyte_CD16:ENSG00000107819 +10,91609223,Monocyte_CD16:ENSG00000107854 +10,102178582,Monocyte_CD16:ENSG00000107872 +10,27103357,Monocyte_CD16:ENSG00000107890 +10,27184972,Monocyte_CD16:ENSG00000107897 +10,124494183,Monocyte_CD16:ENSG00000107902 +10,30325345,Monocyte_CD16:ENSG00000107951 +10,103572109,Monocyte_CD16:ENSG00000107954 +10,3117800,Monocyte_CD16:ENSG00000107959 +10,3151220,Monocyte_CD16:ENSG00000107959 +10,103894711,Monocyte_CD16:ENSG00000107960 +10,30438155,Monocyte_CD16:ENSG00000107968 +10,30501432,Monocyte_CD16:ENSG00000107968 +10,30525931,Monocyte_CD16:ENSG00000107968 +10,130181497,Monocyte_CD16:ENSG00000108010 +10,58381788,Monocyte_CD16:ENSG00000108064 +10,58384279,Monocyte_CD16:ENSG00000108064 +10,59959474,Monocyte_CD16:ENSG00000108091 +10,60033688,Monocyte_CD16:ENSG00000108091 +10,35331531,Monocyte_CD16:ENSG00000108100 +10,79287818,Monocyte_CD16:ENSG00000108175 +10,80509705,Monocyte_CD16:ENSG00000108219 +10,80517585,Monocyte_CD16:ENSG00000108219 +10,80529551,Monocyte_CD16:ENSG00000108219 +10,94562647,Monocyte_CD16:ENSG00000108239 +10,89304335,Monocyte_CD16:ENSG00000119917 +10,89243170,Monocyte_CD16:ENSG00000119922 +10,89300844,Monocyte_CD16:ENSG00000119922 +10,98403840,Monocyte_CD16:ENSG00000119943 +10,110221360,Monocyte_CD16:ENSG00000119950 +10,94562647,Monocyte_CD16:ENSG00000119969 +10,119091119,Monocyte_CD16:ENSG00000119979 +10,119104900,Monocyte_CD16:ENSG00000119979 +10,120846336,Monocyte_CD16:ENSG00000120008 +10,120847817,Monocyte_CD16:ENSG00000120008 +10,120857549,Monocyte_CD16:ENSG00000120008 +10,120923297,Monocyte_CD16:ENSG00000120008 +10,27184972,Monocyte_CD16:ENSG00000120539 +10,19816920,Monocyte_CD16:ENSG00000120594 +10,19829154,Monocyte_CD16:ENSG00000120594 +10,79617968,Monocyte_CD16:ENSG00000122359 +10,80190570,Monocyte_CD16:ENSG00000122359 +10,80205899,Monocyte_CD16:ENSG00000122359 +10,87191170,Monocyte_CD16:ENSG00000122376 +10,69045625,Monocyte_CD16:ENSG00000122862 +10,69055776,Monocyte_CD16:ENSG00000122862 +10,69074475,Monocyte_CD16:ENSG00000122862 +10,69202811,Monocyte_CD16:ENSG00000122862 +10,69209851,Monocyte_CD16:ENSG00000122862 +10,58185167,Monocyte_CD16:ENSG00000122873 +10,73256607,Monocyte_CD16:ENSG00000122884 +10,69170443,Monocyte_CD16:ENSG00000122958 +10,13118035,Monocyte_CD16:ENSG00000123240 +10,133373302,Monocyte_CD16:ENSG00000127884 +10,48559324,Monocyte_CD16:ENSG00000128805 +10,48576866,Monocyte_CD16:ENSG00000128805 +10,48651540,Monocyte_CD16:ENSG00000128815 +10,48653116,Monocyte_CD16:ENSG00000128815 +10,133246985,Monocyte_CD16:ENSG00000130640 +10,133264122,Monocyte_CD16:ENSG00000130640 +10,133264727,Monocyte_CD16:ENSG00000130640 +10,127880816,Monocyte_CD16:ENSG00000132334 +10,79893609,Monocyte_CD16:ENSG00000133661 +10,79937095,Monocyte_CD16:ENSG00000133661 +10,80048110,Monocyte_CD16:ENSG00000133678 +10,6094168,Monocyte_CD16:ENSG00000134453 +10,11737150,Monocyte_CD16:ENSG00000134463 +10,11739968,Monocyte_CD16:ENSG00000134463 +10,11740178,Monocyte_CD16:ENSG00000134463 +10,11762526,Monocyte_CD16:ENSG00000134463 +10,5977285,Monocyte_CD16:ENSG00000134470 +10,27103357,Monocyte_CD16:ENSG00000136758 +10,101836078,Monocyte_CD16:ENSG00000138107 +10,102470399,Monocyte_CD16:ENSG00000138107 +10,102506482,Monocyte_CD16:ENSG00000138111 +10,92875882,Monocyte_CD16:ENSG00000138119 +10,93323282,Monocyte_CD16:ENSG00000138119 +10,93401511,Monocyte_CD16:ENSG00000138119 +10,93434033,Monocyte_CD16:ENSG00000138119 +10,93441815,Monocyte_CD16:ENSG00000138119 +10,93471321,Monocyte_CD16:ENSG00000138119 +10,110408419,Monocyte_CD16:ENSG00000138166 +10,110410011,Monocyte_CD16:ENSG00000138166 +10,110424510,Monocyte_CD16:ENSG00000138166 +10,110434034,Monocyte_CD16:ENSG00000138166 +10,103449599,Monocyte_CD16:ENSG00000138172 +10,103463361,Monocyte_CD16:ENSG00000138172 +10,103464955,Monocyte_CD16:ENSG00000138172 +10,103469945,Monocyte_CD16:ENSG00000138172 +10,102662564,Monocyte_CD16:ENSG00000138175 +10,95855339,Monocyte_CD16:ENSG00000138185 +10,95869237,Monocyte_CD16:ENSG00000138185 +10,72215897,Monocyte_CD16:ENSG00000138303 +10,78032150,Monocyte_CD16:ENSG00000138326 +10,78033866,Monocyte_CD16:ENSG00000138326 +10,78120426,Monocyte_CD16:ENSG00000138326 +10,11850431,Monocyte_CD16:ENSG00000148426 +10,11710702,Monocyte_CD16:ENSG00000148429 +10,23072185,Monocyte_CD16:ENSG00000148450 +10,26684954,Monocyte_CD16:ENSG00000148459 +10,16825907,Monocyte_CD16:ENSG00000148484 +10,63128413,Monocyte_CD16:ENSG00000148572 +10,63266433,Monocyte_CD16:ENSG00000148572 +10,63356028,Monocyte_CD16:ENSG00000148572 +10,68059471,Monocyte_CD16:ENSG00000148634 +10,75431683,Monocyte_CD16:ENSG00000148655 +10,87044190,Monocyte_CD16:ENSG00000148672 +10,93700616,Monocyte_CD16:ENSG00000148690 +10,110101296,Monocyte_CD16:ENSG00000148700 +10,72318996,Monocyte_CD16:ENSG00000148719 +10,70442646,Monocyte_CD16:ENSG00000148730 +10,112964098,Monocyte_CD16:ENSG00000148737 +10,113132709,Monocyte_CD16:ENSG00000148737 +10,133372872,Monocyte_CD16:ENSG00000148803 +10,133389373,Monocyte_CD16:ENSG00000148803 +10,133412162,Monocyte_CD16:ENSG00000148824 +10,133373302,Monocyte_CD16:ENSG00000148832 +10,104255006,Monocyte_CD16:ENSG00000148834 +10,104267428,Monocyte_CD16:ENSG00000148834 +10,104335932,Monocyte_CD16:ENSG00000148841 +10,119538966,Monocyte_CD16:ENSG00000148908 +10,28300930,Monocyte_CD16:ENSG00000150054 +10,28343900,Monocyte_CD16:ENSG00000150054 +10,32939665,Monocyte_CD16:ENSG00000150093 +10,110874160,Monocyte_CD16:ENSG00000150593 +10,111013304,Monocyte_CD16:ENSG00000150593 +10,22837164,Monocyte_CD16:ENSG00000150867 +10,133185696,Monocyte_CD16:ENSG00000151650 +10,133230853,Monocyte_CD16:ENSG00000151650 +10,133234305,Monocyte_CD16:ENSG00000151650 +10,133185696,Monocyte_CD16:ENSG00000151651 +10,133280169,Monocyte_CD16:ENSG00000151651 +10,118562962,Monocyte_CD16:ENSG00000151893 +10,118565394,Monocyte_CD16:ENSG00000151893 +10,14412607,Monocyte_CD16:ENSG00000152457 +10,15209138,Monocyte_CD16:ENSG00000152465 +10,89401598,Monocyte_CD16:ENSG00000152778 +10,92748745,Monocyte_CD16:ENSG00000152804 +10,100016073,Monocyte_CD16:ENSG00000155287 +10,96529493,Monocyte_CD16:ENSG00000155629 +10,96716186,Monocyte_CD16:ENSG00000155629 +10,73802699,Monocyte_CD16:ENSG00000156042 +10,74169175,Monocyte_CD16:ENSG00000156110 +10,74169759,Monocyte_CD16:ENSG00000156110 +10,77525099,Monocyte_CD16:ENSG00000156113 +10,77562344,Monocyte_CD16:ENSG00000156113 +10,69347133,Monocyte_CD16:ENSG00000156515 +10,69351512,Monocyte_CD16:ENSG00000156515 +10,31955890,Monocyte_CD16:ENSG00000165322 +10,91496965,Monocyte_CD16:ENSG00000165338 +10,45446623,Monocyte_CD16:ENSG00000165406 +10,45014875,Monocyte_CD16:ENSG00000165512 +10,12173181,Monocyte_CD16:ENSG00000165609 +10,7826058,Monocyte_CD16:ENSG00000165629 +10,75202279,Monocyte_CD16:ENSG00000165637 +10,75236562,Monocyte_CD16:ENSG00000165644 +10,117839965,Monocyte_CD16:ENSG00000165646 +10,75400924,Monocyte_CD16:ENSG00000165655 +10,75437412,Monocyte_CD16:ENSG00000165655 +10,118562962,Monocyte_CD16:ENSG00000165669 +10,119173129,Monocyte_CD16:ENSG00000165672 +10,43090426,Monocyte_CD16:ENSG00000165731 +10,43120460,Monocyte_CD16:ENSG00000165731 +10,43126920,Monocyte_CD16:ENSG00000165731 +10,68856443,Monocyte_CD16:ENSG00000165732 +10,132185770,Monocyte_CD16:ENSG00000165752 +10,132226387,Monocyte_CD16:ENSG00000165752 +10,132235459,Monocyte_CD16:ENSG00000165752 +10,132254995,Monocyte_CD16:ENSG00000165752 +10,132255627,Monocyte_CD16:ENSG00000165752 +10,113640933,Monocyte_CD16:ENSG00000165806 +10,113679771,Monocyte_CD16:ENSG00000165806 +10,113679881,Monocyte_CD16:ENSG00000165806 +10,114227791,Monocyte_CD16:ENSG00000165813 +10,114236914,Monocyte_CD16:ENSG00000165813 +10,16444465,Monocyte_CD16:ENSG00000165983 +10,16512724,Monocyte_CD16:ENSG00000165983 +10,100440988,Monocyte_CD16:ENSG00000166136 +10,101456168,Monocyte_CD16:ENSG00000166169 +10,70855025,Monocyte_CD16:ENSG00000166224 +10,70888586,Monocyte_CD16:ENSG00000166228 +10,70888907,Monocyte_CD16:ENSG00000166228 +10,102793809,Monocyte_CD16:ENSG00000166272 +10,102812324,Monocyte_CD16:ENSG00000166272 +10,102863196,Monocyte_CD16:ENSG00000166275 +10,102863296,Monocyte_CD16:ENSG00000166275 +10,72215373,Monocyte_CD16:ENSG00000166295 +10,72993490,Monocyte_CD16:ENSG00000166321 +10,73670243,Monocyte_CD16:ENSG00000166507 +10,43521922,Monocyte_CD16:ENSG00000169740 +10,43448241,Monocyte_CD16:ENSG00000169813 +10,43120460,Monocyte_CD16:ENSG00000169826 +10,43126920,Monocyte_CD16:ENSG00000169826 +10,129467281,Monocyte_CD16:ENSG00000170430 +10,129505249,Monocyte_CD16:ENSG00000170430 +10,129647467,Monocyte_CD16:ENSG00000170430 +10,129659256,Monocyte_CD16:ENSG00000170430 +10,6045831,Monocyte_CD16:ENSG00000170525 +10,32011929,Monocyte_CD16:ENSG00000170759 +10,102540717,Monocyte_CD16:ENSG00000171206 +10,97399708,Monocyte_CD16:ENSG00000171314 +10,97430057,Monocyte_CD16:ENSG00000171314 +10,133185696,Monocyte_CD16:ENSG00000171794 +10,133221915,Monocyte_CD16:ENSG00000171794 +10,133134354,Monocyte_CD16:ENSG00000171798 +10,133156417,Monocyte_CD16:ENSG00000171798 +10,133174357,Monocyte_CD16:ENSG00000171798 +10,133185696,Monocyte_CD16:ENSG00000171798 +10,133202252,Monocyte_CD16:ENSG00000171798 +10,133013692,Monocyte_CD16:ENSG00000171811 +10,132386599,Monocyte_CD16:ENSG00000171813 +10,88075142,Monocyte_CD16:ENSG00000171862 +10,45534183,Monocyte_CD16:ENSG00000172661 +10,45549409,Monocyte_CD16:ENSG00000172661 +10,45549706,Monocyte_CD16:ENSG00000172661 +10,45741798,Monocyte_CD16:ENSG00000172661 +10,45627346,Monocyte_CD16:ENSG00000172671 +10,94367691,Monocyte_CD16:ENSG00000173145 +10,103402021,Monocyte_CD16:ENSG00000173915 +10,125161466,Monocyte_CD16:ENSG00000175029 +10,125173573,Monocyte_CD16:ENSG00000175029 +10,38817182,Monocyte_CD16:ENSG00000175395 +10,131977530,Monocyte_CD16:ENSG00000176171 +10,132447080,Monocyte_CD16:ENSG00000180066 +10,70233350,Monocyte_CD16:ENSG00000180817 +10,70253120,Monocyte_CD16:ENSG00000180817 +10,70279162,Monocyte_CD16:ENSG00000180817 +10,70302727,Monocyte_CD16:ENSG00000180817 +10,70355549,Monocyte_CD16:ENSG00000180817 +10,70355573,Monocyte_CD16:ENSG00000180817 +10,97297164,Monocyte_CD16:ENSG00000181274 +10,12266435,Monocyte_CD16:ENSG00000183049 +10,30993832,Monocyte_CD16:ENSG00000183621 +10,74169175,Monocyte_CD16:ENSG00000185009 +10,89377854,Monocyte_CD16:ENSG00000185745 +10,93516279,Monocyte_CD16:ENSG00000186188 +10,101025292,Monocyte_CD16:ENSG00000186862 +10,116952944,Monocyte_CD16:ENSG00000187164 +10,80537828,Monocyte_CD16:ENSG00000188199 +10,116952944,Monocyte_CD16:ENSG00000188316 +10,125783601,Monocyte_CD16:ENSG00000188690 +10,125879691,Monocyte_CD16:ENSG00000188690 +10,100175179,Monocyte_CD16:ENSG00000196072 +10,100290485,Monocyte_CD16:ENSG00000196072 +10,123011549,Monocyte_CD16:ENSG00000196177 +10,87467105,Monocyte_CD16:ENSG00000196566 +10,42503542,Monocyte_CD16:ENSG00000196693 +10,73670243,Monocyte_CD16:ENSG00000196968 +10,112390102,Monocyte_CD16:ENSG00000197142 +10,29687897,Monocyte_CD16:ENSG00000197321 +10,29723914,Monocyte_CD16:ENSG00000197321 +10,71783788,Monocyte_CD16:ENSG00000197746 +10,71811921,Monocyte_CD16:ENSG00000197746 +10,71816666,Monocyte_CD16:ENSG00000197746 +10,71889023,Monocyte_CD16:ENSG00000197746 +10,71891073,Monocyte_CD16:ENSG00000197746 +10,119837648,Monocyte_CD16:ENSG00000197771 +10,119872091,Monocyte_CD16:ENSG00000197771 +10,87659352,Monocyte_CD16:ENSG00000198682 +10,119854963,Monocyte_CD16:ENSG00000198825 +10,119267200,Monocyte_CD16:ENSG00000198873 +10,7180495,Monocyte_CD16:ENSG00000198879 +10,7188562,Monocyte_CD16:ENSG00000198879 +10,124769804,Monocyte_CD16:ENSG00000203791 +10,88732599,Monocyte_CD16:ENSG00000204020 +10,88766035,Monocyte_CD16:ENSG00000204020 +10,49136457,Monocyte_CD16:ENSG00000204161 +10,47424075,Monocyte_CD16:ENSG00000204172 +10,21212385,Monocyte_CD16:ENSG00000204683 +10,97297164,Monocyte_CD16:ENSG00000213390 +10,133455845,Monocyte_CD16:ENSG00000214279 +10,110845346,Monocyte_CD16:ENSG00000214413 +10,102863296,Monocyte_CD16:ENSG00000214435 +10,71726698,Monocyte_CD16:ENSG00000214688 +10,71733813,Monocyte_CD16:ENSG00000214688 +10,32392782,Monocyte_CD16:ENSG00000216937 +10,86935145,Monocyte_CD16:ENSG00000223482 +10,86953069,Monocyte_CD16:ENSG00000223482 +10,87029238,Monocyte_CD16:ENSG00000223482 +10,87123542,Monocyte_CD16:ENSG00000223482 +10,87151053,Monocyte_CD16:ENSG00000223482 +10,87191645,Monocyte_CD16:ENSG00000223482 +10,87555683,Monocyte_CD16:ENSG00000223482 +10,87342542,Monocyte_CD16:ENSG00000224914 +10,79686046,Monocyte_CD16:ENSG00000225484 +10,79820507,Monocyte_CD16:ENSG00000225484 +10,79835903,Monocyte_CD16:ENSG00000225484 +10,97286168,Monocyte_CD16:ENSG00000225850 +10,49923463,Monocyte_CD16:ENSG00000226200 +10,80546219,Monocyte_CD16:ENSG00000226659 +10,95942012,Monocyte_CD16:ENSG00000226688 +10,124943817,Monocyte_CD16:ENSG00000226899 +10,120847817,Monocyte_CD16:ENSG00000227165 +10,91808024,Monocyte_CD16:ENSG00000228701 +10,17229207,Monocyte_CD16:ENSG00000229124 +10,17243290,Monocyte_CD16:ENSG00000229124 +10,43422268,Monocyte_CD16:ENSG00000230555 +10,46106237,Monocyte_CD16:ENSG00000231187 +10,47361212,Monocyte_CD16:ENSG00000231187 +10,132420775,Monocyte_CD16:ENSG00000231705 +10,5945962,Monocyte_CD16:ENSG00000232807 +10,112916421,Monocyte_CD16:ENSG00000233547 +10,103463361,Monocyte_CD16:ENSG00000234699 +10,77562344,Monocyte_CD16:ENSG00000236467 +10,130094959,Monocyte_CD16:ENSG00000237489 +10,31706320,Monocyte_CD16:ENSG00000237797 +10,18528445,Monocyte_CD16:ENSG00000240291 +10,18629553,Monocyte_CD16:ENSG00000241058 +10,28401152,Monocyte_CD16:ENSG00000254635 +10,28501070,Monocyte_CD16:ENSG00000254635 +10,28550166,Monocyte_CD16:ENSG00000254635 +10,28566386,Monocyte_CD16:ENSG00000254635 +10,45627346,Monocyte_CD16:ENSG00000266412 +10,46256335,Monocyte_CD16:ENSG00000266412 +10,75431683,Monocyte_CD16:ENSG00000268659 +10,102454607,Monocyte_CD16:ENSG00000269609 +10,11685786,Monocyte_CD16:ENSG00000271046 +10,35331531,Monocyte_CD16:ENSG00000271335 +10,79810323,Monocyte_CD16:ENSG00000272447 +10,100913306,Monocyte_CD16:ENSG00000272572 +10,102640355,Monocyte_CD16:ENSG00000272933 +10,43132326,Monocyte_CD16:ENSG00000273008 +10,103584999,Monocyte_CD16:ENSG00000273108 +10,110410011,Monocyte_CD16:ENSG00000273143 +10,110516798,Monocyte_CD16:ENSG00000273143 +10,120847817,Monocyte_CD16:ENSG00000274461 +10,117343537,Monocyte_CD16:ENSG00000277879 +10,112819116,Monocyte_CD16:ENSG00000285676 +10,49744360,Monocyte_CD16:ENSG00000285803 +10,42497498,Monocyte_CD16:ENSG00000285884 +10,88994001,Monocyte_CD16:ENSG00000286116 +10,63464440,Monocyte_CD16:ENSG00000286373 +10,75431683,Monocyte_CD16:ENSG00000286715 +10,116952944,Monocyte_CD16:ENSG00000287655 +8,17857543,Monocyte_CD16:ENSG00000003987 +8,133456465,Monocyte_CD16:ENSG00000008513 +8,133482331,Monocyte_CD16:ENSG00000008513 +8,133482482,Monocyte_CD16:ENSG00000008513 +8,56125450,Monocyte_CD16:ENSG00000008988 +8,141327691,Monocyte_CD16:ENSG00000022567 +8,41608298,Monocyte_CD16:ENSG00000029534 +8,2128321,Monocyte_CD16:ENSG00000036448 +8,2133269,Monocyte_CD16:ENSG00000036448 +8,20175596,Monocyte_CD16:ENSG00000036565 +8,16143708,Monocyte_CD16:ENSG00000038945 +8,16155085,Monocyte_CD16:ENSG00000038945 +8,16187070,Monocyte_CD16:ENSG00000038945 +8,16320293,Monocyte_CD16:ENSG00000038945 +8,16547704,Monocyte_CD16:ENSG00000038945 +8,73587200,Monocyte_CD16:ENSG00000040341 +8,134322315,Monocyte_CD16:ENSG00000066827 +8,65643952,Monocyte_CD16:ENSG00000066855 +8,70769847,Monocyte_CD16:ENSG00000067167 +8,42332922,Monocyte_CD16:ENSG00000070501 +8,42152948,Monocyte_CD16:ENSG00000070718 +8,100732723,Monocyte_CD16:ENSG00000070756 +8,144386331,Monocyte_CD16:ENSG00000071894 +8,80024740,Monocyte_CD16:ENSG00000076554 +8,81074718,Monocyte_CD16:ENSG00000076641 +8,81154419,Monocyte_CD16:ENSG00000076641 +8,17936433,Monocyte_CD16:ENSG00000078674 +8,11822959,Monocyte_CD16:ENSG00000079459 +8,86514595,Monocyte_CD16:ENSG00000085719 +8,26576370,Monocyte_CD16:ENSG00000092964 +8,17155690,Monocyte_CD16:ENSG00000104219 +8,17157019,Monocyte_CD16:ENSG00000104219 +8,85512387,Monocyte_CD16:ENSG00000104267 +8,96735735,Monocyte_CD16:ENSG00000104324 +8,96923695,Monocyte_CD16:ENSG00000104324 +8,97036360,Monocyte_CD16:ENSG00000104324 +8,90005986,Monocyte_CD16:ENSG00000104325 +8,98293311,Monocyte_CD16:ENSG00000104361 +8,74355383,Monocyte_CD16:ENSG00000104381 +8,60559280,Monocyte_CD16:ENSG00000104388 +8,108179609,Monocyte_CD16:ENSG00000104408 +8,108576098,Monocyte_CD16:ENSG00000104412 +8,133216687,Monocyte_CD16:ENSG00000104419 +8,133246186,Monocyte_CD16:ENSG00000104419 +8,133278308,Monocyte_CD16:ENSG00000104419 +8,133291638,Monocyte_CD16:ENSG00000104419 +8,78663569,Monocyte_CD16:ENSG00000104427 +8,79254606,Monocyte_CD16:ENSG00000104427 +8,78663569,Monocyte_CD16:ENSG00000104432 +8,78866477,Monocyte_CD16:ENSG00000104432 +8,115585182,Monocyte_CD16:ENSG00000104447 +8,100206464,Monocyte_CD16:ENSG00000104450 +8,100213070,Monocyte_CD16:ENSG00000104450 +8,140515626,Monocyte_CD16:ENSG00000104472 +8,140540365,Monocyte_CD16:ENSG00000104472 +8,81862762,Monocyte_CD16:ENSG00000104497 +8,81865704,Monocyte_CD16:ENSG00000104497 +8,102607674,Monocyte_CD16:ENSG00000104517 +8,143560774,Monocyte_CD16:ENSG00000104518 +8,143560999,Monocyte_CD16:ENSG00000104518 +8,143574017,Monocyte_CD16:ENSG00000104529 +8,124757649,Monocyte_CD16:ENSG00000104549 +8,19807792,Monocyte_CD16:ENSG00000104613 +8,9542478,Monocyte_CD16:ENSG00000104626 +8,30120082,Monocyte_CD16:ENSG00000104660 +8,23293259,Monocyte_CD16:ENSG00000104679 +8,30721577,Monocyte_CD16:ENSG00000104687 +8,23225458,Monocyte_CD16:ENSG00000104689 +8,30812874,Monocyte_CD16:ENSG00000104695 +8,655960,Monocyte_CD16:ENSG00000104714 +8,666484,Monocyte_CD16:ENSG00000104714 +8,692770,Monocyte_CD16:ENSG00000104714 +8,1841046,Monocyte_CD16:ENSG00000104728 +8,1859472,Monocyte_CD16:ENSG00000104728 +8,18030941,Monocyte_CD16:ENSG00000104763 +8,18055243,Monocyte_CD16:ENSG00000104763 +8,18069552,Monocyte_CD16:ENSG00000104763 +8,18083424,Monocyte_CD16:ENSG00000104763 +8,26446381,Monocyte_CD16:ENSG00000104765 +8,141129152,Monocyte_CD16:ENSG00000105339 +8,141157308,Monocyte_CD16:ENSG00000105339 +8,23105246,Monocyte_CD16:ENSG00000120889 +8,22482496,Monocyte_CD16:ENSG00000120896 +8,22552315,Monocyte_CD16:ENSG00000120896 +8,27337604,Monocyte_CD16:ENSG00000120899 +8,27453814,Monocyte_CD16:ENSG00000120899 +8,22477575,Monocyte_CD16:ENSG00000120910 +8,22589093,Monocyte_CD16:ENSG00000120913 +8,101150872,Monocyte_CD16:ENSG00000120963 +8,101190477,Monocyte_CD16:ENSG00000120963 +8,86125558,Monocyte_CD16:ENSG00000123124 +8,140540365,Monocyte_CD16:ENSG00000123908 +8,132718060,Monocyte_CD16:ENSG00000129295 +8,17801242,Monocyte_CD16:ENSG00000129422 +8,98114131,Monocyte_CD16:ENSG00000132541 +8,81671536,Monocyte_CD16:ENSG00000133731 +8,85043886,Monocyte_CD16:ENSG00000133739 +8,30083637,Monocyte_CD16:ENSG00000133872 +8,30100300,Monocyte_CD16:ENSG00000133872 +8,33531999,Monocyte_CD16:ENSG00000133874 +8,28096948,Monocyte_CD16:ENSG00000134014 +8,119604131,Monocyte_CD16:ENSG00000136960 +8,119855898,Monocyte_CD16:ENSG00000136982 +8,123020019,Monocyte_CD16:ENSG00000136986 +8,119555129,Monocyte_CD16:ENSG00000136999 +8,54135803,Monocyte_CD16:ENSG00000137547 +8,55812055,Monocyte_CD16:ENSG00000137574 +8,70231849,Monocyte_CD16:ENSG00000140396 +8,6406880,Monocyte_CD16:ENSG00000147316 +8,19705326,Monocyte_CD16:ENSG00000147408 +8,20176066,Monocyte_CD16:ENSG00000147416 +8,27774113,Monocyte_CD16:ENSG00000147419 +8,29052006,Monocyte_CD16:ENSG00000147421 +8,22620294,Monocyte_CD16:ENSG00000147439 +8,21905404,Monocyte_CD16:ENSG00000147443 +8,23559621,Monocyte_CD16:ENSG00000147454 +8,37778131,Monocyte_CD16:ENSG00000147471 +8,38828083,Monocyte_CD16:ENSG00000147526 +8,42433086,Monocyte_CD16:ENSG00000147536 +8,38189813,Monocyte_CD16:ENSG00000147548 +8,70831290,Monocyte_CD16:ENSG00000147592 +8,104496582,Monocyte_CD16:ENSG00000147650 +8,104588504,Monocyte_CD16:ENSG00000147650 +8,124539123,Monocyte_CD16:ENSG00000147684 +8,144413722,Monocyte_CD16:ENSG00000147804 +8,144414270,Monocyte_CD16:ENSG00000147804 +8,143506351,Monocyte_CD16:ENSG00000147813 +8,143574807,Monocyte_CD16:ENSG00000147813 +8,143589973,Monocyte_CD16:ENSG00000147813 +8,143599607,Monocyte_CD16:ENSG00000147813 +8,130130823,Monocyte_CD16:ENSG00000153317 +8,107632260,Monocyte_CD16:ENSG00000154188 +8,11464904,Monocyte_CD16:ENSG00000154319 +8,73994494,Monocyte_CD16:ENSG00000154589 +8,102595514,Monocyte_CD16:ENSG00000155090 +8,102676153,Monocyte_CD16:ENSG00000155090 +8,6729509,Monocyte_CD16:ENSG00000155189 +8,6777929,Monocyte_CD16:ENSG00000155189 +8,133050026,Monocyte_CD16:ENSG00000155926 +8,133075205,Monocyte_CD16:ENSG00000155926 +8,17760970,Monocyte_CD16:ENSG00000155970 +8,94690298,Monocyte_CD16:ENSG00000156162 +8,95087032,Monocyte_CD16:ENSG00000156170 +8,96235543,Monocyte_CD16:ENSG00000156467 +8,37881098,Monocyte_CD16:ENSG00000156675 +8,123422569,Monocyte_CD16:ENSG00000156795 +8,123445969,Monocyte_CD16:ENSG00000156795 +8,32575278,Monocyte_CD16:ENSG00000157168 +8,142757251,Monocyte_CD16:ENSG00000160932 +8,143019620,Monocyte_CD16:ENSG00000160932 +8,143026551,Monocyte_CD16:ENSG00000160932 +8,144422571,Monocyte_CD16:ENSG00000160948 +8,144428520,Monocyte_CD16:ENSG00000160948 +8,144422571,Monocyte_CD16:ENSG00000160949 +8,144519234,Monocyte_CD16:ENSG00000160972 +8,144638200,Monocyte_CD16:ENSG00000160972 +8,144785698,Monocyte_CD16:ENSG00000161016 +8,144792397,Monocyte_CD16:ENSG00000161016 +8,79723355,Monocyte_CD16:ENSG00000164683 +8,80761548,Monocyte_CD16:ENSG00000164684 +8,81280973,Monocyte_CD16:ENSG00000164687 +8,11844866,Monocyte_CD16:ENSG00000164733 +8,11888353,Monocyte_CD16:ENSG00000164733 +8,11893858,Monocyte_CD16:ENSG00000164733 +8,13342717,Monocyte_CD16:ENSG00000164741 +8,117520714,Monocyte_CD16:ENSG00000164758 +8,89886531,Monocyte_CD16:ENSG00000164823 +8,106754312,Monocyte_CD16:ENSG00000164830 +8,99434493,Monocyte_CD16:ENSG00000164919 +8,100948629,Monocyte_CD16:ENSG00000164924 +8,101073779,Monocyte_CD16:ENSG00000164924 +8,103392793,Monocyte_CD16:ENSG00000164934 +8,94954676,Monocyte_CD16:ENSG00000164938 +8,94958936,Monocyte_CD16:ENSG00000164941 +8,93894137,Monocyte_CD16:ENSG00000164951 +8,93912128,Monocyte_CD16:ENSG00000164951 +8,124307452,Monocyte_CD16:ENSG00000164983 +8,43114984,Monocyte_CD16:ENSG00000165102 +8,43523843,Monocyte_CD16:ENSG00000165102 +8,144519234,Monocyte_CD16:ENSG00000167701 +8,55812055,Monocyte_CD16:ENSG00000167904 +8,42852714,Monocyte_CD16:ENSG00000168172 +8,51896971,Monocyte_CD16:ENSG00000168300 +8,51898653,Monocyte_CD16:ENSG00000168300 +8,22139104,Monocyte_CD16:ENSG00000168476 +8,42909579,Monocyte_CD16:ENSG00000168522 +8,21905404,Monocyte_CD16:ENSG00000168546 +8,42541861,Monocyte_CD16:ENSG00000168575 +8,58386587,Monocyte_CD16:ENSG00000169122 +8,141004870,Monocyte_CD16:ENSG00000169398 +8,38996101,Monocyte_CD16:ENSG00000169490 +8,38902387,Monocyte_CD16:ENSG00000169499 +8,38909073,Monocyte_CD16:ENSG00000169499 +8,144891499,Monocyte_CD16:ENSG00000170619 +8,56212711,Monocyte_CD16:ENSG00000170791 +8,124721388,Monocyte_CD16:ENSG00000170873 +8,124784876,Monocyte_CD16:ENSG00000170873 +8,124785181,Monocyte_CD16:ENSG00000170873 +8,124785280,Monocyte_CD16:ENSG00000170873 +8,124790397,Monocyte_CD16:ENSG00000170873 +8,142389203,Monocyte_CD16:ENSG00000171045 +8,60949549,Monocyte_CD16:ENSG00000171316 +8,61050554,Monocyte_CD16:ENSG00000171316 +8,33478688,Monocyte_CD16:ENSG00000172728 +8,23101180,Monocyte_CD16:ENSG00000173535 +8,23105246,Monocyte_CD16:ENSG00000173535 +8,19901888,Monocyte_CD16:ENSG00000175445 +8,20042962,Monocyte_CD16:ENSG00000175445 +8,20074326,Monocyte_CD16:ENSG00000175445 +8,20075352,Monocyte_CD16:ENSG00000175445 +8,95087032,Monocyte_CD16:ENSG00000175895 +8,42541861,Monocyte_CD16:ENSG00000176209 +8,86513963,Monocyte_CD16:ENSG00000176623 +8,85218555,Monocyte_CD16:ENSG00000176731 +8,143046811,Monocyte_CD16:ENSG00000177335 +8,118621022,Monocyte_CD16:ENSG00000177570 +8,143930776,Monocyte_CD16:ENSG00000178209 +8,60462310,Monocyte_CD16:ENSG00000178538 +8,143983700,Monocyte_CD16:ENSG00000178685 +8,143930776,Monocyte_CD16:ENSG00000178719 +8,122864916,Monocyte_CD16:ENSG00000178764 +8,71842805,Monocyte_CD16:ENSG00000178860 +8,144104401,Monocyte_CD16:ENSG00000179091 +8,144104401,Monocyte_CD16:ENSG00000179632 +8,144314636,Monocyte_CD16:ENSG00000179832 +8,142757251,Monocyte_CD16:ENSG00000180155 +8,97488156,Monocyte_CD16:ENSG00000180543 +8,90592376,Monocyte_CD16:ENSG00000180694 +8,90628870,Monocyte_CD16:ENSG00000180694 +8,144734331,Monocyte_CD16:ENSG00000180921 +8,143685262,Monocyte_CD16:ENSG00000181135 +8,1767881,Monocyte_CD16:ENSG00000182372 +8,1800857,Monocyte_CD16:ENSG00000182372 +8,143401132,Monocyte_CD16:ENSG00000182759 +8,124450857,Monocyte_CD16:ENSG00000183665 +8,143335348,Monocyte_CD16:ENSG00000184428 +8,141361760,Monocyte_CD16:ENSG00000184489 +8,141402378,Monocyte_CD16:ENSG00000184489 +8,63140542,Monocyte_CD16:ENSG00000185728 +8,38020190,Monocyte_CD16:ENSG00000187840 +8,123241372,Monocyte_CD16:ENSG00000189376 +8,144792397,Monocyte_CD16:ENSG00000196378 +8,142757064,Monocyte_CD16:ENSG00000197353 +8,142757251,Monocyte_CD16:ENSG00000197353 +8,914103,Monocyte_CD16:ENSG00000198010 +8,979918,Monocyte_CD16:ENSG00000198010 +8,999624,Monocyte_CD16:ENSG00000198010 +8,1043637,Monocyte_CD16:ENSG00000198010 +8,33478688,Monocyte_CD16:ENSG00000198042 +8,61741039,Monocyte_CD16:ENSG00000198363 +8,142612823,Monocyte_CD16:ENSG00000198576 +8,143570841,Monocyte_CD16:ENSG00000204839 +8,143575631,Monocyte_CD16:ENSG00000204839 +8,143577779,Monocyte_CD16:ENSG00000204839 +8,141354063,Monocyte_CD16:ENSG00000204882 +8,141359162,Monocyte_CD16:ENSG00000204882 +8,92965945,Monocyte_CD16:ENSG00000205133 +8,65131231,Monocyte_CD16:ENSG00000205268 +8,47728630,Monocyte_CD16:ENSG00000221869 +8,48106020,Monocyte_CD16:ENSG00000221869 +8,71829468,Monocyte_CD16:ENSG00000235531 +8,71841535,Monocyte_CD16:ENSG00000235531 +8,71874796,Monocyte_CD16:ENSG00000235531 +8,141359162,Monocyte_CD16:ENSG00000244998 +8,95089558,Monocyte_CD16:ENSG00000245080 +8,6405562,Monocyte_CD16:ENSG00000246089 +8,127435302,Monocyte_CD16:ENSG00000246228 +8,56586145,Monocyte_CD16:ENSG00000246430 +8,23225458,Monocyte_CD16:ENSG00000246582 +8,32575278,Monocyte_CD16:ENSG00000247134 +8,143012599,Monocyte_CD16:ENSG00000247317 +8,89762031,Monocyte_CD16:ENSG00000251136 +8,41058642,Monocyte_CD16:ENSG00000253174 +8,141126298,Monocyte_CD16:ENSG00000253210 +8,141129152,Monocyte_CD16:ENSG00000253210 +8,81154718,Monocyte_CD16:ENSG00000253214 +8,103002085,Monocyte_CD16:ENSG00000253320 +8,102808758,Monocyte_CD16:ENSG00000253669 +8,143275502,Monocyte_CD16:ENSG00000253716 +8,91137201,Monocyte_CD16:ENSG00000253738 +8,123641273,Monocyte_CD16:ENSG00000253819 +8,2728156,Monocyte_CD16:ENSG00000253853 +8,2733915,Monocyte_CD16:ENSG00000253853 +8,8682560,Monocyte_CD16:ENSG00000253958 +8,1752325,Monocyte_CD16:ENSG00000253982 +8,1783801,Monocyte_CD16:ENSG00000253982 +8,1794559,Monocyte_CD16:ENSG00000253982 +8,1797231,Monocyte_CD16:ENSG00000253982 +8,55895456,Monocyte_CD16:ENSG00000254087 +8,55926378,Monocyte_CD16:ENSG00000254087 +8,95089558,Monocyte_CD16:ENSG00000254248 +8,106271361,Monocyte_CD16:ENSG00000254615 +8,60949549,Monocyte_CD16:ENSG00000254802 +8,60967798,Monocyte_CD16:ENSG00000254802 +8,143551386,Monocyte_CD16:ENSG00000254859 +8,11801493,Monocyte_CD16:ENSG00000255046 +8,60143715,Monocyte_CD16:ENSG00000255321 +8,12621131,Monocyte_CD16:ENSG00000255495 +8,12723059,Monocyte_CD16:ENSG00000255495 +8,78663569,Monocyte_CD16:ENSG00000261618 +8,141359162,Monocyte_CD16:ENSG00000261655 +8,30120082,Monocyte_CD16:ENSG00000271869 +8,141359162,Monocyte_CD16:ENSG00000271959 +8,141413868,Monocyte_CD16:ENSG00000271959 +8,141434997,Monocyte_CD16:ENSG00000271959 +8,141436524,Monocyte_CD16:ENSG00000271959 +8,102123623,Monocyte_CD16:ENSG00000272037 +8,134719710,Monocyte_CD16:ENSG00000272456 +8,22091559,Monocyte_CD16:ENSG00000275074 +8,8340015,Monocyte_CD16:ENSG00000275342 +8,12621131,Monocyte_CD16:ENSG00000283674 +8,143551386,Monocyte_CD16:ENSG00000287576 +8,133057175,Monocyte_CD16:ENSG00000287736 +19,18587209,Monocyte_CD16:ENSG00000006015 +19,45286743,Monocyte_CD16:ENSG00000007047 +19,17928072,Monocyte_CD16:ENSG00000007080 +19,41586462,Monocyte_CD16:ENSG00000007129 +19,45168071,Monocyte_CD16:ENSG00000007255 +19,4444657,Monocyte_CD16:ENSG00000008382 +19,43673985,Monocyte_CD16:ENSG00000011422 +19,46350798,Monocyte_CD16:ENSG00000011485 +19,46392960,Monocyte_CD16:ENSG00000011485 +19,35907552,Monocyte_CD16:ENSG00000011600 +19,35910327,Monocyte_CD16:ENSG00000011600 +19,45406676,Monocyte_CD16:ENSG00000012061 +19,35303872,Monocyte_CD16:ENSG00000012124 +19,55007356,Monocyte_CD16:ENSG00000022556 +19,13761783,Monocyte_CD16:ENSG00000037757 +19,13764478,Monocyte_CD16:ENSG00000037757 +19,13768530,Monocyte_CD16:ENSG00000037757 +19,49883083,Monocyte_CD16:ENSG00000039650 +19,46838237,Monocyte_CD16:ENSG00000042753 +19,46926541,Monocyte_CD16:ENSG00000042753 +19,18985154,Monocyte_CD16:ENSG00000051128 +19,49354823,Monocyte_CD16:ENSG00000063127 +19,48619183,Monocyte_CD16:ENSG00000063177 +19,48639768,Monocyte_CD16:ENSG00000063180 +19,55702895,Monocyte_CD16:ENSG00000063245 +19,39397750,Monocyte_CD16:ENSG00000063322 +19,39404470,Monocyte_CD16:ENSG00000063322 +19,19219744,Monocyte_CD16:ENSG00000064490 +19,19629920,Monocyte_CD16:ENSG00000064547 +19,1018319,Monocyte_CD16:ENSG00000064666 +19,1021635,Monocyte_CD16:ENSG00000064666 +19,1033560,Monocyte_CD16:ENSG00000064666 +19,1038290,Monocyte_CD16:ENSG00000064666 +19,1038290,Monocyte_CD16:ENSG00000064687 +19,1065019,Monocyte_CD16:ENSG00000064687 +19,1166411,Monocyte_CD16:ENSG00000064932 +19,2106697,Monocyte_CD16:ENSG00000065000 +19,987365,Monocyte_CD16:ENSG00000065268 +19,987817,Monocyte_CD16:ENSG00000065268 +19,2117946,Monocyte_CD16:ENSG00000065717 +19,10430708,Monocyte_CD16:ENSG00000065989 +19,10456029,Monocyte_CD16:ENSG00000065989 +19,10458207,Monocyte_CD16:ENSG00000065989 +19,43911540,Monocyte_CD16:ENSG00000069399 +19,663929,Monocyte_CD16:ENSG00000070404 +19,640863,Monocyte_CD16:ENSG00000070423 +19,1572795,Monocyte_CD16:ENSG00000071564 +19,1644367,Monocyte_CD16:ENSG00000071564 +19,1653121,Monocyte_CD16:ENSG00000071564 +19,44618835,Monocyte_CD16:ENSG00000073008 +19,4656454,Monocyte_CD16:ENSG00000074842 +19,36032767,Monocyte_CD16:ENSG00000075702 +19,36032857,Monocyte_CD16:ENSG00000075702 +19,10338716,Monocyte_CD16:ENSG00000076662 +19,10339102,Monocyte_CD16:ENSG00000076662 +19,10580709,Monocyte_CD16:ENSG00000076662 +19,41870766,Monocyte_CD16:ENSG00000076928 +19,7645383,Monocyte_CD16:ENSG00000076944 +19,42800120,Monocyte_CD16:ENSG00000079385 +19,42311141,Monocyte_CD16:ENSG00000079462 +19,10362462,Monocyte_CD16:ENSG00000079999 +19,19866179,Monocyte_CD16:ENSG00000081665 +19,57790234,Monocyte_CD16:ENSG00000083828 +19,58067797,Monocyte_CD16:ENSG00000083838 +19,57223933,Monocyte_CD16:ENSG00000083844 +19,58387069,Monocyte_CD16:ENSG00000083845 +19,48899144,Monocyte_CD16:ENSG00000087074 +19,48959992,Monocyte_CD16:ENSG00000087086 +19,48962396,Monocyte_CD16:ENSG00000087086 +19,48960027,Monocyte_CD16:ENSG00000087088 +19,54962842,Monocyte_CD16:ENSG00000088053 +19,3099031,Monocyte_CD16:ENSG00000088256 +19,35169605,Monocyte_CD16:ENSG00000089327 +19,35172830,Monocyte_CD16:ENSG00000089327 +19,34678059,Monocyte_CD16:ENSG00000089335 +19,34980655,Monocyte_CD16:ENSG00000089351 +19,34992580,Monocyte_CD16:ENSG00000089351 +19,35020536,Monocyte_CD16:ENSG00000089351 +19,19629920,Monocyte_CD16:ENSG00000089639 +19,40620542,Monocyte_CD16:ENSG00000090006 +19,40461931,Monocyte_CD16:ENSG00000090013 +19,8207968,Monocyte_CD16:ENSG00000090661 +19,8242421,Monocyte_CD16:ENSG00000090661 +19,7491138,Monocyte_CD16:ENSG00000090674 +19,12775664,Monocyte_CD16:ENSG00000095066 +19,10836325,Monocyte_CD16:ENSG00000099203 +19,18083733,Monocyte_CD16:ENSG00000099308 +19,18111285,Monocyte_CD16:ENSG00000099308 +19,17224058,Monocyte_CD16:ENSG00000099330 +19,17226746,Monocyte_CD16:ENSG00000099330 +19,17126984,Monocyte_CD16:ENSG00000099331 +19,38336839,Monocyte_CD16:ENSG00000099338 +19,38375163,Monocyte_CD16:ENSG00000099341 +19,1268995,Monocyte_CD16:ENSG00000099622 +19,1242049,Monocyte_CD16:ENSG00000099624 +19,8418152,Monocyte_CD16:ENSG00000099785 +19,8424185,Monocyte_CD16:ENSG00000099785 +19,8434615,Monocyte_CD16:ENSG00000099785 +19,8463393,Monocyte_CD16:ENSG00000099785 +19,2426830,Monocyte_CD16:ENSG00000099800 +19,563639,Monocyte_CD16:ENSG00000099804 +19,641895,Monocyte_CD16:ENSG00000099822 +19,2628527,Monocyte_CD16:ENSG00000099860 +19,718757,Monocyte_CD16:ENSG00000099864 +19,719295,Monocyte_CD16:ENSG00000099864 +19,2037847,Monocyte_CD16:ENSG00000099875 +19,2051262,Monocyte_CD16:ENSG00000099875 +19,2082679,Monocyte_CD16:ENSG00000099875 +19,11569768,Monocyte_CD16:ENSG00000102575 +19,11581093,Monocyte_CD16:ENSG00000102575 +19,12621060,Monocyte_CD16:ENSG00000104774 +19,12657577,Monocyte_CD16:ENSG00000104774 +19,43777746,Monocyte_CD16:ENSG00000104783 +19,48892676,Monocyte_CD16:ENSG00000104805 +19,48900308,Monocyte_CD16:ENSG00000104805 +19,48923231,Monocyte_CD16:ENSG00000104805 +19,38527640,Monocyte_CD16:ENSG00000104814 +19,38545776,Monocyte_CD16:ENSG00000104814 +19,38556079,Monocyte_CD16:ENSG00000104814 +19,38832452,Monocyte_CD16:ENSG00000104823 +19,38930748,Monocyte_CD16:ENSG00000104835 +19,49487099,Monocyte_CD16:ENSG00000104870 +19,49513491,Monocyte_CD16:ENSG00000104870 +19,49450861,Monocyte_CD16:ENSG00000104872 +19,7491138,Monocyte_CD16:ENSG00000104883 +19,49333989,Monocyte_CD16:ENSG00000104894 +19,49354823,Monocyte_CD16:ENSG00000104894 +19,1552357,Monocyte_CD16:ENSG00000104897 +19,13101007,Monocyte_CD16:ENSG00000104903 +19,13101385,Monocyte_CD16:ENSG00000104903 +19,2258224,Monocyte_CD16:ENSG00000104904 +19,2273225,Monocyte_CD16:ENSG00000104904 +19,2312020,Monocyte_CD16:ENSG00000104904 +19,7668907,Monocyte_CD16:ENSG00000104918 +19,7668969,Monocyte_CD16:ENSG00000104918 +19,7669115,Monocyte_CD16:ENSG00000104918 +19,7699550,Monocyte_CD16:ENSG00000104921 +19,7739271,Monocyte_CD16:ENSG00000104921 +19,49883083,Monocyte_CD16:ENSG00000104946 +19,3062859,Monocyte_CD16:ENSG00000104964 +19,54296648,Monocyte_CD16:ENSG00000104972 +19,54607399,Monocyte_CD16:ENSG00000104972 +19,54623856,Monocyte_CD16:ENSG00000104972 +19,54635623,Monocyte_CD16:ENSG00000104972 +19,54282167,Monocyte_CD16:ENSG00000104974 +19,54296648,Monocyte_CD16:ENSG00000104974 +19,54597278,Monocyte_CD16:ENSG00000104974 +19,54622451,Monocyte_CD16:ENSG00000104974 +19,13773507,Monocyte_CD16:ENSG00000104979 +19,13777309,Monocyte_CD16:ENSG00000104979 +19,14031893,Monocyte_CD16:ENSG00000104998 +19,14039050,Monocyte_CD16:ENSG00000104998 +19,55146720,Monocyte_CD16:ENSG00000105048 +19,55147019,Monocyte_CD16:ENSG00000105048 +19,55160006,Monocyte_CD16:ENSG00000105048 +19,49977825,Monocyte_CD16:ENSG00000105053 +19,50025370,Monocyte_CD16:ENSG00000105053 +19,16186939,Monocyte_CD16:ENSG00000105058 +19,16250991,Monocyte_CD16:ENSG00000105058 +19,15467197,Monocyte_CD16:ENSG00000105122 +19,15167903,Monocyte_CD16:ENSG00000105135 +19,29846220,Monocyte_CD16:ENSG00000105173 +19,32577359,Monocyte_CD16:ENSG00000105185 +19,32581163,Monocyte_CD16:ENSG00000105185 +19,32652699,Monocyte_CD16:ENSG00000105186 +19,39435961,Monocyte_CD16:ENSG00000105193 +19,40422355,Monocyte_CD16:ENSG00000105193 +19,39846440,Monocyte_CD16:ENSG00000105202 +19,40352758,Monocyte_CD16:ENSG00000105223 +19,40687675,Monocyte_CD16:ENSG00000105245 +19,36032857,Monocyte_CD16:ENSG00000105254 +19,36112520,Monocyte_CD16:ENSG00000105254 +19,36114973,Monocyte_CD16:ENSG00000105254 +19,36087776,Monocyte_CD16:ENSG00000105258 +19,36100514,Monocyte_CD16:ENSG00000105258 +19,46784893,Monocyte_CD16:ENSG00000105281 +19,46820127,Monocyte_CD16:ENSG00000105281 +19,46825578,Monocyte_CD16:ENSG00000105281 +19,46720692,Monocyte_CD16:ENSG00000105287 +19,41304090,Monocyte_CD16:ENSG00000105323 +19,41304090,Monocyte_CD16:ENSG00000105329 +19,41355769,Monocyte_CD16:ENSG00000105329 +19,41620075,Monocyte_CD16:ENSG00000105352 +19,41627150,Monocyte_CD16:ENSG00000105352 +19,10238649,Monocyte_CD16:ENSG00000105364 +19,10286562,Monocyte_CD16:ENSG00000105371 +19,10310306,Monocyte_CD16:ENSG00000105371 +19,41870766,Monocyte_CD16:ENSG00000105372 +19,47745668,Monocyte_CD16:ENSG00000105373 +19,47750322,Monocyte_CD16:ENSG00000105373 +19,51372692,Monocyte_CD16:ENSG00000105374 +19,51372732,Monocyte_CD16:ENSG00000105374 +19,51383461,Monocyte_CD16:ENSG00000105374 +19,51407725,Monocyte_CD16:ENSG00000105374 +19,51437011,Monocyte_CD16:ENSG00000105374 +19,10297603,Monocyte_CD16:ENSG00000105376 +19,10310306,Monocyte_CD16:ENSG00000105376 +19,51366384,Monocyte_CD16:ENSG00000105379 +19,51225847,Monocyte_CD16:ENSG00000105383 +19,17273458,Monocyte_CD16:ENSG00000105393 +19,42285411,Monocyte_CD16:ENSG00000105429 +19,42330599,Monocyte_CD16:ENSG00000105429 +19,48399744,Monocyte_CD16:ENSG00000105438 +19,48446029,Monocyte_CD16:ENSG00000105447 +19,50721040,Monocyte_CD16:ENSG00000105472 +19,50727476,Monocyte_CD16:ENSG00000105472 +19,48231760,Monocyte_CD16:ENSG00000105483 +19,51573777,Monocyte_CD16:ENSG00000105497 +19,48100536,Monocyte_CD16:ENSG00000105499 +19,48106458,Monocyte_CD16:ENSG00000105499 +19,48110287,Monocyte_CD16:ENSG00000105499 +19,48124981,Monocyte_CD16:ENSG00000105499 +19,51615043,Monocyte_CD16:ENSG00000105501 +19,51616004,Monocyte_CD16:ENSG00000105501 +19,51621059,Monocyte_CD16:ENSG00000105501 +19,51627866,Monocyte_CD16:ENSG00000105501 +19,51628767,Monocyte_CD16:ENSG00000105501 +19,51632523,Monocyte_CD16:ENSG00000105501 +19,11293839,Monocyte_CD16:ENSG00000105514 +19,11321225,Monocyte_CD16:ENSG00000105514 +19,11322345,Monocyte_CD16:ENSG00000105514 +19,11342769,Monocyte_CD16:ENSG00000105514 +19,11321225,Monocyte_CD16:ENSG00000105518 +19,11293839,Monocyte_CD16:ENSG00000105520 +19,11321225,Monocyte_CD16:ENSG00000105520 +19,11322345,Monocyte_CD16:ENSG00000105520 +19,317203,Monocyte_CD16:ENSG00000105556 +19,52190024,Monocyte_CD16:ENSG00000105568 +19,12669365,Monocyte_CD16:ENSG00000105583 +19,12669390,Monocyte_CD16:ENSG00000105583 +19,54269178,Monocyte_CD16:ENSG00000105609 +19,54270639,Monocyte_CD16:ENSG00000105609 +19,12881765,Monocyte_CD16:ENSG00000105612 +19,12908120,Monocyte_CD16:ENSG00000105612 +19,54102420,Monocyte_CD16:ENSG00000105619 +19,54114852,Monocyte_CD16:ENSG00000105619 +19,17859585,Monocyte_CD16:ENSG00000105640 +19,18464383,Monocyte_CD16:ENSG00000105656 +19,18906763,Monocyte_CD16:ENSG00000105669 +19,35547488,Monocyte_CD16:ENSG00000105677 +19,35309759,Monocyte_CD16:ENSG00000105695 +19,35280029,Monocyte_CD16:ENSG00000105698 +19,34989210,Monocyte_CD16:ENSG00000105711 +19,19589154,Monocyte_CD16:ENSG00000105726 +19,20929359,Monocyte_CD16:ENSG00000105750 +19,43455962,Monocyte_CD16:ENSG00000105755 +19,43501293,Monocyte_CD16:ENSG00000105755 +19,43219505,Monocyte_CD16:ENSG00000105771 +19,55385959,Monocyte_CD16:ENSG00000108107 +19,55398203,Monocyte_CD16:ENSG00000108107 +19,971949,Monocyte_CD16:ENSG00000116017 +19,45406676,Monocyte_CD16:ENSG00000117877 +19,1207239,Monocyte_CD16:ENSG00000118046 +19,46849382,Monocyte_CD16:ENSG00000118162 +19,21570287,Monocyte_CD16:ENSG00000118620 +19,37645100,Monocyte_CD16:ENSG00000120784 +19,58330182,Monocyte_CD16:ENSG00000121410 +19,58347123,Monocyte_CD16:ENSG00000121410 +19,58352083,Monocyte_CD16:ENSG00000121410 +19,14418270,Monocyte_CD16:ENSG00000123136 +19,14325650,Monocyte_CD16:ENSG00000123146 +19,14381407,Monocyte_CD16:ENSG00000123146 +19,14390732,Monocyte_CD16:ENSG00000123146 +19,12288752,Monocyte_CD16:ENSG00000123154 +19,14495898,Monocyte_CD16:ENSG00000123159 +19,33373470,Monocyte_CD16:ENSG00000124299 +19,33386049,Monocyte_CD16:ENSG00000124299 +19,54188125,Monocyte_CD16:ENSG00000125505 +19,54224565,Monocyte_CD16:ENSG00000125505 +19,6383866,Monocyte_CD16:ENSG00000125651 +19,6698416,Monocyte_CD16:ENSG00000125730 +19,6720712,Monocyte_CD16:ENSG00000125730 +19,45515882,Monocyte_CD16:ENSG00000125741 +19,45697955,Monocyte_CD16:ENSG00000125743 +19,45500141,Monocyte_CD16:ENSG00000125744 +19,45641337,Monocyte_CD16:ENSG00000125746 +19,45515882,Monocyte_CD16:ENSG00000125753 +19,45516128,Monocyte_CD16:ENSG00000125753 +19,45526561,Monocyte_CD16:ENSG00000125753 +19,3176172,Monocyte_CD16:ENSG00000125910 +19,3180371,Monocyte_CD16:ENSG00000125910 +19,3185831,Monocyte_CD16:ENSG00000125910 +19,3185831,Monocyte_CD16:ENSG00000125912 +19,35739866,Monocyte_CD16:ENSG00000126246 +19,35741519,Monocyte_CD16:ENSG00000126246 +19,36128490,Monocyte_CD16:ENSG00000126247 +19,36149867,Monocyte_CD16:ENSG00000126247 +19,35401918,Monocyte_CD16:ENSG00000126251 +19,35401918,Monocyte_CD16:ENSG00000126262 +19,36465557,Monocyte_CD16:ENSG00000126264 +19,35659862,Monocyte_CD16:ENSG00000126267 +19,49761973,Monocyte_CD16:ENSG00000126467 +19,14755578,Monocyte_CD16:ENSG00000127507 +19,14768222,Monocyte_CD16:ENSG00000127507 +19,14772011,Monocyte_CD16:ENSG00000127507 +19,14782701,Monocyte_CD16:ENSG00000127507 +19,14783858,Monocyte_CD16:ENSG00000127507 +19,14784782,Monocyte_CD16:ENSG00000127507 +19,16801862,Monocyte_CD16:ENSG00000127511 +19,16330113,Monocyte_CD16:ENSG00000127528 +19,11024978,Monocyte_CD16:ENSG00000127616 +19,4814099,Monocyte_CD16:ENSG00000127666 +19,10564039,Monocyte_CD16:ENSG00000129347 +19,10596297,Monocyte_CD16:ENSG00000129353 +19,10596297,Monocyte_CD16:ENSG00000129354 +19,10608639,Monocyte_CD16:ENSG00000129355 +19,1883548,Monocyte_CD16:ENSG00000129968 +19,440637,Monocyte_CD16:ENSG00000130005 +19,11510616,Monocyte_CD16:ENSG00000130159 +19,44858317,Monocyte_CD16:ENSG00000130202 +19,44869072,Monocyte_CD16:ENSG00000130202 +19,5652561,Monocyte_CD16:ENSG00000130255 +19,5693088,Monocyte_CD16:ENSG00000130255 +19,17377363,Monocyte_CD16:ENSG00000130300 +19,17380093,Monocyte_CD16:ENSG00000130300 +19,17406524,Monocyte_CD16:ENSG00000130303 +19,17550445,Monocyte_CD16:ENSG00000130309 +19,17342568,Monocyte_CD16:ENSG00000130311 +19,17306756,Monocyte_CD16:ENSG00000130312 +19,17516296,Monocyte_CD16:ENSG00000130313 +19,38696735,Monocyte_CD16:ENSG00000130402 +19,17779506,Monocyte_CD16:ENSG00000130475 +19,18332840,Monocyte_CD16:ENSG00000130517 +19,18235193,Monocyte_CD16:ENSG00000130518 +19,18282222,Monocyte_CD16:ENSG00000130520 +19,18306568,Monocyte_CD16:ENSG00000130520 +19,18324591,Monocyte_CD16:ENSG00000130520 +19,18280361,Monocyte_CD16:ENSG00000130522 +19,49158325,Monocyte_CD16:ENSG00000130529 +19,38847179,Monocyte_CD16:ENSG00000130669 +19,39183394,Monocyte_CD16:ENSG00000130669 +19,58555024,Monocyte_CD16:ENSG00000130724 +19,47046533,Monocyte_CD16:ENSG00000130748 +19,39349909,Monocyte_CD16:ENSG00000130755 +19,40190606,Monocyte_CD16:ENSG00000130758 +19,10112186,Monocyte_CD16:ENSG00000130811 +19,10112186,Monocyte_CD16:ENSG00000130812 +19,53554523,Monocyte_CD16:ENSG00000130844 +19,54240874,Monocyte_CD16:ENSG00000131042 +19,54265351,Monocyte_CD16:ENSG00000131042 +19,54277703,Monocyte_CD16:ENSG00000131042 +19,54280068,Monocyte_CD16:ENSG00000131042 +19,54281924,Monocyte_CD16:ENSG00000131042 +19,54283837,Monocyte_CD16:ENSG00000131042 +19,17056086,Monocyte_CD16:ENSG00000131351 +19,14613117,Monocyte_CD16:ENSG00000131355 +19,14613248,Monocyte_CD16:ENSG00000131355 +19,14659817,Monocyte_CD16:ENSG00000131355 +19,50348677,Monocyte_CD16:ENSG00000131398 +19,50348677,Monocyte_CD16:ENSG00000131400 +19,50348677,Monocyte_CD16:ENSG00000131408 +19,56320139,Monocyte_CD16:ENSG00000131848 +19,58407038,Monocyte_CD16:ENSG00000131849 +19,32972540,Monocyte_CD16:ENSG00000131944 +19,13927289,Monocyte_CD16:ENSG00000132024 +19,2016167,Monocyte_CD16:ENSG00000133243 +19,8491002,Monocyte_CD16:ENSG00000133246 +19,8494375,Monocyte_CD16:ENSG00000133246 +19,55276938,Monocyte_CD16:ENSG00000133265 +19,47297843,Monocyte_CD16:ENSG00000134830 +19,13206676,Monocyte_CD16:ENSG00000141837 +19,507731,Monocyte_CD16:ENSG00000141933 +19,518686,Monocyte_CD16:ENSG00000141933 +19,17417933,Monocyte_CD16:ENSG00000141971 +19,5795072,Monocyte_CD16:ENSG00000141994 +19,41382945,Monocyte_CD16:ENSG00000142046 +19,36261765,Monocyte_CD16:ENSG00000142065 +19,48339145,Monocyte_CD16:ENSG00000142227 +19,45090912,Monocyte_CD16:ENSG00000142252 +19,8550705,Monocyte_CD16:ENSG00000142347 +19,8550724,Monocyte_CD16:ENSG00000142347 +19,58315155,Monocyte_CD16:ENSG00000142396 +19,58315169,Monocyte_CD16:ENSG00000142396 +19,53838410,Monocyte_CD16:ENSG00000142405 +19,7815440,Monocyte_CD16:ENSG00000142459 +19,51407453,Monocyte_CD16:ENSG00000142512 +19,51407725,Monocyte_CD16:ENSG00000142512 +19,49481125,Monocyte_CD16:ENSG00000142541 +19,49541484,Monocyte_CD16:ENSG00000142546 +19,33386049,Monocyte_CD16:ENSG00000153879 +19,46619930,Monocyte_CD16:ENSG00000160013 +19,46620611,Monocyte_CD16:ENSG00000160013 +19,46590124,Monocyte_CD16:ENSG00000160014 +19,46615032,Monocyte_CD16:ENSG00000160014 +19,16900115,Monocyte_CD16:ENSG00000160111 +19,17236255,Monocyte_CD16:ENSG00000160113 +19,17288960,Monocyte_CD16:ENSG00000160117 +19,20801608,Monocyte_CD16:ENSG00000160229 +19,51367458,Monocyte_CD16:ENSG00000160318 +19,53441479,Monocyte_CD16:ENSG00000160336 +19,21100447,Monocyte_CD16:ENSG00000160352 +19,40586548,Monocyte_CD16:ENSG00000160410 +19,55063100,Monocyte_CD16:ENSG00000160439 +19,55063144,Monocyte_CD16:ENSG00000160439 +19,55072990,Monocyte_CD16:ENSG00000160439 +19,14692133,Monocyte_CD16:ENSG00000160961 +19,15467933,Monocyte_CD16:ENSG00000161031 +19,15529185,Monocyte_CD16:ENSG00000161031 +19,35741519,Monocyte_CD16:ENSG00000161265 +19,49461548,Monocyte_CD16:ENSG00000161618 +19,49468339,Monocyte_CD16:ENSG00000161618 +19,49956549,Monocyte_CD16:ENSG00000161640 +19,49961199,Monocyte_CD16:ENSG00000161640 +19,50497840,Monocyte_CD16:ENSG00000161671 +19,50474700,Monocyte_CD16:ENSG00000161677 +19,50497840,Monocyte_CD16:ENSG00000161677 +19,10126168,Monocyte_CD16:ENSG00000161847 +19,23385859,Monocyte_CD16:ENSG00000167232 +19,44165808,Monocyte_CD16:ENSG00000167380 +19,16092494,Monocyte_CD16:ENSG00000167460 +19,16130820,Monocyte_CD16:ENSG00000167461 +19,1099702,Monocyte_CD16:ENSG00000167468 +19,1103786,Monocyte_CD16:ENSG00000167468 +19,1104079,Monocyte_CD16:ENSG00000167468 +19,1115299,Monocyte_CD16:ENSG00000167468 +19,1248349,Monocyte_CD16:ENSG00000167470 +19,52570311,Monocyte_CD16:ENSG00000167562 +19,52647078,Monocyte_CD16:ENSG00000167562 +19,40440938,Monocyte_CD16:ENSG00000167565 +19,54164811,Monocyte_CD16:ENSG00000167608 +19,54353814,Monocyte_CD16:ENSG00000167613 +19,54381715,Monocyte_CD16:ENSG00000167613 +19,54489606,Monocyte_CD16:ENSG00000167618 +19,54502815,Monocyte_CD16:ENSG00000167618 +19,54507774,Monocyte_CD16:ENSG00000167618 +19,54508156,Monocyte_CD16:ENSG00000167618 +19,54510116,Monocyte_CD16:ENSG00000167618 +19,38245164,Monocyte_CD16:ENSG00000167642 +19,38264452,Monocyte_CD16:ENSG00000167642 +19,38304110,Monocyte_CD16:ENSG00000167645 +19,4444859,Monocyte_CD16:ENSG00000167671 +19,52619258,Monocyte_CD16:ENSG00000167766 +19,52638372,Monocyte_CD16:ENSG00000167766 +19,52647078,Monocyte_CD16:ENSG00000167766 +19,12766150,Monocyte_CD16:ENSG00000167815 +19,51139804,Monocyte_CD16:ENSG00000168995 +19,54202060,Monocyte_CD16:ENSG00000170889 +19,54204215,Monocyte_CD16:ENSG00000170889 +19,54209501,Monocyte_CD16:ENSG00000170889 +19,54192638,Monocyte_CD16:ENSG00000170892 +19,54108427,Monocyte_CD16:ENSG00000170906 +19,54114852,Monocyte_CD16:ENSG00000170906 +19,54046303,Monocyte_CD16:ENSG00000170909 +19,54047861,Monocyte_CD16:ENSG00000170909 +19,54063999,Monocyte_CD16:ENSG00000170909 +19,54091525,Monocyte_CD16:ENSG00000170909 +19,54102420,Monocyte_CD16:ENSG00000170909 +19,53087254,Monocyte_CD16:ENSG00000170949 +19,41805999,Monocyte_CD16:ENSG00000170956 +19,41922093,Monocyte_CD16:ENSG00000170956 +19,51753290,Monocyte_CD16:ENSG00000171049 +19,51765449,Monocyte_CD16:ENSG00000171049 +19,51753290,Monocyte_CD16:ENSG00000171051 +19,7183540,Monocyte_CD16:ENSG00000171105 +19,11794045,Monocyte_CD16:ENSG00000171291 +19,55643152,Monocyte_CD16:ENSG00000171425 +19,9638353,Monocyte_CD16:ENSG00000171466 +19,9638353,Monocyte_CD16:ENSG00000171469 +19,58405899,Monocyte_CD16:ENSG00000171574 +19,15483989,Monocyte_CD16:ENSG00000171954 +19,15522178,Monocyte_CD16:ENSG00000171954 +19,2812155,Monocyte_CD16:ENSG00000172006 +19,2082679,Monocyte_CD16:ENSG00000172081 +19,563639,Monocyte_CD16:ENSG00000172270 +19,583450,Monocyte_CD16:ENSG00000172270 +19,21332879,Monocyte_CD16:ENSG00000172687 +19,21570287,Monocyte_CD16:ENSG00000172687 +19,57956226,Monocyte_CD16:ENSG00000173480 +19,12612331,Monocyte_CD16:ENSG00000173875 +19,11303935,Monocyte_CD16:ENSG00000173928 +19,9423625,Monocyte_CD16:ENSG00000174652 +19,6900819,Monocyte_CD16:ENSG00000174837 +19,6901471,Monocyte_CD16:ENSG00000174837 +19,6929089,Monocyte_CD16:ENSG00000174837 +19,6937161,Monocyte_CD16:ENSG00000174837 +19,6938773,Monocyte_CD16:ENSG00000174837 +19,870489,Monocyte_CD16:ENSG00000175221 +19,887226,Monocyte_CD16:ENSG00000175221 +19,18382810,Monocyte_CD16:ENSG00000175489 +19,18402007,Monocyte_CD16:ENSG00000175489 +19,2936537,Monocyte_CD16:ENSG00000175691 +19,43498267,Monocyte_CD16:ENSG00000176531 +19,58007523,Monocyte_CD16:ENSG00000176593 +19,3024053,Monocyte_CD16:ENSG00000176619 +19,41416146,Monocyte_CD16:ENSG00000177191 +19,57803905,Monocyte_CD16:ENSG00000178935 +19,4061192,Monocyte_CD16:ENSG00000178951 +19,47761975,Monocyte_CD16:ENSG00000178980 +19,47778401,Monocyte_CD16:ENSG00000178980 +19,38545776,Monocyte_CD16:ENSG00000178982 +19,38556079,Monocyte_CD16:ENSG00000178982 +19,38618083,Monocyte_CD16:ENSG00000178982 +19,38668907,Monocyte_CD16:ENSG00000178982 +19,12912045,Monocyte_CD16:ENSG00000179115 +19,12912045,Monocyte_CD16:ENSG00000179218 +19,53896376,Monocyte_CD16:ENSG00000179820 +19,55317502,Monocyte_CD16:ENSG00000180061 +19,1069391,Monocyte_CD16:ENSG00000180448 +19,36261765,Monocyte_CD16:ENSG00000181007 +19,46720692,Monocyte_CD16:ENSG00000181027 +19,7680920,Monocyte_CD16:ENSG00000181029 +19,7682559,Monocyte_CD16:ENSG00000181029 +19,7683500,Monocyte_CD16:ENSG00000181029 +19,7714967,Monocyte_CD16:ENSG00000181029 +19,37307974,Monocyte_CD16:ENSG00000181666 +19,21570287,Monocyte_CD16:ENSG00000182141 +19,51710490,Monocyte_CD16:ENSG00000182310 +19,7714967,Monocyte_CD16:ENSG00000182566 +19,3762928,Monocyte_CD16:ENSG00000183617 +19,45770913,Monocyte_CD16:ENSG00000185800 +19,35401918,Monocyte_CD16:ENSG00000185897 +19,19594100,Monocyte_CD16:ENSG00000186010 +19,44049227,Monocyte_CD16:ENSG00000186026 +19,3638126,Monocyte_CD16:ENSG00000186111 +19,57438168,Monocyte_CD16:ENSG00000186230 +19,2846085,Monocyte_CD16:ENSG00000186300 +19,54880218,Monocyte_CD16:ENSG00000186431 +19,54616176,Monocyte_CD16:ENSG00000186818 +19,54652454,Monocyte_CD16:ENSG00000186818 +19,54661088,Monocyte_CD16:ENSG00000186818 +19,54663046,Monocyte_CD16:ENSG00000186818 +19,54282167,Monocyte_CD16:ENSG00000187116 +19,54298005,Monocyte_CD16:ENSG00000187116 +19,54300343,Monocyte_CD16:ENSG00000187116 +19,54309396,Monocyte_CD16:ENSG00000187116 +19,11321225,Monocyte_CD16:ENSG00000187266 +19,51785689,Monocyte_CD16:ENSG00000187474 +19,9153725,Monocyte_CD16:ENSG00000188000 +19,20572622,Monocyte_CD16:ENSG00000188171 +19,37564259,Monocyte_CD16:ENSG00000188283 +19,2275080,Monocyte_CD16:ENSG00000188305 +19,9324196,Monocyte_CD16:ENSG00000188321 +19,40470002,Monocyte_CD16:ENSG00000188493 +19,54802832,Monocyte_CD16:ENSG00000189013 +19,36711164,Monocyte_CD16:ENSG00000189042 +19,54047861,Monocyte_CD16:ENSG00000189068 +19,54051854,Monocyte_CD16:ENSG00000189068 +19,54061858,Monocyte_CD16:ENSG00000189068 +19,54063999,Monocyte_CD16:ENSG00000189068 +19,52781467,Monocyte_CD16:ENSG00000189190 +19,52800637,Monocyte_CD16:ENSG00000189190 +19,54896335,Monocyte_CD16:ENSG00000189430 +19,38522455,Monocyte_CD16:ENSG00000196218 +19,38556079,Monocyte_CD16:ENSG00000196218 +19,21570287,Monocyte_CD16:ENSG00000196268 +19,5696951,Monocyte_CD16:ENSG00000196365 +19,9753418,Monocyte_CD16:ENSG00000196605 +19,16139927,Monocyte_CD16:ENSG00000196684 +19,21151200,Monocyte_CD16:ENSG00000196705 +19,21570287,Monocyte_CD16:ENSG00000196705 +19,56572755,Monocyte_CD16:ENSG00000196867 +19,37164074,Monocyte_CD16:ENSG00000196967 +19,21514161,Monocyte_CD16:ENSG00000197013 +19,21570287,Monocyte_CD16:ENSG00000197013 +19,56572755,Monocyte_CD16:ENSG00000197016 +19,21570287,Monocyte_CD16:ENSG00000197020 +19,21739834,Monocyte_CD16:ENSG00000197020 +19,11812020,Monocyte_CD16:ENSG00000197044 +19,11986621,Monocyte_CD16:ENSG00000197054 +19,20045394,Monocyte_CD16:ENSG00000197124 +19,57449965,Monocyte_CD16:ENSG00000197128 +19,22062552,Monocyte_CD16:ENSG00000197134 +19,11195331,Monocyte_CD16:ENSG00000197256 +19,23696877,Monocyte_CD16:ENSG00000197372 +19,47375766,Monocyte_CD16:ENSG00000197405 +19,859368,Monocyte_CD16:ENSG00000197766 +19,859374,Monocyte_CD16:ENSG00000197766 +19,861421,Monocyte_CD16:ENSG00000197766 +19,870489,Monocyte_CD16:ENSG00000197766 +19,40096924,Monocyte_CD16:ENSG00000197782 +19,49354823,Monocyte_CD16:ENSG00000197813 +19,53258338,Monocyte_CD16:ENSG00000197928 +19,53156828,Monocyte_CD16:ENSG00000197937 +19,9483003,Monocyte_CD16:ENSG00000197961 +19,11293839,Monocyte_CD16:ENSG00000198003 +19,11420026,Monocyte_CD16:ENSG00000198003 +19,58280847,Monocyte_CD16:ENSG00000198131 +19,57851641,Monocyte_CD16:ENSG00000198466 +19,52527595,Monocyte_CD16:ENSG00000198482 +19,21570287,Monocyte_CD16:ENSG00000198521 +19,870489,Monocyte_CD16:ENSG00000198858 +19,53365706,Monocyte_CD16:ENSG00000203326 +19,57803905,Monocyte_CD16:ENSG00000204514 +19,54200900,Monocyte_CD16:ENSG00000204577 +19,54202060,Monocyte_CD16:ENSG00000204577 +19,54209501,Monocyte_CD16:ENSG00000204577 +19,54217762,Monocyte_CD16:ENSG00000204577 +19,52859452,Monocyte_CD16:ENSG00000204604 +19,46493671,Monocyte_CD16:ENSG00000204850 +19,43984200,Monocyte_CD16:ENSG00000204920 +19,4893480,Monocyte_CD16:ENSG00000205784 +19,52615913,Monocyte_CD16:ENSG00000213020 +19,49916899,Monocyte_CD16:ENSG00000213024 +19,45462326,Monocyte_CD16:ENSG00000213889 +19,45502954,Monocyte_CD16:ENSG00000213889 +19,45516454,Monocyte_CD16:ENSG00000213889 +19,32766621,Monocyte_CD16:ENSG00000213965 +19,10836325,Monocyte_CD16:ENSG00000214212 +19,18173841,Monocyte_CD16:ENSG00000216490 +19,18190170,Monocyte_CD16:ENSG00000216490 +19,18196661,Monocyte_CD16:ENSG00000216490 +19,11962600,Monocyte_CD16:ENSG00000219665 +19,2290500,Monocyte_CD16:ENSG00000220008 +19,10310306,Monocyte_CD16:ENSG00000220201 +19,52383892,Monocyte_CD16:ENSG00000221923 +19,18587209,Monocyte_CD16:ENSG00000221983 +19,1905560,Monocyte_CD16:ENSG00000227500 +19,1268995,Monocyte_CD16:ENSG00000228300 +19,7626907,Monocyte_CD16:ENSG00000229833 +19,43283767,Monocyte_CD16:ENSG00000231412 +19,43303646,Monocyte_CD16:ENSG00000231412 +19,43324554,Monocyte_CD16:ENSG00000231412 +19,36261765,Monocyte_CD16:ENSG00000232677 +19,8325429,Monocyte_CD16:ENSG00000233927 +19,54275601,Monocyte_CD16:ENSG00000239961 +19,54281924,Monocyte_CD16:ENSG00000239961 +19,54296648,Monocyte_CD16:ENSG00000239961 +19,54296648,Monocyte_CD16:ENSG00000239998 +19,54572919,Monocyte_CD16:ENSG00000239998 +19,54573515,Monocyte_CD16:ENSG00000239998 +19,54632040,Monocyte_CD16:ENSG00000239998 +19,54633523,Monocyte_CD16:ENSG00000239998 +19,54219714,Monocyte_CD16:ENSG00000244482 +19,54237558,Monocyte_CD16:ENSG00000244482 +19,54245208,Monocyte_CD16:ENSG00000244482 +19,54245684,Monocyte_CD16:ENSG00000244482 +19,54248040,Monocyte_CD16:ENSG00000244482 +19,54269178,Monocyte_CD16:ENSG00000244482 +19,33268667,Monocyte_CD16:ENSG00000245848 +19,33276936,Monocyte_CD16:ENSG00000245848 +19,33298491,Monocyte_CD16:ENSG00000245848 +19,33341379,Monocyte_CD16:ENSG00000245848 +19,51611832,Monocyte_CD16:ENSG00000254415 +19,51612691,Monocyte_CD16:ENSG00000254415 +19,51617075,Monocyte_CD16:ENSG00000254415 +19,51626895,Monocyte_CD16:ENSG00000254415 +19,51632523,Monocyte_CD16:ENSG00000254415 +19,51647558,Monocyte_CD16:ENSG00000254415 +19,51509788,Monocyte_CD16:ENSG00000254521 +19,41990675,Monocyte_CD16:ENSG00000254887 +19,57353997,Monocyte_CD16:ENSG00000256060 +19,52053236,Monocyte_CD16:ENSG00000256087 +19,20118132,Monocyte_CD16:ENSG00000256229 +19,20278910,Monocyte_CD16:ENSG00000256229 +19,19953562,Monocyte_CD16:ENSG00000256771 +19,47257375,Monocyte_CD16:ENSG00000257704 +19,47270390,Monocyte_CD16:ENSG00000257704 +19,27780866,Monocyte_CD16:ENSG00000261824 +19,16225900,Monocyte_CD16:ENSG00000267033 +19,36261319,Monocyte_CD16:ENSG00000267053 +19,43858871,Monocyte_CD16:ENSG00000267058 +19,10676574,Monocyte_CD16:ENSG00000267100 +19,14136720,Monocyte_CD16:ENSG00000267169 +19,11303935,Monocyte_CD16:ENSG00000267174 +19,11321225,Monocyte_CD16:ENSG00000267174 +19,11322345,Monocyte_CD16:ENSG00000267174 +19,54971645,Monocyte_CD16:ENSG00000267265 +19,55000548,Monocyte_CD16:ENSG00000267265 +19,16324463,Monocyte_CD16:ENSG00000267275 +19,1988770,Monocyte_CD16:ENSG00000267283 +19,33358215,Monocyte_CD16:ENSG00000267296 +19,20278910,Monocyte_CD16:ENSG00000267383 +19,14458811,Monocyte_CD16:ENSG00000267474 +19,3140788,Monocyte_CD16:ENSG00000267551 +19,6274265,Monocyte_CD16:ENSG00000267563 +19,27835399,Monocyte_CD16:ENSG00000267575 +19,11303935,Monocyte_CD16:ENSG00000267576 +19,37141353,Monocyte_CD16:ENSG00000267672 +19,563639,Monocyte_CD16:ENSG00000267751 +19,45641337,Monocyte_CD16:ENSG00000267757 +19,45641767,Monocyte_CD16:ENSG00000267757 +19,8311320,Monocyte_CD16:ENSG00000267855 +19,8311547,Monocyte_CD16:ENSG00000267855 +19,8019645,Monocyte_CD16:ENSG00000267939 +19,48256108,Monocyte_CD16:ENSG00000268001 +19,48257808,Monocyte_CD16:ENSG00000268001 +19,18566257,Monocyte_CD16:ENSG00000268030 +19,21570287,Monocyte_CD16:ENSG00000268081 +19,22558177,Monocyte_CD16:ENSG00000268240 +19,24063022,Monocyte_CD16:ENSG00000268362 +19,58280847,Monocyte_CD16:ENSG00000268516 +19,50497840,Monocyte_CD16:ENSG00000268518 +19,46350798,Monocyte_CD16:ENSG00000268810 +19,58352083,Monocyte_CD16:ENSG00000268895 +19,46620611,Monocyte_CD16:ENSG00000269292 +19,57819644,Monocyte_CD16:ENSG00000269343 +19,8389352,Monocyte_CD16:ENSG00000269386 +19,38832452,Monocyte_CD16:ENSG00000269688 +19,39267445,Monocyte_CD16:ENSG00000269688 +19,52647078,Monocyte_CD16:ENSG00000269825 +19,52396303,Monocyte_CD16:ENSG00000269834 +19,40799888,Monocyte_CD16:ENSG00000269858 +19,51611832,Monocyte_CD16:ENSG00000273837 +19,51612691,Monocyte_CD16:ENSG00000273837 +19,51617075,Monocyte_CD16:ENSG00000273837 +19,51626895,Monocyte_CD16:ENSG00000273837 +19,51629139,Monocyte_CD16:ENSG00000273837 +19,51647558,Monocyte_CD16:ENSG00000273837 +19,39965818,Monocyte_CD16:ENSG00000275395 +19,58306592,Monocyte_CD16:ENSG00000283103 +19,58319320,Monocyte_CD16:ENSG00000283103 +19,50150269,Monocyte_CD16:ENSG00000287001 +19,2291060,Monocyte_CD16:ENSG00000287766 +3,50503156,Monocyte_CD16:ENSG00000003756 +3,129568161,Monocyte_CD16:ENSG00000004399 +3,129599751,Monocyte_CD16:ENSG00000004399 +3,130043220,Monocyte_CD16:ENSG00000004399 +3,50122676,Monocyte_CD16:ENSG00000004534 +3,43652116,Monocyte_CD16:ENSG00000011198 +3,45473392,Monocyte_CD16:ENSG00000011376 +3,132300565,Monocyte_CD16:ENSG00000014257 +3,132354481,Monocyte_CD16:ENSG00000014257 +3,119305532,Monocyte_CD16:ENSG00000031081 +3,119323125,Monocyte_CD16:ENSG00000031081 +3,27460024,Monocyte_CD16:ENSG00000033867 +3,27560201,Monocyte_CD16:ENSG00000033867 +3,27605925,Monocyte_CD16:ENSG00000033867 +3,194648851,Monocyte_CD16:ENSG00000041802 +3,47566847,Monocyte_CD16:ENSG00000047849 +3,138708593,Monocyte_CD16:ENSG00000051382 +3,52830677,Monocyte_CD16:ENSG00000055955 +3,179653366,Monocyte_CD16:ENSG00000058056 +3,182840635,Monocyte_CD16:ENSG00000058063 +3,38126634,Monocyte_CD16:ENSG00000060971 +3,141851349,Monocyte_CD16:ENSG00000069849 +3,141864057,Monocyte_CD16:ENSG00000069849 +3,126448068,Monocyte_CD16:ENSG00000070476 +3,196111497,Monocyte_CD16:ENSG00000072274 +3,3167971,Monocyte_CD16:ENSG00000072756 +3,127587682,Monocyte_CD16:ENSG00000073111 +3,136001831,Monocyte_CD16:ENSG00000073711 +3,185283523,Monocyte_CD16:ENSG00000073803 +3,186992553,Monocyte_CD16:ENSG00000073849 +3,187071601,Monocyte_CD16:ENSG00000073849 +3,127718034,Monocyte_CD16:ENSG00000074416 +3,127755187,Monocyte_CD16:ENSG00000074416 +3,127771101,Monocyte_CD16:ENSG00000074416 +3,127908484,Monocyte_CD16:ENSG00000074416 +3,171810165,Monocyte_CD16:ENSG00000075651 +3,128630533,Monocyte_CD16:ENSG00000075785 +3,44999397,Monocyte_CD16:ENSG00000075914 +3,12536738,Monocyte_CD16:ENSG00000075975 +3,183091805,Monocyte_CD16:ENSG00000078070 +3,158634717,Monocyte_CD16:ENSG00000079257 +3,158672607,Monocyte_CD16:ENSG00000079257 +3,158683377,Monocyte_CD16:ENSG00000079257 +3,97917245,Monocyte_CD16:ENSG00000080200 +3,98504835,Monocyte_CD16:ENSG00000080822 +3,120099738,Monocyte_CD16:ENSG00000082701 +3,149857558,Monocyte_CD16:ENSG00000082996 +3,149961361,Monocyte_CD16:ENSG00000082996 +3,87218270,Monocyte_CD16:ENSG00000083937 +3,87351971,Monocyte_CD16:ENSG00000083937 +3,169151701,Monocyte_CD16:ENSG00000085276 +3,47066871,Monocyte_CD16:ENSG00000088727 +3,32483534,Monocyte_CD16:ENSG00000091317 +3,133579339,Monocyte_CD16:ENSG00000091527 +3,37082927,Monocyte_CD16:ENSG00000093167 +3,185283523,Monocyte_CD16:ENSG00000113790 +3,53872486,Monocyte_CD16:ENSG00000113811 +3,120276104,Monocyte_CD16:ENSG00000113845 +3,3151243,Monocyte_CD16:ENSG00000113851 +3,188417995,Monocyte_CD16:ENSG00000113916 +3,132635051,Monocyte_CD16:ENSG00000113971 +3,132722424,Monocyte_CD16:ENSG00000113971 +3,121953458,Monocyte_CD16:ENSG00000114013 +3,121995172,Monocyte_CD16:ENSG00000114013 +3,121995326,Monocyte_CD16:ENSG00000114013 +3,122065760,Monocyte_CD16:ENSG00000114013 +3,122119944,Monocyte_CD16:ENSG00000114013 +3,100335646,Monocyte_CD16:ENSG00000114021 +3,122403245,Monocyte_CD16:ENSG00000114023 +3,122531633,Monocyte_CD16:ENSG00000114030 +3,140750329,Monocyte_CD16:ENSG00000114120 +3,141745304,Monocyte_CD16:ENSG00000114125 +3,141851349,Monocyte_CD16:ENSG00000114125 +3,142149569,Monocyte_CD16:ENSG00000114126 +3,142327823,Monocyte_CD16:ENSG00000114127 +3,167868779,Monocyte_CD16:ENSG00000114209 +3,49003029,Monocyte_CD16:ENSG00000114302 +3,193894371,Monocyte_CD16:ENSG00000114315 +3,49322510,Monocyte_CD16:ENSG00000114316 +3,100748174,Monocyte_CD16:ENSG00000114354 +3,101564326,Monocyte_CD16:ENSG00000114391 +3,62281124,Monocyte_CD16:ENSG00000114405 +3,62281279,Monocyte_CD16:ENSG00000114405 +3,62319398,Monocyte_CD16:ENSG00000114405 +3,105955129,Monocyte_CD16:ENSG00000114423 +3,107651083,Monocyte_CD16:ENSG00000114439 +3,108288740,Monocyte_CD16:ENSG00000114446 +3,179374452,Monocyte_CD16:ENSG00000114450 +3,124722610,Monocyte_CD16:ENSG00000114491 +3,69325642,Monocyte_CD16:ENSG00000114541 +3,69337777,Monocyte_CD16:ENSG00000114541 +3,126052813,Monocyte_CD16:ENSG00000114544 +3,126079657,Monocyte_CD16:ENSG00000114544 +3,126083762,Monocyte_CD16:ENSG00000114544 +3,126920876,Monocyte_CD16:ENSG00000114554 +3,127381348,Monocyte_CD16:ENSG00000114626 +3,127587682,Monocyte_CD16:ENSG00000114626 +3,127678710,Monocyte_CD16:ENSG00000114626 +3,127718034,Monocyte_CD16:ENSG00000114626 +3,127755187,Monocyte_CD16:ENSG00000114626 +3,47339009,Monocyte_CD16:ENSG00000114648 +3,47332352,Monocyte_CD16:ENSG00000114650 +3,130967002,Monocyte_CD16:ENSG00000114670 +3,50543817,Monocyte_CD16:ENSG00000114737 +3,50642955,Monocyte_CD16:ENSG00000114738 +3,50698964,Monocyte_CD16:ENSG00000114738 +3,50702266,Monocyte_CD16:ENSG00000114738 +3,39107727,Monocyte_CD16:ENSG00000114742 +3,184022562,Monocyte_CD16:ENSG00000114770 +3,40301022,Monocyte_CD16:ENSG00000114784 +3,154180729,Monocyte_CD16:ENSG00000114790 +3,183634546,Monocyte_CD16:ENSG00000114796 +3,42490447,Monocyte_CD16:ENSG00000114812 +3,156598903,Monocyte_CD16:ENSG00000114850 +3,42624996,Monocyte_CD16:ENSG00000114853 +3,42658964,Monocyte_CD16:ENSG00000114857 +3,71063409,Monocyte_CD16:ENSG00000114861 +3,52647916,Monocyte_CD16:ENSG00000114902 +3,158826381,Monocyte_CD16:ENSG00000118855 +3,196902707,Monocyte_CD16:ENSG00000119227 +3,150535120,Monocyte_CD16:ENSG00000120742 +3,122316007,Monocyte_CD16:ENSG00000121552 +3,122325197,Monocyte_CD16:ENSG00000121552 +3,122334433,Monocyte_CD16:ENSG00000121552 +3,172509848,Monocyte_CD16:ENSG00000121858 +3,172520069,Monocyte_CD16:ENSG00000121858 +3,172559189,Monocyte_CD16:ENSG00000121858 +3,172565383,Monocyte_CD16:ENSG00000121858 +3,172577921,Monocyte_CD16:ENSG00000121858 +3,172586544,Monocyte_CD16:ENSG00000121858 +3,179419485,Monocyte_CD16:ENSG00000121864 +3,197755889,Monocyte_CD16:ENSG00000122068 +3,193671601,Monocyte_CD16:ENSG00000127249 +3,134489325,Monocyte_CD16:ENSG00000129055 +3,15272091,Monocyte_CD16:ENSG00000131370 +3,15332543,Monocyte_CD16:ENSG00000131370 +3,17543877,Monocyte_CD16:ENSG00000131374 +3,14431770,Monocyte_CD16:ENSG00000131389 +3,14479052,Monocyte_CD16:ENSG00000131389 +3,12669302,Monocyte_CD16:ENSG00000132155 +3,13410019,Monocyte_CD16:ENSG00000132182 +3,9712907,Monocyte_CD16:ENSG00000134072 +3,9780230,Monocyte_CD16:ENSG00000134072 +3,9362966,Monocyte_CD16:ENSG00000134077 +3,9363240,Monocyte_CD16:ENSG00000134077 +3,10163569,Monocyte_CD16:ENSG00000134086 +3,57982145,Monocyte_CD16:ENSG00000136068 +3,57998677,Monocyte_CD16:ENSG00000136068 +3,179619617,Monocyte_CD16:ENSG00000136521 +3,179596333,Monocyte_CD16:ENSG00000136522 +3,185921774,Monocyte_CD16:ENSG00000136527 +3,132660221,Monocyte_CD16:ENSG00000138246 +3,112533543,Monocyte_CD16:ENSG00000138459 +3,122759194,Monocyte_CD16:ENSG00000138463 +3,101526268,Monocyte_CD16:ENSG00000138468 +3,119653517,Monocyte_CD16:ENSG00000138495 +3,119677008,Monocyte_CD16:ENSG00000138495 +3,119680528,Monocyte_CD16:ENSG00000138495 +3,122457391,Monocyte_CD16:ENSG00000138496 +3,4361853,Monocyte_CD16:ENSG00000144455 +3,11808333,Monocyte_CD16:ENSG00000144559 +3,11846517,Monocyte_CD16:ENSG00000144559 +3,11640978,Monocyte_CD16:ENSG00000144560 +3,19959069,Monocyte_CD16:ENSG00000144566 +3,32579867,Monocyte_CD16:ENSG00000144635 +3,36568938,Monocyte_CD16:ENSG00000144681 +3,12841572,Monocyte_CD16:ENSG00000144713 +3,66236632,Monocyte_CD16:ENSG00000144741 +3,69013445,Monocyte_CD16:ENSG00000144746 +3,69104703,Monocyte_CD16:ENSG00000144746 +3,45570557,Monocyte_CD16:ENSG00000144791 +3,45674196,Monocyte_CD16:ENSG00000144791 +3,101868741,Monocyte_CD16:ENSG00000144802 +3,101779233,Monocyte_CD16:ENSG00000144815 +3,100624895,Monocyte_CD16:ENSG00000144820 +3,111991359,Monocyte_CD16:ENSG00000144827 +3,119775319,Monocyte_CD16:ENSG00000144837 +3,119579762,Monocyte_CD16:ENSG00000144843 +3,119584333,Monocyte_CD16:ENSG00000144843 +3,112562284,Monocyte_CD16:ENSG00000144848 +3,112572986,Monocyte_CD16:ENSG00000144848 +3,150590388,Monocyte_CD16:ENSG00000144895 +3,125594866,Monocyte_CD16:ENSG00000144909 +3,125614880,Monocyte_CD16:ENSG00000144909 +3,172698745,Monocyte_CD16:ENSG00000144959 +3,188152990,Monocyte_CD16:ENSG00000145012 +3,188397894,Monocyte_CD16:ENSG00000145012 +3,188887068,Monocyte_CD16:ENSG00000145012 +3,194633785,Monocyte_CD16:ENSG00000145014 +3,49473498,Monocyte_CD16:ENSG00000145022 +3,121953458,Monocyte_CD16:ENSG00000145088 +3,4489074,Monocyte_CD16:ENSG00000150995 +3,4494017,Monocyte_CD16:ENSG00000150995 +3,26115267,Monocyte_CD16:ENSG00000151092 +3,191268951,Monocyte_CD16:ENSG00000152492 +3,191301669,Monocyte_CD16:ENSG00000152492 +3,191326204,Monocyte_CD16:ENSG00000152492 +3,32395924,Monocyte_CD16:ENSG00000153551 +3,32413589,Monocyte_CD16:ENSG00000153551 +3,171553723,Monocyte_CD16:ENSG00000154310 +3,12486101,Monocyte_CD16:ENSG00000154743 +3,16309942,Monocyte_CD16:ENSG00000154813 +3,141617993,Monocyte_CD16:ENSG00000155903 +3,185081414,Monocyte_CD16:ENSG00000156931 +3,186800863,Monocyte_CD16:ENSG00000156976 +3,9847001,Monocyte_CD16:ENSG00000156990 +3,10273419,Monocyte_CD16:ENSG00000157014 +3,38468897,Monocyte_CD16:ENSG00000157036 +3,55043403,Monocyte_CD16:ENSG00000157445 +3,136819135,Monocyte_CD16:ENSG00000158092 +3,138362784,Monocyte_CD16:ENSG00000158186 +3,138609174,Monocyte_CD16:ENSG00000158234 +3,126824903,Monocyte_CD16:ENSG00000159685 +3,122319613,Monocyte_CD16:ENSG00000160124 +3,122392074,Monocyte_CD16:ENSG00000160124 +3,46208452,Monocyte_CD16:ENSG00000160791 +3,46306001,Monocyte_CD16:ENSG00000160791 +3,46369445,Monocyte_CD16:ENSG00000160791 +3,46884049,Monocyte_CD16:ENSG00000160799 +3,184151073,Monocyte_CD16:ENSG00000161203 +3,51987300,Monocyte_CD16:ENSG00000162244 +3,51993837,Monocyte_CD16:ENSG00000162244 +3,51995887,Monocyte_CD16:ENSG00000162244 +3,51995929,Monocyte_CD16:ENSG00000162244 +3,51995963,Monocyte_CD16:ENSG00000162244 +3,69012893,Monocyte_CD16:ENSG00000163378 +3,119487773,Monocyte_CD16:ENSG00000163389 +3,71722064,Monocyte_CD16:ENSG00000163412 +3,71780091,Monocyte_CD16:ENSG00000163412 +3,71780091,Monocyte_CD16:ENSG00000163421 +3,120319517,Monocyte_CD16:ENSG00000163428 +3,108522340,Monocyte_CD16:ENSG00000163507 +3,28348860,Monocyte_CD16:ENSG00000163512 +3,30649827,Monocyte_CD16:ENSG00000163513 +3,167868779,Monocyte_CD16:ENSG00000163536 +3,19946945,Monocyte_CD16:ENSG00000163576 +3,170865099,Monocyte_CD16:ENSG00000163584 +3,160801930,Monocyte_CD16:ENSG00000163590 +3,72264455,Monocyte_CD16:ENSG00000163602 +3,112974906,Monocyte_CD16:ENSG00000163606 +3,113006595,Monocyte_CD16:ENSG00000163607 +3,156705283,Monocyte_CD16:ENSG00000163659 +3,157154287,Monocyte_CD16:ENSG00000163660 +3,157160776,Monocyte_CD16:ENSG00000163660 +3,58289904,Monocyte_CD16:ENSG00000163684 +3,58218148,Monocyte_CD16:ENSG00000163686 +3,9907950,Monocyte_CD16:ENSG00000163702 +3,10025121,Monocyte_CD16:ENSG00000163703 +3,143066571,Monocyte_CD16:ENSG00000163714 +3,180093292,Monocyte_CD16:ENSG00000163728 +3,148970517,Monocyte_CD16:ENSG00000163751 +3,148990881,Monocyte_CD16:ENSG00000163754 +3,149148069,Monocyte_CD16:ENSG00000163755 +3,44780089,Monocyte_CD16:ENSG00000163807 +3,45006116,Monocyte_CD16:ENSG00000163812 +3,46544285,Monocyte_CD16:ENSG00000163820 +3,46040684,Monocyte_CD16:ENSG00000163823 +3,46092473,Monocyte_CD16:ENSG00000163823 +3,46098007,Monocyte_CD16:ENSG00000163823 +3,46187129,Monocyte_CD16:ENSG00000163823 +3,46208857,Monocyte_CD16:ENSG00000163823 +3,122577987,Monocyte_CD16:ENSG00000163840 +3,125368834,Monocyte_CD16:ENSG00000163848 +3,139674080,Monocyte_CD16:ENSG00000163864 +3,127573490,Monocyte_CD16:ENSG00000163870 +3,128630533,Monocyte_CD16:ENSG00000163902 +3,128677640,Monocyte_CD16:ENSG00000163902 +3,53231565,Monocyte_CD16:ENSG00000163931 +3,53252916,Monocyte_CD16:ENSG00000163931 +3,53502559,Monocyte_CD16:ENSG00000163931 +3,53192981,Monocyte_CD16:ENSG00000163932 +3,53077688,Monocyte_CD16:ENSG00000163935 +3,52273153,Monocyte_CD16:ENSG00000163938 +3,56729200,Monocyte_CD16:ENSG00000163947 +3,56757213,Monocyte_CD16:ENSG00000163947 +3,196503920,Monocyte_CD16:ENSG00000163961 +3,196707493,Monocyte_CD16:ENSG00000163964 +3,197103084,Monocyte_CD16:ENSG00000163975 +3,197139804,Monocyte_CD16:ENSG00000163975 +3,48325591,Monocyte_CD16:ENSG00000164048 +3,48467186,Monocyte_CD16:ENSG00000164054 +3,49794830,Monocyte_CD16:ENSG00000164062 +3,52239405,Monocyte_CD16:ENSG00000164091 +3,36924576,Monocyte_CD16:ENSG00000168016 +3,39381516,Monocyte_CD16:ENSG00000168028 +3,39407129,Monocyte_CD16:ENSG00000168028 +3,39438110,Monocyte_CD16:ENSG00000168028 +3,41950751,Monocyte_CD16:ENSG00000168038 +3,52541815,Monocyte_CD16:ENSG00000168268 +3,52541815,Monocyte_CD16:ENSG00000168273 +3,58392161,Monocyte_CD16:ENSG00000168291 +3,58425361,Monocyte_CD16:ENSG00000168297 +3,39204651,Monocyte_CD16:ENSG00000168329 +3,39230090,Monocyte_CD16:ENSG00000168329 +3,39246552,Monocyte_CD16:ENSG00000168329 +3,39248603,Monocyte_CD16:ENSG00000168329 +3,39255589,Monocyte_CD16:ENSG00000168329 +3,99700106,Monocyte_CD16:ENSG00000168386 +3,158096954,Monocyte_CD16:ENSG00000168779 +3,158634717,Monocyte_CD16:ENSG00000168827 +3,136867921,Monocyte_CD16:ENSG00000168917 +3,122754584,Monocyte_CD16:ENSG00000169087 +3,122759194,Monocyte_CD16:ENSG00000169087 +3,151384664,Monocyte_CD16:ENSG00000169313 +3,155820419,Monocyte_CD16:ENSG00000169359 +3,152828888,Monocyte_CD16:ENSG00000169860 +3,152964543,Monocyte_CD16:ENSG00000169860 +3,105112410,Monocyte_CD16:ENSG00000170017 +3,105505303,Monocyte_CD16:ENSG00000170017 +3,33839082,Monocyte_CD16:ENSG00000170248 +3,33041420,Monocyte_CD16:ENSG00000170266 +3,4361853,Monocyte_CD16:ENSG00000170364 +3,71780091,Monocyte_CD16:ENSG00000170837 +3,14058672,Monocyte_CD16:ENSG00000170876 +3,179348516,Monocyte_CD16:ENSG00000171109 +3,179265081,Monocyte_CD16:ENSG00000171121 +3,9785766,Monocyte_CD16:ENSG00000171148 +3,48312136,Monocyte_CD16:ENSG00000172113 +3,67376174,Monocyte_CD16:ENSG00000172340 +3,67407957,Monocyte_CD16:ENSG00000172340 +3,67652175,Monocyte_CD16:ENSG00000172340 +3,67683711,Monocyte_CD16:ENSG00000172340 +3,183501868,Monocyte_CD16:ENSG00000172578 +3,179023674,Monocyte_CD16:ENSG00000172667 +3,122569467,Monocyte_CD16:ENSG00000173193 +3,122680815,Monocyte_CD16:ENSG00000173193 +3,122721218,Monocyte_CD16:ENSG00000173193 +3,122799487,Monocyte_CD16:ENSG00000173193 +3,122902798,Monocyte_CD16:ENSG00000173193 +3,122576388,Monocyte_CD16:ENSG00000173200 +3,122646823,Monocyte_CD16:ENSG00000173200 +3,121628254,Monocyte_CD16:ENSG00000173226 +3,121644833,Monocyte_CD16:ENSG00000173226 +3,121843457,Monocyte_CD16:ENSG00000173226 +3,121688880,Monocyte_CD16:ENSG00000173230 +3,49391230,Monocyte_CD16:ENSG00000173402 +3,125069716,Monocyte_CD16:ENSG00000173706 +3,125368834,Monocyte_CD16:ENSG00000173706 +3,170009142,Monocyte_CD16:ENSG00000173890 +3,196620382,Monocyte_CD16:ENSG00000174004 +3,196688484,Monocyte_CD16:ENSG00000174004 +3,23917701,Monocyte_CD16:ENSG00000174748 +3,23930089,Monocyte_CD16:ENSG00000174748 +3,23933984,Monocyte_CD16:ENSG00000174748 +3,57704429,Monocyte_CD16:ENSG00000174839 +3,158110533,Monocyte_CD16:ENSG00000174891 +3,158135133,Monocyte_CD16:ENSG00000174891 +3,143178674,Monocyte_CD16:ENSG00000175040 +3,143235202,Monocyte_CD16:ENSG00000175040 +3,143380439,Monocyte_CD16:ENSG00000175040 +3,143383459,Monocyte_CD16:ENSG00000175040 +3,142277684,Monocyte_CD16:ENSG00000175066 +3,184298924,Monocyte_CD16:ENSG00000175166 +3,183882320,Monocyte_CD16:ENSG00000175193 +3,49823849,Monocyte_CD16:ENSG00000176095 +3,119804167,Monocyte_CD16:ENSG00000176142 +3,183212683,Monocyte_CD16:ENSG00000176597 +3,195750217,Monocyte_CD16:ENSG00000176945 +3,141402972,Monocyte_CD16:ENSG00000177311 +3,184706826,Monocyte_CD16:ENSG00000177383 +3,48998452,Monocyte_CD16:ENSG00000178252 +3,49072152,Monocyte_CD16:ENSG00000178252 +3,121644833,Monocyte_CD16:ENSG00000180353 +3,121646688,Monocyte_CD16:ENSG00000180353 +3,196767831,Monocyte_CD16:ENSG00000180370 +3,196828572,Monocyte_CD16:ENSG00000180370 +3,56673433,Monocyte_CD16:ENSG00000180376 +3,56734346,Monocyte_CD16:ENSG00000180376 +3,192914703,Monocyte_CD16:ENSG00000180611 +3,126524576,Monocyte_CD16:ENSG00000180767 +3,126548333,Monocyte_CD16:ENSG00000180767 +3,153247747,Monocyte_CD16:ENSG00000181467 +3,151327507,Monocyte_CD16:ENSG00000181631 +3,115097031,Monocyte_CD16:ENSG00000181722 +3,143849312,Monocyte_CD16:ENSG00000181804 +3,23268971,Monocyte_CD16:ENSG00000182247 +3,197950221,Monocyte_CD16:ENSG00000182899 +3,134489325,Monocyte_CD16:ENSG00000182923 +3,32663432,Monocyte_CD16:ENSG00000182973 +3,99883243,Monocyte_CD16:ENSG00000184220 +3,194685159,Monocyte_CD16:ENSG00000185112 +3,194863646,Monocyte_CD16:ENSG00000185112 +3,49386804,Monocyte_CD16:ENSG00000185909 +3,160449406,Monocyte_CD16:ENSG00000186432 +3,44721338,Monocyte_CD16:ENSG00000186446 +3,44482142,Monocyte_CD16:ENSG00000186448 +3,50295266,Monocyte_CD16:ENSG00000186792 +3,37997491,Monocyte_CD16:ENSG00000187091 +3,69855098,Monocyte_CD16:ENSG00000187098 +3,28241610,Monocyte_CD16:ENSG00000187118 +3,146541776,Monocyte_CD16:ENSG00000188313 +3,40371731,Monocyte_CD16:ENSG00000188846 +3,40457354,Monocyte_CD16:ENSG00000188846 +3,40457413,Monocyte_CD16:ENSG00000188846 +3,44721338,Monocyte_CD16:ENSG00000196653 +3,108126706,Monocyte_CD16:ENSG00000196776 +3,122412930,Monocyte_CD16:ENSG00000196981 +3,11279938,Monocyte_CD16:ENSG00000197548 +3,131413061,Monocyte_CD16:ENSG00000198585 +3,131419727,Monocyte_CD16:ENSG00000198585 +3,151880081,Monocyte_CD16:ENSG00000198829 +3,193671601,Monocyte_CD16:ENSG00000198836 +3,150586481,Monocyte_CD16:ENSG00000198843 +3,108522340,Monocyte_CD16:ENSG00000198919 +3,15427494,Monocyte_CD16:ENSG00000206562 +3,9388058,Monocyte_CD16:ENSG00000206573 +3,45689445,Monocyte_CD16:ENSG00000211456 +3,196318023,Monocyte_CD16:ENSG00000213123 +3,160449406,Monocyte_CD16:ENSG00000213186 +3,52830677,Monocyte_CD16:ENSG00000213533 +3,52893212,Monocyte_CD16:ENSG00000213533 +3,48998452,Monocyte_CD16:ENSG00000213672 +3,9811078,Monocyte_CD16:ENSG00000214021 +3,102903052,Monocyte_CD16:ENSG00000214407 +3,172595478,Monocyte_CD16:ENSG00000223387 +3,40457354,Monocyte_CD16:ENSG00000223797 +3,15253651,Monocyte_CD16:ENSG00000224660 +3,42775379,Monocyte_CD16:ENSG00000225611 +3,14945736,Monocyte_CD16:ENSG00000225733 +3,14946553,Monocyte_CD16:ENSG00000225733 +3,75744075,Monocyte_CD16:ENSG00000227124 +3,195628430,Monocyte_CD16:ENSG00000229178 +3,195934218,Monocyte_CD16:ENSG00000229178 +3,45674196,Monocyte_CD16:ENSG00000230530 +3,194573780,Monocyte_CD16:ENSG00000231770 +3,42500395,Monocyte_CD16:ENSG00000232354 +3,42520855,Monocyte_CD16:ENSG00000232354 +3,188859904,Monocyte_CD16:ENSG00000234076 +3,136396712,Monocyte_CD16:ENSG00000239213 +3,150707915,Monocyte_CD16:ENSG00000240137 +3,10282120,Monocyte_CD16:ENSG00000240288 +3,156816792,Monocyte_CD16:ENSG00000240875 +3,72027247,Monocyte_CD16:ENSG00000241163 +3,72082303,Monocyte_CD16:ENSG00000241163 +3,72099389,Monocyte_CD16:ENSG00000241163 +3,72100066,Monocyte_CD16:ENSG00000241163 +3,72112866,Monocyte_CD16:ENSG00000241163 +3,101891345,Monocyte_CD16:ENSG00000241280 +3,9793095,Monocyte_CD16:ENSG00000241553 +3,9795155,Monocyte_CD16:ENSG00000241553 +3,9825941,Monocyte_CD16:ENSG00000241553 +3,149282697,Monocyte_CD16:ENSG00000242791 +3,158496052,Monocyte_CD16:ENSG00000243150 +3,157175015,Monocyte_CD16:ENSG00000243176 +3,156672158,Monocyte_CD16:ENSG00000243926 +3,156674346,Monocyte_CD16:ENSG00000243926 +3,186106215,Monocyte_CD16:ENSG00000244405 +3,42775379,Monocyte_CD16:ENSG00000244607 +3,52443850,Monocyte_CD16:ENSG00000247596 +3,53190270,Monocyte_CD16:ENSG00000247596 +3,10115684,Monocyte_CD16:ENSG00000254999 +3,73108137,Monocyte_CD16:ENSG00000255423 +3,101692131,Monocyte_CD16:ENSG00000256628 +3,160801930,Monocyte_CD16:ENSG00000260572 +3,143075140,Monocyte_CD16:ENSG00000268129 +3,33839082,Monocyte_CD16:ENSG00000271643 +3,53872486,Monocyte_CD16:ENSG00000271976 +3,57570427,Monocyte_CD16:ENSG00000272146 +3,75369447,Monocyte_CD16:ENSG00000272690 +3,122467105,Monocyte_CD16:ENSG00000272758 +3,156551502,Monocyte_CD16:ENSG00000272990 +3,122833672,Monocyte_CD16:ENSG00000273033 +3,72083124,Monocyte_CD16:ENSG00000276471 +3,63911539,Monocyte_CD16:ENSG00000280620 +3,40317514,Monocyte_CD16:ENSG00000280739 +3,39146860,Monocyte_CD16:ENSG00000284669 +3,63837338,Monocyte_CD16:ENSG00000285399 +3,187044193,Monocyte_CD16:ENSG00000285938 +3,4361853,Monocyte_CD16:ENSG00000286579 +3,101692131,Monocyte_CD16:ENSG00000286699 +3,167868779,Monocyte_CD16:ENSG00000286994 +3,102045172,Monocyte_CD16:ENSG00000287682 +20,50860612,Monocyte_CD16:ENSG00000000419 +20,56413016,Monocyte_CD16:ENSG00000022277 +20,44960400,Monocyte_CD16:ENSG00000025772 +20,51627172,Monocyte_CD16:ENSG00000054793 +20,45892598,Monocyte_CD16:ENSG00000064601 +20,45895460,Monocyte_CD16:ENSG00000064601 +20,45958547,Monocyte_CD16:ENSG00000064601 +20,37495316,Monocyte_CD16:ENSG00000080839 +20,58951162,Monocyte_CD16:ENSG00000087460 +20,56413016,Monocyte_CD16:ENSG00000087589 +20,35115804,Monocyte_CD16:ENSG00000088298 +20,1383824,Monocyte_CD16:ENSG00000088832 +20,1391742,Monocyte_CD16:ENSG00000088832 +20,1491068,Monocyte_CD16:ENSG00000088833 +20,3847503,Monocyte_CD16:ENSG00000088888 +20,21117636,Monocyte_CD16:ENSG00000088970 +20,17928848,Monocyte_CD16:ENSG00000089006 +20,17988228,Monocyte_CD16:ENSG00000089006 +20,13805941,Monocyte_CD16:ENSG00000089048 +20,5096768,Monocyte_CD16:ENSG00000089063 +20,18445795,Monocyte_CD16:ENSG00000089091 +20,16572462,Monocyte_CD16:ENSG00000089177 +20,16577615,Monocyte_CD16:ENSG00000089177 +20,6078715,Monocyte_CD16:ENSG00000089199 +20,62823430,Monocyte_CD16:ENSG00000092758 +20,62830790,Monocyte_CD16:ENSG00000092758 +20,45980060,Monocyte_CD16:ENSG00000100979 +20,35158342,Monocyte_CD16:ENSG00000100991 +20,25245556,Monocyte_CD16:ENSG00000100994 +20,25352884,Monocyte_CD16:ENSG00000100997 +20,46118447,Monocyte_CD16:ENSG00000101017 +20,35324568,Monocyte_CD16:ENSG00000101019 +20,43611025,Monocyte_CD16:ENSG00000101052 +20,36605789,Monocyte_CD16:ENSG00000101084 +20,51525285,Monocyte_CD16:ENSG00000101096 +20,50878921,Monocyte_CD16:ENSG00000101126 +20,56413016,Monocyte_CD16:ENSG00000101138 +20,58989640,Monocyte_CD16:ENSG00000101158 +20,58986361,Monocyte_CD16:ENSG00000101160 +20,58989640,Monocyte_CD16:ENSG00000101160 +20,58995799,Monocyte_CD16:ENSG00000101160 +20,59007902,Monocyte_CD16:ENSG00000101160 +20,63992350,Monocyte_CD16:ENSG00000101161 +20,62201296,Monocyte_CD16:ENSG00000101181 +20,62143364,Monocyte_CD16:ENSG00000101182 +20,62954827,Monocyte_CD16:ENSG00000101194 +20,63236102,Monocyte_CD16:ENSG00000101197 +20,3753520,Monocyte_CD16:ENSG00000101220 +20,3762897,Monocyte_CD16:ENSG00000101220 +20,3765423,Monocyte_CD16:ENSG00000101220 +20,3777779,Monocyte_CD16:ENSG00000101224 +20,3807420,Monocyte_CD16:ENSG00000101224 +20,3808681,Monocyte_CD16:ENSG00000101224 +20,63731211,Monocyte_CD16:ENSG00000101246 +20,13805941,Monocyte_CD16:ENSG00000101247 +20,379418,Monocyte_CD16:ENSG00000101255 +20,4811031,Monocyte_CD16:ENSG00000101265 +20,4815175,Monocyte_CD16:ENSG00000101265 +20,476336,Monocyte_CD16:ENSG00000101266 +20,5161117,Monocyte_CD16:ENSG00000101290 +20,31492602,Monocyte_CD16:ENSG00000101294 +20,1610124,Monocyte_CD16:ENSG00000101307 +20,1616582,Monocyte_CD16:ENSG00000101307 +20,1621503,Monocyte_CD16:ENSG00000101307 +20,32056517,Monocyte_CD16:ENSG00000101336 +20,32362668,Monocyte_CD16:ENSG00000101337 +20,32143937,Monocyte_CD16:ENSG00000101346 +20,36942292,Monocyte_CD16:ENSG00000101347 +20,37281321,Monocyte_CD16:ENSG00000101347 +20,2652650,Monocyte_CD16:ENSG00000101361 +20,2663761,Monocyte_CD16:ENSG00000101361 +20,32816710,Monocyte_CD16:ENSG00000101367 +20,38265080,Monocyte_CD16:ENSG00000101413 +20,33775731,Monocyte_CD16:ENSG00000101421 +20,33785678,Monocyte_CD16:ENSG00000101421 +20,33821336,Monocyte_CD16:ENSG00000101421 +20,23600677,Monocyte_CD16:ENSG00000101439 +20,23632100,Monocyte_CD16:ENSG00000101439 +20,38758646,Monocyte_CD16:ENSG00000101442 +20,38811403,Monocyte_CD16:ENSG00000101445 +20,45793734,Monocyte_CD16:ENSG00000101457 +20,34764086,Monocyte_CD16:ENSG00000101460 +20,35428701,Monocyte_CD16:ENSG00000101460 +20,45833168,Monocyte_CD16:ENSG00000101473 +20,56413016,Monocyte_CD16:ENSG00000124098 +20,45798582,Monocyte_CD16:ENSG00000124104 +20,48634103,Monocyte_CD16:ENSG00000124126 +20,48761577,Monocyte_CD16:ENSG00000124126 +20,48879023,Monocyte_CD16:ENSG00000124126 +20,47727572,Monocyte_CD16:ENSG00000124151 +20,58423147,Monocyte_CD16:ENSG00000124164 +20,59028710,Monocyte_CD16:ENSG00000124172 +20,43464483,Monocyte_CD16:ENSG00000124193 +20,49273008,Monocyte_CD16:ENSG00000124201 +20,49061486,Monocyte_CD16:ENSG00000124207 +20,49943010,Monocyte_CD16:ENSG00000124226 +20,49106310,Monocyte_CD16:ENSG00000124228 +20,64084195,Monocyte_CD16:ENSG00000125510 +20,63731211,Monocyte_CD16:ENSG00000125520 +20,63521166,Monocyte_CD16:ENSG00000125534 +20,5688068,Monocyte_CD16:ENSG00000125772 +20,3901494,Monocyte_CD16:ENSG00000125779 +20,23077230,Monocyte_CD16:ENSG00000125810 +20,23112063,Monocyte_CD16:ENSG00000125810 +20,23123022,Monocyte_CD16:ENSG00000125810 +20,23405325,Monocyte_CD16:ENSG00000125812 +20,3808681,Monocyte_CD16:ENSG00000125817 +20,1087610,Monocyte_CD16:ENSG00000125818 +20,18495188,Monocyte_CD16:ENSG00000125821 +20,410381,Monocyte_CD16:ENSG00000125826 +20,8006737,Monocyte_CD16:ENSG00000125827 +20,8018995,Monocyte_CD16:ENSG00000125827 +20,8022397,Monocyte_CD16:ENSG00000125827 +20,2470765,Monocyte_CD16:ENSG00000125835 +20,2477142,Monocyte_CD16:ENSG00000125835 +20,3807420,Monocyte_CD16:ENSG00000125843 +20,17615510,Monocyte_CD16:ENSG00000125844 +20,17648517,Monocyte_CD16:ENSG00000125844 +20,10434849,Monocyte_CD16:ENSG00000125863 +20,17615510,Monocyte_CD16:ENSG00000125868 +20,17648517,Monocyte_CD16:ENSG00000125868 +20,17983217,Monocyte_CD16:ENSG00000125871 +20,3213247,Monocyte_CD16:ENSG00000125877 +20,3213332,Monocyte_CD16:ENSG00000125877 +20,830864,Monocyte_CD16:ENSG00000125898 +20,851698,Monocyte_CD16:ENSG00000125898 +20,1610124,Monocyte_CD16:ENSG00000125900 +20,35549038,Monocyte_CD16:ENSG00000125991 +20,35281932,Monocyte_CD16:ENSG00000126005 +20,63571161,Monocyte_CD16:ENSG00000130589 +20,36255034,Monocyte_CD16:ENSG00000131043 +20,35778613,Monocyte_CD16:ENSG00000131051 +20,18565955,Monocyte_CD16:ENSG00000132664 +20,19736196,Monocyte_CD16:ENSG00000132669 +20,37697542,Monocyte_CD16:ENSG00000132792 +20,57422097,Monocyte_CD16:ENSG00000132819 +20,44209910,Monocyte_CD16:ENSG00000132823 +20,44521668,Monocyte_CD16:ENSG00000132824 +20,25057595,Monocyte_CD16:ENSG00000154930 +20,49599029,Monocyte_CD16:ENSG00000158470 +20,49635442,Monocyte_CD16:ENSG00000158470 +20,44885569,Monocyte_CD16:ENSG00000166913 +20,44627160,Monocyte_CD16:ENSG00000168734 +20,35624405,Monocyte_CD16:ENSG00000171222 +20,64084195,Monocyte_CD16:ENSG00000171695 +20,64076174,Monocyte_CD16:ENSG00000171700 +20,64062966,Monocyte_CD16:ENSG00000171703 +20,62263043,Monocyte_CD16:ENSG00000171858 +20,62388438,Monocyte_CD16:ENSG00000171858 +20,4633840,Monocyte_CD16:ENSG00000171867 +20,4639273,Monocyte_CD16:ENSG00000171867 +20,4687183,Monocyte_CD16:ENSG00000171867 +20,53570298,Monocyte_CD16:ENSG00000171940 +20,53727198,Monocyte_CD16:ENSG00000171940 +20,5751065,Monocyte_CD16:ENSG00000171984 +20,5804428,Monocyte_CD16:ENSG00000171984 +20,5812923,Monocyte_CD16:ENSG00000171984 +20,50290430,Monocyte_CD16:ENSG00000172216 +20,50338887,Monocyte_CD16:ENSG00000172216 +20,49273008,Monocyte_CD16:ENSG00000177410 +20,49291983,Monocyte_CD16:ENSG00000177410 +20,49298853,Monocyte_CD16:ENSG00000177410 +20,23028007,Monocyte_CD16:ENSG00000178726 +20,23032920,Monocyte_CD16:ENSG00000178726 +20,23112063,Monocyte_CD16:ENSG00000178726 +20,61831498,Monocyte_CD16:ENSG00000179253 +20,33667427,Monocyte_CD16:ENSG00000182584 +20,8427897,Monocyte_CD16:ENSG00000182621 +20,1482244,Monocyte_CD16:ENSG00000196209 +20,1493759,Monocyte_CD16:ENSG00000196209 +20,50469580,Monocyte_CD16:ENSG00000196396 +20,50485125,Monocyte_CD16:ENSG00000196396 +20,47521640,Monocyte_CD16:ENSG00000196562 +20,47678084,Monocyte_CD16:ENSG00000196562 +20,47727572,Monocyte_CD16:ENSG00000196562 +20,47727603,Monocyte_CD16:ENSG00000196562 +20,47727777,Monocyte_CD16:ENSG00000196562 +20,47768731,Monocyte_CD16:ENSG00000196562 +20,38431106,Monocyte_CD16:ENSG00000196756 +20,38451515,Monocyte_CD16:ENSG00000196756 +20,37318938,Monocyte_CD16:ENSG00000197122 +20,32604555,Monocyte_CD16:ENSG00000197183 +20,63641058,Monocyte_CD16:ENSG00000197457 +20,53571073,Monocyte_CD16:ENSG00000197670 +20,1894078,Monocyte_CD16:ENSG00000198053 +20,1894139,Monocyte_CD16:ENSG00000198053 +20,3217022,Monocyte_CD16:ENSG00000198171 +20,63915596,Monocyte_CD16:ENSG00000198276 +20,38139907,Monocyte_CD16:ENSG00000198959 +20,38172419,Monocyte_CD16:ENSG00000198959 +20,64257449,Monocyte_CD16:ENSG00000203880 +20,50278177,Monocyte_CD16:ENSG00000203999 +20,45364899,Monocyte_CD16:ENSG00000204070 +20,40494142,Monocyte_CD16:ENSG00000204103 +20,40575142,Monocyte_CD16:ENSG00000204103 +20,40583874,Monocyte_CD16:ENSG00000204103 +20,5504148,Monocyte_CD16:ENSG00000205181 +20,30296133,Monocyte_CD16:ENSG00000205611 +20,31289351,Monocyte_CD16:ENSG00000205611 +20,35624405,Monocyte_CD16:ENSG00000214078 +20,35626801,Monocyte_CD16:ENSG00000214078 +20,2865643,Monocyte_CD16:ENSG00000215305 +20,58703394,Monocyte_CD16:ENSG00000215440 +20,44211379,Monocyte_CD16:ENSG00000223891 +20,50276405,Monocyte_CD16:ENSG00000224397 +20,50278177,Monocyte_CD16:ENSG00000224397 +20,50278382,Monocyte_CD16:ENSG00000224397 +20,50338887,Monocyte_CD16:ENSG00000224397 +20,46487761,Monocyte_CD16:ENSG00000224565 +20,38414850,Monocyte_CD16:ENSG00000224635 +20,23917134,Monocyte_CD16:ENSG00000225056 +20,60138799,Monocyte_CD16:ENSG00000228340 +20,3988023,Monocyte_CD16:ENSG00000229539 +20,36009661,Monocyte_CD16:ENSG00000230155 +20,33806390,Monocyte_CD16:ENSG00000230753 +20,18567303,Monocyte_CD16:ENSG00000232388 +20,23405325,Monocyte_CD16:ENSG00000232645 +20,34443471,Monocyte_CD16:ENSG00000236388 +20,35283858,Monocyte_CD16:ENSG00000242372 +20,35292343,Monocyte_CD16:ENSG00000242372 +20,63678201,Monocyte_CD16:ENSG00000243509 +20,63678201,Monocyte_CD16:ENSG00000258366 +20,32706978,Monocyte_CD16:ENSG00000260257 +20,651860,Monocyte_CD16:ENSG00000271303 +20,653324,Monocyte_CD16:ENSG00000271303 +20,653378,Monocyte_CD16:ENSG00000271303 +20,62386309,Monocyte_CD16:ENSG00000273619 +20,62609116,Monocyte_CD16:ENSG00000277496 +20,44885569,Monocyte_CD16:ENSG00000286100 +20,2215639,Monocyte_CD16:ENSG00000287561 +20,26263359,Monocyte_CD16:ENSG00000287569 +2,201793340,Monocyte_CD16:ENSG00000003393 +2,201246144,Monocyte_CD16:ENSG00000003400 +2,201139094,Monocyte_CD16:ENSG00000003402 +2,75709809,Monocyte_CD16:ENSG00000005436 +2,241356233,Monocyte_CD16:ENSG00000006607 +2,37090314,Monocyte_CD16:ENSG00000008869 +2,31195649,Monocyte_CD16:ENSG00000013016 +2,218363885,Monocyte_CD16:ENSG00000018280 +2,218387907,Monocyte_CD16:ENSG00000018280 +2,177349806,Monocyte_CD16:ENSG00000018510 +2,118954506,Monocyte_CD16:ENSG00000019169 +2,3377790,Monocyte_CD16:ENSG00000032389 +2,84853127,Monocyte_CD16:ENSG00000034510 +2,84882448,Monocyte_CD16:ENSG00000034510 +2,84906092,Monocyte_CD16:ENSG00000034510 +2,70107315,Monocyte_CD16:ENSG00000035141 +2,98532483,Monocyte_CD16:ENSG00000040933 +2,85328154,Monocyte_CD16:ENSG00000042445 +2,85375941,Monocyte_CD16:ENSG00000042493 +2,85399598,Monocyte_CD16:ENSG00000042493 +2,85407017,Monocyte_CD16:ENSG00000042493 +2,85407215,Monocyte_CD16:ENSG00000042493 +2,33689542,Monocyte_CD16:ENSG00000049323 +2,159910991,Monocyte_CD16:ENSG00000054219 +2,160024282,Monocyte_CD16:ENSG00000054219 +2,202370416,Monocyte_CD16:ENSG00000055044 +2,69811660,Monocyte_CD16:ENSG00000059728 +2,201319442,Monocyte_CD16:ENSG00000064012 +2,189784079,Monocyte_CD16:ENSG00000064933 +2,187465567,Monocyte_CD16:ENSG00000064989 +2,196981734,Monocyte_CD16:ENSG00000065413 +2,186563025,Monocyte_CD16:ENSG00000065548 +2,73827375,Monocyte_CD16:ENSG00000065911 +2,230405450,Monocyte_CD16:ENSG00000067066 +2,230473441,Monocyte_CD16:ENSG00000067066 +2,239223512,Monocyte_CD16:ENSG00000068024 +2,86101060,Monocyte_CD16:ENSG00000068654 +2,45541067,Monocyte_CD16:ENSG00000068784 +2,53969635,Monocyte_CD16:ENSG00000068878 +2,105744689,Monocyte_CD16:ENSG00000071051 +2,101466471,Monocyte_CD16:ENSG00000071054 +2,171522147,Monocyte_CD16:ENSG00000071967 +2,171522383,Monocyte_CD16:ENSG00000071967 +2,169070056,Monocyte_CD16:ENSG00000073737 +2,71331977,Monocyte_CD16:ENSG00000075292 +2,70825032,Monocyte_CD16:ENSG00000075340 +2,143131735,Monocyte_CD16:ENSG00000075884 +2,135832042,Monocyte_CD16:ENSG00000076003 +2,182784973,Monocyte_CD16:ENSG00000077232 +2,171778204,Monocyte_CD16:ENSG00000077380 +2,216152302,Monocyte_CD16:ENSG00000079246 +2,15591481,Monocyte_CD16:ENSG00000079785 +2,151364258,Monocyte_CD16:ENSG00000080345 +2,196141920,Monocyte_CD16:ENSG00000081320 +2,196263643,Monocyte_CD16:ENSG00000081320 +2,200757442,Monocyte_CD16:ENSG00000082153 +2,96653888,Monocyte_CD16:ENSG00000084090 +2,26010797,Monocyte_CD16:ENSG00000084733 +2,26132364,Monocyte_CD16:ENSG00000084733 +2,26246347,Monocyte_CD16:ENSG00000084754 +2,55269225,Monocyte_CD16:ENSG00000085760 +2,117832335,Monocyte_CD16:ENSG00000088205 +2,32264782,Monocyte_CD16:ENSG00000091106 +2,173044931,Monocyte_CD16:ENSG00000091436 +2,47403074,Monocyte_CD16:ENSG00000095002 +2,206097673,Monocyte_CD16:ENSG00000114942 +2,73827375,Monocyte_CD16:ENSG00000114956 +2,73925387,Monocyte_CD16:ENSG00000114956 +2,73948197,Monocyte_CD16:ENSG00000114956 +2,74159819,Monocyte_CD16:ENSG00000114978 +2,231448257,Monocyte_CD16:ENSG00000115053 +2,231469967,Monocyte_CD16:ENSG00000115053 +2,113770773,Monocyte_CD16:ENSG00000115084 +2,113972369,Monocyte_CD16:ENSG00000115091 +2,119263743,Monocyte_CD16:ENSG00000115107 +2,119290627,Monocyte_CD16:ENSG00000115107 +2,121291805,Monocyte_CD16:ENSG00000115112 +2,24104988,Monocyte_CD16:ENSG00000115129 +2,25158279,Monocyte_CD16:ENSG00000115138 +2,25170853,Monocyte_CD16:ENSG00000115138 +2,25170885,Monocyte_CD16:ENSG00000115138 +2,152182433,Monocyte_CD16:ENSG00000115145 +2,156464828,Monocyte_CD16:ENSG00000115159 +2,27428508,Monocyte_CD16:ENSG00000115211 +2,27454824,Monocyte_CD16:ENSG00000115216 +2,181282900,Monocyte_CD16:ENSG00000115232 +2,181459039,Monocyte_CD16:ENSG00000115232 +2,27454824,Monocyte_CD16:ENSG00000115241 +2,162238769,Monocyte_CD16:ENSG00000115267 +2,162277580,Monocyte_CD16:ENSG00000115267 +2,162359145,Monocyte_CD16:ENSG00000115271 +2,28954400,Monocyte_CD16:ENSG00000115295 +2,54560455,Monocyte_CD16:ENSG00000115306 +2,74476104,Monocyte_CD16:ENSG00000115307 +2,55077322,Monocyte_CD16:ENSG00000115310 +2,55158440,Monocyte_CD16:ENSG00000115310 +2,74884308,Monocyte_CD16:ENSG00000115350 +2,74979847,Monocyte_CD16:ENSG00000115350 +2,55384558,Monocyte_CD16:ENSG00000115355 +2,55409706,Monocyte_CD16:ENSG00000115355 +2,58241434,Monocyte_CD16:ENSG00000115392 +2,191020691,Monocyte_CD16:ENSG00000115415 +2,190967766,Monocyte_CD16:ENSG00000115419 +2,98621154,Monocyte_CD16:ENSG00000115446 +2,216619501,Monocyte_CD16:ENSG00000115457 +2,61876192,Monocyte_CD16:ENSG00000115484 +2,197530375,Monocyte_CD16:ENSG00000115524 +2,85869363,Monocyte_CD16:ENSG00000115525 +2,100524175,Monocyte_CD16:ENSG00000115539 +2,197408623,Monocyte_CD16:ENSG00000115541 +2,86592286,Monocyte_CD16:ENSG00000115561 +2,218173555,Monocyte_CD16:ENSG00000115596 +2,218707000,Monocyte_CD16:ENSG00000115596 +2,101424580,Monocyte_CD16:ENSG00000115604 +2,219174550,Monocyte_CD16:ENSG00000115649 +2,242044454,Monocyte_CD16:ENSG00000115694 +2,8179121,Monocyte_CD16:ENSG00000115738 +2,8303729,Monocyte_CD16:ENSG00000115738 +2,8645073,Monocyte_CD16:ENSG00000115738 +2,9843557,Monocyte_CD16:ENSG00000115750 +2,10342783,Monocyte_CD16:ENSG00000115756 +2,10399113,Monocyte_CD16:ENSG00000115756 +2,131283522,Monocyte_CD16:ENSG00000115762 +2,36872196,Monocyte_CD16:ENSG00000115808 +2,37231568,Monocyte_CD16:ENSG00000115816 +2,37259384,Monocyte_CD16:ENSG00000115825 +2,37325971,Monocyte_CD16:ENSG00000115825 +2,135934983,Monocyte_CD16:ENSG00000115866 +2,198042419,Monocyte_CD16:ENSG00000115896 +2,198106899,Monocyte_CD16:ENSG00000115896 +2,64918285,Monocyte_CD16:ENSG00000115902 +2,64947733,Monocyte_CD16:ENSG00000115902 +2,64987606,Monocyte_CD16:ENSG00000115902 +2,38985424,Monocyte_CD16:ENSG00000115904 +2,142911997,Monocyte_CD16:ENSG00000115919 +2,42350030,Monocyte_CD16:ENSG00000115944 +2,68268331,Monocyte_CD16:ENSG00000115946 +2,68363341,Monocyte_CD16:ENSG00000115956 +2,68381133,Monocyte_CD16:ENSG00000115956 +2,68405080,Monocyte_CD16:ENSG00000115956 +2,149886479,Monocyte_CD16:ENSG00000115963 +2,47795621,Monocyte_CD16:ENSG00000116062 +2,73386213,Monocyte_CD16:ENSG00000116127 +2,207166747,Monocyte_CD16:ENSG00000118263 +2,85577990,Monocyte_CD16:ENSG00000118640 +2,20683456,Monocyte_CD16:ENSG00000118961 +2,203926546,Monocyte_CD16:ENSG00000119004 +2,201055337,Monocyte_CD16:ENSG00000119013 +2,196799713,Monocyte_CD16:ENSG00000119041 +2,9368203,Monocyte_CD16:ENSG00000119185 +2,9388407,Monocyte_CD16:ENSG00000119185 +2,9407999,Monocyte_CD16:ENSG00000119185 +2,9420800,Monocyte_CD16:ENSG00000119185 +2,9428060,Monocyte_CD16:ENSG00000119185 +2,30225237,Monocyte_CD16:ENSG00000119801 +2,32299843,Monocyte_CD16:ENSG00000119820 +2,60434581,Monocyte_CD16:ENSG00000119866 +2,46590505,Monocyte_CD16:ENSG00000119878 +2,136126253,Monocyte_CD16:ENSG00000121966 +2,233844362,Monocyte_CD16:ENSG00000123485 +2,151261757,Monocyte_CD16:ENSG00000123609 +2,151364258,Monocyte_CD16:ENSG00000123610 +2,159630756,Monocyte_CD16:ENSG00000123636 +2,222861606,Monocyte_CD16:ENSG00000123983 +2,224379066,Monocyte_CD16:ENSG00000124019 +2,73827375,Monocyte_CD16:ENSG00000124356 +2,71065392,Monocyte_CD16:ENSG00000124357 +2,71071208,Monocyte_CD16:ENSG00000124357 +2,71331977,Monocyte_CD16:ENSG00000124370 +2,69906278,Monocyte_CD16:ENSG00000124380 +2,237677999,Monocyte_CD16:ENSG00000124831 +2,237739501,Monocyte_CD16:ENSG00000124831 +2,112869657,Monocyte_CD16:ENSG00000125538 +2,87075937,Monocyte_CD16:ENSG00000125551 +2,87148176,Monocyte_CD16:ENSG00000125551 +2,112588935,Monocyte_CD16:ENSG00000125611 +2,113235767,Monocyte_CD16:ENSG00000125618 +2,118138152,Monocyte_CD16:ENSG00000125629 +2,117923680,Monocyte_CD16:ENSG00000125633 +2,113185893,Monocyte_CD16:ENSG00000125637 +2,219250304,Monocyte_CD16:ENSG00000127824 +2,218259499,Monocyte_CD16:ENSG00000127837 +2,218324115,Monocyte_CD16:ENSG00000127838 +2,171871982,Monocyte_CD16:ENSG00000128708 +2,171894406,Monocyte_CD16:ENSG00000128708 +2,240024509,Monocyte_CD16:ENSG00000130414 +2,240027371,Monocyte_CD16:ENSG00000130414 +2,86195908,Monocyte_CD16:ENSG00000132305 +2,86195693,Monocyte_CD16:ENSG00000132313 +2,9577979,Monocyte_CD16:ENSG00000134308 +2,11172055,Monocyte_CD16:ENSG00000134318 +2,11682230,Monocyte_CD16:ENSG00000134324 +2,11797032,Monocyte_CD16:ENSG00000134324 +2,9388407,Monocyte_CD16:ENSG00000134330 +2,73237820,Monocyte_CD16:ENSG00000135617 +2,73242472,Monocyte_CD16:ENSG00000135624 +2,73561710,Monocyte_CD16:ENSG00000135632 +2,71451402,Monocyte_CD16:ENSG00000135636 +2,71468153,Monocyte_CD16:ENSG00000135636 +2,230169933,Monocyte_CD16:ENSG00000135899 +2,224884440,Monocyte_CD16:ENSG00000135905 +2,218733318,Monocyte_CD16:ENSG00000135929 +2,232553222,Monocyte_CD16:ENSG00000135930 +2,230643674,Monocyte_CD16:ENSG00000135932 +2,230820490,Monocyte_CD16:ENSG00000135932 +2,97921451,Monocyte_CD16:ENSG00000135940 +2,99144023,Monocyte_CD16:ENSG00000135951 +2,96266311,Monocyte_CD16:ENSG00000135956 +2,108432725,Monocyte_CD16:ENSG00000135968 +2,97003295,Monocyte_CD16:ENSG00000135976 +2,159648916,Monocyte_CD16:ENSG00000136536 +2,113458351,Monocyte_CD16:ENSG00000136682 +2,113390940,Monocyte_CD16:ENSG00000136689 +2,130342923,Monocyte_CD16:ENSG00000136710 +2,127094547,Monocyte_CD16:ENSG00000136717 +2,127111023,Monocyte_CD16:ENSG00000136717 +2,130342923,Monocyte_CD16:ENSG00000136718 +2,126656040,Monocyte_CD16:ENSG00000136732 +2,126800904,Monocyte_CD16:ENSG00000136732 +2,26190499,Monocyte_CD16:ENSG00000138029 +2,27092384,Monocyte_CD16:ENSG00000138030 +2,43765390,Monocyte_CD16:ENSG00000138036 +2,39833085,Monocyte_CD16:ENSG00000138050 +2,38077346,Monocyte_CD16:ENSG00000138061 +2,38115424,Monocyte_CD16:ENSG00000138061 +2,38132974,Monocyte_CD16:ENSG00000138061 +2,38146116,Monocyte_CD16:ENSG00000138061 +2,38149689,Monocyte_CD16:ENSG00000138061 +2,65254982,Monocyte_CD16:ENSG00000138071 +2,65262542,Monocyte_CD16:ENSG00000138071 +2,27212506,Monocyte_CD16:ENSG00000138085 +2,27229218,Monocyte_CD16:ENSG00000138085 +2,43895934,Monocyte_CD16:ENSG00000138095 +2,215312057,Monocyte_CD16:ENSG00000138363 +2,215312084,Monocyte_CD16:ENSG00000138363 +2,214808940,Monocyte_CD16:ENSG00000138376 +2,189661498,Monocyte_CD16:ENSG00000138381 +2,169822080,Monocyte_CD16:ENSG00000138385 +2,169706225,Monocyte_CD16:ENSG00000138398 +2,169573878,Monocyte_CD16:ENSG00000138399 +2,196246287,Monocyte_CD16:ENSG00000138411 +2,174071453,Monocyte_CD16:ENSG00000138430 +2,202630335,Monocyte_CD16:ENSG00000138439 +2,203897604,Monocyte_CD16:ENSG00000138443 +2,272051,Monocyte_CD16:ENSG00000143727 +2,10790777,Monocyte_CD16:ENSG00000143870 +2,20425391,Monocyte_CD16:ENSG00000143878 +2,38728116,Monocyte_CD16:ENSG00000143889 +2,42102189,Monocyte_CD16:ENSG00000143924 +2,42345484,Monocyte_CD16:ENSG00000143924 +2,47070659,Monocyte_CD16:ENSG00000143933 +2,47082174,Monocyte_CD16:ENSG00000143933 +2,47086379,Monocyte_CD16:ENSG00000143933 +2,47296270,Monocyte_CD16:ENSG00000143933 +2,55232237,Monocyte_CD16:ENSG00000143947 +2,55232359,Monocyte_CD16:ENSG00000143947 +2,96271605,Monocyte_CD16:ENSG00000144021 +2,95235603,Monocyte_CD16:ENSG00000144026 +2,73732833,Monocyte_CD16:ENSG00000144034 +2,71756502,Monocyte_CD16:ENSG00000144043 +2,88149930,Monocyte_CD16:ENSG00000144115 +2,88152953,Monocyte_CD16:ENSG00000144115 +2,120281816,Monocyte_CD16:ENSG00000144118 +2,119676827,Monocyte_CD16:ENSG00000144120 +2,112722168,Monocyte_CD16:ENSG00000144130 +2,112725202,Monocyte_CD16:ENSG00000144130 +2,112708189,Monocyte_CD16:ENSG00000144136 +2,99144023,Monocyte_CD16:ENSG00000144182 +2,99812774,Monocyte_CD16:ENSG00000144218 +2,100148543,Monocyte_CD16:ENSG00000144218 +2,158113913,Monocyte_CD16:ENSG00000144283 +2,176049655,Monocyte_CD16:ENSG00000144320 +2,197530375,Monocyte_CD16:ENSG00000144381 +2,236555942,Monocyte_CD16:ENSG00000144476 +2,238229618,Monocyte_CD16:ENSG00000144485 +2,238850384,Monocyte_CD16:ENSG00000144485 +2,219183999,Monocyte_CD16:ENSG00000144567 +2,137974195,Monocyte_CD16:ENSG00000150540 +2,138035758,Monocyte_CD16:ENSG00000150540 +2,138056849,Monocyte_CD16:ENSG00000150540 +2,676782,Monocyte_CD16:ENSG00000151353 +2,190408331,Monocyte_CD16:ENSG00000151690 +2,190429999,Monocyte_CD16:ENSG00000151690 +2,15429037,Monocyte_CD16:ENSG00000151779 +2,130181715,Monocyte_CD16:ENSG00000152082 +2,37090314,Monocyte_CD16:ENSG00000152133 +2,172514093,Monocyte_CD16:ENSG00000152256 +2,172650244,Monocyte_CD16:ENSG00000152256 +2,85310836,Monocyte_CD16:ENSG00000152291 +2,85327762,Monocyte_CD16:ENSG00000152291 +2,43128380,Monocyte_CD16:ENSG00000152518 +2,43135131,Monocyte_CD16:ENSG00000152518 +2,43157307,Monocyte_CD16:ENSG00000152518 +2,43289007,Monocyte_CD16:ENSG00000152518 +2,43577794,Monocyte_CD16:ENSG00000152518 +2,70825032,Monocyte_CD16:ENSG00000152672 +2,110994583,Monocyte_CD16:ENSG00000153094 +2,111941407,Monocyte_CD16:ENSG00000153208 +2,111963567,Monocyte_CD16:ENSG00000153208 +2,112028198,Monocyte_CD16:ENSG00000153208 +2,112056315,Monocyte_CD16:ENSG00000153214 +2,112058557,Monocyte_CD16:ENSG00000153214 +2,160116491,Monocyte_CD16:ENSG00000153250 +2,86763192,Monocyte_CD16:ENSG00000153561 +2,229290277,Monocyte_CD16:ENSG00000153823 +2,229346530,Monocyte_CD16:ENSG00000153823 +2,229370035,Monocyte_CD16:ENSG00000153823 +2,229389679,Monocyte_CD16:ENSG00000153823 +2,229407064,Monocyte_CD16:ENSG00000153823 +2,229869815,Monocyte_CD16:ENSG00000153827 +2,175171117,Monocyte_CD16:ENSG00000154518 +2,119350654,Monocyte_CD16:ENSG00000155368 +2,121752488,Monocyte_CD16:ENSG00000155438 +2,152623385,Monocyte_CD16:ENSG00000157827 +2,152719312,Monocyte_CD16:ENSG00000157827 +2,95831593,Monocyte_CD16:ENSG00000158050 +2,99184859,Monocyte_CD16:ENSG00000158411 +2,218363885,Monocyte_CD16:ENSG00000158428 +2,74414495,Monocyte_CD16:ENSG00000159374 +2,74817573,Monocyte_CD16:ENSG00000159399 +2,74884308,Monocyte_CD16:ENSG00000159399 +2,240980989,Monocyte_CD16:ENSG00000162804 +2,48496528,Monocyte_CD16:ENSG00000162869 +2,60781356,Monocyte_CD16:ENSG00000162924 +2,60881694,Monocyte_CD16:ENSG00000162924 +2,61017275,Monocyte_CD16:ENSG00000162927 +2,199955782,Monocyte_CD16:ENSG00000162972 +2,11160743,Monocyte_CD16:ENSG00000162976 +2,11362853,Monocyte_CD16:ENSG00000162976 +2,151637704,Monocyte_CD16:ENSG00000162980 +2,55232237,Monocyte_CD16:ENSG00000162994 +2,17642309,Monocyte_CD16:ENSG00000163029 +2,101226918,Monocyte_CD16:ENSG00000163162 +2,37635574,Monocyte_CD16:ENSG00000163171 +2,37734646,Monocyte_CD16:ENSG00000163171 +2,37761316,Monocyte_CD16:ENSG00000163171 +2,37829211,Monocyte_CD16:ENSG00000163171 +2,38875529,Monocyte_CD16:ENSG00000163214 +2,68682126,Monocyte_CD16:ENSG00000163219 +2,174496423,Monocyte_CD16:ENSG00000163328 +2,174497059,Monocyte_CD16:ENSG00000163328 +2,219122446,Monocyte_CD16:ENSG00000163466 +2,180004430,Monocyte_CD16:ENSG00000163510 +2,219243701,Monocyte_CD16:ENSG00000163521 +2,202630335,Monocyte_CD16:ENSG00000163596 +2,202766724,Monocyte_CD16:ENSG00000163596 +2,28608048,Monocyte_CD16:ENSG00000163803 +2,28911298,Monocyte_CD16:ENSG00000163811 +2,148879309,Monocyte_CD16:ENSG00000168280 +2,241251995,Monocyte_CD16:ENSG00000168385 +2,241355498,Monocyte_CD16:ENSG00000168385 +2,241670838,Monocyte_CD16:ENSG00000168397 +2,96905814,Monocyte_CD16:ENSG00000168758 +2,85705880,Monocyte_CD16:ENSG00000168874 +2,85661661,Monocyte_CD16:ENSG00000168878 +2,85580487,Monocyte_CD16:ENSG00000168899 +2,85700576,Monocyte_CD16:ENSG00000168899 +2,233077426,Monocyte_CD16:ENSG00000168918 +2,233164909,Monocyte_CD16:ENSG00000168918 +2,233165771,Monocyte_CD16:ENSG00000168918 +2,227325534,Monocyte_CD16:ENSG00000168958 +2,166379956,Monocyte_CD16:ENSG00000169432 +2,70107315,Monocyte_CD16:ENSG00000169564 +2,69423598,Monocyte_CD16:ENSG00000169599 +2,112722168,Monocyte_CD16:ENSG00000169607 +2,112432634,Monocyte_CD16:ENSG00000169629 +2,108540193,Monocyte_CD16:ENSG00000169756 +2,63842598,Monocyte_CD16:ENSG00000169764 +2,127388571,Monocyte_CD16:ENSG00000169967 +2,127235338,Monocyte_CD16:ENSG00000169994 +2,127637923,Monocyte_CD16:ENSG00000169994 +2,181046762,Monocyte_CD16:ENSG00000170035 +2,181053027,Monocyte_CD16:ENSG00000170035 +2,62308853,Monocyte_CD16:ENSG00000170340 +2,184622988,Monocyte_CD16:ENSG00000170396 +2,53989985,Monocyte_CD16:ENSG00000170634 +2,48346756,Monocyte_CD16:ENSG00000170802 +2,36554258,Monocyte_CD16:ENSG00000171055 +2,36601257,Monocyte_CD16:ENSG00000171055 +2,28834574,Monocyte_CD16:ENSG00000171103 +2,45842068,Monocyte_CD16:ENSG00000171132 +2,232361924,Monocyte_CD16:ENSG00000171551 +2,3575322,Monocyte_CD16:ENSG00000171863 +2,3547045,Monocyte_CD16:ENSG00000171865 +2,9998651,Monocyte_CD16:ENSG00000172059 +2,10021029,Monocyte_CD16:ENSG00000172059 +2,10032103,Monocyte_CD16:ENSG00000172059 +2,168375168,Monocyte_CD16:ENSG00000172292 +2,173969105,Monocyte_CD16:ENSG00000172845 +2,171951672,Monocyte_CD16:ENSG00000172878 +2,30451393,Monocyte_CD16:ENSG00000172954 +2,111485035,Monocyte_CD16:ENSG00000172965 +2,111487624,Monocyte_CD16:ENSG00000172965 +2,111515150,Monocyte_CD16:ENSG00000172965 +2,203897604,Monocyte_CD16:ENSG00000173166 +2,131473076,Monocyte_CD16:ENSG00000173272 +2,131489976,Monocyte_CD16:ENSG00000173272 +2,131563627,Monocyte_CD16:ENSG00000173272 +2,131669192,Monocyte_CD16:ENSG00000173272 +2,227446434,Monocyte_CD16:ENSG00000173744 +2,23924108,Monocyte_CD16:ENSG00000173960 +2,96006453,Monocyte_CD16:ENSG00000174501 +2,219418233,Monocyte_CD16:ENSG00000175084 +2,237771415,Monocyte_CD16:ENSG00000177483 +2,17791225,Monocyte_CD16:ENSG00000178295 +2,240607895,Monocyte_CD16:ENSG00000178623 +2,240627012,Monocyte_CD16:ENSG00000178623 +2,240634984,Monocyte_CD16:ENSG00000178623 +2,70086436,Monocyte_CD16:ENSG00000179818 +2,218259499,Monocyte_CD16:ENSG00000179921 +2,218087510,Monocyte_CD16:ENSG00000180871 +2,241735388,Monocyte_CD16:ENSG00000180902 +2,241767547,Monocyte_CD16:ENSG00000180902 +2,152048288,Monocyte_CD16:ENSG00000182389 +2,3497585,Monocyte_CD16:ENSG00000182551 +2,3503376,Monocyte_CD16:ENSG00000182551 +2,40111697,Monocyte_CD16:ENSG00000183023 +2,40453970,Monocyte_CD16:ENSG00000183023 +2,151820841,Monocyte_CD16:ENSG00000183091 +2,87075937,Monocyte_CD16:ENSG00000183281 +2,70825032,Monocyte_CD16:ENSG00000183733 +2,19897175,Monocyte_CD16:ENSG00000183891 +2,237898808,Monocyte_CD16:ENSG00000184182 +2,237966682,Monocyte_CD16:ENSG00000184182 +2,151291167,Monocyte_CD16:ENSG00000184898 +2,230405450,Monocyte_CD16:ENSG00000185404 +2,238229618,Monocyte_CD16:ENSG00000186235 +2,238265938,Monocyte_CD16:ENSG00000186235 +2,96082421,Monocyte_CD16:ENSG00000186281 +2,109637436,Monocyte_CD16:ENSG00000186522 +2,127109888,Monocyte_CD16:ENSG00000186684 +2,179353008,Monocyte_CD16:ENSG00000187231 +2,231554955,Monocyte_CD16:ENSG00000187514 +2,231604736,Monocyte_CD16:ENSG00000187514 +2,231666684,Monocyte_CD16:ENSG00000187514 +2,231666763,Monocyte_CD16:ENSG00000187514 +2,73827375,Monocyte_CD16:ENSG00000187605 +2,219160586,Monocyte_CD16:ENSG00000187736 +2,229750159,Monocyte_CD16:ENSG00000187957 +2,38875529,Monocyte_CD16:ENSG00000188010 +2,234419339,Monocyte_CD16:ENSG00000188042 +2,234426120,Monocyte_CD16:ENSG00000188042 +2,234459879,Monocyte_CD16:ENSG00000188042 +2,218031536,Monocyte_CD16:ENSG00000188282 +2,113235767,Monocyte_CD16:ENSG00000189223 +2,113236840,Monocyte_CD16:ENSG00000189223 +2,113331974,Monocyte_CD16:ENSG00000189223 +2,113590000,Monocyte_CD16:ENSG00000189223 +2,190534475,Monocyte_CD16:ENSG00000189362 +2,190581965,Monocyte_CD16:ENSG00000189362 +2,200301733,Monocyte_CD16:ENSG00000196141 +2,159266569,Monocyte_CD16:ENSG00000196151 +2,152719312,Monocyte_CD16:ENSG00000196504 +2,96547018,Monocyte_CD16:ENSG00000196843 +2,97550268,Monocyte_CD16:ENSG00000196912 +2,195610912,Monocyte_CD16:ENSG00000196950 +2,69740594,Monocyte_CD16:ENSG00000196975 +2,69906278,Monocyte_CD16:ENSG00000196975 +2,68040059,Monocyte_CD16:ENSG00000197223 +2,68055569,Monocyte_CD16:ENSG00000197223 +2,64216031,Monocyte_CD16:ENSG00000197329 +2,64225156,Monocyte_CD16:ENSG00000197329 +2,216498034,Monocyte_CD16:ENSG00000197756 +2,216498950,Monocyte_CD16:ENSG00000197756 +2,216499290,Monocyte_CD16:ENSG00000197756 +2,16657232,Monocyte_CD16:ENSG00000197872 +2,190271278,Monocyte_CD16:ENSG00000198130 +2,109637436,Monocyte_CD16:ENSG00000198142 +2,65318568,Monocyte_CD16:ENSG00000198369 +2,69378420,Monocyte_CD16:ENSG00000198380 +2,24356491,Monocyte_CD16:ENSG00000198399 +2,171048189,Monocyte_CD16:ENSG00000198586 +2,168184528,Monocyte_CD16:ENSG00000198648 +2,168214680,Monocyte_CD16:ENSG00000198648 +2,218739518,Monocyte_CD16:ENSG00000198925 +2,219160586,Monocyte_CD16:ENSG00000198925 +2,241814768,Monocyte_CD16:ENSG00000204099 +2,206403925,Monocyte_CD16:ENSG00000204186 +2,202573125,Monocyte_CD16:ENSG00000204217 +2,189407015,Monocyte_CD16:ENSG00000204262 +2,101030529,Monocyte_CD16:ENSG00000204634 +2,74958729,Monocyte_CD16:ENSG00000204792 +2,88514654,Monocyte_CD16:ENSG00000211592 +2,61144301,Monocyte_CD16:ENSG00000212978 +2,61154827,Monocyte_CD16:ENSG00000212978 +2,30225237,Monocyte_CD16:ENSG00000213626 +2,28753537,Monocyte_CD16:ENSG00000213639 +2,219174550,Monocyte_CD16:ENSG00000213901 +2,37196980,Monocyte_CD16:ENSG00000218739 +2,68268331,Monocyte_CD16:ENSG00000221823 +2,239401967,Monocyte_CD16:ENSG00000222020 +2,87217054,Monocyte_CD16:ENSG00000222041 +2,87282018,Monocyte_CD16:ENSG00000222041 +2,87518791,Monocyte_CD16:ENSG00000222041 +2,87712316,Monocyte_CD16:ENSG00000222041 +2,42345484,Monocyte_CD16:ENSG00000224875 +2,3478086,Monocyte_CD16:ENSG00000225234 +2,64211945,Monocyte_CD16:ENSG00000225889 +2,64216031,Monocyte_CD16:ENSG00000225889 +2,230174882,Monocyte_CD16:ENSG00000225963 +2,6849889,Monocyte_CD16:ENSG00000225964 +2,199760247,Monocyte_CD16:ENSG00000226124 +2,159695351,Monocyte_CD16:ENSG00000226266 +2,240962034,Monocyte_CD16:ENSG00000226321 +2,64640056,Monocyte_CD16:ENSG00000226756 +2,28751680,Monocyte_CD16:ENSG00000226833 +2,118186225,Monocyte_CD16:ENSG00000226856 +2,97663592,Monocyte_CD16:ENSG00000228486 +2,19877892,Monocyte_CD16:ENSG00000228784 +2,113829935,Monocyte_CD16:ENSG00000228857 +2,148879309,Monocyte_CD16:ENSG00000231079 +2,39437518,Monocyte_CD16:ENSG00000231312 +2,217789897,Monocyte_CD16:ENSG00000231672 +2,206111480,Monocyte_CD16:ENSG00000231955 +2,96006453,Monocyte_CD16:ENSG00000232931 +2,38149689,Monocyte_CD16:ENSG00000232973 +2,240962034,Monocyte_CD16:ENSG00000233392 +2,240962445,Monocyte_CD16:ENSG00000233392 +2,190534475,Monocyte_CD16:ENSG00000233654 +2,27454824,Monocyte_CD16:ENSG00000234072 +2,27985819,Monocyte_CD16:ENSG00000234072 +2,3561166,Monocyte_CD16:ENSG00000234171 +2,113590000,Monocyte_CD16:ENSG00000234174 +2,118069543,Monocyte_CD16:ENSG00000235066 +2,8679682,Monocyte_CD16:ENSG00000235092 +2,66421980,Monocyte_CD16:ENSG00000235725 +2,215733597,Monocyte_CD16:ENSG00000235770 +2,71062557,Monocyte_CD16:ENSG00000236469 +2,127388886,Monocyte_CD16:ENSG00000236682 +2,8179121,Monocyte_CD16:ENSG00000236790 +2,178549906,Monocyte_CD16:ENSG00000237298 +2,65030342,Monocyte_CD16:ENSG00000237638 +2,61145163,Monocyte_CD16:ENSG00000237651 +2,112639691,Monocyte_CD16:ENSG00000237753 +2,37829211,Monocyte_CD16:ENSG00000237803 +2,186315752,Monocyte_CD16:ENSG00000237877 +2,241979431,Monocyte_CD16:ENSG00000237940 +2,200877622,Monocyte_CD16:ENSG00000240344 +2,159789553,Monocyte_CD16:ENSG00000241399 +2,159792422,Monocyte_CD16:ENSG00000241399 +2,159822283,Monocyte_CD16:ENSG00000241399 +2,10656758,Monocyte_CD16:ENSG00000243819 +2,46541956,Monocyte_CD16:ENSG00000250565 +2,64525160,Monocyte_CD16:ENSG00000260101 +2,216190939,Monocyte_CD16:ENSG00000260804 +2,241129607,Monocyte_CD16:ENSG00000260942 +2,218259499,Monocyte_CD16:ENSG00000261338 +2,9843557,Monocyte_CD16:ENSG00000269973 +2,10880776,Monocyte_CD16:ENSG00000271952 +2,196085166,Monocyte_CD16:ENSG00000272211 +2,55581918,Monocyte_CD16:ENSG00000272606 +2,74817573,Monocyte_CD16:ENSG00000272711 +2,71065392,Monocyte_CD16:ENSG00000272735 +2,202313603,Monocyte_CD16:ENSG00000272966 +2,86195908,Monocyte_CD16:ENSG00000273080 +2,202313603,Monocyte_CD16:ENSG00000273456 +2,184596115,Monocyte_CD16:ENSG00000283839 +2,184596406,Monocyte_CD16:ENSG00000283839 +2,184598808,Monocyte_CD16:ENSG00000283839 +2,198042419,Monocyte_CD16:ENSG00000286020 +2,219515403,Monocyte_CD16:ENSG00000286095 +2,201916524,Monocyte_CD16:ENSG00000286223 +2,112457071,Monocyte_CD16:ENSG00000286545 +2,43134250,Monocyte_CD16:ENSG00000286796 +2,159798013,Monocyte_CD16:ENSG00000287091 +2,131682500,Monocyte_CD16:ENSG00000287151 +2,73827375,Monocyte_CD16:ENSG00000287250 +2,151637704,Monocyte_CD16:ENSG00000288066 +16,30474072,Monocyte_CD16:ENSG00000005844 +16,19499387,Monocyte_CD16:ENSG00000006007 +16,2817449,Monocyte_CD16:ENSG00000007038 +16,3239966,Monocyte_CD16:ENSG00000010539 +16,21154197,Monocyte_CD16:ENSG00000011638 +16,29815217,Monocyte_CD16:ENSG00000013364 +16,71736933,Monocyte_CD16:ENSG00000040199 +16,56919349,Monocyte_CD16:ENSG00000051108 +16,88529913,Monocyte_CD16:ENSG00000051523 +16,88643329,Monocyte_CD16:ENSG00000051523 +16,88651549,Monocyte_CD16:ENSG00000051523 +16,88754722,Monocyte_CD16:ENSG00000051523 +16,88833381,Monocyte_CD16:ENSG00000051523 +16,2936322,Monocyte_CD16:ENSG00000059122 +16,1826618,Monocyte_CD16:ENSG00000063854 +16,1831144,Monocyte_CD16:ENSG00000063854 +16,1369322,Monocyte_CD16:ENSG00000065057 +16,75651797,Monocyte_CD16:ENSG00000065427 +16,75631121,Monocyte_CD16:ENSG00000065457 +16,20682745,Monocyte_CD16:ENSG00000066654 +16,20742258,Monocyte_CD16:ENSG00000066654 +16,8649370,Monocyte_CD16:ENSG00000067365 +16,8655299,Monocyte_CD16:ENSG00000067365 +16,4800413,Monocyte_CD16:ENSG00000067836 +16,4803815,Monocyte_CD16:ENSG00000067836 +16,68099360,Monocyte_CD16:ENSG00000072736 +16,1768679,Monocyte_CD16:ENSG00000074071 +16,89725189,Monocyte_CD16:ENSG00000075399 +16,27344041,Monocyte_CD16:ENSG00000077238 +16,27347975,Monocyte_CD16:ENSG00000077238 +16,383242,Monocyte_CD16:ENSG00000086504 +16,56979659,Monocyte_CD16:ENSG00000087237 +16,57025062,Monocyte_CD16:ENSG00000087237 +16,55504960,Monocyte_CD16:ENSG00000087253 +16,55550756,Monocyte_CD16:ENSG00000087253 +16,56423670,Monocyte_CD16:ENSG00000087263 +16,31183958,Monocyte_CD16:ENSG00000089280 +16,4494504,Monocyte_CD16:ENSG00000089486 +16,66564680,Monocyte_CD16:ENSG00000089505 +16,30107024,Monocyte_CD16:ENSG00000090238 +16,70157320,Monocyte_CD16:ENSG00000090857 +16,70251998,Monocyte_CD16:ENSG00000090861 +16,74562720,Monocyte_CD16:ENSG00000090863 +16,24819518,Monocyte_CD16:ENSG00000090905 +16,1768679,Monocyte_CD16:ENSG00000100726 +16,760844,Monocyte_CD16:ENSG00000102854 +16,4686079,Monocyte_CD16:ENSG00000102858 +16,30172965,Monocyte_CD16:ENSG00000102879 +16,30134464,Monocyte_CD16:ENSG00000102882 +16,47306652,Monocyte_CD16:ENSG00000102893 +16,20916084,Monocyte_CD16:ENSG00000102897 +16,56987518,Monocyte_CD16:ENSG00000102900 +16,48356601,Monocyte_CD16:ENSG00000102910 +16,48395177,Monocyte_CD16:ENSG00000102910 +16,69427068,Monocyte_CD16:ENSG00000103018 +16,1768679,Monocyte_CD16:ENSG00000103024 +16,58519260,Monocyte_CD16:ENSG00000103037 +16,69160588,Monocyte_CD16:ENSG00000103047 +16,68360348,Monocyte_CD16:ENSG00000103061 +16,68283158,Monocyte_CD16:ENSG00000103064 +16,77199441,Monocyte_CD16:ENSG00000103111 +16,81019914,Monocyte_CD16:ENSG00000103121 +16,138607,Monocyte_CD16:ENSG00000103148 +16,63179,Monocyte_CD16:ENSG00000103152 +16,84065210,Monocyte_CD16:ENSG00000103160 +16,84180359,Monocyte_CD16:ENSG00000103168 +16,5025247,Monocyte_CD16:ENSG00000103174 +16,84566364,Monocyte_CD16:ENSG00000103187 +16,84597662,Monocyte_CD16:ENSG00000103187 +16,84600137,Monocyte_CD16:ENSG00000103187 +16,84600148,Monocyte_CD16:ENSG00000103187 +16,84617181,Monocyte_CD16:ENSG00000103187 +16,397561,Monocyte_CD16:ENSG00000103202 +16,16259309,Monocyte_CD16:ENSG00000103226 +16,932572,Monocyte_CD16:ENSG00000103227 +16,733864,Monocyte_CD16:ENSG00000103245 +16,1455891,Monocyte_CD16:ENSG00000103249 +16,733864,Monocyte_CD16:ENSG00000103253 +16,733967,Monocyte_CD16:ENSG00000103254 +16,718596,Monocyte_CD16:ENSG00000103260 +16,87368655,Monocyte_CD16:ENSG00000103264 +16,636337,Monocyte_CD16:ENSG00000103266 +16,33887,Monocyte_CD16:ENSG00000103269 +16,1310090,Monocyte_CD16:ENSG00000103275 +16,3239966,Monocyte_CD16:ENSG00000103313 +16,3263611,Monocyte_CD16:ENSG00000103313 +16,88780410,Monocyte_CD16:ENSG00000103335 +16,88791838,Monocyte_CD16:ENSG00000103335 +16,11854864,Monocyte_CD16:ENSG00000103342 +16,3539024,Monocyte_CD16:ENSG00000103351 +16,2774820,Monocyte_CD16:ENSG00000103363 +16,2796000,Monocyte_CD16:ENSG00000103363 +16,2830104,Monocyte_CD16:ENSG00000103363 +16,2861415,Monocyte_CD16:ENSG00000103363 +16,12550186,Monocyte_CD16:ENSG00000103381 +16,12573410,Monocyte_CD16:ENSG00000103381 +16,12803538,Monocyte_CD16:ENSG00000103381 +16,4494504,Monocyte_CD16:ENSG00000103415 +16,4428850,Monocyte_CD16:ENSG00000103423 +16,53452125,Monocyte_CD16:ENSG00000103479 +16,29663502,Monocyte_CD16:ENSG00000103485 +16,17380040,Monocyte_CD16:ENSG00000103489 +16,17383968,Monocyte_CD16:ENSG00000103489 +16,17470801,Monocyte_CD16:ENSG00000103489 +16,31161713,Monocyte_CD16:ENSG00000103490 +16,31036009,Monocyte_CD16:ENSG00000103496 +16,31000500,Monocyte_CD16:ENSG00000103507 +16,15045136,Monocyte_CD16:ENSG00000103512 +16,15129796,Monocyte_CD16:ENSG00000103512 +16,27405326,Monocyte_CD16:ENSG00000103522 +16,19138674,Monocyte_CD16:ENSG00000103528 +16,19140414,Monocyte_CD16:ENSG00000103528 +16,30777438,Monocyte_CD16:ENSG00000103549 +16,19717694,Monocyte_CD16:ENSG00000103550 +16,87773639,Monocyte_CD16:ENSG00000104731 +16,5085379,Monocyte_CD16:ENSG00000118894 +16,4797316,Monocyte_CD16:ENSG00000118900 +16,4848635,Monocyte_CD16:ENSG00000118900 +16,3106591,Monocyte_CD16:ENSG00000122386 +16,3478737,Monocyte_CD16:ENSG00000122390 +16,56357056,Monocyte_CD16:ENSG00000125124 +16,56518768,Monocyte_CD16:ENSG00000125124 +16,56625613,Monocyte_CD16:ENSG00000125148 +16,58708576,Monocyte_CD16:ENSG00000125166 +16,3678516,Monocyte_CD16:ENSG00000126602 +16,1987087,Monocyte_CD16:ENSG00000127554 +16,616151,Monocyte_CD16:ENSG00000127578 +16,47688257,Monocyte_CD16:ENSG00000129636 +16,370907,Monocyte_CD16:ENSG00000129925 +16,380011,Monocyte_CD16:ENSG00000129925 +16,635813,Monocyte_CD16:ENSG00000130731 +16,636337,Monocyte_CD16:ENSG00000130731 +16,85759282,Monocyte_CD16:ENSG00000131143 +16,85759361,Monocyte_CD16:ENSG00000131143 +16,85799671,Monocyte_CD16:ENSG00000131143 +16,85799689,Monocyte_CD16:ENSG00000131143 +16,85801212,Monocyte_CD16:ENSG00000131148 +16,85687349,Monocyte_CD16:ENSG00000131153 +16,89669515,Monocyte_CD16:ENSG00000131165 +16,1533633,Monocyte_CD16:ENSG00000131634 +16,2967271,Monocyte_CD16:ENSG00000131650 +16,67769358,Monocyte_CD16:ENSG00000132600 +16,68393279,Monocyte_CD16:ENSG00000132600 +16,15727389,Monocyte_CD16:ENSG00000133392 +16,15873504,Monocyte_CD16:ENSG00000133393 +16,19286002,Monocyte_CD16:ENSG00000134419 +16,82162964,Monocyte_CD16:ENSG00000135698 +16,82164278,Monocyte_CD16:ENSG00000135698 +16,85017129,Monocyte_CD16:ENSG00000135709 +16,66893016,Monocyte_CD16:ENSG00000135723 +16,67356495,Monocyte_CD16:ENSG00000135723 +16,8835183,Monocyte_CD16:ENSG00000140650 +16,31339017,Monocyte_CD16:ENSG00000140678 +16,31352656,Monocyte_CD16:ENSG00000140678 +16,22045069,Monocyte_CD16:ENSG00000140740 +16,21636022,Monocyte_CD16:ENSG00000140749 +16,21662568,Monocyte_CD16:ENSG00000140749 +16,73045413,Monocyte_CD16:ENSG00000140836 +16,73148353,Monocyte_CD16:ENSG00000140836 +16,57025062,Monocyte_CD16:ENSG00000140853 +16,77675861,Monocyte_CD16:ENSG00000140876 +16,77724869,Monocyte_CD16:ENSG00000140876 +16,66408503,Monocyte_CD16:ENSG00000140931 +16,66606300,Monocyte_CD16:ENSG00000140931 +16,66612688,Monocyte_CD16:ENSG00000140931 +16,87391474,Monocyte_CD16:ENSG00000140941 +16,84062972,Monocyte_CD16:ENSG00000140943 +16,84504852,Monocyte_CD16:ENSG00000140950 +16,83952220,Monocyte_CD16:ENSG00000140961 +16,85982569,Monocyte_CD16:ENSG00000140968 +16,1964833,Monocyte_CD16:ENSG00000140988 +16,1964978,Monocyte_CD16:ENSG00000140988 +16,1958542,Monocyte_CD16:ENSG00000140990 +16,89958491,Monocyte_CD16:ENSG00000140995 +16,88991632,Monocyte_CD16:ENSG00000141002 +16,88855085,Monocyte_CD16:ENSG00000141012 +16,30107024,Monocyte_CD16:ENSG00000149923 +16,8834492,Monocyte_CD16:ENSG00000153048 +16,8835183,Monocyte_CD16:ENSG00000153048 +16,8841722,Monocyte_CD16:ENSG00000153048 +16,8869050,Monocyte_CD16:ENSG00000153048 +16,11727852,Monocyte_CD16:ENSG00000153066 +16,4464760,Monocyte_CD16:ENSG00000153406 +16,4476922,Monocyte_CD16:ENSG00000153406 +16,4494504,Monocyte_CD16:ENSG00000153406 +16,75386852,Monocyte_CD16:ENSG00000153774 +16,85017129,Monocyte_CD16:ENSG00000153786 +16,81701407,Monocyte_CD16:ENSG00000153815 +16,85730207,Monocyte_CD16:ENSG00000154102 +16,85759282,Monocyte_CD16:ENSG00000154102 +16,85759361,Monocyte_CD16:ENSG00000154102 +16,50076739,Monocyte_CD16:ENSG00000155393 +16,21727666,Monocyte_CD16:ENSG00000155719 +16,15405554,Monocyte_CD16:ENSG00000156968 +16,15083838,Monocyte_CD16:ENSG00000157045 +16,69934824,Monocyte_CD16:ENSG00000157322 +16,69972064,Monocyte_CD16:ENSG00000157322 +16,88696535,Monocyte_CD16:ENSG00000158717 +16,88704213,Monocyte_CD16:ENSG00000158717 +16,89725189,Monocyte_CD16:ENSG00000158805 +16,56384703,Monocyte_CD16:ENSG00000159461 +16,56423670,Monocyte_CD16:ENSG00000159461 +16,66882460,Monocyte_CD16:ENSG00000159593 +16,67356495,Monocyte_CD16:ENSG00000159713 +16,67418603,Monocyte_CD16:ENSG00000159713 +16,67418603,Monocyte_CD16:ENSG00000159714 +16,67325376,Monocyte_CD16:ENSG00000159720 +16,67418603,Monocyte_CD16:ENSG00000159720 +16,33887,Monocyte_CD16:ENSG00000161980 +16,35065,Monocyte_CD16:ENSG00000161980 +16,53423,Monocyte_CD16:ENSG00000161980 +16,34170,Monocyte_CD16:ENSG00000161981 +16,35065,Monocyte_CD16:ENSG00000161981 +16,62595,Monocyte_CD16:ENSG00000161981 +16,681725,Monocyte_CD16:ENSG00000161999 +16,2506575,Monocyte_CD16:ENSG00000162065 +16,2520290,Monocyte_CD16:ENSG00000162066 +16,2970292,Monocyte_CD16:ENSG00000162073 +16,2883279,Monocyte_CD16:ENSG00000162076 +16,2830104,Monocyte_CD16:ENSG00000162078 +16,2861415,Monocyte_CD16:ENSG00000162078 +16,50349166,Monocyte_CD16:ENSG00000166164 +16,80659227,Monocyte_CD16:ENSG00000166446 +16,80969199,Monocyte_CD16:ENSG00000166451 +16,81030782,Monocyte_CD16:ENSG00000166454 +16,23805897,Monocyte_CD16:ENSG00000166501 +16,23850892,Monocyte_CD16:ENSG00000166501 +16,24011595,Monocyte_CD16:ENSG00000166501 +16,66564680,Monocyte_CD16:ENSG00000166548 +16,75118302,Monocyte_CD16:ENSG00000166816 +16,75443816,Monocyte_CD16:ENSG00000166822 +16,23641948,Monocyte_CD16:ENSG00000166847 +16,23657247,Monocyte_CD16:ENSG00000166847 +16,50692911,Monocyte_CD16:ENSG00000167207 +16,50687006,Monocyte_CD16:ENSG00000167208 +16,50692911,Monocyte_CD16:ENSG00000167208 +16,67936796,Monocyte_CD16:ENSG00000167261 +16,68070326,Monocyte_CD16:ENSG00000167264 +16,68099360,Monocyte_CD16:ENSG00000167264 +16,88651549,Monocyte_CD16:ENSG00000167508 +16,88860813,Monocyte_CD16:ENSG00000167515 +16,89331546,Monocyte_CD16:ENSG00000167522 +16,89665616,Monocyte_CD16:ENSG00000167523 +16,89561665,Monocyte_CD16:ENSG00000167526 +16,89564222,Monocyte_CD16:ENSG00000167526 +16,2251519,Monocyte_CD16:ENSG00000167969 +16,2658701,Monocyte_CD16:ENSG00000167977 +16,74675692,Monocyte_CD16:ENSG00000168404 +16,74701250,Monocyte_CD16:ENSG00000168404 +16,74621252,Monocyte_CD16:ENSG00000168411 +16,69295687,Monocyte_CD16:ENSG00000168807 +16,30107024,Monocyte_CD16:ENSG00000169592 +16,28961947,Monocyte_CD16:ENSG00000169682 +16,29166131,Monocyte_CD16:ENSG00000169682 +16,56625613,Monocyte_CD16:ENSG00000169715 +16,31161713,Monocyte_CD16:ENSG00000169896 +16,88908329,Monocyte_CD16:ENSG00000170100 +16,18784433,Monocyte_CD16:ENSG00000170540 +16,11815055,Monocyte_CD16:ENSG00000171490 +16,57149512,Monocyte_CD16:ENSG00000172775 +16,13915962,Monocyte_CD16:ENSG00000175595 +16,28582379,Monocyte_CD16:ENSG00000176476 +16,89093921,Monocyte_CD16:ENSG00000176715 +16,89120121,Monocyte_CD16:ENSG00000176715 +16,29166131,Monocyte_CD16:ENSG00000176953 +16,53091907,Monocyte_CD16:ENSG00000177200 +16,53337296,Monocyte_CD16:ENSG00000177200 +16,89972488,Monocyte_CD16:ENSG00000177946 +16,79264040,Monocyte_CD16:ENSG00000178573 +16,79472650,Monocyte_CD16:ENSG00000178573 +16,28846324,Monocyte_CD16:ENSG00000178952 +16,10888059,Monocyte_CD16:ENSG00000179583 +16,10923871,Monocyte_CD16:ENSG00000179583 +16,15077591,Monocyte_CD16:ENSG00000179889 +16,30385580,Monocyte_CD16:ENSG00000180096 +16,1867493,Monocyte_CD16:ENSG00000180185 +16,71259770,Monocyte_CD16:ENSG00000180917 +16,10942439,Monocyte_CD16:ENSG00000182108 +16,8661299,Monocyte_CD16:ENSG00000183044 +16,8729991,Monocyte_CD16:ENSG00000183044 +16,30312059,Monocyte_CD16:ENSG00000183336 +16,15129796,Monocyte_CD16:ENSG00000183426 +16,2211656,Monocyte_CD16:ENSG00000184207 +16,75148456,Monocyte_CD16:ENSG00000184517 +16,11613939,Monocyte_CD16:ENSG00000184602 +16,11727852,Monocyte_CD16:ENSG00000184602 +16,28553948,Monocyte_CD16:ENSG00000184730 +16,68535556,Monocyte_CD16:ENSG00000184939 +16,89686691,Monocyte_CD16:ENSG00000185324 +16,11270222,Monocyte_CD16:ENSG00000185338 +16,2506575,Monocyte_CD16:ENSG00000185883 +16,2519809,Monocyte_CD16:ENSG00000185883 +16,2541391,Monocyte_CD16:ENSG00000185883 +16,29739842,Monocyte_CD16:ENSG00000185905 +16,56617689,Monocyte_CD16:ENSG00000187193 +16,89725189,Monocyte_CD16:ENSG00000187741 +16,28495107,Monocyte_CD16:ENSG00000188603 +16,11578960,Monocyte_CD16:ENSG00000189067 +16,11584294,Monocyte_CD16:ENSG00000189067 +16,11612871,Monocyte_CD16:ENSG00000189067 +16,11613880,Monocyte_CD16:ENSG00000189067 +16,11613939,Monocyte_CD16:ENSG00000189067 +16,11637028,Monocyte_CD16:ENSG00000189067 +16,70553799,Monocyte_CD16:ENSG00000189091 +16,28543840,Monocyte_CD16:ENSG00000196502 +16,28551158,Monocyte_CD16:ENSG00000196502 +16,28568594,Monocyte_CD16:ENSG00000196502 +16,28584668,Monocyte_CD16:ENSG00000196502 +16,28596821,Monocyte_CD16:ENSG00000196502 +16,28603480,Monocyte_CD16:ENSG00000196502 +16,28605936,Monocyte_CD16:ENSG00000196502 +16,28608999,Monocyte_CD16:ENSG00000196502 +16,28609236,Monocyte_CD16:ENSG00000196502 +16,21662568,Monocyte_CD16:ENSG00000197006 +16,28846324,Monocyte_CD16:ENSG00000197165 +16,31654295,Monocyte_CD16:ENSG00000197302 +16,616151,Monocyte_CD16:ENSG00000197562 +16,1774074,Monocyte_CD16:ENSG00000197774 +16,89523652,Monocyte_CD16:ENSG00000197912 +16,69747186,Monocyte_CD16:ENSG00000198373 +16,55810705,Monocyte_CD16:ENSG00000198848 +16,55816655,Monocyte_CD16:ENSG00000198848 +16,55832425,Monocyte_CD16:ENSG00000198848 +16,88789676,Monocyte_CD16:ENSG00000198931 +16,88811949,Monocyte_CD16:ENSG00000198931 +16,89902846,Monocyte_CD16:ENSG00000204991 +16,88935022,Monocyte_CD16:ENSG00000205018 +16,88954244,Monocyte_CD16:ENSG00000205018 +16,77219327,Monocyte_CD16:ENSG00000205078 +16,19131457,Monocyte_CD16:ENSG00000205730 +16,19140414,Monocyte_CD16:ENSG00000205730 +16,2273393,Monocyte_CD16:ENSG00000205937 +16,1648527,Monocyte_CD16:ENSG00000206053 +16,29604530,Monocyte_CD16:ENSG00000213648 +16,3516362,Monocyte_CD16:ENSG00000213918 +16,70251998,Monocyte_CD16:ENSG00000223496 +16,83728501,Monocyte_CD16:ENSG00000230989 +16,83753225,Monocyte_CD16:ENSG00000230989 +16,11976565,Monocyte_CD16:ENSG00000234719 +16,406416,Monocyte_CD16:ENSG00000242612 +16,22312886,Monocyte_CD16:ENSG00000243716 +16,66408503,Monocyte_CD16:ENSG00000246898 +16,69995699,Monocyte_CD16:ENSG00000247228 +16,70157320,Monocyte_CD16:ENSG00000247228 +16,30336931,Monocyte_CD16:ENSG00000254206 +16,1964978,Monocyte_CD16:ENSG00000255198 +16,29196834,Monocyte_CD16:ENSG00000259807 +16,89229460,Monocyte_CD16:ENSG00000259877 +16,74321215,Monocyte_CD16:ENSG00000259972 +16,30579139,Monocyte_CD16:ENSG00000260083 +16,55446098,Monocyte_CD16:ENSG00000260135 +16,55451506,Monocyte_CD16:ENSG00000260135 +16,55451777,Monocyte_CD16:ENSG00000260135 +16,83787302,Monocyte_CD16:ENSG00000260228 +16,83804959,Monocyte_CD16:ENSG00000260228 +16,50791548,Monocyte_CD16:ENSG00000260249 +16,9107053,Monocyte_CD16:ENSG00000260349 +16,29166131,Monocyte_CD16:ENSG00000260517 +16,29246205,Monocyte_CD16:ENSG00000260517 +16,90104403,Monocyte_CD16:ENSG00000260528 +16,2658701,Monocyte_CD16:ENSG00000260565 +16,56423670,Monocyte_CD16:ENSG00000260621 +16,88696535,Monocyte_CD16:ENSG00000260630 +16,66484130,Monocyte_CD16:ENSG00000260755 +16,2273393,Monocyte_CD16:ENSG00000260778 +16,30955956,Monocyte_CD16:ENSG00000260911 +16,58163061,Monocyte_CD16:ENSG00000260927 +16,58170859,Monocyte_CD16:ENSG00000260927 +16,74367805,Monocyte_CD16:ENSG00000261079 +16,89523652,Monocyte_CD16:ENSG00000261118 +16,2684792,Monocyte_CD16:ENSG00000261140 +16,12758297,Monocyte_CD16:ENSG00000261158 +16,11891344,Monocyte_CD16:ENSG00000261216 +16,81739010,Monocyte_CD16:ENSG00000261218 +16,81739421,Monocyte_CD16:ENSG00000261218 +16,89523652,Monocyte_CD16:ENSG00000261253 +16,21662568,Monocyte_CD16:ENSG00000261596 +16,2198859,Monocyte_CD16:ENSG00000261613 +16,50740427,Monocyte_CD16:ENSG00000261644 +16,24819518,Monocyte_CD16:ENSG00000261669 +16,24310481,Monocyte_CD16:ENSG00000261723 +16,19140414,Monocyte_CD16:ENSG00000261759 +16,75296480,Monocyte_CD16:ENSG00000261783 +16,81074143,Monocyte_CD16:ENSG00000261838 +16,13995023,Monocyte_CD16:ENSG00000262097 +16,14008944,Monocyte_CD16:ENSG00000262097 +16,14016157,Monocyte_CD16:ENSG00000262097 +16,25070963,Monocyte_CD16:ENSG00000262155 +16,4421290,Monocyte_CD16:ENSG00000262246 +16,3078976,Monocyte_CD16:ENSG00000262370 +16,3132409,Monocyte_CD16:ENSG00000263072 +16,15727389,Monocyte_CD16:ENSG00000263335 +16,89333047,Monocyte_CD16:ENSG00000268218 +16,230861,Monocyte_CD16:ENSG00000268836 +16,67481485,Monocyte_CD16:ENSG00000270049 +16,2998390,Monocyte_CD16:ENSG00000272079 +16,29101431,Monocyte_CD16:ENSG00000273582 +16,29233216,Monocyte_CD16:ENSG00000273582 +16,27344041,Monocyte_CD16:ENSG00000274092 +16,25257047,Monocyte_CD16:ENSG00000274925 +16,11818847,Monocyte_CD16:ENSG00000277369 +16,29276532,Monocyte_CD16:ENSG00000277999 +16,68433804,Monocyte_CD16:ENSG00000287760 +13,42279216,Monocyte_CD16:ENSG00000023516 +13,20588801,Monocyte_CD16:ENSG00000032742 +13,31876754,Monocyte_CD16:ENSG00000073910 +13,60479937,Monocyte_CD16:ENSG00000083544 +13,110914085,Monocyte_CD16:ENSG00000088448 +13,46377338,Monocyte_CD16:ENSG00000102445 +13,108266519,Monocyte_CD16:ENSG00000102524 +13,108343101,Monocyte_CD16:ENSG00000102524 +13,48929729,Monocyte_CD16:ENSG00000102531 +13,73335185,Monocyte_CD16:ENSG00000102554 +13,98606713,Monocyte_CD16:ENSG00000102572 +13,96058126,Monocyte_CD16:ENSG00000102580 +13,96053444,Monocyte_CD16:ENSG00000102595 +13,24456494,Monocyte_CD16:ENSG00000102699 +13,24456976,Monocyte_CD16:ENSG00000102699 +13,24480042,Monocyte_CD16:ENSG00000102699 +13,24502118,Monocyte_CD16:ENSG00000102699 +13,37060136,Monocyte_CD16:ENSG00000102710 +13,28555937,Monocyte_CD16:ENSG00000102755 +13,41961121,Monocyte_CD16:ENSG00000102763 +13,30311024,Monocyte_CD16:ENSG00000102781 +13,74134559,Monocyte_CD16:ENSG00000118922 +13,74136237,Monocyte_CD16:ENSG00000118922 +13,43023570,Monocyte_CD16:ENSG00000120675 +13,40961152,Monocyte_CD16:ENSG00000120690 +13,31161049,Monocyte_CD16:ENSG00000120694 +13,41160054,Monocyte_CD16:ENSG00000120696 +13,36974579,Monocyte_CD16:ENSG00000120699 +13,27175176,Monocyte_CD16:ENSG00000122026 +13,27260023,Monocyte_CD16:ENSG00000122026 +13,27424632,Monocyte_CD16:ENSG00000122033 +13,27424632,Monocyte_CD16:ENSG00000122034 +13,27260023,Monocyte_CD16:ENSG00000122035 +13,27309477,Monocyte_CD16:ENSG00000122035 +13,49666733,Monocyte_CD16:ENSG00000123179 +13,49709253,Monocyte_CD16:ENSG00000123179 +13,46022607,Monocyte_CD16:ENSG00000123200 +13,99657961,Monocyte_CD16:ENSG00000125246 +13,100675198,Monocyte_CD16:ENSG00000125247 +13,97384706,Monocyte_CD16:ENSG00000125249 +13,95290307,Monocyte_CD16:ENSG00000125257 +13,99477320,Monocyte_CD16:ENSG00000125304 +13,113203678,Monocyte_CD16:ENSG00000126226 +13,113256994,Monocyte_CD16:ENSG00000126226 +13,114242563,Monocyte_CD16:ENSG00000130177 +13,39642103,Monocyte_CD16:ENSG00000133103 +13,39655607,Monocyte_CD16:ENSG00000133103 +13,36319273,Monocyte_CD16:ENSG00000133104 +13,42976107,Monocyte_CD16:ENSG00000133106 +13,42992237,Monocyte_CD16:ENSG00000133106 +13,45321304,Monocyte_CD16:ENSG00000133112 +13,45329871,Monocyte_CD16:ENSG00000133112 +13,45341346,Monocyte_CD16:ENSG00000133112 +13,100531800,Monocyte_CD16:ENSG00000134864 +13,100540420,Monocyte_CD16:ENSG00000134864 +13,99343761,Monocyte_CD16:ENSG00000134882 +13,102876934,Monocyte_CD16:ENSG00000134899 +13,110651955,Monocyte_CD16:ENSG00000134905 +13,110661075,Monocyte_CD16:ENSG00000134905 +13,52142053,Monocyte_CD16:ENSG00000136098 +13,52465966,Monocyte_CD16:ENSG00000136100 +13,52465972,Monocyte_CD16:ENSG00000136100 +13,50892539,Monocyte_CD16:ENSG00000136104 +13,50909867,Monocyte_CD16:ENSG00000136104 +13,52466687,Monocyte_CD16:ENSG00000136108 +13,52711947,Monocyte_CD16:ENSG00000136108 +13,75327342,Monocyte_CD16:ENSG00000136111 +13,72727908,Monocyte_CD16:ENSG00000136122 +13,47998302,Monocyte_CD16:ENSG00000136143 +13,49527518,Monocyte_CD16:ENSG00000136144 +13,49527518,Monocyte_CD16:ENSG00000136147 +13,48144610,Monocyte_CD16:ENSG00000136156 +13,48154271,Monocyte_CD16:ENSG00000136156 +13,48255254,Monocyte_CD16:ENSG00000136156 +13,48314528,Monocyte_CD16:ENSG00000136156 +13,46132101,Monocyte_CD16:ENSG00000136167 +13,46170502,Monocyte_CD16:ENSG00000136167 +13,46171434,Monocyte_CD16:ENSG00000136167 +13,49444704,Monocyte_CD16:ENSG00000136169 +13,29595724,Monocyte_CD16:ENSG00000139514 +13,31876754,Monocyte_CD16:ENSG00000139618 +13,51534516,Monocyte_CD16:ENSG00000139668 +13,48485821,Monocyte_CD16:ENSG00000139679 +13,46801522,Monocyte_CD16:ENSG00000139684 +13,48627111,Monocyte_CD16:ENSG00000139687 +13,97223779,Monocyte_CD16:ENSG00000139793 +13,110521633,Monocyte_CD16:ENSG00000139832 +13,110540074,Monocyte_CD16:ENSG00000139832 +13,110663142,Monocyte_CD16:ENSG00000139832 +13,113160886,Monocyte_CD16:ENSG00000139842 +13,113256994,Monocyte_CD16:ENSG00000139842 +13,113503763,Monocyte_CD16:ENSG00000150403 +13,21074873,Monocyte_CD16:ENSG00000150457 +13,21140781,Monocyte_CD16:ENSG00000150459 +13,40428504,Monocyte_CD16:ENSG00000150907 +13,43879344,Monocyte_CD16:ENSG00000151773 +13,43900634,Monocyte_CD16:ENSG00000151773 +13,43936804,Monocyte_CD16:ENSG00000151773 +13,78659292,Monocyte_CD16:ENSG00000152193 +13,48709632,Monocyte_CD16:ENSG00000152207 +13,49527518,Monocyte_CD16:ENSG00000152213 +13,94601666,Monocyte_CD16:ENSG00000152749 +13,98460912,Monocyte_CD16:ENSG00000152767 +13,110661075,Monocyte_CD16:ENSG00000153487 +13,52675279,Monocyte_CD16:ENSG00000165416 +13,20588801,Monocyte_CD16:ENSG00000165475 +13,114282225,Monocyte_CD16:ENSG00000169062 +13,114298468,Monocyte_CD16:ENSG00000169062 +13,35106321,Monocyte_CD16:ENSG00000172915 +13,100081318,Monocyte_CD16:ENSG00000175198 +13,50718901,Monocyte_CD16:ENSG00000176124 +13,76764630,Monocyte_CD16:ENSG00000178695 +13,76880247,Monocyte_CD16:ENSG00000178695 +13,43900634,Monocyte_CD16:ENSG00000179630 +13,21459644,Monocyte_CD16:ENSG00000180776 +13,24253606,Monocyte_CD16:ENSG00000182957 +13,24279855,Monocyte_CD16:ENSG00000182957 +13,113533811,Monocyte_CD16:ENSG00000184497 +13,113772064,Monocyte_CD16:ENSG00000184497 +13,113799443,Monocyte_CD16:ENSG00000184497 +13,109418235,Monocyte_CD16:ENSG00000185950 +13,114004733,Monocyte_CD16:ENSG00000185989 +13,50714580,Monocyte_CD16:ENSG00000186047 +13,27621896,Monocyte_CD16:ENSG00000186184 +13,75518631,Monocyte_CD16:ENSG00000188243 +13,45120004,Monocyte_CD16:ENSG00000188342 +13,30464514,Monocyte_CD16:ENSG00000189403 +13,19684312,Monocyte_CD16:ENSG00000196199 +13,113597133,Monocyte_CD16:ENSG00000198176 +13,72727616,Monocyte_CD16:ENSG00000204899 +13,49951173,Monocyte_CD16:ENSG00000204977 +13,110661075,Monocyte_CD16:ENSG00000213995 +13,100540420,Monocyte_CD16:ENSG00000224356 +13,21344705,Monocyte_CD16:ENSG00000224429 +13,44137489,Monocyte_CD16:ENSG00000227258 +13,79389116,Monocyte_CD16:ENSG00000227354 +13,79406474,Monocyte_CD16:ENSG00000227354 +13,49812315,Monocyte_CD16:ENSG00000231607 +13,46109039,Monocyte_CD16:ENSG00000231817 +13,47495756,Monocyte_CD16:ENSG00000231817 +13,50718901,Monocyte_CD16:ENSG00000233672 +13,50910481,Monocyte_CD16:ENSG00000233672 +13,113819622,Monocyte_CD16:ENSG00000233695 +13,113824946,Monocyte_CD16:ENSG00000233695 +13,113847305,Monocyte_CD16:ENSG00000233695 +13,31876754,Monocyte_CD16:ENSG00000237637 +13,100152358,Monocyte_CD16:ENSG00000274605 +13,112688857,Monocyte_CD16:ENSG00000274922 +13,112688892,Monocyte_CD16:ENSG00000274922 +13,48975435,Monocyte_CD16:ENSG00000275202 +13,48076585,Monocyte_CD16:ENSG00000276968 +13,110915159,Monocyte_CD16:ENSG00000277767 +13,110918974,Monocyte_CD16:ENSG00000277767 +13,109731177,Monocyte_CD16:ENSG00000285534 +13,40859901,Monocyte_CD16:ENSG00000287837 +6,53505309,Monocyte_CD16:ENSG00000001084 +6,53552007,Monocyte_CD16:ENSG00000001084 +6,53579128,Monocyte_CD16:ENSG00000001084 +6,41128805,Monocyte_CD16:ENSG00000001167 +6,46122653,Monocyte_CD16:ENSG00000001561 +6,46148365,Monocyte_CD16:ENSG00000001561 +6,82247064,Monocyte_CD16:ENSG00000005700 +6,170506960,Monocyte_CD16:ENSG00000008018 +6,36387595,Monocyte_CD16:ENSG00000010030 +6,111919583,Monocyte_CD16:ENSG00000010810 +6,142946640,Monocyte_CD16:ENSG00000010818 +6,53350321,Monocyte_CD16:ENSG00000012660 +6,53445431,Monocyte_CD16:ENSG00000012660 +6,83193331,Monocyte_CD16:ENSG00000013392 +6,96480638,Monocyte_CD16:ENSG00000014123 +6,96588192,Monocyte_CD16:ENSG00000014123 +6,2839499,Monocyte_CD16:ENSG00000021355 +6,2841905,Monocyte_CD16:ENSG00000021355 +6,2870434,Monocyte_CD16:ENSG00000021355 +6,2903350,Monocyte_CD16:ENSG00000021355 +6,35299771,Monocyte_CD16:ENSG00000023892 +6,138591696,Monocyte_CD16:ENSG00000024862 +6,89412271,Monocyte_CD16:ENSG00000025039 +6,122399661,Monocyte_CD16:ENSG00000025156 +6,166950709,Monocyte_CD16:ENSG00000026297 +6,166951355,Monocyte_CD16:ENSG00000026297 +6,166965131,Monocyte_CD16:ENSG00000026297 +6,26401210,Monocyte_CD16:ENSG00000026950 +6,26408721,Monocyte_CD16:ENSG00000026950 +6,26426820,Monocyte_CD16:ENSG00000026950 +6,137219383,Monocyte_CD16:ENSG00000027697 +6,137248925,Monocyte_CD16:ENSG00000027697 +6,137264288,Monocyte_CD16:ENSG00000027697 +6,155286779,Monocyte_CD16:ENSG00000029639 +6,49492265,Monocyte_CD16:ENSG00000031691 +6,15667600,Monocyte_CD16:ENSG00000047579 +6,42196663,Monocyte_CD16:ENSG00000048544 +6,13782127,Monocyte_CD16:ENSG00000050393 +6,138400446,Monocyte_CD16:ENSG00000051620 +6,138405046,Monocyte_CD16:ENSG00000051620 +6,138591696,Monocyte_CD16:ENSG00000051620 +6,149248679,Monocyte_CD16:ENSG00000055208 +6,149563461,Monocyte_CD16:ENSG00000055211 +6,106254472,Monocyte_CD16:ENSG00000057663 +6,166258927,Monocyte_CD16:ENSG00000060762 +6,166338202,Monocyte_CD16:ENSG00000060762 +6,166382498,Monocyte_CD16:ENSG00000060762 +6,34883434,Monocyte_CD16:ENSG00000064995 +6,34914211,Monocyte_CD16:ENSG00000064999 +6,34844277,Monocyte_CD16:ENSG00000065060 +6,52582482,Monocyte_CD16:ENSG00000065308 +6,52595142,Monocyte_CD16:ENSG00000065308 +6,83878413,Monocyte_CD16:ENSG00000065615 +6,125961140,Monocyte_CD16:ENSG00000066651 +6,170583831,Monocyte_CD16:ENSG00000071994 +6,154194347,Monocyte_CD16:ENSG00000074706 +6,154340498,Monocyte_CD16:ENSG00000074706 +6,154357213,Monocyte_CD16:ENSG00000074706 +6,25278930,Monocyte_CD16:ENSG00000079691 +6,25331009,Monocyte_CD16:ENSG00000079691 +6,131045318,Monocyte_CD16:ENSG00000079819 +6,132463883,Monocyte_CD16:ENSG00000079950 +6,73394834,Monocyte_CD16:ENSG00000080007 +6,108038611,Monocyte_CD16:ENSG00000081087 +6,83078292,Monocyte_CD16:ENSG00000083097 +6,160979180,Monocyte_CD16:ENSG00000085511 +6,158675936,Monocyte_CD16:ENSG00000092820 +6,158715706,Monocyte_CD16:ENSG00000092820 +6,158769768,Monocyte_CD16:ENSG00000092820 +6,158849316,Monocyte_CD16:ENSG00000092820 +6,158851223,Monocyte_CD16:ENSG00000092820 +6,158860165,Monocyte_CD16:ENSG00000092820 +6,158973953,Monocyte_CD16:ENSG00000092820 +6,127229421,Monocyte_CD16:ENSG00000093144 +6,127457700,Monocyte_CD16:ENSG00000093144 +6,12027402,Monocyte_CD16:ENSG00000095951 +6,35627064,Monocyte_CD16:ENSG00000096060 +6,44248216,Monocyte_CD16:ENSG00000096384 +6,26408721,Monocyte_CD16:ENSG00000111801 +6,24684793,Monocyte_CD16:ENSG00000111802 +6,116369686,Monocyte_CD16:ENSG00000111817 +6,116440936,Monocyte_CD16:ENSG00000111817 +6,116462456,Monocyte_CD16:ENSG00000111817 +6,116494988,Monocyte_CD16:ENSG00000111817 +6,116571518,Monocyte_CD16:ENSG00000111832 +6,10838551,Monocyte_CD16:ENSG00000111837 +6,10723216,Monocyte_CD16:ENSG00000111843 +6,10535358,Monocyte_CD16:ENSG00000111846 +6,87138149,Monocyte_CD16:ENSG00000111850 +6,11326788,Monocyte_CD16:ENSG00000111859 +6,11367487,Monocyte_CD16:ENSG00000111859 +6,118604418,Monocyte_CD16:ENSG00000111860 +6,118759216,Monocyte_CD16:ENSG00000111860 +6,118763426,Monocyte_CD16:ENSG00000111860 +6,118776995,Monocyte_CD16:ENSG00000111860 +6,118894738,Monocyte_CD16:ENSG00000111875 +6,118894738,Monocyte_CD16:ENSG00000111877 +6,88963194,Monocyte_CD16:ENSG00000111880 +6,119437547,Monocyte_CD16:ENSG00000111885 +6,89320728,Monocyte_CD16:ENSG00000111886 +6,122710243,Monocyte_CD16:ENSG00000111897 +6,125275811,Monocyte_CD16:ENSG00000111906 +6,125301686,Monocyte_CD16:ENSG00000111906 +6,125302128,Monocyte_CD16:ENSG00000111906 +6,125814747,Monocyte_CD16:ENSG00000111912 +6,24811478,Monocyte_CD16:ENSG00000111913 +6,24868683,Monocyte_CD16:ENSG00000111913 +6,148326540,Monocyte_CD16:ENSG00000111961 +6,148349349,Monocyte_CD16:ENSG00000111961 +6,148381708,Monocyte_CD16:ENSG00000111961 +6,152998433,Monocyte_CD16:ENSG00000112031 +6,36032340,Monocyte_CD16:ENSG00000112062 +6,36557386,Monocyte_CD16:ENSG00000112078 +6,36534809,Monocyte_CD16:ENSG00000112079 +6,159655913,Monocyte_CD16:ENSG00000112096 +6,159790613,Monocyte_CD16:ENSG00000112110 +6,159829675,Monocyte_CD16:ENSG00000112110 +6,13260221,Monocyte_CD16:ENSG00000112137 +6,53098339,Monocyte_CD16:ENSG00000112146 +6,39143709,Monocyte_CD16:ENSG00000112167 +6,41205247,Monocyte_CD16:ENSG00000112195 +6,57211754,Monocyte_CD16:ENSG00000112210 +6,62377169,Monocyte_CD16:ENSG00000112232 +6,100815608,Monocyte_CD16:ENSG00000112249 +6,110182584,Monocyte_CD16:ENSG00000112290 +6,106539703,Monocyte_CD16:ENSG00000112297 +6,132714186,Monocyte_CD16:ENSG00000112299 +6,132750716,Monocyte_CD16:ENSG00000112299 +6,132743457,Monocyte_CD16:ENSG00000112303 +6,132748081,Monocyte_CD16:ENSG00000112303 +6,132751610,Monocyte_CD16:ENSG00000112303 +6,132754302,Monocyte_CD16:ENSG00000112303 +6,132755780,Monocyte_CD16:ENSG00000112303 +6,24666092,Monocyte_CD16:ENSG00000112304 +6,70668485,Monocyte_CD16:ENSG00000112305 +6,132814557,Monocyte_CD16:ENSG00000112306 +6,24668807,Monocyte_CD16:ENSG00000112308 +6,24753160,Monocyte_CD16:ENSG00000112308 +6,70819214,Monocyte_CD16:ENSG00000112309 +6,24709490,Monocyte_CD16:ENSG00000112312 +6,108249781,Monocyte_CD16:ENSG00000112335 +6,134998925,Monocyte_CD16:ENSG00000112339 +6,25955641,Monocyte_CD16:ENSG00000112343 +6,25992051,Monocyte_CD16:ENSG00000112343 +6,26037373,Monocyte_CD16:ENSG00000112343 +6,26070475,Monocyte_CD16:ENSG00000112343 +6,136848364,Monocyte_CD16:ENSG00000112357 +6,139137817,Monocyte_CD16:ENSG00000112406 +6,143541907,Monocyte_CD16:ENSG00000112419 +6,143548048,Monocyte_CD16:ENSG00000112419 +6,143687224,Monocyte_CD16:ENSG00000112419 +6,163658364,Monocyte_CD16:ENSG00000112531 +6,41706362,Monocyte_CD16:ENSG00000112561 +6,170306290,Monocyte_CD16:ENSG00000112584 +6,43211474,Monocyte_CD16:ENSG00000112667 +6,43224531,Monocyte_CD16:ENSG00000112667 +6,43226209,Monocyte_CD16:ENSG00000112667 +6,43294966,Monocyte_CD16:ENSG00000112667 +6,244951,Monocyte_CD16:ENSG00000112679 +6,521147,Monocyte_CD16:ENSG00000112685 +6,692805,Monocyte_CD16:ENSG00000112685 +6,75565109,Monocyte_CD16:ENSG00000112701 +6,75609206,Monocyte_CD16:ENSG00000112701 +6,75655779,Monocyte_CD16:ENSG00000112701 +6,3371057,Monocyte_CD16:ENSG00000112739 +6,44218164,Monocyte_CD16:ENSG00000112759 +6,26458297,Monocyte_CD16:ENSG00000112763 +6,6578784,Monocyte_CD16:ENSG00000112799 +6,6588648,Monocyte_CD16:ENSG00000112799 +6,6592241,Monocyte_CD16:ENSG00000112799 +6,6595299,Monocyte_CD16:ENSG00000112799 +6,6596878,Monocyte_CD16:ENSG00000112799 +6,79234273,Monocyte_CD16:ENSG00000118418 +6,144047761,Monocyte_CD16:ENSG00000118495 +6,144064640,Monocyte_CD16:ENSG00000118495 +6,131139788,Monocyte_CD16:ENSG00000118507 +6,146606680,Monocyte_CD16:ENSG00000118508 +6,134236251,Monocyte_CD16:ENSG00000118515 +6,134748055,Monocyte_CD16:ENSG00000118515 +6,127457700,Monocyte_CD16:ENSG00000118518 +6,71253052,Monocyte_CD16:ENSG00000119900 +6,149645456,Monocyte_CD16:ENSG00000120253 +6,151509463,Monocyte_CD16:ENSG00000120262 +6,151512640,Monocyte_CD16:ENSG00000120262 +6,151534608,Monocyte_CD16:ENSG00000120262 +6,151586912,Monocyte_CD16:ENSG00000120262 +6,149563461,Monocyte_CD16:ENSG00000120265 +6,159829675,Monocyte_CD16:ENSG00000120438 +6,158142039,Monocyte_CD16:ENSG00000122335 +6,110872219,Monocyte_CD16:ENSG00000123505 +6,99523553,Monocyte_CD16:ENSG00000123552 +6,6331640,Monocyte_CD16:ENSG00000124491 +6,42316359,Monocyte_CD16:ENSG00000124496 +6,26404146,Monocyte_CD16:ENSG00000124508 +6,24422921,Monocyte_CD16:ENSG00000124532 +6,33904300,Monocyte_CD16:ENSG00000124562 +6,34757878,Monocyte_CD16:ENSG00000124562 +6,2943472,Monocyte_CD16:ENSG00000124570 +6,2951921,Monocyte_CD16:ENSG00000124570 +6,2985020,Monocyte_CD16:ENSG00000124570 +6,43477112,Monocyte_CD16:ENSG00000124574 +6,26230257,Monocyte_CD16:ENSG00000124575 +6,42963523,Monocyte_CD16:ENSG00000124587 +6,42994182,Monocyte_CD16:ENSG00000124587 +6,3003736,Monocyte_CD16:ENSG00000124588 +6,3009710,Monocyte_CD16:ENSG00000124588 +6,3024349,Monocyte_CD16:ENSG00000124588 +6,34430582,Monocyte_CD16:ENSG00000124614 +6,39934461,Monocyte_CD16:ENSG00000124615 +6,42963523,Monocyte_CD16:ENSG00000124713 +6,41237753,Monocyte_CD16:ENSG00000124731 +6,41272198,Monocyte_CD16:ENSG00000124731 +6,41274462,Monocyte_CD16:ENSG00000124731 +6,41303105,Monocyte_CD16:ENSG00000124731 +6,36735913,Monocyte_CD16:ENSG00000124762 +6,36755927,Monocyte_CD16:ENSG00000124762 +6,21163900,Monocyte_CD16:ENSG00000124766 +6,21173260,Monocyte_CD16:ENSG00000124766 +6,38694694,Monocyte_CD16:ENSG00000124767 +6,36755927,Monocyte_CD16:ENSG00000124772 +6,7221210,Monocyte_CD16:ENSG00000124782 +6,7325457,Monocyte_CD16:ENSG00000124783 +6,5997108,Monocyte_CD16:ENSG00000124785 +6,16694249,Monocyte_CD16:ENSG00000124788 +6,16757771,Monocyte_CD16:ENSG00000124788 +6,8071439,Monocyte_CD16:ENSG00000124802 +6,44623269,Monocyte_CD16:ENSG00000124813 +6,169696855,Monocyte_CD16:ENSG00000130024 +6,158232978,Monocyte_CD16:ENSG00000130338 +6,106629627,Monocyte_CD16:ENSG00000130347 +6,106629627,Monocyte_CD16:ENSG00000130348 +6,158978316,Monocyte_CD16:ENSG00000130363 +6,158999770,Monocyte_CD16:ENSG00000130363 +6,167706443,Monocyte_CD16:ENSG00000130396 +6,167791438,Monocyte_CD16:ENSG00000130396 +6,167960680,Monocyte_CD16:ENSG00000130396 +6,152293038,Monocyte_CD16:ENSG00000131018 +6,68740973,Monocyte_CD16:ENSG00000135298 +6,87321226,Monocyte_CD16:ENSG00000135336 +6,87591644,Monocyte_CD16:ENSG00000135336 +6,136365927,Monocyte_CD16:ENSG00000135525 +6,109291993,Monocyte_CD16:ENSG00000135535 +6,109357496,Monocyte_CD16:ENSG00000135535 +6,138591696,Monocyte_CD16:ENSG00000135540 +6,135497759,Monocyte_CD16:ENSG00000135541 +6,122710243,Monocyte_CD16:ENSG00000135549 +6,109441033,Monocyte_CD16:ENSG00000135587 +6,109795663,Monocyte_CD16:ENSG00000135596 +6,138968878,Monocyte_CD16:ENSG00000135597 +6,144163467,Monocyte_CD16:ENSG00000135604 +6,42933382,Monocyte_CD16:ENSG00000137161 +6,40999143,Monocyte_CD16:ENSG00000137166 +6,17974662,Monocyte_CD16:ENSG00000137177 +6,16213229,Monocyte_CD16:ENSG00000137198 +6,396321,Monocyte_CD16:ENSG00000137265 +6,3370535,Monocyte_CD16:ENSG00000137266 +6,3157575,Monocyte_CD16:ENSG00000137267 +6,34222672,Monocyte_CD16:ENSG00000137309 +6,18142058,Monocyte_CD16:ENSG00000137364 +6,18153099,Monocyte_CD16:ENSG00000137364 +6,18160866,Monocyte_CD16:ENSG00000137364 +6,18173287,Monocyte_CD16:ENSG00000137364 +6,18330550,Monocyte_CD16:ENSG00000137393 +6,18399163,Monocyte_CD16:ENSG00000137393 +6,18412238,Monocyte_CD16:ENSG00000137393 +6,18467009,Monocyte_CD16:ENSG00000137393 +6,36968435,Monocyte_CD16:ENSG00000137409 +6,3855412,Monocyte_CD16:ENSG00000145945 +6,13333518,Monocyte_CD16:ENSG00000145979 +6,5261233,Monocyte_CD16:ENSG00000145982 +6,13392835,Monocyte_CD16:ENSG00000145990 +6,20891560,Monocyte_CD16:ENSG00000145996 +6,46771074,Monocyte_CD16:ENSG00000146070 +6,49486568,Monocyte_CD16:ENSG00000146085 +6,26599928,Monocyte_CD16:ENSG00000146109 +6,37009125,Monocyte_CD16:ENSG00000146192 +6,37022408,Monocyte_CD16:ENSG00000146192 +6,37029064,Monocyte_CD16:ENSG00000146192 +6,37063369,Monocyte_CD16:ENSG00000146192 +6,43294966,Monocyte_CD16:ENSG00000146215 +6,43417544,Monocyte_CD16:ENSG00000146215 +6,42888761,Monocyte_CD16:ENSG00000146223 +6,82364851,Monocyte_CD16:ENSG00000146242 +6,78863205,Monocyte_CD16:ENSG00000146247 +6,97293556,Monocyte_CD16:ENSG00000146263 +6,89062988,Monocyte_CD16:ENSG00000146278 +6,89116527,Monocyte_CD16:ENSG00000146278 +6,129685725,Monocyte_CD16:ENSG00000146376 +6,138968878,Monocyte_CD16:ENSG00000146386 +6,139029028,Monocyte_CD16:ENSG00000146386 +6,139029045,Monocyte_CD16:ENSG00000146386 +6,139033855,Monocyte_CD16:ENSG00000146386 +6,139043303,Monocyte_CD16:ENSG00000146386 +6,132810276,Monocyte_CD16:ENSG00000146409 +6,143063828,Monocyte_CD16:ENSG00000146416 +6,158644140,Monocyte_CD16:ENSG00000146425 +6,158662595,Monocyte_CD16:ENSG00000146433 +6,159761764,Monocyte_CD16:ENSG00000146457 +6,151461409,Monocyte_CD16:ENSG00000146476 +6,151509463,Monocyte_CD16:ENSG00000146476 +6,151512640,Monocyte_CD16:ENSG00000146476 +6,56362609,Monocyte_CD16:ENSG00000151914 +6,56671395,Monocyte_CD16:ENSG00000151914 +6,56710873,Monocyte_CD16:ENSG00000151914 +6,56838950,Monocyte_CD16:ENSG00000151914 +6,56932776,Monocyte_CD16:ENSG00000151914 +6,144677157,Monocyte_CD16:ENSG00000152818 +6,144680751,Monocyte_CD16:ENSG00000152818 +6,10887020,Monocyte_CD16:ENSG00000153157 +6,70593692,Monocyte_CD16:ENSG00000154079 +6,109691071,Monocyte_CD16:ENSG00000155085 +6,110847721,Monocyte_CD16:ENSG00000155115 +6,151492343,Monocyte_CD16:ENSG00000155906 +6,73544972,Monocyte_CD16:ENSG00000156508 +6,73695791,Monocyte_CD16:ENSG00000156535 +6,37819250,Monocyte_CD16:ENSG00000156639 +6,87600803,Monocyte_CD16:ENSG00000164414 +6,73445623,Monocyte_CD16:ENSG00000164430 +6,139446309,Monocyte_CD16:ENSG00000164442 +6,117463495,Monocyte_CD16:ENSG00000164465 +6,117470000,Monocyte_CD16:ENSG00000164465 +6,107179843,Monocyte_CD16:ENSG00000164494 +6,41871079,Monocyte_CD16:ENSG00000164663 +6,158644140,Monocyte_CD16:ENSG00000164674 +6,159027257,Monocyte_CD16:ENSG00000164691 +6,18131816,Monocyte_CD16:ENSG00000165097 +6,18160828,Monocyte_CD16:ENSG00000165097 +6,18170241,Monocyte_CD16:ENSG00000165097 +6,57111371,Monocyte_CD16:ENSG00000168116 +6,110094915,Monocyte_CD16:ENSG00000168438 +6,110182584,Monocyte_CD16:ENSG00000168438 +6,110219670,Monocyte_CD16:ENSG00000168438 +6,4626398,Monocyte_CD16:ENSG00000168994 +6,144071249,Monocyte_CD16:ENSG00000169976 +6,2865103,Monocyte_CD16:ENSG00000170542 +6,2872686,Monocyte_CD16:ENSG00000170542 +6,2876301,Monocyte_CD16:ENSG00000170542 +6,2881735,Monocyte_CD16:ENSG00000170542 +6,52968130,Monocyte_CD16:ENSG00000170899 +6,52981971,Monocyte_CD16:ENSG00000170899 +6,52352577,Monocyte_CD16:ENSG00000170915 +6,52355995,Monocyte_CD16:ENSG00000170915 +6,52362907,Monocyte_CD16:ENSG00000170915 +6,43280848,Monocyte_CD16:ENSG00000171467 +6,20169775,Monocyte_CD16:ENSG00000172197 +6,95577149,Monocyte_CD16:ENSG00000172469 +6,95577512,Monocyte_CD16:ENSG00000172469 +6,95586684,Monocyte_CD16:ENSG00000172469 +6,122710243,Monocyte_CD16:ENSG00000172594 +6,111259358,Monocyte_CD16:ENSG00000173214 +6,157443937,Monocyte_CD16:ENSG00000175048 +6,149234985,Monocyte_CD16:ENSG00000177688 +6,149490760,Monocyte_CD16:ENSG00000178199 +6,116103490,Monocyte_CD16:ENSG00000178425 +6,26124202,Monocyte_CD16:ENSG00000180596 +6,44124800,Monocyte_CD16:ENSG00000180992 +6,26538315,Monocyte_CD16:ENSG00000182952 +6,108966899,Monocyte_CD16:ENSG00000183137 +6,169702171,Monocyte_CD16:ENSG00000185127 +6,26351276,Monocyte_CD16:ENSG00000186470 +6,26366283,Monocyte_CD16:ENSG00000186470 +6,26384189,Monocyte_CD16:ENSG00000186470 +6,26387318,Monocyte_CD16:ENSG00000186470 +6,26391167,Monocyte_CD16:ENSG00000186470 +6,26414450,Monocyte_CD16:ENSG00000186470 +6,26475732,Monocyte_CD16:ENSG00000186470 +6,26486941,Monocyte_CD16:ENSG00000186470 +6,26489379,Monocyte_CD16:ENSG00000186470 +6,27072494,Monocyte_CD16:ENSG00000186470 +6,28166590,Monocyte_CD16:ENSG00000187626 +6,26056710,Monocyte_CD16:ENSG00000187837 +6,41226119,Monocyte_CD16:ENSG00000188056 +6,41228171,Monocyte_CD16:ENSG00000188056 +6,8012800,Monocyte_CD16:ENSG00000188428 +6,116462167,Monocyte_CD16:ENSG00000188820 +6,116462227,Monocyte_CD16:ENSG00000188820 +6,116462456,Monocyte_CD16:ENSG00000188820 +6,116519720,Monocyte_CD16:ENSG00000188820 +6,116537070,Monocyte_CD16:ENSG00000188820 +6,34624313,Monocyte_CD16:ENSG00000196821 +6,26079410,Monocyte_CD16:ENSG00000197061 +6,26194174,Monocyte_CD16:ENSG00000197409 +6,110978477,Monocyte_CD16:ENSG00000197498 +6,47441975,Monocyte_CD16:ENSG00000198087 +6,47469961,Monocyte_CD16:ENSG00000198087 +6,47501665,Monocyte_CD16:ENSG00000198087 +6,150169334,Monocyte_CD16:ENSG00000198729 +6,35469145,Monocyte_CD16:ENSG00000198755 +6,35469148,Monocyte_CD16:ENSG00000198755 +6,166337928,Monocyte_CD16:ENSG00000198818 +6,89350591,Monocyte_CD16:ENSG00000198833 +6,129875607,Monocyte_CD16:ENSG00000198945 +6,138968878,Monocyte_CD16:ENSG00000203734 +6,126554225,Monocyte_CD16:ENSG00000203760 +6,110420955,Monocyte_CD16:ENSG00000203797 +6,87602913,Monocyte_CD16:ENSG00000203872 +6,85678170,Monocyte_CD16:ENSG00000203875 +6,11569367,Monocyte_CD16:ENSG00000205269 +6,5260461,Monocyte_CD16:ENSG00000214113 +6,5261233,Monocyte_CD16:ENSG00000214113 +6,41846271,Monocyte_CD16:ENSG00000214736 +6,157292745,Monocyte_CD16:ENSG00000215712 +6,5061360,Monocyte_CD16:ENSG00000219607 +6,138591696,Monocyte_CD16:ENSG00000225177 +6,138696989,Monocyte_CD16:ENSG00000225177 +6,34332593,Monocyte_CD16:ENSG00000225339 +6,52590246,Monocyte_CD16:ENSG00000225791 +6,75294846,Monocyte_CD16:ENSG00000225793 +6,169217995,Monocyte_CD16:ENSG00000226445 +6,111908645,Monocyte_CD16:ENSG00000227012 +6,170272132,Monocyte_CD16:ENSG00000227508 +6,26521207,Monocyte_CD16:ENSG00000228223 +6,99430743,Monocyte_CD16:ENSG00000228506 +6,2860595,Monocyte_CD16:ENSG00000230438 +6,2870434,Monocyte_CD16:ENSG00000230438 +6,2876112,Monocyte_CD16:ENSG00000230438 +6,2877872,Monocyte_CD16:ENSG00000230438 +6,2878374,Monocyte_CD16:ENSG00000230438 +6,68585634,Monocyte_CD16:ENSG00000230910 +6,68740973,Monocyte_CD16:ENSG00000230910 +6,135497759,Monocyte_CD16:ENSG00000231028 +6,169164097,Monocyte_CD16:ENSG00000232640 +6,140898401,Monocyte_CD16:ENSG00000234147 +6,140939234,Monocyte_CD16:ENSG00000234147 +6,141013486,Monocyte_CD16:ENSG00000234147 +6,7255330,Monocyte_CD16:ENSG00000238221 +6,7910202,Monocyte_CD16:ENSG00000239264 +6,36701206,Monocyte_CD16:ENSG00000255587 +6,36755927,Monocyte_CD16:ENSG00000255587 +6,109715504,Monocyte_CD16:ENSG00000260273 +6,95577149,Monocyte_CD16:ENSG00000261366 +6,95586684,Monocyte_CD16:ENSG00000261366 +6,166258927,Monocyte_CD16:ENSG00000261420 +6,145632202,Monocyte_CD16:ENSG00000270638 +6,28166590,Monocyte_CD16:ENSG00000272009 +6,158097976,Monocyte_CD16:ENSG00000272047 +6,158178656,Monocyte_CD16:ENSG00000272047 +6,158184657,Monocyte_CD16:ENSG00000272047 +6,22063113,Monocyte_CD16:ENSG00000272168 +6,135916671,Monocyte_CD16:ENSG00000272189 +6,3068823,Monocyte_CD16:ENSG00000272277 +6,1529224,Monocyte_CD16:ENSG00000272279 +6,13288416,Monocyte_CD16:ENSG00000272379 +6,25992051,Monocyte_CD16:ENSG00000272462 +6,711150,Monocyte_CD16:ENSG00000272463 +6,26394092,Monocyte_CD16:ENSG00000272468 +6,25147720,Monocyte_CD16:ENSG00000272810 +6,26242549,Monocyte_CD16:ENSG00000274618 +6,26208728,Monocyte_CD16:ENSG00000274750 +6,26079410,Monocyte_CD16:ENSG00000275714 +6,26033581,Monocyte_CD16:ENSG00000276410 +6,26206946,Monocyte_CD16:ENSG00000277224 +6,113411193,Monocyte_CD16:ENSG00000277443 +6,99523553,Monocyte_CD16:ENSG00000279170 +6,99569280,Monocyte_CD16:ENSG00000279170 +6,99573680,Monocyte_CD16:ENSG00000279170 +6,149247058,Monocyte_CD16:ENSG00000283608 +6,8435650,Monocyte_CD16:ENSG00000285219 +6,159121284,Monocyte_CD16:ENSG00000285492 +6,36755927,Monocyte_CD16:ENSG00000285888 +6,104774024,Monocyte_CD16:ENSG00000286084 +6,136777814,Monocyte_CD16:ENSG00000286646 +6,166308786,Monocyte_CD16:ENSG00000286760 +9,33744370,Monocyte_CD16:ENSG00000010438 +9,122942664,Monocyte_CD16:ENSG00000011454 +9,17144428,Monocyte_CD16:ENSG00000044459 +9,93466540,Monocyte_CD16:ENSG00000048828 +9,136849430,Monocyte_CD16:ENSG00000054148 +9,136877386,Monocyte_CD16:ENSG00000054148 +9,120915851,Monocyte_CD16:ENSG00000056558 +9,123089081,Monocyte_CD16:ENSG00000056586 +9,35739658,Monocyte_CD16:ENSG00000070610 +9,86359675,Monocyte_CD16:ENSG00000083223 +9,86365298,Monocyte_CD16:ENSG00000083223 +9,134917115,Monocyte_CD16:ENSG00000085265 +9,134921201,Monocyte_CD16:ENSG00000085265 +9,134935104,Monocyte_CD16:ENSG00000085265 +9,134965600,Monocyte_CD16:ENSG00000085265 +9,33036114,Monocyte_CD16:ENSG00000086061 +9,120848010,Monocyte_CD16:ENSG00000095261 +9,129157902,Monocyte_CD16:ENSG00000095321 +9,98225635,Monocyte_CD16:ENSG00000095383 +9,27032334,Monocyte_CD16:ENSG00000096872 +9,5076547,Monocyte_CD16:ENSG00000096968 +9,75872327,Monocyte_CD16:ENSG00000099139 +9,5737544,Monocyte_CD16:ENSG00000099219 +9,21725241,Monocyte_CD16:ENSG00000099810 +9,105490729,Monocyte_CD16:ENSG00000106701 +9,75092384,Monocyte_CD16:ENSG00000106733 +9,109027678,Monocyte_CD16:ENSG00000106771 +9,109120085,Monocyte_CD16:ENSG00000106771 +9,76705724,Monocyte_CD16:ENSG00000106772 +9,120729397,Monocyte_CD16:ENSG00000106780 +9,120848010,Monocyte_CD16:ENSG00000106780 +9,98117017,Monocyte_CD16:ENSG00000106785 +9,98122244,Monocyte_CD16:ENSG00000106785 +9,98122282,Monocyte_CD16:ENSG00000106785 +9,98117017,Monocyte_CD16:ENSG00000106789 +9,98119243,Monocyte_CD16:ENSG00000106789 +9,98120227,Monocyte_CD16:ENSG00000106789 +9,98122244,Monocyte_CD16:ENSG00000106789 +9,98195723,Monocyte_CD16:ENSG00000106789 +9,99153605,Monocyte_CD16:ENSG00000106799 +9,99223386,Monocyte_CD16:ENSG00000106803 +9,121071177,Monocyte_CD16:ENSG00000106804 +9,79572180,Monocyte_CD16:ENSG00000106829 +9,112113785,Monocyte_CD16:ENSG00000106868 +9,112175409,Monocyte_CD16:ENSG00000106868 +9,114373724,Monocyte_CD16:ENSG00000106948 +9,114881082,Monocyte_CD16:ENSG00000106952 +9,127862444,Monocyte_CD16:ENSG00000106991 +9,5644817,Monocyte_CD16:ENSG00000107018 +9,5381766,Monocyte_CD16:ENSG00000107020 +9,6716393,Monocyte_CD16:ENSG00000107077 +9,212427,Monocyte_CD16:ENSG00000107099 +9,272854,Monocyte_CD16:ENSG00000107099 +9,370124,Monocyte_CD16:ENSG00000107099 +9,706534,Monocyte_CD16:ENSG00000107104 +9,35739658,Monocyte_CD16:ENSG00000107175 +9,68560649,Monocyte_CD16:ENSG00000107242 +9,4297847,Monocyte_CD16:ENSG00000107249 +9,131690577,Monocyte_CD16:ENSG00000107263 +9,132350893,Monocyte_CD16:ENSG00000107290 +9,38001837,Monocyte_CD16:ENSG00000107338 +9,33992665,Monocyte_CD16:ENSG00000107341 +9,72301176,Monocyte_CD16:ENSG00000107372 +9,72390270,Monocyte_CD16:ENSG00000107372 +9,72864135,Monocyte_CD16:ENSG00000107372 +9,70409605,Monocyte_CD16:ENSG00000119138 +9,70412160,Monocyte_CD16:ENSG00000119138 +9,69156023,Monocyte_CD16:ENSG00000119139 +9,69158506,Monocyte_CD16:ENSG00000119139 +9,69174775,Monocyte_CD16:ENSG00000119139 +9,112113785,Monocyte_CD16:ENSG00000119314 +9,113187876,Monocyte_CD16:ENSG00000119321 +9,113202286,Monocyte_CD16:ENSG00000119321 +9,113206071,Monocyte_CD16:ENSG00000119321 +9,109015077,Monocyte_CD16:ENSG00000119326 +9,129083737,Monocyte_CD16:ENSG00000119383 +9,121249733,Monocyte_CD16:ENSG00000119396 +9,121071177,Monocyte_CD16:ENSG00000119397 +9,121072022,Monocyte_CD16:ENSG00000119397 +9,120869364,Monocyte_CD16:ENSG00000119403 +9,124223579,Monocyte_CD16:ENSG00000119408 +9,125165548,Monocyte_CD16:ENSG00000119414 +9,122144177,Monocyte_CD16:ENSG00000119421 +9,113377121,Monocyte_CD16:ENSG00000119431 +9,112878699,Monocyte_CD16:ENSG00000119457 +9,112890746,Monocyte_CD16:ENSG00000119457 +9,112379694,Monocyte_CD16:ENSG00000119471 +9,36137584,Monocyte_CD16:ENSG00000122694 +9,36163934,Monocyte_CD16:ENSG00000122694 +9,89348767,Monocyte_CD16:ENSG00000123975 +9,131204511,Monocyte_CD16:ENSG00000126883 +9,131236005,Monocyte_CD16:ENSG00000126883 +9,93037920,Monocyte_CD16:ENSG00000127084 +9,134917115,Monocyte_CD16:ENSG00000130558 +9,134965600,Monocyte_CD16:ENSG00000130558 +9,135868169,Monocyte_CD16:ENSG00000130559 +9,135948231,Monocyte_CD16:ENSG00000130560 +9,130993326,Monocyte_CD16:ENSG00000130720 +9,130996070,Monocyte_CD16:ENSG00000130720 +9,96384751,Monocyte_CD16:ENSG00000130958 +9,93121503,Monocyte_CD16:ENSG00000131669 +9,75087619,Monocyte_CD16:ENSG00000134996 +9,75149920,Monocyte_CD16:ENSG00000134996 +9,76393728,Monocyte_CD16:ENSG00000135002 +9,73150082,Monocyte_CD16:ENSG00000135046 +9,73202830,Monocyte_CD16:ENSG00000135046 +9,73237291,Monocyte_CD16:ENSG00000135046 +9,87571290,Monocyte_CD16:ENSG00000135047 +9,87725948,Monocyte_CD16:ENSG00000135047 +9,87840377,Monocyte_CD16:ENSG00000135047 +9,71749965,Monocyte_CD16:ENSG00000135048 +9,85715736,Monocyte_CD16:ENSG00000135049 +9,85920316,Monocyte_CD16:ENSG00000135052 +9,86078696,Monocyte_CD16:ENSG00000135052 +9,86099574,Monocyte_CD16:ENSG00000135052 +9,86263457,Monocyte_CD16:ENSG00000135070 +9,104747419,Monocyte_CD16:ENSG00000136783 +9,104757046,Monocyte_CD16:ENSG00000136783 +9,110256475,Monocyte_CD16:ENSG00000136810 +9,110283871,Monocyte_CD16:ENSG00000136810 +9,129804387,Monocyte_CD16:ENSG00000136816 +9,129834783,Monocyte_CD16:ENSG00000136819 +9,104092312,Monocyte_CD16:ENSG00000136824 +9,107618152,Monocyte_CD16:ENSG00000136826 +9,129794931,Monocyte_CD16:ENSG00000136827 +9,126976397,Monocyte_CD16:ENSG00000136828 +9,127178100,Monocyte_CD16:ENSG00000136828 +9,127572892,Monocyte_CD16:ENSG00000136830 +9,127966874,Monocyte_CD16:ENSG00000136840 +9,97575671,Monocyte_CD16:ENSG00000136842 +9,127352085,Monocyte_CD16:ENSG00000136856 +9,113091809,Monocyte_CD16:ENSG00000136866 +9,113125712,Monocyte_CD16:ENSG00000136867 +9,113126683,Monocyte_CD16:ENSG00000136867 +9,113167885,Monocyte_CD16:ENSG00000136868 +9,113223219,Monocyte_CD16:ENSG00000136868 +9,113261699,Monocyte_CD16:ENSG00000136868 +9,117714087,Monocyte_CD16:ENSG00000136869 +9,101421687,Monocyte_CD16:ENSG00000136870 +9,99959397,Monocyte_CD16:ENSG00000136874 +9,113275614,Monocyte_CD16:ENSG00000136875 +9,114607691,Monocyte_CD16:ENSG00000136888 +9,127984070,Monocyte_CD16:ENSG00000136908 +9,98692629,Monocyte_CD16:ENSG00000136929 +9,124360479,Monocyte_CD16:ENSG00000136930 +9,98035315,Monocyte_CD16:ENSG00000136938 +9,7799723,Monocyte_CD16:ENSG00000137038 +9,37496314,Monocyte_CD16:ENSG00000137054 +9,34627336,Monocyte_CD16:ENSG00000137070 +9,36337464,Monocyte_CD16:ENSG00000137075 +9,35739658,Monocyte_CD16:ENSG00000137076 +9,37422527,Monocyte_CD16:ENSG00000137106 +9,19184358,Monocyte_CD16:ENSG00000137145 +9,19235534,Monocyte_CD16:ENSG00000137145 +9,19376048,Monocyte_CD16:ENSG00000137154 +9,19380197,Monocyte_CD16:ENSG00000137154 +9,19380238,Monocyte_CD16:ENSG00000137154 +9,113601440,Monocyte_CD16:ENSG00000138835 +9,4741173,Monocyte_CD16:ENSG00000147853 +9,19119238,Monocyte_CD16:ENSG00000147872 +9,19119950,Monocyte_CD16:ENSG00000147872 +9,22007859,Monocyte_CD16:ENSG00000147883 +9,22007859,Monocyte_CD16:ENSG00000147889 +9,27565716,Monocyte_CD16:ENSG00000147894 +9,27599381,Monocyte_CD16:ENSG00000147894 +9,27690821,Monocyte_CD16:ENSG00000147894 +9,34635019,Monocyte_CD16:ENSG00000147955 +9,94366722,Monocyte_CD16:ENSG00000148110 +9,112864638,Monocyte_CD16:ENSG00000148158 +9,121249733,Monocyte_CD16:ENSG00000148175 +9,121358991,Monocyte_CD16:ENSG00000148175 +9,121370602,Monocyte_CD16:ENSG00000148175 +9,121249733,Monocyte_CD16:ENSG00000148180 +9,121251997,Monocyte_CD16:ENSG00000148180 +9,113514704,Monocyte_CD16:ENSG00000148229 +9,133163943,Monocyte_CD16:ENSG00000148288 +9,133356490,Monocyte_CD16:ENSG00000148290 +9,133370663,Monocyte_CD16:ENSG00000148290 +9,133356490,Monocyte_CD16:ENSG00000148291 +9,133331550,Monocyte_CD16:ENSG00000148296 +9,133337361,Monocyte_CD16:ENSG00000148296 +9,133337361,Monocyte_CD16:ENSG00000148297 +9,133337361,Monocyte_CD16:ENSG00000148303 +9,128053969,Monocyte_CD16:ENSG00000148339 +9,129028426,Monocyte_CD16:ENSG00000148341 +9,128507953,Monocyte_CD16:ENSG00000148343 +9,129757330,Monocyte_CD16:ENSG00000148344 +9,129762616,Monocyte_CD16:ENSG00000148344 +9,129770607,Monocyte_CD16:ENSG00000148344 +9,129776150,Monocyte_CD16:ENSG00000148344 +9,129402692,Monocyte_CD16:ENSG00000148358 +9,136561901,Monocyte_CD16:ENSG00000148400 +9,136039044,Monocyte_CD16:ENSG00000148411 +9,136091824,Monocyte_CD16:ENSG00000148411 +9,68560649,Monocyte_CD16:ENSG00000154330 +9,15296759,Monocyte_CD16:ENSG00000155158 +9,15304728,Monocyte_CD16:ENSG00000155158 +9,78023249,Monocyte_CD16:ENSG00000156052 +9,93034815,Monocyte_CD16:ENSG00000157303 +9,93056352,Monocyte_CD16:ENSG00000157303 +9,35656862,Monocyte_CD16:ENSG00000159884 +9,133786507,Monocyte_CD16:ENSG00000160293 +9,133869456,Monocyte_CD16:ENSG00000160293 +9,133458704,Monocyte_CD16:ENSG00000160326 +9,133473458,Monocyte_CD16:ENSG00000160326 +9,127677263,Monocyte_CD16:ENSG00000160404 +9,127966874,Monocyte_CD16:ENSG00000160408 +9,34627336,Monocyte_CD16:ENSG00000164967 +9,34208516,Monocyte_CD16:ENSG00000164970 +9,15429483,Monocyte_CD16:ENSG00000164975 +9,15650013,Monocyte_CD16:ENSG00000164975 +9,34243888,Monocyte_CD16:ENSG00000164978 +9,34336108,Monocyte_CD16:ENSG00000164978 +9,34342384,Monocyte_CD16:ENSG00000164978 +9,15433284,Monocyte_CD16:ENSG00000164985 +9,15574432,Monocyte_CD16:ENSG00000164989 +9,34243888,Monocyte_CD16:ENSG00000165006 +9,90422796,Monocyte_CD16:ENSG00000165025 +9,90805143,Monocyte_CD16:ENSG00000165025 +9,104904866,Monocyte_CD16:ENSG00000165029 +9,69142598,Monocyte_CD16:ENSG00000165060 +9,73237291,Monocyte_CD16:ENSG00000165092 +9,83818122,Monocyte_CD16:ENSG00000165113 +9,83891964,Monocyte_CD16:ENSG00000165115 +9,83948628,Monocyte_CD16:ENSG00000165118 +9,94646908,Monocyte_CD16:ENSG00000165140 +9,112831449,Monocyte_CD16:ENSG00000165185 +9,93095654,Monocyte_CD16:ENSG00000165233 +9,93138214,Monocyte_CD16:ENSG00000165233 +9,33432398,Monocyte_CD16:ENSG00000165269 +9,33432398,Monocyte_CD16:ENSG00000165272 +9,37753727,Monocyte_CD16:ENSG00000165275 +9,35063623,Monocyte_CD16:ENSG00000165280 +9,136410555,Monocyte_CD16:ENSG00000165689 +9,133003751,Monocyte_CD16:ENSG00000165702 +9,137438026,Monocyte_CD16:ENSG00000165802 +9,137447994,Monocyte_CD16:ENSG00000165802 +9,137453949,Monocyte_CD16:ENSG00000165802 +9,127984070,Monocyte_CD16:ENSG00000167103 +9,128035854,Monocyte_CD16:ENSG00000167113 +9,128159633,Monocyte_CD16:ENSG00000167118 +9,128420824,Monocyte_CD16:ENSG00000167123 +9,128823196,Monocyte_CD16:ENSG00000167136 +9,136726514,Monocyte_CD16:ENSG00000169692 +9,134069802,Monocyte_CD16:ENSG00000169925 +9,128159633,Monocyte_CD16:ENSG00000171159 +9,83461747,Monocyte_CD16:ENSG00000172159 +9,170355,Monocyte_CD16:ENSG00000172785 +9,133253692,Monocyte_CD16:ENSG00000175164 +9,133274165,Monocyte_CD16:ENSG00000175164 +9,95836685,Monocyte_CD16:ENSG00000175611 +9,95866942,Monocyte_CD16:ENSG00000175611 +9,14693125,Monocyte_CD16:ENSG00000175893 +9,137110719,Monocyte_CD16:ENSG00000176101 +9,113275614,Monocyte_CD16:ENSG00000176386 +9,137102934,Monocyte_CD16:ENSG00000176978 +9,45440,Monocyte_CD16:ENSG00000181404 +9,114806486,Monocyte_CD16:ENSG00000181634 +9,95836685,Monocyte_CD16:ENSG00000182150 +9,95988425,Monocyte_CD16:ENSG00000182150 +9,137628903,Monocyte_CD16:ENSG00000182154 +9,162574,Monocyte_CD16:ENSG00000183784 +9,92716528,Monocyte_CD16:ENSG00000185963 +9,137074745,Monocyte_CD16:ENSG00000186193 +9,127716374,Monocyte_CD16:ENSG00000187024 +9,76441306,Monocyte_CD16:ENSG00000187210 +9,76638431,Monocyte_CD16:ENSG00000187210 +9,129913574,Monocyte_CD16:ENSG00000187239 +9,89420023,Monocyte_CD16:ENSG00000187764 +9,89499290,Monocyte_CD16:ENSG00000187764 +9,136373081,Monocyte_CD16:ENSG00000187796 +9,92283167,Monocyte_CD16:ENSG00000188312 +9,129347349,Monocyte_CD16:ENSG00000188483 +9,69781015,Monocyte_CD16:ENSG00000188647 +9,137453949,Monocyte_CD16:ENSG00000188747 +9,21016782,Monocyte_CD16:ENSG00000188921 +9,21064859,Monocyte_CD16:ENSG00000188921 +9,137285088,Monocyte_CD16:ENSG00000188986 +9,127451229,Monocyte_CD16:ENSG00000196152 +9,92416897,Monocyte_CD16:ENSG00000196305 +9,96811616,Monocyte_CD16:ENSG00000196312 +9,132243197,Monocyte_CD16:ENSG00000196358 +9,87559061,Monocyte_CD16:ENSG00000196730 +9,87565595,Monocyte_CD16:ENSG00000196730 +9,87614772,Monocyte_CD16:ENSG00000196730 +9,81567319,Monocyte_CD16:ENSG00000196781 +9,137605991,Monocyte_CD16:ENSG00000197070 +9,137074745,Monocyte_CD16:ENSG00000197355 +9,84367908,Monocyte_CD16:ENSG00000197506 +9,84390867,Monocyte_CD16:ENSG00000197506 +9,127449356,Monocyte_CD16:ENSG00000197958 +9,127451229,Monocyte_CD16:ENSG00000197958 +9,127456448,Monocyte_CD16:ENSG00000197958 +9,77144326,Monocyte_CD16:ENSG00000197969 +9,92217244,Monocyte_CD16:ENSG00000198000 +9,111034697,Monocyte_CD16:ENSG00000198121 +9,111150273,Monocyte_CD16:ENSG00000198121 +9,111169674,Monocyte_CD16:ENSG00000198121 +9,137346525,Monocyte_CD16:ENSG00000198435 +9,21274717,Monocyte_CD16:ENSG00000198642 +9,25678687,Monocyte_CD16:ENSG00000198680 +9,101585868,Monocyte_CD16:ENSG00000198785 +9,34153135,Monocyte_CD16:ENSG00000198876 +9,70210997,Monocyte_CD16:ENSG00000198887 +9,129491640,Monocyte_CD16:ENSG00000204054 +9,4662195,Monocyte_CD16:ENSG00000205808 +9,136358507,Monocyte_CD16:ENSG00000213221 +9,88885326,Monocyte_CD16:ENSG00000213694 +9,34627336,Monocyte_CD16:ENSG00000213930 +9,94089082,Monocyte_CD16:ENSG00000223446 +9,72301176,Monocyte_CD16:ENSG00000225434 +9,121370602,Monocyte_CD16:ENSG00000227355 +9,105022489,Monocyte_CD16:ENSG00000230013 +9,34665985,Monocyte_CD16:ENSG00000230074 +9,113125712,Monocyte_CD16:ENSG00000231528 +9,94344100,Monocyte_CD16:ENSG00000232063 +9,94366722,Monocyte_CD16:ENSG00000232063 +9,3526594,Monocyte_CD16:ENSG00000232104 +9,136719234,Monocyte_CD16:ENSG00000233016 +9,136726514,Monocyte_CD16:ENSG00000233016 +9,136728147,Monocyte_CD16:ENSG00000233016 +9,129328470,Monocyte_CD16:ENSG00000233901 +9,129347349,Monocyte_CD16:ENSG00000233901 +9,68556587,Monocyte_CD16:ENSG00000234506 +9,68560649,Monocyte_CD16:ENSG00000234506 +9,63651494,Monocyte_CD16:ENSG00000234665 +9,134025467,Monocyte_CD16:ENSG00000235106 +9,87559061,Monocyte_CD16:ENSG00000236709 +9,87565595,Monocyte_CD16:ENSG00000236709 +9,3526594,Monocyte_CD16:ENSG00000237359 +9,63596665,Monocyte_CD16:ENSG00000238113 +9,22007859,Monocyte_CD16:ENSG00000240498 +9,111649611,Monocyte_CD16:ENSG00000242616 +9,111658755,Monocyte_CD16:ENSG00000242616 +9,111659913,Monocyte_CD16:ENSG00000242616 +9,136763599,Monocyte_CD16:ENSG00000244187 +9,83708394,Monocyte_CD16:ENSG00000254473 +9,112035757,Monocyte_CD16:ENSG00000259953 +9,112113785,Monocyte_CD16:ENSG00000259953 +9,112175409,Monocyte_CD16:ENSG00000259953 +9,33691075,Monocyte_CD16:ENSG00000260947 +9,137074745,Monocyte_CD16:ENSG00000268996 +9,35671267,Monocyte_CD16:ENSG00000269900 +9,4671929,Monocyte_CD16:ENSG00000273061 +9,33691075,Monocyte_CD16:ENSG00000281128 +9,113091809,Monocyte_CD16:ENSG00000285447 +9,5601020,Monocyte_CD16:ENSG00000286162 +9,33691075,Monocyte_CD16:ENSG00000287063 +9,63616569,Monocyte_CD16:ENSG00000287168 +9,94751036,Monocyte_CD16:ENSG00000288023 +18,9488706,Monocyte_CD16:ENSG00000017797 +18,58044971,Monocyte_CD16:ENSG00000049759 +18,21295347,Monocyte_CD16:ENSG00000067900 +18,58926813,Monocyte_CD16:ENSG00000074657 +18,59354971,Monocyte_CD16:ENSG00000074695 +18,46851869,Monocyte_CD16:ENSG00000078043 +18,41951164,Monocyte_CD16:ENSG00000078142 +18,62715583,Monocyte_CD16:ENSG00000081913 +18,5422092,Monocyte_CD16:ENSG00000082397 +18,5440118,Monocyte_CD16:ENSG00000082397 +18,5517561,Monocyte_CD16:ENSG00000082397 +18,56650520,Monocyte_CD16:ENSG00000091157 +18,80034410,Monocyte_CD16:ENSG00000101546 +18,105653,Monocyte_CD16:ENSG00000101557 +18,9867665,Monocyte_CD16:ENSG00000101558 +18,2535815,Monocyte_CD16:ENSG00000101574 +18,2980124,Monocyte_CD16:ENSG00000101577 +18,3058708,Monocyte_CD16:ENSG00000101577 +18,2638217,Monocyte_CD16:ENSG00000101596 +18,2980124,Monocyte_CD16:ENSG00000101608 +18,3251330,Monocyte_CD16:ENSG00000101608 +18,13091662,Monocyte_CD16:ENSG00000101639 +18,13726683,Monocyte_CD16:ENSG00000101654 +18,48937386,Monocyte_CD16:ENSG00000101665 +18,32084565,Monocyte_CD16:ENSG00000101695 +18,9151277,Monocyte_CD16:ENSG00000101745 +18,9298122,Monocyte_CD16:ENSG00000101745 +18,54244801,Monocyte_CD16:ENSG00000101751 +18,54250876,Monocyte_CD16:ENSG00000101751 +18,54288913,Monocyte_CD16:ENSG00000101751 +18,22939812,Monocyte_CD16:ENSG00000101773 +18,22970106,Monocyte_CD16:ENSG00000101773 +18,23480592,Monocyte_CD16:ENSG00000101782 +18,3258551,Monocyte_CD16:ENSG00000118680 +18,63367187,Monocyte_CD16:ENSG00000119537 +18,63389774,Monocyte_CD16:ENSG00000119541 +18,79409017,Monocyte_CD16:ENSG00000131196 +18,698311,Monocyte_CD16:ENSG00000132199 +18,712356,Monocyte_CD16:ENSG00000132199 +18,2910179,Monocyte_CD16:ENSG00000132205 +18,74500567,Monocyte_CD16:ENSG00000133313 +18,74501838,Monocyte_CD16:ENSG00000133313 +18,74511175,Monocyte_CD16:ENSG00000133313 +18,50812738,Monocyte_CD16:ENSG00000134042 +18,54244801,Monocyte_CD16:ENSG00000134046 +18,47222312,Monocyte_CD16:ENSG00000134049 +18,10524456,Monocyte_CD16:ENSG00000134265 +18,12538483,Monocyte_CD16:ENSG00000134278 +18,12619276,Monocyte_CD16:ENSG00000134278 +18,24863634,Monocyte_CD16:ENSG00000134489 +18,31175459,Monocyte_CD16:ENSG00000134755 +18,32084565,Monocyte_CD16:ENSG00000134758 +18,36129799,Monocyte_CD16:ENSG00000134759 +18,36781799,Monocyte_CD16:ENSG00000134779 +18,36829006,Monocyte_CD16:ENSG00000134779 +18,11974972,Monocyte_CD16:ENSG00000141401 +18,35980129,Monocyte_CD16:ENSG00000141428 +18,35733856,Monocyte_CD16:ENSG00000141429 +18,24397876,Monocyte_CD16:ENSG00000141447 +18,22320416,Monocyte_CD16:ENSG00000141448 +18,22333101,Monocyte_CD16:ENSG00000141448 +18,23535096,Monocyte_CD16:ENSG00000141452 +18,62516206,Monocyte_CD16:ENSG00000141664 +18,62524195,Monocyte_CD16:ENSG00000141664 +18,59911908,Monocyte_CD16:ENSG00000141682 +18,59930461,Monocyte_CD16:ENSG00000141682 +18,79970825,Monocyte_CD16:ENSG00000141759 +18,36829006,Monocyte_CD16:ENSG00000150477 +18,44737825,Monocyte_CD16:ENSG00000152217 +18,46080641,Monocyte_CD16:ENSG00000152234 +18,46104399,Monocyte_CD16:ENSG00000152240 +18,35497948,Monocyte_CD16:ENSG00000153391 +18,24308062,Monocyte_CD16:ENSG00000154040 +18,6402301,Monocyte_CD16:ENSG00000154655 +18,11900279,Monocyte_CD16:ENSG00000154889 +18,74260915,Monocyte_CD16:ENSG00000166347 +18,74291400,Monocyte_CD16:ENSG00000166347 +18,79150760,Monocyte_CD16:ENSG00000166377 +18,63965470,Monocyte_CD16:ENSG00000166401 +18,63966008,Monocyte_CD16:ENSG00000166401 +18,68699078,Monocyte_CD16:ENSG00000166479 +18,54949333,Monocyte_CD16:ENSG00000166510 +18,54952259,Monocyte_CD16:ENSG00000166510 +18,54985170,Monocyte_CD16:ENSG00000166510 +18,59139008,Monocyte_CD16:ENSG00000166562 +18,54244801,Monocyte_CD16:ENSG00000166845 +18,35044845,Monocyte_CD16:ENSG00000166974 +18,46585378,Monocyte_CD16:ENSG00000167210 +18,47189640,Monocyte_CD16:ENSG00000167220 +18,24039967,Monocyte_CD16:ENSG00000168234 +18,9701785,Monocyte_CD16:ENSG00000168461 +18,9708153,Monocyte_CD16:ENSG00000168461 +18,9709572,Monocyte_CD16:ENSG00000168461 +18,9710557,Monocyte_CD16:ENSG00000168461 +18,13462899,Monocyte_CD16:ENSG00000168675 +18,13569213,Monocyte_CD16:ENSG00000168675 +18,63219704,Monocyte_CD16:ENSG00000171791 +18,58538829,Monocyte_CD16:ENSG00000172175 +18,35377319,Monocyte_CD16:ENSG00000172466 +18,14132403,Monocyte_CD16:ENSG00000175322 +18,47995000,Monocyte_CD16:ENSG00000175387 +18,12304754,Monocyte_CD16:ENSG00000176014 +18,12313151,Monocyte_CD16:ENSG00000176014 +18,3448981,Monocyte_CD16:ENSG00000177426 +18,49469977,Monocyte_CD16:ENSG00000177576 +18,9117290,Monocyte_CD16:ENSG00000178127 +18,75202325,Monocyte_CD16:ENSG00000179981 +18,75204009,Monocyte_CD16:ENSG00000180011 +18,75209152,Monocyte_CD16:ENSG00000180011 +18,48088699,Monocyte_CD16:ENSG00000184828 +18,48090230,Monocyte_CD16:ENSG00000184828 +18,48227371,Monocyte_CD16:ENSG00000184828 +18,62190266,Monocyte_CD16:ENSG00000197563 +18,77011503,Monocyte_CD16:ENSG00000197971 +18,77132742,Monocyte_CD16:ENSG00000197971 +18,79965655,Monocyte_CD16:ENSG00000226742 +18,79965683,Monocyte_CD16:ENSG00000226742 +18,79970825,Monocyte_CD16:ENSG00000226742 +18,5212200,Monocyte_CD16:ENSG00000263753 +18,5240630,Monocyte_CD16:ENSG00000263753 +18,5287448,Monocyte_CD16:ENSG00000263753 +18,49489239,Monocyte_CD16:ENSG00000263916 +18,74593908,Monocyte_CD16:ENSG00000264247 +18,49340036,Monocyte_CD16:ENSG00000265681 +18,49498977,Monocyte_CD16:ENSG00000265681 +18,50273531,Monocyte_CD16:ENSG00000265681 +18,22333101,Monocyte_CD16:ENSG00000266010 +18,9983181,Monocyte_CD16:ENSG00000266805 +18,57630990,Monocyte_CD16:ENSG00000267040 +18,80137309,Monocyte_CD16:ENSG00000267270 +18,80147982,Monocyte_CD16:ENSG00000267270 +18,55788454,Monocyte_CD16:ENSG00000267325 +18,63368813,Monocyte_CD16:ENSG00000267390 +18,2916056,Monocyte_CD16:ENSG00000272625 +18,3247258,Monocyte_CD16:ENSG00000272688 +18,79716603,Monocyte_CD16:ENSG00000274828 +14,50534052,Monocyte_CD16:ENSG00000012983 +14,76720718,Monocyte_CD16:ENSG00000013523 +14,76848688,Monocyte_CD16:ENSG00000013523 +14,91361197,Monocyte_CD16:ENSG00000015133 +14,60858036,Monocyte_CD16:ENSG00000020426 +14,54776491,Monocyte_CD16:ENSG00000020577 +14,54783169,Monocyte_CD16:ENSG00000020577 +14,61762213,Monocyte_CD16:ENSG00000023608 +14,61866437,Monocyte_CD16:ENSG00000023608 +14,65412636,Monocyte_CD16:ENSG00000033170 +14,88051817,Monocyte_CD16:ENSG00000042317 +14,59475647,Monocyte_CD16:ENSG00000050130 +14,59511125,Monocyte_CD16:ENSG00000050130 +14,89495187,Monocyte_CD16:ENSG00000053254 +14,63761909,Monocyte_CD16:ENSG00000054654 +14,77813858,Monocyte_CD16:ENSG00000063761 +14,92112142,Monocyte_CD16:ENSG00000066427 +14,64708646,Monocyte_CD16:ENSG00000070182 +14,76703049,Monocyte_CD16:ENSG00000071246 +14,76720718,Monocyte_CD16:ENSG00000071246 +14,103380379,Monocyte_CD16:ENSG00000075413 +14,73152598,Monocyte_CD16:ENSG00000080815 +14,51993447,Monocyte_CD16:ENSG00000087302 +14,93965207,Monocyte_CD16:ENSG00000089737 +14,94080599,Monocyte_CD16:ENSG00000089737 +14,94081217,Monocyte_CD16:ENSG00000089737 +14,102499560,Monocyte_CD16:ENSG00000089902 +14,102530904,Monocyte_CD16:ENSG00000089902 +14,76191610,Monocyte_CD16:ENSG00000089916 +14,76198793,Monocyte_CD16:ENSG00000089916 +14,96425588,Monocyte_CD16:ENSG00000090060 +14,24137907,Monocyte_CD16:ENSG00000092010 +14,35122520,Monocyte_CD16:ENSG00000092020 +14,22933851,Monocyte_CD16:ENSG00000092036 +14,22953244,Monocyte_CD16:ENSG00000092036 +14,20449506,Monocyte_CD16:ENSG00000092094 +14,30622552,Monocyte_CD16:ENSG00000092108 +14,21316885,Monocyte_CD16:ENSG00000092200 +14,104800735,Monocyte_CD16:ENSG00000099814 +14,24429988,Monocyte_CD16:ENSG00000100441 +14,24441767,Monocyte_CD16:ENSG00000100445 +14,22894897,Monocyte_CD16:ENSG00000100461 +14,22929693,Monocyte_CD16:ENSG00000100461 +14,31001268,Monocyte_CD16:ENSG00000100478 +14,50104754,Monocyte_CD16:ENSG00000100483 +14,50929240,Monocyte_CD16:ENSG00000100504 +14,50935708,Monocyte_CD16:ENSG00000100504 +14,50944761,Monocyte_CD16:ENSG00000100504 +14,53017766,Monocyte_CD16:ENSG00000100523 +14,66484134,Monocyte_CD16:ENSG00000100554 +14,76824544,Monocyte_CD16:ENSG00000100565 +14,67646576,Monocyte_CD16:ENSG00000100568 +14,77324529,Monocyte_CD16:ENSG00000100577 +14,77380915,Monocyte_CD16:ENSG00000100580 +14,59190371,Monocyte_CD16:ENSG00000100592 +14,77540904,Monocyte_CD16:ENSG00000100596 +14,77557371,Monocyte_CD16:ENSG00000100596 +14,92489041,Monocyte_CD16:ENSG00000100599 +14,92508101,Monocyte_CD16:ENSG00000100599 +14,92548584,Monocyte_CD16:ENSG00000100599 +14,92727192,Monocyte_CD16:ENSG00000100600 +14,93074561,Monocyte_CD16:ENSG00000100605 +14,93152911,Monocyte_CD16:ENSG00000100605 +14,60151886,Monocyte_CD16:ENSG00000100612 +14,93961657,Monocyte_CD16:ENSG00000100628 +14,69762381,Monocyte_CD16:ENSG00000100650 +14,95136322,Monocyte_CD16:ENSG00000100697 +14,64392473,Monocyte_CD16:ENSG00000100714 +14,70929053,Monocyte_CD16:ENSG00000100731 +14,96363513,Monocyte_CD16:ENSG00000100744 +14,96425588,Monocyte_CD16:ENSG00000100744 +14,90262242,Monocyte_CD16:ENSG00000100764 +14,91114996,Monocyte_CD16:ENSG00000100784 +14,91452737,Monocyte_CD16:ENSG00000100796 +14,92021739,Monocyte_CD16:ENSG00000100815 +14,20470092,Monocyte_CD16:ENSG00000100823 +14,32207665,Monocyte_CD16:ENSG00000100852 +14,34979569,Monocyte_CD16:ENSG00000100883 +14,24058463,Monocyte_CD16:ENSG00000100889 +14,35343479,Monocyte_CD16:ENSG00000100902 +14,35336946,Monocyte_CD16:ENSG00000100906 +14,24812105,Monocyte_CD16:ENSG00000100911 +14,24171097,Monocyte_CD16:ENSG00000100918 +14,72926683,Monocyte_CD16:ENSG00000119599 +14,94129608,Monocyte_CD16:ENSG00000119632 +14,94129652,Monocyte_CD16:ENSG00000119632 +14,74480701,Monocyte_CD16:ENSG00000119655 +14,74487356,Monocyte_CD16:ENSG00000119655 +14,77028339,Monocyte_CD16:ENSG00000119669 +14,75615321,Monocyte_CD16:ENSG00000119686 +14,73067172,Monocyte_CD16:ENSG00000119707 +14,75022929,Monocyte_CD16:ENSG00000119718 +14,73998582,Monocyte_CD16:ENSG00000119723 +14,54048567,Monocyte_CD16:ENSG00000125378 +14,52314477,Monocyte_CD16:ENSG00000125384 +14,103628983,Monocyte_CD16:ENSG00000126214 +14,55621684,Monocyte_CD16:ENSG00000126777 +14,59480790,Monocyte_CD16:ENSG00000126790 +14,64516821,Monocyte_CD16:ENSG00000126804 +14,63769473,Monocyte_CD16:ENSG00000126821 +14,64708646,Monocyte_CD16:ENSG00000126822 +14,24330637,Monocyte_CD16:ENSG00000129465 +14,21458670,Monocyte_CD16:ENSG00000129472 +14,20360961,Monocyte_CD16:ENSG00000129484 +14,34618364,Monocyte_CD16:ENSG00000129515 +14,45246609,Monocyte_CD16:ENSG00000129534 +14,23581056,Monocyte_CD16:ENSG00000129535 +14,22584193,Monocyte_CD16:ENSG00000129562 +14,20413368,Monocyte_CD16:ENSG00000129566 +14,102777119,Monocyte_CD16:ENSG00000131323 +14,58211339,Monocyte_CD16:ENSG00000131966 +14,54855542,Monocyte_CD16:ENSG00000131979 +14,55127313,Monocyte_CD16:ENSG00000131981 +14,55137391,Monocyte_CD16:ENSG00000131981 +14,55145855,Monocyte_CD16:ENSG00000131981 +14,75965793,Monocyte_CD16:ENSG00000133935 +14,91114928,Monocyte_CD16:ENSG00000133943 +14,73191429,Monocyte_CD16:ENSG00000133961 +14,70326287,Monocyte_CD16:ENSG00000133983 +14,70638201,Monocyte_CD16:ENSG00000133985 +14,70641222,Monocyte_CD16:ENSG00000133985 +14,70650414,Monocyte_CD16:ENSG00000133985 +14,70752493,Monocyte_CD16:ENSG00000133985 +14,24429574,Monocyte_CD16:ENSG00000139899 +14,24421720,Monocyte_CD16:ENSG00000139908 +14,59561645,Monocyte_CD16:ENSG00000139970 +14,59849970,Monocyte_CD16:ENSG00000139970 +14,60757313,Monocyte_CD16:ENSG00000139974 +14,81423455,Monocyte_CD16:ENSG00000140022 +14,81449155,Monocyte_CD16:ENSG00000140022 +14,89880054,Monocyte_CD16:ENSG00000140025 +14,87994904,Monocyte_CD16:ENSG00000140030 +14,87996626,Monocyte_CD16:ENSG00000140030 +14,88051817,Monocyte_CD16:ENSG00000140030 +14,88076002,Monocyte_CD16:ENSG00000140030 +14,73852011,Monocyte_CD16:ENSG00000140043 +14,75343913,Monocyte_CD16:ENSG00000140044 +14,75399416,Monocyte_CD16:ENSG00000140044 +14,92393055,Monocyte_CD16:ENSG00000140090 +14,92461058,Monocyte_CD16:ENSG00000140090 +14,92469291,Monocyte_CD16:ENSG00000140090 +14,92489041,Monocyte_CD16:ENSG00000140090 +14,92493894,Monocyte_CD16:ENSG00000140090 +14,100365452,Monocyte_CD16:ENSG00000140105 +14,100374613,Monocyte_CD16:ENSG00000140105 +14,100544872,Monocyte_CD16:ENSG00000140105 +14,104816684,Monocyte_CD16:ENSG00000142208 +14,35048404,Monocyte_CD16:ENSG00000151327 +14,50673127,Monocyte_CD16:ENSG00000151748 +14,22748813,Monocyte_CD16:ENSG00000155463 +14,22772111,Monocyte_CD16:ENSG00000155463 +14,22748813,Monocyte_CD16:ENSG00000155465 +14,22781937,Monocyte_CD16:ENSG00000155465 +14,22784939,Monocyte_CD16:ENSG00000155465 +14,22813490,Monocyte_CD16:ENSG00000155465 +14,75519040,Monocyte_CD16:ENSG00000156127 +14,103904328,Monocyte_CD16:ENSG00000156411 +14,103907392,Monocyte_CD16:ENSG00000156411 +14,103950843,Monocyte_CD16:ENSG00000156414 +14,23975820,Monocyte_CD16:ENSG00000157326 +14,24005193,Monocyte_CD16:ENSG00000157326 +14,24023945,Monocyte_CD16:ENSG00000157326 +14,24286983,Monocyte_CD16:ENSG00000157379 +14,24291558,Monocyte_CD16:ENSG00000157379 +14,24294980,Monocyte_CD16:ENSG00000157379 +14,34714682,Monocyte_CD16:ENSG00000165410 +14,49604885,Monocyte_CD16:ENSG00000165502 +14,49620639,Monocyte_CD16:ENSG00000165502 +14,77182678,Monocyte_CD16:ENSG00000165548 +14,77183750,Monocyte_CD16:ENSG00000165548 +14,20989786,Monocyte_CD16:ENSG00000165792 +14,21071525,Monocyte_CD16:ENSG00000165801 +14,74495530,Monocyte_CD16:ENSG00000165898 +14,90846092,Monocyte_CD16:ENSG00000165914 +14,92120818,Monocyte_CD16:ENSG00000165934 +14,94100686,Monocyte_CD16:ENSG00000165948 +14,95322924,Monocyte_CD16:ENSG00000165959 +14,95353892,Monocyte_CD16:ENSG00000165959 +14,103477655,Monocyte_CD16:ENSG00000166165 +14,103526781,Monocyte_CD16:ENSG00000166165 +14,103534465,Monocyte_CD16:ENSG00000166165 +14,103535897,Monocyte_CD16:ENSG00000166165 +14,103534465,Monocyte_CD16:ENSG00000166166 +14,104942474,Monocyte_CD16:ENSG00000166428 +14,20955631,Monocyte_CD16:ENSG00000169385 +14,20963190,Monocyte_CD16:ENSG00000169385 +14,20710228,Monocyte_CD16:ENSG00000169413 +14,75022929,Monocyte_CD16:ENSG00000170348 +14,22823267,Monocyte_CD16:ENSG00000172590 +14,35528711,Monocyte_CD16:ENSG00000174373 +14,95516117,Monocyte_CD16:ENSG00000176438 +14,100380499,Monocyte_CD16:ENSG00000176473 +14,59473099,Monocyte_CD16:ENSG00000181619 +14,95535695,Monocyte_CD16:ENSG00000182512 +14,100544872,Monocyte_CD16:ENSG00000183092 +14,99442471,Monocyte_CD16:ENSG00000183576 +14,105161783,Monocyte_CD16:ENSG00000183828 +14,105181663,Monocyte_CD16:ENSG00000183828 +14,105265706,Monocyte_CD16:ENSG00000184887 +14,103130985,Monocyte_CD16:ENSG00000185215 +14,68397270,Monocyte_CD16:ENSG00000185650 +14,68406468,Monocyte_CD16:ENSG00000185650 +14,68681410,Monocyte_CD16:ENSG00000185650 +14,68687398,Monocyte_CD16:ENSG00000185650 +14,68787577,Monocyte_CD16:ENSG00000185650 +14,51860941,Monocyte_CD16:ENSG00000186469 +14,51881508,Monocyte_CD16:ENSG00000186469 +14,74086898,Monocyte_CD16:ENSG00000187097 +14,23964205,Monocyte_CD16:ENSG00000187630 +14,23975820,Monocyte_CD16:ENSG00000187630 +14,23978154,Monocyte_CD16:ENSG00000187630 +14,24038223,Monocyte_CD16:ENSG00000187630 +14,100051220,Monocyte_CD16:ENSG00000196405 +14,100063812,Monocyte_CD16:ENSG00000196405 +14,100070759,Monocyte_CD16:ENSG00000196405 +14,100095069,Monocyte_CD16:ENSG00000196405 +14,31010085,Monocyte_CD16:ENSG00000196792 +14,54453514,Monocyte_CD16:ENSG00000197045 +14,100311296,Monocyte_CD16:ENSG00000197119 +14,94365477,Monocyte_CD16:ENSG00000197249 +14,94377382,Monocyte_CD16:ENSG00000197249 +14,94385137,Monocyte_CD16:ENSG00000197249 +14,94387628,Monocyte_CD16:ENSG00000197249 +14,94388536,Monocyte_CD16:ENSG00000197249 +14,94388565,Monocyte_CD16:ENSG00000197249 +14,94390300,Monocyte_CD16:ENSG00000197249 +14,94395812,Monocyte_CD16:ENSG00000197249 +14,52697146,Monocyte_CD16:ENSG00000197930 +14,67509608,Monocyte_CD16:ENSG00000198133 +14,74928726,Monocyte_CD16:ENSG00000198208 +14,52728358,Monocyte_CD16:ENSG00000198252 +14,34929221,Monocyte_CD16:ENSG00000198604 +14,90393160,Monocyte_CD16:ENSG00000198668 +14,90399373,Monocyte_CD16:ENSG00000198668 +14,103001968,Monocyte_CD16:ENSG00000198752 +14,20470092,Monocyte_CD16:ENSG00000198805 +14,77121593,Monocyte_CD16:ENSG00000198894 +14,74200251,Monocyte_CD16:ENSG00000205659 +14,105487689,Monocyte_CD16:ENSG00000213145 +14,24301874,Monocyte_CD16:ENSG00000213903 +14,20684091,Monocyte_CD16:ENSG00000214274 +14,100500224,Monocyte_CD16:ENSG00000214548 +14,100709875,Monocyte_CD16:ENSG00000214548 +14,23957588,Monocyte_CD16:ENSG00000215256 +14,23964205,Monocyte_CD16:ENSG00000215256 +14,100709875,Monocyte_CD16:ENSG00000223403 +14,100709875,Monocyte_CD16:ENSG00000225746 +14,97462047,Monocyte_CD16:ENSG00000246084 +14,103672302,Monocyte_CD16:ENSG00000246451 +14,24209206,Monocyte_CD16:ENSG00000254505 +14,24210722,Monocyte_CD16:ENSG00000254505 +14,103561859,Monocyte_CD16:ENSG00000256053 +14,22929786,Monocyte_CD16:ENSG00000257285 +14,64998453,Monocyte_CD16:ENSG00000257365 +14,58288856,Monocyte_CD16:ENSG00000257621 +14,64902951,Monocyte_CD16:ENSG00000258289 +14,64938214,Monocyte_CD16:ENSG00000258289 +14,39440343,Monocyte_CD16:ENSG00000258526 +14,95517638,Monocyte_CD16:ENSG00000258572 +14,104816684,Monocyte_CD16:ENSG00000258701 +14,85934899,Monocyte_CD16:ENSG00000258733 +14,34874203,Monocyte_CD16:ENSG00000258738 +14,23490183,Monocyte_CD16:ENSG00000258744 +14,52697146,Monocyte_CD16:ENSG00000258757 +14,61243596,Monocyte_CD16:ENSG00000258777 +14,20684091,Monocyte_CD16:ENSG00000258818 +14,87950395,Monocyte_CD16:ENSG00000258867 +14,88046546,Monocyte_CD16:ENSG00000258867 +14,88066890,Monocyte_CD16:ENSG00000258867 +14,69998527,Monocyte_CD16:ENSG00000258957 +14,100238553,Monocyte_CD16:ENSG00000258982 +14,20338262,Monocyte_CD16:ENSG00000259001 +14,20343420,Monocyte_CD16:ENSG00000259001 +14,101121220,Monocyte_CD16:ENSG00000259004 +14,101121813,Monocyte_CD16:ENSG00000259004 +14,73809286,Monocyte_CD16:ENSG00000259065 +14,96425588,Monocyte_CD16:ENSG00000260806 +14,103672302,Monocyte_CD16:ENSG00000269940 +14,103701208,Monocyte_CD16:ENSG00000269958 +14,105965473,Monocyte_CD16:ENSG00000270816 +14,101949258,Monocyte_CD16:ENSG00000271780 +14,51638631,Monocyte_CD16:ENSG00000273888 +14,90383503,Monocyte_CD16:ENSG00000275198 +14,56118902,Monocyte_CD16:ENSG00000277763 +14,24198897,Monocyte_CD16:ENSG00000278784 +14,52728358,Monocyte_CD16:ENSG00000285664 +14,39198625,Monocyte_CD16:ENSG00000285830 +14,24014217,Monocyte_CD16:ENSG00000286931 +14,24019662,Monocyte_CD16:ENSG00000286931 +14,24038223,Monocyte_CD16:ENSG00000286931 +14,24296416,Monocyte_CD16:ENSG00000288044 +14,101119143,Monocyte_CD16:ENSG00000288302 +14,101122395,Monocyte_CD16:ENSG00000288302 +17,38869886,Monocyte_CD16:ENSG00000002834 +17,48124822,Monocyte_CD16:ENSG00000002919 +17,3886861,Monocyte_CD16:ENSG00000004660 +17,3917404,Monocyte_CD16:ENSG00000004660 +17,35005158,Monocyte_CD16:ENSG00000005156 +17,47973303,Monocyte_CD16:ENSG00000005243 +17,58290272,Monocyte_CD16:ENSG00000005381 +17,50112554,Monocyte_CD16:ENSG00000005882 +17,50118454,Monocyte_CD16:ENSG00000005882 +17,45327085,Monocyte_CD16:ENSG00000006062 +17,35679587,Monocyte_CD16:ENSG00000006125 +17,50547162,Monocyte_CD16:ENSG00000006282 +17,12986706,Monocyte_CD16:ENSG00000006740 +17,13011167,Monocyte_CD16:ENSG00000006744 +17,10114968,Monocyte_CD16:ENSG00000007237 +17,10128118,Monocyte_CD16:ENSG00000007237 +17,10128254,Monocyte_CD16:ENSG00000007237 +17,10154516,Monocyte_CD16:ENSG00000007237 +17,63933143,Monocyte_CD16:ENSG00000007312 +17,16022719,Monocyte_CD16:ENSG00000011295 +17,43361216,Monocyte_CD16:ENSG00000012048 +17,44243364,Monocyte_CD16:ENSG00000013306 +17,5235009,Monocyte_CD16:ENSG00000029725 +17,5391929,Monocyte_CD16:ENSG00000029725 +17,21277414,Monocyte_CD16:ENSG00000034152 +17,78916928,Monocyte_CD16:ENSG00000035862 +17,42436708,Monocyte_CD16:ENSG00000037042 +17,7237821,Monocyte_CD16:ENSG00000040633 +17,78802280,Monocyte_CD16:ENSG00000055483 +17,78806566,Monocyte_CD16:ENSG00000055483 +17,59758773,Monocyte_CD16:ENSG00000062716 +17,43529343,Monocyte_CD16:ENSG00000067596 +17,60095086,Monocyte_CD16:ENSG00000068097 +17,59209673,Monocyte_CD16:ENSG00000068489 +17,68434373,Monocyte_CD16:ENSG00000070540 +17,68447468,Monocyte_CD16:ENSG00000070540 +17,68456893,Monocyte_CD16:ENSG00000070540 +17,76583249,Monocyte_CD16:ENSG00000070731 +17,19687833,Monocyte_CD16:ENSG00000072210 +17,17829155,Monocyte_CD16:ENSG00000072310 +17,7334027,Monocyte_CD16:ENSG00000072818 +17,75571974,Monocyte_CD16:ENSG00000073350 +17,75588744,Monocyte_CD16:ENSG00000073350 +17,40626091,Monocyte_CD16:ENSG00000073584 +17,46494702,Monocyte_CD16:ENSG00000073969 +17,46717192,Monocyte_CD16:ENSG00000073969 +17,3824542,Monocyte_CD16:ENSG00000074356 +17,3917404,Monocyte_CD16:ENSG00000074370 +17,4142807,Monocyte_CD16:ENSG00000074755 +17,28395871,Monocyte_CD16:ENSG00000076351 +17,29335199,Monocyte_CD16:ENSG00000076604 +17,19867907,Monocyte_CD16:ENSG00000083290 +17,3704077,Monocyte_CD16:ENSG00000083454 +17,18168576,Monocyte_CD16:ENSG00000091536 +17,5552123,Monocyte_CD16:ENSG00000091592 +17,4968223,Monocyte_CD16:ENSG00000091640 +17,44014960,Monocyte_CD16:ENSG00000091947 +17,35041037,Monocyte_CD16:ENSG00000092871 +17,75923440,Monocyte_CD16:ENSG00000092929 +17,29571078,Monocyte_CD16:ENSG00000108262 +17,29590753,Monocyte_CD16:ENSG00000108262 +17,39383590,Monocyte_CD16:ENSG00000108306 +17,39987976,Monocyte_CD16:ENSG00000108344 +17,40126583,Monocyte_CD16:ENSG00000108352 +17,58700967,Monocyte_CD16:ENSG00000108384 +17,59096484,Monocyte_CD16:ENSG00000108395 +17,3886861,Monocyte_CD16:ENSG00000108405 +17,3917404,Monocyte_CD16:ENSG00000108405 +17,59482738,Monocyte_CD16:ENSG00000108423 +17,18682274,Monocyte_CD16:ENSG00000108448 +17,47968118,Monocyte_CD16:ENSG00000108465 +17,48019787,Monocyte_CD16:ENSG00000108465 +17,75667292,Monocyte_CD16:ENSG00000108469 +17,75790897,Monocyte_CD16:ENSG00000108479 +17,4935346,Monocyte_CD16:ENSG00000108523 +17,4944148,Monocyte_CD16:ENSG00000108523 +17,17640408,Monocyte_CD16:ENSG00000108551 +17,4902094,Monocyte_CD16:ENSG00000108556 +17,17643922,Monocyte_CD16:ENSG00000108557 +17,19905032,Monocyte_CD16:ENSG00000108599 +17,20043203,Monocyte_CD16:ENSG00000108599 +17,63772941,Monocyte_CD16:ENSG00000108604 +17,63780314,Monocyte_CD16:ENSG00000108604 +17,78127382,Monocyte_CD16:ENSG00000108639 +17,78174654,Monocyte_CD16:ENSG00000108639 +17,64506317,Monocyte_CD16:ENSG00000108654 +17,32276299,Monocyte_CD16:ENSG00000108666 +17,78685744,Monocyte_CD16:ENSG00000108669 +17,78979095,Monocyte_CD16:ENSG00000108679 +17,42112643,Monocyte_CD16:ENSG00000108771 +17,42396521,Monocyte_CD16:ENSG00000108788 +17,43726525,Monocyte_CD16:ENSG00000108799 +17,50151620,Monocyte_CD16:ENSG00000108823 +17,50373184,Monocyte_CD16:ENSG00000108826 +17,50634726,Monocyte_CD16:ENSG00000108846 +17,50640983,Monocyte_CD16:ENSG00000108846 +17,68537514,Monocyte_CD16:ENSG00000108946 +17,68580007,Monocyte_CD16:ENSG00000108950 +17,68598826,Monocyte_CD16:ENSG00000108950 +17,68622913,Monocyte_CD16:ENSG00000108950 +17,1406302,Monocyte_CD16:ENSG00000108953 +17,21127756,Monocyte_CD16:ENSG00000109016 +17,27282071,Monocyte_CD16:ENSG00000109046 +17,27294442,Monocyte_CD16:ENSG00000109046 +17,74771296,Monocyte_CD16:ENSG00000109062 +17,74789890,Monocyte_CD16:ENSG00000109065 +17,74603279,Monocyte_CD16:ENSG00000109066 +17,28301721,Monocyte_CD16:ENSG00000109084 +17,28549844,Monocyte_CD16:ENSG00000109103 +17,28716541,Monocyte_CD16:ENSG00000109113 +17,28861660,Monocyte_CD16:ENSG00000109113 +17,45982131,Monocyte_CD16:ENSG00000120071 +17,46125004,Monocyte_CD16:ENSG00000120071 +17,46769315,Monocyte_CD16:ENSG00000120071 +17,56985857,Monocyte_CD16:ENSG00000121064 +17,57005471,Monocyte_CD16:ENSG00000121064 +17,70163685,Monocyte_CD16:ENSG00000123700 +17,70523913,Monocyte_CD16:ENSG00000123700 +17,20984074,Monocyte_CD16:ENSG00000124422 +17,21051298,Monocyte_CD16:ENSG00000124422 +17,21055409,Monocyte_CD16:ENSG00000124422 +17,14358452,Monocyte_CD16:ENSG00000125430 +17,75261905,Monocyte_CD16:ENSG00000125445 +17,75313274,Monocyte_CD16:ENSG00000125454 +17,75271437,Monocyte_CD16:ENSG00000125457 +17,75131709,Monocyte_CD16:ENSG00000125458 +17,75132206,Monocyte_CD16:ENSG00000125458 +17,38853761,Monocyte_CD16:ENSG00000125691 +17,40096407,Monocyte_CD16:ENSG00000126351 +17,40898619,Monocyte_CD16:ENSG00000126368 +17,42310778,Monocyte_CD16:ENSG00000126561 +17,31324211,Monocyte_CD16:ENSG00000126860 +17,31324211,Monocyte_CD16:ENSG00000126861 +17,20058997,Monocyte_CD16:ENSG00000128487 +17,20092017,Monocyte_CD16:ENSG00000128487 +17,7566274,Monocyte_CD16:ENSG00000129194 +17,5435874,Monocyte_CD16:ENSG00000129197 +17,4802814,Monocyte_CD16:ENSG00000129219 +17,7574159,Monocyte_CD16:ENSG00000129226 +17,7587492,Monocyte_CD16:ENSG00000129226 +17,6620978,Monocyte_CD16:ENSG00000129235 +17,7566274,Monocyte_CD16:ENSG00000129255 +17,77099082,Monocyte_CD16:ENSG00000129657 +17,76496147,Monocyte_CD16:ENSG00000129667 +17,31484036,Monocyte_CD16:ENSG00000131242 +17,31494594,Monocyte_CD16:ENSG00000131242 +17,43219993,Monocyte_CD16:ENSG00000131469 +17,43523114,Monocyte_CD16:ENSG00000131469 +17,42714081,Monocyte_CD16:ENSG00000131477 +17,39668292,Monocyte_CD16:ENSG00000131748 +17,18237259,Monocyte_CD16:ENSG00000131899 +17,18244365,Monocyte_CD16:ENSG00000131899 +17,35005158,Monocyte_CD16:ENSG00000132141 +17,2798867,Monocyte_CD16:ENSG00000132359 +17,4555303,Monocyte_CD16:ENSG00000132382 +17,1764954,Monocyte_CD16:ENSG00000132386 +17,75855372,Monocyte_CD16:ENSG00000132471 +17,75779744,Monocyte_CD16:ENSG00000132475 +17,7305745,Monocyte_CD16:ENSG00000132507 +17,7306067,Monocyte_CD16:ENSG00000132507 +17,7839283,Monocyte_CD16:ENSG00000132510 +17,7115217,Monocyte_CD16:ENSG00000132514 +17,6760580,Monocyte_CD16:ENSG00000132530 +17,6774077,Monocyte_CD16:ENSG00000132530 +17,17660705,Monocyte_CD16:ENSG00000133027 +17,10699650,Monocyte_CD16:ENSG00000133028 +17,17009366,Monocyte_CD16:ENSG00000133030 +17,72648562,Monocyte_CD16:ENSG00000133193 +17,73221757,Monocyte_CD16:ENSG00000133193 +17,73059609,Monocyte_CD16:ENSG00000133195 +17,73092704,Monocyte_CD16:ENSG00000133195 +17,45095905,Monocyte_CD16:ENSG00000136448 +17,63643074,Monocyte_CD16:ENSG00000136490 +17,16281934,Monocyte_CD16:ENSG00000141027 +17,17288209,Monocyte_CD16:ENSG00000141030 +17,27521170,Monocyte_CD16:ENSG00000141068 +17,55767164,Monocyte_CD16:ENSG00000141179 +17,73221757,Monocyte_CD16:ENSG00000141219 +17,50906949,Monocyte_CD16:ENSG00000141232 +17,618825,Monocyte_CD16:ENSG00000141252 +17,645764,Monocyte_CD16:ENSG00000141252 +17,648613,Monocyte_CD16:ENSG00000141252 +17,665141,Monocyte_CD16:ENSG00000141252 +17,47836481,Monocyte_CD16:ENSG00000141295 +17,29702705,Monocyte_CD16:ENSG00000141298 +17,44050202,Monocyte_CD16:ENSG00000141349 +17,59803949,Monocyte_CD16:ENSG00000141367 +17,60677901,Monocyte_CD16:ENSG00000141376 +17,4710335,Monocyte_CD16:ENSG00000141480 +17,4751100,Monocyte_CD16:ENSG00000141497 +17,4766452,Monocyte_CD16:ENSG00000141497 +17,4930090,Monocyte_CD16:ENSG00000141503 +17,7626953,Monocyte_CD16:ENSG00000141504 +17,7133458,Monocyte_CD16:ENSG00000141505 +17,7168058,Monocyte_CD16:ENSG00000141505 +17,7174501,Monocyte_CD16:ENSG00000141505 +17,82298635,Monocyte_CD16:ENSG00000141522 +17,78121280,Monocyte_CD16:ENSG00000141524 +17,78121280,Monocyte_CD16:ENSG00000141524 +17,82232895,Monocyte_CD16:ENSG00000141526 +17,74282731,Monocyte_CD16:ENSG00000141540 +17,82281621,Monocyte_CD16:ENSG00000141551 +17,82727712,Monocyte_CD16:ENSG00000141556 +17,82902375,Monocyte_CD16:ENSG00000141556 +17,82719531,Monocyte_CD16:ENSG00000141560 +17,82722573,Monocyte_CD16:ENSG00000141560 +17,82472928,Monocyte_CD16:ENSG00000141562 +17,82331408,Monocyte_CD16:ENSG00000141574 +17,82337056,Monocyte_CD16:ENSG00000141574 +17,82340387,Monocyte_CD16:ENSG00000141574 +17,82343254,Monocyte_CD16:ENSG00000141574 +17,82649954,Monocyte_CD16:ENSG00000141580 +17,41832349,Monocyte_CD16:ENSG00000141698 +17,41834813,Monocyte_CD16:ENSG00000141698 +17,42604012,Monocyte_CD16:ENSG00000141699 +17,56867160,Monocyte_CD16:ENSG00000153933 +17,59294803,Monocyte_CD16:ENSG00000153982 +17,18970536,Monocyte_CD16:ENSG00000154025 +17,67352261,Monocyte_CD16:ENSG00000154217 +17,66332695,Monocyte_CD16:ENSG00000154229 +17,66477154,Monocyte_CD16:ENSG00000154229 +17,17239384,Monocyte_CD16:ENSG00000154803 +17,81284987,Monocyte_CD16:ENSG00000157637 +17,81294933,Monocyte_CD16:ENSG00000157637 +17,81324790,Monocyte_CD16:ENSG00000157637 +17,47836481,Monocyte_CD16:ENSG00000159111 +17,48902090,Monocyte_CD16:ENSG00000159199 +17,48925859,Monocyte_CD16:ENSG00000159199 +17,48925859,Monocyte_CD16:ENSG00000159202 +17,48968500,Monocyte_CD16:ENSG00000159210 +17,45397074,Monocyte_CD16:ENSG00000159314 +17,63476833,Monocyte_CD16:ENSG00000159640 +17,1112873,Monocyte_CD16:ENSG00000159842 +17,28716541,Monocyte_CD16:ENSG00000160606 +17,39692424,Monocyte_CD16:ENSG00000161395 +17,74872953,Monocyte_CD16:ENSG00000161513 +17,75969269,Monocyte_CD16:ENSG00000161533 +17,76730689,Monocyte_CD16:ENSG00000161547 +17,4727901,Monocyte_CD16:ENSG00000161920 +17,4735189,Monocyte_CD16:ENSG00000161921 +17,4766452,Monocyte_CD16:ENSG00000161921 +17,5194278,Monocyte_CD16:ENSG00000161929 +17,5214540,Monocyte_CD16:ENSG00000161929 +17,5218787,Monocyte_CD16:ENSG00000161929 +17,5233181,Monocyte_CD16:ENSG00000161929 +17,5235009,Monocyte_CD16:ENSG00000161929 +17,7557640,Monocyte_CD16:ENSG00000161955 +17,7558933,Monocyte_CD16:ENSG00000161955 +17,7619261,Monocyte_CD16:ENSG00000161955 +17,7566274,Monocyte_CD16:ENSG00000161956 +17,7578970,Monocyte_CD16:ENSG00000161960 +17,76559024,Monocyte_CD16:ENSG00000163597 +17,76559666,Monocyte_CD16:ENSG00000163597 +17,55170249,Monocyte_CD16:ENSG00000166260 +17,54964496,Monocyte_CD16:ENSG00000166263 +17,8504167,Monocyte_CD16:ENSG00000166579 +17,16029804,Monocyte_CD16:ENSG00000166582 +17,35228375,Monocyte_CD16:ENSG00000166750 +17,35244290,Monocyte_CD16:ENSG00000166750 +17,49203553,Monocyte_CD16:ENSG00000167083 +17,1409452,Monocyte_CD16:ENSG00000167193 +17,79074594,Monocyte_CD16:ENSG00000167280 +17,79082873,Monocyte_CD16:ENSG00000167280 +17,28716541,Monocyte_CD16:ENSG00000167525 +17,29574519,Monocyte_CD16:ENSG00000167543 +17,916551,Monocyte_CD16:ENSG00000167693 +17,1575203,Monocyte_CD16:ENSG00000167703 +17,1734597,Monocyte_CD16:ENSG00000167711 +17,1735297,Monocyte_CD16:ENSG00000167716 +17,1764954,Monocyte_CD16:ENSG00000167716 +17,2304032,Monocyte_CD16:ENSG00000167720 +17,74511337,Monocyte_CD16:ENSG00000167850 +17,74516506,Monocyte_CD16:ENSG00000167850 +17,74555897,Monocyte_CD16:ENSG00000167850 +17,74558581,Monocyte_CD16:ENSG00000167850 +17,74573107,Monocyte_CD16:ENSG00000167850 +17,74443561,Monocyte_CD16:ENSG00000167851 +17,74465225,Monocyte_CD16:ENSG00000167851 +17,74466605,Monocyte_CD16:ENSG00000167851 +17,74478925,Monocyte_CD16:ENSG00000167851 +17,75046587,Monocyte_CD16:ENSG00000167863 +17,75051388,Monocyte_CD16:ENSG00000167863 +17,78123849,Monocyte_CD16:ENSG00000167895 +17,78127382,Monocyte_CD16:ENSG00000167895 +17,78187152,Monocyte_CD16:ENSG00000167900 +17,40842259,Monocyte_CD16:ENSG00000167920 +17,41856719,Monocyte_CD16:ENSG00000168610 +17,29590753,Monocyte_CD16:ENSG00000168792 +17,27631065,Monocyte_CD16:ENSG00000168961 +17,82419814,Monocyte_CD16:ENSG00000169660 +17,82037444,Monocyte_CD16:ENSG00000169738 +17,17612709,Monocyte_CD16:ENSG00000170160 +17,7455542,Monocyte_CD16:ENSG00000170175 +17,7473092,Monocyte_CD16:ENSG00000170175 +17,10699650,Monocyte_CD16:ENSG00000170222 +17,7258292,Monocyte_CD16:ENSG00000170291 +17,9395326,Monocyte_CD16:ENSG00000170310 +17,9437887,Monocyte_CD16:ENSG00000170310 +17,74443561,Monocyte_CD16:ENSG00000170412 +17,15862093,Monocyte_CD16:ENSG00000170425 +17,60191995,Monocyte_CD16:ENSG00000170832 +17,60444192,Monocyte_CD16:ENSG00000170832 +17,63060620,Monocyte_CD16:ENSG00000170921 +17,80090265,Monocyte_CD16:ENSG00000171298 +17,80101663,Monocyte_CD16:ENSG00000171298 +17,80119422,Monocyte_CD16:ENSG00000171298 +17,18572316,Monocyte_CD16:ENSG00000171916 +17,18041035,Monocyte_CD16:ENSG00000171953 +17,35433192,Monocyte_CD16:ENSG00000172123 +17,35433247,Monocyte_CD16:ENSG00000172123 +17,35433630,Monocyte_CD16:ENSG00000172123 +17,30871136,Monocyte_CD16:ENSG00000172171 +17,31844088,Monocyte_CD16:ENSG00000172301 +17,35341777,Monocyte_CD16:ENSG00000172716 +17,35406758,Monocyte_CD16:ENSG00000172716 +17,35487127,Monocyte_CD16:ENSG00000172716 +17,74682723,Monocyte_CD16:ENSG00000172794 +17,74203708,Monocyte_CD16:ENSG00000172809 +17,41788404,Monocyte_CD16:ENSG00000173801 +17,41704452,Monocyte_CD16:ENSG00000173812 +17,80417249,Monocyte_CD16:ENSG00000173818 +17,80274903,Monocyte_CD16:ENSG00000173821 +17,80307858,Monocyte_CD16:ENSG00000173821 +17,48542926,Monocyte_CD16:ENSG00000173917 +17,1549204,Monocyte_CD16:ENSG00000174238 +17,7477851,Monocyte_CD16:ENSG00000174282 +17,16439519,Monocyte_CD16:ENSG00000175061 +17,59425467,Monocyte_CD16:ENSG00000175155 +17,83043976,Monocyte_CD16:ENSG00000175711 +17,7258292,Monocyte_CD16:ENSG00000175826 +17,81007596,Monocyte_CD16:ENSG00000175866 +17,81008634,Monocyte_CD16:ENSG00000175866 +17,81032233,Monocyte_CD16:ENSG00000175866 +17,81051409,Monocyte_CD16:ENSG00000175866 +17,81088141,Monocyte_CD16:ENSG00000175866 +17,43407654,Monocyte_CD16:ENSG00000175906 +17,81008634,Monocyte_CD16:ENSG00000176108 +17,82173128,Monocyte_CD16:ENSG00000176155 +17,76381613,Monocyte_CD16:ENSG00000176170 +17,30751280,Monocyte_CD16:ENSG00000176390 +17,32797244,Monocyte_CD16:ENSG00000176658 +17,46742229,Monocyte_CD16:ENSG00000176681 +17,32492871,Monocyte_CD16:ENSG00000176749 +17,83114876,Monocyte_CD16:ENSG00000176845 +17,18350525,Monocyte_CD16:ENSG00000176974 +17,18363534,Monocyte_CD16:ENSG00000176974 +17,18363661,Monocyte_CD16:ENSG00000176974 +17,18318485,Monocyte_CD16:ENSG00000177302 +17,1002146,Monocyte_CD16:ENSG00000177370 +17,75398368,Monocyte_CD16:ENSG00000177885 +17,64043209,Monocyte_CD16:ENSG00000178607 +17,74516156,Monocyte_CD16:ENSG00000178789 +17,47310917,Monocyte_CD16:ENSG00000178852 +17,47324391,Monocyte_CD16:ENSG00000178852 +17,82450939,Monocyte_CD16:ENSG00000178927 +17,8247086,Monocyte_CD16:ENSG00000178971 +17,8163115,Monocyte_CD16:ENSG00000178977 +17,73311151,Monocyte_CD16:ENSG00000179604 +17,29046038,Monocyte_CD16:ENSG00000179761 +17,75051388,Monocyte_CD16:ENSG00000180901 +17,215929,Monocyte_CD16:ENSG00000181031 +17,223905,Monocyte_CD16:ENSG00000181031 +17,233526,Monocyte_CD16:ENSG00000181031 +17,234471,Monocyte_CD16:ENSG00000181031 +17,75844587,Monocyte_CD16:ENSG00000181038 +17,7536936,Monocyte_CD16:ENSG00000181222 +17,82411454,Monocyte_CD16:ENSG00000181396 +17,81005490,Monocyte_CD16:ENSG00000181409 +17,81148802,Monocyte_CD16:ENSG00000181409 +17,30940309,Monocyte_CD16:ENSG00000181481 +17,7269960,Monocyte_CD16:ENSG00000181885 +17,75516572,Monocyte_CD16:ENSG00000182173 +17,82442222,Monocyte_CD16:ENSG00000182446 +17,76710351,Monocyte_CD16:ENSG00000182534 +17,59150137,Monocyte_CD16:ENSG00000182628 +17,48521673,Monocyte_CD16:ENSG00000182742 +17,4755798,Monocyte_CD16:ENSG00000182853 +17,4766452,Monocyte_CD16:ENSG00000182853 +17,4789264,Monocyte_CD16:ENSG00000182853 +17,7839283,Monocyte_CD16:ENSG00000183011 +17,7848460,Monocyte_CD16:ENSG00000183011 +17,7856159,Monocyte_CD16:ENSG00000183011 +17,78189155,Monocyte_CD16:ENSG00000183077 +17,82009000,Monocyte_CD16:ENSG00000183684 +17,625017,Monocyte_CD16:ENSG00000183688 +17,670730,Monocyte_CD16:ENSG00000183688 +17,687838,Monocyte_CD16:ENSG00000183688 +17,81510330,Monocyte_CD16:ENSG00000184009 +17,21370525,Monocyte_CD16:ENSG00000184185 +17,8237909,Monocyte_CD16:ENSG00000184619 +17,77451504,Monocyte_CD16:ENSG00000184640 +17,77457531,Monocyte_CD16:ENSG00000184640 +17,45226241,Monocyte_CD16:ENSG00000184922 +17,81324790,Monocyte_CD16:ENSG00000185168 +17,76258002,Monocyte_CD16:ENSG00000185262 +17,81667003,Monocyte_CD16:ENSG00000185298 +17,81667003,Monocyte_CD16:ENSG00000185527 +17,1711518,Monocyte_CD16:ENSG00000185561 +17,46044213,Monocyte_CD16:ENSG00000185829 +17,46247949,Monocyte_CD16:ENSG00000185829 +17,46494702,Monocyte_CD16:ENSG00000185829 +17,46717192,Monocyte_CD16:ENSG00000185829 +17,31324211,Monocyte_CD16:ENSG00000185862 +17,74681018,Monocyte_CD16:ENSG00000186074 +17,74682723,Monocyte_CD16:ENSG00000186074 +17,40842259,Monocyte_CD16:ENSG00000186395 +17,40851042,Monocyte_CD16:ENSG00000186395 +17,74567460,Monocyte_CD16:ENSG00000186407 +17,74578571,Monocyte_CD16:ENSG00000186407 +17,74645301,Monocyte_CD16:ENSG00000186407 +17,1812802,Monocyte_CD16:ENSG00000186532 +17,15687236,Monocyte_CD16:ENSG00000187607 +17,399423,Monocyte_CD16:ENSG00000187624 +17,410351,Monocyte_CD16:ENSG00000187624 +17,16464806,Monocyte_CD16:ENSG00000187688 +17,10699650,Monocyte_CD16:ENSG00000187824 +17,43022008,Monocyte_CD16:ENSG00000188554 +17,43361216,Monocyte_CD16:ENSG00000188825 +17,40122783,Monocyte_CD16:ENSG00000188895 +17,59932550,Monocyte_CD16:ENSG00000189050 +17,29126727,Monocyte_CD16:ENSG00000196535 +17,68248437,Monocyte_CD16:ENSG00000196704 +17,31118938,Monocyte_CD16:ENSG00000196712 +17,67370978,Monocyte_CD16:ENSG00000197170 +17,16616111,Monocyte_CD16:ENSG00000197566 +17,63824520,Monocyte_CD16:ENSG00000198231 +17,28716541,Monocyte_CD16:ENSG00000198242 +17,43368042,Monocyte_CD16:ENSG00000198496 +17,49268485,Monocyte_CD16:ENSG00000198740 +17,49362261,Monocyte_CD16:ENSG00000198740 +17,49368588,Monocyte_CD16:ENSG00000198740 +17,49390658,Monocyte_CD16:ENSG00000198740 +17,8772628,Monocyte_CD16:ENSG00000198844 +17,63839593,Monocyte_CD16:ENSG00000198909 +17,47692185,Monocyte_CD16:ENSG00000198933 +17,81667003,Monocyte_CD16:ENSG00000204237 +17,78106522,Monocyte_CD16:ENSG00000204282 +17,4902094,Monocyte_CD16:ENSG00000205710 +17,21543169,Monocyte_CD16:ENSG00000212719 +17,3664718,Monocyte_CD16:ENSG00000213977 +17,3679301,Monocyte_CD16:ENSG00000213977 +17,81682485,Monocyte_CD16:ENSG00000214087 +17,56867160,Monocyte_CD16:ENSG00000214226 +17,45528659,Monocyte_CD16:ENSG00000214401 +17,45582609,Monocyte_CD16:ENSG00000214401 +17,46775246,Monocyte_CD16:ENSG00000214401 +17,30573690,Monocyte_CD16:ENSG00000214719 +17,15862093,Monocyte_CD16:ENSG00000214941 +17,15979608,Monocyte_CD16:ENSG00000214941 +17,7012114,Monocyte_CD16:ENSG00000215067 +17,7012114,Monocyte_CD16:ENSG00000219200 +17,7017569,Monocyte_CD16:ENSG00000219200 +17,8163115,Monocyte_CD16:ENSG00000220205 +17,8245212,Monocyte_CD16:ENSG00000220205 +17,15684261,Monocyte_CD16:ENSG00000221926 +17,29078026,Monocyte_CD16:ENSG00000221995 +17,81239341,Monocyte_CD16:ENSG00000224877 +17,81239762,Monocyte_CD16:ENSG00000224877 +17,45443309,Monocyte_CD16:ENSG00000225190 +17,81007596,Monocyte_CD16:ENSG00000226137 +17,81008634,Monocyte_CD16:ENSG00000226137 +17,81032120,Monocyte_CD16:ENSG00000226137 +17,81032233,Monocyte_CD16:ENSG00000226137 +17,45582609,Monocyte_CD16:ENSG00000228696 +17,46494702,Monocyte_CD16:ENSG00000228696 +17,46775246,Monocyte_CD16:ENSG00000228696 +17,48521673,Monocyte_CD16:ENSG00000230148 +17,46044213,Monocyte_CD16:ENSG00000232300 +17,27879388,Monocyte_CD16:ENSG00000232859 +17,5114198,Monocyte_CD16:ENSG00000234327 +17,21187224,Monocyte_CD16:ENSG00000235530 +17,13931991,Monocyte_CD16:ENSG00000236088 +17,1515689,Monocyte_CD16:ENSG00000236618 +17,45963260,Monocyte_CD16:ENSG00000238083 +17,46002988,Monocyte_CD16:ENSG00000238083 +17,46769315,Monocyte_CD16:ENSG00000238083 +17,51153819,Monocyte_CD16:ENSG00000239672 +17,7536422,Monocyte_CD16:ENSG00000239697 +17,7549435,Monocyte_CD16:ENSG00000239697 +17,18682274,Monocyte_CD16:ENSG00000240445 +17,687838,Monocyte_CD16:ENSG00000241525 +17,51166443,Monocyte_CD16:ENSG00000243678 +17,51166498,Monocyte_CD16:ENSG00000243678 +17,28351934,Monocyte_CD16:ENSG00000244045 +17,76001393,Monocyte_CD16:ENSG00000257949 +17,28731278,Monocyte_CD16:ENSG00000258472 +17,64506317,Monocyte_CD16:ENSG00000258890 +17,74567547,Monocyte_CD16:ENSG00000261222 +17,74567599,Monocyte_CD16:ENSG00000261222 +17,74568823,Monocyte_CD16:ENSG00000261222 +17,74603279,Monocyte_CD16:ENSG00000261222 +17,74605473,Monocyte_CD16:ENSG00000261222 +17,74615050,Monocyte_CD16:ENSG00000261222 +17,64301096,Monocyte_CD16:ENSG00000261371 +17,64325239,Monocyte_CD16:ENSG00000261371 +17,64325442,Monocyte_CD16:ENSG00000261371 +17,82603740,Monocyte_CD16:ENSG00000261845 +17,5233509,Monocyte_CD16:ENSG00000261879 +17,83107711,Monocyte_CD16:ENSG00000261888 +17,6989759,Monocyte_CD16:ENSG00000262089 +17,4797151,Monocyte_CD16:ENSG00000262165 +17,19273703,Monocyte_CD16:ENSG00000262202 +17,19281898,Monocyte_CD16:ENSG00000262202 +17,19302247,Monocyte_CD16:ENSG00000262202 +17,19346504,Monocyte_CD16:ENSG00000262202 +17,20131639,Monocyte_CD16:ENSG00000262319 +17,46105617,Monocyte_CD16:ENSG00000262372 +17,80201684,Monocyte_CD16:ENSG00000262580 +17,82920427,Monocyte_CD16:ENSG00000262663 +17,81398689,Monocyte_CD16:ENSG00000262877 +17,46775246,Monocyte_CD16:ENSG00000262879 +17,47100410,Monocyte_CD16:ENSG00000262879 +17,50691968,Monocyte_CD16:ENSG00000262967 +17,509199,Monocyte_CD16:ENSG00000263015 +17,5432738,Monocyte_CD16:ENSG00000263272 +17,30855866,Monocyte_CD16:ENSG00000263531 +17,30918357,Monocyte_CD16:ENSG00000263603 +17,75271437,Monocyte_CD16:ENSG00000263843 +17,38892863,Monocyte_CD16:ENSG00000263874 +17,74695746,Monocyte_CD16:ENSG00000264659 +17,75482171,Monocyte_CD16:ENSG00000264853 +17,47890061,Monocyte_CD16:ENSG00000264920 +17,47892239,Monocyte_CD16:ENSG00000264920 +17,47895614,Monocyte_CD16:ENSG00000264920 +17,67344350,Monocyte_CD16:ENSG00000265100 +17,68254381,Monocyte_CD16:ENSG00000265100 +17,58331728,Monocyte_CD16:ENSG00000265206 +17,29766095,Monocyte_CD16:ENSG00000265625 +17,40250938,Monocyte_CD16:ENSG00000265666 +17,82298635,Monocyte_CD16:ENSG00000265692 +17,28196966,Monocyte_CD16:ENSG00000265908 +17,30559080,Monocyte_CD16:ENSG00000266490 +17,15563734,Monocyte_CD16:ENSG00000266538 +17,14358452,Monocyte_CD16:ENSG00000266709 +17,75588744,Monocyte_CD16:ENSG00000266714 +17,75591977,Monocyte_CD16:ENSG00000266714 +17,30117165,Monocyte_CD16:ENSG00000266987 +17,30977096,Monocyte_CD16:ENSG00000266987 +17,44130516,Monocyte_CD16:ENSG00000267080 +17,78632201,Monocyte_CD16:ENSG00000267123 +17,35341777,Monocyte_CD16:ENSG00000267364 +17,70523913,Monocyte_CD16:ENSG00000267365 +17,60095086,Monocyte_CD16:ENSG00000267416 +17,35433192,Monocyte_CD16:ENSG00000267547 +17,35870269,Monocyte_CD16:ENSG00000270647 +17,64468504,Monocyte_CD16:ENSG00000271605 +17,64573621,Monocyte_CD16:ENSG00000271605 +17,64584116,Monocyte_CD16:ENSG00000271605 +17,222696,Monocyte_CD16:ENSG00000272636 +17,223631,Monocyte_CD16:ENSG00000272636 +17,233526,Monocyte_CD16:ENSG00000272636 +17,239392,Monocyte_CD16:ENSG00000272636 +17,247930,Monocyte_CD16:ENSG00000272636 +17,18572316,Monocyte_CD16:ENSG00000273018 +17,36487995,Monocyte_CD16:ENSG00000273611 +17,59674993,Monocyte_CD16:ENSG00000273702 +17,21252280,Monocyte_CD16:ENSG00000274180 +17,38234247,Monocyte_CD16:ENSG00000274419 +17,38257723,Monocyte_CD16:ENSG00000274419 +17,38276119,Monocyte_CD16:ENSG00000274512 +17,68101598,Monocyte_CD16:ENSG00000274561 +17,68207443,Monocyte_CD16:ENSG00000274712 +17,37539039,Monocyte_CD16:ENSG00000275066 +17,36463908,Monocyte_CD16:ENSG00000276085 +17,37491071,Monocyte_CD16:ENSG00000276234 +17,15787479,Monocyte_CD16:ENSG00000276855 +17,68101598,Monocyte_CD16:ENSG00000277476 +17,37705766,Monocyte_CD16:ENSG00000277501 +17,38752259,Monocyte_CD16:ENSG00000277791 +17,38752808,Monocyte_CD16:ENSG00000277791 +17,38765002,Monocyte_CD16:ENSG00000277791 +17,38765943,Monocyte_CD16:ENSG00000277791 +17,38704674,Monocyte_CD16:ENSG00000277969 +17,38737399,Monocyte_CD16:ENSG00000277972 +17,37608986,Monocyte_CD16:ENSG00000278053 +17,36499862,Monocyte_CD16:ENSG00000278259 +17,36541028,Monocyte_CD16:ENSG00000278311 +17,68101598,Monocyte_CD16:ENSG00000278730 +15,64070950,Monocyte_CD16:ENSG00000028528 +15,68038087,Monocyte_CD16:ENSG00000033800 +15,68054731,Monocyte_CD16:ENSG00000033800 +15,78548878,Monocyte_CD16:ENSG00000041357 +15,83024761,Monocyte_CD16:ENSG00000064726 +15,71956838,Monocyte_CD16:ENSG00000067225 +15,99474432,Monocyte_CD16:ENSG00000068305 +15,99497724,Monocyte_CD16:ENSG00000068305 +15,55949380,Monocyte_CD16:ENSG00000069869 +15,55981248,Monocyte_CD16:ENSG00000069869 +15,55999375,Monocyte_CD16:ENSG00000069869 +15,55324033,Monocyte_CD16:ENSG00000069943 +15,52172539,Monocyte_CD16:ENSG00000069966 +15,55221403,Monocyte_CD16:ENSG00000069974 +15,85001898,Monocyte_CD16:ENSG00000073417 +15,65545106,Monocyte_CD16:ENSG00000074696 +15,66498518,Monocyte_CD16:ENSG00000075131 +15,50976097,Monocyte_CD16:ENSG00000081014 +15,80088994,Monocyte_CD16:ENSG00000086666 +15,65119371,Monocyte_CD16:ENSG00000090470 +15,64994508,Monocyte_CD16:ENSG00000090487 +15,42493962,Monocyte_CD16:ENSG00000092531 +15,42495261,Monocyte_CD16:ENSG00000092531 +15,58146960,Monocyte_CD16:ENSG00000103569 +15,67351925,Monocyte_CD16:ENSG00000103591 +15,63114974,Monocyte_CD16:ENSG00000103642 +15,63136863,Monocyte_CD16:ENSG00000103642 +15,74810582,Monocyte_CD16:ENSG00000103653 +15,63733857,Monocyte_CD16:ENSG00000103657 +15,64380394,Monocyte_CD16:ENSG00000103671 +15,82712096,Monocyte_CD16:ENSG00000103723 +15,65845547,Monocyte_CD16:ENSG00000103769 +15,78693000,Monocyte_CD16:ENSG00000103811 +15,78928207,Monocyte_CD16:ENSG00000103811 +15,78936857,Monocyte_CD16:ENSG00000103811 +15,78937302,Monocyte_CD16:ENSG00000103811 +15,99236982,Monocyte_CD16:ENSG00000103852 +15,79155099,Monocyte_CD16:ENSG00000103876 +15,80152950,Monocyte_CD16:ENSG00000103876 +15,41523992,Monocyte_CD16:ENSG00000103932 +15,41927762,Monocyte_CD16:ENSG00000103966 +15,43487808,Monocyte_CD16:ENSG00000103994 +15,48724827,Monocyte_CD16:ENSG00000103995 +15,50113047,Monocyte_CD16:ENSG00000104043 +15,50134767,Monocyte_CD16:ENSG00000104043 +15,49591382,Monocyte_CD16:ENSG00000104047 +15,40108921,Monocyte_CD16:ENSG00000104081 +15,51490815,Monocyte_CD16:ENSG00000104093 +15,51516376,Monocyte_CD16:ENSG00000104093 +15,45782003,Monocyte_CD16:ENSG00000104164 +15,48329639,Monocyte_CD16:ENSG00000104177 +15,80986795,Monocyte_CD16:ENSG00000117899 +15,76925951,Monocyte_CD16:ENSG00000117906 +15,77458957,Monocyte_CD16:ENSG00000117906 +15,24958411,Monocyte_CD16:ENSG00000128739 +15,40029150,Monocyte_CD16:ENSG00000128829 +15,40038363,Monocyte_CD16:ENSG00000128829 +15,51650336,Monocyte_CD16:ENSG00000128872 +15,51872263,Monocyte_CD16:ENSG00000128872 +15,42887550,Monocyte_CD16:ENSG00000128881 +15,40556090,Monocyte_CD16:ENSG00000128891 +15,40563011,Monocyte_CD16:ENSG00000128891 +15,60479090,Monocyte_CD16:ENSG00000128915 +15,40361837,Monocyte_CD16:ENSG00000128928 +15,40368812,Monocyte_CD16:ENSG00000128928 +15,40383292,Monocyte_CD16:ENSG00000128928 +15,40383292,Monocyte_CD16:ENSG00000128944 +15,48305317,Monocyte_CD16:ENSG00000128951 +15,48324479,Monocyte_CD16:ENSG00000128951 +15,68233161,Monocyte_CD16:ENSG00000128973 +15,52556193,Monocyte_CD16:ENSG00000128989 +15,62046263,Monocyte_CD16:ENSG00000129003 +15,68193806,Monocyte_CD16:ENSG00000129007 +15,68233161,Monocyte_CD16:ENSG00000129007 +15,74417064,Monocyte_CD16:ENSG00000129038 +15,101192512,Monocyte_CD16:ENSG00000131873 +15,101239658,Monocyte_CD16:ENSG00000131873 +15,79843787,Monocyte_CD16:ENSG00000136371 +15,79899001,Monocyte_CD16:ENSG00000136371 +15,78431914,Monocyte_CD16:ENSG00000136381 +15,78493460,Monocyte_CD16:ENSG00000136381 +15,83092896,Monocyte_CD16:ENSG00000136404 +15,78131254,Monocyte_CD16:ENSG00000136425 +15,78168251,Monocyte_CD16:ENSG00000136425 +15,67568249,Monocyte_CD16:ENSG00000137764 +15,45631817,Monocyte_CD16:ENSG00000137767 +15,39376669,Monocyte_CD16:ENSG00000137801 +15,41774339,Monocyte_CD16:ENSG00000137802 +15,41348879,Monocyte_CD16:ENSG00000137804 +15,41402441,Monocyte_CD16:ENSG00000137806 +15,40697193,Monocyte_CD16:ENSG00000137812 +15,69367888,Monocyte_CD16:ENSG00000137818 +15,69436191,Monocyte_CD16:ENSG00000137818 +15,43326453,Monocyte_CD16:ENSG00000137822 +15,43790232,Monocyte_CD16:ENSG00000137822 +15,70821291,Monocyte_CD16:ENSG00000137831 +15,70845218,Monocyte_CD16:ENSG00000137831 +15,40301738,Monocyte_CD16:ENSG00000137841 +15,40304360,Monocyte_CD16:ENSG00000137841 +15,58478324,Monocyte_CD16:ENSG00000137845 +15,58510279,Monocyte_CD16:ENSG00000137845 +15,55152815,Monocyte_CD16:ENSG00000137876 +15,55193813,Monocyte_CD16:ENSG00000137876 +15,40697193,Monocyte_CD16:ENSG00000137880 +15,50441001,Monocyte_CD16:ENSG00000138592 +15,49054010,Monocyte_CD16:ENSG00000138593 +15,51802219,Monocyte_CD16:ENSG00000138594 +15,51872263,Monocyte_CD16:ENSG00000138594 +15,50662750,Monocyte_CD16:ENSG00000138600 +15,69131804,Monocyte_CD16:ENSG00000138604 +15,65286695,Monocyte_CD16:ENSG00000138617 +15,75033423,Monocyte_CD16:ENSG00000138621 +15,75693328,Monocyte_CD16:ENSG00000138621 +15,74461084,Monocyte_CD16:ENSG00000138629 +15,22942334,Monocyte_CD16:ENSG00000140157 +15,34332237,Monocyte_CD16:ENSG00000140199 +15,43790232,Monocyte_CD16:ENSG00000140264 +15,43881901,Monocyte_CD16:ENSG00000140264 +15,51923283,Monocyte_CD16:ENSG00000140280 +15,59674354,Monocyte_CD16:ENSG00000140299 +15,59687323,Monocyte_CD16:ENSG00000140307 +15,40009069,Monocyte_CD16:ENSG00000140319 +15,40036091,Monocyte_CD16:ENSG00000140319 +15,40038363,Monocyte_CD16:ENSG00000140319 +15,70261384,Monocyte_CD16:ENSG00000140332 +15,70466563,Monocyte_CD16:ENSG00000140332 +15,75336073,Monocyte_CD16:ENSG00000140365 +15,75585373,Monocyte_CD16:ENSG00000140365 +15,77037329,Monocyte_CD16:ENSG00000140368 +15,76204876,Monocyte_CD16:ENSG00000140374 +15,76311338,Monocyte_CD16:ENSG00000140374 +15,79899001,Monocyte_CD16:ENSG00000140379 +15,76346850,Monocyte_CD16:ENSG00000140386 +15,78313828,Monocyte_CD16:ENSG00000140395 +15,75620548,Monocyte_CD16:ENSG00000140400 +15,78313828,Monocyte_CD16:ENSG00000140403 +15,63048028,Monocyte_CD16:ENSG00000140416 +15,63105119,Monocyte_CD16:ENSG00000140416 +15,98547463,Monocyte_CD16:ENSG00000140443 +15,97961645,Monocyte_CD16:ENSG00000140450 +15,73997257,Monocyte_CD16:ENSG00000140464 +15,100553922,Monocyte_CD16:ENSG00000140471 +15,74839320,Monocyte_CD16:ENSG00000140474 +15,89064211,Monocyte_CD16:ENSG00000140526 +15,89069059,Monocyte_CD16:ENSG00000140526 +15,89070513,Monocyte_CD16:ENSG00000140526 +15,89087901,Monocyte_CD16:ENSG00000140526 +15,88912537,Monocyte_CD16:ENSG00000140545 +15,90077480,Monocyte_CD16:ENSG00000140548 +15,90083119,Monocyte_CD16:ENSG00000140548 +15,90947567,Monocyte_CD16:ENSG00000140553 +15,94206686,Monocyte_CD16:ENSG00000140563 +15,94259533,Monocyte_CD16:ENSG00000140563 +15,90808700,Monocyte_CD16:ENSG00000140564 +15,90466252,Monocyte_CD16:ENSG00000140575 +15,84717037,Monocyte_CD16:ENSG00000140612 +15,100938754,Monocyte_CD16:ENSG00000154237 +15,82824032,Monocyte_CD16:ENSG00000156232 +15,49712315,Monocyte_CD16:ENSG00000156958 +15,59372281,Monocyte_CD16:ENSG00000157483 +15,89863887,Monocyte_CD16:ENSG00000157823 +15,89864201,Monocyte_CD16:ENSG00000157823 +15,72736727,Monocyte_CD16:ENSG00000159322 +15,76336395,Monocyte_CD16:ENSG00000159556 +15,38069246,Monocyte_CD16:ENSG00000166068 +15,63203962,Monocyte_CD16:ENSG00000166128 +15,40847504,Monocyte_CD16:ENSG00000166145 +15,40857481,Monocyte_CD16:ENSG00000166145 +15,49690947,Monocyte_CD16:ENSG00000166262 +15,78168251,Monocyte_CD16:ENSG00000166411 +15,55744805,Monocyte_CD16:ENSG00000166450 +15,83980555,Monocyte_CD16:ENSG00000166503 +15,79307906,Monocyte_CD16:ENSG00000166557 +15,79311418,Monocyte_CD16:ENSG00000166557 +15,43655847,Monocyte_CD16:ENSG00000166762 +15,64144256,Monocyte_CD16:ENSG00000166797 +15,89765402,Monocyte_CD16:ENSG00000166823 +15,89814887,Monocyte_CD16:ENSG00000166825 +15,89876597,Monocyte_CD16:ENSG00000166825 +15,64895021,Monocyte_CD16:ENSG00000166839 +15,30929794,Monocyte_CD16:ENSG00000166912 +15,66274139,Monocyte_CD16:ENSG00000166938 +15,66302753,Monocyte_CD16:ENSG00000166938 +15,43202359,Monocyte_CD16:ENSG00000166946 +15,67029048,Monocyte_CD16:ENSG00000166949 +15,67075368,Monocyte_CD16:ENSG00000166949 +15,43727590,Monocyte_CD16:ENSG00000167004 +15,75117253,Monocyte_CD16:ENSG00000167173 +15,77984075,Monocyte_CD16:ENSG00000167202 +15,43335657,Monocyte_CD16:ENSG00000168803 +15,64198729,Monocyte_CD16:ENSG00000169118 +15,75631038,Monocyte_CD16:ENSG00000169371 +15,82945511,Monocyte_CD16:ENSG00000169609 +15,83011535,Monocyte_CD16:ENSG00000169609 +15,78548878,Monocyte_CD16:ENSG00000169684 +15,33989154,Monocyte_CD16:ENSG00000169857 +15,85498031,Monocyte_CD16:ENSG00000170776 +15,85708269,Monocyte_CD16:ENSG00000170776 +15,38775389,Monocyte_CD16:ENSG00000171262 +15,45356074,Monocyte_CD16:ENSG00000171763 +15,45356074,Monocyte_CD16:ENSG00000171766 +15,88630325,Monocyte_CD16:ENSG00000172183 +15,81297996,Monocyte_CD16:ENSG00000172349 +15,66494184,Monocyte_CD16:ENSG00000174446 +15,34569123,Monocyte_CD16:ENSG00000175265 +15,34572882,Monocyte_CD16:ENSG00000175265 +15,91307712,Monocyte_CD16:ENSG00000176463 +15,91909706,Monocyte_CD16:ENSG00000176463 +15,75620548,Monocyte_CD16:ENSG00000177971 +15,75117253,Monocyte_CD16:ENSG00000178718 +15,74938161,Monocyte_CD16:ENSG00000178741 +15,74903835,Monocyte_CD16:ENSG00000178802 +15,79891304,Monocyte_CD16:ENSG00000180953 +15,42545300,Monocyte_CD16:ENSG00000180979 +15,90094218,Monocyte_CD16:ENSG00000182054 +15,34340656,Monocyte_CD16:ENSG00000182117 +15,90808700,Monocyte_CD16:ENSG00000182511 +15,90871776,Monocyte_CD16:ENSG00000182511 +15,90884462,Monocyte_CD16:ENSG00000182511 +15,90885359,Monocyte_CD16:ENSG00000182511 +15,90886007,Monocyte_CD16:ENSG00000182511 +15,23687320,Monocyte_CD16:ENSG00000182636 +15,60395031,Monocyte_CD16:ENSG00000182718 +15,60400447,Monocyte_CD16:ENSG00000182718 +15,90272055,Monocyte_CD16:ENSG00000182768 +15,82550590,Monocyte_CD16:ENSG00000182774 +15,90232681,Monocyte_CD16:ENSG00000183208 +15,101718008,Monocyte_CD16:ENSG00000184277 +15,90922419,Monocyte_CD16:ENSG00000184508 +15,90175653,Monocyte_CD16:ENSG00000185033 +15,90234211,Monocyte_CD16:ENSG00000185043 +15,90235843,Monocyte_CD16:ENSG00000185043 +15,63154000,Monocyte_CD16:ENSG00000185088 +15,78890921,Monocyte_CD16:ENSG00000185787 +15,44723338,Monocyte_CD16:ENSG00000185880 +15,44729507,Monocyte_CD16:ENSG00000185880 +15,31413710,Monocyte_CD16:ENSG00000186399 +15,41264197,Monocyte_CD16:ENSG00000187446 +15,89814887,Monocyte_CD16:ENSG00000188095 +15,82271865,Monocyte_CD16:ENSG00000188659 +15,67521033,Monocyte_CD16:ENSG00000189227 +15,90906472,Monocyte_CD16:ENSG00000196547 +15,90808700,Monocyte_CD16:ENSG00000197299 +15,52524819,Monocyte_CD16:ENSG00000197535 +15,35020730,Monocyte_CD16:ENSG00000198146 +15,30869457,Monocyte_CD16:ENSG00000198690 +15,62114163,Monocyte_CD16:ENSG00000205502 +15,62119315,Monocyte_CD16:ENSG00000205502 +15,25778405,Monocyte_CD16:ENSG00000206190 +15,25790463,Monocyte_CD16:ENSG00000206190 +15,72355100,Monocyte_CD16:ENSG00000213614 +15,34581062,Monocyte_CD16:ENSG00000215252 +15,24958411,Monocyte_CD16:ENSG00000224078 +15,55324033,Monocyte_CD16:ENSG00000225973 +15,64895021,Monocyte_CD16:ENSG00000241839 +15,89911525,Monocyte_CD16:ENSG00000242498 +15,41774339,Monocyte_CD16:ENSG00000243789 +15,50356743,Monocyte_CD16:ENSG00000244879 +15,60400447,Monocyte_CD16:ENSG00000245534 +15,40697193,Monocyte_CD16:ENSG00000245849 +15,40735704,Monocyte_CD16:ENSG00000245849 +15,65119371,Monocyte_CD16:ENSG00000246922 +15,41284963,Monocyte_CD16:ENSG00000247556 +15,40038428,Monocyte_CD16:ENSG00000248508 +15,57712690,Monocyte_CD16:ENSG00000255529 +15,55498154,Monocyte_CD16:ENSG00000256061 +15,83850101,Monocyte_CD16:ENSG00000256278 +15,93865655,Monocyte_CD16:ENSG00000258476 +15,68906046,Monocyte_CD16:ENSG00000258484 +15,38004865,Monocyte_CD16:ENSG00000259225 +15,38069246,Monocyte_CD16:ENSG00000259225 +15,63666723,Monocyte_CD16:ENSG00000259248 +15,58336528,Monocyte_CD16:ENSG00000259250 +15,59177714,Monocyte_CD16:ENSG00000259250 +15,99794161,Monocyte_CD16:ENSG00000259363 +15,99855603,Monocyte_CD16:ENSG00000259363 +15,99926445,Monocyte_CD16:ENSG00000259363 +15,58736329,Monocyte_CD16:ENSG00000259402 +15,84746690,Monocyte_CD16:ENSG00000259453 +15,45321551,Monocyte_CD16:ENSG00000259520 +15,79899001,Monocyte_CD16:ENSG00000259642 +15,67521033,Monocyte_CD16:ENSG00000259673 +15,50356743,Monocyte_CD16:ENSG00000259715 +15,75631038,Monocyte_CD16:ENSG00000260274 +15,55446076,Monocyte_CD16:ENSG00000260916 +15,31881042,Monocyte_CD16:ENSG00000261064 +15,40857481,Monocyte_CD16:ENSG00000261183 +15,24595403,Monocyte_CD16:ENSG00000261529 +15,72950099,Monocyte_CD16:ENSG00000261632 +15,55505238,Monocyte_CD16:ENSG00000261652 +15,57598173,Monocyte_CD16:ENSG00000263155 +15,30489919,Monocyte_CD16:ENSG00000269930 +15,76915515,Monocyte_CD16:ENSG00000269951 +15,31413710,Monocyte_CD16:ENSG00000270055 +15,100553922,Monocyte_CD16:ENSG00000270127 +15,22868120,Monocyte_CD16:ENSG00000273749 +15,40288963,Monocyte_CD16:ENSG00000273855 +15,40304360,Monocyte_CD16:ENSG00000273855 +15,45269706,Monocyte_CD16:ENSG00000273972 +15,45692803,Monocyte_CD16:ENSG00000273972 +15,64954470,Monocyte_CD16:ENSG00000274383 +15,84033692,Monocyte_CD16:ENSG00000275120 +15,84658188,Monocyte_CD16:ENSG00000275120 +15,43558231,Monocyte_CD16:ENSG00000275601 +15,84655131,Monocyte_CD16:ENSG00000276278 +15,79891304,Monocyte_CD16:ENSG00000278600 +15,82572773,Monocyte_CD16:ENSG00000278662 +15,55193813,Monocyte_CD16:ENSG00000279145 +15,98547463,Monocyte_CD16:ENSG00000283597 +15,50404384,Monocyte_CD16:ENSG00000285410 +15,79899001,Monocyte_CD16:ENSG00000286813 +15,79938215,Monocyte_CD16:ENSG00000286813 +15,83108623,Monocyte_CD16:ENSG00000286872 +15,64868190,Monocyte_CD16:ENSG00000287494 +15,64873237,Monocyte_CD16:ENSG00000287494 +11,3356105,Monocyte_CD16:ENSG00000005801 +11,68010288,Monocyte_CD16:ENSG00000006534 +11,65248702,Monocyte_CD16:ENSG00000014138 +11,65180806,Monocyte_CD16:ENSG00000014216 +11,94478882,Monocyte_CD16:ENSG00000020922 +11,3157330,Monocyte_CD16:ENSG00000021762 +11,3164967,Monocyte_CD16:ENSG00000021762 +11,123413512,Monocyte_CD16:ENSG00000023171 +11,499944,Monocyte_CD16:ENSG00000023191 +11,517369,Monocyte_CD16:ENSG00000023191 +11,47247608,Monocyte_CD16:ENSG00000025434 +11,35046469,Monocyte_CD16:ENSG00000026508 +11,35048521,Monocyte_CD16:ENSG00000026508 +11,35141855,Monocyte_CD16:ENSG00000026508 +11,35296847,Monocyte_CD16:ENSG00000026508 +11,35311858,Monocyte_CD16:ENSG00000026508 +11,35345313,Monocyte_CD16:ENSG00000026508 +11,47756368,Monocyte_CD16:ENSG00000030066 +11,32091022,Monocyte_CD16:ENSG00000049449 +11,2476903,Monocyte_CD16:ENSG00000053918 +11,73416426,Monocyte_CD16:ENSG00000054967 +11,32892577,Monocyte_CD16:ENSG00000060749 +11,124636616,Monocyte_CD16:ENSG00000064199 +11,2192028,Monocyte_CD16:ENSG00000064201 +11,2300420,Monocyte_CD16:ENSG00000064201 +11,2306357,Monocyte_CD16:ENSG00000064201 +11,47354812,Monocyte_CD16:ENSG00000066336 +11,17273241,Monocyte_CD16:ENSG00000070081 +11,10541543,Monocyte_CD16:ENSG00000072952 +11,10550044,Monocyte_CD16:ENSG00000072952 +11,10555304,Monocyte_CD16:ENSG00000072952 +11,10602814,Monocyte_CD16:ENSG00000072952 +11,10606164,Monocyte_CD16:ENSG00000072952 +11,10655826,Monocyte_CD16:ENSG00000072952 +11,85545810,Monocyte_CD16:ENSG00000073921 +11,77628622,Monocyte_CD16:ENSG00000074201 +11,86248322,Monocyte_CD16:ENSG00000074266 +11,108127399,Monocyte_CD16:ENSG00000075239 +11,95775873,Monocyte_CD16:ENSG00000077458 +11,90134246,Monocyte_CD16:ENSG00000077616 +11,90140450,Monocyte_CD16:ENSG00000077616 +11,90187243,Monocyte_CD16:ENSG00000077616 +11,67584060,Monocyte_CD16:ENSG00000084207 +11,67599004,Monocyte_CD16:ENSG00000084207 +11,129832091,Monocyte_CD16:ENSG00000084234 +11,33736224,Monocyte_CD16:ENSG00000085063 +11,44570719,Monocyte_CD16:ENSG00000085117 +11,118781860,Monocyte_CD16:ENSG00000095139 +11,499944,Monocyte_CD16:ENSG00000099849 +11,88313108,Monocyte_CD16:ENSG00000109861 +11,88335833,Monocyte_CD16:ENSG00000109861 +11,88348506,Monocyte_CD16:ENSG00000109861 +11,88356072,Monocyte_CD16:ENSG00000109861 +11,47756368,Monocyte_CD16:ENSG00000109920 +11,121293341,Monocyte_CD16:ENSG00000109929 +11,122877843,Monocyte_CD16:ENSG00000109943 +11,124636616,Monocyte_CD16:ENSG00000110013 +11,65037218,Monocyte_CD16:ENSG00000110025 +11,58472280,Monocyte_CD16:ENSG00000110031 +11,67994228,Monocyte_CD16:ENSG00000110057 +11,125888857,Monocyte_CD16:ENSG00000110060 +11,126330195,Monocyte_CD16:ENSG00000110063 +11,126260337,Monocyte_CD16:ENSG00000110074 +11,60183960,Monocyte_CD16:ENSG00000110077 +11,60252639,Monocyte_CD16:ENSG00000110079 +11,60274516,Monocyte_CD16:ENSG00000110079 +11,60280507,Monocyte_CD16:ENSG00000110079 +11,60294639,Monocyte_CD16:ENSG00000110079 +11,72141080,Monocyte_CD16:ENSG00000110200 +11,72133929,Monocyte_CD16:ENSG00000110203 +11,72134050,Monocyte_CD16:ENSG00000110203 +11,72141080,Monocyte_CD16:ENSG00000110203 +11,94128854,Monocyte_CD16:ENSG00000110218 +11,117312934,Monocyte_CD16:ENSG00000110274 +11,117325719,Monocyte_CD16:ENSG00000110274 +11,10516174,Monocyte_CD16:ENSG00000110315 +11,10623494,Monocyte_CD16:ENSG00000110315 +11,10638342,Monocyte_CD16:ENSG00000110315 +11,10898154,Monocyte_CD16:ENSG00000110321 +11,117964242,Monocyte_CD16:ENSG00000110324 +11,118701396,Monocyte_CD16:ENSG00000110367 +11,119304365,Monocyte_CD16:ENSG00000110395 +11,33117873,Monocyte_CD16:ENSG00000110422 +11,33199119,Monocyte_CD16:ENSG00000110422 +11,34880331,Monocyte_CD16:ENSG00000110435 +11,36371988,Monocyte_CD16:ENSG00000110442 +11,60952133,Monocyte_CD16:ENSG00000110446 +11,44066439,Monocyte_CD16:ENSG00000110455 +11,47285079,Monocyte_CD16:ENSG00000110514 +11,2902596,Monocyte_CD16:ENSG00000110628 +11,2915092,Monocyte_CD16:ENSG00000110628 +11,2921363,Monocyte_CD16:ENSG00000110628 +11,2192028,Monocyte_CD16:ENSG00000110651 +11,2301990,Monocyte_CD16:ENSG00000110651 +11,2313510,Monocyte_CD16:ENSG00000110651 +11,2378019,Monocyte_CD16:ENSG00000110651 +11,2387394,Monocyte_CD16:ENSG00000110651 +11,2192028,Monocyte_CD16:ENSG00000110665 +11,2302389,Monocyte_CD16:ENSG00000110665 +11,2306357,Monocyte_CD16:ENSG00000110665 +11,17046383,Monocyte_CD16:ENSG00000110700 +11,17099639,Monocyte_CD16:ENSG00000110700 +11,17102306,Monocyte_CD16:ENSG00000110700 +11,68032459,Monocyte_CD16:ENSG00000110717 +11,68037138,Monocyte_CD16:ENSG00000110717 +11,68037138,Monocyte_CD16:ENSG00000110719 +11,68040649,Monocyte_CD16:ENSG00000110719 +11,68137273,Monocyte_CD16:ENSG00000110721 +11,18311700,Monocyte_CD16:ENSG00000110756 +11,18355484,Monocyte_CD16:ENSG00000110768 +11,1750567,Monocyte_CD16:ENSG00000117984 +11,1772233,Monocyte_CD16:ENSG00000117984 +11,1788323,Monocyte_CD16:ENSG00000117984 +11,1852991,Monocyte_CD16:ENSG00000117984 +11,119005503,Monocyte_CD16:ENSG00000118181 +11,119018363,Monocyte_CD16:ENSG00000118181 +11,74793963,Monocyte_CD16:ENSG00000118363 +11,130903181,Monocyte_CD16:ENSG00000120451 +11,45808647,Monocyte_CD16:ENSG00000121671 +11,34432600,Monocyte_CD16:ENSG00000121691 +11,34467283,Monocyte_CD16:ENSG00000121691 +11,88175178,Monocyte_CD16:ENSG00000123892 +11,88296197,Monocyte_CD16:ENSG00000123892 +11,62429955,Monocyte_CD16:ENSG00000124942 +11,62457648,Monocyte_CD16:ENSG00000124942 +11,62567436,Monocyte_CD16:ENSG00000124942 +11,62762569,Monocyte_CD16:ENSG00000124942 +11,64311471,Monocyte_CD16:ENSG00000126432 +11,14428630,Monocyte_CD16:ENSG00000129083 +11,2825839,Monocyte_CD16:ENSG00000129757 +11,2837224,Monocyte_CD16:ENSG00000129757 +11,2837406,Monocyte_CD16:ENSG00000129757 +11,1839995,Monocyte_CD16:ENSG00000130592 +11,1844782,Monocyte_CD16:ENSG00000130592 +11,1852991,Monocyte_CD16:ENSG00000130592 +11,1853615,Monocyte_CD16:ENSG00000130592 +11,1861944,Monocyte_CD16:ENSG00000130592 +11,1844782,Monocyte_CD16:ENSG00000130598 +11,1852991,Monocyte_CD16:ENSG00000130598 +11,1853062,Monocyte_CD16:ENSG00000130598 +11,1853174,Monocyte_CD16:ENSG00000130598 +11,1908971,Monocyte_CD16:ENSG00000130598 +11,1955076,Monocyte_CD16:ENSG00000130598 +11,5668773,Monocyte_CD16:ENSG00000132256 +11,5701416,Monocyte_CD16:ENSG00000132274 +11,6481897,Monocyte_CD16:ENSG00000132286 +11,7196320,Monocyte_CD16:ENSG00000132286 +11,68900969,Monocyte_CD16:ENSG00000132740 +11,67666287,Monocyte_CD16:ENSG00000132744 +11,63507630,Monocyte_CD16:ENSG00000133317 +11,63671500,Monocyte_CD16:ENSG00000133318 +11,63685495,Monocyte_CD16:ENSG00000133318 +11,63507630,Monocyte_CD16:ENSG00000133321 +11,63566746,Monocyte_CD16:ENSG00000133321 +11,9611176,Monocyte_CD16:ENSG00000133789 +11,9738371,Monocyte_CD16:ENSG00000133789 +11,13277932,Monocyte_CD16:ENSG00000133794 +11,10514244,Monocyte_CD16:ENSG00000133805 +11,12134434,Monocyte_CD16:ENSG00000133816 +11,65352920,Monocyte_CD16:ENSG00000133884 +11,18383944,Monocyte_CD16:ENSG00000134333 +11,47354812,Monocyte_CD16:ENSG00000134571 +11,47232459,Monocyte_CD16:ENSG00000134574 +11,47247608,Monocyte_CD16:ENSG00000134575 +11,57516515,Monocyte_CD16:ENSG00000134809 +11,57536819,Monocyte_CD16:ENSG00000134809 +11,61828092,Monocyte_CD16:ENSG00000134824 +11,61792563,Monocyte_CD16:ENSG00000134825 +11,61792596,Monocyte_CD16:ENSG00000134825 +11,61792609,Monocyte_CD16:ENSG00000134825 +11,129333049,Monocyte_CD16:ENSG00000134909 +11,125609938,Monocyte_CD16:ENSG00000134910 +11,125102936,Monocyte_CD16:ENSG00000134955 +11,36392384,Monocyte_CD16:ENSG00000135362 +11,36427273,Monocyte_CD16:ENSG00000135362 +11,33870087,Monocyte_CD16:ENSG00000135363 +11,32581739,Monocyte_CD16:ENSG00000135378 +11,75399545,Monocyte_CD16:ENSG00000137486 +11,71960554,Monocyte_CD16:ENSG00000137496 +11,72041114,Monocyte_CD16:ENSG00000137497 +11,83308724,Monocyte_CD16:ENSG00000137500 +11,82880150,Monocyte_CD16:ENSG00000137509 +11,78574830,Monocyte_CD16:ENSG00000137513 +11,121448826,Monocyte_CD16:ENSG00000137642 +11,101551582,Monocyte_CD16:ENSG00000137672 +11,101710737,Monocyte_CD16:ENSG00000137672 +11,103083367,Monocyte_CD16:ENSG00000137692 +11,110311962,Monocyte_CD16:ENSG00000137710 +11,111955787,Monocyte_CD16:ENSG00000137713 +11,110376298,Monocyte_CD16:ENSG00000137714 +11,110425755,Monocyte_CD16:ENSG00000137714 +11,111612920,Monocyte_CD16:ENSG00000137720 +11,105149901,Monocyte_CD16:ENSG00000137752 +11,104971653,Monocyte_CD16:ENSG00000137757 +11,107523253,Monocyte_CD16:ENSG00000137760 +11,297057,Monocyte_CD16:ENSG00000142089 +11,315299,Monocyte_CD16:ENSG00000142089 +11,320166,Monocyte_CD16:ENSG00000142089 +11,320836,Monocyte_CD16:ENSG00000142089 +11,354749,Monocyte_CD16:ENSG00000142089 +11,290233,Monocyte_CD16:ENSG00000142102 +11,297057,Monocyte_CD16:ENSG00000142102 +11,13517154,Monocyte_CD16:ENSG00000148925 +11,3665009,Monocyte_CD16:ENSG00000148985 +11,43856935,Monocyte_CD16:ENSG00000149084 +11,34860673,Monocyte_CD16:ENSG00000149089 +11,34876080,Monocyte_CD16:ENSG00000149089 +11,47701858,Monocyte_CD16:ENSG00000149177 +11,47997868,Monocyte_CD16:ENSG00000149177 +11,48327930,Monocyte_CD16:ENSG00000149177 +11,48940347,Monocyte_CD16:ENSG00000149177 +11,47136126,Monocyte_CD16:ENSG00000149182 +11,48543119,Monocyte_CD16:ENSG00000149187 +11,86287174,Monocyte_CD16:ENSG00000149196 +11,86327033,Monocyte_CD16:ENSG00000149196 +11,95172947,Monocyte_CD16:ENSG00000149212 +11,95265086,Monocyte_CD16:ENSG00000149212 +11,95089453,Monocyte_CD16:ENSG00000149218 +11,96382639,Monocyte_CD16:ENSG00000149231 +11,79381442,Monocyte_CD16:ENSG00000149256 +11,79403227,Monocyte_CD16:ENSG00000149256 +11,79408195,Monocyte_CD16:ENSG00000149256 +11,77910497,Monocyte_CD16:ENSG00000149262 +11,77498921,Monocyte_CD16:ENSG00000149269 +11,75399545,Monocyte_CD16:ENSG00000149273 +11,110095787,Monocyte_CD16:ENSG00000149289 +11,113317227,Monocyte_CD16:ENSG00000149292 +11,108242604,Monocyte_CD16:ENSG00000149308 +11,108223106,Monocyte_CD16:ENSG00000149311 +11,108225326,Monocyte_CD16:ENSG00000149311 +11,72141080,Monocyte_CD16:ENSG00000149357 +11,74079198,Monocyte_CD16:ENSG00000149380 +11,130159766,Monocyte_CD16:ENSG00000149418 +11,61814184,Monocyte_CD16:ENSG00000149485 +11,61834400,Monocyte_CD16:ENSG00000149485 +11,62614231,Monocyte_CD16:ENSG00000149499 +11,125568906,Monocyte_CD16:ENSG00000149547 +11,124954085,Monocyte_CD16:ENSG00000149548 +11,124954170,Monocyte_CD16:ENSG00000149548 +11,118257860,Monocyte_CD16:ENSG00000149573 +11,117191245,Monocyte_CD16:ENSG00000149577 +11,117191245,Monocyte_CD16:ENSG00000149591 +11,64224109,Monocyte_CD16:ENSG00000149743 +11,64104557,Monocyte_CD16:ENSG00000149761 +11,63778469,Monocyte_CD16:ENSG00000149781 +11,64317676,Monocyte_CD16:ENSG00000149782 +11,65248702,Monocyte_CD16:ENSG00000149798 +11,65121562,Monocyte_CD16:ENSG00000149806 +11,65121944,Monocyte_CD16:ENSG00000149806 +11,94978574,Monocyte_CD16:ENSG00000150316 +11,125097259,Monocyte_CD16:ENSG00000150433 +11,112179135,Monocyte_CD16:ENSG00000150782 +11,44095874,Monocyte_CD16:ENSG00000151348 +11,78072265,Monocyte_CD16:ENSG00000151366 +11,78114596,Monocyte_CD16:ENSG00000151366 +11,78138807,Monocyte_CD16:ENSG00000151366 +11,78183439,Monocyte_CD16:ENSG00000151366 +11,134253534,Monocyte_CD16:ENSG00000151500 +11,134267557,Monocyte_CD16:ENSG00000151500 +11,134267557,Monocyte_CD16:ENSG00000151503 +11,30312676,Monocyte_CD16:ENSG00000152219 +11,14626135,Monocyte_CD16:ENSG00000152270 +11,107267001,Monocyte_CD16:ENSG00000152404 +11,102451728,Monocyte_CD16:ENSG00000152558 +11,102452429,Monocyte_CD16:ENSG00000152558 +11,121053962,Monocyte_CD16:ENSG00000154114 +11,122649998,Monocyte_CD16:ENSG00000154127 +11,122717777,Monocyte_CD16:ENSG00000154127 +11,124636616,Monocyte_CD16:ENSG00000154146 +11,124740877,Monocyte_CD16:ENSG00000154146 +11,57562800,Monocyte_CD16:ENSG00000156587 +11,57695280,Monocyte_CD16:ENSG00000156599 +11,57680560,Monocyte_CD16:ENSG00000156603 +11,71787088,Monocyte_CD16:ENSG00000158483 +11,76426199,Monocyte_CD16:ENSG00000158636 +11,118238382,Monocyte_CD16:ENSG00000160588 +11,118212949,Monocyte_CD16:ENSG00000160593 +11,118234507,Monocyte_CD16:ENSG00000160593 +11,118238382,Monocyte_CD16:ENSG00000160593 +11,117215342,Monocyte_CD16:ENSG00000160613 +11,119057322,Monocyte_CD16:ENSG00000160695 +11,62317199,Monocyte_CD16:ENSG00000162174 +11,62690803,Monocyte_CD16:ENSG00000162222 +11,62814484,Monocyte_CD16:ENSG00000162231 +11,62787770,Monocyte_CD16:ENSG00000162236 +11,64391234,Monocyte_CD16:ENSG00000162302 +11,69102499,Monocyte_CD16:ENSG00000162341 +11,74397905,Monocyte_CD16:ENSG00000165434 +11,47430278,Monocyte_CD16:ENSG00000165916 +11,47242475,Monocyte_CD16:ENSG00000165923 +11,93487555,Monocyte_CD16:ENSG00000166002 +11,93497593,Monocyte_CD16:ENSG00000166002 +11,93523824,Monocyte_CD16:ENSG00000166002 +11,93720270,Monocyte_CD16:ENSG00000166012 +11,94729145,Monocyte_CD16:ENSG00000166025 +11,95821119,Monocyte_CD16:ENSG00000166037 +11,43506525,Monocyte_CD16:ENSG00000166181 +11,6606823,Monocyte_CD16:ENSG00000166340 +11,7594254,Monocyte_CD16:ENSG00000166387 +11,8169108,Monocyte_CD16:ENSG00000166405 +11,74931506,Monocyte_CD16:ENSG00000166435 +11,8683418,Monocyte_CD16:ENSG00000166436 +11,8682837,Monocyte_CD16:ENSG00000166441 +11,8683418,Monocyte_CD16:ENSG00000166441 +11,8683981,Monocyte_CD16:ENSG00000166441 +11,8868101,Monocyte_CD16:ENSG00000166452 +11,9319352,Monocyte_CD16:ENSG00000166471 +11,9525993,Monocyte_CD16:ENSG00000166478 +11,18101450,Monocyte_CD16:ENSG00000166788 +11,18410643,Monocyte_CD16:ENSG00000166796 +11,59713496,Monocyte_CD16:ENSG00000166900 +11,60376025,Monocyte_CD16:ENSG00000166927 +11,60385215,Monocyte_CD16:ENSG00000166927 +11,60430292,Monocyte_CD16:ENSG00000166927 +11,60433091,Monocyte_CD16:ENSG00000166927 +11,60548286,Monocyte_CD16:ENSG00000166927 +11,60384995,Monocyte_CD16:ENSG00000166928 +11,60397054,Monocyte_CD16:ENSG00000166928 +11,117882030,Monocyte_CD16:ENSG00000167283 +11,3900433,Monocyte_CD16:ENSG00000167323 +11,4094744,Monocyte_CD16:ENSG00000167325 +11,67599004,Monocyte_CD16:ENSG00000167792 +11,60289812,Monocyte_CD16:ENSG00000167987 +11,60631733,Monocyte_CD16:ENSG00000167987 +11,61135603,Monocyte_CD16:ENSG00000167987 +11,61955173,Monocyte_CD16:ENSG00000167995 +11,61966128,Monocyte_CD16:ENSG00000167995 +11,61999133,Monocyte_CD16:ENSG00000167996 +11,62690803,Monocyte_CD16:ENSG00000168000 +11,62706279,Monocyte_CD16:ENSG00000168000 +11,62762569,Monocyte_CD16:ENSG00000168002 +11,64778919,Monocyte_CD16:ENSG00000168005 +11,73035205,Monocyte_CD16:ENSG00000168010 +11,65039975,Monocyte_CD16:ENSG00000168061 +11,64778919,Monocyte_CD16:ENSG00000168066 +11,64278557,Monocyte_CD16:ENSG00000168071 +11,117105555,Monocyte_CD16:ENSG00000168092 +11,62787770,Monocyte_CD16:ENSG00000168569 +11,28000862,Monocyte_CD16:ENSG00000169519 +11,111619696,Monocyte_CD16:ENSG00000170145 +11,129853241,Monocyte_CD16:ENSG00000170322 +11,68262547,Monocyte_CD16:ENSG00000171067 +11,85648050,Monocyte_CD16:ENSG00000171202 +11,73290502,Monocyte_CD16:ENSG00000171631 +11,119140300,Monocyte_CD16:ENSG00000172269 +11,119140300,Monocyte_CD16:ENSG00000172273 +11,65880664,Monocyte_CD16:ENSG00000172500 +11,66002942,Monocyte_CD16:ENSG00000172500 +11,67467580,Monocyte_CD16:ENSG00000172663 +11,66002942,Monocyte_CD16:ENSG00000172757 +11,71457027,Monocyte_CD16:ENSG00000172890 +11,65717747,Monocyte_CD16:ENSG00000172922 +11,65880132,Monocyte_CD16:ENSG00000172922 +11,67289308,Monocyte_CD16:ENSG00000172932 +11,64311471,Monocyte_CD16:ENSG00000173113 +11,65506987,Monocyte_CD16:ENSG00000173442 +11,66856029,Monocyte_CD16:ENSG00000173621 +11,65423737,Monocyte_CD16:ENSG00000173825 +11,66581032,Monocyte_CD16:ENSG00000173992 +11,66568361,Monocyte_CD16:ENSG00000174080 +11,66441095,Monocyte_CD16:ENSG00000174516 +11,66335298,Monocyte_CD16:ENSG00000174744 +11,562437,Monocyte_CD16:ENSG00000174775 +11,66335298,Monocyte_CD16:ENSG00000174791 +11,66370963,Monocyte_CD16:ENSG00000174791 +11,66238852,Monocyte_CD16:ENSG00000174851 +11,308314,Monocyte_CD16:ENSG00000174885 +11,844241,Monocyte_CD16:ENSG00000174915 +11,44936625,Monocyte_CD16:ENSG00000175274 +11,44953249,Monocyte_CD16:ENSG00000175274 +11,45102159,Monocyte_CD16:ENSG00000175274 +11,45102693,Monocyte_CD16:ENSG00000175274 +11,45102839,Monocyte_CD16:ENSG00000175274 +11,65974812,Monocyte_CD16:ENSG00000175334 +11,9004991,Monocyte_CD16:ENSG00000175348 +11,8824135,Monocyte_CD16:ENSG00000175356 +11,7993327,Monocyte_CD16:ENSG00000175390 +11,67292351,Monocyte_CD16:ENSG00000175463 +11,67423978,Monocyte_CD16:ENSG00000175463 +11,67475260,Monocyte_CD16:ENSG00000175463 +11,66002942,Monocyte_CD16:ENSG00000175467 +11,67289308,Monocyte_CD16:ENSG00000175482 +11,67289308,Monocyte_CD16:ENSG00000175505 +11,74461487,Monocyte_CD16:ENSG00000175538 +11,74462167,Monocyte_CD16:ENSG00000175538 +11,67452339,Monocyte_CD16:ENSG00000175544 +11,66002942,Monocyte_CD16:ENSG00000175550 +11,73970302,Monocyte_CD16:ENSG00000175567 +11,73988091,Monocyte_CD16:ENSG00000175567 +11,65985833,Monocyte_CD16:ENSG00000175573 +11,73808161,Monocyte_CD16:ENSG00000175581 +11,73695379,Monocyte_CD16:ENSG00000175582 +11,73189476,Monocyte_CD16:ENSG00000175591 +11,65809332,Monocyte_CD16:ENSG00000175602 +11,65840087,Monocyte_CD16:ENSG00000175602 +11,66002942,Monocyte_CD16:ENSG00000175602 +11,67438507,Monocyte_CD16:ENSG00000175634 +11,33069785,Monocyte_CD16:ENSG00000176148 +11,63848082,Monocyte_CD16:ENSG00000176340 +11,63507630,Monocyte_CD16:ENSG00000176485 +11,63608018,Monocyte_CD16:ENSG00000176485 +11,65506987,Monocyte_CD16:ENSG00000176973 +11,65572664,Monocyte_CD16:ENSG00000176973 +11,688091,Monocyte_CD16:ENSG00000177042 +11,695854,Monocyte_CD16:ENSG00000177042 +11,19083785,Monocyte_CD16:ENSG00000177054 +11,3827143,Monocyte_CD16:ENSG00000177105 +11,10541543,Monocyte_CD16:ENSG00000177112 +11,727310,Monocyte_CD16:ENSG00000177156 +11,810009,Monocyte_CD16:ENSG00000177600 +11,827713,Monocyte_CD16:ENSG00000177685 +11,833728,Monocyte_CD16:ENSG00000177697 +11,840034,Monocyte_CD16:ENSG00000177700 +11,840224,Monocyte_CD16:ENSG00000177700 +11,842099,Monocyte_CD16:ENSG00000177700 +11,888150,Monocyte_CD16:ENSG00000177830 +11,225256,Monocyte_CD16:ENSG00000177951 +11,200343,Monocyte_CD16:ENSG00000177963 +11,108767061,Monocyte_CD16:ENSG00000178105 +11,108509254,Monocyte_CD16:ENSG00000178202 +11,35946354,Monocyte_CD16:ENSG00000179241 +11,35957001,Monocyte_CD16:ENSG00000179241 +11,114394563,Monocyte_CD16:ENSG00000180425 +11,93183116,Monocyte_CD16:ENSG00000180773 +11,2902596,Monocyte_CD16:ENSG00000181649 +11,4395368,Monocyte_CD16:ENSG00000181963 +11,93744455,Monocyte_CD16:ENSG00000182919 +11,60835825,Monocyte_CD16:ENSG00000183134 +11,60863219,Monocyte_CD16:ENSG00000183134 +11,22625820,Monocyte_CD16:ENSG00000183161 +11,2192028,Monocyte_CD16:ENSG00000183734 +11,2265730,Monocyte_CD16:ENSG00000183734 +11,2299654,Monocyte_CD16:ENSG00000183734 +11,2300420,Monocyte_CD16:ENSG00000183734 +11,9319352,Monocyte_CD16:ENSG00000184014 +11,120225138,Monocyte_CD16:ENSG00000184232 +11,63671500,Monocyte_CD16:ENSG00000184743 +11,403545,Monocyte_CD16:ENSG00000185187 +11,406473,Monocyte_CD16:ENSG00000185187 +11,297057,Monocyte_CD16:ENSG00000185201 +11,306862,Monocyte_CD16:ENSG00000185201 +11,308180,Monocyte_CD16:ENSG00000185201 +11,320166,Monocyte_CD16:ENSG00000185201 +11,325948,Monocyte_CD16:ENSG00000185201 +11,354749,Monocyte_CD16:ENSG00000185201 +11,355264,Monocyte_CD16:ENSG00000185201 +11,618172,Monocyte_CD16:ENSG00000185507 +11,297057,Monocyte_CD16:ENSG00000185885 +11,320836,Monocyte_CD16:ENSG00000185885 +11,325948,Monocyte_CD16:ENSG00000185885 +11,119023577,Monocyte_CD16:ENSG00000186166 +11,118716638,Monocyte_CD16:ENSG00000186174 +11,117312934,Monocyte_CD16:ENSG00000186318 +11,117325719,Monocyte_CD16:ENSG00000186318 +11,72724938,Monocyte_CD16:ENSG00000186635 +11,57567919,Monocyte_CD16:ENSG00000186907 +11,61398269,Monocyte_CD16:ENSG00000187049 +11,78072265,Monocyte_CD16:ENSG00000188997 +11,78548964,Monocyte_CD16:ENSG00000188997 +11,119023577,Monocyte_CD16:ENSG00000196655 +11,4395368,Monocyte_CD16:ENSG00000196778 +11,104910854,Monocyte_CD16:ENSG00000196954 +11,68900969,Monocyte_CD16:ENSG00000197345 +11,13650325,Monocyte_CD16:ENSG00000197601 +11,59216984,Monocyte_CD16:ENSG00000197629 +11,59229299,Monocyte_CD16:ENSG00000197629 +11,126190771,Monocyte_CD16:ENSG00000197798 +11,126243903,Monocyte_CD16:ENSG00000197798 +11,22824515,Monocyte_CD16:ENSG00000198168 +11,105034373,Monocyte_CD16:ENSG00000204397 +11,105047690,Monocyte_CD16:ENSG00000204397 +11,62567436,Monocyte_CD16:ENSG00000204922 +11,2994153,Monocyte_CD16:ENSG00000205531 +11,58621817,Monocyte_CD16:ENSG00000211450 +11,65638129,Monocyte_CD16:ENSG00000213445 +11,57680560,Monocyte_CD16:ENSG00000213593 +11,1852991,Monocyte_CD16:ENSG00000214026 +11,1956322,Monocyte_CD16:ENSG00000214026 +11,842775,Monocyte_CD16:ENSG00000214063 +11,60114088,Monocyte_CD16:ENSG00000214787 +11,61922259,Monocyte_CD16:ENSG00000221968 +11,3568434,Monocyte_CD16:ENSG00000228661 +11,1386742,Monocyte_CD16:ENSG00000229512 +11,1908971,Monocyte_CD16:ENSG00000229671 +11,61194370,Monocyte_CD16:ENSG00000229859 +11,61205040,Monocyte_CD16:ENSG00000229859 +11,64391234,Monocyte_CD16:ENSG00000231680 +11,10898154,Monocyte_CD16:ENSG00000236287 +11,64340005,Monocyte_CD16:ENSG00000236935 +11,64344456,Monocyte_CD16:ENSG00000236935 +11,65423737,Monocyte_CD16:ENSG00000245532 +11,65443921,Monocyte_CD16:ENSG00000245532 +11,65445498,Monocyte_CD16:ENSG00000245532 +11,65488861,Monocyte_CD16:ENSG00000245532 +11,95196109,Monocyte_CD16:ENSG00000245552 +11,82979521,Monocyte_CD16:ENSG00000246067 +11,83072772,Monocyte_CD16:ENSG00000246067 +11,83073274,Monocyte_CD16:ENSG00000246067 +11,115707780,Monocyte_CD16:ENSG00000246100 +11,78142850,Monocyte_CD16:ENSG00000246174 +11,70288713,Monocyte_CD16:ENSG00000246889 +11,10898154,Monocyte_CD16:ENSG00000247271 +11,119225416,Monocyte_CD16:ENSG00000248712 +11,68881666,Monocyte_CD16:ENSG00000250508 +11,94323356,Monocyte_CD16:ENSG00000250519 +11,35215865,Monocyte_CD16:ENSG00000251194 +11,7505839,Monocyte_CD16:ENSG00000251364 +11,12974354,Monocyte_CD16:ENSG00000251381 +11,12989420,Monocyte_CD16:ENSG00000251381 +11,65503659,Monocyte_CD16:ENSG00000251562 +11,65570328,Monocyte_CD16:ENSG00000251562 +11,324368,Monocyte_CD16:ENSG00000251661 +11,9430253,Monocyte_CD16:ENSG00000254397 +11,65180806,Monocyte_CD16:ENSG00000254614 +11,71457027,Monocyte_CD16:ENSG00000254682 +11,66335298,Monocyte_CD16:ENSG00000254756 +11,62567436,Monocyte_CD16:ENSG00000254772 +11,13709388,Monocyte_CD16:ENSG00000254791 +11,2902596,Monocyte_CD16:ENSG00000254827 +11,2905266,Monocyte_CD16:ENSG00000254827 +11,8966536,Monocyte_CD16:ENSG00000254860 +11,9032975,Monocyte_CD16:ENSG00000254860 +11,74455233,Monocyte_CD16:ENSG00000254928 +11,12532805,Monocyte_CD16:ENSG00000254983 +11,68037138,Monocyte_CD16:ENSG00000255031 +11,63157337,Monocyte_CD16:ENSG00000255126 +11,44066439,Monocyte_CD16:ENSG00000255165 +11,47383577,Monocyte_CD16:ENSG00000255197 +11,47762062,Monocyte_CD16:ENSG00000255197 +11,105125295,Monocyte_CD16:ENSG00000255221 +11,118120319,Monocyte_CD16:ENSG00000255274 +11,780321,Monocyte_CD16:ENSG00000255284 +11,327334,Monocyte_CD16:ENSG00000255328 +11,332795,Monocyte_CD16:ENSG00000255328 +11,118701396,Monocyte_CD16:ENSG00000255422 +11,118716638,Monocyte_CD16:ENSG00000255422 +11,118781860,Monocyte_CD16:ENSG00000255422 +11,9935777,Monocyte_CD16:ENSG00000255476 +11,61065951,Monocyte_CD16:ENSG00000256196 +11,119057322,Monocyte_CD16:ENSG00000256269 +11,119086647,Monocyte_CD16:ENSG00000256269 +11,62787770,Monocyte_CD16:ENSG00000256690 +11,61205040,Monocyte_CD16:ENSG00000256713 +11,5645434,Monocyte_CD16:ENSG00000258659 +11,73189476,Monocyte_CD16:ENSG00000260401 +11,107267001,Monocyte_CD16:ENSG00000261098 +11,77498921,Monocyte_CD16:ENSG00000268635 +11,2837224,Monocyte_CD16:ENSG00000269821 +11,2837406,Monocyte_CD16:ENSG00000269821 +11,119080932,Monocyte_CD16:ENSG00000272186 +11,118798469,Monocyte_CD16:ENSG00000278376 +11,33069785,Monocyte_CD16:ENSG00000280798 +11,65791281,Monocyte_CD16:ENSG00000285533 +4,17592226,Monocyte_CD16:ENSG00000002549 +4,11392539,Monocyte_CD16:ENSG00000002587 +4,109648222,Monocyte_CD16:ENSG00000005059 +4,6609511,Monocyte_CD16:ENSG00000013288 +4,1747113,Monocyte_CD16:ENSG00000013810 +4,41990735,Monocyte_CD16:ENSG00000014824 +4,70716659,Monocyte_CD16:ENSG00000018189 +4,39301089,Monocyte_CD16:ENSG00000035928 +4,177440467,Monocyte_CD16:ENSG00000038002 +4,177442224,Monocyte_CD16:ENSG00000038002 +4,13578908,Monocyte_CD16:ENSG00000038219 +4,36310920,Monocyte_CD16:ENSG00000047365 +4,36336509,Monocyte_CD16:ENSG00000047365 +4,17631211,Monocyte_CD16:ENSG00000047662 +4,158832770,Monocyte_CD16:ENSG00000052795 +4,155759312,Monocyte_CD16:ENSG00000061918 +4,37980806,Monocyte_CD16:ENSG00000065882 +4,38046531,Monocyte_CD16:ENSG00000065882 +4,99831495,Monocyte_CD16:ENSG00000070190 +4,99876499,Monocyte_CD16:ENSG00000070190 +4,10120050,Monocyte_CD16:ENSG00000071127 +4,112282997,Monocyte_CD16:ENSG00000073331 +4,128951630,Monocyte_CD16:ENSG00000077684 +4,40056079,Monocyte_CD16:ENSG00000078177 +4,56968890,Monocyte_CD16:ENSG00000084092 +4,56938919,Monocyte_CD16:ENSG00000084093 +4,139667237,Monocyte_CD16:ENSG00000085871 +4,2795756,Monocyte_CD16:ENSG00000087266 +4,2869018,Monocyte_CD16:ENSG00000087274 +4,2880280,Monocyte_CD16:ENSG00000087274 +4,55895765,Monocyte_CD16:ENSG00000090989 +4,25861753,Monocyte_CD16:ENSG00000091490 +4,42118492,Monocyte_CD16:ENSG00000109133 +4,48858800,Monocyte_CD16:ENSG00000109180 +4,52360603,Monocyte_CD16:ENSG00000109189 +4,52706031,Monocyte_CD16:ENSG00000109189 +4,102527746,Monocyte_CD16:ENSG00000109320 +4,102753951,Monocyte_CD16:ENSG00000109323 +4,86545318,Monocyte_CD16:ENSG00000109339 +4,139182025,Monocyte_CD16:ENSG00000109381 +4,139294028,Monocyte_CD16:ENSG00000109390 +4,140716121,Monocyte_CD16:ENSG00000109436 +4,140784955,Monocyte_CD16:ENSG00000109436 +4,140808046,Monocyte_CD16:ENSG00000109436 +4,165250797,Monocyte_CD16:ENSG00000109466 +4,108600973,Monocyte_CD16:ENSG00000109475 +4,108686289,Monocyte_CD16:ENSG00000109475 +4,108732120,Monocyte_CD16:ENSG00000109475 +4,7072406,Monocyte_CD16:ENSG00000109519 +4,189958105,Monocyte_CD16:ENSG00000109536 +4,169631481,Monocyte_CD16:ENSG00000109572 +4,10235353,Monocyte_CD16:ENSG00000109667 +4,26615455,Monocyte_CD16:ENSG00000109680 +4,26865350,Monocyte_CD16:ENSG00000109689 +4,2869018,Monocyte_CD16:ENSG00000109736 +4,2900124,Monocyte_CD16:ENSG00000109736 +4,15710310,Monocyte_CD16:ENSG00000109743 +4,15711231,Monocyte_CD16:ENSG00000109743 +4,159171153,Monocyte_CD16:ENSG00000109756 +4,38138783,Monocyte_CD16:ENSG00000109787 +4,39038810,Monocyte_CD16:ENSG00000109790 +4,39532328,Monocyte_CD16:ENSG00000109814 +4,15602495,Monocyte_CD16:ENSG00000118564 +4,88006137,Monocyte_CD16:ENSG00000118762 +4,76306332,Monocyte_CD16:ENSG00000118804 +4,77105310,Monocyte_CD16:ENSG00000118816 +4,153466656,Monocyte_CD16:ENSG00000121210 +4,121797839,Monocyte_CD16:ENSG00000123737 +4,109731578,Monocyte_CD16:ENSG00000123739 +4,2249401,Monocyte_CD16:ENSG00000123933 +4,42658592,Monocyte_CD16:ENSG00000124406 +4,74327133,Monocyte_CD16:ENSG00000124882 +4,74339002,Monocyte_CD16:ENSG00000124882 +4,8233514,Monocyte_CD16:ENSG00000125089 +4,2963617,Monocyte_CD16:ENSG00000125388 +4,1019594,Monocyte_CD16:ENSG00000127418 +4,55346237,Monocyte_CD16:ENSG00000128039 +4,55395693,Monocyte_CD16:ENSG00000128039 +4,55413561,Monocyte_CD16:ENSG00000128039 +4,55427529,Monocyte_CD16:ENSG00000128039 +4,56345366,Monocyte_CD16:ENSG00000128059 +4,168848089,Monocyte_CD16:ENSG00000129116 +4,176328605,Monocyte_CD16:ENSG00000129128 +4,182891148,Monocyte_CD16:ENSG00000129187 +4,342705,Monocyte_CD16:ENSG00000131127 +4,6931259,Monocyte_CD16:ENSG00000132405 +4,4242135,Monocyte_CD16:ENSG00000132406 +4,70688529,Monocyte_CD16:ENSG00000132467 +4,55562653,Monocyte_CD16:ENSG00000134852 +4,55584250,Monocyte_CD16:ENSG00000134852 +4,14996975,Monocyte_CD16:ENSG00000137449 +4,153701497,Monocyte_CD16:ENSG00000137462 +4,169612585,Monocyte_CD16:ENSG00000137601 +4,168234797,Monocyte_CD16:ENSG00000137628 +4,85495517,Monocyte_CD16:ENSG00000138639 +4,85607017,Monocyte_CD16:ENSG00000138639 +4,85745357,Monocyte_CD16:ENSG00000138639 +4,112616554,Monocyte_CD16:ENSG00000138658 +4,81518083,Monocyte_CD16:ENSG00000138670 +4,83510491,Monocyte_CD16:ENSG00000138678 +4,83562963,Monocyte_CD16:ENSG00000138678 +4,83600503,Monocyte_CD16:ENSG00000138678 +4,83617515,Monocyte_CD16:ENSG00000138678 +4,122580853,Monocyte_CD16:ENSG00000138688 +4,120777044,Monocyte_CD16:ENSG00000138738 +4,75901595,Monocyte_CD16:ENSG00000138744 +4,75915281,Monocyte_CD16:ENSG00000138744 +4,75920595,Monocyte_CD16:ENSG00000138744 +4,75934472,Monocyte_CD16:ENSG00000138744 +4,75956249,Monocyte_CD16:ENSG00000138744 +4,75980585,Monocyte_CD16:ENSG00000138744 +4,76125283,Monocyte_CD16:ENSG00000138750 +4,78642425,Monocyte_CD16:ENSG00000138756 +4,78858785,Monocyte_CD16:ENSG00000138756 +4,75645810,Monocyte_CD16:ENSG00000138757 +4,76950935,Monocyte_CD16:ENSG00000138758 +4,76210141,Monocyte_CD16:ENSG00000138760 +4,77121641,Monocyte_CD16:ENSG00000138764 +4,77845590,Monocyte_CD16:ENSG00000138767 +4,75718238,Monocyte_CD16:ENSG00000138768 +4,105367045,Monocyte_CD16:ENSG00000138777 +4,105473538,Monocyte_CD16:ENSG00000138777 +4,105816639,Monocyte_CD16:ENSG00000138780 +4,107991560,Monocyte_CD16:ENSG00000138796 +4,107632610,Monocyte_CD16:ENSG00000138801 +4,107693236,Monocyte_CD16:ENSG00000138801 +4,101241025,Monocyte_CD16:ENSG00000138814 +4,101310306,Monocyte_CD16:ENSG00000138814 +4,102403692,Monocyte_CD16:ENSG00000138821 +4,966925,Monocyte_CD16:ENSG00000145214 +4,4270775,Monocyte_CD16:ENSG00000145220 +4,4292524,Monocyte_CD16:ENSG00000145220 +4,67511596,Monocyte_CD16:ENSG00000145241 +4,67737984,Monocyte_CD16:ENSG00000145241 +4,47479954,Monocyte_CD16:ENSG00000145246 +4,83090986,Monocyte_CD16:ENSG00000145287 +4,83197919,Monocyte_CD16:ENSG00000145287 +4,83198198,Monocyte_CD16:ENSG00000145287 +4,83236290,Monocyte_CD16:ENSG00000145287 +4,87199666,Monocyte_CD16:ENSG00000145332 +4,89824132,Monocyte_CD16:ENSG00000145335 +4,106290397,Monocyte_CD16:ENSG00000145348 +4,113753944,Monocyte_CD16:ENSG00000145349 +4,113801773,Monocyte_CD16:ENSG00000145349 +4,102882970,Monocyte_CD16:ENSG00000145354 +4,102956314,Monocyte_CD16:ENSG00000145354 +4,112282997,Monocyte_CD16:ENSG00000145365 +4,119206905,Monocyte_CD16:ENSG00000145390 +4,163666494,Monocyte_CD16:ENSG00000145416 +4,151099625,Monocyte_CD16:ENSG00000145425 +4,156783307,Monocyte_CD16:ENSG00000145431 +4,168930219,Monocyte_CD16:ENSG00000145439 +4,186191303,Monocyte_CD16:ENSG00000145476 +4,186191486,Monocyte_CD16:ENSG00000145476 +4,186191887,Monocyte_CD16:ENSG00000145476 +4,186193325,Monocyte_CD16:ENSG00000145476 +4,186199425,Monocyte_CD16:ENSG00000145476 +4,186213040,Monocyte_CD16:ENSG00000145476 +4,138951425,Monocyte_CD16:ENSG00000151014 +4,124711426,Monocyte_CD16:ENSG00000151458 +4,128949846,Monocyte_CD16:ENSG00000151466 +4,128951630,Monocyte_CD16:ENSG00000151466 +4,128951630,Monocyte_CD16:ENSG00000151470 +4,129115024,Monocyte_CD16:ENSG00000151470 +4,17512134,Monocyte_CD16:ENSG00000151552 +4,183098706,Monocyte_CD16:ENSG00000151718 +4,184714157,Monocyte_CD16:ENSG00000151725 +4,184738316,Monocyte_CD16:ENSG00000151725 +4,184854766,Monocyte_CD16:ENSG00000151726 +4,154922858,Monocyte_CD16:ENSG00000151962 +4,140370671,Monocyte_CD16:ENSG00000153130 +4,143575127,Monocyte_CD16:ENSG00000153147 +4,169291783,Monocyte_CD16:ENSG00000154447 +4,107932139,Monocyte_CD16:ENSG00000155016 +4,70976782,Monocyte_CD16:ENSG00000156136 +4,56388169,Monocyte_CD16:ENSG00000157426 +4,1211879,Monocyte_CD16:ENSG00000159692 +4,3292211,Monocyte_CD16:ENSG00000159788 +4,3389173,Monocyte_CD16:ENSG00000159788 +4,52023436,Monocyte_CD16:ENSG00000163069 +4,94307853,Monocyte_CD16:ENSG00000163104 +4,15633791,Monocyte_CD16:ENSG00000163145 +4,82539507,Monocyte_CD16:ENSG00000163312 +4,83510491,Monocyte_CD16:ENSG00000163322 +4,57040820,Monocyte_CD16:ENSG00000163453 +4,57110400,Monocyte_CD16:ENSG00000163453 +4,57120081,Monocyte_CD16:ENSG00000163453 +4,86574412,Monocyte_CD16:ENSG00000163629 +4,88260689,Monocyte_CD16:ENSG00000163644 +4,39439449,Monocyte_CD16:ENSG00000163682 +4,39443289,Monocyte_CD16:ENSG00000163682 +4,39746986,Monocyte_CD16:ENSG00000163682 +4,39905461,Monocyte_CD16:ENSG00000163683 +4,40600633,Monocyte_CD16:ENSG00000163694 +4,40623118,Monocyte_CD16:ENSG00000163694 +4,74163897,Monocyte_CD16:ENSG00000163738 +4,75466985,Monocyte_CD16:ENSG00000163743 +4,1347765,Monocyte_CD16:ENSG00000163945 +4,3505084,Monocyte_CD16:ENSG00000163956 +4,3523929,Monocyte_CD16:ENSG00000163956 +4,6694797,Monocyte_CD16:ENSG00000163993 +4,99876499,Monocyte_CD16:ENSG00000164031 +4,99940275,Monocyte_CD16:ENSG00000164032 +4,99949995,Monocyte_CD16:ENSG00000164032 +4,103116231,Monocyte_CD16:ENSG00000164039 +4,119221151,Monocyte_CD16:ENSG00000164096 +4,119300030,Monocyte_CD16:ENSG00000164096 +4,121678292,Monocyte_CD16:ENSG00000164111 +4,121680626,Monocyte_CD16:ENSG00000164111 +4,121692765,Monocyte_CD16:ENSG00000164111 +4,121696338,Monocyte_CD16:ENSG00000164111 +4,121797839,Monocyte_CD16:ENSG00000164111 +4,155580976,Monocyte_CD16:ENSG00000164114 +4,155676856,Monocyte_CD16:ENSG00000164116 +4,155681686,Monocyte_CD16:ENSG00000164116 +4,157988293,Monocyte_CD16:ENSG00000164124 +4,158173634,Monocyte_CD16:ENSG00000164124 +4,157955816,Monocyte_CD16:ENSG00000164125 +4,157988293,Monocyte_CD16:ENSG00000164125 +4,158015619,Monocyte_CD16:ENSG00000164125 +4,141325524,Monocyte_CD16:ENSG00000164136 +4,141327694,Monocyte_CD16:ENSG00000164136 +4,151390723,Monocyte_CD16:ENSG00000164142 +4,152779978,Monocyte_CD16:ENSG00000164144 +4,145888846,Monocyte_CD16:ENSG00000164167 +4,146060172,Monocyte_CD16:ENSG00000164167 +4,146108376,Monocyte_CD16:ENSG00000164167 +4,146178029,Monocyte_CD16:ENSG00000164167 +4,146179323,Monocyte_CD16:ENSG00000164167 +4,148159356,Monocyte_CD16:ENSG00000164169 +4,184620358,Monocyte_CD16:ENSG00000164305 +4,185199871,Monocyte_CD16:ENSG00000164323 +4,183500450,Monocyte_CD16:ENSG00000168556 +4,183512995,Monocyte_CD16:ENSG00000168556 +4,183463538,Monocyte_CD16:ENSG00000168564 +4,183466427,Monocyte_CD16:ENSG00000168564 +4,183511798,Monocyte_CD16:ENSG00000168564 +4,105227601,Monocyte_CD16:ENSG00000168769 +4,2795756,Monocyte_CD16:ENSG00000168884 +4,1733509,Monocyte_CD16:ENSG00000168936 +4,662092,Monocyte_CD16:ENSG00000169026 +4,76027514,Monocyte_CD16:ENSG00000169245 +4,37836761,Monocyte_CD16:ENSG00000169299 +4,152643502,Monocyte_CD16:ENSG00000170006 +4,152649290,Monocyte_CD16:ENSG00000170006 +4,152686737,Monocyte_CD16:ENSG00000170006 +4,141004383,Monocyte_CD16:ENSG00000170153 +4,142842529,Monocyte_CD16:ENSG00000170185 +4,145472229,Monocyte_CD16:ENSG00000170365 +4,47913420,Monocyte_CD16:ENSG00000170448 +4,6674758,Monocyte_CD16:ENSG00000170846 +4,123046583,Monocyte_CD16:ENSG00000170917 +4,56659220,Monocyte_CD16:ENSG00000171476 +4,158715961,Monocyte_CD16:ENSG00000171497 +4,158680524,Monocyte_CD16:ENSG00000171503 +4,118845180,Monocyte_CD16:ENSG00000172403 +4,86970413,Monocyte_CD16:ENSG00000172493 +4,83318030,Monocyte_CD16:ENSG00000173083 +4,83263616,Monocyte_CD16:ENSG00000173085 +4,83318030,Monocyte_CD16:ENSG00000173085 +4,70951993,Monocyte_CD16:ENSG00000173542 +4,69751601,Monocyte_CD16:ENSG00000173597 +4,38876099,Monocyte_CD16:ENSG00000174123 +4,38847906,Monocyte_CD16:ENSG00000174130 +4,38857655,Monocyte_CD16:ENSG00000174130 +4,112616554,Monocyte_CD16:ENSG00000174720 +4,112111649,Monocyte_CD16:ENSG00000174749 +4,56498044,Monocyte_CD16:ENSG00000174780 +4,6644493,Monocyte_CD16:ENSG00000179010 +4,168379300,Monocyte_CD16:ENSG00000181381 +4,168424237,Monocyte_CD16:ENSG00000181381 +4,168446962,Monocyte_CD16:ENSG00000181381 +4,168505020,Monocyte_CD16:ENSG00000181381 +4,24984315,Monocyte_CD16:ENSG00000181982 +4,455634,Monocyte_CD16:ENSG00000182903 +4,7544871,Monocyte_CD16:ENSG00000184985 +4,89297143,Monocyte_CD16:ENSG00000185477 +4,89369213,Monocyte_CD16:ENSG00000185477 +4,733364,Monocyte_CD16:ENSG00000185619 +4,5945109,Monocyte_CD16:ENSG00000186222 +4,7937281,Monocyte_CD16:ENSG00000196526 +4,3041458,Monocyte_CD16:ENSG00000197386 +4,38836843,Monocyte_CD16:ENSG00000197712 +4,99067359,Monocyte_CD16:ENSG00000197894 +4,99088801,Monocyte_CD16:ENSG00000197894 +4,99099284,Monocyte_CD16:ENSG00000197894 +4,87341529,Monocyte_CD16:ENSG00000198189 +4,87360869,Monocyte_CD16:ENSG00000198189 +4,87365257,Monocyte_CD16:ENSG00000198189 +4,75941102,Monocyte_CD16:ENSG00000198301 +4,163510583,Monocyte_CD16:ENSG00000198498 +4,640998,Monocyte_CD16:ENSG00000215375 +4,52706031,Monocyte_CD16:ENSG00000226950 +4,26593652,Monocyte_CD16:ENSG00000240005 +4,26865350,Monocyte_CD16:ENSG00000240005 +4,2005997,Monocyte_CD16:ENSG00000243449 +4,1579730,Monocyte_CD16:ENSG00000244459 +4,1579837,Monocyte_CD16:ENSG00000244459 +4,189952005,Monocyte_CD16:ENSG00000245685 +4,88729069,Monocyte_CD16:ENSG00000248019 +4,67708701,Monocyte_CD16:ENSG00000248049 +4,157948016,Monocyte_CD16:ENSG00000248429 +4,157988293,Monocyte_CD16:ENSG00000248429 +4,158173634,Monocyte_CD16:ENSG00000248429 +4,141295991,Monocyte_CD16:ENSG00000248810 +4,141307138,Monocyte_CD16:ENSG00000248810 +4,141327694,Monocyte_CD16:ENSG00000248810 +4,141331464,Monocyte_CD16:ENSG00000248810 +4,141338224,Monocyte_CD16:ENSG00000248810 +4,17592226,Monocyte_CD16:ENSG00000249502 +4,1771527,Monocyte_CD16:ENSG00000249592 +4,14172601,Monocyte_CD16:ENSG00000249988 +4,169911,Monocyte_CD16:ENSG00000250312 +4,25914204,Monocyte_CD16:ENSG00000250317 +4,25914236,Monocyte_CD16:ENSG00000250317 +4,82900171,Monocyte_CD16:ENSG00000251022 +4,31996940,Monocyte_CD16:ENSG00000251129 +4,104841933,Monocyte_CD16:ENSG00000251259 +4,78642425,Monocyte_CD16:ENSG00000251442 +4,6674758,Monocyte_CD16:ENSG00000251580 +4,8363853,Monocyte_CD16:ENSG00000251615 +4,101310306,Monocyte_CD16:ENSG00000254531 +4,40203099,Monocyte_CD16:ENSG00000255458 +4,47913420,Monocyte_CD16:ENSG00000259959 +4,155676856,Monocyte_CD16:ENSG00000260244 +4,10094606,Monocyte_CD16:ENSG00000261490 +4,118211233,Monocyte_CD16:ENSG00000269893 +4,118283696,Monocyte_CD16:ENSG00000269893 +4,95521608,Monocyte_CD16:ENSG00000271474 +4,184475766,Monocyte_CD16:ENSG00000271646 +4,785606,Monocyte_CD16:ENSG00000272588 +4,77322,Monocyte_CD16:ENSG00000272602 +4,94549,Monocyte_CD16:ENSG00000272602 +4,141433055,Monocyte_CD16:ENSG00000272632 +4,99067359,Monocyte_CD16:ENSG00000272777 +4,44685146,Monocyte_CD16:ENSG00000272936 +4,15633791,Monocyte_CD16:ENSG00000273133 +4,163530489,Monocyte_CD16:ENSG00000273449 +4,167376,Monocyte_CD16:ENSG00000275426 +4,25160758,Monocyte_CD16:ENSG00000281501 +4,174493179,Monocyte_CD16:ENSG00000286039 +4,39610606,Monocyte_CD16:ENSG00000286349 +4,6992357,Monocyte_CD16:ENSG00000287104 +4,11392539,Monocyte_CD16:ENSG00000287778 +4,9132793,Monocyte_CD16:ENSG00000288075 +4,1327180,Monocyte_CD16:ENSG00000288380 +4,1347765,Monocyte_CD16:ENSG00000288380 +5,139296341,Monocyte_CD16:ENSG00000015479 +5,177605049,Monocyte_CD16:ENSG00000027847 +5,866603,Monocyte_CD16:ENSG00000028310 +5,6607012,Monocyte_CD16:ENSG00000037474 +5,83323739,Monocyte_CD16:ENSG00000038427 +5,83360746,Monocyte_CD16:ENSG00000038427 +5,83444433,Monocyte_CD16:ENSG00000038427 +5,55437455,Monocyte_CD16:ENSG00000039123 +5,169585257,Monocyte_CD16:ENSG00000040275 +5,134556332,Monocyte_CD16:ENSG00000043143 +5,170296225,Monocyte_CD16:ENSG00000043462 +5,170330529,Monocyte_CD16:ENSG00000043462 +5,170338742,Monocyte_CD16:ENSG00000043462 +5,138800232,Monocyte_CD16:ENSG00000044115 +5,139385056,Monocyte_CD16:ENSG00000044115 +5,113516723,Monocyte_CD16:ENSG00000047188 +5,176122992,Monocyte_CD16:ENSG00000048140 +5,176386030,Monocyte_CD16:ENSG00000048162 +5,74685135,Monocyte_CD16:ENSG00000049860 +5,180285767,Monocyte_CD16:ENSG00000050748 +5,178237999,Monocyte_CD16:ENSG00000050767 +5,157274357,Monocyte_CD16:ENSG00000055163 +5,157304649,Monocyte_CD16:ENSG00000055163 +5,97152503,Monocyte_CD16:ENSG00000058729 +5,128083158,Monocyte_CD16:ENSG00000064651 +5,55775284,Monocyte_CD16:ENSG00000067113 +5,61924515,Monocyte_CD16:ENSG00000068796 +5,150488763,Monocyte_CD16:ENSG00000070614 +5,172109088,Monocyte_CD16:ENSG00000072786 +5,302471,Monocyte_CD16:ENSG00000073578 +5,89418732,Monocyte_CD16:ENSG00000081189 +5,141899428,Monocyte_CD16:ENSG00000081791 +5,39237388,Monocyte_CD16:ENSG00000082074 +5,39261333,Monocyte_CD16:ENSG00000082074 +5,78422318,Monocyte_CD16:ENSG00000085365 +5,56430804,Monocyte_CD16:ENSG00000095015 +5,56895159,Monocyte_CD16:ENSG00000095015 +5,65741192,Monocyte_CD16:ENSG00000112851 +5,103532861,Monocyte_CD16:ENSG00000112874 +5,109702315,Monocyte_CD16:ENSG00000112893 +5,10680435,Monocyte_CD16:ENSG00000112977 +5,10680885,Monocyte_CD16:ENSG00000112977 +5,43457175,Monocyte_CD16:ENSG00000112992 +5,43620380,Monocyte_CD16:ENSG00000112992 +5,43824575,Monocyte_CD16:ENSG00000112992 +5,140152754,Monocyte_CD16:ENSG00000113068 +5,140285079,Monocyte_CD16:ENSG00000113068 +5,140285079,Monocyte_CD16:ENSG00000113070 +5,140650195,Monocyte_CD16:ENSG00000113141 +5,178593339,Monocyte_CD16:ENSG00000113240 +5,178687511,Monocyte_CD16:ENSG00000113240 +5,179984477,Monocyte_CD16:ENSG00000113269 +5,180077394,Monocyte_CD16:ENSG00000113269 +5,80651612,Monocyte_CD16:ENSG00000113318 +5,80660105,Monocyte_CD16:ENSG00000113318 +5,80774726,Monocyte_CD16:ENSG00000113318 +5,126761169,Monocyte_CD16:ENSG00000113368 +5,33432131,Monocyte_CD16:ENSG00000113407 +5,96875410,Monocyte_CD16:ENSG00000113441 +5,96899334,Monocyte_CD16:ENSG00000113441 +5,60248435,Monocyte_CD16:ENSG00000113448 +5,1081553,Monocyte_CD16:ENSG00000113504 +5,1104823,Monocyte_CD16:ENSG00000113504 +5,1108415,Monocyte_CD16:ENSG00000113504 +5,132595276,Monocyte_CD16:ENSG00000113522 +5,141908170,Monocyte_CD16:ENSG00000113555 +5,134126966,Monocyte_CD16:ENSG00000113558 +5,143525036,Monocyte_CD16:ENSG00000113580 +5,134914906,Monocyte_CD16:ENSG00000113621 +5,136131620,Monocyte_CD16:ENSG00000113658 +5,150000595,Monocyte_CD16:ENSG00000113716 +5,150008054,Monocyte_CD16:ENSG00000113716 +5,172833866,Monocyte_CD16:ENSG00000113719 +5,172985852,Monocyte_CD16:ENSG00000113732 +5,173158207,Monocyte_CD16:ENSG00000113734 +5,173778315,Monocyte_CD16:ENSG00000113742 +5,173878429,Monocyte_CD16:ENSG00000113742 +5,134280760,Monocyte_CD16:ENSG00000119048 +5,140152754,Monocyte_CD16:ENSG00000120306 +5,140310876,Monocyte_CD16:ENSG00000120306 +5,141679591,Monocyte_CD16:ENSG00000120318 +5,138797479,Monocyte_CD16:ENSG00000120705 +5,135999540,Monocyte_CD16:ENSG00000120708 +5,135999638,Monocyte_CD16:ENSG00000120708 +5,136012308,Monocyte_CD16:ENSG00000120708 +5,136063181,Monocyte_CD16:ENSG00000120708 +5,75333337,Monocyte_CD16:ENSG00000122008 +5,65741192,Monocyte_CD16:ENSG00000123213 +5,65565444,Monocyte_CD16:ENSG00000123219 +5,151429528,Monocyte_CD16:ENSG00000123643 +5,7870860,Monocyte_CD16:ENSG00000124275 +5,7860291,Monocyte_CD16:ENSG00000124279 +5,132486532,Monocyte_CD16:ENSG00000125347 +5,179699089,Monocyte_CD16:ENSG00000127022 +5,112508332,Monocyte_CD16:ENSG00000129595 +5,112878396,Monocyte_CD16:ENSG00000129625 +5,112921554,Monocyte_CD16:ENSG00000129625 +5,61622830,Monocyte_CD16:ENSG00000130449 +5,132737310,Monocyte_CD16:ENSG00000131437 +5,180808737,Monocyte_CD16:ENSG00000131446 +5,140650195,Monocyte_CD16:ENSG00000131495 +5,142106868,Monocyte_CD16:ENSG00000131507 +5,81195753,Monocyte_CD16:ENSG00000131732 +5,71412339,Monocyte_CD16:ENSG00000131844 +5,79257012,Monocyte_CD16:ENSG00000132837 +5,78044022,Monocyte_CD16:ENSG00000132842 +5,94608113,Monocyte_CD16:ENSG00000133302 +5,6368408,Monocyte_CD16:ENSG00000133398 +5,146109139,Monocyte_CD16:ENSG00000133706 +5,69254352,Monocyte_CD16:ENSG00000134056 +5,69197946,Monocyte_CD16:ENSG00000134057 +5,67196897,Monocyte_CD16:ENSG00000134061 +5,67205664,Monocyte_CD16:ENSG00000134061 +5,56159773,Monocyte_CD16:ENSG00000134352 +5,56159818,Monocyte_CD16:ENSG00000134352 +5,169930236,Monocyte_CD16:ENSG00000134516 +5,112848793,Monocyte_CD16:ENSG00000134982 +5,111100059,Monocyte_CD16:ENSG00000134987 +5,157283016,Monocyte_CD16:ENSG00000135077 +5,128538456,Monocyte_CD16:ENSG00000138829 +5,1822169,Monocyte_CD16:ENSG00000145494 +5,10456867,Monocyte_CD16:ENSG00000145495 +5,6644903,Monocyte_CD16:ENSG00000145545 +5,6654061,Monocyte_CD16:ENSG00000145545 +5,16927227,Monocyte_CD16:ENSG00000145555 +5,14546811,Monocyte_CD16:ENSG00000145569 +5,68302107,Monocyte_CD16:ENSG00000145675 +5,78557261,Monocyte_CD16:ENSG00000145685 +5,76403426,Monocyte_CD16:ENSG00000145703 +5,76408374,Monocyte_CD16:ENSG00000145703 +5,87064935,Monocyte_CD16:ENSG00000145715 +5,103137911,Monocyte_CD16:ENSG00000145725 +5,102782303,Monocyte_CD16:ENSG00000145730 +5,71044045,Monocyte_CD16:ENSG00000145734 +5,70379267,Monocyte_CD16:ENSG00000145736 +5,70437984,Monocyte_CD16:ENSG00000145736 +5,71044045,Monocyte_CD16:ENSG00000145736 +5,71098619,Monocyte_CD16:ENSG00000145736 +5,73514891,Monocyte_CD16:ENSG00000145741 +5,108324585,Monocyte_CD16:ENSG00000145743 +5,119341645,Monocyte_CD16:ENSG00000145779 +5,119342477,Monocyte_CD16:ENSG00000145779 +5,119358504,Monocyte_CD16:ENSG00000145779 +5,119396492,Monocyte_CD16:ENSG00000145779 +5,115544270,Monocyte_CD16:ENSG00000145780 +5,116298321,Monocyte_CD16:ENSG00000145781 +5,115840892,Monocyte_CD16:ENSG00000145782 +5,144167911,Monocyte_CD16:ENSG00000145817 +5,134833585,Monocyte_CD16:ENSG00000145833 +5,159138101,Monocyte_CD16:ENSG00000145860 +5,159208094,Monocyte_CD16:ENSG00000145860 +5,148402169,Monocyte_CD16:ENSG00000145868 +5,149357651,Monocyte_CD16:ENSG00000145882 +5,151093041,Monocyte_CD16:ENSG00000145901 +5,170378997,Monocyte_CD16:ENSG00000145936 +5,170389370,Monocyte_CD16:ENSG00000145936 +5,140754279,Monocyte_CD16:ENSG00000146007 +5,181199927,Monocyte_CD16:ENSG00000146054 +5,181205454,Monocyte_CD16:ENSG00000146054 +5,176386030,Monocyte_CD16:ENSG00000146066 +5,176533675,Monocyte_CD16:ENSG00000146083 +5,177508158,Monocyte_CD16:ENSG00000146094 +5,177508998,Monocyte_CD16:ENSG00000146094 +5,177537046,Monocyte_CD16:ENSG00000146094 +5,10255709,Monocyte_CD16:ENSG00000150753 +5,50635240,Monocyte_CD16:ENSG00000151883 +5,81972251,Monocyte_CD16:ENSG00000152348 +5,81972475,Monocyte_CD16:ENSG00000152348 +5,75706562,Monocyte_CD16:ENSG00000152359 +5,80660105,Monocyte_CD16:ENSG00000152380 +5,79257012,Monocyte_CD16:ENSG00000152409 +5,115209473,Monocyte_CD16:ENSG00000152503 +5,52804805,Monocyte_CD16:ENSG00000152684 +5,134741122,Monocyte_CD16:ENSG00000152700 +5,112911386,Monocyte_CD16:ENSG00000153037 +5,39525684,Monocyte_CD16:ENSG00000153071 +5,39558926,Monocyte_CD16:ENSG00000153071 +5,96661562,Monocyte_CD16:ENSG00000153113 +5,96668081,Monocyte_CD16:ENSG00000153113 +5,1496531,Monocyte_CD16:ENSG00000153395 +5,98821763,Monocyte_CD16:ENSG00000153922 +5,14796476,Monocyte_CD16:ENSG00000154122 +5,14868812,Monocyte_CD16:ENSG00000154122 +5,14915235,Monocyte_CD16:ENSG00000154122 +5,16633302,Monocyte_CD16:ENSG00000154153 +5,154709057,Monocyte_CD16:ENSG00000155506 +5,154757404,Monocyte_CD16:ENSG00000155506 +5,56909530,Monocyte_CD16:ENSG00000155542 +5,149751534,Monocyte_CD16:ENSG00000155846 +5,72956648,Monocyte_CD16:ENSG00000157107 +5,73160440,Monocyte_CD16:ENSG00000157107 +5,139951581,Monocyte_CD16:ENSG00000158458 +5,176880503,Monocyte_CD16:ENSG00000160883 +5,176880962,Monocyte_CD16:ENSG00000160883 +5,179858195,Monocyte_CD16:ENSG00000161010 +5,179808644,Monocyte_CD16:ENSG00000161013 +5,180493966,Monocyte_CD16:ENSG00000161055 +5,180553661,Monocyte_CD16:ENSG00000161055 +5,180590399,Monocyte_CD16:ENSG00000161055 +5,180593372,Monocyte_CD16:ENSG00000161055 +5,53109863,Monocyte_CD16:ENSG00000164172 +5,53112415,Monocyte_CD16:ENSG00000164172 +5,61052219,Monocyte_CD16:ENSG00000164182 +5,36142487,Monocyte_CD16:ENSG00000164187 +5,115228523,Monocyte_CD16:ENSG00000164219 +5,115262507,Monocyte_CD16:ENSG00000164219 +5,115271895,Monocyte_CD16:ENSG00000164219 +5,115271895,Monocyte_CD16:ENSG00000164221 +5,127034953,Monocyte_CD16:ENSG00000164241 +5,76819347,Monocyte_CD16:ENSG00000164251 +5,76830681,Monocyte_CD16:ENSG00000164251 +5,77491163,Monocyte_CD16:ENSG00000164253 +5,77579866,Monocyte_CD16:ENSG00000164253 +5,53560674,Monocyte_CD16:ENSG00000164258 +5,147866647,Monocyte_CD16:ENSG00000164265 +5,80129115,Monocyte_CD16:ENSG00000164300 +5,96777250,Monocyte_CD16:ENSG00000164307 +5,96792697,Monocyte_CD16:ENSG00000164307 +5,96807725,Monocyte_CD16:ENSG00000164307 +5,96916885,Monocyte_CD16:ENSG00000164308 +5,74754319,Monocyte_CD16:ENSG00000164346 +5,74774667,Monocyte_CD16:ENSG00000164346 +5,201949,Monocyte_CD16:ENSG00000164366 +5,132841598,Monocyte_CD16:ENSG00000164403 +5,132856326,Monocyte_CD16:ENSG00000164403 +5,132841598,Monocyte_CD16:ENSG00000164405 +5,132948559,Monocyte_CD16:ENSG00000164405 +5,154198359,Monocyte_CD16:ENSG00000164574 +5,154272402,Monocyte_CD16:ENSG00000164574 +5,150428260,Monocyte_CD16:ENSG00000164587 +5,150442343,Monocyte_CD16:ENSG00000164587 +5,150449704,Monocyte_CD16:ENSG00000164587 +5,160429522,Monocyte_CD16:ENSG00000164609 +5,160434620,Monocyte_CD16:ENSG00000164611 +5,134741122,Monocyte_CD16:ENSG00000164615 +5,141522549,Monocyte_CD16:ENSG00000164620 +5,180917766,Monocyte_CD16:ENSG00000168903 +5,179610374,Monocyte_CD16:ENSG00000169045 +5,178746726,Monocyte_CD16:ENSG00000169131 +5,177306615,Monocyte_CD16:ENSG00000169223 +5,177301399,Monocyte_CD16:ENSG00000169228 +5,177117298,Monocyte_CD16:ENSG00000169230 +5,177241499,Monocyte_CD16:ENSG00000169230 +5,177301399,Monocyte_CD16:ENSG00000169230 +5,177307854,Monocyte_CD16:ENSG00000169230 +5,148820448,Monocyte_CD16:ENSG00000169252 +5,131086909,Monocyte_CD16:ENSG00000169567 +5,118959602,Monocyte_CD16:ENSG00000169570 +5,139399917,Monocyte_CD16:ENSG00000170464 +5,50203014,Monocyte_CD16:ENSG00000170571 +5,50516831,Monocyte_CD16:ENSG00000170571 +5,50635240,Monocyte_CD16:ENSG00000170571 +5,133108436,Monocyte_CD16:ENSG00000170606 +5,1812851,Monocyte_CD16:ENSG00000171421 +5,40036596,Monocyte_CD16:ENSG00000171522 +5,40407054,Monocyte_CD16:ENSG00000171522 +5,77775879,Monocyte_CD16:ENSG00000171530 +5,77805311,Monocyte_CD16:ENSG00000171530 +5,77810249,Monocyte_CD16:ENSG00000171530 +5,77847005,Monocyte_CD16:ENSG00000171530 +5,77876548,Monocyte_CD16:ENSG00000171530 +5,74631945,Monocyte_CD16:ENSG00000171617 +5,76849581,Monocyte_CD16:ENSG00000171643 +5,76860556,Monocyte_CD16:ENSG00000171643 +5,76911950,Monocyte_CD16:ENSG00000171643 +5,43457175,Monocyte_CD16:ENSG00000172244 +5,112992900,Monocyte_CD16:ENSG00000172795 +5,95812425,Monocyte_CD16:ENSG00000173221 +5,95825636,Monocyte_CD16:ENSG00000173221 +5,98773631,Monocyte_CD16:ENSG00000174136 +5,178236551,Monocyte_CD16:ENSG00000175309 +5,178249985,Monocyte_CD16:ENSG00000175309 +5,176392620,Monocyte_CD16:ENSG00000175416 +5,95069323,Monocyte_CD16:ENSG00000175471 +5,95261578,Monocyte_CD16:ENSG00000175471 +5,58485425,Monocyte_CD16:ENSG00000175857 +5,58503828,Monocyte_CD16:ENSG00000175857 +5,147782912,Monocyte_CD16:ENSG00000176049 +5,140557175,Monocyte_CD16:ENSG00000176087 +5,179554365,Monocyte_CD16:ENSG00000176783 +5,17249311,Monocyte_CD16:ENSG00000176788 +5,80096207,Monocyte_CD16:ENSG00000177034 +5,43032391,Monocyte_CD16:ENSG00000177453 +5,151756587,Monocyte_CD16:ENSG00000177556 +5,43039691,Monocyte_CD16:ENSG00000177721 +5,42977167,Monocyte_CD16:ENSG00000177738 +5,141306354,Monocyte_CD16:ENSG00000178913 +5,141320922,Monocyte_CD16:ENSG00000178913 +5,54540573,Monocyte_CD16:ENSG00000178996 +5,475506,Monocyte_CD16:ENSG00000180104 +5,150077209,Monocyte_CD16:ENSG00000182578 +5,150084545,Monocyte_CD16:ENSG00000182578 +5,150124552,Monocyte_CD16:ENSG00000182578 +5,69320252,Monocyte_CD16:ENSG00000183323 +5,69465607,Monocyte_CD16:ENSG00000183474 +5,177593076,Monocyte_CD16:ENSG00000184840 +5,177653718,Monocyte_CD16:ENSG00000184840 +5,82275970,Monocyte_CD16:ENSG00000186468 +5,82278173,Monocyte_CD16:ENSG00000186468 +5,80660105,Monocyte_CD16:ENSG00000189127 +5,151239432,Monocyte_CD16:ENSG00000196743 +5,151253115,Monocyte_CD16:ENSG00000196743 +5,151270722,Monocyte_CD16:ENSG00000196743 +5,177525639,Monocyte_CD16:ENSG00000196923 +5,151135481,Monocyte_CD16:ENSG00000197043 +5,151154983,Monocyte_CD16:ENSG00000197043 +5,151155701,Monocyte_CD16:ENSG00000197043 +5,179907857,Monocyte_CD16:ENSG00000197226 +5,132369766,Monocyte_CD16:ENSG00000197375 +5,178237999,Monocyte_CD16:ENSG00000197451 +5,132418770,Monocyte_CD16:ENSG00000197536 +5,37285941,Monocyte_CD16:ENSG00000197603 +5,69555714,Monocyte_CD16:ENSG00000197822 +5,70437984,Monocyte_CD16:ENSG00000197822 +5,65741192,Monocyte_CD16:ENSG00000197860 +5,177464930,Monocyte_CD16:ENSG00000198055 +5,151220792,Monocyte_CD16:ENSG00000198624 +5,95544271,Monocyte_CD16:ENSG00000198677 +5,42798785,Monocyte_CD16:ENSG00000198865 +5,109352322,Monocyte_CD16:ENSG00000198961 +5,109376806,Monocyte_CD16:ENSG00000198961 +5,181264199,Monocyte_CD16:ENSG00000204628 +5,170913773,Monocyte_CD16:ENSG00000204764 +5,122765347,Monocyte_CD16:ENSG00000205302 +5,82275850,Monocyte_CD16:ENSG00000205464 +5,69473733,Monocyte_CD16:ENSG00000205571 +5,69555714,Monocyte_CD16:ENSG00000205571 +5,42150925,Monocyte_CD16:ENSG00000205765 +5,140501748,Monocyte_CD16:ENSG00000213523 +5,140552191,Monocyte_CD16:ENSG00000213523 +5,140569254,Monocyte_CD16:ENSG00000213523 +5,134016531,Monocyte_CD16:ENSG00000213585 +5,465960,Monocyte_CD16:ENSG00000225138 +5,56943335,Monocyte_CD16:ENSG00000225940 +5,80660105,Monocyte_CD16:ENSG00000228716 +5,181264199,Monocyte_CD16:ENSG00000233937 +5,179025501,Monocyte_CD16:ENSG00000234284 +5,132672539,Monocyte_CD16:ENSG00000234290 +5,56943335,Monocyte_CD16:ENSG00000234553 +5,134247020,Monocyte_CD16:ENSG00000237190 +5,131905192,Monocyte_CD16:ENSG00000239642 +5,34008101,Monocyte_CD16:ENSG00000242110 +5,180825030,Monocyte_CD16:ENSG00000245060 +5,25181585,Monocyte_CD16:ENSG00000245662 +5,128083158,Monocyte_CD16:ENSG00000245937 +5,128147908,Monocyte_CD16:ENSG00000245937 +5,177445493,Monocyte_CD16:ENSG00000246334 +5,81301555,Monocyte_CD16:ENSG00000247572 +5,88350018,Monocyte_CD16:ENSG00000247828 +5,181264199,Monocyte_CD16:ENSG00000248275 +5,98930103,Monocyte_CD16:ENSG00000248489 +5,157374284,Monocyte_CD16:ENSG00000248544 +5,56430804,Monocyte_CD16:ENSG00000248727 +5,56458288,Monocyte_CD16:ENSG00000248727 +5,96777338,Monocyte_CD16:ENSG00000248734 +5,23738790,Monocyte_CD16:ENSG00000248874 +5,68434379,Monocyte_CD16:ENSG00000248884 +5,96890610,Monocyte_CD16:ENSG00000249180 +5,115602270,Monocyte_CD16:ENSG00000249249 +5,71329147,Monocyte_CD16:ENSG00000249437 +5,71366336,Monocyte_CD16:ENSG00000249437 +5,71375655,Monocyte_CD16:ENSG00000249437 +5,109332128,Monocyte_CD16:ENSG00000249476 +5,255456,Monocyte_CD16:ENSG00000249915 +5,36702188,Monocyte_CD16:ENSG00000250155 +5,36702762,Monocyte_CD16:ENSG00000250155 +5,170308916,Monocyte_CD16:ENSG00000250274 +5,97183223,Monocyte_CD16:ENSG00000250331 +5,71470644,Monocyte_CD16:ENSG00000250387 +5,43019962,Monocyte_CD16:ENSG00000251131 +5,25218768,Monocyte_CD16:ENSG00000251273 +5,97183223,Monocyte_CD16:ENSG00000251513 +5,65563200,Monocyte_CD16:ENSG00000253251 +5,138661615,Monocyte_CD16:ENSG00000253404 +5,160491328,Monocyte_CD16:ENSG00000253522 +5,168229229,Monocyte_CD16:ENSG00000253978 +5,168231235,Monocyte_CD16:ENSG00000253978 +5,150744238,Monocyte_CD16:ENSG00000256235 +5,14735328,Monocyte_CD16:ENSG00000261360 +5,15405688,Monocyte_CD16:ENSG00000261360 +5,56754638,Monocyte_CD16:ENSG00000271828 +5,14915235,Monocyte_CD16:ENSG00000272057 +5,69254352,Monocyte_CD16:ENSG00000273841 +5,180825030,Monocyte_CD16:ENSG00000278970 +5,36887793,Monocyte_CD16:ENSG00000285967 +5,37050258,Monocyte_CD16:ENSG00000286193 +5,1345359,Monocyte_CD16:ENSG00000286388 +5,97183223,Monocyte_CD16:ENSG00000286828 +5,42977167,Monocyte_CD16:ENSG00000287263 +5,54690719,Monocyte_CD16:ENSG00000287367 +5,54706859,Monocyte_CD16:ENSG00000287367 +5,54718340,Monocyte_CD16:ENSG00000287367 +21,44302928,Monocyte_CD16:ENSG00000141959 +21,44326342,Monocyte_CD16:ENSG00000141959 +21,33325011,Monocyte_CD16:ENSG00000142166 +21,31613219,Monocyte_CD16:ENSG00000142168 +21,31613444,Monocyte_CD16:ENSG00000142168 +21,31614751,Monocyte_CD16:ENSG00000142168 +21,31616819,Monocyte_CD16:ENSG00000142168 +21,31743142,Monocyte_CD16:ENSG00000142168 +21,43432539,Monocyte_CD16:ENSG00000142178 +21,44356197,Monocyte_CD16:ENSG00000142185 +21,33453568,Monocyte_CD16:ENSG00000142188 +21,26156328,Monocyte_CD16:ENSG00000142192 +21,36136536,Monocyte_CD16:ENSG00000142197 +21,36166099,Monocyte_CD16:ENSG00000142197 +21,36186982,Monocyte_CD16:ENSG00000142197 +21,32371819,Monocyte_CD16:ENSG00000142207 +21,17787983,Monocyte_CD16:ENSG00000154640 +21,17757902,Monocyte_CD16:ENSG00000154642 +21,17787983,Monocyte_CD16:ENSG00000154642 +21,25603938,Monocyte_CD16:ENSG00000154719 +21,14592054,Monocyte_CD16:ENSG00000155307 +21,14615736,Monocyte_CD16:ENSG00000155307 +21,29003824,Monocyte_CD16:ENSG00000156253 +21,29073627,Monocyte_CD16:ENSG00000156261 +21,29111830,Monocyte_CD16:ENSG00000156261 +21,29159384,Monocyte_CD16:ENSG00000156265 +21,29175362,Monocyte_CD16:ENSG00000156273 +21,31339567,Monocyte_CD16:ENSG00000156299 +21,31447643,Monocyte_CD16:ENSG00000156299 +21,38845296,Monocyte_CD16:ENSG00000157557 +21,39079686,Monocyte_CD16:ENSG00000157557 +21,41426103,Monocyte_CD16:ENSG00000157601 +21,41426246,Monocyte_CD16:ENSG00000157601 +21,42108710,Monocyte_CD16:ENSG00000157617 +21,32668857,Monocyte_CD16:ENSG00000159086 +21,32741169,Monocyte_CD16:ENSG00000159086 +21,33209301,Monocyte_CD16:ENSG00000159110 +21,33229937,Monocyte_CD16:ENSG00000159110 +21,33237291,Monocyte_CD16:ENSG00000159110 +21,33397598,Monocyte_CD16:ENSG00000159128 +21,36072399,Monocyte_CD16:ENSG00000159228 +21,36074301,Monocyte_CD16:ENSG00000159228 +21,36346446,Monocyte_CD16:ENSG00000159256 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+4,18559006,B_exhausted:ENSG00000163257 +4,163510583,B_exhausted:ENSG00000198498 +4,9504566,B_exhausted:ENSG00000261490 +4,118283696,B_exhausted:ENSG00000269893 +4,26157090,B_exhausted:ENSG00000281501 +18,24250158,B_exhausted:ENSG00000141458 +18,45808969,B_exhausted:ENSG00000152223 +18,51256494,B_exhausted:ENSG00000154832 +18,54880510,B_exhausted:ENSG00000166845 diff --git a/main.nf b/main.nf index 5b31741..5aa37db 100644 --- a/main.nf +++ b/main.nf @@ -1,6 +1,7 @@ include { INGEST_DATA } from "./modules/ingestion" include { CREATE_TILEDB } from "./modules/create_tiledb" include { EXPORT_LOCUSBREAKER } from "./modules/locusbreaker" +include { EXPORT_SNP } from "./modules/snp" include { EXPORT_REGIONS } from "./modules/regions" include { MERGE_METADATA } from "./modules/merge_metadata" @@ -31,8 +32,18 @@ workflow { // The final output will be in merged_metadata.tiledb_final } if (params.export){ - if (params.snp_list){ + if (params.snp){ + Channel.fromPath(params.snp, checkIfExists:true) + .splitText(by: params.tiledb_batch_size, keepHeader: true, file: true) + .map { batch_file -> + def batch_index = (batch_file.name =~ /\.(\d+)\.csv$/)[0][1] + tuple(batch_index, batch_file) + }.set { tiledb_metadata_batches } + tiledb_metadata_batches.view() + + EXPORT_SNP(tiledb_metadata_batches) + } if (params.regions){ diff --git a/modules/snp/main.nf b/modules/snp/main.nf new file mode 100644 index 0000000..2b96af2 --- /dev/null +++ b/modules/snp/main.nf @@ -0,0 +1,29 @@ +#!/usr/bin/env nextflow + +process EXPORT_SNP { + label "process_multi" + conda '/ssu/gassu/conda_envs/scqtl' + + publishDir "${params.outdir}/snp_table", mode: params.publish_dir_mode + + +// Define input + input: + tuple val(batch_index), path(snps_list_table) + +// Define output + output: + path("*_batch_*.csv"), emit:snp_tdb_positions, optional: true + +// Define the shell script to execute + script: + """ + scqtl export \ + --snp ${snps_list_table} \ + --attr ${params.attrs} \ + --tiledb-path ${params.tiledb_path} \ + --out ${params.out} \ + --type-sumstat ${params.type_sumstat} \ + --batch-name ${batch_index} + """ +} diff --git a/nextflow.config b/nextflow.config index 835f77c..a586127 100644 --- a/nextflow.config +++ b/nextflow.config @@ -16,9 +16,9 @@ params { // -- TileDB export export = null - attr = "P,SNPID,EAF,BETA,SE" + attrs = "P,SNPID,EAF,BETA,SE" tiledb_path = null - snp_list = null + snp = null regions = null sumstat = null @@ -122,8 +122,36 @@ profiles { wave.freeze = true wave.strategy = 'conda,container' } + + // Combine SLURM with conda + slurm_conda { + process { + executor = 'slurm' + queue = 'cpuq' + + cpus = 1 + memory = '6 GB' + time = '1h' + memory = '16 GB' + + withLabel: 'process_multi' { + cpus = 6 + memory = '16 GB' + time = '2h' + } + } + + conda.enabled = true + conda.channels = ['conda-forge', 'bioconda'] + + executor { + name = 'slurm' + queueSize = 50 + } + } test { includeConfig 'conf/test.config' } test_export_lb { includeConfig 'conf/test.config' } + test_export_snp { includeConfig 'conf/test.config' } } // Set filename and location for timeline, report, trace and dag diff --git a/out.csv b/out.csv new file mode 100644 index 0000000..3287644 --- /dev/null +++ b/out.csv @@ -0,0 +1 @@ +CHR,POS,SNPID,BETA,SE,TRAIT diff --git a/scqtl/cli/export.py b/scqtl/cli/export.py index d549049..193c370 100755 --- a/scqtl/cli/export.py +++ b/scqtl/cli/export.py @@ -7,6 +7,7 @@ import json import polars as pl import random +import numpy as np help_doc = """ Query TileDB database and export data. @@ -19,7 +20,8 @@ cloup.option("--table-regions", default = None, type=str, help = "Regions to interrogate from a table"), cloup.option("--trait", default = None, type=str, help = "Trait to filter the for an entire summary statistics"), cloup.option("--attr", default = "P,SNPID,EAF,BETA,SE", type=str, help = "Attributes to output"), - cloup.option("--snp", default = None, type=str, help = "List of SNPs to interrogate taken from a txt file. Please check README for details on the format of this file") + cloup.option("--snp", default = None, type=str, help = "List of SNPs to interrogate taken from a txt file. Please check README for details on the format of this file"), + cloup.option("--batch-name", default = None, type=str, help = "Name of the batch") ) @cloup.option_group( "Options for Locusbreaker", @@ -29,8 +31,7 @@ cloup.option("--locus-max-size-lb", default = 3000000, type=float, help = "The maximum size allowed for the locus. Default: 1Mb"), cloup.option("--cis-trans-lb",default = "cis",type=str, help = "If locusbreaker run on cis or trans QLTs"), cloup.option("--table-lb", default = None, type=str, help = "Path of the table to provide"), - cloup.option("--type-sumstat", default = None, type=str, help = "Type of summary data"), - cloup.option("--batch-name-lb", default = None, type=str, help = "Name of the batch"), + cloup.option("--type-sumstat", default = None, type=str, help = "Type of summary data") ) @cloup.option_group( "Options for output", @@ -53,11 +54,11 @@ def export( hole_lb: int, out: str, locus_max_size_lb: int, - batch_name_lb:str + batch_name:str ): #Open connection with TileDB tiledb_export = tiledb.open(tiledb_path, mode="r") - metadata = json.loads(tiledb_export.meta["merged_metadata"]) + metadata = json.loads(tiledb_export.meta["metadata"]) rows = [] if type_sumstat == "qtl": for cell in metadata["CELL"]: @@ -117,7 +118,9 @@ def export( tiledb_query["TRAIT"] = tiledb_query["CELL"] + ":" + tiledb_query["GENE"] tiledb_query = tiledb_query.drop(['CELL', 'GENE'], axis = 1) merged_df = tiledb_query.merge(snp_list.drop(['CELL','GENE'], axis = 1), on = ["CHR","TRAIT", "POS"]) - merged_df.to_csv(out + ".csv", mode="a", index=False, header = False) + if not batch_name: + batch_name = random.randint(1, 10000000) + merged_df.to_csv(f"{out}_batch_{batch_name}.csv", mode="a", index=False, header = False) elif table_regions: pd_region = pd.read_csv(table_regions) counter_nonempty_region = 0 @@ -174,13 +177,13 @@ def locus_breaker(tiledb_data, maf, pvalue_sig, pvalue_limit, locus_max_size, ho if result and isinstance(result[0], pd.DataFrame) and not result[0].shape[0] == 0: interval = result[0] segments = result[1] - if not batch_name_lb: - batch_name_lb = random.randint(1, 10000000) + if not batch_name: + batch_name = random.randint(1, 10000000) - write_header_interval = not os.path.exists(f"{out}_batch_{batch_name_lb}_interval.csv") - write_header_segment = not os.path.exists(f"{out}_batch_{batch_name_lb}_segment.csv") - interval.to_csv(f"{out}_batch_{batch_name_lb}_interval.csv", mode="a", index=False, header = write_header_interval) - segments.to_csv(f"{out}_batch_{batch_name_lb}_segment.csv", mode="a", index=False, header = write_header_segment) + write_header_interval = not os.path.exists(f"{out}_batch_{batch_name}_interval.csv") + write_header_segment = not os.path.exists(f"{out}_batch_{batch_name}_segment.csv") + interval.to_csv(f"{out}_batch_{batch_name}_interval.csv", mode="a", index=False, header = write_header_interval) + segments.to_csv(f"{out}_batch_{batch_name}_segment.csv", mode="a", index=False, header = write_header_segment) else: with tiledb.open(tiledb_path, mode="r") as A: if type_sumstat == "gwas": diff --git a/snps_ale_celltypes.csv b/snps_ale_celltypes.csv new file mode 100644 index 0000000..a0a19bc --- /dev/null +++ b/snps_ale_celltypes.csv @@ -0,0 +1,1797 @@ +CHR,POS.BETA,SE,TRAITID 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6a94f4a37bddef31c36f7d4ebd912dc472c77abe Mon Sep 17 00:00:00 2001 From: bruno-ariano Date: Tue, 11 Nov 2025 20:24:52 +0100 Subject: [PATCH 30/61] add option slurm on config --- .nextflow.log | 110 - .nextflow.log.1 | 91 - .nextflow.log.2 | 99 - .nextflow.log.3 | 77 - .nextflow.log.4 | 78 - .nextflow.log.5 | 128 -- .nextflow.log.6 | 89 - .nextflow.log.7 | 75 - .../db/000003.log | Bin 2108 -> 0 bytes .../db/CURRENT | 1 - .../db/LOCK | 0 .../db/MANIFEST-000002 | Bin 50 -> 0 bytes .../index.focused_lumiere | Bin 34 -> 0 bytes .../db/000003.log | Bin 2108 -> 0 bytes .../db/CURRENT | 1 - .../db/LOCK | 0 .../db/MANIFEST-000002 | Bin 50 -> 0 bytes .../index.zen_laplace | Bin 34 -> 0 bytes .../db/000005.sst | Bin 13088 -> 0 bytes .../db/000006.log | Bin 14289 -> 0 bytes .../db/CURRENT | 1 - .../db/LOCK | 0 .../db/MANIFEST-000004 | Bin 105 -> 0 bytes .../index.goofy_torricelli | Bin 187 -> 0 bytes .../index.intergalactic_almeida | Bin 187 -> 0 bytes .../db/000003.log | Bin 1048576 -> 0 bytes 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-1,110 +0,0 @@ -Nov-11 19:48:44.911 [main] DEBUG nextflow.cli.Launcher - $> nextflow run main.nf -profile test_export_snp,slurm_conda -Nov-11 19:48:45.031 [main] DEBUG nextflow.cli.CmdRun - N E X T F L O W ~ version 25.04.3 -Nov-11 19:48:45.052 [main] DEBUG nextflow.plugin.PluginsFacade - Setting up plugin manager > mode=prod; embedded=false; plugins-dir=/home/bruno.ariano/.nextflow/plugins; core-plugins: nf-amazon@2.15.0,nf-azure@1.16.0,nf-cloudcache@0.4.3,nf-codecommit@0.2.3,nf-console@1.2.1,nf-google@1.21.0,nf-k8s@1.0.0,nf-tower@1.11.3,nf-wave@1.12.1 -Nov-11 19:48:45.079 [main] INFO o.pf4j.DefaultPluginStatusProvider - Enabled plugins: [] -Nov-11 19:48:45.081 [main] INFO o.pf4j.DefaultPluginStatusProvider - Disabled plugins: [] -Nov-11 19:48:45.084 [main] INFO org.pf4j.DefaultPluginManager - PF4J version 3.12.0 in 'deployment' mode -Nov-11 19:48:45.096 [main] INFO org.pf4j.AbstractPluginManager - No plugins -Nov-11 19:48:45.120 [main] DEBUG nextflow.config.ConfigBuilder - Found config local: /group/soranzo/bruno.ariano/TileDB-sumstat/nextflow.config -Nov-11 19:48:45.123 [main] DEBUG nextflow.config.ConfigBuilder - Parsing config file: /group/soranzo/bruno.ariano/TileDB-sumstat/nextflow.config -Nov-11 19:48:45.176 [main] DEBUG n.secret.LocalSecretsProvider - Secrets store: /home/bruno.ariano/.nextflow/secrets/store.json -Nov-11 19:48:45.180 [main] DEBUG nextflow.secret.SecretsLoader - Discovered secrets providers: [nextflow.secret.LocalSecretsProvider@13e698c7] - activable => nextflow.secret.LocalSecretsProvider@13e698c7 -Nov-11 19:48:45.187 [main] DEBUG nextflow.config.ConfigBuilder - Applying config profile: `test_export_snp,slurm_conda` -Nov-11 19:48:46.014 [main] DEBUG nextflow.config.ConfigBuilder - Available config profiles: [test, apptainer, wave, docker, slurm, shifter, mamba, test_export_snp, charliecloud, conda, slurm_conda, test_export_lb, singularity, podman] -Nov-11 19:48:46.046 [main] DEBUG nextflow.cli.CmdRun - Applied DSL=2 by global default -Nov-11 19:48:46.063 [main] DEBUG nextflow.cli.CmdRun - Launching `main.nf` [amazing_almeida] DSL2 - revision: c230c78a2a -Nov-11 19:48:46.064 [main] DEBUG nextflow.plugin.PluginsFacade - Plugins default=[] -Nov-11 19:48:46.065 [main] DEBUG nextflow.plugin.PluginsFacade - Plugins resolved requirement=[] -Nov-11 19:48:46.117 [main] DEBUG nextflow.Session - Session UUID: afe12e5c-4035-4ddd-a6c8-6e2cb8c68e2c -Nov-11 19:48:46.117 [main] DEBUG nextflow.Session - Run name: amazing_almeida -Nov-11 19:48:46.118 [main] DEBUG nextflow.Session - Executor pool size: 8 -Nov-11 19:48:46.126 [main] DEBUG nextflow.file.FilePorter - File porter settings maxRetries=3; maxTransfers=50; pollTimeout=null -Nov-11 19:48:46.132 [main] DEBUG nextflow.util.ThreadPoolBuilder - Creating thread pool 'FileTransfer' minSize=10; maxSize=24; workQueue=LinkedBlockingQueue[-1]; allowCoreThreadTimeout=false -Nov-11 19:48:46.159 [main] DEBUG nextflow.cli.CmdRun - - Version: 25.04.3 build 5949 - Created: 02-06-2025 20:56 UTC (22:56 CEST) - System: Linux 4.18.0-477.13.1.el8_8.x86_64 - Runtime: Groovy 4.0.26 on OpenJDK 64-Bit Server VM 17.0.8.1+1 - Encoding: UTF-8 (UTF-8) - Process: 764207@cnode03 [192.168.104.103] - CPUs: 8 - Mem: 60 GB (36.1 GB) - Swap: 0 (0) -Nov-11 19:48:46.270 [main] DEBUG nextflow.Session - Work-dir: /group/soranzo/bruno.ariano/TileDB-sumstat/work [nfs] -Nov-11 19:48:46.276 [main] DEBUG nextflow.Session - Script base path does not exist or is not a directory: /group/soranzo/bruno.ariano/TileDB-sumstat/bin -Nov-11 19:48:46.298 [main] DEBUG nextflow.executor.ExecutorFactory - Extension executors providers=[] -Nov-11 19:48:46.310 [main] DEBUG nextflow.Session - Observer factory: DefaultObserverFactory -Nov-11 19:48:46.340 [main] DEBUG nextflow.Session - Observer factory (v2): LinObserverFactory -Nov-11 19:48:46.372 [main] DEBUG nextflow.cache.CacheFactory - Using Nextflow cache factory: nextflow.cache.DefaultCacheFactory -Nov-11 19:48:46.382 [main] DEBUG nextflow.util.CustomThreadPool - Creating default thread pool > poolSize: 9; maxThreads: 1000 -Nov-11 19:48:46.476 [main] DEBUG nextflow.Session - Session start -Nov-11 19:48:46.480 [main] DEBUG nextflow.trace.TraceFileObserver - Workflow started -- trace file: /group/soranzo/bruno.ariano/TileDB-sumstat/results/pipeline_info/execution_trace_2025-11-11_19-48-45.txt -Nov-11 19:48:46.738 [main] DEBUG nextflow.script.ScriptRunner - > Launching execution -Nov-11 19:48:47.258 [main] DEBUG nextflow.script.ProcessConfig - Config settings `withLabel:process_multi` matches labels `process_multi` for process with name EXPORT_SNP -Nov-11 19:48:47.270 [main] DEBUG nextflow.executor.ExecutorFactory - << taskConfig executor: slurm -Nov-11 19:48:47.270 [main] DEBUG nextflow.executor.ExecutorFactory - >> processorType: 'slurm' -Nov-11 19:48:47.281 [main] DEBUG nextflow.executor.Executor - [warm up] executor > slurm -Nov-11 19:48:47.288 [main] DEBUG n.processor.TaskPollingMonitor - Creating task monitor for executor 'slurm' > capacity: 50; pollInterval: 5s; dumpInterval: 5m -Nov-11 19:48:47.290 [main] DEBUG n.processor.TaskPollingMonitor - >>> barrier register (monitor: slurm) -Nov-11 19:48:47.294 [main] DEBUG n.executor.AbstractGridExecutor - Creating executor 'slurm' > queue-stat-interval: 1m -Nov-11 19:48:47.316 [main] DEBUG nextflow.processor.TaskProcessor - Creating process 'EXPORT_SNP': maxForks=0; fair=false; array=0 -Nov-11 19:48:47.351 [main] DEBUG nextflow.Session - Workflow process names [dsl2]: EXPORT_LOCUSBREAKER, MERGE_METADATA, EXPORT_REGIONS, EXPORT_SNP, CREATE_TILEDB, INGEST_DATA -Nov-11 19:48:47.355 [main] DEBUG nextflow.Session - Igniting dataflow network (2) -Nov-11 19:48:47.361 [main] DEBUG nextflow.processor.TaskProcessor - Starting process > EXPORT_SNP -Nov-11 19:48:47.362 [main] DEBUG nextflow.script.ScriptRunner - Parsed script files: - Script_f79ff21670d5e55f: /group/soranzo/bruno.ariano/TileDB-sumstat/modules/regions/main.nf - Script_7b14281b3e71c830: /group/soranzo/bruno.ariano/TileDB-sumstat/modules/merge_metadata/main.nf - Script_fa94f925e889eb3d: /group/soranzo/bruno.ariano/TileDB-sumstat/modules/create_tiledb/main.nf - Script_9642d9956a1c233a: /group/soranzo/bruno.ariano/TileDB-sumstat/modules/ingestion/main.nf - Script_407064212709c912: /group/soranzo/bruno.ariano/TileDB-sumstat/main.nf - Script_aef310e1ce2070d7: /group/soranzo/bruno.ariano/TileDB-sumstat/modules/locusbreaker/main.nf - Script_db897bc2c0454a54: /group/soranzo/bruno.ariano/TileDB-sumstat/modules/snp/main.nf -Nov-11 19:48:47.363 [main] DEBUG nextflow.script.ScriptRunner - > Awaiting termination -Nov-11 19:48:47.363 [main] DEBUG nextflow.Session - Session await -Nov-11 19:48:47.405 [Actor Thread 6] DEBUG n.splitter.AbstractTextSplitter - Splitter `Text` collector path: nextflow.splitter.TextFileCollector$CachePath(/group/soranzo/bruno.ariano/TileDB-sumstat/work/b4/6a551b9ffe1d7ff44214b7ec90c587/snps_ale.csv, null) -Nov-11 19:48:47.561 [Actor Thread 9] DEBUG nextflow.conda.CondaCache - conda found local env for environment=/ssu/gassu/conda_envs/scqtl; path=/ssu/gassu/conda_envs/scqtl -Nov-11 19:48:47.728 [Task submitter] DEBUG nextflow.executor.GridTaskHandler - [SLURM] submitted process EXPORT_SNP (3) > jobId: 25225022; workDir: /group/soranzo/bruno.ariano/TileDB-sumstat/work/75/ab754a76ea5d9a1de3cae8875c3919 -Nov-11 19:48:47.728 [Task submitter] INFO nextflow.Session - [75/ab754a] Submitted process > EXPORT_SNP (3) -Nov-11 19:48:47.798 [Task submitter] DEBUG nextflow.executor.GridTaskHandler - [SLURM] submitted process EXPORT_SNP (2) > jobId: 25225023; workDir: /group/soranzo/bruno.ariano/TileDB-sumstat/work/b4/22c1c35b5cdbdead563b7027a28af2 -Nov-11 19:48:47.798 [Task submitter] INFO nextflow.Session - [b4/22c1c3] Submitted process > EXPORT_SNP (2) -Nov-11 19:48:47.849 [Task submitter] DEBUG nextflow.executor.GridTaskHandler - [SLURM] submitted process EXPORT_SNP (4) > jobId: 25225024; workDir: /group/soranzo/bruno.ariano/TileDB-sumstat/work/fd/8a1819d171cdc472a426515b5417fe -Nov-11 19:48:47.849 [Task submitter] INFO nextflow.Session - [fd/8a1819] Submitted process > EXPORT_SNP (4) -Nov-11 19:48:47.901 [Task submitter] DEBUG nextflow.executor.GridTaskHandler - [SLURM] submitted process EXPORT_SNP (1) > jobId: 25225025; workDir: /group/soranzo/bruno.ariano/TileDB-sumstat/work/64/6e72e9f7e2a1df688d0c4926ef49e9 -Nov-11 19:48:47.901 [Task submitter] INFO nextflow.Session - [64/6e72e9] Submitted process > EXPORT_SNP (1) -Nov-11 19:53:52.319 [Task monitor] DEBUG n.processor.TaskPollingMonitor - !! executor slurm > tasks to be completed: 4 -- submitted tasks are shown below -~> TaskHandler[jobId: 25225022; id: 3; name: EXPORT_SNP (3); status: RUNNING; exit: -; error: -; workDir: /group/soranzo/bruno.ariano/TileDB-sumstat/work/75/ab754a76ea5d9a1de3cae8875c3919 started: 1762886932298; exited: -; ] -~> TaskHandler[jobId: 25225023; id: 2; name: EXPORT_SNP (2); status: RUNNING; exit: -; error: -; workDir: /group/soranzo/bruno.ariano/TileDB-sumstat/work/b4/22c1c35b5cdbdead563b7027a28af2 started: 1762886932332; exited: -; ] -~> TaskHandler[jobId: 25225024; id: 4; name: EXPORT_SNP (4); status: RUNNING; exit: -; error: -; workDir: /group/soranzo/bruno.ariano/TileDB-sumstat/work/fd/8a1819d171cdc472a426515b5417fe started: 1762886932336; exited: -; ] -~> TaskHandler[jobId: 25225025; id: 1; name: EXPORT_SNP (1); status: RUNNING; exit: -; error: -; workDir: /group/soranzo/bruno.ariano/TileDB-sumstat/work/64/6e72e9f7e2a1df688d0c4926ef49e9 started: 1762886932338; exited: -; ] -Nov-11 19:58:52.340 [Task monitor] DEBUG n.processor.TaskPollingMonitor - !! executor slurm > tasks to be completed: 4 -- submitted tasks are shown below -~> TaskHandler[jobId: 25225022; id: 3; name: EXPORT_SNP (3); status: RUNNING; exit: -; error: -; workDir: /group/soranzo/bruno.ariano/TileDB-sumstat/work/75/ab754a76ea5d9a1de3cae8875c3919 started: 1762886932298; exited: -; ] -~> TaskHandler[jobId: 25225023; id: 2; name: EXPORT_SNP (2); status: RUNNING; exit: -; error: -; workDir: /group/soranzo/bruno.ariano/TileDB-sumstat/work/b4/22c1c35b5cdbdead563b7027a28af2 started: 1762886932332; exited: -; ] -~> TaskHandler[jobId: 25225024; id: 4; name: EXPORT_SNP (4); status: RUNNING; exit: -; error: -; workDir: /group/soranzo/bruno.ariano/TileDB-sumstat/work/fd/8a1819d171cdc472a426515b5417fe started: 1762886932336; exited: -; ] -~> TaskHandler[jobId: 25225025; id: 1; name: EXPORT_SNP (1); status: RUNNING; exit: -; error: -; workDir: /group/soranzo/bruno.ariano/TileDB-sumstat/work/64/6e72e9f7e2a1df688d0c4926ef49e9 started: 1762886932338; exited: -; ] -Nov-11 20:03:52.353 [Task monitor] DEBUG n.processor.TaskPollingMonitor - !! executor slurm > tasks to be completed: 4 -- submitted tasks are shown below -~> TaskHandler[jobId: 25225022; id: 3; name: EXPORT_SNP (3); status: RUNNING; exit: -; error: -; workDir: /group/soranzo/bruno.ariano/TileDB-sumstat/work/75/ab754a76ea5d9a1de3cae8875c3919 started: 1762886932298; exited: -; ] -~> TaskHandler[jobId: 25225023; id: 2; name: EXPORT_SNP (2); status: RUNNING; exit: -; error: -; workDir: /group/soranzo/bruno.ariano/TileDB-sumstat/work/b4/22c1c35b5cdbdead563b7027a28af2 started: 1762886932332; exited: -; ] -~> TaskHandler[jobId: 25225024; id: 4; name: EXPORT_SNP (4); status: RUNNING; exit: -; error: -; workDir: /group/soranzo/bruno.ariano/TileDB-sumstat/work/fd/8a1819d171cdc472a426515b5417fe started: 1762886932336; exited: -; ] -~> TaskHandler[jobId: 25225025; id: 1; name: EXPORT_SNP (1); status: RUNNING; exit: -; error: -; workDir: /group/soranzo/bruno.ariano/TileDB-sumstat/work/64/6e72e9f7e2a1df688d0c4926ef49e9 started: 1762886932338; exited: -; ] -Nov-11 20:08:52.368 [Task monitor] DEBUG n.processor.TaskPollingMonitor - !! executor slurm > tasks to be completed: 4 -- submitted tasks are shown below -~> TaskHandler[jobId: 25225022; id: 3; name: EXPORT_SNP (3); status: RUNNING; exit: -; error: -; workDir: /group/soranzo/bruno.ariano/TileDB-sumstat/work/75/ab754a76ea5d9a1de3cae8875c3919 started: 1762886932298; exited: -; ] -~> TaskHandler[jobId: 25225023; id: 2; name: EXPORT_SNP (2); status: RUNNING; exit: -; error: -; workDir: /group/soranzo/bruno.ariano/TileDB-sumstat/work/b4/22c1c35b5cdbdead563b7027a28af2 started: 1762886932332; exited: -; ] -~> TaskHandler[jobId: 25225024; id: 4; name: EXPORT_SNP (4); status: RUNNING; exit: -; error: -; workDir: /group/soranzo/bruno.ariano/TileDB-sumstat/work/fd/8a1819d171cdc472a426515b5417fe started: 1762886932336; exited: -; ] -~> TaskHandler[jobId: 25225025; id: 1; name: EXPORT_SNP (1); status: RUNNING; exit: -; error: -; workDir: /group/soranzo/bruno.ariano/TileDB-sumstat/work/64/6e72e9f7e2a1df688d0c4926ef49e9 started: 1762886932338; exited: -; ] -Nov-11 20:10:57.390 [Task monitor] DEBUG n.processor.TaskPollingMonitor - Task completed > TaskHandler[jobId: 25225022; id: 3; name: EXPORT_SNP (3); status: COMPLETED; exit: 0; error: -; workDir: /group/soranzo/bruno.ariano/TileDB-sumstat/work/75/ab754a76ea5d9a1de3cae8875c3919 started: 1762886932298; exited: 2025-11-11T19:10:08.889743Z; ] -Nov-11 20:10:57.392 [Task monitor] DEBUG nextflow.util.ThreadPoolBuilder - Creating thread pool 'TaskFinalizer' minSize=10; maxSize=24; workQueue=LinkedBlockingQueue[-1]; allowCoreThreadTimeout=false -Nov-11 20:10:57.714 [TaskFinalizer-1] DEBUG nextflow.util.ThreadPoolBuilder - Creating thread pool 'PublishDir' minSize=10; maxSize=24; workQueue=LinkedBlockingQueue[-1]; allowCoreThreadTimeout=false -Nov-11 20:13:07.384 [Task monitor] DEBUG n.processor.TaskPollingMonitor - Task completed > TaskHandler[jobId: 25225024; id: 4; name: EXPORT_SNP (4); status: COMPLETED; exit: 0; error: -; workDir: /group/soranzo/bruno.ariano/TileDB-sumstat/work/fd/8a1819d171cdc472a426515b5417fe started: 1762886932336; exited: 2025-11-11T19:12:48.015969Z; ] -Nov-11 20:13:12.380 [Task monitor] DEBUG nextflow.file.FileHelper - FS path type (true): /group/soranzo/bruno.ariano/TileDB-sumstat/work -Nov-11 20:13:12.422 [Task monitor] DEBUG n.processor.TaskPollingMonitor - Task completed > TaskHandler[jobId: 25225025; id: 1; name: EXPORT_SNP (1); status: COMPLETED; exit: 0; error: -; workDir: /group/soranzo/bruno.ariano/TileDB-sumstat/work/64/6e72e9f7e2a1df688d0c4926ef49e9 started: 1762886932338; exited: 2025-11-11T19:12:54.453764Z; ] -Nov-11 20:13:22.386 [Task monitor] DEBUG n.processor.TaskPollingMonitor - Task completed > TaskHandler[jobId: 25225023; id: 2; name: EXPORT_SNP (2); status: COMPLETED; exit: 0; error: -; workDir: /group/soranzo/bruno.ariano/TileDB-sumstat/work/b4/22c1c35b5cdbdead563b7027a28af2 started: 1762886932332; exited: 2025-11-11T19:13:20.796284Z; ] -Nov-11 20:13:22.413 [main] DEBUG nextflow.Session - Session await > all processes finished -Nov-11 20:13:27.380 [Task monitor] DEBUG n.processor.TaskPollingMonitor - <<< barrier arrives (monitor: slurm) - terminating tasks monitor poll loop -Nov-11 20:13:27.381 [main] DEBUG nextflow.Session - Session await > all barriers passed -Nov-11 20:13:27.385 [main] DEBUG nextflow.util.ThreadPoolManager - Thread pool 'TaskFinalizer' shutdown completed (hard=false) -Nov-11 20:13:27.385 [main] DEBUG nextflow.util.ThreadPoolManager - Thread pool 'PublishDir' shutdown completed (hard=false) -Nov-11 20:13:27.486 [main] DEBUG n.trace.WorkflowStatsObserver - Workflow completed > WorkflowStats[succeededCount=4; failedCount=0; ignoredCount=0; cachedCount=0; pendingCount=0; submittedCount=0; runningCount=0; retriesCount=0; abortedCount=0; succeedDuration=9h 20m 16s; failedDuration=0ms; cachedDuration=0ms;loadCpus=0; loadMemory=0; peakRunning=4; peakCpus=24; peakMemory=64 GB; ] -Nov-11 20:13:27.486 [main] DEBUG nextflow.trace.TraceFileObserver - Workflow completed -- saving trace file -Nov-11 20:13:27.501 [main] DEBUG nextflow.trace.ReportObserver - Workflow completed -- rendering execution report -Nov-11 20:13:28.246 [main] DEBUG nextflow.trace.TimelineObserver - Workflow completed -- rendering execution timeline -Nov-11 20:13:28.698 [main] DEBUG nextflow.cache.CacheDB - Closing CacheDB done -Nov-11 20:13:28.747 [main] DEBUG nextflow.util.ThreadPoolManager - Thread pool 'FileTransfer' shutdown completed (hard=false) -Nov-11 20:13:28.748 [main] DEBUG nextflow.script.ScriptRunner - > Execution complete -- Goodbye diff --git a/.nextflow.log.1 b/.nextflow.log.1 deleted file mode 100644 index 9a67499..0000000 --- a/.nextflow.log.1 +++ /dev/null @@ -1,91 +0,0 @@ -Nov-11 19:44:15.643 [main] DEBUG nextflow.cli.Launcher - $> nextflow run main.nf -profile test_export_snp,slurm_conda -Nov-11 19:44:15.778 [main] DEBUG nextflow.cli.CmdRun - N E X T F L O W ~ version 25.04.3 -Nov-11 19:44:15.802 [main] DEBUG nextflow.plugin.PluginsFacade - Setting up plugin manager > mode=prod; embedded=false; plugins-dir=/home/bruno.ariano/.nextflow/plugins; core-plugins: nf-amazon@2.15.0,nf-azure@1.16.0,nf-cloudcache@0.4.3,nf-codecommit@0.2.3,nf-console@1.2.1,nf-google@1.21.0,nf-k8s@1.0.0,nf-tower@1.11.3,nf-wave@1.12.1 -Nov-11 19:44:15.832 [main] INFO o.pf4j.DefaultPluginStatusProvider - Enabled plugins: [] -Nov-11 19:44:15.834 [main] INFO o.pf4j.DefaultPluginStatusProvider - Disabled plugins: [] -Nov-11 19:44:15.837 [main] INFO org.pf4j.DefaultPluginManager - PF4J version 3.12.0 in 'deployment' mode -Nov-11 19:44:15.851 [main] INFO org.pf4j.AbstractPluginManager - No plugins -Nov-11 19:44:15.874 [main] DEBUG nextflow.config.ConfigBuilder - Found config local: /group/soranzo/bruno.ariano/TileDB-sumstat/nextflow.config -Nov-11 19:44:15.876 [main] DEBUG nextflow.config.ConfigBuilder - Parsing config file: /group/soranzo/bruno.ariano/TileDB-sumstat/nextflow.config -Nov-11 19:44:15.958 [main] DEBUG n.secret.LocalSecretsProvider - Secrets store: /home/bruno.ariano/.nextflow/secrets/store.json -Nov-11 19:44:15.963 [main] DEBUG nextflow.secret.SecretsLoader - Discovered secrets providers: [nextflow.secret.LocalSecretsProvider@13e698c7] - activable => nextflow.secret.LocalSecretsProvider@13e698c7 -Nov-11 19:44:15.972 [main] DEBUG nextflow.config.ConfigBuilder - Applying config profile: `test_export_snp,slurm_conda` -Nov-11 19:44:16.929 [main] DEBUG nextflow.config.ConfigBuilder - Available config profiles: [test, apptainer, wave, docker, slurm, shifter, mamba, test_export_snp, charliecloud, conda, slurm_conda, test_export_lb, singularity, podman] -Nov-11 19:44:16.960 [main] DEBUG nextflow.cli.CmdRun - Applied DSL=2 by global default -Nov-11 19:44:17.004 [main] DEBUG nextflow.cli.CmdRun - Launching `main.nf` [distracted_ekeblad] DSL2 - revision: c230c78a2a -Nov-11 19:44:17.007 [main] DEBUG nextflow.plugin.PluginsFacade - Plugins default=[] -Nov-11 19:44:17.008 [main] DEBUG nextflow.plugin.PluginsFacade - Plugins resolved requirement=[] -Nov-11 19:44:17.064 [main] DEBUG nextflow.Session - Session UUID: ed068041-b1db-4f82-afa6-47c6950cf200 -Nov-11 19:44:17.065 [main] DEBUG nextflow.Session - Run name: distracted_ekeblad -Nov-11 19:44:17.066 [main] DEBUG nextflow.Session - Executor pool size: 8 -Nov-11 19:44:17.074 [main] DEBUG nextflow.file.FilePorter - File porter settings maxRetries=3; maxTransfers=50; pollTimeout=null -Nov-11 19:44:17.080 [main] DEBUG nextflow.util.ThreadPoolBuilder - Creating thread pool 'FileTransfer' minSize=10; maxSize=24; workQueue=LinkedBlockingQueue[-1]; allowCoreThreadTimeout=false -Nov-11 19:44:17.109 [main] DEBUG nextflow.cli.CmdRun - - Version: 25.04.3 build 5949 - Created: 02-06-2025 20:56 UTC (22:56 CEST) - System: Linux 4.18.0-477.13.1.el8_8.x86_64 - Runtime: Groovy 4.0.26 on OpenJDK 64-Bit Server VM 17.0.8.1+1 - Encoding: UTF-8 (UTF-8) - Process: 759626@cnode03 [192.168.104.103] - CPUs: 8 - Mem: 60 GB (41.8 GB) - Swap: 0 (0) -Nov-11 19:44:17.152 [main] DEBUG nextflow.Session - Work-dir: /group/soranzo/bruno.ariano/TileDB-sumstat/work [nfs] -Nov-11 19:44:17.153 [main] DEBUG nextflow.Session - Script base path does not exist or is not a directory: /group/soranzo/bruno.ariano/TileDB-sumstat/bin -Nov-11 19:44:17.163 [main] DEBUG nextflow.executor.ExecutorFactory - Extension executors providers=[] -Nov-11 19:44:17.173 [main] DEBUG nextflow.Session - Observer factory: DefaultObserverFactory -Nov-11 19:44:17.201 [main] DEBUG nextflow.Session - Observer factory (v2): LinObserverFactory -Nov-11 19:44:17.245 [main] DEBUG nextflow.cache.CacheFactory - Using Nextflow cache factory: nextflow.cache.DefaultCacheFactory -Nov-11 19:44:17.260 [main] DEBUG nextflow.util.CustomThreadPool - Creating default thread pool > poolSize: 9; maxThreads: 1000 -Nov-11 19:44:17.356 [main] DEBUG nextflow.Session - Session start -Nov-11 19:44:17.360 [main] DEBUG nextflow.trace.TraceFileObserver - Workflow started -- trace file: /group/soranzo/bruno.ariano/TileDB-sumstat/results/pipeline_info/execution_trace_2025-11-11_19-44-16.txt -Nov-11 19:44:17.601 [main] DEBUG nextflow.script.ScriptRunner - > Launching execution -Nov-11 19:44:18.141 [main] DEBUG nextflow.script.ProcessConfig - Config settings `withLabel:process_multi` matches labels `process_multi` for process with name EXPORT_SNP -Nov-11 19:44:18.151 [main] DEBUG nextflow.executor.ExecutorFactory - << taskConfig executor: slurm -Nov-11 19:44:18.151 [main] DEBUG nextflow.executor.ExecutorFactory - >> processorType: 'slurm' -Nov-11 19:44:18.161 [main] DEBUG nextflow.executor.Executor - [warm up] executor > slurm -Nov-11 19:44:18.167 [main] DEBUG n.processor.TaskPollingMonitor - Creating task monitor for executor 'slurm' > capacity: 50; pollInterval: 5s; dumpInterval: 5m -Nov-11 19:44:18.169 [main] DEBUG n.processor.TaskPollingMonitor - >>> barrier register (monitor: slurm) -Nov-11 19:44:18.171 [main] DEBUG n.executor.AbstractGridExecutor - Creating executor 'slurm' > queue-stat-interval: 1m -Nov-11 19:44:18.192 [main] DEBUG nextflow.processor.TaskProcessor - Creating process 'EXPORT_SNP': maxForks=0; fair=false; array=0 -Nov-11 19:44:18.224 [main] DEBUG nextflow.Session - Workflow process names [dsl2]: EXPORT_LOCUSBREAKER, MERGE_METADATA, EXPORT_REGIONS, INGEST_DATA, CREATE_TILEDB, EXPORT_SNP -Nov-11 19:44:18.226 [main] DEBUG nextflow.Session - Igniting dataflow network (2) -Nov-11 19:44:18.232 [main] DEBUG nextflow.processor.TaskProcessor - Starting process > EXPORT_SNP -Nov-11 19:44:18.233 [main] DEBUG nextflow.script.ScriptRunner - Parsed script files: - Script_f79ff21670d5e55f: /group/soranzo/bruno.ariano/TileDB-sumstat/modules/regions/main.nf - Script_7b14281b3e71c830: /group/soranzo/bruno.ariano/TileDB-sumstat/modules/merge_metadata/main.nf - Script_fa94f925e889eb3d: /group/soranzo/bruno.ariano/TileDB-sumstat/modules/create_tiledb/main.nf - Script_407064212709c912: /group/soranzo/bruno.ariano/TileDB-sumstat/main.nf - Script_9642d9956a1c233a: /group/soranzo/bruno.ariano/TileDB-sumstat/modules/ingestion/main.nf - Script_aef310e1ce2070d7: /group/soranzo/bruno.ariano/TileDB-sumstat/modules/locusbreaker/main.nf - Script_db897bc2c0454a54: /group/soranzo/bruno.ariano/TileDB-sumstat/modules/snp/main.nf -Nov-11 19:44:18.233 [main] DEBUG nextflow.script.ScriptRunner - > Awaiting termination -Nov-11 19:44:18.233 [main] DEBUG nextflow.Session - Session await -Nov-11 19:44:18.328 [Actor Thread 6] DEBUG n.splitter.AbstractTextSplitter - Splitter `Text` collector path: nextflow.splitter.TextFileCollector$CachePath(/group/soranzo/bruno.ariano/TileDB-sumstat/work/3a/7c2ef3ad24ccb862886aa11161eed5/snps_ale.csv, null) -Nov-11 19:44:18.459 [Actor Thread 3] DEBUG nextflow.conda.CondaCache - conda found local env for environment=/ssu/gassu/conda_envs/scqtl; path=/ssu/gassu/conda_envs/scqtl -Nov-11 19:44:18.620 [Task submitter] DEBUG nextflow.executor.GridTaskHandler - [SLURM] submitted process EXPORT_SNP (3) > jobId: 25224931; workDir: /group/soranzo/bruno.ariano/TileDB-sumstat/work/b1/b4077221681ca1b9511b7ff2613f4b -Nov-11 19:44:18.621 [Task submitter] INFO nextflow.Session - [b1/b40772] Submitted process > EXPORT_SNP (3) -Nov-11 19:44:18.679 [Task submitter] DEBUG nextflow.executor.GridTaskHandler - [SLURM] submitted process EXPORT_SNP (1) > jobId: 25224932; workDir: /group/soranzo/bruno.ariano/TileDB-sumstat/work/f3/51f250083692052c5dd03f44f0d5c2 -Nov-11 19:44:18.679 [Task submitter] INFO nextflow.Session - [f3/51f250] Submitted process > EXPORT_SNP (1) -Nov-11 19:44:18.729 [Task submitter] DEBUG nextflow.executor.GridTaskHandler - [SLURM] submitted process EXPORT_SNP (4) > jobId: 25224933; workDir: /group/soranzo/bruno.ariano/TileDB-sumstat/work/76/a16471204326a67e2b94d293bab950 -Nov-11 19:44:18.729 [Task submitter] INFO nextflow.Session - [76/a16471] Submitted process > EXPORT_SNP (4) -Nov-11 19:44:18.777 [Task submitter] DEBUG nextflow.executor.GridTaskHandler - [SLURM] submitted process EXPORT_SNP (2) > jobId: 25224934; workDir: /group/soranzo/bruno.ariano/TileDB-sumstat/work/96/8ff698bffc0983e15603bd3ac8ea59 -Nov-11 19:44:18.777 [Task submitter] INFO nextflow.Session - [96/8ff698] Submitted process > EXPORT_SNP (2) -Nov-11 19:47:33.186 [Task monitor] DEBUG nextflow.file.FileHelper - FS path type (true): /group/soranzo/bruno.ariano/TileDB-sumstat/work -Nov-11 19:47:33.219 [Task monitor] DEBUG n.processor.TaskPollingMonitor - Task completed > TaskHandler[jobId: 25224932; id: 1; name: EXPORT_SNP (1); status: COMPLETED; exit: 137; error: -; workDir: /group/soranzo/bruno.ariano/TileDB-sumstat/work/f3/51f250083692052c5dd03f44f0d5c2 started: 1762886663214; exited: 2025-11-11T18:47:12.760122Z; ] -Nov-11 19:47:33.219 [Task monitor] DEBUG nextflow.util.ThreadPoolBuilder - Creating thread pool 'TaskFinalizer' minSize=10; maxSize=24; workQueue=LinkedBlockingQueue[-1]; allowCoreThreadTimeout=false -Nov-11 19:47:33.231 [TaskFinalizer-1] DEBUG nextflow.processor.TaskProcessor - Handling unexpected condition for - task: name=EXPORT_SNP (1); work-dir=/group/soranzo/bruno.ariano/TileDB-sumstat/work/f3/51f250083692052c5dd03f44f0d5c2 - error [nextflow.exception.ProcessFailedException]: Process `EXPORT_SNP (1)` terminated with an error exit status (137) -Nov-11 19:47:33.244 [TaskFinalizer-1] INFO nextflow.processor.TaskProcessor - [f3/51f250] NOTE: Process `EXPORT_SNP (1)` terminated with an error exit status (137) -- Execution is retried (1) -Nov-11 19:47:33.393 [Task submitter] DEBUG nextflow.executor.GridTaskHandler - [SLURM] submitted process EXPORT_SNP (1) > jobId: 25225014; workDir: /group/soranzo/bruno.ariano/TileDB-sumstat/work/b6/b11d96b656d239c24e813d0f2a5eb5 -Nov-11 19:47:33.394 [Task submitter] INFO nextflow.Session - [b6/b11d96] Re-submitted process > EXPORT_SNP (1) -Nov-11 19:48:03.439 [SIGINT handler] DEBUG nextflow.Session - Session aborted -- Cause: SIGINT -Nov-11 19:48:03.456 [Task monitor] DEBUG n.processor.TaskPollingMonitor - <<< barrier arrives (monitor: slurm) - terminating tasks monitor poll loop -Nov-11 19:48:03.456 [main] DEBUG nextflow.Session - Session await > all processes finished -Nov-11 19:48:03.456 [main] DEBUG nextflow.Session - Session await > all barriers passed -Nov-11 19:48:03.460 [main] WARN n.processor.TaskPollingMonitor - Killing running tasks (4) -Nov-11 19:48:03.515 [main] DEBUG n.trace.WorkflowStatsObserver - Workflow completed > WorkflowStats[succeededCount=0; failedCount=1; ignoredCount=0; cachedCount=0; pendingCount=0; submittedCount=0; runningCount=0; retriesCount=1; abortedCount=4; succeedDuration=0ms; failedDuration=12m 40s; cachedDuration=0ms;loadCpus=0; loadMemory=0; peakRunning=4; peakCpus=16; peakMemory=32 GB; ] -Nov-11 19:48:03.516 [main] DEBUG nextflow.trace.TraceFileObserver - Workflow completed -- saving trace file -Nov-11 19:48:03.517 [main] DEBUG nextflow.trace.ReportObserver - Workflow completed -- rendering execution report -Nov-11 19:48:04.038 [main] DEBUG nextflow.trace.TimelineObserver - Workflow completed -- rendering execution timeline -Nov-11 19:48:04.161 [main] DEBUG nextflow.cache.CacheDB - Closing CacheDB done -Nov-11 19:48:04.193 [main] DEBUG nextflow.script.ScriptRunner - > Execution complete -- Goodbye diff --git a/.nextflow.log.2 b/.nextflow.log.2 deleted file mode 100644 index 6d01c7b..0000000 --- a/.nextflow.log.2 +++ /dev/null @@ -1,99 +0,0 @@ -Nov-11 19:41:10.943 [main] DEBUG nextflow.cli.Launcher - $> nextflow run main.nf -profile test_export_snp,slurm_conda -Nov-11 19:41:11.063 [main] DEBUG nextflow.cli.CmdRun - N E X T F L O W ~ version 25.04.3 -Nov-11 19:41:11.086 [main] DEBUG nextflow.plugin.PluginsFacade - Setting up plugin manager > mode=prod; embedded=false; plugins-dir=/home/bruno.ariano/.nextflow/plugins; core-plugins: nf-amazon@2.15.0,nf-azure@1.16.0,nf-cloudcache@0.4.3,nf-codecommit@0.2.3,nf-console@1.2.1,nf-google@1.21.0,nf-k8s@1.0.0,nf-tower@1.11.3,nf-wave@1.12.1 -Nov-11 19:41:11.112 [main] INFO o.pf4j.DefaultPluginStatusProvider - Enabled plugins: [] -Nov-11 19:41:11.113 [main] INFO o.pf4j.DefaultPluginStatusProvider - Disabled plugins: [] -Nov-11 19:41:11.116 [main] INFO org.pf4j.DefaultPluginManager - PF4J version 3.12.0 in 'deployment' mode -Nov-11 19:41:11.129 [main] INFO org.pf4j.AbstractPluginManager - No plugins -Nov-11 19:41:11.150 [main] DEBUG nextflow.config.ConfigBuilder - Found config local: /group/soranzo/bruno.ariano/TileDB-sumstat/nextflow.config -Nov-11 19:41:11.153 [main] DEBUG nextflow.config.ConfigBuilder - Parsing config file: /group/soranzo/bruno.ariano/TileDB-sumstat/nextflow.config -Nov-11 19:41:11.206 [main] DEBUG n.secret.LocalSecretsProvider - Secrets store: /home/bruno.ariano/.nextflow/secrets/store.json -Nov-11 19:41:11.209 [main] DEBUG nextflow.secret.SecretsLoader - Discovered secrets providers: [nextflow.secret.LocalSecretsProvider@13e698c7] - activable => nextflow.secret.LocalSecretsProvider@13e698c7 -Nov-11 19:41:11.216 [main] DEBUG nextflow.config.ConfigBuilder - Applying config profile: `test_export_snp,slurm_conda` -Nov-11 19:41:12.300 [main] DEBUG nextflow.config.ConfigBuilder - Available config profiles: [test, apptainer, wave, docker, slurm, shifter, mamba, test_export_snp, charliecloud, conda, slurm_conda, test_export_lb, singularity, podman] -Nov-11 19:41:12.341 [main] DEBUG nextflow.cli.CmdRun - Applied DSL=2 by global default -Nov-11 19:41:12.359 [main] DEBUG nextflow.cli.CmdRun - Launching `main.nf` [infallible_solvay] DSL2 - revision: c230c78a2a -Nov-11 19:41:12.361 [main] DEBUG nextflow.plugin.PluginsFacade - Plugins default=[] -Nov-11 19:41:12.361 [main] DEBUG nextflow.plugin.PluginsFacade - Plugins resolved requirement=[] -Nov-11 19:41:12.417 [main] DEBUG nextflow.Session - Session UUID: df48cfc6-4d7f-40a3-8a61-15ab9aff4c98 -Nov-11 19:41:12.417 [main] DEBUG nextflow.Session - Run name: infallible_solvay -Nov-11 19:41:12.418 [main] DEBUG nextflow.Session - Executor pool size: 8 -Nov-11 19:41:12.429 [main] DEBUG nextflow.file.FilePorter - File porter settings maxRetries=3; maxTransfers=50; pollTimeout=null -Nov-11 19:41:12.458 [main] DEBUG nextflow.util.ThreadPoolBuilder - Creating thread pool 'FileTransfer' minSize=10; maxSize=24; workQueue=LinkedBlockingQueue[-1]; allowCoreThreadTimeout=false -Nov-11 19:41:12.526 [main] DEBUG nextflow.cli.CmdRun - - Version: 25.04.3 build 5949 - Created: 02-06-2025 20:56 UTC (22:56 CEST) - System: Linux 4.18.0-477.13.1.el8_8.x86_64 - Runtime: Groovy 4.0.26 on OpenJDK 64-Bit Server VM 17.0.8.1+1 - Encoding: UTF-8 (UTF-8) - Process: 750624@cnode03 [192.168.104.103] - CPUs: 8 - Mem: 60 GB (48 GB) - Swap: 0 (0) -Nov-11 19:41:12.588 [main] DEBUG nextflow.Session - Work-dir: /group/soranzo/bruno.ariano/TileDB-sumstat/work [nfs] -Nov-11 19:41:12.589 [main] DEBUG nextflow.Session - Script base path does not exist or is not a directory: /group/soranzo/bruno.ariano/TileDB-sumstat/bin -Nov-11 19:41:12.600 [main] DEBUG nextflow.executor.ExecutorFactory - Extension executors providers=[] -Nov-11 19:41:12.610 [main] DEBUG nextflow.Session - Observer factory: DefaultObserverFactory -Nov-11 19:41:12.639 [main] DEBUG nextflow.Session - Observer factory (v2): LinObserverFactory -Nov-11 19:41:12.669 [main] DEBUG nextflow.cache.CacheFactory - Using Nextflow cache factory: nextflow.cache.DefaultCacheFactory -Nov-11 19:41:12.680 [main] DEBUG nextflow.util.CustomThreadPool - Creating default thread pool > poolSize: 9; maxThreads: 1000 -Nov-11 19:41:12.801 [main] DEBUG nextflow.Session - Session start -Nov-11 19:41:12.807 [main] DEBUG nextflow.trace.TraceFileObserver - Workflow started -- trace file: /group/soranzo/bruno.ariano/TileDB-sumstat/results/pipeline_info/execution_trace_2025-11-11_19-41-12.txt -Nov-11 19:41:13.126 [main] DEBUG nextflow.script.ScriptRunner - > Launching execution -Nov-11 19:41:13.739 [main] DEBUG nextflow.script.ProcessConfig - Config settings `withLabel:process_multi` matches labels `process_multi` for process with name EXPORT_SNP -Nov-11 19:41:13.751 [main] DEBUG nextflow.executor.ExecutorFactory - << taskConfig executor: slurm -Nov-11 19:41:13.751 [main] DEBUG nextflow.executor.ExecutorFactory - >> processorType: 'slurm' -Nov-11 19:41:13.761 [main] DEBUG nextflow.executor.Executor - [warm up] executor > slurm -Nov-11 19:41:13.768 [main] DEBUG n.processor.TaskPollingMonitor - Creating task monitor for executor 'slurm' > capacity: 50; pollInterval: 5s; dumpInterval: 5m -Nov-11 19:41:13.770 [main] DEBUG n.processor.TaskPollingMonitor - >>> barrier register (monitor: slurm) -Nov-11 19:41:13.785 [main] DEBUG n.executor.AbstractGridExecutor - Creating executor 'slurm' > queue-stat-interval: 1m -Nov-11 19:41:13.806 [main] DEBUG nextflow.processor.TaskProcessor - Creating process 'EXPORT_SNP': maxForks=0; fair=false; array=0 -Nov-11 19:41:13.843 [main] DEBUG nextflow.Session - Workflow process names [dsl2]: EXPORT_LOCUSBREAKER, MERGE_METADATA, EXPORT_REGIONS, INGEST_DATA, CREATE_TILEDB, EXPORT_SNP -Nov-11 19:41:13.846 [main] DEBUG nextflow.Session - Igniting dataflow network (2) -Nov-11 19:41:13.852 [main] DEBUG nextflow.processor.TaskProcessor - Starting process > EXPORT_SNP -Nov-11 19:41:13.853 [main] DEBUG nextflow.script.ScriptRunner - Parsed script files: - Script_7b14281b3e71c830: /group/soranzo/bruno.ariano/TileDB-sumstat/modules/merge_metadata/main.nf - Script_f79ff21670d5e55f: /group/soranzo/bruno.ariano/TileDB-sumstat/modules/regions/main.nf - Script_fa94f925e889eb3d: /group/soranzo/bruno.ariano/TileDB-sumstat/modules/create_tiledb/main.nf - Script_407064212709c912: /group/soranzo/bruno.ariano/TileDB-sumstat/main.nf - Script_9642d9956a1c233a: /group/soranzo/bruno.ariano/TileDB-sumstat/modules/ingestion/main.nf - Script_aef310e1ce2070d7: /group/soranzo/bruno.ariano/TileDB-sumstat/modules/locusbreaker/main.nf - Script_db897bc2c0454a54: /group/soranzo/bruno.ariano/TileDB-sumstat/modules/snp/main.nf -Nov-11 19:41:13.854 [main] DEBUG nextflow.script.ScriptRunner - > Awaiting termination -Nov-11 19:41:13.854 [main] DEBUG nextflow.Session - Session await -Nov-11 19:41:13.874 [Actor Thread 6] DEBUG n.splitter.AbstractTextSplitter - Splitter `Text` collector path: nextflow.splitter.TextFileCollector$CachePath(/group/soranzo/bruno.ariano/TileDB-sumstat/work/3e/66619793bb149b06b34b172d23841a/snps_ale.csv, null) -Nov-11 19:41:14.065 [Actor Thread 8] DEBUG nextflow.conda.CondaCache - conda found local env for environment=/ssu/gassu/conda_envs/scqtl; path=/ssu/gassu/conda_envs/scqtl -Nov-11 19:41:14.241 [Task submitter] DEBUG nextflow.processor.TaskProcessor - Handling unexpected condition for - task: name=EXPORT_SNP (2); work-dir=/group/soranzo/bruno.ariano/TileDB-sumstat/work/a4/5a9af9b58d4fc68739e6e0ce37a23f - error [nextflow.exception.ProcessFailedException]: Error submitting process 'EXPORT_SNP (2)' for execution -Nov-11 19:41:14.284 [Task submitter] DEBUG nextflow.processor.TaskRun - Unable to dump error of process 'null' -- Cause: java.nio.file.NoSuchFileException: /group/soranzo/bruno.ariano/TileDB-sumstat/work/a4/5a9af9b58d4fc68739e6e0ce37a23f/.command.log -Nov-11 19:41:14.287 [Task submitter] ERROR nextflow.processor.TaskProcessor - Error executing process > 'EXPORT_SNP (2)' - -Caused by: - Failed to submit process to grid scheduler for execution - - -Command executed: - - sbatch .command.run - -Command exit status: - 1 - -Command output: - sbatch: error: invalid partition specified: your_partition_name - sbatch: error: Batch job submission failed: Invalid partition name specified - -Work dir: - /group/soranzo/bruno.ariano/TileDB-sumstat/work/a4/5a9af9b58d4fc68739e6e0ce37a23f - -Tip: when you have fixed the problem you can continue the execution adding the option `-resume` to the run command line -Nov-11 19:41:14.290 [Task submitter] INFO nextflow.Session - Execution cancelled -- Finishing pending tasks before exit -Nov-11 19:41:14.296 [main] DEBUG nextflow.Session - Session await > all processes finished -Nov-11 19:41:14.298 [Task monitor] DEBUG n.processor.TaskPollingMonitor - <<< barrier arrives (monitor: slurm) - terminating tasks monitor poll loop -Nov-11 19:41:14.299 [main] DEBUG nextflow.Session - Session await > all barriers passed -Nov-11 19:41:14.310 [main] DEBUG n.trace.WorkflowStatsObserver - Workflow completed > WorkflowStats[succeededCount=0; failedCount=1; ignoredCount=0; cachedCount=0; pendingCount=4; submittedCount=0; runningCount=-1; retriesCount=0; abortedCount=0; succeedDuration=0ms; failedDuration=0ms; cachedDuration=0ms;loadCpus=-4; loadMemory=0; peakRunning=0; peakCpus=0; peakMemory=0; ] -Nov-11 19:41:14.310 [main] DEBUG nextflow.trace.TraceFileObserver - Workflow completed -- saving trace file -Nov-11 19:41:14.314 [main] DEBUG nextflow.trace.ReportObserver - Workflow completed -- rendering execution report -Nov-11 19:41:14.855 [main] DEBUG nextflow.trace.TimelineObserver - Workflow completed -- rendering execution timeline -Nov-11 19:41:15.123 [main] DEBUG nextflow.cache.CacheDB - Closing CacheDB done -Nov-11 19:41:15.150 [main] DEBUG nextflow.util.ThreadPoolManager - Thread pool 'FileTransfer' shutdown completed (hard=false) -Nov-11 19:41:15.151 [main] DEBUG nextflow.script.ScriptRunner - > Execution complete -- Goodbye diff --git a/.nextflow.log.3 b/.nextflow.log.3 deleted file mode 100644 index a7801ae..0000000 --- a/.nextflow.log.3 +++ /dev/null @@ -1,77 +0,0 @@ -Nov-11 19:40:01.890 [main] DEBUG nextflow.cli.Launcher - $> nextflow run main.nf -profile test_export_snp,conda -Nov-11 19:40:02.025 [main] DEBUG nextflow.cli.CmdRun - N E X T F L O W ~ version 25.04.3 -Nov-11 19:40:02.047 [main] DEBUG nextflow.plugin.PluginsFacade - Setting up plugin manager > mode=prod; embedded=false; plugins-dir=/home/bruno.ariano/.nextflow/plugins; core-plugins: nf-amazon@2.15.0,nf-azure@1.16.0,nf-cloudcache@0.4.3,nf-codecommit@0.2.3,nf-console@1.2.1,nf-google@1.21.0,nf-k8s@1.0.0,nf-tower@1.11.3,nf-wave@1.12.1 -Nov-11 19:40:02.074 [main] INFO o.pf4j.DefaultPluginStatusProvider - Enabled plugins: [] -Nov-11 19:40:02.076 [main] INFO o.pf4j.DefaultPluginStatusProvider - Disabled plugins: [] -Nov-11 19:40:02.079 [main] INFO org.pf4j.DefaultPluginManager - PF4J version 3.12.0 in 'deployment' mode -Nov-11 19:40:02.091 [main] INFO org.pf4j.AbstractPluginManager - No plugins -Nov-11 19:40:02.115 [main] DEBUG nextflow.config.ConfigBuilder - Found config local: /group/soranzo/bruno.ariano/TileDB-sumstat/nextflow.config -Nov-11 19:40:02.119 [main] DEBUG nextflow.config.ConfigBuilder - Parsing config file: /group/soranzo/bruno.ariano/TileDB-sumstat/nextflow.config -Nov-11 19:40:02.177 [main] DEBUG n.secret.LocalSecretsProvider - Secrets store: /home/bruno.ariano/.nextflow/secrets/store.json -Nov-11 19:40:02.180 [main] DEBUG nextflow.secret.SecretsLoader - Discovered secrets providers: [nextflow.secret.LocalSecretsProvider@13e698c7] - activable => nextflow.secret.LocalSecretsProvider@13e698c7 -Nov-11 19:40:02.187 [main] DEBUG nextflow.config.ConfigBuilder - Applying config profile: `test_export_snp,conda` -Nov-11 19:40:03.079 [main] DEBUG nextflow.config.ConfigBuilder - Available config profiles: [test, apptainer, wave, docker, slurm, shifter, mamba, test_export_snp, charliecloud, conda, slurm_conda, test_export_lb, singularity, podman] -Nov-11 19:40:03.115 [main] DEBUG nextflow.cli.CmdRun - Applied DSL=2 by global default -Nov-11 19:40:03.132 [main] DEBUG nextflow.cli.CmdRun - Launching `main.nf` [drunk_stonebraker] DSL2 - revision: c230c78a2a -Nov-11 19:40:03.134 [main] DEBUG nextflow.plugin.PluginsFacade - Plugins default=[] -Nov-11 19:40:03.135 [main] DEBUG nextflow.plugin.PluginsFacade - Plugins resolved requirement=[] -Nov-11 19:40:03.254 [main] DEBUG nextflow.Session - Session UUID: fa42aa65-847f-4cb7-9022-43bfecc43e49 -Nov-11 19:40:03.257 [main] DEBUG nextflow.Session - Run name: drunk_stonebraker -Nov-11 19:40:03.258 [main] DEBUG nextflow.Session - Executor pool size: 8 -Nov-11 19:40:03.269 [main] DEBUG nextflow.file.FilePorter - File porter settings maxRetries=3; maxTransfers=50; pollTimeout=null -Nov-11 19:40:03.276 [main] DEBUG nextflow.util.ThreadPoolBuilder - Creating thread pool 'FileTransfer' minSize=10; maxSize=24; workQueue=LinkedBlockingQueue[-1]; allowCoreThreadTimeout=false -Nov-11 19:40:03.317 [main] DEBUG nextflow.cli.CmdRun - - Version: 25.04.3 build 5949 - Created: 02-06-2025 20:56 UTC (22:56 CEST) - System: Linux 4.18.0-477.13.1.el8_8.x86_64 - Runtime: Groovy 4.0.26 on OpenJDK 64-Bit Server VM 17.0.8.1+1 - Encoding: UTF-8 (UTF-8) - Process: 746088@cnode03 [192.168.104.103] - CPUs: 8 - Mem: 60 GB (50.5 GB) - Swap: 0 (0) -Nov-11 19:40:03.360 [main] DEBUG nextflow.Session - Work-dir: /group/soranzo/bruno.ariano/TileDB-sumstat/work [nfs] -Nov-11 19:40:03.361 [main] DEBUG nextflow.Session - Script base path does not exist or is not a directory: /group/soranzo/bruno.ariano/TileDB-sumstat/bin -Nov-11 19:40:03.373 [main] DEBUG nextflow.executor.ExecutorFactory - Extension executors providers=[] -Nov-11 19:40:03.385 [main] DEBUG nextflow.Session - Observer factory: DefaultObserverFactory -Nov-11 19:40:03.418 [main] DEBUG nextflow.Session - Observer factory (v2): LinObserverFactory -Nov-11 19:40:03.449 [main] DEBUG nextflow.cache.CacheFactory - Using Nextflow cache factory: nextflow.cache.DefaultCacheFactory -Nov-11 19:40:03.460 [main] DEBUG nextflow.util.CustomThreadPool - Creating default thread pool > poolSize: 9; maxThreads: 1000 -Nov-11 19:40:03.587 [main] DEBUG nextflow.Session - Session start -Nov-11 19:40:03.591 [main] DEBUG nextflow.trace.TraceFileObserver - Workflow started -- trace file: /group/soranzo/bruno.ariano/TileDB-sumstat/results/pipeline_info/execution_trace_2025-11-11_19-40-03.txt -Nov-11 19:40:03.876 [main] DEBUG nextflow.script.ScriptRunner - > Launching execution -Nov-11 19:40:04.429 [main] DEBUG nextflow.script.ProcessConfig - Config settings `withLabel:process_multi` matches labels `process_multi` for process with name EXPORT_SNP -Nov-11 19:40:04.445 [main] DEBUG nextflow.executor.ExecutorFactory - << taskConfig executor: null -Nov-11 19:40:04.445 [main] DEBUG nextflow.executor.ExecutorFactory - >> processorType: 'local' -Nov-11 19:40:04.453 [main] DEBUG nextflow.executor.Executor - [warm up] executor > local -Nov-11 19:40:04.461 [main] DEBUG n.processor.LocalPollingMonitor - Creating local task monitor for executor 'local' > cpus=8; memory=60 GB; capacity=8; pollInterval=100ms; dumpInterval=5m -Nov-11 19:40:04.467 [main] DEBUG n.processor.TaskPollingMonitor - >>> barrier register (monitor: local) -Nov-11 19:40:04.492 [main] DEBUG nextflow.processor.TaskProcessor - Creating process 'EXPORT_SNP': maxForks=0; fair=false; array=0 -Nov-11 19:40:04.528 [main] DEBUG nextflow.Session - Workflow process names [dsl2]: EXPORT_LOCUSBREAKER, MERGE_METADATA, EXPORT_REGIONS, EXPORT_SNP, INGEST_DATA, CREATE_TILEDB -Nov-11 19:40:04.531 [main] DEBUG nextflow.Session - Igniting dataflow network (2) -Nov-11 19:40:04.538 [main] DEBUG nextflow.processor.TaskProcessor - Starting process > EXPORT_SNP -Nov-11 19:40:04.539 [main] DEBUG nextflow.script.ScriptRunner - Parsed script files: - Script_f79ff21670d5e55f: /group/soranzo/bruno.ariano/TileDB-sumstat/modules/regions/main.nf - Script_7b14281b3e71c830: /group/soranzo/bruno.ariano/TileDB-sumstat/modules/merge_metadata/main.nf - Script_fa94f925e889eb3d: /group/soranzo/bruno.ariano/TileDB-sumstat/modules/create_tiledb/main.nf - Script_407064212709c912: /group/soranzo/bruno.ariano/TileDB-sumstat/main.nf - Script_9642d9956a1c233a: /group/soranzo/bruno.ariano/TileDB-sumstat/modules/ingestion/main.nf - Script_db897bc2c0454a54: /group/soranzo/bruno.ariano/TileDB-sumstat/modules/snp/main.nf - Script_aef310e1ce2070d7: /group/soranzo/bruno.ariano/TileDB-sumstat/modules/locusbreaker/main.nf -Nov-11 19:40:04.540 [main] DEBUG nextflow.script.ScriptRunner - > Awaiting termination -Nov-11 19:40:04.540 [main] DEBUG nextflow.Session - Session await -Nov-11 19:40:04.561 [Actor Thread 6] DEBUG n.splitter.AbstractTextSplitter - Splitter `Text` collector path: nextflow.splitter.TextFileCollector$CachePath(/group/soranzo/bruno.ariano/TileDB-sumstat/work/49/f01a03cb498729d8eb14bc7ccea16e/snps_ale.csv, null) -Nov-11 19:40:04.741 [Actor Thread 6] DEBUG nextflow.conda.CondaCache - conda found local env for environment=/ssu/gassu/conda_envs/scqtl; path=/ssu/gassu/conda_envs/scqtl -Nov-11 19:40:04.845 [Task submitter] DEBUG n.executor.local.LocalTaskHandler - Launch cmd line: /bin/bash -ue .command.run -Nov-11 19:40:04.848 [Task submitter] INFO nextflow.Session - [50/8b6364] Submitted process > EXPORT_SNP (3) -Nov-11 19:41:02.126 [SIGINT handler] DEBUG nextflow.Session - Session aborted -- Cause: SIGINT -Nov-11 19:41:02.146 [Task monitor] DEBUG n.processor.TaskPollingMonitor - <<< barrier arrives (monitor: local) - terminating tasks monitor poll loop -Nov-11 19:41:02.148 [main] DEBUG nextflow.Session - Session await > all processes finished -Nov-11 19:41:02.148 [main] DEBUG nextflow.Session - Session await > all barriers passed -Nov-11 19:41:02.153 [main] WARN n.processor.TaskPollingMonitor - Killing running tasks (1) -Nov-11 19:41:02.164 [main] DEBUG n.executor.local.LocalTaskHandler - Unable to kill EXPORT_SNP (3) -- command: kill -TERM 746408; exit: 1 - bash: line 0: kill: (746408) - No such process - -Nov-11 19:41:02.183 [main] DEBUG n.trace.WorkflowStatsObserver - Workflow completed > WorkflowStats[succeededCount=0; failedCount=0; ignoredCount=0; cachedCount=0; pendingCount=3; submittedCount=0; runningCount=0; retriesCount=0; abortedCount=1; succeedDuration=0ms; failedDuration=0ms; cachedDuration=0ms;loadCpus=0; loadMemory=0; peakRunning=1; peakCpus=6; peakMemory=30 GB; ] -Nov-11 19:41:02.184 [main] DEBUG nextflow.trace.TraceFileObserver - Workflow completed -- saving trace file -Nov-11 19:41:02.186 [main] DEBUG nextflow.trace.ReportObserver - Workflow completed -- rendering execution report -Nov-11 19:41:02.706 [SIGINT handler] INFO nextflow.Session - Adieu -Nov-11 19:41:02.723 [main] DEBUG nextflow.trace.TimelineObserver - Workflow completed -- rendering execution timeline diff --git a/.nextflow.log.4 b/.nextflow.log.4 deleted file mode 100644 index 5dbf217..0000000 --- a/.nextflow.log.4 +++ /dev/null @@ -1,78 +0,0 @@ -Nov-11 19:36:35.612 [main] DEBUG nextflow.cli.Launcher - $> nextflow run main.nf -profile test_export_snp,conda -Nov-11 19:36:35.999 [main] DEBUG nextflow.cli.CmdRun - N E X T F L O W ~ version 25.04.3 -Nov-11 19:36:36.227 [main] DEBUG nextflow.plugin.PluginsFacade - Setting up plugin manager > mode=prod; embedded=false; plugins-dir=/home/bruno.ariano/.nextflow/plugins; core-plugins: nf-amazon@2.15.0,nf-azure@1.16.0,nf-cloudcache@0.4.3,nf-codecommit@0.2.3,nf-console@1.2.1,nf-google@1.21.0,nf-k8s@1.0.0,nf-tower@1.11.3,nf-wave@1.12.1 -Nov-11 19:36:36.387 [main] INFO o.pf4j.DefaultPluginStatusProvider - Enabled plugins: [] -Nov-11 19:36:36.388 [main] INFO o.pf4j.DefaultPluginStatusProvider - Disabled plugins: [] -Nov-11 19:36:36.391 [main] INFO org.pf4j.DefaultPluginManager - PF4J version 3.12.0 in 'deployment' mode -Nov-11 19:36:36.493 [main] INFO org.pf4j.AbstractPluginManager - No plugins -Nov-11 19:36:36.533 [main] DEBUG nextflow.config.ConfigBuilder - Found config local: /group/soranzo/bruno.ariano/TileDB-sumstat/nextflow.config -Nov-11 19:36:36.536 [main] DEBUG nextflow.config.ConfigBuilder - Parsing config file: /group/soranzo/bruno.ariano/TileDB-sumstat/nextflow.config -Nov-11 19:36:36.675 [main] DEBUG n.secret.LocalSecretsProvider - Secrets store: /home/bruno.ariano/.nextflow/secrets/store.json -Nov-11 19:36:36.680 [main] DEBUG nextflow.secret.SecretsLoader - Discovered secrets providers: [nextflow.secret.LocalSecretsProvider@64e1dd11] - activable => nextflow.secret.LocalSecretsProvider@64e1dd11 -Nov-11 19:36:36.687 [main] DEBUG nextflow.config.ConfigBuilder - Applying config profile: `test_export_snp,conda` -Nov-11 19:36:38.151 [main] DEBUG nextflow.config.ConfigBuilder - Available config profiles: [shifter, test, mamba, test_export_snp, charliecloud, apptainer, conda, test_export_lb, singularity, wave, docker, podman] -Nov-11 19:36:38.203 [main] DEBUG nextflow.cli.CmdRun - Applied DSL=2 by global default -Nov-11 19:36:38.285 [main] DEBUG nextflow.cli.CmdRun - Launching `main.nf` [distraught_cori] DSL2 - revision: c230c78a2a -Nov-11 19:36:38.287 [main] DEBUG nextflow.plugin.PluginsFacade - Plugins default=[] -Nov-11 19:36:38.287 [main] DEBUG nextflow.plugin.PluginsFacade - Plugins resolved requirement=[] -Nov-11 19:36:38.480 [main] DEBUG nextflow.Session - Session UUID: 369a006d-df35-43c4-af49-340766553168 -Nov-11 19:36:38.480 [main] DEBUG nextflow.Session - Run name: distraught_cori -Nov-11 19:36:38.481 [main] DEBUG nextflow.Session - Executor pool size: 8 -Nov-11 19:36:38.501 [main] DEBUG nextflow.file.FilePorter - File porter settings maxRetries=3; maxTransfers=50; pollTimeout=null -Nov-11 19:36:38.506 [main] DEBUG nextflow.util.ThreadPoolBuilder - Creating thread pool 'FileTransfer' minSize=10; maxSize=24; workQueue=LinkedBlockingQueue[-1]; allowCoreThreadTimeout=false -Nov-11 19:36:38.911 [main] DEBUG nextflow.cli.CmdRun - - Version: 25.04.3 build 5949 - Created: 02-06-2025 20:56 UTC (22:56 CEST) - System: Linux 4.18.0-477.13.1.el8_8.x86_64 - Runtime: Groovy 4.0.26 on OpenJDK 64-Bit Server VM 17.0.8.1+1 - Encoding: UTF-8 (UTF-8) - Process: 726116@cnode03 [192.168.104.103] - CPUs: 8 - Mem: 60 GB (59.7 GB) - Swap: 0 (0) -Nov-11 19:36:38.953 [main] DEBUG nextflow.Session - Work-dir: /group/soranzo/bruno.ariano/TileDB-sumstat/work [nfs] -Nov-11 19:36:38.954 [main] DEBUG nextflow.Session - Script base path does not exist or is not a directory: /group/soranzo/bruno.ariano/TileDB-sumstat/bin -Nov-11 19:36:38.987 [main] DEBUG nextflow.executor.ExecutorFactory - Extension executors providers=[] -Nov-11 19:36:38.998 [main] DEBUG nextflow.Session - Observer factory: DefaultObserverFactory -Nov-11 19:36:39.025 [main] DEBUG nextflow.Session - Observer factory (v2): LinObserverFactory -Nov-11 19:36:39.053 [main] DEBUG nextflow.cache.CacheFactory - Using Nextflow cache factory: nextflow.cache.DefaultCacheFactory -Nov-11 19:36:39.076 [main] DEBUG nextflow.util.CustomThreadPool - Creating default thread pool > poolSize: 9; maxThreads: 1000 -Nov-11 19:36:39.524 [main] DEBUG nextflow.Session - Session start -Nov-11 19:36:39.528 [main] DEBUG nextflow.trace.TraceFileObserver - Workflow started -- trace file: /group/soranzo/bruno.ariano/TileDB-sumstat/results/pipeline_info/execution_trace_2025-11-11_19-36-38.txt -Nov-11 19:36:39.815 [main] DEBUG nextflow.script.ScriptRunner - > Launching execution -Nov-11 19:36:40.350 [main] DEBUG nextflow.script.ProcessConfig - Config settings `withLabel:process_multi` matches labels `process_multi` for process with name EXPORT_SNP -Nov-11 19:36:40.359 [main] DEBUG nextflow.executor.ExecutorFactory - << taskConfig executor: null -Nov-11 19:36:40.359 [main] DEBUG nextflow.executor.ExecutorFactory - >> processorType: 'local' -Nov-11 19:36:40.365 [main] DEBUG nextflow.executor.Executor - [warm up] executor > local -Nov-11 19:36:40.373 [main] DEBUG n.processor.LocalPollingMonitor - Creating local task monitor for executor 'local' > cpus=8; memory=60 GB; capacity=8; pollInterval=100ms; dumpInterval=5m -Nov-11 19:36:40.391 [main] DEBUG n.processor.TaskPollingMonitor - >>> barrier register (monitor: local) -Nov-11 19:36:40.414 [main] DEBUG nextflow.processor.TaskProcessor - Creating process 'EXPORT_SNP': maxForks=0; fair=false; array=0 -Nov-11 19:36:40.446 [main] DEBUG nextflow.Session - Workflow process names [dsl2]: EXPORT_LOCUSBREAKER, MERGE_METADATA, EXPORT_REGIONS, INGEST_DATA, CREATE_TILEDB, EXPORT_SNP -Nov-11 19:36:40.448 [main] DEBUG nextflow.Session - Igniting dataflow network (2) -Nov-11 19:36:40.454 [main] DEBUG nextflow.processor.TaskProcessor - Starting process > EXPORT_SNP -Nov-11 19:36:40.455 [main] DEBUG nextflow.script.ScriptRunner - Parsed script files: - Script_f79ff21670d5e55f: /group/soranzo/bruno.ariano/TileDB-sumstat/modules/regions/main.nf - Script_7b14281b3e71c830: /group/soranzo/bruno.ariano/TileDB-sumstat/modules/merge_metadata/main.nf - Script_fa94f925e889eb3d: /group/soranzo/bruno.ariano/TileDB-sumstat/modules/create_tiledb/main.nf - Script_407064212709c912: /group/soranzo/bruno.ariano/TileDB-sumstat/main.nf - Script_9642d9956a1c233a: /group/soranzo/bruno.ariano/TileDB-sumstat/modules/ingestion/main.nf - Script_db897bc2c0454a54: /group/soranzo/bruno.ariano/TileDB-sumstat/modules/snp/main.nf - Script_aef310e1ce2070d7: /group/soranzo/bruno.ariano/TileDB-sumstat/modules/locusbreaker/main.nf -Nov-11 19:36:40.455 [main] DEBUG nextflow.script.ScriptRunner - > Awaiting termination -Nov-11 19:36:40.455 [main] DEBUG nextflow.Session - Session await -Nov-11 19:36:40.478 [Actor Thread 6] DEBUG n.splitter.AbstractTextSplitter - Splitter `Text` collector path: nextflow.splitter.TextFileCollector$CachePath(/group/soranzo/bruno.ariano/TileDB-sumstat/work/c8/a6fb02355a041e507aaf80fa50496b/snps_ale.csv, null) -Nov-11 19:36:40.675 [Actor Thread 8] DEBUG nextflow.conda.CondaCache - conda found local env for environment=/ssu/gassu/conda_envs/scqtl; path=/ssu/gassu/conda_envs/scqtl -Nov-11 19:36:40.781 [Task submitter] DEBUG n.executor.local.LocalTaskHandler - Launch cmd line: /bin/bash -ue .command.run -Nov-11 19:36:40.784 [Task submitter] INFO nextflow.Session - [24/f2a66f] Submitted process > EXPORT_SNP (1) -Nov-11 19:37:38.556 [SIGINT handler] DEBUG nextflow.Session - Session aborted -- Cause: SIGINT -Nov-11 19:37:38.561 [Task monitor] DEBUG n.processor.TaskPollingMonitor - <<< barrier arrives (monitor: local) - terminating tasks monitor poll loop -Nov-11 19:37:38.573 [main] DEBUG nextflow.Session - Session await > all processes finished -Nov-11 19:37:38.573 [main] DEBUG nextflow.Session - Session await > all barriers passed -Nov-11 19:37:38.577 [main] WARN n.processor.TaskPollingMonitor - Killing running tasks (1) -Nov-11 19:37:38.586 [main] DEBUG n.executor.local.LocalTaskHandler - Unable to kill EXPORT_SNP (1) -- command: kill -TERM 727686; exit: 1 - bash: line 0: kill: (727686) - No such process - -Nov-11 19:37:38.602 [main] DEBUG n.trace.WorkflowStatsObserver - Workflow completed > WorkflowStats[succeededCount=0; failedCount=0; ignoredCount=0; cachedCount=0; pendingCount=1; submittedCount=0; runningCount=0; retriesCount=0; abortedCount=1; succeedDuration=0ms; failedDuration=0ms; cachedDuration=0ms;loadCpus=0; loadMemory=0; peakRunning=1; peakCpus=6; peakMemory=30 GB; ] -Nov-11 19:37:38.602 [main] DEBUG nextflow.trace.TraceFileObserver - Workflow completed -- saving trace file -Nov-11 19:37:38.604 [main] DEBUG nextflow.trace.ReportObserver - Workflow completed -- rendering execution report -Nov-11 19:37:39.168 [main] DEBUG nextflow.trace.TimelineObserver - Workflow completed -- rendering execution timeline -Nov-11 19:37:39.300 [main] DEBUG nextflow.cache.CacheDB - Closing CacheDB done -Nov-11 19:37:39.328 [main] DEBUG nextflow.script.ScriptRunner - > Execution complete -- Goodbye diff --git a/.nextflow.log.5 b/.nextflow.log.5 deleted file mode 100644 index 18eea03..0000000 --- a/.nextflow.log.5 +++ /dev/null @@ -1,128 +0,0 @@ -Nov-11 13:37:45.095 [main] DEBUG nextflow.cli.Launcher - $> nextflow run main.nf -profile test_export_snp,conda -Nov-11 13:37:45.258 [main] DEBUG nextflow.cli.CmdRun - N E X T F L O W ~ version 25.04.3 -Nov-11 13:37:45.278 [main] DEBUG nextflow.plugin.PluginsFacade - Setting up plugin manager > mode=prod; embedded=false; plugins-dir=/home/bruno.ariano/.nextflow/plugins; core-plugins: nf-amazon@2.15.0,nf-azure@1.16.0,nf-cloudcache@0.4.3,nf-codecommit@0.2.3,nf-console@1.2.1,nf-google@1.21.0,nf-k8s@1.0.0,nf-tower@1.11.3,nf-wave@1.12.1 -Nov-11 13:37:45.303 [main] INFO o.pf4j.DefaultPluginStatusProvider - Enabled plugins: [] -Nov-11 13:37:45.304 [main] INFO o.pf4j.DefaultPluginStatusProvider - Disabled plugins: [] -Nov-11 13:37:45.307 [main] INFO org.pf4j.DefaultPluginManager - PF4J version 3.12.0 in 'deployment' mode -Nov-11 13:37:45.319 [main] INFO org.pf4j.AbstractPluginManager - No plugins -Nov-11 13:37:45.340 [main] DEBUG nextflow.config.ConfigBuilder - Found config local: /group/soranzo/bruno.ariano/TileDB-sumstat/nextflow.config -Nov-11 13:37:45.343 [main] DEBUG nextflow.config.ConfigBuilder - Parsing config file: /group/soranzo/bruno.ariano/TileDB-sumstat/nextflow.config -Nov-11 13:37:45.384 [main] DEBUG n.secret.LocalSecretsProvider - Secrets store: /home/bruno.ariano/.nextflow/secrets/store.json -Nov-11 13:37:45.387 [main] DEBUG nextflow.secret.SecretsLoader - Discovered secrets providers: [nextflow.secret.LocalSecretsProvider@13e698c7] - activable => nextflow.secret.LocalSecretsProvider@13e698c7 -Nov-11 13:37:45.394 [main] DEBUG nextflow.config.ConfigBuilder - Applying config profile: `test_export_snp,conda` -Nov-11 13:37:46.165 [main] DEBUG nextflow.config.ConfigBuilder - Available config profiles: [shifter, test, mamba, test_export_snp, charliecloud, apptainer, conda, test_export_lb, singularity, wave, docker, podman] -Nov-11 13:37:46.196 [main] DEBUG nextflow.cli.CmdRun - Applied DSL=2 by global default -Nov-11 13:37:46.211 [main] DEBUG nextflow.cli.CmdRun - Launching `main.nf` [magical_chandrasekhar] DSL2 - revision: c230c78a2a -Nov-11 13:37:46.212 [main] DEBUG nextflow.plugin.PluginsFacade - Plugins default=[] -Nov-11 13:37:46.213 [main] DEBUG nextflow.plugin.PluginsFacade - Plugins resolved requirement=[] -Nov-11 13:37:46.260 [main] DEBUG nextflow.Session - Session UUID: 152176fb-984a-4b34-9930-16352766f3e6 -Nov-11 13:37:46.260 [main] DEBUG nextflow.Session - Run name: magical_chandrasekhar -Nov-11 13:37:46.261 [main] DEBUG nextflow.Session - Executor pool size: 8 -Nov-11 13:37:46.269 [main] DEBUG nextflow.file.FilePorter - File porter settings maxRetries=3; maxTransfers=50; pollTimeout=null -Nov-11 13:37:46.274 [main] DEBUG nextflow.util.ThreadPoolBuilder - Creating thread pool 'FileTransfer' minSize=10; maxSize=24; workQueue=LinkedBlockingQueue[-1]; allowCoreThreadTimeout=false -Nov-11 13:37:46.305 [main] DEBUG nextflow.cli.CmdRun - - Version: 25.04.3 build 5949 - Created: 02-06-2025 20:56 UTC (22:56 CEST) - System: Linux 4.18.0-477.13.1.el8_8.x86_64 - Runtime: Groovy 4.0.26 on OpenJDK 64-Bit Server VM 17.0.8.1+1 - Encoding: UTF-8 (UTF-8) - Process: 2708869@cnode15 [192.168.104.115] - CPUs: 8 - Mem: 60 GB (48 GB) - Swap: 0 (0) -Nov-11 13:37:46.338 [main] DEBUG nextflow.Session - Work-dir: /group/soranzo/bruno.ariano/TileDB-sumstat/work [nfs] -Nov-11 13:37:46.339 [main] DEBUG nextflow.Session - Script base path does not exist or is not a directory: /group/soranzo/bruno.ariano/TileDB-sumstat/bin -Nov-11 13:37:46.349 [main] DEBUG nextflow.executor.ExecutorFactory - Extension executors providers=[] -Nov-11 13:37:46.358 [main] DEBUG nextflow.Session - Observer factory: DefaultObserverFactory -Nov-11 13:37:46.383 [main] DEBUG nextflow.Session - Observer factory (v2): LinObserverFactory -Nov-11 13:37:46.407 [main] DEBUG nextflow.cache.CacheFactory - Using Nextflow cache factory: nextflow.cache.DefaultCacheFactory -Nov-11 13:37:46.416 [main] DEBUG nextflow.util.CustomThreadPool - Creating default thread pool > poolSize: 9; maxThreads: 1000 -Nov-11 13:37:46.513 [main] DEBUG nextflow.Session - Session start -Nov-11 13:37:46.518 [main] DEBUG nextflow.trace.TraceFileObserver - Workflow started -- trace file: /group/soranzo/bruno.ariano/TileDB-sumstat/results/pipeline_info/execution_trace_2025-11-11_13-37-46.txt -Nov-11 13:37:46.932 [main] DEBUG nextflow.script.ScriptRunner - > Launching execution -Nov-11 13:37:47.436 [main] DEBUG nextflow.script.ProcessConfig - Config settings `withLabel:process_multi` matches labels `process_multi` for process with name EXPORT_SNP -Nov-11 13:37:47.447 [main] DEBUG nextflow.executor.ExecutorFactory - << taskConfig executor: null -Nov-11 13:37:47.447 [main] DEBUG nextflow.executor.ExecutorFactory - >> processorType: 'local' -Nov-11 13:37:47.453 [main] DEBUG nextflow.executor.Executor - [warm up] executor > local -Nov-11 13:37:47.459 [main] DEBUG n.processor.LocalPollingMonitor - Creating local task monitor for executor 'local' > cpus=8; memory=60 GB; capacity=8; pollInterval=100ms; dumpInterval=5m -Nov-11 13:37:47.461 [main] DEBUG n.processor.TaskPollingMonitor - >>> barrier register (monitor: local) -Nov-11 13:37:47.483 [main] DEBUG nextflow.processor.TaskProcessor - Creating process 'EXPORT_SNP': maxForks=0; fair=false; array=0 -Nov-11 13:37:47.514 [main] DEBUG nextflow.Session - Workflow process names [dsl2]: EXPORT_LOCUSBREAKER, MERGE_METADATA, EXPORT_REGIONS, INGEST_DATA, CREATE_TILEDB, EXPORT_SNP -Nov-11 13:37:47.518 [main] DEBUG nextflow.Session - Igniting dataflow network (2) -Nov-11 13:37:47.533 [main] DEBUG nextflow.processor.TaskProcessor - Starting process > EXPORT_SNP -Nov-11 13:37:47.534 [main] DEBUG nextflow.script.ScriptRunner - Parsed script files: - Script_7b14281b3e71c830: /group/soranzo/bruno.ariano/TileDB-sumstat/modules/merge_metadata/main.nf - Script_f79ff21670d5e55f: /group/soranzo/bruno.ariano/TileDB-sumstat/modules/regions/main.nf - Script_fa94f925e889eb3d: /group/soranzo/bruno.ariano/TileDB-sumstat/modules/create_tiledb/main.nf - Script_407064212709c912: /group/soranzo/bruno.ariano/TileDB-sumstat/main.nf - Script_9642d9956a1c233a: /group/soranzo/bruno.ariano/TileDB-sumstat/modules/ingestion/main.nf - Script_aef310e1ce2070d7: /group/soranzo/bruno.ariano/TileDB-sumstat/modules/locusbreaker/main.nf - Script_db897bc2c0454a54: /group/soranzo/bruno.ariano/TileDB-sumstat/modules/snp/main.nf -Nov-11 13:37:47.534 [main] DEBUG nextflow.script.ScriptRunner - > Awaiting termination -Nov-11 13:37:47.534 [main] DEBUG nextflow.Session - Session await -Nov-11 13:37:47.561 [Actor Thread 6] DEBUG n.splitter.AbstractTextSplitter - Splitter `Text` collector path: nextflow.splitter.TextFileCollector$CachePath(/group/soranzo/bruno.ariano/TileDB-sumstat/work/6e/208e568cf21722f316a525a3c154ad/snps_ale.csv, null) -Nov-11 13:37:47.721 [Actor Thread 8] DEBUG nextflow.conda.CondaCache - conda found local env for environment=/ssu/gassu/conda_envs/scqtl; path=/ssu/gassu/conda_envs/scqtl -Nov-11 13:37:47.811 [Task submitter] DEBUG n.executor.local.LocalTaskHandler - Launch cmd line: /bin/bash -ue .command.run -Nov-11 13:37:47.813 [Task submitter] INFO nextflow.Session - [86/0d5432] Submitted process > EXPORT_SNP (2) -Nov-11 13:42:47.631 [Task monitor] DEBUG n.processor.TaskPollingMonitor - !! executor local > tasks to be completed: 1 -- submitted tasks are shown below -~> TaskHandler[id: 2; name: EXPORT_SNP (2); status: RUNNING; exit: -; error: -; workDir: /group/soranzo/bruno.ariano/TileDB-sumstat/work/86/0d54325ece0958e42aa25bc6318f6f] -Nov-11 13:42:47.977 [Task submitter] DEBUG n.processor.TaskPollingMonitor - %% executor local > tasks in the submission queue: 1 -- tasks to be submitted are shown below -~> TaskHandler[id: 1; name: EXPORT_SNP (1); status: NEW; exit: -; error: -; workDir: /group/soranzo/bruno.ariano/TileDB-sumstat/work/3f/d527ebb95a5377d270b37caf32f46e] -Nov-11 13:47:47.694 [Task monitor] DEBUG n.processor.TaskPollingMonitor - !! executor local > tasks to be completed: 1 -- submitted tasks are shown below -~> TaskHandler[id: 2; name: EXPORT_SNP (2); status: RUNNING; exit: -; error: -; workDir: /group/soranzo/bruno.ariano/TileDB-sumstat/work/86/0d54325ece0958e42aa25bc6318f6f] -Nov-11 13:47:48.101 [Task submitter] DEBUG n.processor.TaskPollingMonitor - %% executor local > tasks in the submission queue: 1 -- tasks to be submitted are shown below -~> TaskHandler[id: 1; name: EXPORT_SNP (1); status: NEW; exit: -; error: -; workDir: /group/soranzo/bruno.ariano/TileDB-sumstat/work/3f/d527ebb95a5377d270b37caf32f46e] -Nov-11 13:52:47.725 [Task monitor] DEBUG n.processor.TaskPollingMonitor - !! executor local > tasks to be completed: 1 -- submitted tasks are shown below -~> TaskHandler[id: 2; name: EXPORT_SNP (2); status: RUNNING; exit: -; error: -; workDir: /group/soranzo/bruno.ariano/TileDB-sumstat/work/86/0d54325ece0958e42aa25bc6318f6f] -Nov-11 13:52:48.194 [Task submitter] DEBUG n.processor.TaskPollingMonitor - %% executor local > tasks in the submission queue: 1 -- tasks to be submitted are shown below -~> TaskHandler[id: 1; name: EXPORT_SNP (1); status: NEW; exit: -; error: -; workDir: /group/soranzo/bruno.ariano/TileDB-sumstat/work/3f/d527ebb95a5377d270b37caf32f46e] -Nov-11 13:57:47.752 [Task monitor] DEBUG n.processor.TaskPollingMonitor - !! executor local > tasks to be completed: 1 -- submitted tasks are shown below -~> TaskHandler[id: 2; name: EXPORT_SNP (2); status: RUNNING; exit: -; error: -; workDir: /group/soranzo/bruno.ariano/TileDB-sumstat/work/86/0d54325ece0958e42aa25bc6318f6f] -Nov-11 13:57:48.270 [Task submitter] DEBUG n.processor.TaskPollingMonitor - %% executor local > tasks in the submission queue: 1 -- tasks to be submitted are shown below -~> TaskHandler[id: 1; name: EXPORT_SNP (1); status: NEW; exit: -; error: -; workDir: /group/soranzo/bruno.ariano/TileDB-sumstat/work/3f/d527ebb95a5377d270b37caf32f46e] -Nov-11 14:02:47.769 [Task monitor] DEBUG n.processor.TaskPollingMonitor - !! executor local > tasks to be completed: 1 -- submitted tasks are shown below -~> TaskHandler[id: 2; name: EXPORT_SNP (2); status: RUNNING; exit: -; error: -; workDir: /group/soranzo/bruno.ariano/TileDB-sumstat/work/86/0d54325ece0958e42aa25bc6318f6f] -Nov-11 14:02:48.355 [Task submitter] DEBUG n.processor.TaskPollingMonitor - %% executor local > tasks in the submission queue: 1 -- tasks to be submitted are shown below -~> TaskHandler[id: 1; name: EXPORT_SNP (1); status: NEW; exit: -; error: -; workDir: /group/soranzo/bruno.ariano/TileDB-sumstat/work/3f/d527ebb95a5377d270b37caf32f46e] -Nov-11 14:07:47.819 [Task monitor] DEBUG n.processor.TaskPollingMonitor - !! executor local > tasks to be completed: 1 -- submitted tasks are shown below -~> TaskHandler[id: 2; name: EXPORT_SNP (2); status: RUNNING; exit: -; error: -; workDir: /group/soranzo/bruno.ariano/TileDB-sumstat/work/86/0d54325ece0958e42aa25bc6318f6f] -Nov-11 14:07:48.427 [Task submitter] DEBUG n.processor.TaskPollingMonitor - %% executor local > tasks in the submission queue: 1 -- tasks to be submitted are shown below -~> TaskHandler[id: 1; name: EXPORT_SNP (1); status: NEW; exit: -; error: -; workDir: /group/soranzo/bruno.ariano/TileDB-sumstat/work/3f/d527ebb95a5377d270b37caf32f46e] -Nov-11 14:12:47.874 [Task monitor] DEBUG n.processor.TaskPollingMonitor - !! executor local > tasks to be completed: 1 -- submitted tasks are shown below -~> TaskHandler[id: 2; name: EXPORT_SNP (2); status: RUNNING; exit: -; error: -; workDir: /group/soranzo/bruno.ariano/TileDB-sumstat/work/86/0d54325ece0958e42aa25bc6318f6f] -Nov-11 14:12:48.507 [Task submitter] DEBUG n.processor.TaskPollingMonitor - %% executor local > tasks in the submission queue: 1 -- tasks to be submitted are shown below -~> TaskHandler[id: 1; name: EXPORT_SNP (1); status: NEW; exit: -; error: -; workDir: /group/soranzo/bruno.ariano/TileDB-sumstat/work/3f/d527ebb95a5377d270b37caf32f46e] -Nov-11 14:16:47.369 [Task monitor] DEBUG n.processor.TaskPollingMonitor - Task completed > TaskHandler[id: 2; name: EXPORT_SNP (2); status: COMPLETED; exit: 0; error: -; workDir: /group/soranzo/bruno.ariano/TileDB-sumstat/work/86/0d54325ece0958e42aa25bc6318f6f] -Nov-11 14:16:47.371 [Task monitor] DEBUG nextflow.util.ThreadPoolBuilder - Creating thread pool 'TaskFinalizer' minSize=10; maxSize=24; workQueue=LinkedBlockingQueue[-1]; allowCoreThreadTimeout=false -Nov-11 14:16:47.388 [Task submitter] DEBUG n.executor.local.LocalTaskHandler - Launch cmd line: /bin/bash -ue .command.run -Nov-11 14:16:47.388 [Task submitter] INFO nextflow.Session - [3f/d527eb] Submitted process > EXPORT_SNP (1) -Nov-11 14:16:47.411 [TaskFinalizer-1] DEBUG nextflow.util.ThreadPoolBuilder - Creating thread pool 'PublishDir' minSize=10; maxSize=24; workQueue=LinkedBlockingQueue[-1]; allowCoreThreadTimeout=false -Nov-11 14:17:47.930 [Task monitor] DEBUG n.processor.TaskPollingMonitor - !! executor local > tasks to be completed: 1 -- submitted tasks are shown below -~> TaskHandler[id: 1; name: EXPORT_SNP (1); status: RUNNING; exit: -; error: -; workDir: /group/soranzo/bruno.ariano/TileDB-sumstat/work/3f/d527ebb95a5377d270b37caf32f46e] -Nov-11 14:22:47.956 [Task monitor] DEBUG n.processor.TaskPollingMonitor - !! executor local > tasks to be completed: 1 -- submitted tasks are shown below -~> TaskHandler[id: 1; name: EXPORT_SNP (1); status: RUNNING; exit: -; error: -; workDir: /group/soranzo/bruno.ariano/TileDB-sumstat/work/3f/d527ebb95a5377d270b37caf32f46e] -Nov-11 14:27:48.042 [Task monitor] DEBUG n.processor.TaskPollingMonitor - !! executor local > tasks to be completed: 1 -- submitted tasks are shown below -~> TaskHandler[id: 1; name: EXPORT_SNP (1); status: RUNNING; exit: -; error: -; workDir: /group/soranzo/bruno.ariano/TileDB-sumstat/work/3f/d527ebb95a5377d270b37caf32f46e] -Nov-11 14:32:48.123 [Task monitor] DEBUG n.processor.TaskPollingMonitor - !! executor local > tasks to be completed: 1 -- submitted tasks are shown below -~> TaskHandler[id: 1; name: EXPORT_SNP (1); status: RUNNING; exit: -; error: -; workDir: /group/soranzo/bruno.ariano/TileDB-sumstat/work/3f/d527ebb95a5377d270b37caf32f46e] -Nov-11 14:37:48.124 [Task monitor] DEBUG n.processor.TaskPollingMonitor - !! executor local > tasks to be completed: 1 -- submitted tasks are shown below -~> TaskHandler[id: 1; name: EXPORT_SNP (1); status: RUNNING; exit: -; error: -; workDir: /group/soranzo/bruno.ariano/TileDB-sumstat/work/3f/d527ebb95a5377d270b37caf32f46e] -Nov-11 14:42:48.168 [Task monitor] DEBUG n.processor.TaskPollingMonitor - !! executor local > tasks to be completed: 1 -- submitted tasks are shown below -~> TaskHandler[id: 1; name: EXPORT_SNP (1); status: RUNNING; exit: -; error: -; workDir: /group/soranzo/bruno.ariano/TileDB-sumstat/work/3f/d527ebb95a5377d270b37caf32f46e] -Nov-11 14:47:48.181 [Task monitor] DEBUG n.processor.TaskPollingMonitor - !! executor local > tasks to be completed: 1 -- submitted tasks are shown below -~> TaskHandler[id: 1; name: EXPORT_SNP (1); status: RUNNING; exit: -; error: -; workDir: /group/soranzo/bruno.ariano/TileDB-sumstat/work/3f/d527ebb95a5377d270b37caf32f46e] -Nov-11 14:52:48.224 [Task monitor] DEBUG n.processor.TaskPollingMonitor - !! executor local > tasks to be completed: 1 -- submitted tasks are shown below -~> TaskHandler[id: 1; name: EXPORT_SNP (1); status: RUNNING; exit: -; error: -; workDir: /group/soranzo/bruno.ariano/TileDB-sumstat/work/3f/d527ebb95a5377d270b37caf32f46e] -Nov-11 14:57:48.282 [Task monitor] DEBUG n.processor.TaskPollingMonitor - !! executor local > tasks to be completed: 1 -- submitted tasks are shown below -~> TaskHandler[id: 1; name: EXPORT_SNP (1); status: RUNNING; exit: -; error: -; workDir: /group/soranzo/bruno.ariano/TileDB-sumstat/work/3f/d527ebb95a5377d270b37caf32f46e] -Nov-11 14:58:32.117 [Task monitor] DEBUG n.processor.TaskPollingMonitor - Task completed > TaskHandler[id: 1; name: EXPORT_SNP (1); status: COMPLETED; exit: 0; error: -; workDir: /group/soranzo/bruno.ariano/TileDB-sumstat/work/3f/d527ebb95a5377d270b37caf32f46e] -Nov-11 14:58:32.158 [main] DEBUG nextflow.Session - Session await > all processes finished -Nov-11 14:58:32.218 [Task monitor] DEBUG n.processor.TaskPollingMonitor - <<< barrier arrives (monitor: local) - terminating tasks monitor poll loop -Nov-11 14:58:32.218 [main] DEBUG nextflow.Session - Session await > all barriers passed -Nov-11 14:58:32.264 [main] DEBUG nextflow.util.ThreadPoolManager - Thread pool 'TaskFinalizer' shutdown completed (hard=false) -Nov-11 14:58:32.264 [main] DEBUG nextflow.util.ThreadPoolManager - Thread pool 'PublishDir' shutdown completed (hard=false) -Nov-11 14:58:32.296 [main] DEBUG n.trace.WorkflowStatsObserver - Workflow completed > WorkflowStats[succeededCount=2; failedCount=0; ignoredCount=0; cachedCount=0; pendingCount=0; submittedCount=0; runningCount=0; retriesCount=0; abortedCount=0; succeedDuration=8h 3m 24s; failedDuration=0ms; cachedDuration=0ms;loadCpus=0; loadMemory=0; peakRunning=1; peakCpus=6; peakMemory=30 GB; ] -Nov-11 14:58:32.296 [main] DEBUG nextflow.trace.TraceFileObserver - Workflow completed -- saving trace file -Nov-11 14:58:32.299 [main] DEBUG nextflow.trace.ReportObserver - Workflow completed -- rendering execution report -Nov-11 14:58:33.115 [main] DEBUG nextflow.trace.TimelineObserver - Workflow completed -- rendering execution timeline -Nov-11 14:58:33.498 [main] DEBUG nextflow.cache.CacheDB - Closing CacheDB done -Nov-11 14:58:33.564 [main] DEBUG nextflow.util.ThreadPoolManager - Thread pool 'FileTransfer' shutdown completed (hard=false) -Nov-11 14:58:33.565 [main] DEBUG nextflow.script.ScriptRunner - > Execution complete -- Goodbye diff --git a/.nextflow.log.6 b/.nextflow.log.6 deleted file mode 100644 index d371dbd..0000000 --- a/.nextflow.log.6 +++ /dev/null @@ -1,89 +0,0 @@ -Nov-11 13:27:16.677 [main] DEBUG nextflow.cli.Launcher - $> nextflow run main.nf -profile test_export_snp,conda -resume -Nov-11 13:27:16.987 [main] DEBUG nextflow.cli.CmdRun - N E X T F L O W ~ version 25.04.3 -Nov-11 13:27:17.111 [main] DEBUG nextflow.plugin.PluginsFacade - Setting up plugin manager > mode=prod; embedded=false; plugins-dir=/home/bruno.ariano/.nextflow/plugins; core-plugins: nf-amazon@2.15.0,nf-azure@1.16.0,nf-cloudcache@0.4.3,nf-codecommit@0.2.3,nf-console@1.2.1,nf-google@1.21.0,nf-k8s@1.0.0,nf-tower@1.11.3,nf-wave@1.12.1 -Nov-11 13:27:17.234 [main] INFO o.pf4j.DefaultPluginStatusProvider - Enabled plugins: [] -Nov-11 13:27:17.236 [main] INFO o.pf4j.DefaultPluginStatusProvider - Disabled plugins: [] -Nov-11 13:27:17.238 [main] INFO org.pf4j.DefaultPluginManager - PF4J version 3.12.0 in 'deployment' mode -Nov-11 13:27:17.273 [main] INFO org.pf4j.AbstractPluginManager - No plugins -Nov-11 13:27:17.295 [main] DEBUG nextflow.config.ConfigBuilder - Found config local: /group/soranzo/bruno.ariano/TileDB-sumstat/nextflow.config -Nov-11 13:27:17.298 [main] DEBUG nextflow.config.ConfigBuilder - Parsing config file: /group/soranzo/bruno.ariano/TileDB-sumstat/nextflow.config -Nov-11 13:27:17.399 [main] DEBUG n.secret.LocalSecretsProvider - Secrets store: /home/bruno.ariano/.nextflow/secrets/store.json -Nov-11 13:27:17.404 [main] DEBUG nextflow.secret.SecretsLoader - Discovered secrets providers: [nextflow.secret.LocalSecretsProvider@64e1dd11] - activable => nextflow.secret.LocalSecretsProvider@64e1dd11 -Nov-11 13:27:17.412 [main] DEBUG nextflow.config.ConfigBuilder - Applying config profile: `test_export_snp,conda` -Nov-11 13:27:18.409 [main] DEBUG nextflow.config.ConfigBuilder - Available config profiles: [shifter, test, mamba, test_export_snp, charliecloud, apptainer, conda, test_export_lb, singularity, wave, docker, podman] -Nov-11 13:27:18.453 [main] DEBUG nextflow.cli.CmdRun - Applied DSL=2 by global default -Nov-11 13:27:18.492 [main] DEBUG nextflow.cli.CmdRun - Launching `main.nf` [pensive_albattani] DSL2 - revision: c230c78a2a -Nov-11 13:27:18.493 [main] DEBUG nextflow.plugin.PluginsFacade - Plugins default=[] -Nov-11 13:27:18.494 [main] DEBUG nextflow.plugin.PluginsFacade - Plugins resolved requirement=[] -Nov-11 13:27:18.614 [main] DEBUG nextflow.Session - Session UUID: ffc96fd0-b329-4d33-9995-1a2245acc807 -Nov-11 13:27:18.615 [main] DEBUG nextflow.Session - Run name: pensive_albattani -Nov-11 13:27:18.615 [main] DEBUG nextflow.Session - Executor pool size: 8 -Nov-11 13:27:18.636 [main] DEBUG nextflow.file.FilePorter - File porter settings maxRetries=3; maxTransfers=50; pollTimeout=null -Nov-11 13:27:18.642 [main] DEBUG nextflow.util.ThreadPoolBuilder - Creating thread pool 'FileTransfer' minSize=10; maxSize=24; workQueue=LinkedBlockingQueue[-1]; allowCoreThreadTimeout=false -Nov-11 13:27:18.940 [main] DEBUG nextflow.cli.CmdRun - - Version: 25.04.3 build 5949 - Created: 02-06-2025 20:56 UTC (22:56 CEST) - System: Linux 4.18.0-477.13.1.el8_8.x86_64 - Runtime: Groovy 4.0.26 on OpenJDK 64-Bit Server VM 17.0.8.1+1 - Encoding: UTF-8 (UTF-8) - Process: 2574510@cnode15 [192.168.104.115] - CPUs: 8 - Mem: 60 GB (59.7 GB) - Swap: 0 (0) -Nov-11 13:27:19.000 [main] DEBUG nextflow.Session - Work-dir: /group/soranzo/bruno.ariano/TileDB-sumstat/work [nfs] -Nov-11 13:27:19.001 [main] DEBUG nextflow.Session - Script base path does not exist or is not a directory: /group/soranzo/bruno.ariano/TileDB-sumstat/bin -Nov-11 13:27:19.037 [main] DEBUG nextflow.executor.ExecutorFactory - Extension executors providers=[] -Nov-11 13:27:19.048 [main] DEBUG nextflow.Session - Observer factory: DefaultObserverFactory -Nov-11 13:27:19.072 [main] DEBUG nextflow.Session - Observer factory (v2): LinObserverFactory -Nov-11 13:27:19.098 [main] DEBUG nextflow.cache.CacheFactory - Using Nextflow cache factory: nextflow.cache.DefaultCacheFactory -Nov-11 13:27:19.111 [main] DEBUG nextflow.util.CustomThreadPool - Creating default thread pool > poolSize: 9; maxThreads: 1000 -Nov-11 13:27:19.332 [main] DEBUG nextflow.Session - Session start -Nov-11 13:27:19.336 [main] DEBUG nextflow.trace.TraceFileObserver - Workflow started -- trace file: /group/soranzo/bruno.ariano/TileDB-sumstat/results/pipeline_info/execution_trace_2025-11-11_13-27-18.txt -Nov-11 13:27:19.598 [main] DEBUG nextflow.script.ScriptRunner - > Launching execution -Nov-11 13:27:20.091 [main] DEBUG nextflow.script.ProcessConfig - Config settings `withLabel:process_multi` matches labels `process_multi` for process with name EXPORT_SNP -Nov-11 13:27:20.101 [main] DEBUG nextflow.executor.ExecutorFactory - << taskConfig executor: null -Nov-11 13:27:20.101 [main] DEBUG nextflow.executor.ExecutorFactory - >> processorType: 'local' -Nov-11 13:27:20.107 [main] DEBUG nextflow.executor.Executor - [warm up] executor > local -Nov-11 13:27:20.114 [main] DEBUG n.processor.LocalPollingMonitor - Creating local task monitor for executor 'local' > cpus=8; memory=60 GB; capacity=8; pollInterval=100ms; dumpInterval=5m -Nov-11 13:27:20.116 [main] DEBUG n.processor.TaskPollingMonitor - >>> barrier register (monitor: local) -Nov-11 13:27:20.138 [main] DEBUG nextflow.processor.TaskProcessor - Creating process 'EXPORT_SNP': maxForks=0; fair=false; array=0 -Nov-11 13:27:20.172 [main] DEBUG nextflow.Session - Workflow process names [dsl2]: EXPORT_LOCUSBREAKER, MERGE_METADATA, EXPORT_REGIONS, EXPORT_SNP, CREATE_TILEDB, INGEST_DATA -Nov-11 13:27:20.174 [main] DEBUG nextflow.Session - Igniting dataflow network (2) -Nov-11 13:27:20.179 [main] DEBUG nextflow.processor.TaskProcessor - Starting process > EXPORT_SNP -Nov-11 13:27:20.180 [main] DEBUG nextflow.script.ScriptRunner - Parsed script files: - Script_7b14281b3e71c830: /group/soranzo/bruno.ariano/TileDB-sumstat/modules/merge_metadata/main.nf - Script_f79ff21670d5e55f: /group/soranzo/bruno.ariano/TileDB-sumstat/modules/regions/main.nf - Script_fa94f925e889eb3d: /group/soranzo/bruno.ariano/TileDB-sumstat/modules/create_tiledb/main.nf - Script_407064212709c912: /group/soranzo/bruno.ariano/TileDB-sumstat/main.nf - Script_9642d9956a1c233a: /group/soranzo/bruno.ariano/TileDB-sumstat/modules/ingestion/main.nf - Script_db897bc2c0454a54: /group/soranzo/bruno.ariano/TileDB-sumstat/modules/snp/main.nf - Script_aef310e1ce2070d7: /group/soranzo/bruno.ariano/TileDB-sumstat/modules/locusbreaker/main.nf -Nov-11 13:27:20.180 [main] DEBUG nextflow.script.ScriptRunner - > Awaiting termination -Nov-11 13:27:20.180 [main] DEBUG nextflow.Session - Session await -Nov-11 13:27:20.192 [Actor Thread 6] DEBUG n.splitter.AbstractTextSplitter - Splitter `Text` collector path: nextflow.splitter.TextFileCollector$CachePath(/group/soranzo/bruno.ariano/TileDB-sumstat/work/c4/fe4f5621b081106b70422ad3063320/snps_ale.csv, null) -Nov-11 13:27:20.244 [Actor Thread 6] DEBUG nextflow.splitter.AbstractSplitter - Operator `Text` reusing cached chunks at path: /group/soranzo/bruno.ariano/TileDB-sumstat/work/c4/fe4f5621b081106b70422ad3063320/snps_ale.csv -Nov-11 13:27:20.353 [Actor Thread 7] DEBUG nextflow.conda.CondaCache - conda found local env for environment=/ssu/gassu/conda_envs/scqtl; path=/ssu/gassu/conda_envs/scqtl -Nov-11 13:27:20.425 [Actor Thread 6] INFO nextflow.processor.TaskProcessor - [28/cc4890] Cached process > EXPORT_SNP (2) -Nov-11 13:27:20.425 [Actor Thread 3] INFO nextflow.processor.TaskProcessor - [2a/fb2f83] Cached process > EXPORT_SNP (5) -Nov-11 13:27:20.461 [Actor Thread 6] DEBUG nextflow.util.ThreadPoolBuilder - Creating thread pool 'PublishDir' minSize=10; maxSize=24; workQueue=LinkedBlockingQueue[-1]; allowCoreThreadTimeout=false -Nov-11 13:27:20.468 [Task submitter] DEBUG n.executor.local.LocalTaskHandler - Launch cmd line: /bin/bash -ue .command.run -Nov-11 13:27:20.469 [Task submitter] INFO nextflow.Session - [40/910996] Submitted process > EXPORT_SNP (6) -Nov-11 13:32:20.266 [Task monitor] DEBUG n.processor.TaskPollingMonitor - !! executor local > tasks to be completed: 1 -- submitted tasks are shown below -~> TaskHandler[id: 6; name: EXPORT_SNP (6); status: RUNNING; exit: -; error: -; workDir: /group/soranzo/bruno.ariano/TileDB-sumstat/work/40/9109961d16707b319e77f3d5b79994] -Nov-11 13:32:20.590 [Task submitter] DEBUG n.processor.TaskPollingMonitor - %% executor local > tasks in the submission queue: 4 -- tasks to be submitted are shown below -~> TaskHandler[id: 7; name: EXPORT_SNP (7); status: NEW; exit: -; error: -; workDir: /group/soranzo/bruno.ariano/TileDB-sumstat/work/51/c64f01ad07f6303a8cf68ed1956971] -~> TaskHandler[id: 1; name: EXPORT_SNP (1); status: NEW; exit: -; error: -; workDir: /group/soranzo/bruno.ariano/TileDB-sumstat/work/28/91197b28b4074d0ab813ca58812f41] -~> TaskHandler[id: 3; name: EXPORT_SNP (3); status: NEW; exit: -; error: -; workDir: /group/soranzo/bruno.ariano/TileDB-sumstat/work/76/1cc25d6b0d2ed28bbc0ee62e3d0e8b] -~> TaskHandler[id: 4; name: EXPORT_SNP (4); status: NEW; exit: -; error: -; workDir: /group/soranzo/bruno.ariano/TileDB-sumstat/work/3b/9133336ea90b318aabdd0fd3f2530c] -Nov-11 13:34:46.227 [SIGINT handler] DEBUG nextflow.Session - Session aborted -- Cause: SIGINT -Nov-11 13:34:46.228 [Task monitor] DEBUG n.processor.TaskPollingMonitor - Task completed > TaskHandler[id: 6; name: EXPORT_SNP (6); status: COMPLETED; exit: 130; error: -; workDir: /group/soranzo/bruno.ariano/TileDB-sumstat/work/40/9109961d16707b319e77f3d5b79994] -Nov-11 13:34:46.229 [Task monitor] DEBUG nextflow.util.ThreadPoolBuilder - Creating thread pool 'TaskFinalizer' minSize=10; maxSize=24; workQueue=LinkedBlockingQueue[-1]; allowCoreThreadTimeout=false -Nov-11 13:34:46.231 [Task monitor] DEBUG n.processor.TaskPollingMonitor - <<< barrier arrives (monitor: local) - terminating tasks monitor poll loop -Nov-11 13:34:46.239 [TaskFinalizer-1] DEBUG nextflow.processor.TaskProcessor - Handling unexpected condition for - task: name=EXPORT_SNP (6); work-dir=/group/soranzo/bruno.ariano/TileDB-sumstat/work/40/9109961d16707b319e77f3d5b79994 - error [nextflow.exception.ProcessFailedException]: Process `EXPORT_SNP (6)` terminated with an error exit status (130) -Nov-11 13:34:46.243 [main] DEBUG nextflow.Session - Session await > all processes finished -Nov-11 13:34:46.243 [main] DEBUG nextflow.Session - Session await > all barriers passed -Nov-11 13:34:46.249 [main] DEBUG n.trace.WorkflowStatsObserver - Workflow completed > WorkflowStats[succeededCount=0; failedCount=0; ignoredCount=0; cachedCount=2; pendingCount=4; submittedCount=0; runningCount=1; retriesCount=0; abortedCount=0; succeedDuration=0ms; failedDuration=0ms; cachedDuration=3h 3m 42s;loadCpus=6; loadMemory=30 GB; peakRunning=1; peakCpus=6; peakMemory=30 GB; ] -Nov-11 13:34:46.249 [main] DEBUG nextflow.trace.TraceFileObserver - Workflow completed -- saving trace file -Nov-11 13:34:46.249 [TaskFinalizer-1] INFO nextflow.processor.TaskProcessor - [40/910996] NOTE: Process `EXPORT_SNP (6)` terminated with an error exit status (130) -- Execution is retried (1) -Nov-11 13:34:46.253 [main] DEBUG nextflow.trace.ReportObserver - Workflow completed -- rendering execution report -Nov-11 13:34:46.713 [SIGINT handler] INFO nextflow.Session - Adieu diff --git a/.nextflow.log.7 b/.nextflow.log.7 deleted file mode 100644 index 94a0979..0000000 --- a/.nextflow.log.7 +++ /dev/null @@ -1,75 +0,0 @@ -Nov-11 13:16:26.022 [main] DEBUG nextflow.cli.Launcher - $> nextflow run main.nf -profile test_export_snp,conda -resume -Nov-11 13:16:26.226 [main] DEBUG nextflow.cli.CmdRun - N E X T F L O W ~ version 25.04.3 -Nov-11 13:16:26.331 [main] DEBUG nextflow.plugin.PluginsFacade - Setting up plugin manager > mode=prod; embedded=false; plugins-dir=/home/bruno.ariano/.nextflow/plugins; core-plugins: nf-amazon@2.15.0,nf-azure@1.16.0,nf-cloudcache@0.4.3,nf-codecommit@0.2.3,nf-console@1.2.1,nf-google@1.21.0,nf-k8s@1.0.0,nf-tower@1.11.3,nf-wave@1.12.1 -Nov-11 13:16:26.365 [main] INFO o.pf4j.DefaultPluginStatusProvider - Enabled plugins: [] -Nov-11 13:16:26.366 [main] INFO o.pf4j.DefaultPluginStatusProvider - Disabled plugins: [] -Nov-11 13:16:26.369 [main] INFO org.pf4j.DefaultPluginManager - PF4J version 3.12.0 in 'deployment' mode -Nov-11 13:16:26.394 [main] INFO org.pf4j.AbstractPluginManager - No plugins -Nov-11 13:16:26.433 [main] DEBUG nextflow.config.ConfigBuilder - Found config local: /group/soranzo/bruno.ariano/TileDB-sumstat/nextflow.config -Nov-11 13:16:26.436 [main] DEBUG nextflow.config.ConfigBuilder - Parsing config file: /group/soranzo/bruno.ariano/TileDB-sumstat/nextflow.config -Nov-11 13:16:26.549 [main] DEBUG n.secret.LocalSecretsProvider - Secrets store: /home/bruno.ariano/.nextflow/secrets/store.json -Nov-11 13:16:26.553 [main] DEBUG nextflow.secret.SecretsLoader - Discovered secrets providers: [nextflow.secret.LocalSecretsProvider@64e1dd11] - activable => nextflow.secret.LocalSecretsProvider@64e1dd11 -Nov-11 13:16:26.560 [main] DEBUG nextflow.config.ConfigBuilder - Applying config profile: `test_export_snp,conda` -Nov-11 13:16:27.743 [main] DEBUG nextflow.config.ConfigBuilder - Available config profiles: [shifter, test, mamba, test_export_snp, charliecloud, apptainer, conda, test_export_lb, singularity, wave, docker, podman] -Nov-11 13:16:27.798 [main] DEBUG nextflow.cli.CmdRun - Applied DSL=2 by global default -Nov-11 13:16:27.891 [main] DEBUG nextflow.cli.CmdRun - Launching `main.nf` [admiring_shaw] DSL2 - revision: c230c78a2a -Nov-11 13:16:27.892 [main] DEBUG nextflow.plugin.PluginsFacade - Plugins default=[] -Nov-11 13:16:27.892 [main] DEBUG nextflow.plugin.PluginsFacade - Plugins resolved requirement=[] -Nov-11 13:16:28.158 [main] DEBUG nextflow.Session - Session UUID: ffc96fd0-b329-4d33-9995-1a2245acc807 -Nov-11 13:16:28.159 [main] DEBUG nextflow.Session - Run name: admiring_shaw -Nov-11 13:16:28.159 [main] DEBUG nextflow.Session - Executor pool size: 8 -Nov-11 13:16:28.180 [main] DEBUG nextflow.file.FilePorter - File porter settings maxRetries=3; maxTransfers=50; pollTimeout=null -Nov-11 13:16:28.185 [main] DEBUG nextflow.util.ThreadPoolBuilder - Creating thread pool 'FileTransfer' minSize=10; maxSize=24; workQueue=LinkedBlockingQueue[-1]; allowCoreThreadTimeout=false -Nov-11 13:16:28.224 [main] DEBUG nextflow.cli.CmdRun - - Version: 25.04.3 build 5949 - Created: 02-06-2025 20:56 UTC (22:56 CEST) - System: Linux 4.18.0-477.13.1.el8_8.x86_64 - Runtime: Groovy 4.0.26 on OpenJDK 64-Bit Server VM 17.0.8.1+1 - Encoding: UTF-8 (UTF-8) - Process: 2428349@cnode15 [192.168.104.115] - CPUs: 8 - Mem: 60 GB (59.7 GB) - Swap: 0 (0) -Nov-11 13:16:28.272 [main] DEBUG nextflow.Session - Work-dir: /group/soranzo/bruno.ariano/TileDB-sumstat/work [nfs] -Nov-11 13:16:28.273 [main] DEBUG nextflow.Session - Script base path does not exist or is not a directory: /group/soranzo/bruno.ariano/TileDB-sumstat/bin -Nov-11 13:16:28.316 [main] DEBUG nextflow.executor.ExecutorFactory - Extension executors providers=[] -Nov-11 13:16:28.327 [main] DEBUG nextflow.Session - Observer factory: DefaultObserverFactory -Nov-11 13:16:28.351 [main] DEBUG nextflow.Session - Observer factory (v2): LinObserverFactory -Nov-11 13:16:28.377 [main] DEBUG nextflow.cache.CacheFactory - Using Nextflow cache factory: nextflow.cache.DefaultCacheFactory -Nov-11 13:16:28.407 [main] DEBUG nextflow.util.CustomThreadPool - Creating default thread pool > poolSize: 9; maxThreads: 1000 -Nov-11 13:16:28.895 [main] DEBUG nextflow.Session - Session start -Nov-11 13:16:28.898 [main] DEBUG nextflow.trace.TraceFileObserver - Workflow started -- trace file: /group/soranzo/bruno.ariano/TileDB-sumstat/results/pipeline_info/execution_trace_2025-11-11_13-16-27.txt -Nov-11 13:16:29.135 [main] DEBUG nextflow.script.ScriptRunner - > Launching execution -Nov-11 13:16:29.642 [main] DEBUG nextflow.script.ProcessConfig - Config settings `withLabel:process_multi` matches labels `process_multi` for process with name EXPORT_SNP -Nov-11 13:16:29.651 [main] DEBUG nextflow.executor.ExecutorFactory - << taskConfig executor: null -Nov-11 13:16:29.652 [main] DEBUG nextflow.executor.ExecutorFactory - >> processorType: 'local' -Nov-11 13:16:29.657 [main] DEBUG nextflow.executor.Executor - [warm up] executor > local -Nov-11 13:16:29.664 [main] DEBUG n.processor.LocalPollingMonitor - Creating local task monitor for executor 'local' > cpus=8; memory=60 GB; capacity=8; pollInterval=100ms; dumpInterval=5m -Nov-11 13:16:29.667 [main] DEBUG n.processor.TaskPollingMonitor - >>> barrier register (monitor: local) -Nov-11 13:16:29.687 [main] DEBUG nextflow.processor.TaskProcessor - Creating process 'EXPORT_SNP': maxForks=0; fair=false; array=0 -Nov-11 13:16:29.716 [main] DEBUG nextflow.Session - Workflow process names [dsl2]: EXPORT_LOCUSBREAKER, MERGE_METADATA, EXPORT_REGIONS, INGEST_DATA, CREATE_TILEDB, EXPORT_SNP -Nov-11 13:16:29.718 [main] DEBUG nextflow.Session - Igniting dataflow network (2) -Nov-11 13:16:29.723 [main] DEBUG nextflow.processor.TaskProcessor - Starting process > EXPORT_SNP -Nov-11 13:16:29.724 [main] DEBUG nextflow.script.ScriptRunner - Parsed script files: - Script_7b14281b3e71c830: /group/soranzo/bruno.ariano/TileDB-sumstat/modules/merge_metadata/main.nf - Script_f79ff21670d5e55f: /group/soranzo/bruno.ariano/TileDB-sumstat/modules/regions/main.nf - Script_fa94f925e889eb3d: /group/soranzo/bruno.ariano/TileDB-sumstat/modules/create_tiledb/main.nf - Script_9642d9956a1c233a: /group/soranzo/bruno.ariano/TileDB-sumstat/modules/ingestion/main.nf - Script_407064212709c912: /group/soranzo/bruno.ariano/TileDB-sumstat/main.nf - Script_aef310e1ce2070d7: /group/soranzo/bruno.ariano/TileDB-sumstat/modules/locusbreaker/main.nf - Script_db897bc2c0454a54: /group/soranzo/bruno.ariano/TileDB-sumstat/modules/snp/main.nf -Nov-11 13:16:29.724 [main] DEBUG nextflow.script.ScriptRunner - > Awaiting termination -Nov-11 13:16:29.724 [main] DEBUG nextflow.Session - Session await -Nov-11 13:16:29.736 [Actor Thread 6] DEBUG n.splitter.AbstractTextSplitter - Splitter `Text` collector path: nextflow.splitter.TextFileCollector$CachePath(/group/soranzo/bruno.ariano/TileDB-sumstat/work/c4/fe4f5621b081106b70422ad3063320/snps_ale.csv, null) -Nov-11 13:16:29.800 [Actor Thread 6] DEBUG nextflow.splitter.AbstractSplitter - Operator `Text` reusing cached chunks at path: /group/soranzo/bruno.ariano/TileDB-sumstat/work/c4/fe4f5621b081106b70422ad3063320/snps_ale.csv -Nov-11 13:16:29.901 [Actor Thread 3] DEBUG nextflow.conda.CondaCache - conda found local env for environment=/ssu/gassu/conda_envs/scqtl; path=/ssu/gassu/conda_envs/scqtl -Nov-11 13:16:30.055 [Actor Thread 6] INFO nextflow.processor.TaskProcessor - [28/cc4890] Cached process > EXPORT_SNP (2) -Nov-11 13:16:30.076 [Actor Thread 7] INFO nextflow.processor.TaskProcessor - [2a/fb2f83] Cached process > EXPORT_SNP (5) -Nov-11 13:16:30.098 [Task submitter] DEBUG n.executor.local.LocalTaskHandler - Launch cmd line: /bin/bash -ue .command.run -Nov-11 13:16:30.100 [Actor Thread 6] DEBUG nextflow.util.ThreadPoolBuilder - Creating thread pool 'PublishDir' minSize=10; maxSize=24; workQueue=LinkedBlockingQueue[-1]; allowCoreThreadTimeout=false -Nov-11 13:16:30.100 [Task submitter] INFO nextflow.Session - [00/b64698] Submitted process > EXPORT_SNP (3) -Nov-11 13:21:29.819 [Task monitor] DEBUG n.processor.TaskPollingMonitor - !! executor local > tasks to be completed: 1 -- submitted tasks are shown below -~> TaskHandler[id: 3; name: EXPORT_SNP (3); status: RUNNING; exit: -; error: -; workDir: /group/soranzo/bruno.ariano/TileDB-sumstat/work/00/b6469894f279b0eba987b38017eb23] -Nov-11 13:21:30.238 [Task submitter] DEBUG n.processor.TaskPollingMonitor - %% executor local > tasks in the submission queue: 4 -- tasks to be submitted are shown below -~> TaskHandler[id: 4; name: EXPORT_SNP (4); status: NEW; exit: -; error: -; workDir: /group/soranzo/bruno.ariano/TileDB-sumstat/work/5d/62e7e0f3e21fd18eb03858c7c87bf9] -~> TaskHandler[id: 7; name: EXPORT_SNP (7); status: NEW; exit: -; error: -; workDir: /group/soranzo/bruno.ariano/TileDB-sumstat/work/d0/5071def684c972656ceb87f3c77f56] -~> TaskHandler[id: 1; name: EXPORT_SNP (1); status: NEW; exit: -; error: -; workDir: /group/soranzo/bruno.ariano/TileDB-sumstat/work/25/59fb19a8f3479956966d52e8a4d231] -~> TaskHandler[id: 6; name: EXPORT_SNP (6); status: NEW; exit: -; error: -; workDir: /group/soranzo/bruno.ariano/TileDB-sumstat/work/96/7145f235389933ba497de959a10ce3] diff --git 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zcmdT^O^6&t6yDcmlnDj|kw8uj<`BW@p5ES`=?z{sx*?0}x|$J$Jv7zb)w`AL?&?%k zZ+3H91oh-W@#I+q1%p2jLGThHc+?dX!KfQDW-uni?3hHoHu*Tv)zG(sK}&8t`S z>b>`U{r&v$qhIg74`5_q)fXOmZRe|VCpK13e)ii3uh+aM-njMvj2xj$)G9SktqCdV z$~0F!AOLfx;IAEjk52P^k;R9oT6l(DhCKu{Rf_>X2avO6ouuNJRY(yrrG&KF7@Il= z_Y+W>>T-j?!HKEq$h4LArYzE23NomjM1E?D~hW!=h{wEn#WA4{jSxpJ|sZ3W?3;PE|R?H5m+ZX zO*9o9)v3vr3n6voqt)vwFHBrP%9XZUD^g2?2!=3|G$#%|KC`)lD6lxJ7gR5pHgHyR%$aI|D)2VaSba>IBK zfn=GGf7DjdE+a2vt}b9y^Q==_?Vj0%Ov$g}29r|AfL8ckLb6TGOdb9LlZdQHneNoy z>iyE^Ph4Ubc%*jv6+%EVn)WmO`Z9VsMwS>dy7u0weE{$s+@Ah;yg#FWBR8%Sc*(`J zcLx@TSgStRfue>cf!mw6lK4V+|wQbCaaeY+((e-6BRP92hR75YL8y`xnbMhj~ga(n%Yca5KkAq?qPBFVKi^)l1(oHLKpxZ`wz1K diff --git a/.nextflow/history b/.nextflow/history deleted file mode 100644 index e959da8..0000000 --- a/.nextflow/history +++ /dev/null @@ -1,16 +0,0 @@ -2025-10-28 13:37:06 - stupefied_bose - 1646f03038f9111f6a6f7f5d9ef02374 92a30133-6a00-4323-94ec-13cb8047aa29 nextflow run main.nf -profile conda,test_export_snp -2025-10-28 13:37:45 - spontaneous_allen - c230c78a2a5b5bdedf08d1cc342ac5db 7750e903-41ee-4606-9d5c-785b04dcf759 nextflow run main.nf -profile conda,test_export_snp -2025-10-28 13:42:15 1m 5s zen_laplace ERR c230c78a2a5b5bdedf08d1cc342ac5db 3e02481f-61d4-46f8-8bcd-b9554723b48b nextflow run main.nf -profile conda,test_export_snp -2025-10-28 13:45:10 57.5s focused_lumiere ERR c230c78a2a5b5bdedf08d1cc342ac5db 0bafcf9f-da31-4136-9763-e2cebd5a7132 nextflow run main.nf -profile conda,test_export_snp -2025-10-28 13:48:35 51s lethal_noether ERR c230c78a2a5b5bdedf08d1cc342ac5db 983e6a48-de9a-4766-a476-52ef0a627a8b nextflow run main.nf -profile conda,test_export_snp -2025-10-28 14:17:38 - goofy_torricelli - c230c78a2a5b5bdedf08d1cc342ac5db 476b79de-0b73-43aa-a89c-08bb779c035a nextflow run main.nf -profile conda,test_export_snp -2025-10-28 15:52:28 14m 43s intergalactic_almeida OK c230c78a2a5b5bdedf08d1cc342ac5db 476b79de-0b73-43aa-a89c-08bb779c035a nextflow run main.nf -profile conda,test_export_snp -resume -2025-11-11 11:58:37 - hopeful_turing - c230c78a2a5b5bdedf08d1cc342ac5db ffc96fd0-b329-4d33-9995-1a2245acc807 nextflow run main.nf -profile test_export_snp,conda -2025-11-11 13:16:28 - admiring_shaw - c230c78a2a5b5bdedf08d1cc342ac5db ffc96fd0-b329-4d33-9995-1a2245acc807 nextflow run main.nf -profile test_export_snp,conda -resume -2025-11-11 13:27:18 - pensive_albattani - c230c78a2a5b5bdedf08d1cc342ac5db ffc96fd0-b329-4d33-9995-1a2245acc807 nextflow run main.nf -profile test_export_snp,conda -resume -2025-11-11 13:37:46 1h 20m 48s magical_chandrasekhar OK c230c78a2a5b5bdedf08d1cc342ac5db 152176fb-984a-4b34-9930-16352766f3e6 nextflow run main.nf -profile test_export_snp,conda -2025-11-11 19:36:38 1m 1s distraught_cori ERR c230c78a2a5b5bdedf08d1cc342ac5db 369a006d-df35-43c4-af49-340766553168 nextflow run main.nf -profile test_export_snp,conda -2025-11-11 19:40:03 - drunk_stonebraker - c230c78a2a5b5bdedf08d1cc342ac5db fa42aa65-847f-4cb7-9022-43bfecc43e49 nextflow run main.nf -profile test_export_snp,conda -2025-11-11 19:41:12 3.1s infallible_solvay ERR c230c78a2a5b5bdedf08d1cc342ac5db df48cfc6-4d7f-40a3-8a61-15ab9aff4c98 nextflow run main.nf -profile test_export_snp,slurm_conda -2025-11-11 19:44:17 3m 47s distracted_ekeblad ERR c230c78a2a5b5bdedf08d1cc342ac5db ed068041-b1db-4f82-afa6-47c6950cf200 nextflow run main.nf -profile test_export_snp,slurm_conda -2025-11-11 19:48:46 24m 43s amazing_almeida OK c230c78a2a5b5bdedf08d1cc342ac5db afe12e5c-4035-4ddd-a6c8-6e2cb8c68e2c nextflow run main.nf -profile test_export_snp,slurm_conda diff --git a/out.csv b/out.csv deleted file mode 100644 index 3287644..0000000 --- a/out.csv +++ /dev/null @@ -1 +0,0 @@ -CHR,POS,SNPID,BETA,SE,TRAIT diff --git a/snps_ale_celltypes.csv b/snps_ale_celltypes.csv deleted file mode 100644 index a0a19bc..0000000 --- a/snps_ale_celltypes.csv +++ /dev/null @@ -1,1797 +0,0 @@ -CHR,POS.BETA,SE,TRAITID -9,17309338,-0.04074478,0.027077973,Monocyte_CD14:ENSG00000044459 -9,370199,-0.2156946,0.107817605,Monocyte_CD14:ENSG00000107099 -9,124349748,0.37466994,0.063849784,Monocyte_CD14:ENSG00000119408 -9,100236669,0.18573464,0.026990699,Monocyte_CD14:ENSG00000119509 -9,86029143,0.00869019,0.284045,Monocyte_CD14:ENSG00000135052 -9,36309848,0.024887362,0.27913117,Monocyte_CD14:ENSG00000137075 -9,36170124,0.14920989,0.15921931,Monocyte_CD14:ENSG00000159921 -9,112487458,0.37593395,0.1891759,Monocyte_CD14:ENSG00000165185 -9,128350974,0.12622054,0.03306251,Monocyte_CD14:ENSG00000167118 -9,126788624,-0.6073816,0.26285037,Monocyte_CD14:ENSG00000169155 -9,174812,0.09649472,0.1614052,Monocyte_CD14:ENSG00000172785 -9,137552354,0.3849089,0.10350048,Monocyte_CD14:ENSG00000182154 -9,134402184,-0.051268637,0.020092182,Monocyte_CD14:ENSG00000186350 -9,34124862,-0.07702855,0.20374845,Monocyte_CD14:ENSG00000198876 -9,34249206,-0.03482081,0.25481483,Monocyte_CD14:ENSG00000198876 -9,3508131,-0.14763942,0.091484375,Monocyte_CD14:ENSG00000237359 -19,33032291,-0.12846418,0.048961,Monocyte_CD14:ENSG00000076650 -19,42272428,0.11510216,0.045814566,Monocyte_CD14:ENSG00000079462 -19,36856082,-0.1947763,0.031008964,Monocyte_CD14:ENSG00000232677 -12,16353753,0.0041427044,0.062906295,Monocyte_CD14:ENSG00000008394 -12,6792800,-0.41845,0.32962295,Monocyte_CD14:ENSG00000010610 -12,50222563,-0.31290653,0.28995246,Monocyte_CD14:ENSG00000050405 -12,8047464,-0.20297495,0.2319635,Monocyte_CD14:ENSG00000059804 -12,55169009,-0.28279176,0.14076108,Monocyte_CD14:ENSG00000065361 -12,132838535,-0.14274791,0.024680592,Monocyte_CD14:ENSG00000072609 -12,1612088,0.03512137,0.05357141,Monocyte_CD14:ENSG00000111186 -12,14920758,-0.08966204,0.013334312,Monocyte_CD14:ENSG00000111348 -12,14560010,0.07353338,0.062013578,Monocyte_CD14:ENSG00000121316 -12,49606604,-0.25217322,0.15188922,Monocyte_CD14:ENSG00000139644 -12,40250950,0.12432807,0.08460623,Monocyte_CD14:ENSG00000151229 -12,132111598,0.567238,0.118180275,Monocyte_CD14:ENSG00000185163 -12,50924640,-0.2516818,0.07947027,Monocyte_CD14:ENSG00000185432 -12,25168971,-0.048012517,0.09239559,Monocyte_CD14:ENSG00000205707 -12,7109428,0.7041923,0.18481193,Monocyte_CD14:ENSG00000205885 -12,9962215,0.3409119,0.16617636,Monocyte_CD14:ENSG00000225231 -12,68458474,0.1611893,0.03395351,Monocyte_CD14:ENSG00000251301 -12,41937887,-0.5098099,0.23064438,Monocyte_CD14:ENSG00000257239 -12,31730365,0.025108935,0.1651662,Monocyte_CD14:ENSG00000276900 -14,92106583,0.33199024,0.031382572,Monocyte_CD14:ENSG00000066427 -14,59971375,0.17733373,0.023731628,Monocyte_CD14:ENSG00000100612 -14,20415790,0.20257743,0.024855278,Monocyte_CD14:ENSG00000100823 -14,34929829,-0.17971006,0.019776514,Monocyte_CD14:ENSG00000100883 -14,55706570,-0.22419286,0.028889911,Monocyte_CD14:ENSG00000126777 -14,63584662,-0.2982824,0.062619716,Monocyte_CD14:ENSG00000126821 -14,58254144,0.2517346,0.0327676,Monocyte_CD14:ENSG00000257621 -14,56118086,-0.36572063,0.12256195,Monocyte_CD14:ENSG00000277763 -8,86365089,-0.21490742,0.018892607,Monocyte_CD14:ENSG00000085719 -8,143026785,-0.4782404,0.027305089,Monocyte_CD14:ENSG00000160932 -8,143029210,-0.19412038,0.1300673,Monocyte_CD14:ENSG00000160932 -8,144393382,-0.23645438,0.016806832,Monocyte_CD14:ENSG00000160948 -8,38978487,0.10105907,0.01799956,Monocyte_CD14:ENSG00000169499 -8,143952414,-0.17272606,0.017160859,Monocyte_CD14:ENSG00000178685 -8,143659008,0.136599,0.025687777,Monocyte_CD14:ENSG00000181135 -8,118013363,0.02748587,0.019569289,Monocyte_CD14:ENSG00000182197 -8,17886518,-0.51455545,0.062662505,Monocyte_CD14:ENSG00000254054 -8,50848927,0.0041410537,0.027339702,Monocyte_CD14:ENSG00000272076 -10,16960760,-0.2687454,0.010553721,Monocyte_CD14:ENSG00000026025 -10,67905202,0.22451085,0.25207752,Monocyte_CD14:ENSG00000096717 -10,119100747,1.4812884,0.13856363,Monocyte_CD14:ENSG00000119979 -10,13113726,0.3274008,0.015349683,Monocyte_CD14:ENSG00000123240 -10,63153076,0.089923844,0.16235821,Monocyte_CD14:ENSG00000148572 -10,14974210,0.81510264,0.21614349,Monocyte_CD14:ENSG00000152457 -10,70355549,-0.57940304,0.10730965,Monocyte_CD14:ENSG00000180817 -10,133308228,0.08657126,0.027067076,Monocyte_CD14:ENSG00000198546 -10,50502708,-0.16098422,0.15484254,Monocyte_CD14:ENSG00000198964 -10,110947345,0.10978063,0.024242023,Monocyte_CD14:ENSG00000214413 -10,73099594,-0.21588255,0.042805593,Monocyte_CD14:ENSG00000272630 -16,15013688,-0.10084653,0.032155883,Monocyte_CD14:ENSG00000085721 -16,85317729,-0.009818646,0.04088042,Monocyte_CD14:ENSG00000131143 -16,85795459,-0.07287204,0.009936296,Monocyte_CD14:ENSG00000131143 -16,17889090,0.016728157,0.023299534,Monocyte_CD14:ENSG00000134419 -16,19120113,0.27936125,0.040655762,Monocyte_CD14:ENSG00000205730 -16,66604051,-0.056397643,0.023543797,Monocyte_CD14:ENSG00000217555 -16,15171590,-0.17891838,0.052662633,Monocyte_CD14:ENSG00000257391 -16,19112266,-0.2770705,0.21992692,Monocyte_CD14:ENSG00000261759 -16,66236715,0.012664946,0.031851515,Monocyte_CD14:ENSG00000277978 -7,26012045,-0.54459995,0.03837765,Monocyte_CD14:ENSG00000050344 -7,26322744,0.4910642,0.08653706,Monocyte_CD14:ENSG00000086300 -7,2513589,0.289741,0.14622204,Monocyte_CD14:ENSG00000106009 -7,99409582,-0.15180764,0.06508325,Monocyte_CD14:ENSG00000106245 -7,150571010,-0.102485426,0.017573169,Monocyte_CD14:ENSG00000133574 -7,100815804,-0.8048675,0.1688794,Monocyte_CD14:ENSG00000196411 -7,128525197,0.17038587,0.026511852,Monocyte_CD14:ENSG00000271553 -7,16502495,0.04236082,0.0494945,Monocyte_CD14:ENSG00000272361 -7,102748026,-0.15423115,0.02492313,Monocyte_CD14:ENSG00000285437 -3,32552975,-0.18858646,0.044234704,Monocyte_CD14:ENSG00000091317 -3,133666092,-0.14084901,0.016724478,Monocyte_CD14:ENSG00000091527 -3,179148348,0.24216561,0.10197944,Monocyte_CD14:ENSG00000121879 -3,101716562,0.17642628,0.022294652,Monocyte_CD14:ENSG00000138468 -3,46136372,-0.05492617,0.033206668,Monocyte_CD14:ENSG00000160791 -3,134102246,0.23500332,0.09148444,Monocyte_CD14:ENSG00000163785 -3,45972340,-0.00769395,0.025985513,Monocyte_CD14:ENSG00000163823 -3,136940999,-0.087773606,0.03377414,Monocyte_CD14:ENSG00000273486 -1,218350962,-0.072042465,0.249683,Monocyte_CD14:ENSG00000067533 -1,74738117,-0.17886655,0.20588772,Monocyte_CD14:ENSG00000116791 -1,119935662,-0.28722006,0.06427652,Monocyte_CD14:ENSG00000134250 -1,184973795,0.18310751,0.20082062,Monocyte_CD14:ENSG00000135842 -1,168142257,0.20691696,0.036337525,Monocyte_CD14:ENSG00000143147 -1,149813197,-0.08871851,0.29806337,Monocyte_CD14:ENSG00000150337 -1,159925320,-0.10761301,0.03994917,Monocyte_CD14:ENSG00000158710 -1,160994513,0.032787554,0.08926544,Monocyte_CD14:ENSG00000158769 -1,64875884,0.1535785,0.32042038,Monocyte_CD14:ENSG00000162437 -1,160324899,0.0696917,0.09587949,Monocyte_CD14:ENSG00000162736 -1,9122624,0.6137309,0.32112792,Monocyte_CD14:ENSG00000180758 -1,168242996,-0.103514425,0.16057791,Monocyte_CD14:ENSG00000213064 -1,109676500,-0.4480004,0.058495484,Monocyte_CD14:ENSG00000213366 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-20,60055635,0.35483468,0.29464114,cDC2:ENSG00000176659 -8,67352144,-0.18914303,0.19957961,cDC2:ENSG00000178460 -5,50275311,-0.042196102,0.11872428,cDC2:ENSG00000170571 -13,100590907,-0.120933294,0.15352677,T_CD4_EM:ENSG00000134864 -13,52474475,0.15029484,0.069529705,T_CD4_EM:ENSG00000136098 -13,32803480,-0.033200942,0.024057798,T_CD4_EM:ENSG00000244754 -13,74213100,0.107436955,0.031532776,T_CD4_EM:ENSG00000286330 -10,33032499,0.2085729,0.07531797,T_CD4_EM:ENSG00000150093 -10,32468248,-0.14990228,0.028717501,T_CD4_EM:ENSG00000216937 -10,87402003,0.11339908,0.3489108,T_CD4_EM:ENSG00000223482 -5,131161512,0.1294257,0.0168247,T_CD4_EM:ENSG00000169567 -5,50755486,-0.17466432,0.024643788,T_CD4_EM:ENSG00000170571 -5,151787203,-0.07556989,0.024754018,T_CD4_EM:ENSG00000177556 -6,57194335,-0.8967093,0.22271945,T_CD4_EM:ENSG00000112208 -12,50179717,-0.22168778,0.12071628,T_CD4_EM:ENSG00000050405 -12,12557644,-0.099133566,0.07802717,T_CD4_EM:ENSG00000111266 -12,56471256,-0.77729195,0.35946086,T_CD4_EM:ENSG00000111602 -12,49125402,-0.17583193,0.20185377,T_CD4_EM:ENSG00000123416 -12,57803019,0.26139766,0.12636891,T_CD4_EM:ENSG00000123427 -12,69375495,-0.15726463,0.057525385,T_CD4_EM:ENSG00000127337 -12,92434493,-0.19129954,0.041041154,T_CD4_EM:ENSG00000133639 -12,75517538,-0.18207258,0.32658368,T_CD4_EM:ENSG00000139278 -12,46355182,0.841903,0.3196649,T_CD4_EM:ENSG00000257261 -12,47683658,-0.17198858,0.17803003,T_CD4_EM:ENSG00000257433 -21,33411216,-0.22142762,0.10042217,T_CD4_EM:ENSG00000142166 -21,38264500,0.068376124,0.10499703,T_CD4_EM:ENSG00000157557 -21,44835859,1.2462403,0.36699945,T_CD4_EM:ENSG00000183255 -21,38613300,0.22090071,0.43642256,T_CD4_EM:ENSG00000237373 -9,37491722,0.07693024,0.052864462,T_CD4_EM:ENSG00000137054 -9,20890317,-0.05853011,0.12115393,T_CD4_EM:ENSG00000188921 -9,90915059,-0.060646273,0.10587819,T_CD4_EM:ENSG00000273381 -18,46734110,0.023519427,0.09210592,T_CD4_EM:ENSG00000152234 -7,105422791,0.15933554,0.090581894,T_CD4_EM:ENSG00000005483 -7,73718970,-0.056266986,0.1417261,T_CD4_EM:ENSG00000071462 -7,99418213,-0.11363143,0.077038094,T_CD4_EM:ENSG00000106245 -7,66738014,0.0768336,0.023578664,T_CD4_EM:ENSG00000126522 -8,100340407,0.045507424,0.16618253,T_CD4_EM:ENSG00000164919 -8,71850832,-0.12440418,0.022618799,T_CD4_EM:ENSG00000235531 -19,10416990,0.08823872,0.070482,T_CD4_EM:ENSG00000076662 -19,48113401,0.2712591,0.07800877,T_CD4_EM:ENSG00000105499 -19,3609378,-0.03609902,0.021174422,T_CD4_EM:ENSG00000126934 -19,54103097,-0.18591318,0.01683567,T_CD4_EM:ENSG00000170906 -1,165692371,0.25790843,0.050711192,T_CD4_EM:ENSG00000143149 -1,151995360,-0.050611313,0.039848045,T_CD4_EM:ENSG00000197747 -1,35058680,0.17257029,0.060734045,T_CD4_EM:ENSG00000243749 -11,61813163,-0.10577099,0.014097662,T_CD4_EM:ENSG00000167996 -11,74412787,-0.018365089,0.027797319,T_CD4_EM:ENSG00000175581 -14,102047890,-0.22145194,0.02506072,T_CD4_EM:ENSG00000080824 -14,67391271,-0.23340984,0.09176306,T_CD4_EM:ENSG00000100554 -14,56655004,0.022133011,0.07792867,T_CD4_EM:ENSG00000139946 -3,48811703,0.15912886,0.049397368,T_CD4_EM:ENSG00000068745 -3,49520424,0.11731224,0.044947904,T_CD4_EM:ENSG00000068745 -3,134160803,-0.24587554,0.1017146,T_CD4_EM:ENSG00000163785 -17,17186785,-0.22151008,0.05118144,T_CD4_EM:ENSG00000133030 -17,29078147,-0.044406995,0.024042867,T_CD4_EM:ENSG00000264577 -20,61922523,-0.030080648,0.044095762,T_CD4_EM:ENSG00000101181 -20,32706978,-0.14257462,0.030007113,T_CD4_EM:ENSG00000149600 -20,62415019,0.039882563,0.007109984,T_CD4_EM:ENSG00000171858 -2,195782064,-0.0741954,0.022361865,T_CD4_EM:ENSG00000081320 -2,7454385,-0.13856436,0.019267138,T_CD4_EM:ENSG00000235576 -4,39546748,0.051644634,0.030835155,T_CD4_EM:ENSG00000109814 -4,38948910,-0.5880305,0.07786813,T_CD4_EM:ENSG00000121895 -15,28236050,0.17394018,0.05101677,T_CD4_EM:ENSG00000128731 -15,62060644,0.12592776,0.020459162,T_CD4_EM:ENSG00000129003 -13,40994736,-0.70419604,0.20800167,Monocyte_CD16:ENSG00000120690 -13,25340713,0.33518246,0.15224281,Monocyte_CD16:ENSG00000139496 -13,49804778,0.02131964,0.13438864,Monocyte_CD16:ENSG00000152213 -13,114060158,0.0642688,0.038281657,Monocyte_CD16:ENSG00000185989 -13,50670025,0.007901411,0.15721163,Monocyte_CD16:ENSG00000204977 -13,40412908,-0.30808094,0.30177066,Monocyte_CD16:ENSG00000215483 -5,140861442,-0.06911739,0.020812213,Monocyte_CD16:ENSG00000146007 -5,36807454,0.0042731212,0.025729671,Monocyte_CD16:ENSG00000164190 -5,181291831,0.10251838,0.030466879,Monocyte_CD16:ENSG00000204628 -5,112191771,-0.3349495,0.16567495,Monocyte_CD16:ENSG00000224032 -5,78471313,-0.14934985,0.05539316,Monocyte_CD16:ENSG00000245556 -6,110477288,0.12380011,0.034480777,Monocyte_CD16:ENSG00000004809 -6,170536845,0.117849275,0.016502507,Monocyte_CD16:ENSG00000008018 -6,83127322,0.68319404,0.3086137,Monocyte_CD16:ENSG00000013392 -6,3294692,-0.09533431,0.10017259,Monocyte_CD16:ENSG00000137266 -6,111272853,0.102823034,0.027164819,Monocyte_CD16:ENSG00000173214 -6,149845687,-0.5627166,0.15068369,Monocyte_CD16:ENSG00000273132 -20,63535329,0.06585794,0.04909311,Monocyte_CD16:ENSG00000101213 -20,374630,0.63411653,0.16861373,Monocyte_CD16:ENSG00000101255 -20,63503252,0.85883784,0.24383433,Monocyte_CD16:ENSG00000125534 -2,177609808,0.16161047,0.04274093,Monocyte_CD16:ENSG00000018510 -2,100545642,-0.026196472,0.032867115,Monocyte_CD16:ENSG00000115539 -2,178160348,0.008303476,0.06495969,Monocyte_CD16:ENSG00000180228 -9,32998239,0.15695944,0.16573283,Monocyte_CD16:ENSG00000086061 -9,32575647,-0.031794604,0.1477348,Monocyte_CD16:ENSG00000107201 -9,129852798,-0.09829185,0.021979373,Monocyte_CD16:ENSG00000136827 -9,4741883,0.107832395,0.14423205,Monocyte_CD16:ENSG00000147853 -9,27558240,-0.19481163,0.053150214,Monocyte_CD16:ENSG00000147894 -9,136382223,0.27133247,0.063517176,Monocyte_CD16:ENSG00000213221 -9,33662595,0.11494017,0.21577801,Monocyte_CD16:ENSG00000281128 -14,65107059,0.24805751,0.05683966,Monocyte_CD16:ENSG00000125952 -14,20980390,0.40424034,0.08148844,Monocyte_CD16:ENSG00000165792 -14,103501483,-0.08060955,0.022969434,Monocyte_CD16:ENSG00000166166 -14,104201850,0.07629761,0.055619128,Monocyte_CD16:ENSG00000166166 -14,58215977,0.1585583,0.035237316,Monocyte_CD16:ENSG00000257621 -14,56109811,0.18890166,0.035227027,Monocyte_CD16:ENSG00000277763 -22,50535388,-0.1021279,0.024709668,Monocyte_CD16:ENSG00000025708 -22,20849722,0.59923714,0.12690711,Monocyte_CD16:ENSG00000099940 -22,37268582,-0.07441698,0.01657086,Monocyte_CD16:ENSG00000100055 -22,41412346,0.12864813,0.025346717,Monocyte_CD16:ENSG00000100410 -22,41457924,0.08831624,0.028147528,Monocyte_CD16:ENSG00000167074 -22,44684021,-0.28939253,0.040733106,Monocyte_CD16:ENSG00000186654 -22,45163528,0.46502322,0.2212362,Monocyte_CD16:ENSG00000226328 -22,42428252,-0.15911125,0.035619706,Monocyte_CD16:ENSG00000235568 -12,6792800,0.67526126,0.35799792,Monocyte_CD16:ENSG00000010610 -12,80944970,0.3473567,0.2720933,Monocyte_CD16:ENSG00000111052 -12,96032937,-0.14835072,0.20421255,Monocyte_CD16:ENSG00000111145 -12,8980660,-0.5311643,0.27593428,Monocyte_CD16:ENSG00000111752 -12,70247362,0.545595,0.22815727,Monocyte_CD16:ENSG00000135643 -12,75484279,0.16475765,0.1336933,Monocyte_CD16:ENSG00000139278 -12,110006745,0.16258503,0.04209082,Monocyte_CD16:ENSG00000139433 -12,50205926,0.1376534,0.021280685,Monocyte_CD16:ENSG00000178449 -12,50924640,-0.40930158,0.08737535,Monocyte_CD16:ENSG00000185432 -18,12327753,0.008082376,0.026536468,Monocyte_CD16:ENSG00000085415 -18,2928383,-0.086290374,0.027910855,Monocyte_CD16:ENSG00000132205 -18,35939480,0.09374413,0.0328957,Monocyte_CD16:ENSG00000141428 -18,24484864,0.41045147,0.04927217,Monocyte_CD16:ENSG00000141447 -19,14971976,0.0053166063,0.049400516,Monocyte_CD16:ENSG00000132002 -19,20286746,-0.09118427,0.02908744,Monocyte_CD16:ENSG00000197124 -19,39967805,-0.26708183,0.047143627,Monocyte_CD16:ENSG00000197782 -19,9595679,0.27650762,0.036706015,Monocyte_CD16:ENSG00000197961 -21,42833834,-0.0015126871,0.020825181,Monocyte_CD16:ENSG00000160201 -21,43684430,0.8876865,0.41160935,Monocyte_CD16:ENSG00000160201 -21,43791595,-0.11177016,0.016684268,Monocyte_CD16:ENSG00000160213 -21,43830276,-0.066436395,0.034316007,Monocyte_CD16:ENSG00000160214 -21,43983133,0.52022606,0.23038584,Monocyte_CD16:ENSG00000160216 -21,37501669,0.0058422424,0.022789398,Monocyte_CD16:ENSG00000272948 -3,149716148,-0.18920657,0.250037,Monocyte_CD16:ENSG00000114744 -3,121875676,0.16993335,0.05602317,Monocyte_CD16:ENSG00000180353 -3,153154958,0.2077392,0.09601244,Monocyte_CD16:ENSG00000181467 -16,67136219,-0.100699775,0.060986735,Monocyte_CD16:ENSG00000159714 -16,88505611,0.14467512,0.0775345,Monocyte_CD16:ENSG00000179588 -16,28934248,0.06108427,0.11499053,Monocyte_CD16:ENSG00000260853 -8,26441046,-0.23972797,0.06361007,Monocyte_CD16:ENSG00000104765 -8,102621805,-0.08419043,0.0165773,Monocyte_CD16:ENSG00000155090 -8,85438822,-0.07754836,0.020915555,Monocyte_CD16:ENSG00000176731 -8,99966377,0.061101418,0.053659108,Monocyte_CD16:ENSG00000186106 -7,99387512,-0.15491562,0.067317136,Monocyte_CD16:ENSG00000106245 -7,158806292,-0.31535015,0.044386353,Monocyte_CD16:ENSG00000117868 -7,167778,0.13745098,0.044973087,Monocyte_CD16:ENSG00000177706 -7,31009025,0.03633108,0.03006127,Monocyte_CD16:ENSG00000180354 -7,150615924,-0.0017888922,0.22106855,Monocyte_CD16:ENSG00000213203 -7,136239495,0.16798814,0.05174622,Monocyte_CD16:ENSG00000232053 -1,160737614,0.12276686,0.14335515,Monocyte_CD16:ENSG00000026751 -1,205687455,-0.4815502,0.359082,Monocyte_CD16:ENSG00000117280 -1,185212015,0.27846107,0.1417682,Monocyte_CD16:ENSG00000121486 -1,27397065,0.31035104,0.26354596,Monocyte_CD16:ENSG00000158195 -1,203290045,0.044843487,0.037872907,Monocyte_CD16:ENSG00000159388 -1,1533178,-0.44613174,0.07468967,Monocyte_CD16:ENSG00000160075 -1,89106332,0.019418264,0.095281266,Monocyte_CD16:ENSG00000162645 -1,155755107,-0.051599365,0.25902277,Monocyte_CD16:ENSG00000163374 -1,156278116,0.15596998,0.110134386,Monocyte_CD16:ENSG00000163374 -1,9661053,0.19533943,0.024628222,Monocyte_CD16:ENSG00000171608 -1,207335147,-0.31184062,0.12951858,Monocyte_CD16:ENSG00000196352 -1,85276238,-0.21512686,0.1771991,Monocyte_CD16:ENSG00000223653 -1,93446733,0.17283458,0.3030014,Monocyte_CD16:ENSG00000223745 -4,106122738,0.04825204,0.025968598,Monocyte_CD16:ENSG00000164022 -4,11201990,-0.020882133,0.052218102,Monocyte_CD16:ENSG00000178163 -15,28214998,-0.16739625,0.046425812,Monocyte_CD16:ENSG00000128731 -15,67024729,-0.3014184,0.030274794,Monocyte_CD16:ENSG00000166949 -15,23500527,-0.042817175,0.09893737,Monocyte_CD16:ENSG00000179455 -15,41328997,0.34252074,0.09898124,Monocyte_CD16:ENSG00000247556 -15,67755003,0.16358444,0.03125539,Monocyte_CD16:ENSG00000259673 -10,60034037,0.04181592,0.29377398,Monocyte_CD16:ENSG00000108091 -10,110389235,-0.16779846,0.018615691,Monocyte_CD16:ENSG00000138166 -10,117366815,0.06879136,0.028045386,Monocyte_CD16:ENSG00000165650 -10,49893756,-0.047664292,0.20496076,Monocyte_CD16:ENSG00000285803 -17,5431530,-0.041268013,0.031637557,Monocyte_CD16:ENSG00000108523 -17,63955441,-0.42289546,0.2704462,Monocyte_CD16:ENSG00000136490 -17,7926499,0.06154385,0.21476169,Monocyte_CD16:ENSG00000170043 -17,75273958,0.16518436,0.026482103,Monocyte_CD16:ENSG00000177885 -17,81511844,-0.09792375,0.012979785,Monocyte_CD16:ENSG00000184009 -17,56844665,0.15188111,0.023474718,Monocyte_CD16:ENSG00000214226 -17,19253591,0.10406418,0.062201906,Monocyte_CD16:ENSG00000262202 -11,1871332,-1.0017104,0.07509511,Monocyte_CD16:ENSG00000130592 -11,47353360,-0.2547024,0.07489007,Monocyte_CD16:ENSG00000134571 -11,69053101,0.47564685,0.13639125,Monocyte_CD16:ENSG00000162341 -15,49414270,0.1269381,0.022033634,T_CD4_CM:ENSG00000156958 -15,64260008,-0.111910835,0.033255424,T_CD4_CM:ENSG00000166803 -8,119779483,0.05390961,0.09618281,T_CD4_CM:ENSG00000136982 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-6,109409343,0.2433848,0.06025331,NK_CD16:ENSG00000112365 -6,72579076,-0.109923504,0.13278036,NK_CD16:ENSG00000156508 -6,41793723,-0.03425314,0.06269956,NK_CD16:ENSG00000214736 -6,168980187,-0.0076881014,0.0375239,NK_CD16:ENSG00000234519 -6,28018052,0.11840577,0.035528973,NK_CD16:ENSG00000272009 -6,26211949,-0.06329727,0.01751702,NK_CD16:ENSG00000277224 -6,89125251,0.26833725,0.330697,NK_CD16:ENSG00000288009 -22,20861482,0.40028083,0.26244068,NK_CD16:ENSG00000099940 -22,29567397,0.5055569,0.2505713,NK_CD16:ENSG00000100003 -22,19247840,-0.23028895,0.34262273,NK_CD16:ENSG00000100075 -22,37612737,0.6249421,0.06934125,NK_CD16:ENSG00000100092 -22,37675413,-0.6639922,0.05889381,NK_CD16:ENSG00000100097 -22,39206033,0.12544754,0.02165968,NK_CD16:ENSG00000100311 -22,41539281,-0.11053419,0.026294148,NK_CD16:ENSG00000100418 -22,50315773,0.13173151,0.101954736,NK_CD16:ENSG00000128165 -22,41796478,-0.062006474,0.025397766,NK_CD16:ENSG00000183864 -22,19368984,0.02395375,0.15697312,NK_CD16:ENSG00000185608 -22,31530757,0.110758826,0.056177173,NK_CD16:ENSG00000198089 -14,102046944,-0.17347048,0.044570893,NK_CD16:ENSG00000080824 -14,23940821,-0.1802814,0.049845673,NK_CD16:ENSG00000157326 -14,88549249,0.43333572,0.15421154,NK_CD16:ENSG00000165521 -14,105505364,-0.11966003,0.017722044,NK_CD16:ENSG00000213145 -14,64912263,0.35404927,0.032784246,NK_CD16:ENSG00000258289 -14,89571191,-0.43867153,0.12822488,NK_CD16:ENSG00000259073 -17,4979750,-0.15746729,0.073149346,NK_CD16:ENSG00000108509 -17,48794984,0.10272899,0.021643575,NK_CD16:ENSG00000159210 -17,78198788,-0.05409838,0.10222796,NK_CD16:ENSG00000167895 -17,80282246,0.14661121,0.01383532,NK_CD16:ENSG00000173821 -17,28563932,-0.10089759,0.12986624,NK_CD16:ENSG00000265845 -19,49826185,0.27657568,0.060620517,NK_CD16:ENSG00000039650 -19,2255312,-0.047906812,0.04297783,NK_CD16:ENSG00000104904 -19,18501948,0.068739735,0.021675326,NK_CD16:ENSG00000105655 -19,35870188,0.410976,0.058466405,NK_CD16:ENSG00000126243 -19,54875402,-0.56449014,0.055669807,NK_CD16:ENSG00000240403 -20,35554741,0.057150453,0.040213,NK_CD16:ENSG00000101000 -20,25392255,-0.0657762,0.019570107,NK_CD16:ENSG00000101004 -20,23634475,0.16622216,0.07350992,NK_CD16:ENSG00000101439 -20,48681705,0.15759946,0.018062409,NK_CD16:ENSG00000124126 -20,35526771,0.08061936,0.029253203,NK_CD16:ENSG00000125991 -20,60055635,0.56115687,0.18083392,NK_CD16:ENSG00000176659 -20,32772981,-0.024867637,0.025843771,NK_CD16:ENSG00000198547 -20,32744985,-0.077711165,0.027045261,NK_CD16:ENSG00000260257 -12,19225375,-0.73089886,0.26895827,NK_CD16:ENSG00000052126 -12,278298,0.1973752,0.119250596,NK_CD16:ENSG00000073614 -12,112099934,-0.13149859,0.038347576,NK_CD16:ENSG00000089022 -12,121343389,0.30728528,0.14541219,NK_CD16:ENSG00000110931 -12,6924429,0.8731518,0.20099042,NK_CD16:ENSG00000111678 -12,93530239,0.11656632,0.23222254,NK_CD16:ENSG00000120833 -12,102285874,-0.3531813,0.03466572,NK_CD16:ENSG00000120860 -12,25325595,-0.27715287,0.043595105,NK_CD16:ENSG00000133703 -12,38874204,0.42568704,0.11116493,NK_CD16:ENSG00000139117 -12,128738844,-0.6476785,0.0950394,NK_CD16:ENSG00000139370 -12,49336352,-0.18080111,0.07782929,NK_CD16:ENSG00000139644 -12,103847758,0.0030243117,0.02806495,NK_CD16:ENSG00000171310 -12,2877437,-0.1677119,0.16551836,NK_CD16:ENSG00000171792 -12,57940059,0.043014575,0.053552896,NK_CD16:ENSG00000175197 -12,31804760,-0.38353592,0.2071779,NK_CD16:ENSG00000188375 -12,89441951,0.5791455,0.25846687,NK_CD16:ENSG00000270344 -12,69381338,-0.11473514,0.052180942,NK_CD16:ENSG00000274979 -21,41426334,-0.047560196,0.11744509,NK_CD16:ENSG00000157601 -21,33902431,-0.13397683,0.01844097,NK_CD16:ENSG00000241837 -21,34208067,0.19547601,0.15136796,NK_CD16:ENSG00000243927 -1,108928847,-0.030466953,0.05157493,NK_CD16:ENSG00000121957 -1,109735327,0.31712994,0.100100085,NK_CD16:ENSG00000134202 -1,26220232,0.06200538,0.018159296,NK_CD16:ENSG00000142669 -1,204410324,0.062214326,0.055236388,NK_CD16:ENSG00000158615 -1,245035798,-0.047332212,0.2856563,NK_CD16:ENSG00000203666 -1,168281906,0.18345578,0.05538912,NK_CD16:ENSG00000213064 -1,168340257,-0.012836045,0.052831214,NK_CD16:ENSG00000213064 -1,119176476,0.23179148,0.20060855,NK_CD16:ENSG00000231365 -8,26579774,-0.17388406,0.03613007,NK_CD16:ENSG00000092964 -8,42995996,0.1812605,0.040565427,NK_CD16:ENSG00000168522 -8,21056782,-0.26172772,0.02764945,NK_CD16:ENSG00000254092 -8,96642897,-0.07116237,0.03271574,NK_CD16:ENSG00000270077 -8,2140331,-0.7604148,0.050850514,NK_CD16:ENSG00000287970 -5,39308949,0.12459869,0.014459959,NK_CD16:ENSG00000082074 -5,79311236,-0.12260617,0.019627513,NK_CD16:ENSG00000132837 -5,157107151,0.37529552,0.034154937,NK_CD16:ENSG00000135077 -5,116094060,0.18415332,0.030569855,NK_CD16:ENSG00000145781 -5,146744488,0.6207879,0.17487039,NK_CD16:ENSG00000156475 -5,79628017,0.20152329,0.037444774,NK_CD16:ENSG00000164309 -5,154282469,0.07384177,0.020206999,NK_CD16:ENSG00000164574 -5,160425647,0.34846148,0.14596184,NK_CD16:ENSG00000164611 -5,41584450,0.024339873,0.038916238,NK_CD16:ENSG00000205765 -5,132311782,0.45206395,0.06378473,NK_CD16:ENSG00000233006 -5,25764220,-0.005840703,0.025410682,NK_CD16:ENSG00000251273 -2,127081858,1.6800085,0.22123392,NK_CD16:ENSG00000136717 -2,179042149,0.13499391,0.2635719,NK_CD16:ENSG00000163492 -2,238169403,0.30577764,0.112586185,NK_CD16:ENSG00000178752 -2,206704,0.19814213,0.03085971,NK_CD16:ENSG00000184731 -2,237497723,0.008158187,0.037953228,NK_CD16:ENSG00000225057 -2,74429595,-0.044047624,0.27873555,NK_CD16:ENSG00000286623 -15,64172595,0.12133084,0.040399976,NK_CD16:ENSG00000028528 -15,90940162,0.069072105,0.022085432,NK_CD16:ENSG00000140553 -15,64144390,0.07728214,0.026444394,NK_CD16:ENSG00000166794 -15,64083017,-0.080543645,0.022951841,NK_CD16:ENSG00000166797 -15,84628952,0.09672637,0.022196518,NK_CD16:ENSG00000177082 -15,31223009,-0.12754479,0.038305603,NK_CD16:ENSG00000259448 -15,74012108,-0.09528882,0.065274745,NK_CD16:ENSG00000261801 -4,102579631,0.12456134,0.020277103,NK_CD16:ENSG00000109320 -4,2942791,0.32517415,0.076264456,NK_CD16:ENSG00000109736 -4,140421283,-0.1921266,0.05650596,NK_CD16:ENSG00000153130 -4,152701348,-0.5426283,0.07892986,NK_CD16:ENSG00000170006 -4,118491922,-0.022519672,0.022625195,NK_CD16:ENSG00000250950 -13,24465983,-0.13238396,0.018821232,NK_CD16:ENSG00000102699 -13,74115959,-0.17718865,0.02435726,NK_CD16:ENSG00000118922 -13,75536337,0.017927555,0.1057464,NK_CD16:ENSG00000118939 -13,24149558,0.0018911455,0.10153845,NK_CD16:ENSG00000151835 -13,110680712,-0.10922946,0.13811472,NK_CD16:ENSG00000153487 -13,52401361,0.30835012,0.048401088,NK_CD16:ENSG00000165416 -13,19665701,-0.22448865,0.031041106,NK_CD16:ENSG00000196199 -13,20999362,-0.20943178,0.066560656,NK_CD16:ENSG00000233851 -13,52661291,0.16712588,0.04040194,NK_CD16:ENSG00000278238 -9,26957913,0.1393933,0.04773087,NK_CD16:ENSG00000096872 -9,34651621,-0.08152535,0.23659009,NK_CD16:ENSG00000147955 -9,136620848,0.030804206,0.07501355,NK_CD16:ENSG00000148400 -9,20851232,0.49897698,0.3064883,NK_CD16:ENSG00000188921 -9,3562001,0.2611867,0.3329185,NK_CD16:ENSG00000237359 -9,37121788,0.10244412,0.07866829,NK_CD16:ENSG00000281649 -18,3258153,0.25412428,0.016789025,NK_CD16:ENSG00000118680 -18,23573978,0.59902006,0.085300036,NK_CD16:ENSG00000141458 -18,49819559,-0.2785011,0.04128082,NK_CD16:ENSG00000167315 -18,7415262,-0.25709635,0.0729509,NK_CD16:ENSG00000173482 -7,1953724,0.3314292,0.04889935,NK_CD16:ENSG00000002822 -7,44783925,-0.034479182,0.032325227,NK_CD16:ENSG00000105953 -7,66916911,0.08414767,0.02759245,NK_CD16:ENSG00000106609 -7,158913959,-0.17547877,0.021017678,NK_CD16:ENSG00000126870 -7,116035304,0.20542218,0.019754913,NK_CD16:ENSG00000135269 -7,155168255,-0.005237679,0.021646434,NK_CD16:ENSG00000157212 -7,102745157,0.09028729,0.02642293,NK_CD16:ENSG00000161036 -7,93128873,-0.12535733,0.03496888,NK_CD16:ENSG00000177409 -11,65714381,-0.033408552,0.19903588,NK_CD16:ENSG00000014216 -11,76114963,-0.056907255,0.020870361,NK_CD16:ENSG00000078124 -11,76974776,-0.13822936,0.024465298,NK_CD16:ENSG00000078124 -11,47419207,-0.077888474,0.019635875,NK_CD16:ENSG00000109920 -11,86498068,0.14954059,0.042327154,NK_CD16:ENSG00000150687 -10,62414367,-0.21381037,0.021412734,NK_CD16:ENSG00000138311 -10,62183533,-0.4040644,0.06506008,NK_CD16:ENSG00000150347 -10,60734058,-0.15061574,0.25924954,NK_CD16:ENSG00000151150 -10,119168929,-0.466815,0.11777735,NK_CD16:ENSG00000165672 -10,102781743,-0.008475992,0.020327417,NK_CD16:ENSG00000166272 -10,131981887,-0.13446736,0.036677923,NK_CD16:ENSG00000176171 -10,49178453,0.035438288,0.043107815,NK_CD16:ENSG00000204161 -10,102476724,0.05593307,0.022037081,NK_CD16:ENSG00000214435 -10,14910778,0.061753083,0.039751872,NK_CD16:ENSG00000272853 -10,87402003,0.08818325,0.32469094,NK_CD16:ENSG00000287077 -16,82122752,-0.06603733,0.028601987,NK_CD16:ENSG00000135698 -16,30826807,-0.05757215,0.022399867,NK_CD16:ENSG00000156873 -16,89814436,-0.032068476,0.053235583,NK_CD16:ENSG00000185324 -16,28993042,0.31195477,0.099395,NK_CD16:ENSG00000260853 -16,10343382,0.0038632187,0.055138577,NK_CD16:ENSG00000274038 -3,50361458,0.42534837,0.24862997,NK_CD16:ENSG00000068028 -3,36987617,0.099591605,0.025596656,NK_CD16:ENSG00000076242 -3,61540385,0.21463509,0.16174836,NK_CD16:ENSG00000144724 -3,46314557,0.057288915,0.04106052,NK_CD16:ENSG00000160791 -3,134201899,0.25967905,0.09360463,NK_CD16:ENSG00000163785 -3,198006358,0.06529888,0.015069815,NK_CD16:ENSG00000182899 -9,128597110,-0.04077151,0.046195827,B_memory_IGHMhigh:ENSG00000175283 -4,168255227,0.05499809,0.26577333,B_memory_IGHMhigh:ENSG00000129116 -14,77932173,0.10004476,0.10287382,B_memory_IGHMhigh:ENSG00000063761 -14,105549392,0.4716991,0.29639617,B_memory_IGHMhigh:ENSG00000211897 -10,78004035,-0.1493615,0.03288728,B_memory_IGHMhigh:ENSG00000138326 -10,49189636,-0.027037842,0.31900206,B_memory_IGHMhigh:ENSG00000204161 -22,43955471,-0.20191984,0.04587307,B_memory_IGHMhigh:ENSG00000100347 -22,22907918,0.7242208,0.110189244,B_memory_IGHMhigh:ENSG00000211675 -8,37079015,-0.059027452,0.048828095,B_memory_IGHMhigh:ENSG00000187840 -7,74230457,-0.13213508,0.2599755,B_memory_IGHMhigh:ENSG00000086730 -7,141100890,0.07324807,0.058757227,B_memory_IGHMhigh:ENSG00000090266 -7,99308849,-0.18263651,0.083143204,B_memory_IGHMhigh:ENSG00000130429 -7,6718916,-0.24704203,0.05225167,B_memory_IGHMhigh:ENSG00000146574 -7,77314810,-0.21708922,0.054454032,B_memory_IGHMhigh:ENSG00000186088 -7,102747020,-0.29989582,0.044498935,B_memory_IGHMhigh:ENSG00000267368 -19,41850876,-0.08137736,0.00947684,B_memory_IGHMhigh:ENSG00000105372 -19,52460173,0.28132203,0.07942819,B_memory_IGHMhigh:ENSG00000288253 -1,232944691,0.03259118,0.049551994,B_memory_IGHMhigh:ENSG00000135778 -1,230277090,0.084722735,0.2733438,B_memory_IGHMhigh:ENSG00000143641 -1,183635770,-0.122738115,0.07823738,B_memory_IGHMhigh:ENSG00000162704 -1,169962857,-0.41367248,0.29335943,B_memory_IGHMhigh:ENSG00000171806 -12,47970929,-0.33253774,0.42853877,B_memory_IGHMhigh:ENSG00000134291 -12,66137823,-0.23642069,0.569215,B_memory_IGHMhigh:ENSG00000155957 -12,50924640,-0.22837025,0.13096458,B_memory_IGHMhigh:ENSG00000185432 -12,9943487,0.3960147,0.05969478,B_memory_IGHMhigh:ENSG00000225231 -12,11179375,0.054462552,0.030937087,B_memory_IGHMhigh:ENSG00000231887 -2,108696272,0.009649838,0.084374465,B_memory_IGHMhigh:ENSG00000135968 -15,28222824,0.14753176,0.0584036,B_memory_IGHMhigh:ENSG00000128731 -15,44013424,-0.7822745,0.3182751,B_memory_IGHMhigh:ENSG00000166946 -6,169865233,0.02240115,0.048004713,B_memory_IGHMhigh:ENSG00000130024 -17,20790074,0.16525681,0.22738631,B_memory_IGHMhigh:ENSG00000274180 -20,46812703,0.4087522,0.2002676,B_memory_IGHMhigh:ENSG00000100982 -20,33838557,0.017846687,0.22640298,B_memory_IGHMhigh:ENSG00000101417 -20,25668419,0.043856923,0.06992858,B_memory_IGHMhigh:ENSG00000213742 -13,40818413,-0.008216131,0.049993508,B_memory_IGHMhigh:ENSG00000120690 -13,98741325,-0.15623291,0.08330946,B_memory_IGHMhigh:ENSG00000169508 -13,113827814,0.41261142,0.046686754,B_memory_IGHMhigh:ENSG00000233695 -13,107975846,0.08348725,0.07979908,B_memory_IGHMhigh:ENSG00000277246 -3,42660202,0.13401827,0.041148115,B_memory_IGHMhigh:ENSG00000008324 -3,129425480,-0.013022539,0.24656253,B_memory_IGHMhigh:ENSG00000129071 -3,134276255,-0.07923836,0.22918236,B_memory_IGHMhigh:ENSG00000163785 -3,129015977,0.3832416,0.20943376,B_memory_IGHMhigh:ENSG00000177646 -3,157292575,0.14308436,0.06976946,B_memory_IGHMhigh:ENSG00000243176 -5,131259715,0.083146416,0.020263616,B_memory_IGHMhigh:ENSG00000169567 -18,26980331,-0.113462865,0.19194704,B_memory_IGHMhigh:ENSG00000141384 -18,80093639,-0.16201557,0.031095242,B_memory_IGHMhigh:ENSG00000226742 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-18,11975747,0.15584193,0.041706756,B_memory_IGHMlow:ENSG00000141401 -18,63248351,-0.035087176,0.06373218,B_memory_IGHMlow:ENSG00000171791 -12,31094546,0.44024637,0.31659344,B_memory_IGHMlow:ENSG00000013573 -12,6539103,0.081172384,0.2057243,B_memory_IGHMlow:ENSG00000111639 -12,69328190,-0.111149505,0.06841829,B_memory_IGHMlow:ENSG00000127337 -12,66194569,-0.008760935,0.12544955,B_memory_IGHMlow:ENSG00000155957 -11,128954960,-0.03931336,0.40940475,T_CD8_CM:ENSG00000170322 -12,10428847,-0.3699129,0.20996769,T_CD8_CM:ENSG00000183542 -9,33122511,-0.0698716,0.07770283,T_CD8_CM:ENSG00000086062 -13,45210548,-0.052289177,0.08986392,T_CD8_CM:ENSG00000083635 -3,141711241,0.045420226,0.0894343,T_CD8_CM:ENSG00000114120 -14,67329577,-0.13185224,0.08142807,T_CD8_CM:ENSG00000100554 -1,151932388,-0.073790416,0.20402347,T_CD8_CM:ENSG00000159445 From e55499b04e236b246777ba62157da5df4e681957 Mon Sep 17 00:00:00 2001 From: bruno-ariano Date: Tue, 11 Nov 2025 20:39:22 +0100 Subject: [PATCH 31/61] update readme --- docs/README.md | 5 +++-- 1 file changed, 3 insertions(+), 2 deletions(-) diff --git a/docs/README.md b/docs/README.md index 5e6935a..b830e5a 100755 --- a/docs/README.md +++ b/docs/README.md @@ -22,9 +22,10 @@ Before running the pipeline, ensure you have the following installed: ## ▶️ Running the pipeline -### Example: Fine-Mapping + Colocalization +### Example: SNP extraction ```bash -nextflow run main.nf -r 1.0 -profile [docker|singularity|conda] --summarystats_input /path/to/input_table.tsv --run_colocalization true --finemap_id my_finemap_run --coloc_id my_coloc_run -w ./work -resume +nextflow run main.nf -r 1.0 -profile [docker|singularity|conda] --export true --tiledb_path /path/to/tiledb --snp /path/to/snp --attrs attributes_list_string --out "out" --type_sumstat gwas(or qtl) --tiledb_batch_size number_of_batches_per_job + ``` ### Example: Run Only Colocalization (with existing `.h5ad`) From c88a6457e14f869bb300f27f0ac1270e7a4f1d47 Mon Sep 17 00:00:00 2001 From: bruno-ariano Date: Tue, 11 Nov 2025 21:32:35 +0100 Subject: [PATCH 32/61] Further modify the README --- conf/test.config | 2 +- docs/README.md | 314 +++++++---------------------------------------- 2 files changed, 48 insertions(+), 268 deletions(-) diff --git a/conf/test.config b/conf/test.config index 794f11c..9c0012e 100644 --- a/conf/test.config +++ b/conf/test.config @@ -1,6 +1,6 @@ profiles { - test { + test_ingest { params { ingest = true file_path_ingestion = "${projectDir}/example_data/example_data_table.csv" diff --git a/docs/README.md b/docs/README.md index b830e5a..c03a604 100755 --- a/docs/README.md +++ b/docs/README.md @@ -3,10 +3,10 @@ ## Nextflow usage This pipeline consists of 2 main subcommands called ingestion and export. The ingestion is used in import new data into an existing or a new TileDB while the export can be used to query the data and export it in a txt file. This program makes also optionally use of Nextlfow for speed-up the computation. -# Flanders : Finemapping coLocalization AND plEiotRopy Solver +# TileDB-sumstat -Flanders is a modular pipeline and toolkit for scalable **fine-mapping** and **colocalization** of genetic association signals across large scale datasets and multiple traits. -Implemented using **Nextflow** and mostly **R**, it separates computationally intensive fine-mapping from downstream colocalization to optimize reusability and performance. +TileDB-sumstat is a pipeline and toolkit for scalable **ingestion** and **export** of genetic association signals across large scale datasets for both GWAS and QTL(single cell) data. +Implemented using **Nextflow** **Python** and **TileDB** --- @@ -22,297 +22,77 @@ Before running the pipeline, ensure you have the following installed: ## ▶️ Running the pipeline -### Example: SNP extraction +### Example: Run SNPs extraction ```bash -nextflow run main.nf -r 1.0 -profile [docker|singularity|conda] --export true --tiledb_path /path/to/tiledb --snp /path/to/snp --attrs attributes_list_string --out "out" --type_sumstat gwas(or qtl) --tiledb_batch_size number_of_batches_per_job +nextflow run main.nf -profile [docker|singularity|conda] --export true --tiledb_path /path/to/tiledb --snp /path/to/snp --attrs attributes_list_string --out "out" --type_sumstat gwas(or qtl) --tiledb_batch_size number_of_batches_per_job ``` -### Example: Run Only Colocalization (with existing `.h5ad`) +### Example: Run ingestion of sumstat ```bash -nextflow run Biostatistics-Unit-HT/Flanders -r 1.0 -profile [docker|singularity|conda] --coloc_h5ad_input /path/to/finemapping_output.h5ad --run_colocalization true --coloc_id my_coloc_run -w ./work -resume +nextflow run main.nf -profile [docker|singularity|conda] --ingest true --file_path_ingestion /path/to/file_ingestion --mapping_file path_for_mapping_file --type_sumstat gwas(or qtl) --qc false --ingestion_chunk_files 2 --tiledb_name "test" ``` ### Quick run with example dataset ```bash -nextflow run Biostatistics-Unit-HT/Flanders -r 1.0 -profile test,singularity -w ./work +nextflow run main.nf -profile test_export_lb,conda ```
## 🧠 Pipeline overview -Flanders separates the fine-mapping and colocalization process into two distinct steps: +TileDB-sumstat implement 2 methods for ingesting end querying summary statistics in 2 disctinct steps.

-### Step 1: Fine-mapping +### Step 1: Ingestion +This part is to ingest summary in TileDB #### Required Inputs - Input | Description | -|-------|-------------| -| [GWAS summary statistics](https://github.com/Biostatistics-Unit-HT/Flanders/wiki/Fine‐mapping-inputs#gwas-summary-statistics) | `.tsv`/`.csv` (optionally gzipped) | -| LD reference panel | PLINK-format reference panel (`.bed/.bim/.fam`) — preferably from the same sample population used in the GWAS | -| [Metadata and GWAS-specific parameters table](https://github.com/Biostatistics-Unit-HT/Flanders/wiki/Fine‐mapping-inputs#metadata-and-gwas-specific-parameters-table) | `.tsv` file listing GWAS summary statistics paths and trait-specific parameters | -
- -#### Steps - -1. **Munging of GWAS summary statistics** - - Format harmonization and imputation of missing information (e.g. missing allele frequency calculated from the LD reference panel) - - Optional liftover to GRCh38 - - Optional restriction of analysis to enlisted chromosomes -
⚠️ In addition to autosomes, chromosomes **X** and **Y** are also accepted. - - Alphabetical ordering of alleles, ensuring the first one in alphabetical order is the effect allele (effect sizes and allele frequencies are flipped/inverted where needed) - - Conversion of SNP IDs to Flanders internal coding of `"chr"CHR:POS:EA:NEA` ***where EA is the first allele in alphabetical order*** -
⚠️ This differs from common REF/ALT conventions and allows for robust variants matching between multiple GWAS summary statistics and LD reference panel. -
- -#### 2. Identification of significantly associated genomic regions - - Identifies genomic regions containing significant associated SNPs by employing `Locusbreaker`, an in-house developed algorithm which defines each association peak based on the distance between the end of a peak and the start of the next one. - -
- -`Locusbreaker` first selects all SNPs below a given a p-value threshold (suggested value 1x10-6, customizable at the column `p_thresh2` of the [Metadata and GWAS-specific parameters table](https://github.com/Biostatistics-Unit-HT/Flanders/wiki/Fine‐mapping-inputs#metadata-and-gwas-specific-parameters-table)), identifying groups of SNPs positionally close to each other. -
If two consecutive SNPs are closer to each other than a set distance threshold (suggested value 250kb, customizable at the column `hole` of the [Metadata and GWAS-specific parameters table](https://github.com/Biostatistics-Unit-HT/Flanders/wiki/Fine‐mapping-inputs#metadata-and-gwas-specific-parameters-table)), they are grouped into the same locus, while if they are further apart than the distance threshold, they are used to define the boundaries between peaks. -
Loci with at least a significant SNPs (suggested value 5x10-8, customizable at the column `p_thresh1` of the [Metadata and GWAS-specific parameters table](https://github.com/Biostatistics-Unit-HT/Flanders/wiki/Fine‐mapping-inputs#metadata-and-gwas-specific-parameters-table)) are retained and their boundaries are enlarged by 100kb to fully capture the shape of the association peak. -
- -
- - -#### 3. Fine-Mapping with SuSiE-RSS - - For each genomic region, finemapping is performed using [SuSiE-RSS](https://stephenslab.github.io/susieR/reference/susie_rss.html) and LD calculated from input PLINK files -
⚠️ Whenever possible, in sample LD is strongly recommended (especially for molecular omic phenotypes where the explained variance can be very large). -
⚠️ Be aware that only SNPs in common between the GWAS summary statistics and the LD reference panel are taken into account for fine-mapping, while all other SNPs are discarded (loci for which no SNP overlap is found between the GWAS summary statistics and the LD reference panel are reported in [NOT_FINEMAPPED_no_variants_from_locus_in_LD_ref.tsv](https://github.com/Biostatistics-Unit-HT/Flanders/wiki/Fine%E2%80%90mapping-exceptions#not_finemapped_no_variants_from_locus_in_ld_reftsv)). -
⚠️ Be aware that **loci fully or partially overlapping the HLA region (GRCh38: chr6:28,510,120-33,480,577) are excluded from fine-mapping**. The HLA region is characterized by extremely high variant density, long-range linkage disequilibrium and complex haplotype patterns, which can bias statistical fine-mapping methods and reduce confidence in inferred causal variants. -
- -#### 4. Saving fine-mapping results to AnnData object - - Log approximate Bayes factors (lABFs) and metadata for the 99% credible sets are stored in an [AnnData object](https://anndata.dynverse.org/index.html) (.h5ad). -
-
- -### Step 2: Colocalization analysis - -#### Inputs -|Input | File description | -|------|------------------| -| [Fine-mapping AnnData](https://github.com/Biostatistics-Unit-HT/Flanders/wiki/csAnnData-specifications) | An `.h5ad` file containing lABFs and metadata of credible sets (output from the fine-mapping step) | -
- -#### Steps - -#### 1. Generation of colocalization guide table -- Lists all pairs of credible sets that share at least one SNP (it is not possible for credible sets to colocalize without sharing at least a SNP). -
⚠️ If no credible sets share at least one SNP, no colocalization is performed and an empty guide table is produced. - -#### 2. Colocalization with iCOLOC - - Performs pair-wise colocalization for pair of credible sets listed in the guide table by employing `iCOLOC`, a framework extending traditional [colocalization analysis using Bayes Factors](https://chr1swallace.github.io/coloc/reference/coloc.abf.html) by imputing lABFs of SNPs outside of credible sets to the minimum lABF value in the locus. - -
- -iCOLOC approach allows to: - 1. Significantly reducing storage requirements by saving in the AnnData object only exact lABF values of credible sets SNPs - 2. Enhancing colocalization accuracy compared to tradional coloc by reducing false positives due to two causal SNPs being in strong LD. -
- -
-
- - -## 📁 Output -| Output Type | Description | -| ----------------------------------------------- | ---------------------------------------------------------------------------------------------------------------- | -| `gwas_and_loci_tables/*_dataset_aligned.tsv.gz` | Harmonized (and optionally lifted) GWAS summary statistics | -| `gwas_and_loci_tables/*_loci.tsv` | Boundaries of identified association regions and GWAS summary statistics for the sentinel SNP | -| `finemapping_exceptions/` | [Multiple tables reporting information about loci that were not fine-mapped with the standard procedure or at all](https://github.com/Biostatistics-Unit-HT/Flanders/wiki/Fine%E2%80%90mapping-exceptions) | -| `finemapping/*_susie_finemap.rds` _(optional)_ | Individual RDS files for each fine-mapped locus | -| `anndata/*.h5ad` | AnnData object with lABFs, CS metadata and SNP annotations resulting from fine-mapping | -| `coloc/coloc_guide_table.csv` | Colocalization analysis guide table, listing all colocalization tests performed | -| `coloc/*_colocalization.table.*.tsv` | Colocalization analysis results (all, filterd by PPH4 threshold and filtered by PPH3 threshold) | -
-
- - -## 👩‍🔬 Credits -Developed by the Biostatistics and Genome Analysis Units at [Human Technopole](https://humantechnopole.it/en/)
-- [Arianna Landini](mailto:arianna.landini@fht.org)
-- [Sodbo Sharapov](mailto:sodbo.sharapov@fht.org)
-- [Edoardo Giacopuzzi](mailto:edoardo.giacopuzzi@fht.org)
-- [Bruno Ariano](mailto:bruno.ariano@fht.org)
-- [Nicola Pirastu](mailto:nicola.pirastu@fht.org)
- -## TileDB advanced usage - -``` -python main.py - -Usage: main.py [OPTIONS] COMMAND [ARGS]... - - Single cell analysis with TileDB - -Dask cluster options: - --workers INTEGER Number of workers to use in the Dask cluster - --cores_w INTEGER Number of core to use per single worker - --memory_w TEXT Number of GB to give as memory for each worker - --local_cluster Use this option to parallelize within a node (Use for Sanger cluster) - -Other options: - --help Show this message and exit. - -Commands: - ingestion Ingest single cell QTL with TileDB - export Query the TileDb and export the data in csv format -``` -
- -test -## Ingestion -To ingest new data into a TileDB use the ```ingestion``` option of the program. To check all the possible option that can be given below. - -``` python main.py ingestion --help``` - -
- Help message - - ``` - Ingest single cell QTL with TileDB - - Essential parameters: - --uri TEXT Where to store the TileDB - --list_files TEXT List of the files to ingest. Each files needs to be in tsv format (gz or not) - --cell_type TEXT The celltype to ingest +Parameters | Description | + |-------|-------------| + | [file_path_ingestion] [List of GWAS summary statistics] A `.csv` file containing the path the summary statistics to ingests + | [mapping_file] [Mapping file] A mapping file containing the name of the column and supposed mapped ones + | [type_sumstat] [Type of summary statistics] This can be either a gwas or a qtl(for single cell) + | [qc] [Perform QC] This parameter perform QC on summary statistics prior ingestion + | [ingestion_chunk_files] [Number of summary stats in parallel] This dictate how many summary statistics to ingest in parallel + | [type_sumstaat] [gwas, qtl] - Optional parameters: - --batch_size INT The number of rows form a file to ingest at once(Don't touch this parameter unless you know how ot will affect both the memory of the process and the TileDB itself). - --chunk_size INT The number of rows to ingest at once - Other options: - --help Show this message and exit. - ``` -
+** Note** +Check the example files in the folder
-### Query and Export -To query and export the TileDB you need to use the command exportlike shown below. Also below are the options you can see the type of query you can use and how to export the data in a csv file - -``` python main.py export --help``` - -
- Help message - -``` -Usage: main.py export [OPTIONS] - - Qeury TileDB database and export data. +### Step 2: Export +This part is to export summary in TileDB. There is in this step a series of common parameters and a series of specific one depending on which type of export you are doing (SNP/region or LocusBreaker) -Options for querying the TileDB: - --uri TEXT Where to data to be created or queried is stored - --schema Print the schema of a tiledb - --chrom TEXT Cell to interrogate - --cell TEXT Cell to interrogate - --gene TEXT Gene to interrogate - --snp TEXT List of SNPs to interrogate taken from a txt file. - Please check the example file in test_data/dummy_SNPs.txt for details on the format of this file - +#### Common parameters +Parameters | Description | + | [export] [Activate export] A `.csv` file containing the path the summary statistics to ingests + | [tiledb_path] [Path for TileDB] A mapping file containing the name of the column and supposed mapped ones + | [attrs] [BETA,SE,PVAL,EAF,A1,A2] Attributes that are used in the export + | [tiledb_batch_size] [Divide the entire set of SNPs in batches] This dictate how many summary statistics to ingest in parallel + | [out] [Name of the output file] Depending on the batch defined a suffix is attached to this. -Options for general filters into TileDB: - - --maf FLOAT -Options for Locusbreaker: - --locusbreaker Option to run locusbreaker - --pvalue-sig FLOAT P-value threshold to use for filtering the data (default: 5e-8) - --pvalue-limit FLOAT P-value threshold for loci borders (default: 5e-6) - --hole-size INTEGER Minimum pair-base distance between SNPs in different loci (default: 250000) - --maf FLOAT The MAF to filter the TILEDB before locusbreaker (default: 0.01) - --table TEXT Path of the table containing the traits to interrogate +#### 2.1. Export SNP/Regions +- There are 2 options to export raw sumstat, either SNPs or regions. +Parameters | Description | + |-------|-------------| + | [snp] [Path of SNP] This can be either a gwas or a qtl(for single cell) -Options for output: - --out TEXT Output path with file name where results will be stored - - -Other options: - --help Show this message and exit. -``` -
-
- -## Dry example run - -To give an idea on how this program works we created a series of script and dummy data for you to test the program. Please keep in mind that for running these example you need at least 15 GB of memory on your computer and you need also the conda environment activated - -
- -### Step 1 ingest your data in a TileDB - -To test how to ingest data you can use the below command which use all the options described above: - -``` -python main.py ingestion --uri dummy_tiledb_CD14 --list_files test_data/list_files.txt -``` -
-### Step 2 investigate the schema of the TileDB +#### 2.1. Export Locusbreaker +- Identifies genomic regions containing significant associated SNPs by employing `Locusbreaker`, an in-house developed algorithm which defines each association peak based on the distance between the end of a peak and the start of the next one. -To get details on how the TileDB you created is made run the following command: +Parameters | Description | + |-------|-------------| + | [maf_lb] The minor allele frequency filter to apply for locus-breaker + | [locus_max_size_lb] Max size of the LB region + | [hole_lb] Hole that define the distribution of the peak + | [cis_trans_lb] In case of qtl if filtering for either cis or trans (1Mb distance) + | [table_lb] A table containing the traits to perform LB on (check example_data/locusbreaker_test_table.csv) -``` -python main.py export --uri dummy_tiledb_CD14 --schema -```
- Schema of the file - -``` -ArraySchema( - domain=Domain(*[ - Dim(name='cell_type', domain=('', ''), tile=None, dtype='|S0', var=True, filters=FilterList([LZ4Filter(level=5), ])), - Dim(name='gene', domain=('', ''), tile=None, dtype='|S0', var=True, filters=FilterList([LZ4Filter(level=5), ])), - Dim(name='position', domain=(1, 3000000000), tile=3000000000, dtype='uint32', filters=FilterList([LZ4Filter(level=5), ])), - ]), - attrs=[ - Attr(name='SNP', dtype='ascii', var=True, nullable=False, enum_label=None, filters=FilterList([LZ4Filter(level=5), ])), - Attr(name='af', dtype='float32', var=False, nullable=False, enum_label=None, filters=FilterList([LZ4Filter(level=5), ])), - Attr(name='beta', dtype='float32', var=False, nullable=False, enum_label=None, filters=FilterList([LZ4Filter(level=5), ])), - Attr(name='se', dtype='float32', var=False, nullable=False, enum_label=None, filters=FilterList([LZ4Filter(level=5), ])), - Attr(name='allele0', dtype='ascii', var=True, nullable=False, enum_label=None, filters=FilterList([LZ4Filter(level=5), ])), - Attr(name='allele1', dtype='ascii', var=True, nullable=False, enum_label=None, filters=FilterList([LZ4Filter(level=5), ])), - Attr(name='p-value', dtype='float64', var=False, nullable=False, enum_label=None, filters=FilterList([LZ4Filter(level=5), ])), - ], - cell_order='row-major', - tile_order='row-major', - capacity=10000, - sparse=True, - allows_duplicates=True, -) -``` +`Locusbreaker` first selects all SNPs below a given a p-value threshold (suggested value 1x10-6, customizable at the column `LIM` of the [table_lb] file), identifying groups of SNPs positionally close to each other. +
If two consecutive SNPs are closer to each other than a set distance threshold (250kb), they are grouped into the same locus, while if they are further apart than the distance threshold, they are used to define the boundaries between peaks. +
Loci with at least a significant SNPs (suggested value 5x10-8, customizable at the column `SIG` of the [table_lb] file). are retained and their boundaries are enlarged by 100kb to fully capture the shape of the association peak.
-This will print the schema of the TileDB created. -
- -### Step 3 query and export data by a list of SNPs - -Here we are showing how to query the TileDB created above for a series of SNPs within cell types - -``` -python main.py export --uri dummy_tiledb_CD14 --snp test_data/dummy_SNPs.txt --cell_types test_data/dummy_cell_list.txt --output_path test_out_snp_CD14 -```
- -### Step 4 query and export data by a list of genes and cell types for all the positions - -``` -python main.py export --uri dummy_tiledb_CD14 --genes test_data/dummy_gene_list.txt --cell_types test_data/dummy_cell_list.txt --output_path test_out_genes_CD14 -``` -
- -### Step 5 run locus-breaker - -``` -python main.py export --uri dummy_tiledb_CD14 --genes test_data/dummy_gene_list.txt --cell_types test_data/dummy_cell_list.txt --output_path test_out_genes_CD14 -``` -This will create 2 files in txt format. One containing the the limit of each clumped region and another file with all the positions included in each independent region defined by significant SNPs. - -### Step 6 run locus-breaker with Dask - -To run both the ingestion and locusbreaker on parallel workers using Dask you can use the --workers parameters to define how many you want to use like described in the command below. -``` -python main.py --workers 6 --memory_w 15 export --uri dummy_tiledb_CD14 --genes test_data/dummy_gene_list.txt --cell_types test_data/dummy_cell_list.txt --output_path test_out_genes_CD14 -``` \ No newline at end of file From f88e00eb9804b7ac1c5854d3095fa4e67b672bec Mon Sep 17 00:00:00 2001 From: bruno-ariano Date: Fri, 14 Nov 2025 10:22:37 +0100 Subject: [PATCH 33/61] Further modify the README --- docs/README.md | 13 +++++++++++++ 1 file changed, 13 insertions(+) diff --git a/docs/README.md b/docs/README.md index c03a604..287b744 100755 --- a/docs/README.md +++ b/docs/README.md @@ -25,14 +25,27 @@ Before running the pipeline, ensure you have the following installed: ### Example: Run SNPs extraction ```bash nextflow run main.nf -profile [docker|singularity|conda] --export true --tiledb_path /path/to/tiledb --snp /path/to/snp --attrs attributes_list_string --out "out" --type_sumstat gwas(or qtl) --tiledb_batch_size number_of_batches_per_job +``` + +An example of a SNP file table is in the example_data folder example_data/snp_list.csv +### Example: Run regions extraction +```bash +nextflow run main.nf -profile [docker|singularity|conda] --export true --tiledb_path /path/to/tiledb --table-regions /path/to/snp --attrs attributes_list_string --out "out" --type_sumstat gwas(or qtl) --tiledb_batch_size number_of_batches_per_job ``` +An example of a SNP file table is in the example_data folder example_data/example_data_table.csv + ### Example: Run ingestion of sumstat ```bash nextflow run main.nf -profile [docker|singularity|conda] --ingest true --file_path_ingestion /path/to/file_ingestion --mapping_file path_for_mapping_file --type_sumstat gwas(or qtl) --qc false --ingestion_chunk_files 2 --tiledb_name "test" ``` +A mapping file provide a mapping between the observed column in the file and the one needed by TileDB. +An example of file like that is in example_data/mapping_file_test. + +An example of table with files to ingest is in example_data/example_data_table.csv. + ### Quick run with example dataset ```bash nextflow run main.nf -profile test_export_lb,conda From 2afbc58351b0567010ba2a9998b9f5648d123a86 Mon Sep 17 00:00:00 2001 From: bruno-ariano Date: Fri, 14 Nov 2025 16:04:21 +0100 Subject: [PATCH 34/61] Further modify the README --- Makefile | 2 +- README.md | 27 +++++++++++------- base_environment.yml | 2 +- docs/README.md | 13 ++++----- main.nf | 11 +------ modules/create_tiledb/main.nf | 4 +-- modules/ingestion/main.nf | 4 +-- modules/locusbreaker/main.nf | 4 +-- modules/merge_metadata/main.nf | 4 +-- modules/regions/main.nf | 6 ++-- modules/snp/main.nf | 4 +-- pyproject.toml | 6 ++-- {scqtl => tdbsumstat}/__init__.py | 0 {scqtl => tdbsumstat}/cli/__init__.py | 0 {scqtl => tdbsumstat}/cli/export.py | 2 +- {scqtl => tdbsumstat}/cli/ingestion.py | 2 +- {scqtl => tdbsumstat}/main.py | 8 +++--- .../test_data/dummy_SNPs.txt | 0 .../test_data/dummy_cell_list.txt | 0 .../test_data/dummy_gene_list.txt | 0 .../test_data/dummy_out.tsv.gz | Bin .../test_data/list_files.txt | 0 {scqtl => tdbsumstat}/test_data/test_lb.txt | 0 {scqtl => tdbsumstat}/utils/__init__.py | 0 .../utils/create_dummy_data_sc.py | 0 .../utils/create_metadata.py | 0 {scqtl => tdbsumstat}/utils/fix_json.py | 0 .../utils/generate_table_cell_sumstat.py | 0 .../utils/harmonize_ingest.py | 2 +- {scqtl => tdbsumstat}/utils/locusbreaker.py | 2 +- .../utils/locusbreaker_plpl.py | 0 {scqtl => tdbsumstat}/utils/test_pvalues.py | 0 .../utils/update_metadata.py | 0 33 files changed, 49 insertions(+), 54 deletions(-) rename {scqtl => tdbsumstat}/__init__.py (100%) rename {scqtl => tdbsumstat}/cli/__init__.py (100%) rename {scqtl => tdbsumstat}/cli/export.py (99%) rename {scqtl => tdbsumstat}/cli/ingestion.py (98%) rename {scqtl => tdbsumstat}/main.py (55%) rename {scqtl => tdbsumstat}/test_data/dummy_SNPs.txt (100%) rename {scqtl => tdbsumstat}/test_data/dummy_cell_list.txt (100%) rename {scqtl => tdbsumstat}/test_data/dummy_gene_list.txt (100%) rename {scqtl => tdbsumstat}/test_data/dummy_out.tsv.gz (100%) rename {scqtl => tdbsumstat}/test_data/list_files.txt (100%) rename {scqtl => tdbsumstat}/test_data/test_lb.txt (100%) rename {scqtl => tdbsumstat}/utils/__init__.py (100%) rename {scqtl => tdbsumstat}/utils/create_dummy_data_sc.py (100%) rename {scqtl => tdbsumstat}/utils/create_metadata.py (100%) rename {scqtl => tdbsumstat}/utils/fix_json.py (100%) rename {scqtl => tdbsumstat}/utils/generate_table_cell_sumstat.py (100%) rename {scqtl => tdbsumstat}/utils/harmonize_ingest.py (99%) rename {scqtl => tdbsumstat}/utils/locusbreaker.py (98%) rename {scqtl => tdbsumstat}/utils/locusbreaker_plpl.py (100%) rename {scqtl => tdbsumstat}/utils/test_pvalues.py (100%) rename {scqtl => tdbsumstat}/utils/update_metadata.py (100%) diff --git a/Makefile b/Makefile index 36be651..65a14cc 100755 --- a/Makefile +++ b/Makefile @@ -1,4 +1,4 @@ -APPNAME='scqtl' +APPNAME='tdbsumstat' TARGETS=build clean dependencies deploy install test uninstall VERSION=$(shell grep version pyproject.toml|cut -f2 -d'"') diff --git a/README.md b/README.md index 641c47d..8fa43f2 100755 --- a/README.md +++ b/README.md @@ -2,32 +2,37 @@ Screenshot 2024-11-17 at 20 47 08 -## This is a program for the and analysis of single cell QTL and GWAS data using Nextflow and TileDB +### This is a program for the and analysis of single cell QTL and GWAS data using Nextflow and TileDB -### Description +#### Description Welcome to TileDB-sumstat. This is a custom TileDB for singel cell QTL and GWAS data. Please have a look [here](https://github.com/HTGenomeAnalysisUnit/TileDB-sumstat/blob/main/CONTRIBUTING.md) on how to contribute to this repo. -## Additional link to help you get to know TileDB more +#### Additional link to help you get to know TileDB more - [TileDB](https://tiledb.com/) --- -## Installation +### Installation To install this program run the following: -### Create a virtual environment (recommended) -conda create --name scqtl --file conda-linux-64.lock +#### Create a virtual environment (recommended) +conda create --name tdbsumstat --file conda-linux-64.lock -conda activate scqtl +conda activate tdbsumstat -### Install the package +#### Install the package make install -### Verify installation -scqtl --help +#### Verify installation +tdbsumstat --help + + +#### To check how to use the Nextflow pipeline for extracting and ingesting data please refer here [HERE](https://github.com/HTGenomeAnalysisUnit/TileDB-sumstat/blob/nextflow_branch/docs/README) + +#### To check how to use the standalone tdbsumstat program instead check here [HERE](https://github.com/HTGenomeAnalysisUnit/TileDB-sumstat/blob/nextflow_branch/docs/README) + -### For information about usage of the pipeline have a look here [HERE](https://github.com/HTGenomeAnalysisUnit/TileDB-sumstat/blob/main/docs/README) diff --git a/base_environment.yml b/base_environment.yml index f6d3510..0578820 100755 --- a/base_environment.yml +++ b/base_environment.yml @@ -1,4 +1,4 @@ -name: scqtl +name: tdbsumstat channels: - conda-forge - nodefaults diff --git a/docs/README.md b/docs/README.md index 287b744..dbf8659 100755 --- a/docs/README.md +++ b/docs/README.md @@ -14,31 +14,28 @@ Implemented using **Nextflow** **Python** and **TileDB** Before running the pipeline, ensure you have the following installed: - [Nextflow](https://www.nextflow.io/docs/latest/getstarted.html) (v24.04+) -- For environment management, one of: - - [Docker](https://www.docker.com/) - - [Singularity](https://docs.sylabs.io/guides/3.5/user-guide/introduction.html) - - [Conda](https://docs.conda.io/en/latest/) +- For environment management it uses the conda environment you can install following the instruction in the main README:
## ▶️ Running the pipeline ### Example: Run SNPs extraction ```bash -nextflow run main.nf -profile [docker|singularity|conda] --export true --tiledb_path /path/to/tiledb --snp /path/to/snp --attrs attributes_list_string --out "out" --type_sumstat gwas(or qtl) --tiledb_batch_size number_of_batches_per_job +nextflow run main.nf -profile conda_slurm --export true --tiledb_path /path/to/tiledb --snp /path/to/snp --attrs attributes_list_string --out "out" --type_sumstat gwas(or qtl) --tiledb_batch_size number_of_batches_per_job ``` An example of a SNP file table is in the example_data folder example_data/snp_list.csv ### Example: Run regions extraction ```bash -nextflow run main.nf -profile [docker|singularity|conda] --export true --tiledb_path /path/to/tiledb --table-regions /path/to/snp --attrs attributes_list_string --out "out" --type_sumstat gwas(or qtl) --tiledb_batch_size number_of_batches_per_job +nextflow run main.nf -profile conda --export true --tiledb_path /path/to/tiledb --table-regions /path/to/snp --attrs attributes_list_string --out "out" --type_sumstat gwas(or qtl) --tiledb_batch_size number_of_batches_per_job ``` An example of a SNP file table is in the example_data folder example_data/example_data_table.csv ### Example: Run ingestion of sumstat ```bash -nextflow run main.nf -profile [docker|singularity|conda] --ingest true --file_path_ingestion /path/to/file_ingestion --mapping_file path_for_mapping_file --type_sumstat gwas(or qtl) --qc false --ingestion_chunk_files 2 --tiledb_name "test" +nextflow run main.nf -profile conda --ingest true --file_path_ingestion /path/to/file_ingestion --mapping_file path_for_mapping_file --type_sumstat gwas(or qtl) --qc false --ingestion_chunk_files 2 --tiledb_name "test" ``` A mapping file provide a mapping between the observed column in the file and the one needed by TileDB. @@ -109,3 +106,5 @@ Parameters | Description |
Loci with at least a significant SNPs (suggested value 5x10-8, customizable at the column `SIG` of the [table_lb] file). are retained and their boundaries are enlarged by 100kb to fully capture the shape of the association peak.
+ + diff --git a/main.nf b/main.nf index 5aa37db..8c0120e 100644 --- a/main.nf +++ b/main.nf @@ -5,30 +5,23 @@ include { EXPORT_SNP } from "./modules/snp" include { EXPORT_REGIONS } from "./modules/regions" include { MERGE_METADATA } from "./modules/merge_metadata" - workflow { if (params.ingest){ Channel.fromPath(params.file_path_ingestion, checkIfExists:true) .splitText(by: params.ingestion_chunk_files, keepHeader: true, file: true) .set { list_files } mapping_file = Channel.fromPath(params.mapping_file, checkIfExists:true) - create_tiledb = CREATE_TILEDB(mapping_file, Channel.of('dummy')) - // Pass the TileDB array through all ingestion steps ingestion_results = INGEST_DATA(create_tiledb.tiledb_storage, list_files, mapping_file, create_tiledb.dummy_file) - // Collect all completion signals all_metadata_parts = ingestion_results.metadata_parts.collect() all_ingestion_done = ingestion_results.ingestion_done.collect() - // Use the updated TileDB array from the last ingestion process // Get one instance of the updated TileDB array (they should all be the same) updated_tiledb = ingestion_results.tiledb_updated.first() - // After all ingestion is done, merge metadata using the updated TileDB - merged_metadata = MERGE_METADATA(updated_tiledb, mapping_file, all_metadata_parts, all_ingestion_done) - + merged_metadata = MERGE_METADATA(updated_tiledb, mapping_file, all_metadata_parts, all_ingestion_done) // The final output will be in merged_metadata.tiledb_final } if (params.export){ @@ -63,7 +56,5 @@ workflow { EXPORT_LOCUSBREAKER(tiledb_metadata_batches) } - } - } \ No newline at end of file diff --git a/modules/create_tiledb/main.nf b/modules/create_tiledb/main.nf index 2fde386..2556aeb 100644 --- a/modules/create_tiledb/main.nf +++ b/modules/create_tiledb/main.nf @@ -2,7 +2,7 @@ process CREATE_TILEDB { label "process_single" - conda '/ssu/gassu/conda_envs/scqtl' + conda '/ssu/gassu/conda_envs/tdbsumstat' publishDir "${params.outdir}/TileDB/", mode: 'copy' input: @@ -18,7 +18,7 @@ process CREATE_TILEDB { """ touch dummy_file - scqtl ingest --uri-path TileDB_${params.tiledb_name} \ + tdbsumstat ingest --uri-path TileDB_${params.tiledb_name} \ --create-tiledb \ --mapping-file ${mapping_file} \ --type-sumstat ${params.type_sumstat} diff --git a/modules/ingestion/main.nf b/modules/ingestion/main.nf index 95a4d57..9c375de 100644 --- a/modules/ingestion/main.nf +++ b/modules/ingestion/main.nf @@ -2,7 +2,7 @@ process INGEST_DATA { label "process_multi" - conda '/ssu/gassu/conda_envs/scqtl' + conda '/ssu/gassu/conda_envs/tdbsumstat' publishDir "${params.outdir}/TileDB/", mode: 'copy' @@ -23,7 +23,7 @@ process INGEST_DATA { script: def qc = params.qc ? "--qc" : "" """ - scqtl ingest \ + tdbsumstat ingest \ --uri-path TileDB_${params.tiledb_name}\ --file-path ${list_files} \ --mapping-file ${mapping_file} \ diff --git a/modules/locusbreaker/main.nf b/modules/locusbreaker/main.nf index b395922..19c1a77 100644 --- a/modules/locusbreaker/main.nf +++ b/modules/locusbreaker/main.nf @@ -2,7 +2,7 @@ process EXPORT_LOCUSBREAKER { label "process_multi" - conda '/ssu/gassu/conda_envs/scqtl' + conda '/ssu/gassu/conda_envs/tdbsumstat' publishDir "${params.outdir}/gwas_and_loci_tables", mode: params.publish_dir_mode @@ -19,7 +19,7 @@ process EXPORT_LOCUSBREAKER { // Define the shell script to execute script: """ - scqtl export \ + tdbsumstat export \ --table-lb ${traits_list_table} \ --tiledb-path ${params.tiledb_path} \ --out ${params.out} \ diff --git a/modules/merge_metadata/main.nf b/modules/merge_metadata/main.nf index 4fb41c5..9aa3f62 100644 --- a/modules/merge_metadata/main.nf +++ b/modules/merge_metadata/main.nf @@ -1,6 +1,6 @@ process MERGE_METADATA { label "process_single" - conda '/ssu/gassu/conda_envs/scqtl' + conda '/ssu/gassu/conda_envs/tdbsumstat' publishDir "${params.outdir}/TileDB/", mode: 'copy' input: @@ -29,7 +29,7 @@ process MERGE_METADATA { echo "Total JSON files collected:" ls TileDB_${params.tiledb_name}_metadata_parts/*.json 2>/dev/null | wc -l || echo "0" - scqtl ingest \ + tdbsumstat ingest \ --uri-path ${tiledb} \ --mapping-file ${mapping_file} \ --type-sumstat ${params.type_sumstat} \ diff --git a/modules/regions/main.nf b/modules/regions/main.nf index 48dce3c..fd0e409 100644 --- a/modules/regions/main.nf +++ b/modules/regions/main.nf @@ -2,8 +2,8 @@ process EXPORT_REGIONS { label "process_multi" - // conda '/ssu/gassu/conda_envs/scqtl' - conda '/software/cardinal_analysis/ht/conda_envs/scqtl' + conda '/ssu/gassu/conda_envs/tdbsumstat' + //conda '/software/cardinal_analysis/ht/conda_envs/tdbsumstat' publishDir "${params.outdir}/results/gwas_and_loci_tables/", mode: params.publish_dir_mode @@ -20,7 +20,7 @@ process EXPORT_REGIONS { // Define the shell script to execute script: """ - scqtl --workers ${params.workers} \ + tdbsumstat --workers ${params.workers} \ export \ --table ${traits_list_table} \ --uri-path ${params.tiledb_uri} \ diff --git a/modules/snp/main.nf b/modules/snp/main.nf index 2b96af2..e48a5b2 100644 --- a/modules/snp/main.nf +++ b/modules/snp/main.nf @@ -2,7 +2,7 @@ process EXPORT_SNP { label "process_multi" - conda '/ssu/gassu/conda_envs/scqtl' + conda '/ssu/gassu/conda_envs/tdbsumstat' publishDir "${params.outdir}/snp_table", mode: params.publish_dir_mode @@ -18,7 +18,7 @@ process EXPORT_SNP { // Define the shell script to execute script: """ - scqtl export \ + tdbsumstat export \ --snp ${snps_list_table} \ --attr ${params.attrs} \ --tiledb-path ${params.tiledb_path} \ diff --git a/pyproject.toml b/pyproject.toml index 12b789e..6f468a1 100755 --- a/pyproject.toml +++ b/pyproject.toml @@ -1,5 +1,5 @@ [tool.poetry] -name = "scqtl" +name = "tdbsumstat" version = "0.1.0" description = "TileDB summary statistics utilities" authors = ["Bruno Ariano "] @@ -42,8 +42,8 @@ line-length = 120 extend_exclude = ["scripts"] [tool.deptry.per_rule_ignores] -DEP003 = ["scqtl"] +DEP003 = ["tdbsumstat"] DEP002 = ["pyarrow"] [tool.poetry.scripts] -scqtl = "scqtl.main:main" # Adjust to your actual CLI path +tdbsumstat = "tdbsumstat.main:main" # Adjust to your actual CLI path diff --git a/scqtl/__init__.py b/tdbsumstat/__init__.py similarity index 100% rename from scqtl/__init__.py rename to tdbsumstat/__init__.py diff --git a/scqtl/cli/__init__.py b/tdbsumstat/cli/__init__.py similarity index 100% rename from scqtl/cli/__init__.py rename to tdbsumstat/cli/__init__.py diff --git a/scqtl/cli/export.py b/tdbsumstat/cli/export.py similarity index 99% rename from scqtl/cli/export.py rename to tdbsumstat/cli/export.py index 193c370..e6e2b8c 100755 --- a/scqtl/cli/export.py +++ b/tdbsumstat/cli/export.py @@ -2,7 +2,7 @@ import click import cloup import pandas as pd -from scqtl.utils.locusbreaker_plpl import locusbreaker_plpl +from tdbsumstat.utils.locusbreaker_plpl import locusbreaker_plpl import os import json import polars as pl diff --git a/scqtl/cli/ingestion.py b/tdbsumstat/cli/ingestion.py similarity index 98% rename from scqtl/cli/ingestion.py rename to tdbsumstat/cli/ingestion.py index d0fc117..009fc3a 100755 --- a/scqtl/cli/ingestion.py +++ b/tdbsumstat/cli/ingestion.py @@ -3,7 +3,7 @@ import os import click import cloup -from scqtl.utils.harmonize_ingest import Harmonize +from tdbsumstat.utils.harmonize_ingest import Harmonize import pandas as pd import polars as pl diff --git a/scqtl/main.py b/tdbsumstat/main.py similarity index 55% rename from scqtl/main.py rename to tdbsumstat/main.py index fddf43b..0890d23 100755 --- a/scqtl/main.py +++ b/tdbsumstat/main.py @@ -1,14 +1,14 @@ import click import cloup import os -from scqtl.cli.ingestion import ingest -from scqtl.cli.export import export +from tdbsumstat.cli.ingestion import ingest +from tdbsumstat.cli.export import export -@cloup.group(name="scqtl", help="Single cell analysis with TileDB", no_args_is_help=True) +@cloup.group(name="tdbsumstat", help="Genomics summary statistics analysis with TileDB", no_args_is_help=True) @click.pass_context def cli_init(ctx): - """Initialize the scqtl CLI context.""" + """Initialize the tdbsumstat CLI context.""" ctx.obj = {} return ctx.obj diff --git a/scqtl/test_data/dummy_SNPs.txt b/tdbsumstat/test_data/dummy_SNPs.txt similarity index 100% rename from scqtl/test_data/dummy_SNPs.txt rename to tdbsumstat/test_data/dummy_SNPs.txt diff --git a/scqtl/test_data/dummy_cell_list.txt b/tdbsumstat/test_data/dummy_cell_list.txt similarity index 100% rename from scqtl/test_data/dummy_cell_list.txt rename to tdbsumstat/test_data/dummy_cell_list.txt diff --git a/scqtl/test_data/dummy_gene_list.txt b/tdbsumstat/test_data/dummy_gene_list.txt similarity index 100% rename from scqtl/test_data/dummy_gene_list.txt rename to tdbsumstat/test_data/dummy_gene_list.txt diff --git a/scqtl/test_data/dummy_out.tsv.gz b/tdbsumstat/test_data/dummy_out.tsv.gz similarity index 100% rename from scqtl/test_data/dummy_out.tsv.gz rename to tdbsumstat/test_data/dummy_out.tsv.gz diff --git a/scqtl/test_data/list_files.txt b/tdbsumstat/test_data/list_files.txt similarity index 100% rename from scqtl/test_data/list_files.txt rename to tdbsumstat/test_data/list_files.txt diff --git a/scqtl/test_data/test_lb.txt b/tdbsumstat/test_data/test_lb.txt similarity index 100% rename from scqtl/test_data/test_lb.txt rename to tdbsumstat/test_data/test_lb.txt diff --git a/scqtl/utils/__init__.py b/tdbsumstat/utils/__init__.py similarity index 100% rename from scqtl/utils/__init__.py rename to tdbsumstat/utils/__init__.py diff --git a/scqtl/utils/create_dummy_data_sc.py b/tdbsumstat/utils/create_dummy_data_sc.py similarity index 100% rename from scqtl/utils/create_dummy_data_sc.py rename to tdbsumstat/utils/create_dummy_data_sc.py diff --git a/scqtl/utils/create_metadata.py b/tdbsumstat/utils/create_metadata.py similarity index 100% rename from scqtl/utils/create_metadata.py rename to tdbsumstat/utils/create_metadata.py diff --git a/scqtl/utils/fix_json.py b/tdbsumstat/utils/fix_json.py similarity index 100% rename from scqtl/utils/fix_json.py rename to tdbsumstat/utils/fix_json.py diff --git a/scqtl/utils/generate_table_cell_sumstat.py b/tdbsumstat/utils/generate_table_cell_sumstat.py similarity index 100% rename from scqtl/utils/generate_table_cell_sumstat.py rename to tdbsumstat/utils/generate_table_cell_sumstat.py diff --git a/scqtl/utils/harmonize_ingest.py b/tdbsumstat/utils/harmonize_ingest.py similarity index 99% rename from scqtl/utils/harmonize_ingest.py rename to tdbsumstat/utils/harmonize_ingest.py index 2a31d2b..bd18d1d 100755 --- a/scqtl/utils/harmonize_ingest.py +++ b/tdbsumstat/utils/harmonize_ingest.py @@ -9,7 +9,7 @@ import tiledb import gwaslab as gl from collections import defaultdict -from scqtl.utils import acat_optimized, compute_pheno_variance +from tdbsumstat.utils import acat_optimized, compute_pheno_variance logger = logging.getLogger(__name__) diff --git a/scqtl/utils/locusbreaker.py b/tdbsumstat/utils/locusbreaker.py similarity index 98% rename from scqtl/utils/locusbreaker.py rename to tdbsumstat/utils/locusbreaker.py index ea93aab..4053061 100755 --- a/scqtl/utils/locusbreaker.py +++ b/tdbsumstat/utils/locusbreaker.py @@ -1,6 +1,6 @@ import pandas as pd from typing import List -from scqtl.utils import compute_pheno_variance +from tdbsumstat.utils import compute_pheno_variance def locus_breaker( tiledb_data, diff --git a/scqtl/utils/locusbreaker_plpl.py b/tdbsumstat/utils/locusbreaker_plpl.py similarity index 100% rename from scqtl/utils/locusbreaker_plpl.py rename to tdbsumstat/utils/locusbreaker_plpl.py diff --git a/scqtl/utils/test_pvalues.py b/tdbsumstat/utils/test_pvalues.py similarity index 100% rename from scqtl/utils/test_pvalues.py rename to tdbsumstat/utils/test_pvalues.py diff --git a/scqtl/utils/update_metadata.py b/tdbsumstat/utils/update_metadata.py similarity index 100% rename from scqtl/utils/update_metadata.py rename to tdbsumstat/utils/update_metadata.py From 836be8956dfe419f117b704629e22356cb68b59e Mon Sep 17 00:00:00 2001 From: bruno-ariano Date: Fri, 14 Nov 2025 16:08:55 +0100 Subject: [PATCH 35/61] Further modify the README --- README.md | 2 -- 1 file changed, 2 deletions(-) diff --git a/README.md b/README.md index 8fa43f2..ec07ce2 100755 --- a/README.md +++ b/README.md @@ -32,7 +32,5 @@ tdbsumstat --help #### To check how to use the Nextflow pipeline for extracting and ingesting data please refer here [HERE](https://github.com/HTGenomeAnalysisUnit/TileDB-sumstat/blob/nextflow_branch/docs/README) -#### To check how to use the standalone tdbsumstat program instead check here [HERE](https://github.com/HTGenomeAnalysisUnit/TileDB-sumstat/blob/nextflow_branch/docs/README) - From d14c16605870c76ba5a200325998d1aec88b233f Mon Sep 17 00:00:00 2001 From: bruno-ariano Date: Fri, 14 Nov 2025 16:09:22 +0100 Subject: [PATCH 36/61] Further modify the README --- README.md | 2 +- 1 file changed, 1 insertion(+), 1 deletion(-) diff --git a/README.md b/README.md index ec07ce2..b3e2b61 100755 --- a/README.md +++ b/README.md @@ -30,7 +30,7 @@ make install tdbsumstat --help -#### To check how to use the Nextflow pipeline for extracting and ingesting data please refer here [HERE](https://github.com/HTGenomeAnalysisUnit/TileDB-sumstat/blob/nextflow_branch/docs/README) +#### To check how to use the Nextflow pipeline for extracting and ingesting data please refer here [HERE](https://github.com/HTGenomeAnalysisUnit/TileDB-sumstat/blob/nextflow_branch/docs/README.md) From 80661b9d1568ee5f2704724fe00180278d30b78a Mon Sep 17 00:00:00 2001 From: bruno-ariano Date: Fri, 14 Nov 2025 16:11:40 +0100 Subject: [PATCH 37/61] Further modify the README --- docs/README.md | 217 +++++++++++++++++++++++++++++-------------------- 1 file changed, 131 insertions(+), 86 deletions(-) diff --git a/docs/README.md b/docs/README.md index dbf8659..3ddf4a5 100755 --- a/docs/README.md +++ b/docs/README.md @@ -1,110 +1,155 @@ -# TileDB for summary statistics analysis +# TileDB-sumstat -## Nextflow usage -This pipeline consists of 2 main subcommands called ingestion and export. The ingestion is used in import new data into an existing or a new TileDB while the export can be used to query the data and export it in a txt file. This program makes also optionally use of Nextlfow for speed-up the computation. +TileDB-sumstat is a Nextflow + Python toolkit for scalable ingestion and export of genetic association summary statistics (GWAS and single‑cell QTL). It uses TileDB as the underlying storage engine and provides pipelines and utilities to import, query and export summary statistics at scale. -# TileDB-sumstat +--- + +## Requirements + +Before running the pipeline, make sure you have: -TileDB-sumstat is a pipeline and toolkit for scalable **ingestion** and **export** of genetic association signals across large scale datasets for both GWAS and QTL(single cell) data. -Implemented using **Nextflow** **Python** and **TileDB** +- Nextflow (recommended v24.04+) +- Python (recommended 3.8+) +- TileDB (library/runtime as required by the Python TileDB package) +- Conda (the pipeline includes conda profiles for environment management) +- A working Slurm cluster (only if you use the `conda_slurm` profile) or a local environment + +See the repository main README for detailed environment setup and instructions to create the conda environments used by the pipeline. --- -## ✅ Requirements -Before running the pipeline, ensure you have the following installed: +## Quick start -- [Nextflow](https://www.nextflow.io/docs/latest/getstarted.html) (v24.04+) -- For environment management it uses the conda environment you can install following the instruction in the main README: -
+The pipeline exposes two primary workflows: ingestion and export. You can run either (or both) using Nextflow. +Examples below use `main.nf` and placeholder values — replace them with your actual paths and parameters. -## ▶️ Running the pipeline -### Example: Run SNPs extraction +Example: export SNPs ```bash -nextflow run main.nf -profile conda_slurm --export true --tiledb_path /path/to/tiledb --snp /path/to/snp --attrs attributes_list_string --out "out" --type_sumstat gwas(or qtl) --tiledb_batch_size number_of_batches_per_job +nextflow run main.nf -profile conda_slurm \ + --export true \ + --tiledb_path /path/to/tiledb \ + --snp /path/to/snp_list.csv \ + --attrs "BETA,SE,PVAL,EAF,A1,A2" \ + --out /path/to/output_prefix \ + --type_sumstat gwas \ + --tiledb_batch_size 100 ``` -An example of a SNP file table is in the example_data folder example_data/snp_list.csv +Example: export regions +```bash +nextflow run main.nf -profile conda \ + --export true \ + --tiledb_path /path/to/tiledb \ + --table-regions /path/to/regions_table.csv \ + --attrs "BETA,SE,PVAL" \ + --out /path/to/output_prefix \ + --type_sumstat gwas \ + --tiledb_batch_size 100 +``` -### Example: Run regions extraction +Example: ingestion of summary statistics ```bash -nextflow run main.nf -profile conda --export true --tiledb_path /path/to/tiledb --table-regions /path/to/snp --attrs attributes_list_string --out "out" --type_sumstat gwas(or qtl) --tiledb_batch_size number_of_batches_per_job +nextflow run main.nf -profile conda \ + --ingest true \ + --file_path_ingestion /path/to/files_table.csv \ + --mapping_file /path/to/mapping_file.tsv \ + --type_sumstat gwas \ + --qc false \ + --ingestion_chunk_files 4 ``` -An example of a SNP file table is in the example_data folder example_data/example_data_table.csv +- A mapping file maps observed column names in your input files to the standardized column names expected by TileDB-sumstat. See `example_data/mapping_file_test` for an example. +- A table listing files to ingest is provided in `example_data/example_data_table.csv`. +- Example SNP list: `example_data/snp_list.csv`. +- Example regions table: `example_data/example_data_table.csv`. -### Example: Run ingestion of sumstat +Quick test run (uses small test datasets/configs): ```bash -nextflow run main.nf -profile conda --ingest true --file_path_ingestion /path/to/file_ingestion --mapping_file path_for_mapping_file --type_sumstat gwas(or qtl) --qc false --ingestion_chunk_files 2 --tiledb_name "test" +nextflow run main.nf -profile test_export_lb,conda ``` -A mapping file provide a mapping between the observed column in the file and the one needed by TileDB. -An example of file like that is in example_data/mapping_file_test. +--- + +## Pipeline overview -An example of table with files to ingest is in example_data/example_data_table.csv. +TileDB-sumstat implements two main workflows executed in separate steps: -### Quick run with example dataset -```bash -nextflow run main.nf -profile test_export_lb,conda -``` -
- -## 🧠 Pipeline overview -TileDB-sumstat implement 2 methods for ingesting end querying summary statistics in 2 disctinct steps. -
-
-### Step 1: Ingestion -This part is to ingest summary in TileDB - -#### Required Inputs -Parameters | Description | - |-------|-------------| - | [file_path_ingestion] [List of GWAS summary statistics] A `.csv` file containing the path the summary statistics to ingests - | [mapping_file] [Mapping file] A mapping file containing the name of the column and supposed mapped ones - | [type_sumstat] [Type of summary statistics] This can be either a gwas or a qtl(for single cell) - | [qc] [Perform QC] This parameter perform QC on summary statistics prior ingestion - | [ingestion_chunk_files] [Number of summary stats in parallel] This dictate how many summary statistics to ingest in parallel - | [type_sumstaat] [gwas, qtl] - -** Note** -Check the example files in the folder -
- -### Step 2: Export -This part is to export summary in TileDB. There is in this step a series of common parameters and a series of specific one depending on which type of export you are doing (SNP/region or LocusBreaker) - -#### Common parameters -Parameters | Description | - | [export] [Activate export] A `.csv` file containing the path the summary statistics to ingests - | [tiledb_path] [Path for TileDB] A mapping file containing the name of the column and supposed mapped ones - | [attrs] [BETA,SE,PVAL,EAF,A1,A2] Attributes that are used in the export - | [tiledb_batch_size] [Divide the entire set of SNPs in batches] This dictate how many summary statistics to ingest in parallel - | [out] [Name of the output file] Depending on the batch defined a suffix is attached to this. - - -#### 2.1. Export SNP/Regions -- There are 2 options to export raw sumstat, either SNPs or regions. -Parameters | Description | - |-------|-------------| - | [snp] [Path of SNP] This can be either a gwas or a qtl(for single cell) - - -#### 2.1. Export Locusbreaker -- Identifies genomic regions containing significant associated SNPs by employing `Locusbreaker`, an in-house developed algorithm which defines each association peak based on the distance between the end of a peak and the start of the next one. - -Parameters | Description | - |-------|-------------| - | [maf_lb] The minor allele frequency filter to apply for locus-breaker - | [locus_max_size_lb] Max size of the LB region - | [hole_lb] Hole that define the distribution of the peak - | [cis_trans_lb] In case of qtl if filtering for either cis or trans (1Mb distance) - | [table_lb] A table containing the traits to perform LB on (check example_data/locusbreaker_test_table.csv) - -
-`Locusbreaker` first selects all SNPs below a given a p-value threshold (suggested value 1x10-6, customizable at the column `LIM` of the [table_lb] file), identifying groups of SNPs positionally close to each other. -
If two consecutive SNPs are closer to each other than a set distance threshold (250kb), they are grouped into the same locus, while if they are further apart than the distance threshold, they are used to define the boundaries between peaks. -
Loci with at least a significant SNPs (suggested value 5x10-8, customizable at the column `SIG` of the [table_lb] file). are retained and their boundaries are enlarged by 100kb to fully capture the shape of the association peak. -
-
+1. Ingestion — import summary statistics files into a TileDB array. +2. Export — query the TileDB array and export results by SNP, region or using the "Locusbreaker" algorithm. + +### Step 1 — Ingestion + +Purpose: ingest summary statistics files into TileDB. + +Required inputs and key parameters: + +| Parameter | Description | +|---|---| +| file_path_ingestion | CSV file listing summary-statistic files to ingest (paths). | +| mapping_file | Mapping file that maps columns in each input file to the standardized column names required by TileDB-sumstat. | +| type_sumstat | Type of summary statistics: `gwas` or `qtl` (single-cell QTL). | +| qc | Whether to perform QC before ingestion (`true`/`false`). | +| ingestion_chunk_files | Number of files to ingest in parallel (controls parallelism). | + +Notes: +- Check `example_data/` for sample ingestion tables and mapping files. +- Ensure the mapping file correctly maps input column names (e.g., SNP, CHR, POS, A1, A2, BETA, SE, PVAL, etc.) to expected internal names. + +### Step 2 — Export +Purpose: query TileDB and export summary statistics. There are common parameters and mode-specific parameters (SNP, region, or Locusbreaker). + +Common parameters: + +| Parameter | Description | +|---|---| +| export | Activate export workflow (`true`/`false`). | +| tiledb_path | Path to the TileDB dataset/array. | +| attrs | Comma-separated list of attributes to export (e.g., `BETA,SE,PVAL,EAF,A1,A2`). | +| tiledb_batch_size | Batch size for processing the set of SNPs or regions (controls memory/parallelism). | +| out | Output path or prefix. Batch runs append a suffix for each batch. | + +Export modes + +- SNP/Regions export: + - SNP export: provide `--snp /path/to/snp_list.csv` (list of SNP identifiers or positions). + - Regions export: provide `--table-regions /path/to/regions_table.csv` (table with regions to query). + +- Locusbreaker export: + - Locusbreaker identifies genomic loci with significant associations and exports locus-centric results (peaks). + - Parameters: + +| Parameter | Description | +|---|---| +| maf_lb | Minor allele frequency filter applied before locus calling. | +| locus_max_size_lb | Maximum allowed size for a Locusbreaker region (e.g., in base pairs). | +| hole_lb | Maximum allowed gap (in base pairs) inside a locus before splitting (defines peak continuity). | +| cis_trans_lb | For QTLs: choose whether to filter by cis or trans (e.g., cis = within 1Mb). | +| table_lb | Table listing traits / datasets to perform locus-breaking on (see `example_data/locusbreaker_test_table.csv`). | + +Locusbreaker algorithm (brief) +- Select SNPs below a given p-value threshold (suggested LIM = 1e-6). SNPs are grouped if consecutive SNPs are closer than a distance threshold (suggested 250 kb). +- Groups (putative loci) are retained if they contain at least one genome-wide significant SNP (suggested SIG = 5e-8). +- Locus boundaries can be expanded by a margin (e.g., +100 kb) to ensure full coverage of the association signal. +- Additional filters (MAF, maximum locus size, cis/trans selection for QTL) are applied during locus selection. + +--- + +## Examples and test data + +- example_data/snp_list.csv — example SNP list for SNP-based export. +- example_data/example_data_table.csv — example table used for regions and ingestion. +- example_data/mapping_file_test — example mapping file for ingestion. +- example_data/locusbreaker_test_table.csv — example table for running Locusbreaker. + +--- + +## Support and contribution + +If you find issues, please open an issue in the repository with a reproducible example and any error messages. Contributions are welcome — please open a pull request against the `main` branch and follow the repository contribution guidelines. + +--- +If you'd like, I can open a pull request that replaces the current docs/README.md with this cleaned and corrected version. Would you like me to create that PR? +``` \ No newline at end of file From f6af6675f7f3a5cf7d08d356de14be92ab429f93 Mon Sep 17 00:00:00 2001 From: bruno-ariano Date: Fri, 14 Nov 2025 17:47:04 +0100 Subject: [PATCH 38/61] Further modify the README --- modules/ingestion/main.nf | 2 +- modules/locusbreaker/main.nf | 2 +- modules/merge_metadata/main.nf | 2 +- modules/regions/main.nf | 2 +- modules/snp/main.nf | 2 - nextflow.config | 67 +++++++++++++++++++++------------- 6 files changed, 45 insertions(+), 32 deletions(-) diff --git a/modules/ingestion/main.nf b/modules/ingestion/main.nf index 9c375de..484a06f 100644 --- a/modules/ingestion/main.nf +++ b/modules/ingestion/main.nf @@ -2,7 +2,7 @@ process INGEST_DATA { label "process_multi" - conda '/ssu/gassu/conda_envs/tdbsumstat' + conda 'tdbsumstat' publishDir "${params.outdir}/TileDB/", mode: 'copy' diff --git a/modules/locusbreaker/main.nf b/modules/locusbreaker/main.nf index 19c1a77..e89c631 100644 --- a/modules/locusbreaker/main.nf +++ b/modules/locusbreaker/main.nf @@ -2,7 +2,7 @@ process EXPORT_LOCUSBREAKER { label "process_multi" - conda '/ssu/gassu/conda_envs/tdbsumstat' + conda 'tdbsumstat' publishDir "${params.outdir}/gwas_and_loci_tables", mode: params.publish_dir_mode diff --git a/modules/merge_metadata/main.nf b/modules/merge_metadata/main.nf index 9aa3f62..a23cdec 100644 --- a/modules/merge_metadata/main.nf +++ b/modules/merge_metadata/main.nf @@ -1,6 +1,6 @@ process MERGE_METADATA { label "process_single" - conda '/ssu/gassu/conda_envs/tdbsumstat' + conda 'tdbsumstat' publishDir "${params.outdir}/TileDB/", mode: 'copy' input: diff --git a/modules/regions/main.nf b/modules/regions/main.nf index fd0e409..a7f11c6 100644 --- a/modules/regions/main.nf +++ b/modules/regions/main.nf @@ -2,7 +2,7 @@ process EXPORT_REGIONS { label "process_multi" - conda '/ssu/gassu/conda_envs/tdbsumstat' + conda 'tdbsumstat' //conda '/software/cardinal_analysis/ht/conda_envs/tdbsumstat' publishDir "${params.outdir}/results/gwas_and_loci_tables/", mode: params.publish_dir_mode diff --git a/modules/snp/main.nf b/modules/snp/main.nf index e48a5b2..fd8fe07 100644 --- a/modules/snp/main.nf +++ b/modules/snp/main.nf @@ -1,8 +1,6 @@ #!/usr/bin/env nextflow process EXPORT_SNP { - label "process_multi" - conda '/ssu/gassu/conda_envs/tdbsumstat' publishDir "${params.outdir}/snp_table", mode: params.publish_dir_mode diff --git a/nextflow.config b/nextflow.config index a586127..53882b7 100644 --- a/nextflow.config +++ b/nextflow.config @@ -122,36 +122,51 @@ profiles { wave.freeze = true wave.strategy = 'conda,container' } - - // Combine SLURM with conda slurm_conda { - process { - executor = 'slurm' - queue = 'cpuq' - - cpus = 1 - memory = '6 GB' - time = '1h' - memory = '16 GB' - - withLabel: 'process_multi' { - cpus = 6 - memory = '16 GB' - time = '2h' - } - } - - conda.enabled = true - conda.channels = ['conda-forge', 'bioconda'] + conda.enabled = true + conda.channels = ['conda-forge', 'bioconda'] + executor { + name = 'slurm' + queueSize = 50 + } + process { + scratch = true + shell = ['/bin/bash', '-euo', 'pipefail'] - executor { - name = 'slurm' - queueSize = 50 + // Disable conda for EXPORT_SNP process + withName: 'EXPORT_SNP' { + conda = null } + + beforeScript = ''' + # Your existing conda activation script + if [ -f ~/.bashrc ]; then + source ~/.bashrc + fi + + if command -v conda >/dev/null 2>&1; then + CONDA_BASE=$(conda info --base 2>/dev/null || true) + if [ -n "$CONDA_BASE" ] && [ -f "$CONDA_BASE/etc/profile.d/conda.sh" ]; then + source "$CONDA_BASE/etc/profile.d/conda.sh" || true + if conda env list | awk '{print $1}' | grep -qE '^tdbsumstat$'; then + conda activate tdbsumstat || true + fi + fi + fi + + if [ -n "${TDBSUMSTAT_HOME:-}" ]; then + export PATH="${TDBSUMSTAT_HOME%/}/bin:$PATH" + fi + + if [ -n "${TDBSUMSTAT_FALLBACK_BIN:-}" ]; then + export PATH="${TDBSUMSTAT_FALLBACK_BIN%/}:$PATH" + fi + '''.stripIndent() + } } - test { includeConfig 'conf/test.config' } - test_export_lb { includeConfig 'conf/test.config' } - test_export_snp { includeConfig 'conf/test.config' } + test { includeConfig 'conf/test.config'; } + test_export_lb { includeConfig 'conf/test.config'; } + test_export_snp { includeConfig 'conf/test.config'; } } // Set filename and location for timeline, report, trace and dag From 72109a72ff5217a2e15dce5e8abca3757823a03f Mon Sep 17 00:00:00 2001 From: bruno-ariano Date: Wed, 19 Nov 2025 15:28:22 +0100 Subject: [PATCH 39/61] Adjust export snp --- TileDB_test_metadata.csv | 172 ++++++++++++++++++++++ conf/base.config | 13 +- conf/test.config | 2 +- main.nf | 22 ++- modules/create_tiledb/main.nf | 7 +- modules/ingestion/main.nf | 4 +- modules/locusbreaker/main.nf | 4 +- modules/merge_metadata/main.nf | 3 +- modules/regions/main.nf | 3 +- modules/snp/main.nf | 39 ++--- nextflow.config | 260 +++++++++++++++++---------------- tdbsumstat/cli/export.py | 20 ++- 12 files changed, 360 insertions(+), 189 deletions(-) create mode 100644 TileDB_test_metadata.csv diff --git a/TileDB_test_metadata.csv b/TileDB_test_metadata.csv new file mode 100644 index 0000000..06b2bc3 --- /dev/null +++ b/TileDB_test_metadata.csv @@ -0,0 +1,172 @@ +CHR,CELL,GENE,ACAT,N,PHENO_VAR +6,B_naive,ENSG00000001167,0.9799208097860764,4346.0,1.0 +6,B_naive,ENSG00000001084,0.9759033460616318,4346.0,1.0 +6,B_naive,ENSG00000001036,0.9831230023620562,4346.0,1.0 +1,B_naive,ENSG00000000938,0.872820174529933,4346.0,1.0 +1,B_naive,ENSG00000000457,0.9743914577040915,4346.0,1.0 +1,B_naive,ENSG00000000971,0.9900120972261289,4346.0,1.0 +1,B_naive,ENSG00000000460,0.9769338686567302,4346.0,1.0 +1,B_naive,ENSG00000001460,0.9863489502668331,4346.0,1.0 +1,B_naive,ENSG00000001461,1.2130516371110506e-11,4346.0,1.0 +6,B_memory_IGHMlow,ENSG00000001167,0.9872937627253173,2189.0,1.0 +6,B_memory_IGHMlow,ENSG00000001084,0.9855984146575631,2189.0,1.0 +6,B_memory_IGHMlow,ENSG00000001036,0.9877942553875572,2189.0,1.0 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maxRetries = 3 withLabel:process_single { - cpus = { 1 } + cpus = { 2 } memory = { 8.GB * task.attempt } time = { 1.h * task.attempt } } withLabel:process_low { - cpus = { 1 * task.attempt } + cpus = { 4 * task.attempt } memory = { 12.GB * task.attempt } time = { 1.h * task.attempt } } withLabel:process_medium { - cpus = { 1 * task.attempt } + cpus = { 6 * task.attempt } memory = { 24.GB * task.attempt } time = { 3.h * task.attempt } } withLabel:process_high { - cpus = { 1 * task.attempt } + cpus = { 8 * task.attempt } memory = { 32.GB * task.attempt } time = { 5.h * task.attempt } } withLabel:process_long { time = { 12.h * task.attempt } } - withLabel:process_multi { - cpus = { 6 * task.attempt } - memory = { 30.GB * task.attempt } - time = { 4.h * task.attempt } - } withLabel:process_high_memory { memory = { 64.GB * task.attempt } } diff --git a/conf/test.config b/conf/test.config index 9c0012e..9d904e1 100644 --- a/conf/test.config +++ b/conf/test.config @@ -38,7 +38,7 @@ profiles { params { export = true tiledb_path = "/project/cardinal/QTLs/freeze3/TileDBs/ukb_cis/TileDB_f3_UKB_cis_celltype2" - snp = "/group/soranzo/bruno.ariano/snps_ale.csv" + snp = "/group/soranzo/alessandro.raveane/cardinal_coloc/current_analyses/between_population_diseaseF3/result_processing/tables/mostlikleysnp_gh_all_25_11_17.csv" attrs = "SE,BETA" out = "out" type_sumstat = "qtl" diff --git a/main.nf b/main.nf index 8c0120e..36ec0d4 100644 --- a/main.nf +++ b/main.nf @@ -25,18 +25,16 @@ workflow { // The final output will be in merged_metadata.tiledb_final } if (params.export){ - if (params.snp){ - Channel.fromPath(params.snp, checkIfExists:true) - .splitText(by: params.tiledb_batch_size, keepHeader: true, file: true) - .map { batch_file -> - def batch_index = (batch_file.name =~ /\.(\d+)\.csv$/)[0][1] - tuple(batch_index, batch_file) - }.set { tiledb_metadata_batches } - - tiledb_metadata_batches.view() - - EXPORT_SNP(tiledb_metadata_batches) - + if (params.snp) { + Channel + .fromPath(params.snp, checkIfExists: true) + .splitCsv(header: true) + .map { row -> + tuple(row.CHR, row) + } + .groupTuple() + .set { tiledb_metadata_batches } + EXPORT_SNP(tiledb_metadata_batches) } if (params.regions){ diff --git a/modules/create_tiledb/main.nf b/modules/create_tiledb/main.nf index 2556aeb..f4953dd 100644 --- a/modules/create_tiledb/main.nf +++ b/modules/create_tiledb/main.nf @@ -1,8 +1,7 @@ #!/usr/bin/env nextflow process CREATE_TILEDB { - label "process_single" - conda '/ssu/gassu/conda_envs/tdbsumstat' + label "process_high" publishDir "${params.outdir}/TileDB/", mode: 'copy' input: @@ -16,11 +15,11 @@ process CREATE_TILEDB { // Define the shell script to execute script: """ - touch dummy_file - tdbsumstat ingest --uri-path TileDB_${params.tiledb_name} \ --create-tiledb \ --mapping-file ${mapping_file} \ --type-sumstat ${params.type_sumstat} + + touch dummy_file """ } \ No newline at end of file diff --git a/modules/ingestion/main.nf b/modules/ingestion/main.nf index 484a06f..b1746a4 100644 --- a/modules/ingestion/main.nf +++ b/modules/ingestion/main.nf @@ -1,8 +1,7 @@ #!/usr/bin/env nextflow process INGEST_DATA { - label "process_multi" - conda 'tdbsumstat' + label "process_high" publishDir "${params.outdir}/TileDB/", mode: 'copy' @@ -36,5 +35,6 @@ process INGEST_DATA { # Create a dummy file to signal completion touch ingestion_complete_${list_files.name} + rm -rf ${tiledb}_metadata_parts """ } diff --git a/modules/locusbreaker/main.nf b/modules/locusbreaker/main.nf index e89c631..6db2883 100644 --- a/modules/locusbreaker/main.nf +++ b/modules/locusbreaker/main.nf @@ -1,9 +1,7 @@ #!/usr/bin/env nextflow process EXPORT_LOCUSBREAKER { - label "process_multi" - conda 'tdbsumstat' - + label "process_high" publishDir "${params.outdir}/gwas_and_loci_tables", mode: params.publish_dir_mode diff --git a/modules/merge_metadata/main.nf b/modules/merge_metadata/main.nf index a23cdec..04a1d5c 100644 --- a/modules/merge_metadata/main.nf +++ b/modules/merge_metadata/main.nf @@ -1,6 +1,5 @@ process MERGE_METADATA { - label "process_single" - conda 'tdbsumstat' + label "process_high" publishDir "${params.outdir}/TileDB/", mode: 'copy' input: diff --git a/modules/regions/main.nf b/modules/regions/main.nf index a7f11c6..a492d46 100644 --- a/modules/regions/main.nf +++ b/modules/regions/main.nf @@ -1,8 +1,7 @@ #!/usr/bin/env nextflow process EXPORT_REGIONS { - label "process_multi" - conda 'tdbsumstat' + label "process_high" //conda '/software/cardinal_analysis/ht/conda_envs/tdbsumstat' publishDir "${params.outdir}/results/gwas_and_loci_tables/", mode: params.publish_dir_mode diff --git a/modules/snp/main.nf b/modules/snp/main.nf index fd8fe07..5488749 100644 --- a/modules/snp/main.nf +++ b/modules/snp/main.nf @@ -1,27 +1,32 @@ -#!/usr/bin/env nextflow - process EXPORT_SNP { + label "process_high" + publishDir "${params.outdir}/snp_table", mode: params.publish_dir_mode - publishDir "${params.outdir}/snp_table", mode: params.publish_dir_mode - - -// Define input - input: - tuple val(batch_index), path(snps_list_table) + // Define input + input: + tuple val(chr), val(rows) -// Define output - output: - path("*_batch_*.csv"), emit:snp_tdb_positions, optional: true + // Define output + output: + path("*_batch_*.csv"), emit: snp_tdb_positions, optional: true -// Define the shell script to execute - script: + // Define the shell script to execute + script: + // Create the complete CSV content as a Groovy string + def csvContent = "CHR,POS,TRAIT\n" + rows.collect { "${it.CHR},${it.POS},${it.TRAIT}" }.join('\n') + """ + # Write the complete CSV file + cat << 'EOF' > batch_${chr}.csv +${csvContent} +EOF + + # Run the tdbsumstat command tdbsumstat export \ - --snp ${snps_list_table} \ + --snp batch_${chr}.csv \ --attr ${params.attrs} \ --tiledb-path ${params.tiledb_path} \ --out ${params.out} \ - --type-sumstat ${params.type_sumstat} \ - --batch-name ${batch_index} + --type-sumstat ${params.type_sumstat} """ -} +} \ No newline at end of file diff --git a/nextflow.config b/nextflow.config index 53882b7..59e3e61 100644 --- a/nextflow.config +++ b/nextflow.config @@ -1,8 +1,7 @@ params { // -- TileDB general -- - tiledb_name = null - type_sumstat =null + type_sumstat = null // -- TileDB ingestion -- ingest = null @@ -14,7 +13,7 @@ params { outdir = "./results" publish_dir_mode = 'copy' - // -- TileDB export + // -- TileDB export -- export = null attrs = "P,SNPID,EAF,BETA,SE" tiledb_path = null @@ -32,169 +31,172 @@ params { tiledb_batch_size = null batch_name_lb = null + // Config options (like your colleague) + custom_config_version = 'master' + custom_config_base = "https://raw.githubusercontent.com/nf-core/configs/${params.custom_config_version}" + config_profile_description = null + config_profile_contact = null + config_profile_url = null + config_profile_name = null +} + +// Load nf-core custom profiles from different Institutions +try { + includeConfig "${params.custom_config_base}/nfcore_custom.config" +} catch (Exception e) { + System.err.println("WARNING: Could not load nf-core/config profiles: ${params.custom_config_base}/nfcore_custom.config") } + +// Load base.config by default includeConfig 'conf/base.config' -// Computational environments +// Load nf-core institutional configs (like your colleague) +try { + includeConfig "${params.custom_config_base}/nfcore_custom.config" +} catch (Exception e) { + System.err.println("WARNING: Could not load nf-core/config profiles: ${params.custom_config_base}/nfcore_custom.config") +} + +// Global process configuration for tdbsumstat +process { + shell = ['/bin/bash', '-euo', 'pipefail'] + errorStrategy = 'retry' + maxRetries = 2 + + // Setup tdbsumstat environment for all processes + beforeScript = ''' + # Setup tdbsumstat environment + if [ -f ~/.bashrc ]; then + source ~/.bashrc + fi + + if command -v conda >/dev/null 2>&1; then + CONDA_BASE=$(conda info --base 2>/dev/null || true) + if [ -n "$CONDA_BASE" ] && [ -f "$CONDA_BASE/etc/profile.d/conda.sh" ]; then + source "$CONDA_BASE/etc/profile.d/conda.sh" || true + if conda env list | awk '{print $1}' | grep -qE '^tdbsumstat$'; then + conda activate tdbsumstat || true + fi + fi + fi + + if [ -n "${TDBSUMSTAT_HOME:-}" ]; then + export PATH="${TDBSUMSTAT_HOME%/}/bin:$PATH" + fi + + if [ -n "${TDBSUMSTAT_FALLBACK_BIN:-}" ]; then + export PATH="${TDBSUMSTAT_FALLBACK_BIN%/}:$PATH" + fi + '''.stripIndent() + + // Disable conda for your tdbsumstat processes + withName: 'EXPORT_SNP|CREATE_TILEDB|INGEST_DATA|LOCUSBREAKER|QC_PROCESS|MERGE_METADATA' { + conda = null + } +} + +// Standard profiles (like your colleague) profiles { conda { - conda.enabled = true - docker.enabled = false - singularity.enabled = false - podman.enabled = false - shifter.enabled = false - charliecloud.enabled = false - conda.channels = ['conda-forge', 'bioconda'] - apptainer.enabled = false + conda.enabled = true + conda.channels = ['conda-forge', 'bioconda'] + docker.enabled = false + singularity.enabled = false + podman.enabled = false + shifter.enabled = false + charliecloud.enabled = false + apptainer.enabled = false } + mamba { - conda.enabled = true - conda.useMamba = true - docker.enabled = false - singularity.enabled = false - podman.enabled = false - shifter.enabled = false - charliecloud.enabled = false - apptainer.enabled = false + conda.enabled = true + conda.useMamba = true + conda.channels = ['conda-forge', 'bioconda'] + docker.enabled = false + singularity.enabled = false + podman.enabled = false + shifter.enabled = false + charliecloud.enabled = false + apptainer.enabled = false } + docker { - docker.enabled = true - conda.enabled = false - singularity.enabled = false - podman.enabled = false - shifter.enabled = false - charliecloud.enabled = false - apptainer.enabled = false - docker.runOptions = '-u $(id -u):$(id -g)' + docker.enabled = true + docker.runOptions = '-u $(id -u):$(id -g)' + conda.enabled = false + singularity.enabled = false + podman.enabled = false + shifter.enabled = false + charliecloud.enabled = false + apptainer.enabled = false } + singularity { - singularity.enabled = true - singularity.autoMounts = true - conda.enabled = false - docker.enabled = false - podman.enabled = false - shifter.enabled = false - charliecloud.enabled = false - apptainer.enabled = false - } - podman { - podman.enabled = true - conda.enabled = false - docker.enabled = false - singularity.enabled = false - shifter.enabled = false - charliecloud.enabled = false - apptainer.enabled = false - } - shifter { - shifter.enabled = true - conda.enabled = false - docker.enabled = false - singularity.enabled = false - podman.enabled = false - charliecloud.enabled = false - apptainer.enabled = false - } - charliecloud { - charliecloud.enabled = true - conda.enabled = false - docker.enabled = false - singularity.enabled = false - podman.enabled = false - shifter.enabled = false - apptainer.enabled = false + singularity.enabled = true + singularity.autoMounts = true + conda.enabled = false + docker.enabled = false + podman.enabled = false + shifter.enabled = false + charliecloud.enabled = false + apptainer.enabled = false } + apptainer { - apptainer.enabled = true - apptainer.autoMounts = true - conda.enabled = false - docker.enabled = false - singularity.enabled = false - podman.enabled = false - shifter.enabled = false - charliecloud.enabled = false + apptainer.enabled = true + apptainer.autoMounts = true + conda.enabled = false + docker.enabled = false + singularity.enabled = false + podman.enabled = false + shifter.enabled = false + charliecloud.enabled = false } + wave { - apptainer.ociAutoPull = true + apptainer.ociAutoPull = true singularity.ociAutoPull = true - wave.enabled = true - wave.freeze = true - wave.strategy = 'conda,container' + wave.enabled = true + wave.freeze = true + wave.strategy = 'conda,container' } - slurm_conda { - conda.enabled = true - conda.channels = ['conda-forge', 'bioconda'] - executor { - name = 'slurm' - queueSize = 50 - } - process { - scratch = true - shell = ['/bin/bash', '-euo', 'pipefail'] - - // Disable conda for EXPORT_SNP process - withName: 'EXPORT_SNP' { - conda = null - } - - beforeScript = ''' - # Your existing conda activation script - if [ -f ~/.bashrc ]; then - source ~/.bashrc - fi - - if command -v conda >/dev/null 2>&1; then - CONDA_BASE=$(conda info --base 2>/dev/null || true) - if [ -n "$CONDA_BASE" ] && [ -f "$CONDA_BASE/etc/profile.d/conda.sh" ]; then - source "$CONDA_BASE/etc/profile.d/conda.sh" || true - if conda env list | awk '{print $1}' | grep -qE '^tdbsumstat$'; then - conda activate tdbsumstat || true - fi - fi - fi - - if [ -n "${TDBSUMSTAT_HOME:-}" ]; then - export PATH="${TDBSUMSTAT_HOME%/}/bin:$PATH" - fi - - if [ -n "${TDBSUMSTAT_FALLBACK_BIN:-}" ]; then - export PATH="${TDBSUMSTAT_FALLBACK_BIN%/}:$PATH" - fi - '''.stripIndent() - } - } - test { includeConfig 'conf/test.config'; } - test_export_lb { includeConfig 'conf/test.config'; } - test_export_snp { includeConfig 'conf/test.config'; } + + test_ingest { includeConfig 'conf/test.config' } + test_export_lb { includeConfig 'conf/test.config' } + test_export_snp { includeConfig 'conf/test.config' } } -// Set filename and location for timeline, report, trace and dag -def trace_timestamp = new java.util.Date().format( 'yyyy-MM-dd_HH-mm-ss') +// Execution reporting +def trace_timestamp = new java.util.Date().format('yyyy-MM-dd_HH-mm-ss') + timeline { enabled = true - file = "${params.outdir}/pipeline_info/execution_timeline_${trace_timestamp}.html" + file = "${params.outdir}/pipeline_info/execution_timeline_${trace_timestamp}.html" } + report { enabled = true - file = "${params.outdir}/pipeline_info/execution_report_${trace_timestamp}.html" + file = "${params.outdir}/pipeline_info/execution_report_${trace_timestamp}.html" } + trace { enabled = true - file = "${params.outdir}/pipeline_info/execution_trace_${trace_timestamp}.txt" + file = "${params.outdir}/pipeline_info/execution_trace_${trace_timestamp}.txt" } + dag { enabled = true - file = "${params.outdir}/pipeline_info/pipeline_dag_${trace_timestamp}.html" + file = "${params.outdir}/pipeline_info/pipeline_dag_${trace_timestamp}.html" } manifest { name = 'TileDB-Sumstat' - author = """Bruno Ariano""" + author = 'Bruno Ariano' homePage = 'https://github.com/HTGenomeAnalysisUnit/TileDB-sumstat.git' - description = """Pipeline to store and Query summary statistics data""" + description = 'Pipeline to store and query summary statistics data' mainScript = 'main.nf' nextflowVersion = '!>=24.04' version = '0.1.0' doi = '' -} +} \ No newline at end of file diff --git a/tdbsumstat/cli/export.py b/tdbsumstat/cli/export.py index e6e2b8c..505b994 100755 --- a/tdbsumstat/cli/export.py +++ b/tdbsumstat/cli/export.py @@ -106,21 +106,25 @@ def export( if type_sumstat == "gwas": snp_list_refined = snp_list[(snp_list['CHR']==chrom) & (snp_list['TRAIT']==trait)]['POS'].unique().tolist() else: - snp_list_refined = snp_list[(snp_list['CHR']==chrom) & (snp_list['TRAIT']==trait)]['POS'].unique().tolist() + snp_list_refined = snp_list[(snp_list['CHR']==chrom) & (snp_list['CELL']==trait)]['POS'].unique().tolist() + gene_list = snp_list[(snp_list['CHR']==chrom) & (snp_list['CELL']==trait)]['GENE'].unique().tolist() if type_sumstat == "gwas": tiledb_query = tiledb_export.query( - attrs=attr.split(",") - ).df[chrom, trait ,snp_list_refined] + attrs=attr.split(","), + return_arrow = True + ).df[chrom, trait , :] + tiledb_query_pl = pl.from_arrow(tiledb_query) + tiledb_query_pl = tiledb_query_pl.filter(pl.col("POS").is_in(snp_list_refined)) else: tiledb_query = tiledb_export.query( attrs=attr.split(",") - ).df[chrom, trait , :, snp_list_refined] - tiledb_query["TRAIT"] = tiledb_query["CELL"] + ":" + tiledb_query["GENE"] - tiledb_query = tiledb_query.drop(['CELL', 'GENE'], axis = 1) - merged_df = tiledb_query.merge(snp_list.drop(['CELL','GENE'], axis = 1), on = ["CHR","TRAIT", "POS"]) + ).df[chrom, trait , gene_list, :] + tiledb_query_pl = pl.from_arrow(tiledb_query) + tiledb_query_pl = tiledb_query_pl.filter(pl.col("POS").is_in(snp_list_refined)) + tiledb_query_pd = tiledb_query_pl.drop(["CELL", "GENE"], axis=1) if not batch_name: batch_name = random.randint(1, 10000000) - merged_df.to_csv(f"{out}_batch_{batch_name}.csv", mode="a", index=False, header = False) + tiledb_query_pd.to_csv(f"{out}_batch_{batch_name}.csv", mode="a", index=False, header = False) elif table_regions: pd_region = pd.read_csv(table_regions) counter_nonempty_region = 0 From 64c9abd34d4bbe23bf2d156b744c4740ee3da880 Mon Sep 17 00:00:00 2001 From: bruno-ariano Date: Wed, 19 Nov 2025 15:29:47 +0100 Subject: [PATCH 40/61] Adjust export snp --- conf/test.config | 1 - 1 file changed, 1 deletion(-) diff --git a/conf/test.config b/conf/test.config index 9d904e1..e0c950e 100644 --- a/conf/test.config +++ b/conf/test.config @@ -42,7 +42,6 @@ profiles { attrs = "SE,BETA" out = "out" type_sumstat = "qtl" - tiledb_batch_size = 500 outdir = "./results" // Add this missing parameter publish_dir_mode = 'copy' // Add this missing parameter } From 970a94a71b4cc3cf8c3d6228f582f387826bb428 Mon Sep 17 00:00:00 2001 From: bruno-ariano Date: Thu, 20 Nov 2025 16:23:45 +0100 Subject: [PATCH 41/61] Fix export and igestion --- TileDB_test_metadata.csv | 172 -------------------------------------- conf/base.config | 3 +- modules/ingestion/main.nf | 2 +- nextflow.config | 33 +------- tdbsumstat/cli/export.py | 6 +- 5 files changed, 6 insertions(+), 210 deletions(-) delete mode 100644 TileDB_test_metadata.csv diff --git a/TileDB_test_metadata.csv b/TileDB_test_metadata.csv deleted file mode 100644 index 06b2bc3..0000000 --- a/TileDB_test_metadata.csv +++ /dev/null @@ -1,172 +0,0 @@ -CHR,CELL,GENE,ACAT,N,PHENO_VAR -6,B_naive,ENSG00000001167,0.9799208097860764,4346.0,1.0 -6,B_naive,ENSG00000001084,0.9759033460616318,4346.0,1.0 -6,B_naive,ENSG00000001036,0.9831230023620562,4346.0,1.0 -1,B_naive,ENSG00000000938,0.872820174529933,4346.0,1.0 -1,B_naive,ENSG00000000457,0.9743914577040915,4346.0,1.0 -1,B_naive,ENSG00000000971,0.9900120972261289,4346.0,1.0 -1,B_naive,ENSG00000000460,0.9769338686567302,4346.0,1.0 -1,B_naive,ENSG00000001460,0.9863489502668331,4346.0,1.0 -1,B_naive,ENSG00000001461,1.2130516371110506e-11,4346.0,1.0 -6,B_memory_IGHMlow,ENSG00000001167,0.9872937627253173,2189.0,1.0 -6,B_memory_IGHMlow,ENSG00000001084,0.9855984146575631,2189.0,1.0 -6,B_memory_IGHMlow,ENSG00000001036,0.9877942553875572,2189.0,1.0 -1,B_memory_IGHMlow,ENSG00000000938,0.9861216021940952,2189.0,1.0 -1,B_memory_IGHMlow,ENSG00000000457,0.9737641256500971,2189.0,1.0 -1,B_memory_IGHMlow,ENSG00000000971,0.9835853496807114,2189.0,1.0 -1,B_memory_IGHMlow,ENSG00000000460,0.9802455164433693,2189.0,1.0 -1,B_memory_IGHMlow,ENSG00000001460,0.9904146554206098,2189.0,1.0 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-6,T_CD8_naive,ENSG00000001084,0.9788834383283601,3664.0,1.0 -6,T_CD8_naive,ENSG00000001036,0.9900700598570905,3664.0,1.0 -1,T_CD8_naive,ENSG00000000938,0.9822885992887195,3664.0,1.0 -1,T_CD8_naive,ENSG00000000457,0.0001096362938769367,3664.0,1.0 -1,T_CD8_naive,ENSG00000000971,0.9834591639543716,3664.0,1.0 -1,T_CD8_naive,ENSG00000000460,0.9632675027445317,3664.0,1.0 -1,T_CD8_naive,ENSG00000001460,0.9747691933038533,3664.0,1.0 -1,T_CD8_naive,ENSG00000001461,0.0015347570377285682,3664.0,1.0 -6,T_gd,ENSG00000001167,0.9773743325119807,1729.0,1.0 -6,T_gd,ENSG00000001084,0.9720946480463143,1729.0,1.0 -6,T_gd,ENSG00000001036,0.9808356259782417,1729.0,1.0 -1,T_gd,ENSG00000000938,0.9816484688081093,1729.0,1.0 -1,T_gd,ENSG00000000457,0.03816615678075732,1729.0,1.0 -1,T_gd,ENSG00000000971,0.970908930004902,1729.0,1.0 -1,T_gd,ENSG00000000460,0.9806900684083915,1729.0,1.0 -1,T_gd,ENSG00000001460,0.9905772264489342,1729.0,1.0 -1,T_gd,ENSG00000001461,0.9796644537287362,1729.0,1.0 -6,T_MAIT,ENSG00000001167,0.990013133168193,2907.0,1.0 -6,T_MAIT,ENSG00000001084,0.9700624020553891,2907.0,1.0 -6,T_MAIT,ENSG00000001036,0.9808642046227722,2907.0,1.0 -1,T_MAIT,ENSG00000000938,0.9813219651366182,2907.0,1.0 -1,T_MAIT,ENSG00000000457,0.0132229788463373,2907.0,1.0 -1,T_MAIT,ENSG00000000971,0.023060130997504993,2907.0,1.0 -1,T_MAIT,ENSG00000000460,0.9732857198360846,2907.0,1.0 -1,T_MAIT,ENSG00000001460,0.9803261976825691,2907.0,1.0 -1,T_MAIT,ENSG00000001461,0.9801386024899322,2907.0,1.0 -6,Monocyte_CD14,ENSG00000001167,0.001144731019403577,4915.0,1.0 -6,Monocyte_CD14,ENSG00000001084,2.4568027838220463e-21,4915.0,1.0 -6,Monocyte_CD14,ENSG00000001036,1.5521140706189466e-21,4915.0,1.0 -1,Monocyte_CD14,ENSG00000000938,1.4778695482747267e-11,4915.0,1.0 -1,Monocyte_CD14,ENSG00000000457,0.0009712596534001628,4915.0,1.0 -1,Monocyte_CD14,ENSG00000000971,0.9823779972578679,4915.0,1.0 -1,Monocyte_CD14,ENSG00000000460,1.0367993193607381e-13,4915.0,1.0 -1,Monocyte_CD14,ENSG00000001460,0.07218797726143052,4915.0,1.0 -1,Monocyte_CD14,ENSG00000001461,5.917489290051091e-09,4915.0,1.0 -6,T_CD8_EM,ENSG00000001167,0.004371742579168819,4708.0,1.0 -6,T_CD8_EM,ENSG00000001084,0.9737824462678761,4708.0,1.0 -6,T_CD8_EM,ENSG00000001036,0.9798438329294668,4708.0,1.0 -1,T_CD8_EM,ENSG00000000938,0.9823035176845962,4708.0,1.0 -1,T_CD8_EM,ENSG00000000457,1.2145456024209822e-11,4708.0,1.0 -1,T_CD8_EM,ENSG00000000971,0.0003073306729543066,4708.0,1.0 -1,T_CD8_EM,ENSG00000000460,0.9245179225040935,4708.0,1.0 -1,T_CD8_EM,ENSG00000001460,0.9729625461251538,4708.0,1.0 -1,T_CD8_EM,ENSG00000001461,1.5452661852431735e-06,4708.0,1.0 -6,Monocyte_CD16,ENSG00000001167,0.002243363663315643,4517.0,1.0 -6,Monocyte_CD16,ENSG00000001084,3.4809849788752146e-54,4517.0,1.0 -6,Monocyte_CD16,ENSG00000001036,3.0732734851318586e-05,4517.0,1.0 -1,Monocyte_CD16,ENSG00000000938,3.244702956627295e-15,4517.0,1.0 -1,Monocyte_CD16,ENSG00000000457,0.020611793937375385,4517.0,1.0 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-6,T_CD4_CM,ENSG00000001084,0.037239013611385,4847.0,1.0 -6,T_CD4_CM,ENSG00000001036,0.9805996902287052,4847.0,1.0 -1,T_CD4_CM,ENSG00000000938,0.9755850772665544,4847.0,1.0 -1,T_CD4_CM,ENSG00000000457,5.043598872603018e-19,4847.0,1.0 -1,T_CD4_CM,ENSG00000000971,3.254272015242965e-05,4847.0,1.0 -1,T_CD4_CM,ENSG00000000460,6.692054042430337e-06,4847.0,1.0 -1,T_CD4_CM,ENSG00000001460,0.0027995538779061213,4847.0,1.0 -1,T_CD4_CM,ENSG00000001461,4.1321449839240855e-19,4847.0,1.0 diff --git a/conf/base.config b/conf/base.config index 61939be..97f7070 100644 --- a/conf/base.config +++ b/conf/base.config @@ -1,7 +1,6 @@ process { - conda = "/ssu/gassu/conda_envs/flanders_3.2" + conda = "/ssu/gassu/conda_envs/tdbsumstat" // conda = "${projectDir}/pipeline_environment.yml" - container = "htgenomeanalysisunit/flanders:3.0.1" // memory errors which should be retried. otherwise error out errorStrategy = { task.exitStatus in ((130..145) + 104) ? 'retry' : 'finish' } diff --git a/modules/ingestion/main.nf b/modules/ingestion/main.nf index b1746a4..999c5bb 100644 --- a/modules/ingestion/main.nf +++ b/modules/ingestion/main.nf @@ -2,7 +2,7 @@ process INGEST_DATA { label "process_high" - publishDir "${params.outdir}/TileDB/", mode: 'copy' + publishDir "${params.outdir}/TileDB/", mode: 'link' // Define input diff --git a/nextflow.config b/nextflow.config index 59e3e61..b74dacc 100644 --- a/nextflow.config +++ b/nextflow.config @@ -62,38 +62,7 @@ try { process { shell = ['/bin/bash', '-euo', 'pipefail'] errorStrategy = 'retry' - maxRetries = 2 - - // Setup tdbsumstat environment for all processes - beforeScript = ''' - # Setup tdbsumstat environment - if [ -f ~/.bashrc ]; then - source ~/.bashrc - fi - - if command -v conda >/dev/null 2>&1; then - CONDA_BASE=$(conda info --base 2>/dev/null || true) - if [ -n "$CONDA_BASE" ] && [ -f "$CONDA_BASE/etc/profile.d/conda.sh" ]; then - source "$CONDA_BASE/etc/profile.d/conda.sh" || true - if conda env list | awk '{print $1}' | grep -qE '^tdbsumstat$'; then - conda activate tdbsumstat || true - fi - fi - fi - - if [ -n "${TDBSUMSTAT_HOME:-}" ]; then - export PATH="${TDBSUMSTAT_HOME%/}/bin:$PATH" - fi - - if [ -n "${TDBSUMSTAT_FALLBACK_BIN:-}" ]; then - export PATH="${TDBSUMSTAT_FALLBACK_BIN%/}:$PATH" - fi - '''.stripIndent() - - // Disable conda for your tdbsumstat processes - withName: 'EXPORT_SNP|CREATE_TILEDB|INGEST_DATA|LOCUSBREAKER|QC_PROCESS|MERGE_METADATA' { - conda = null - } + maxRetries = 2 } // Standard profiles (like your colleague) diff --git a/tdbsumstat/cli/export.py b/tdbsumstat/cli/export.py index 505b994..df1cd0d 100755 --- a/tdbsumstat/cli/export.py +++ b/tdbsumstat/cli/export.py @@ -114,14 +114,14 @@ def export( return_arrow = True ).df[chrom, trait , :] tiledb_query_pl = pl.from_arrow(tiledb_query) - tiledb_query_pl = tiledb_query_pl.filter(pl.col("POS").is_in(snp_list_refined)) + tiledb_query_pd = tiledb_query_pl.filter(pl.col("POS").is_in(snp_list_refined)).to_pandas() else: tiledb_query = tiledb_export.query( attrs=attr.split(",") ).df[chrom, trait , gene_list, :] tiledb_query_pl = pl.from_arrow(tiledb_query) - tiledb_query_pl = tiledb_query_pl.filter(pl.col("POS").is_in(snp_list_refined)) - tiledb_query_pd = tiledb_query_pl.drop(["CELL", "GENE"], axis=1) + tiledb_query_pd = tiledb_query_pl.filter(pl.col("POS").is_in(snp_list_refined)).to_pandas() + #tiledb_query_pd = tiledb_query_pl.drop(["CELL", "GENE"], axis=1) if not batch_name: batch_name = random.randint(1, 10000000) tiledb_query_pd.to_csv(f"{out}_batch_{batch_name}.csv", mode="a", index=False, header = False) From d9c29dd22b180133a01f8b82c46958e3a6d1ab6a Mon Sep 17 00:00:00 2001 From: bruno-ariano Date: Fri, 21 Nov 2025 20:07:21 +0100 Subject: [PATCH 42/61] Solve conflicts --- tdbsumstat/cli/export.py | 1 - tdbsumstat/utils/__init__.py | 2 +- tdbsumstat/utils/harmonize_ingest.py | 46 ++++++++++++++++++++++------ 3 files changed, 38 insertions(+), 11 deletions(-) diff --git a/tdbsumstat/cli/export.py b/tdbsumstat/cli/export.py index df1cd0d..dfcb322 100755 --- a/tdbsumstat/cli/export.py +++ b/tdbsumstat/cli/export.py @@ -121,7 +121,6 @@ def export( ).df[chrom, trait , gene_list, :] tiledb_query_pl = pl.from_arrow(tiledb_query) tiledb_query_pd = tiledb_query_pl.filter(pl.col("POS").is_in(snp_list_refined)).to_pandas() - #tiledb_query_pd = tiledb_query_pl.drop(["CELL", "GENE"], axis=1) if not batch_name: batch_name = random.randint(1, 10000000) tiledb_query_pd.to_csv(f"{out}_batch_{batch_name}.csv", mode="a", index=False, header = False) diff --git a/tdbsumstat/utils/__init__.py b/tdbsumstat/utils/__init__.py index 72b3950..fd813cb 100755 --- a/tdbsumstat/utils/__init__.py +++ b/tdbsumstat/utils/__init__.py @@ -119,4 +119,4 @@ def z_to_p_via_chi2(z): chi2_stat = z**2 p_value = chi2.sf(chi2_stat, df=1) # one-tailed return p_value - \ No newline at end of file + diff --git a/tdbsumstat/utils/harmonize_ingest.py b/tdbsumstat/utils/harmonize_ingest.py index bd18d1d..413a5b9 100755 --- a/tdbsumstat/utils/harmonize_ingest.py +++ b/tdbsumstat/utils/harmonize_ingest.py @@ -22,7 +22,7 @@ class HarmonizationError(Exception): class Harmonize: - def __init__(self, mapping_file: str, uri: str, type_sumstat: str, pvar_file: str, type_trait: str): + def __init__(self, mapping_file: str, uri: str, type_sumstat: str, pvar_file: str, type_trait: str, mac: int): self.mapping_file = mapping_file self.uri = uri self.pvar_file = pvar_file @@ -31,6 +31,7 @@ def __init__(self, mapping_file: str, uri: str, type_sumstat: str, pvar_file: st self.mapping_types = {} self.tiledb_types = {} self.dimension_tiledb = [] + self.mac = mac def create_mapping(self): df = pd.read_csv(self.mapping_file, header=None, names=["key", "value"]) @@ -115,6 +116,17 @@ def align_alleles(self): def harmonize(self, sumstat, trait: str = None, cell: str = None, gene: str = None, n: int = None, n_controls: int = None,n_cases: int = None, qc:bool = False): """Load and rename columns, and ensure CHR/POS exist.""" self.chunk_pl = sumstat.rename(self.mapping_types) + # If CHR/POS missing, extract from SNP ID + if "CHR" not in self.chunk_pl.columns or "POS" not in self.chunk_pl.columns: + self.chunk_pl = self.chunk_pl.with_columns( + pl.col("SNPID") + .str.split_exact(":", 4) + .struct.rename_fields(["CHR", "POS", "A1", "A2"]) + .alias("fields") + ).unnest("fields") + + #Filter additional headers in the file + self.chunk_pl = sumstat.filter(pl.col('POS')=='CHR') if self.type_trait == "quant": if not "N" in self.chunk_pl.columns: @@ -124,6 +136,18 @@ def harmonize(self, sumstat, trait: str = None, cell: str = None, gene: str = No ) else: raise HarmonizationError("N column is missing and N parameter is not provided") + if self.mac is not None: + self.chunk_pl = self.chunk_pl.with_columns((pl.when( + pl.col('EAF')>0.5 + ).then( + 1-pl.col('EAF') + ).otherwise( + pl.col('EAF') + ) + * 2 + * pl.col('N')).alias('MAC')) + self.chunk_pl = self.chunk_pl.filter(pl.col('MAC')>self.mac) + elif self.type_trait == "binary": if not all(sample_size in self.chunk_pl.columns for sample_size in ["N_CASES", "N_CONTROLS"]): @@ -135,17 +159,21 @@ def harmonize(self, sumstat, trait: str = None, cell: str = None, gene: str = No ) else: raise HarmonizationError("n_cases and n_controls columns are missing and were not provided") + if self.mac is not None: + self.chunk_pl = self.chunk_pl.with_columns((pl.when( + pl.col('EAF')>0.5 + ).then( + 1-pl.col('EAF') + ).otherwise( + pl.col('EAF') + ) + * 2 + * pl.col('N')).alias('MAC')) + self.chunk_pl = self.chunk_pl.filter(pl.col('MAC')>self.mac) else: raise HarmonizationError("Type of trait must be either binary or quant") - # If CHR/POS missing, extract from SNP ID - if "CHR" not in self.chunk_pl.columns or "POS" not in self.chunk_pl.columns: - self.chunk_pl = self.chunk_pl.with_columns( - pl.col("SNPID") - .str.split_exact(":", 4) - .struct.rename_fields(["CHR", "POS", "A1", "A2"]) - .alias("fields") - ).unnest("fields") + if "SNPID" in self.chunk_pl.columns: self.chunk_pl = self.chunk_pl.drop("SNPID") From e8e7e0a3e2c7cc0ebb40f88087a4617445a1fd61 Mon Sep 17 00:00:00 2001 From: bruno-ariano Date: Sat, 22 Nov 2025 13:52:11 +0100 Subject: [PATCH 43/61] Solve conflicts --- main.nf | 6 ------ modules/collect_snps/main.nf | 22 ++++++++++++++++++++++ modules/ingestion/main.nf | 6 +----- modules/snp/main.nf | 4 ++-- tdbsumstat/cli/export.py | 10 +++------- 5 files changed, 28 insertions(+), 20 deletions(-) create mode 100644 modules/collect_snps/main.nf diff --git a/main.nf b/main.nf index 36ec0d4..cd6dff9 100644 --- a/main.nf +++ b/main.nf @@ -35,12 +35,6 @@ workflow { .groupTuple() .set { tiledb_metadata_batches } EXPORT_SNP(tiledb_metadata_batches) - } - if (params.regions){ - - } - if (params.sumstat){ - } if (params.locusbreaker){ Channel.fromPath(params.table_lb, checkIfExists:true) diff --git a/modules/collect_snps/main.nf b/modules/collect_snps/main.nf new file mode 100644 index 0000000..4ac2d5a --- /dev/null +++ b/modules/collect_snps/main.nf @@ -0,0 +1,22 @@ +process COLLECT_SNPS { + +lebel "process_low" +publishDir "${params.outdir}/snp_table", mode: params.publish_dir_mode + +//Define input +input: +path(snp_file) + +output: +path("snps_append.csv") + +script: + +""" +head -n 1 ${snp_file}[0] > all_snps.csv +for f in ${csvs[@]}; do + tail -n +2 "$f" >> all_snps.csv + done +""" + +} diff --git a/modules/ingestion/main.nf b/modules/ingestion/main.nf index 999c5bb..e92f874 100644 --- a/modules/ingestion/main.nf +++ b/modules/ingestion/main.nf @@ -28,11 +28,7 @@ process INGEST_DATA { --mapping-file ${mapping_file} \ --type-sumstat ${params.type_sumstat} \ ${qc} - - # Copy all metadata JSON files to a unique directory for output - mkdir -p metadata_parts_${list_files.name} - cp -v ${tiledb}_metadata_parts/*.json metadata_parts_${list_files.name}/ || true - + # Create a dummy file to signal completion touch ingestion_complete_${list_files.name} rm -rf ${tiledb}_metadata_parts diff --git a/modules/snp/main.nf b/modules/snp/main.nf index 5488749..3fb9816 100644 --- a/modules/snp/main.nf +++ b/modules/snp/main.nf @@ -1,6 +1,6 @@ process EXPORT_SNP { label "process_high" - publishDir "${params.outdir}/snp_table", mode: params.publish_dir_mode + //publishDir "${params.outdir}/snp_table", mode: params.publish_dir_mode // Define input input: @@ -8,7 +8,7 @@ process EXPORT_SNP { // Define output output: - path("*_batch_*.csv"), emit: snp_tdb_positions, optional: true + path("*.csv"), emit: snp_tdb_positions, optional: true // Define the shell script to execute script: diff --git a/tdbsumstat/cli/export.py b/tdbsumstat/cli/export.py index dfcb322..48e5517 100755 --- a/tdbsumstat/cli/export.py +++ b/tdbsumstat/cli/export.py @@ -105,10 +105,6 @@ def export( for chrom in chrom_list: if type_sumstat == "gwas": snp_list_refined = snp_list[(snp_list['CHR']==chrom) & (snp_list['TRAIT']==trait)]['POS'].unique().tolist() - else: - snp_list_refined = snp_list[(snp_list['CHR']==chrom) & (snp_list['CELL']==trait)]['POS'].unique().tolist() - gene_list = snp_list[(snp_list['CHR']==chrom) & (snp_list['CELL']==trait)]['GENE'].unique().tolist() - if type_sumstat == "gwas": tiledb_query = tiledb_export.query( attrs=attr.split(","), return_arrow = True @@ -116,14 +112,14 @@ def export( tiledb_query_pl = pl.from_arrow(tiledb_query) tiledb_query_pd = tiledb_query_pl.filter(pl.col("POS").is_in(snp_list_refined)).to_pandas() else: + snp_list_refined = snp_list[(snp_list['CHR']==chrom) & (snp_list['CELL']==trait)]['POS'].unique().tolist() + gene_list = snp_list[(snp_list['CHR']==chrom) & (snp_list['CELL']==trait)]['GENE'].unique().tolist() tiledb_query = tiledb_export.query( attrs=attr.split(",") ).df[chrom, trait , gene_list, :] tiledb_query_pl = pl.from_arrow(tiledb_query) tiledb_query_pd = tiledb_query_pl.filter(pl.col("POS").is_in(snp_list_refined)).to_pandas() - if not batch_name: - batch_name = random.randint(1, 10000000) - tiledb_query_pd.to_csv(f"{out}_batch_{batch_name}.csv", mode="a", index=False, header = False) + tiledb_query_pd.to_csv(f"{out}_{trait}_{chrom}.csv", index=False, header = False) elif table_regions: pd_region = pd.read_csv(table_regions) counter_nonempty_region = 0 From d7246a2709e7cea5867fed3859ca2e7c56f99523 Mon Sep 17 00:00:00 2001 From: bruno-ariano Date: Sat, 22 Nov 2025 16:15:09 +0100 Subject: [PATCH 44/61] fix snp extraction --- modules/ingestion/main.nf | 14 +++++++++++--- modules/merge_metadata/main.nf | 4 +++- modules/snp/main.nf | 4 ++-- tdbsumstat/cli/export.py | 15 ++++----------- tdbsumstat/utils/locusbreaker_plpl.py | 8 -------- 5 files changed, 20 insertions(+), 25 deletions(-) diff --git a/modules/ingestion/main.nf b/modules/ingestion/main.nf index e92f874..9fc784a 100644 --- a/modules/ingestion/main.nf +++ b/modules/ingestion/main.nf @@ -2,7 +2,7 @@ process INGEST_DATA { label "process_high" - publishDir "${params.outdir}/TileDB/", mode: 'link' + //publishDir "${params.outdir}/TileDB/", mode: 'link' // Define input @@ -14,7 +14,7 @@ process INGEST_DATA { // Define output output: - path("metadata_parts_${list_files.name}"), emit: metadata_parts + path("TileDB_${params.tiledb_name}_metadata_parts_${list_files.name}"), emit: metadata_parts path("ingestion_complete_${list_files.name}"), emit: ingestion_done path("${tiledb}"), emit: tiledb_updated @@ -28,9 +28,17 @@ process INGEST_DATA { --mapping-file ${mapping_file} \ --type-sumstat ${params.type_sumstat} \ ${qc} + # Rename the metadata parts directory to include the list_files name for uniqueness + if [ -d "TileDB_${params.tiledb_name}_metadata_parts" ]; then + mv "TileDB_${params.tiledb_name}_metadata_parts" "TileDB_${params.tiledb_name}_metadata_parts_${list_files.name}" + else + # Create empty directory if none was created + mkdir -p "TileDB_${params.tiledb_name}_metadata_parts_${list_files.name}" + fi + # Create a dummy file to signal completion touch ingestion_complete_${list_files.name} - rm -rf ${tiledb}_metadata_parts + """ } diff --git a/modules/merge_metadata/main.nf b/modules/merge_metadata/main.nf index 04a1d5c..91cbf90 100644 --- a/modules/merge_metadata/main.nf +++ b/modules/merge_metadata/main.nf @@ -1,6 +1,8 @@ process MERGE_METADATA { label "process_high" - publishDir "${params.outdir}/TileDB/", mode: 'copy' + publishDir "${params.outdir}/TileDB/", mode: 'copy', pattern: "TileDB_${params.tiledb_name}" + publishDir "${params.outdir}/TileDB/", mode: 'copy', pattern: "TileDB_${params.tiledb_name}_metadata.csv" + input: path(tiledb) diff --git a/modules/snp/main.nf b/modules/snp/main.nf index 3fb9816..5055a7f 100644 --- a/modules/snp/main.nf +++ b/modules/snp/main.nf @@ -1,6 +1,6 @@ process EXPORT_SNP { label "process_high" - //publishDir "${params.outdir}/snp_table", mode: params.publish_dir_mode + publishDir "${params.outdir}/snp_table", mode: params.publish_dir_mode // Define input input: @@ -8,7 +8,7 @@ process EXPORT_SNP { // Define output output: - path("*.csv"), emit: snp_tdb_positions, optional: true + path("${params.out}_*.csv"), emit: snp_tdb_positions, optional: true // Define the shell script to execute script: diff --git a/tdbsumstat/cli/export.py b/tdbsumstat/cli/export.py index 48e5517..8c643ec 100755 --- a/tdbsumstat/cli/export.py +++ b/tdbsumstat/cli/export.py @@ -88,15 +88,10 @@ def export( if snp: snp_list = pd.read_csv(snp, dtype = {"CHR":int, "POS":np.uint32, "TRAIT":str}) if type_sumstat == "gwas": - header_file = "CHR,TRAIT,POS,SNPID" + "," + attr trait_list = snp_list['TRAIT'].unique().tolist() else: - header_file = "CHR,POS,SNPID" + "," + attr + ",TRAIT" snp_list[["CELL","GENE"]] = snp_list["TRAIT"].str.split(":", n = 2, expand = True) trait_list = snp_list['CELL'].unique().tolist() - out_file = out + ".csv" - with open(out_file, "w") as f: - f.write(header_file + "\n") for trait in trait_list: if type_sumstat == "gwas": chrom_list = snp_list[snp_list['TRAIT']==trait]['CHR'].unique().tolist() @@ -119,7 +114,7 @@ def export( ).df[chrom, trait , gene_list, :] tiledb_query_pl = pl.from_arrow(tiledb_query) tiledb_query_pd = tiledb_query_pl.filter(pl.col("POS").is_in(snp_list_refined)).to_pandas() - tiledb_query_pd.to_csv(f"{out}_{trait}_{chrom}.csv", index=False, header = False) + tiledb_query_pd.to_csv(f"{out}_{trait}_{chrom}.csv", mode = "a", index=False) elif table_regions: pd_region = pd.read_csv(table_regions) counter_nonempty_region = 0 @@ -145,10 +140,8 @@ def query_spec(tiledb_path, chrom:int, trait: str = None, cell: str = None, gene else: tiledb_filtered = tiledb_data.query(dims=['CHR','CELL','GENE','POS'], return_arrow=True).df[chrom, cell ,gene , :] return tiledb_filtered - - def locus_breaker(tiledb_data, maf, pvalue_sig, pvalue_limit, locus_max_size, hole_size, cis_trans_lb, metadata, type_sumstat = "scqtl"): - return locusbreaker_plpl(tiledb_data, maf = maf, pvalue_sig=pvalue_sig, pvalue_limit=pvalue_limit, locus_max_size = locus_max_size, - hole_size=hole_size, cis_trans_lb = cis_trans_lb, type_sumstat = type_sumstat, metadata = metadata) + #return locusbreaker_plpl(tiledb_data, maf = maf, pvalue_sig=pvalue_sig, pvalue_limit=pvalue_limit, locus_max_size = locus_max_size, + # hole_size=hole_size, cis_trans_lb = cis_trans_lb, type_sumstat = type_sumstat, metadata = metadata) traits = pd.read_csv(table_lb) traits = traits.astype({'CHR': 'int16'}) for index, trait in traits.iterrows(): @@ -162,7 +155,7 @@ def locus_breaker(tiledb_data, maf, pvalue_sig, pvalue_limit, locus_max_size, ho cell,genes = trait["TRAIT"].split(":") query = query_spec(tiledb_path, trait["CHR"], cell=cell, gene=genes, type_sumstat=type_sumstat) - result = locus_breaker(query, + result = locusbreaker_plpl(query, maf=maf_lb, pvalue_sig=pvalue_sig, pvalue_limit=pvalue_limit, diff --git a/tdbsumstat/utils/locusbreaker_plpl.py b/tdbsumstat/utils/locusbreaker_plpl.py index 8ccbf66..8caecd8 100755 --- a/tdbsumstat/utils/locusbreaker_plpl.py +++ b/tdbsumstat/utils/locusbreaker_plpl.py @@ -18,15 +18,11 @@ def locusbreaker_plpl( df = df.with_columns( MAF=pl.when(pl.col("EAF") <= 0.5).then(pl.col("EAF")).otherwise(1 - pl.col("EAF")) ).filter(pl.col("MAF") >= maf).drop("MAF") - print(df) # Filter SNPs for locus definition - - if type_sumstat == "gwas": if "N" in df.columns: df = df.drop("N") df = df.join(metadata, on = ["TRAIT"]) - else: df = df.join(metadata, on = ["CHR","CELL","GENE"]) loci_snps = df.filter(pl.col("P") <= pvalue_limit) @@ -48,14 +44,12 @@ def locusbreaker_plpl( group_keys = ["CHR", "TRAIT","PHENO_VAR"] else: group_keys = ["CHR", "CELL", "GENE","PHENO_VAR"] - # Process groups loci_snps = loci_snps.sort(group_keys + ["POS"]) # Identify groups based on hole_size grouped = loci_snps.with_columns( pl.col("POS").diff().gt(hole_size).cast(pl.UInt32).fill_null(0).cum_sum().over(group_keys).alias("group_id") ) - # Aggregate groups aggregated = grouped.group_by(group_keys + ["group_id"]).agg( [ @@ -65,9 +59,7 @@ def locusbreaker_plpl( pl.all().sort_by("P").first() ] ) - # Filter significant groups and expand regions - significant = aggregated.filter(pl.col("min_p") <= pvalue_sig).with_columns( start_pos=pl.when(pl.col("min_pos") <= 100000) .then(1) From 3d987656a454d8df1c7e305f49f916dff3495534 Mon Sep 17 00:00:00 2001 From: bruno-ariano Date: Sat, 22 Nov 2025 16:31:06 +0100 Subject: [PATCH 45/61] Adding mac filter ingestion --- tdbsumstat/cli/ingestion.py | 15 +++++++++++++-- 1 file changed, 13 insertions(+), 2 deletions(-) diff --git a/tdbsumstat/cli/ingestion.py b/tdbsumstat/cli/ingestion.py index 009fc3a..62db527 100755 --- a/tdbsumstat/cli/ingestion.py +++ b/tdbsumstat/cli/ingestion.py @@ -21,11 +21,22 @@ "Optional parameters", cloup.option("--pvar-file", default = None, type=str, help = "pvar file used to verify the alleles order"), cloup.option("--sep", default = "\t", type=str, help = "pvar file used to verify the alleles order"), + cloup.option("--mac", default = "\t", type=str, help = "Allele count filter"), cloup.option("--qc", is_flag=True, type=bool, default = False, help = "Harmonize and QC the summary statistics using gwaslab"), cloup.option("--only-meta", is_flag=True, type=bool, default = False, help = "Create and ingest metadata") ) -def ingest(uri_path:str, sep:str, type_trait:str, mapping_file:str, file_path:str, create_tiledb:bool, type_sumstat:str, pvar_file:str = None, qc:bool = False, only_meta:bool = False): +def ingest(uri_path:str, + sep:str, + type_trait:str, + mapping_file:str, + file_path:str, + create_tiledb:bool, + type_sumstat:str, + pvar_file:str = None, + qc:bool = False, + only_meta:bool = False, + mac:int = None): # Create a Harmonize object print("Starting ingestion") harmonized_object = Harmonize(mapping_file= mapping_file, uri=uri_path, type_sumstat=type_sumstat, pvar_file = pvar_file, type_trait = type_trait) @@ -74,7 +85,7 @@ def ingest(uri_path:str, sep:str, type_trait:str, mapping_file:str, file_path:st # Harmonize the data print(f"Harmonizing file: {file}") chunk_pl = pl.read_csv(file,separator=sep,low_memory=True ,null_values="NA") - harmonized_object.harmonize(sumstat = chunk_pl, trait = trait, cell = cell, gene = gene, n = n, n_cases = n_cases, n_controls = n_controls) + harmonized_object.harmonize(sumstat = chunk_pl, trait = trait, cell = cell, gene = gene, n = n, n_cases = n_cases, n_controls = n_controls, mac = mac) #Performing QC using GWASLAB if qc: harmonized_object.qc_sumstat(file_path = file) From bd59e5862e21afced28a906b3a3c84aa6226d8dc Mon Sep 17 00:00:00 2001 From: bruno-ariano Date: Sat, 22 Nov 2025 16:40:28 +0100 Subject: [PATCH 46/61] Adding mac filter ingestion --- tdbsumstat/cli/ingestion.py | 4 ++-- 1 file changed, 2 insertions(+), 2 deletions(-) diff --git a/tdbsumstat/cli/ingestion.py b/tdbsumstat/cli/ingestion.py index 62db527..c448f01 100755 --- a/tdbsumstat/cli/ingestion.py +++ b/tdbsumstat/cli/ingestion.py @@ -39,7 +39,7 @@ def ingest(uri_path:str, mac:int = None): # Create a Harmonize object print("Starting ingestion") - harmonized_object = Harmonize(mapping_file= mapping_file, uri=uri_path, type_sumstat=type_sumstat, pvar_file = pvar_file, type_trait = type_trait) + harmonized_object = Harmonize(mapping_file= mapping_file, uri=uri_path, type_sumstat=type_sumstat, pvar_file = pvar_file, type_trait = type_trait, mac = mac) #Check if the tiledb already exists, if not create it if create_tiledb: @@ -85,7 +85,7 @@ def ingest(uri_path:str, # Harmonize the data print(f"Harmonizing file: {file}") chunk_pl = pl.read_csv(file,separator=sep,low_memory=True ,null_values="NA") - harmonized_object.harmonize(sumstat = chunk_pl, trait = trait, cell = cell, gene = gene, n = n, n_cases = n_cases, n_controls = n_controls, mac = mac) + harmonized_object.harmonize(sumstat = chunk_pl, trait = trait, cell = cell, gene = gene, n = n, n_cases = n_cases, n_controls = n_controls) #Performing QC using GWASLAB if qc: harmonized_object.qc_sumstat(file_path = file) From 9c6450781e66705b564309159f3bb975d26977b6 Mon Sep 17 00:00:00 2001 From: bruno-ariano Date: Sat, 22 Nov 2025 16:44:18 +0100 Subject: [PATCH 47/61] Adding mac filter ingestion --- tdbsumstat/cli/ingestion.py | 2 +- 1 file changed, 1 insertion(+), 1 deletion(-) diff --git a/tdbsumstat/cli/ingestion.py b/tdbsumstat/cli/ingestion.py index c448f01..6a6f9e5 100755 --- a/tdbsumstat/cli/ingestion.py +++ b/tdbsumstat/cli/ingestion.py @@ -84,7 +84,7 @@ def ingest(uri_path:str, print(f"Processing file: {file}") # Harmonize the data print(f"Harmonizing file: {file}") - chunk_pl = pl.read_csv(file,separator=sep,low_memory=True ,null_values="NA") + chunk_pl = pl.read_csv(file,separator=sep,low_memory=True ,null_values="NA", ignore_errors = True) harmonized_object.harmonize(sumstat = chunk_pl, trait = trait, cell = cell, gene = gene, n = n, n_cases = n_cases, n_controls = n_controls) #Performing QC using GWASLAB if qc: From 71357db59f8826b9b674b60e3143d25d57e2d7da Mon Sep 17 00:00:00 2001 From: bruno-ariano Date: Sat, 22 Nov 2025 17:04:30 +0100 Subject: [PATCH 48/61] Adding mac filter ingestion --- tdbsumstat/utils/harmonize_ingest.py | 5 +---- 1 file changed, 1 insertion(+), 4 deletions(-) diff --git a/tdbsumstat/utils/harmonize_ingest.py b/tdbsumstat/utils/harmonize_ingest.py index 413a5b9..bbc6867 100755 --- a/tdbsumstat/utils/harmonize_ingest.py +++ b/tdbsumstat/utils/harmonize_ingest.py @@ -124,10 +124,7 @@ def harmonize(self, sumstat, trait: str = None, cell: str = None, gene: str = No .struct.rename_fields(["CHR", "POS", "A1", "A2"]) .alias("fields") ).unnest("fields") - - #Filter additional headers in the file - self.chunk_pl = sumstat.filter(pl.col('POS')=='CHR') - + if self.type_trait == "quant": if not "N" in self.chunk_pl.columns: if n is not None: From ec9620144a4fb2106976aaa9b5ee7888349947d9 Mon Sep 17 00:00:00 2001 From: bruno-ariano Date: Sat, 22 Nov 2025 17:16:35 +0100 Subject: [PATCH 49/61] Adding mac filter ingestion --- tdbsumstat/utils/harmonize_ingest.py | 28 ++++++++-------------------- 1 file changed, 8 insertions(+), 20 deletions(-) diff --git a/tdbsumstat/utils/harmonize_ingest.py b/tdbsumstat/utils/harmonize_ingest.py index bbc6867..2365b83 100755 --- a/tdbsumstat/utils/harmonize_ingest.py +++ b/tdbsumstat/utils/harmonize_ingest.py @@ -134,16 +134,10 @@ def harmonize(self, sumstat, trait: str = None, cell: str = None, gene: str = No else: raise HarmonizationError("N column is missing and N parameter is not provided") if self.mac is not None: - self.chunk_pl = self.chunk_pl.with_columns((pl.when( - pl.col('EAF')>0.5 - ).then( - 1-pl.col('EAF') - ).otherwise( - pl.col('EAF') - ) - * 2 - * pl.col('N')).alias('MAC')) - self.chunk_pl = self.chunk_pl.filter(pl.col('MAC')>self.mac) + self.chunk_pl = self.chunk_pl.with_columns( + (2 * pl.col("N") * pl.min_horizontal("EAF", (1 - pl.col("EAF")))) + .alias("MAC") + ).filter(pl.col("MAC") > self.mac) elif self.type_trait == "binary": @@ -157,16 +151,10 @@ def harmonize(self, sumstat, trait: str = None, cell: str = None, gene: str = No else: raise HarmonizationError("n_cases and n_controls columns are missing and were not provided") if self.mac is not None: - self.chunk_pl = self.chunk_pl.with_columns((pl.when( - pl.col('EAF')>0.5 - ).then( - 1-pl.col('EAF') - ).otherwise( - pl.col('EAF') - ) - * 2 - * pl.col('N')).alias('MAC')) - self.chunk_pl = self.chunk_pl.filter(pl.col('MAC')>self.mac) + self.chunk_pl = self.chunk_pl.with_columns( + (2 * pl.col("N") * pl.min_horizontal("EAF", (1 - pl.col("EAF")))) + .alias("MAC") + ).filter(pl.col("MAC") > self.mac) else: raise HarmonizationError("Type of trait must be either binary or quant") From 973165e4c54e9eddb281ad0b79b7d15c9081c1c5 Mon Sep 17 00:00:00 2001 From: bruno-ariano Date: Sat, 22 Nov 2025 17:18:40 +0100 Subject: [PATCH 50/61] Adding mac filter ingestion --- tdbsumstat/utils/harmonize_ingest.py | 4 ++-- 1 file changed, 2 insertions(+), 2 deletions(-) diff --git a/tdbsumstat/utils/harmonize_ingest.py b/tdbsumstat/utils/harmonize_ingest.py index 2365b83..cc81149 100755 --- a/tdbsumstat/utils/harmonize_ingest.py +++ b/tdbsumstat/utils/harmonize_ingest.py @@ -137,7 +137,7 @@ def harmonize(self, sumstat, trait: str = None, cell: str = None, gene: str = No self.chunk_pl = self.chunk_pl.with_columns( (2 * pl.col("N") * pl.min_horizontal("EAF", (1 - pl.col("EAF")))) .alias("MAC") - ).filter(pl.col("MAC") > self.mac) + ).filter(pl.col("MAC") > int(self.mac)) elif self.type_trait == "binary": @@ -154,7 +154,7 @@ def harmonize(self, sumstat, trait: str = None, cell: str = None, gene: str = No self.chunk_pl = self.chunk_pl.with_columns( (2 * pl.col("N") * pl.min_horizontal("EAF", (1 - pl.col("EAF")))) .alias("MAC") - ).filter(pl.col("MAC") > self.mac) + ).filter(pl.col("MAC") > int(self.mac)) else: raise HarmonizationError("Type of trait must be either binary or quant") From e4581e2ae06c45e44f1bfbfb97d6de987575474e Mon Sep 17 00:00:00 2001 From: bruno-ariano Date: Sat, 22 Nov 2025 17:41:29 +0100 Subject: [PATCH 51/61] Adding mac filter ingestion --- tdbsumstat/cli/ingestion.py | 2 +- tdbsumstat/utils/harmonize_ingest.py | 4 ++-- 2 files changed, 3 insertions(+), 3 deletions(-) diff --git a/tdbsumstat/cli/ingestion.py b/tdbsumstat/cli/ingestion.py index 6a6f9e5..9491dd0 100755 --- a/tdbsumstat/cli/ingestion.py +++ b/tdbsumstat/cli/ingestion.py @@ -21,7 +21,7 @@ "Optional parameters", cloup.option("--pvar-file", default = None, type=str, help = "pvar file used to verify the alleles order"), cloup.option("--sep", default = "\t", type=str, help = "pvar file used to verify the alleles order"), - cloup.option("--mac", default = "\t", type=str, help = "Allele count filter"), + cloup.option("--mac", default = None, type=int, help = "Allele count filter"), cloup.option("--qc", is_flag=True, type=bool, default = False, help = "Harmonize and QC the summary statistics using gwaslab"), cloup.option("--only-meta", is_flag=True, type=bool, default = False, help = "Create and ingest metadata") ) diff --git a/tdbsumstat/utils/harmonize_ingest.py b/tdbsumstat/utils/harmonize_ingest.py index cc81149..2365b83 100755 --- a/tdbsumstat/utils/harmonize_ingest.py +++ b/tdbsumstat/utils/harmonize_ingest.py @@ -137,7 +137,7 @@ def harmonize(self, sumstat, trait: str = None, cell: str = None, gene: str = No self.chunk_pl = self.chunk_pl.with_columns( (2 * pl.col("N") * pl.min_horizontal("EAF", (1 - pl.col("EAF")))) .alias("MAC") - ).filter(pl.col("MAC") > int(self.mac)) + ).filter(pl.col("MAC") > self.mac) elif self.type_trait == "binary": @@ -154,7 +154,7 @@ def harmonize(self, sumstat, trait: str = None, cell: str = None, gene: str = No self.chunk_pl = self.chunk_pl.with_columns( (2 * pl.col("N") * pl.min_horizontal("EAF", (1 - pl.col("EAF")))) .alias("MAC") - ).filter(pl.col("MAC") > int(self.mac)) + ).filter(pl.col("MAC") > self.mac) else: raise HarmonizationError("Type of trait must be either binary or quant") From cd553de2186ab555e25fabfed74767a9da9d11ef Mon Sep 17 00:00:00 2001 From: bruno-ariano Date: Sat, 22 Nov 2025 18:36:23 +0100 Subject: [PATCH 52/61] Adding mac filter ingestion --- tdbsumstat/utils/harmonize_ingest.py | 4 ++++ 1 file changed, 4 insertions(+) diff --git a/tdbsumstat/utils/harmonize_ingest.py b/tdbsumstat/utils/harmonize_ingest.py index 2365b83..aaa5163 100755 --- a/tdbsumstat/utils/harmonize_ingest.py +++ b/tdbsumstat/utils/harmonize_ingest.py @@ -341,6 +341,10 @@ def ingest_data(self, file_path): .filter(pl.col("_grp_count") == 1) .drop("_grp_count") ) + self.chunk_pl = self.chunk_pl.with_columns([ + pl.col("CHR").cast(pl.UInt16), + pl.col("POS").cast(pl.UInt32) + ]) chunk_pl_ingest = self.chunk_pl.select(self.tiledb_types.keys()) try: tiledb.from_pandas( From 2b80c7d3693aae40e3a328d9d4917643f15e2a3f Mon Sep 17 00:00:00 2001 From: "bruno.ariano" Date: Sat, 22 Nov 2025 18:32:42 +0000 Subject: [PATCH 53/61] add few fixes --- conf/base.config | 2 +- data_table_saige.csv | 2 ++ nextflow.config | 4 ++-- tdbsumstat/utils/harmonize_ingest.py | 5 +++-- 4 files changed, 8 insertions(+), 5 deletions(-) create mode 100644 data_table_saige.csv diff --git a/conf/base.config b/conf/base.config index 97f7070..9cedcb1 100644 --- a/conf/base.config +++ b/conf/base.config @@ -1,5 +1,5 @@ process { - conda = "/ssu/gassu/conda_envs/tdbsumstat" + conda = "/software/cardinal_analysis/ht/conda_envs/tdbsumstat/" // conda = "${projectDir}/pipeline_environment.yml" // memory errors which should be retried. otherwise error out diff --git a/data_table_saige.csv b/data_table_saige.csv new file mode 100644 index 0000000..2e7fac6 --- /dev/null +++ b/data_table_saige.csv @@ -0,0 +1,2 @@ +FILE,CELL +/lustre/scratch124/humgen/projects_v2/cardinal_analysis/analysed_datasets/eqtls/F3_QTLs_saige/UKBB/celltype_2/analysis_by_chr/NK_CD56bright/results_F3_cis/Saige_eQTLS/NK_CD56bright/nominal/1__NK_CD56bright__all_vars_genes.tsv.gz,NK_CD56bright diff --git a/nextflow.config b/nextflow.config index b74dacc..ba68e5e 100644 --- a/nextflow.config +++ b/nextflow.config @@ -165,7 +165,7 @@ manifest { homePage = 'https://github.com/HTGenomeAnalysisUnit/TileDB-sumstat.git' description = 'Pipeline to store and query summary statistics data' mainScript = 'main.nf' - nextflowVersion = '!>=24.04' + nextflowVersion = '!>=23.04' version = '0.1.0' doi = '' -} \ No newline at end of file +} diff --git a/tdbsumstat/utils/harmonize_ingest.py b/tdbsumstat/utils/harmonize_ingest.py index aaa5163..294a9d2 100755 --- a/tdbsumstat/utils/harmonize_ingest.py +++ b/tdbsumstat/utils/harmonize_ingest.py @@ -346,6 +346,7 @@ def ingest_data(self, file_path): pl.col("POS").cast(pl.UInt32) ]) chunk_pl_ingest = self.chunk_pl.select(self.tiledb_types.keys()) + chunk_pl_ingest = chunk_pl_ingest.drop_nulls() try: tiledb.from_pandas( uri=self.uri, @@ -367,7 +368,7 @@ def create_metadata(self, file_path: str): "traits": [], "CELL": [] } - + self.chunk_pl = self.chunk_pl.drop_nulls() if self.type_sumstat == "qtl": # Get unique cell types celltypes = self.chunk_pl["CELL"].unique().to_list() @@ -388,7 +389,7 @@ def create_metadata(self, file_path: str): lambda s: pl.Series([acat_optimized(s)]), return_dtype=pl.Float64 ).alias("ACAT_LIST"), - pl.col("N").first().alias("N") + pl.col("N").drop_nulls().first().alias("N") ]) chr_gene_agg = chr_gene_agg.with_columns( pl.col("ACAT_LIST").list.first().alias("ACAT") From a01aa3a1edf7fa7578cfa23da1eb47d3079f95be Mon Sep 17 00:00:00 2001 From: "bruno.ariano" Date: Tue, 25 Nov 2025 12:52:01 +0000 Subject: [PATCH 54/61] add qc fix --- tdbsumstat/cli/ingestion.py | 7 +++---- 1 file changed, 3 insertions(+), 4 deletions(-) diff --git a/tdbsumstat/cli/ingestion.py b/tdbsumstat/cli/ingestion.py index 9491dd0..9880a7a 100755 --- a/tdbsumstat/cli/ingestion.py +++ b/tdbsumstat/cli/ingestion.py @@ -90,8 +90,7 @@ def ingest(uri_path:str, if qc: harmonized_object.qc_sumstat(file_path = file) # Ingest the data - else: - print(f"Ingesting data: {file}") - harmonized_object.ingest_data(file_path = file) - harmonized_object.create_metadata(file_path = file) + print(f"Ingesting data: {file}") + harmonized_object.ingest_data(file_path = file) + harmonized_object.create_metadata(file_path = file) From 481f8cd10c9e9b9d4bd84cf8a0a70fb2d3252274 Mon Sep 17 00:00:00 2001 From: "bruno.ariano" Date: Tue, 25 Nov 2025 15:23:39 +0000 Subject: [PATCH 55/61] add fixes locusbreaker --- modules/locusbreaker/main.nf | 2 +- nextflow.config | 2 +- table_export_lb.csv | 4 ++++ tdbsumstat/cli/export.py | 2 +- 4 files changed, 7 insertions(+), 3 deletions(-) create mode 100644 table_export_lb.csv diff --git a/modules/locusbreaker/main.nf b/modules/locusbreaker/main.nf index 6db2883..5db2c2c 100644 --- a/modules/locusbreaker/main.nf +++ b/modules/locusbreaker/main.nf @@ -26,6 +26,6 @@ process EXPORT_LOCUSBREAKER { --hole-lb ${params.hole_lb} \ --locus-max-size-lb ${params.locus_max_size_lb} \ --locusbreaker \ - --batch-name-lb ${batch_index} + --batch-name ${batch_index} """ } diff --git a/nextflow.config b/nextflow.config index ba68e5e..df645ce 100644 --- a/nextflow.config +++ b/nextflow.config @@ -29,7 +29,7 @@ params { cis_trans_lb = null table_lb = null tiledb_batch_size = null - batch_name_lb = null + batch_name = null // Config options (like your colleague) custom_config_version = 'master' diff --git a/table_export_lb.csv b/table_export_lb.csv new file mode 100644 index 0000000..4561d7b --- /dev/null +++ b/table_export_lb.csv @@ -0,0 +1,4 @@ +CHR,TRAIT,SIG,LIM +1,NK_CD56bright:ENSG00000143322,1e-2,1e-2 +1,NK_CD56bright:ENSG00000117697,1e-2,1e-2 +4,NK_CD56bright:ENSG00000109762,1e-2,1e-2 diff --git a/tdbsumstat/cli/export.py b/tdbsumstat/cli/export.py index 8c643ec..9dfc459 100755 --- a/tdbsumstat/cli/export.py +++ b/tdbsumstat/cli/export.py @@ -58,7 +58,7 @@ def export( ): #Open connection with TileDB tiledb_export = tiledb.open(tiledb_path, mode="r") - metadata = json.loads(tiledb_export.meta["metadata"]) + metadata = json.loads(tiledb_export.meta["merged_metadata"]) rows = [] if type_sumstat == "qtl": for cell in metadata["CELL"]: From dc264d63ef2ecf9aa6a4b9cdfac1a21ebe59644c Mon Sep 17 00:00:00 2001 From: bruno-ariano Date: Wed, 26 Nov 2025 22:59:01 +0100 Subject: [PATCH 56/61] Adding trait extraction --- README.md | 4 + conf/base.config | 4 + conf/test.config | 33 +- docs/README.md | 239 +- ...02_50c2a89c0de8ca7ae918c4a228eede14_22.wrt | 0 ...12_260d08c93127978b4988fe061dab5ac3_22.wrt | 0 .../__fragment_metadata.tdb | Bin 0 -> 11412 bytes .../a0.tdb | Bin 0 -> 2015 bytes .../a0_var.tdb | Bin 0 -> 4149 bytes .../a1.tdb | Bin 0 -> 1968 bytes .../a1_var.tdb | Bin 0 -> 57 bytes .../a2.tdb | Bin 0 -> 6057 bytes .../a3.tdb | Bin 0 -> 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example_data/dummy_out_ENSG0000010000.tsv.gz | Bin 0 -> 99047 bytes example_data/dummy_out_ENSG0000010001.tsv.gz | Bin 0 -> 196948 bytes example_data/example_data_table.csv | 14 +- example_data/locusbreaker_test_table.csv | 10 - example_data/locusbreaker_test_table_sc.csv | 2 + example_data/region_list.csv | 50 + example_data/snp_list.csv | 106543 --------------- example_data/snp_list_sc.csv | 50 + example_data/trait_list.csv | 3 + main.nf | 21 +- modules/create_tiledb/main.nf | 2 +- modules/locusbreaker/main.nf | 2 +- modules/regions/main.nf | 9 +- modules/snp/main.nf | 2 +- modules/traits/main.nf | 24 + nextflow.config | 18 +- tdbsumstat/cli/export.py | 68 +- tdbsumstat/cli/ingestion.py | 44 +- tdbsumstat/utils/create_dummy_data_sc.py | 55 +- tdbsumstat/utils/harmonize_ingest.py | 50 +- tdbsumstat/utils/test_pvalues.py | 129 - 61 files changed, 490 insertions(+), 106886 deletions(-) create mode 100644 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mode 100644 example_data/dummy_out_ENSG0000010000.tsv.gz create mode 100644 example_data/dummy_out_ENSG0000010001.tsv.gz delete mode 100644 example_data/locusbreaker_test_table.csv create mode 100644 example_data/locusbreaker_test_table_sc.csv create mode 100644 example_data/region_list.csv delete mode 100644 example_data/snp_list.csv create mode 100644 example_data/snp_list_sc.csv create mode 100644 example_data/trait_list.csv create mode 100644 modules/traits/main.nf delete mode 100644 tdbsumstat/utils/test_pvalues.py diff --git a/README.md b/README.md index b3e2b61..b115c9f 100755 --- a/README.md +++ b/README.md @@ -29,6 +29,10 @@ make install #### Verify installation tdbsumstat --help +#### Run with nextflow + +If you are running the pipeline with nextflow change the path where the conda env is stored in conf/base.config + #### To check how to use the Nextflow pipeline for extracting and ingesting data please refer here [HERE](https://github.com/HTGenomeAnalysisUnit/TileDB-sumstat/blob/nextflow_branch/docs/README.md) diff --git a/conf/base.config b/conf/base.config index 9cedcb1..3bb4800 100644 --- a/conf/base.config +++ b/conf/base.config @@ -1,5 +1,9 @@ process { +<<<<<<< HEAD conda = "/software/cardinal_analysis/ht/conda_envs/tdbsumstat/" +======= + conda = "/home/bruno.ariano/conda_envs/tdbsumstat" +>>>>>>> eca170d (Adding trait extraction) // conda = "${projectDir}/pipeline_environment.yml" // memory errors which should be retried. otherwise error out diff --git a/conf/test.config b/conf/test.config index e0c950e..46f8b90 100644 --- a/conf/test.config +++ b/conf/test.config @@ -18,7 +18,7 @@ profiles { test_export_lb { params { export = true - tiledb_path = "${projectDir}/example_data/TileDB_test" + uri_path = "/home/bruno.ariano/TileDB-sumstat/example_data/TileDB_test" locusbreaker = true out = "out" type_sumstat = "qtl" @@ -27,18 +27,29 @@ profiles { maf_lb = 0.001 locus_max_size_lb = 3000000 cis_trans_lb = "cis" - table_lb = "${projectDir}/example_data/locusbreaker_test_table.csv" + table_lb = "/home/bruno.ariano/TileDB-sumstat/example_data/locusbreaker_test_table_sc.csv" batch_name = null outdir = "./results" // Add this missing parameter publish_dir_mode = 'copy' // Add this missing parameter } } - test_export_snp { params { export = true - tiledb_path = "/project/cardinal/QTLs/freeze3/TileDBs/ukb_cis/TileDB_f3_UKB_cis_celltype2" - snp = "/group/soranzo/alessandro.raveane/cardinal_coloc/current_analyses/between_population_diseaseF3/result_processing/tables/mostlikleysnp_gh_all_25_11_17.csv" + uri_path = "${projectDir}/example_data/TileDB_test" + snp = "${projectDir}/example_data/snp_list_sc.csv" + attrs = "SE,BETA" + out = "out" + type_sumstat = "qtl" + outdir = "./results" // Add this missing parameter + publish_dir_mode = 'copy' // Add this missing parameter + } + } + test_export_regions { + params { + export = true + uri_path = "${projectDir}/example_data/TileDB_test" + regions = "${projectDir}/example_data/region_list_sc.csv" attrs = "SE,BETA" out = "out" type_sumstat = "qtl" @@ -46,4 +57,16 @@ profiles { publish_dir_mode = 'copy' // Add this missing parameter } } + test_export_traits { + params { + export = true + uri_path = "/home/bruno.ariano/TileDB-sumstat/example_data/TileDB_test" + export_traits = "/home/bruno.ariano/TileDB-sumstat/example_data/trait_list.csv" + out = "out" + type_sumstat = "qtl" + outdir = "./results" // Add this missing parameter + publish_dir_mode = 'copy' // Add this missing parameter + tiledb_batch_size = 1 + } + } } \ No newline at end of file diff --git a/docs/README.md b/docs/README.md index 3ddf4a5..366d76b 100755 --- a/docs/README.md +++ b/docs/README.md @@ -2,154 +2,191 @@ TileDB-sumstat is a Nextflow + Python toolkit for scalable ingestion and export of genetic association summary statistics (GWAS and single‑cell QTL). It uses TileDB as the underlying storage engine and provides pipelines and utilities to import, query and export summary statistics at scale. +## Table of Contents + +- [Requirements](#requirements) +- [Pipeline Overview](#pipeline-overview) +- [Usage with Nextflow](#usage-with-nextflow) + - [Ingestion](#ingestion) + - [Export](#export) + - [SNP-based Export](#snp-based-export) + - [Region-based Export](#region-based-export) + - [Locusbreaker](#locusbreaker) +- [Test Data](#test-data) +- [Support and Contribution](#support-and-contribution) + + --- ## Requirements Before running the pipeline, make sure you have: -- Nextflow (recommended v24.04+) -- Python (recommended 3.8+) -- TileDB (library/runtime as required by the Python TileDB package) -- Conda (the pipeline includes conda profiles for environment management) -- A working Slurm cluster (only if you use the `conda_slurm` profile) or a local environment +- **Nextflow** (recommended v24.04+) +- **Python** (recommended 3.8+) +- **Conda** (the pipeline includes conda profiles for environment management) + See the repository main README for detailed environment setup and instructions to create the conda environments used by the pipeline. --- -## Quick start +## Pipeline Overview -The pipeline exposes two primary workflows: ingestion and export. You can run either (or both) using Nextflow. +TileDB-sumstat implements two main workflows executed in separate steps: -Examples below use `main.nf` and placeholder values — replace them with your actual paths and parameters. +1. **Ingestion** — Import summary statistics files into a TileDB array +2. **Export** — Query the TileDB array and export results by: + - SNP + - Genomic region + - Entire summary statistics + - Clumping using the "Locusbreaker" algorithm -Example: export SNPs -```bash -nextflow run main.nf -profile conda_slurm \ - --export true \ - --tiledb_path /path/to/tiledb \ - --snp /path/to/snp_list.csv \ - --attrs "BETA,SE,PVAL,EAF,A1,A2" \ - --out /path/to/output_prefix \ - --type_sumstat gwas \ - --tiledb_batch_size 100 -``` +The program can be used with Nextflow or as standalone Python utilities. -Example: export regions -```bash -nextflow run main.nf -profile conda \ - --export true \ - --tiledb_path /path/to/tiledb \ - --table-regions /path/to/regions_table.csv \ - --attrs "BETA,SE,PVAL" \ - --out /path/to/output_prefix \ - --type_sumstat gwas \ - --tiledb_batch_size 100 -``` +--- + +## Usage with Nextflow + +Examples below use main.nf with placeholder values — replace them with your actual paths and parameters. + +### Ingestion + +Import summary statistics files into a TileDB array. + +#### Required Files + +- **Mapping File** (.csv): Maps input GWAS columns to standard TileDB-sumstat columns. See `example_data/mapping_file_test` for format. First column: original GWAS names, second column: converted names. +- **Data Table**: Lists files to ingest. See `example_data/example_data_table.csv`. Must include: + - Path to GWAS files + - Optional: Additional columns can be added to this file if they are not present in the summary statistics: + - `N`: Sample size for specific summary statistics + - `N_CASES`: Sample size for cases specific to a summary statistics + - `N_CONTROLS`: Sample size for controls specific to a summary statistics + - `CELL`: Cell name for single QTL studies + - `GENE`: GENE name for single QTL studies + - `PHENO_VAR`: Phenotypic variance for the specific trait (only for QTLs single cell) + - `TRAIT`: Trait name for GWAS studies + +#### Parameters + +**Required:** +- `--ingest` (flag to enable ingestion) +- `--file_path_ingestion` (path to data table file) +- `--type_sumstat` (either `gwas` or `qtl`) + +**Optional:** +- `--qc` (enable QC processing) +- `--ingestion_chunk_files` (number of files to ingest simultaneously, default: 4) -Example: ingestion of summary statistics +#### Example ```bash -nextflow run main.nf -profile conda \ - --ingest true \ - --file_path_ingestion /path/to/files_table.csv \ - --mapping_file /path/to/mapping_file.tsv \ - --type_sumstat gwas \ - --qc false \ - --ingestion_chunk_files 4 +nextflow run main.nf -profile conda --ingest --file_path_ingestion example_data/example_data_table.csv --mapping_file example_data/mapping_file_test.csv --type_sumstat qtl --ingestion_chunk_files 4 ``` -- A mapping file maps observed column names in your input files to the standardized column names expected by TileDB-sumstat. See `example_data/mapping_file_test` for an example. -- A table listing files to ingest is provided in `example_data/example_data_table.csv`. -- Example SNP list: `example_data/snp_list.csv`. -- Example regions table: `example_data/example_data_table.csv`. +Using Nextflow profile you can also use -Quick test run (uses small test datasets/configs): ```bash -nextflow run main.nf -profile test_export_lb,conda +nextflow run main.nf -profile test_ingest,conda ``` ---- -## Pipeline overview +### Export -TileDB-sumstat implements two main workflows executed in separate steps: +Query and export data from the TileDB array. -1. Ingestion — import summary statistics files into a TileDB array. -2. Export — query the TileDB array and export results by SNP, region or using the "Locusbreaker" algorithm. +#### Common Parameters -### Step 1 — Ingestion +**Required:**: +- --export (flag to enable export) +- --tiledb_path (path to TileDB array) +- --out (output file prefix) +- --type_sumstat (type of summary statistics, either gwas or qtl for single cell) -Purpose: ingest summary statistics files into TileDB. +**Optional**: +- --attrs (attributes to export, e.g., "BETA,SE,PVAL,EAF,A1,A2") -Required inputs and key parameters: +#### SNP-based Export -| Parameter | Description | -|---|---| -| file_path_ingestion | CSV file listing summary-statistic files to ingest (paths). | -| mapping_file | Mapping file that maps columns in each input file to the standardized column names required by TileDB-sumstat. | -| type_sumstat | Type of summary statistics: `gwas` or `qtl` (single-cell QTL). | -| qc | Whether to perform QC before ingestion (`true`/`false`). | -| ingestion_chunk_files | Number of files to ingest in parallel (controls parallelism). | +Extract specific SNP positions. -Notes: -- Check `example_data/` for sample ingestion tables and mapping files. -- Ensure the mapping file correctly maps input column names (e.g., SNP, CHR, POS, A1, A2, BETA, SE, PVAL, etc.) to expected internal names. +**Required** +- --snp (path to SNP list file) -### Step 2 — Export +Example Files: +- GWAS: example_data/snp_list_gwas.csv +- Single-cell: example_data/snp_list_sc.csv -Purpose: query TileDB and export summary statistics. There are common parameters and mode-specific parameters (SNP, region, or Locusbreaker). +#### Example: +```bash +nextflow run main.nf -profile conda --export --tiledb_path /path/to/tiledb --snp /path/to/snp_list.csv --attrs "BETA,SE,PVAL,EAF,A1,A2" --out /path/to/output_prefix --type_sumstat gwas +``` +#### Region-based Export -Common parameters: +Extract genomic regions using BED format. + +**Required:** +- --table-regions (path to regions file) + +Example: +```bash +nextflow run main.nf -profile conda --export --tiledb_path /path/to/tiledb --table-regions /path/to/regions_table.csv --attrs "BETA,SE,PVAL" --out /path/to/output_prefix --type_sumstat gwas +``` -| Parameter | Description | -|---|---| -| export | Activate export workflow (`true`/`false`). | -| tiledb_path | Path to the TileDB dataset/array. | -| attrs | Comma-separated list of attributes to export (e.g., `BETA,SE,PVAL,EAF,A1,A2`). | -| tiledb_batch_size | Batch size for processing the set of SNPs or regions (controls memory/parallelism). | -| out | Output path or prefix. Batch runs append a suffix for each batch. | +Quick Test: +```bash +nextflow run main.nf -profile test_export_lb,conda +``` -Export modes +#### Locusbreaker -- SNP/Regions export: - - SNP export: provide `--snp /path/to/snp_list.csv` (list of SNP identifiers or positions). - - Regions export: provide `--table-regions /path/to/regions_table.csv` (table with regions to query). +Identify genomic loci with significant associations and export locus-centric results. -- Locusbreaker export: - - Locusbreaker identifies genomic loci with significant associations and exports locus-centric results (peaks). - - Parameters: +**Required:** +- --table-lb (path to traits table, see example_data/locusbreaker_test_table.csv) -| Parameter | Description | -|---|---| -| maf_lb | Minor allele frequency filter applied before locus calling. | -| locus_max_size_lb | Maximum allowed size for a Locusbreaker region (e.g., in base pairs). | -| hole_lb | Maximum allowed gap (in base pairs) inside a locus before splitting (defines peak continuity). | -| cis_trans_lb | For QTLs: choose whether to filter by cis or trans (e.g., cis = within 1Mb). | -| table_lb | Table listing traits / datasets to perform locus-breaking on (see `example_data/locusbreaker_test_table.csv`). | +**Optional** +- --maf-lb (minor allele frequency filter) +- --locus-max-size (maximum locus size in base pairs) +- --hole-lb (maximum gap size within loci in base pairs) +- --cis-trans (for QTLs: filter by cis or trans) -Locusbreaker algorithm (brief) -- Select SNPs below a given p-value threshold (suggested LIM = 1e-6). SNPs are grouped if consecutive SNPs are closer than a distance threshold (suggested 250 kb). -- Groups (putative loci) are retained if they contain at least one genome-wide significant SNP (suggested SIG = 5e-8). -- Locus boundaries can be expanded by a margin (e.g., +100 kb) to ensure full coverage of the association signal. -- Additional filters (MAF, maximum locus size, cis/trans selection for QTL) are applied during locus selection. +Locusbreaker Algorithm: +1. Select SNPs below p-value threshold (suggested: 1e-6) +2. Group consecutive SNPs within distance threshold (suggested: 250 kb) +3. Retain groups containing at least one genome-wide significant SNP (suggested: 5e-8) +4. Expand locus boundaries by margin (e.g., +100 kb) +5. Apply additional filters (MAF, locus size, cis/trans) --- -## Examples and test data +#### Metadata extraction -- example_data/snp_list.csv — example SNP list for SNP-based export. -- example_data/example_data_table.csv — example table used for regions and ingestion. -- example_data/mapping_file_test — example mapping file for ingestion. -- example_data/locusbreaker_test_table.csv — example table for running Locusbreaker. +Metadata are structured as json in tiledb. To extract them you can use the following command: ---- +```bash +tdbsumstat export metadata +``` -## Support and contribution +tiledb_meta +{'traits': [], 'CELL': ['Tgd'], 'Tgd': {'20': {'ENSG0000010000': {'ACAT': 0.0, 'N': 4000.0, 'PHENO_VAR': 1.0}, 'ENSG0000010001': {'ACAT': 0.0, 'N': 4000.0, 'PHENO_VAR': 1.0}}}} +## Test Data -If you find issues, please open an issue in the repository with a reproducible example and any error messages. Contributions are welcome — please open a pull request against the `main` branch and follow the repository contribution guidelines. +- example_data/snp_list.csv - Example SNP list for SNP-based export +- example_data/example_data_table.csv - Example table for regions and ingestion +- example_data/mapping_file_test - Example mapping file for ingestion +- example_data/locusbreaker_test_table.csv - Example table for Locusbreaker --- -If you'd like, I can open a pull request that replaces the current docs/README.md with this cleaned and corrected version. Would you like me to create that PR? -``` \ No newline at end of file +## Support and Contribution + +If you encounter issues, please open a GitHub issue with a reproducible example and error messages. + +Contributions are welcome! Please: +1. Fork the repository +2. Create a feature branch +3. Submit a pull request against the main branch +4. 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.splitText(by: params.tiledb_batch_size, keepHeader: true, file: true) @@ -43,10 +50,18 @@ workflow { def batch_index = (batch_file.name =~ /\.(\d+)\.csv$/)[0][1] tuple(batch_index, batch_file) }.set { tiledb_metadata_batches } - - tiledb_metadata_batches.view() EXPORT_LOCUSBREAKER(tiledb_metadata_batches) } + if (params.export_traits){ + Channel.fromPath(params.export_traits, checkIfExists:true) + .splitText(by: params.tiledb_batch_size, keepHeader: true, file: true) + .map { batch_file -> + def batch_index = (batch_file.name =~ /\.(\d+)\.csv$/)[0][1] + tuple(batch_index, batch_file) + }.set { tiledb_metadata_batches } + + TRAITS(tiledb_metadata_batches) + } } } \ No newline at end of file diff --git a/modules/create_tiledb/main.nf b/modules/create_tiledb/main.nf index f4953dd..a084b0c 100644 --- a/modules/create_tiledb/main.nf +++ b/modules/create_tiledb/main.nf @@ -15,7 +15,7 @@ process CREATE_TILEDB { // Define the shell script to execute script: """ - tdbsumstat ingest --uri-path TileDB_${params.tiledb_name} \ + tdbsumstat ingest --uri-path TileDB_${params.uri_path} \ --create-tiledb \ --mapping-file ${mapping_file} \ --type-sumstat ${params.type_sumstat} diff --git a/modules/locusbreaker/main.nf b/modules/locusbreaker/main.nf index 5db2c2c..537d1c7 100644 --- a/modules/locusbreaker/main.nf +++ b/modules/locusbreaker/main.nf @@ -19,7 +19,7 @@ process EXPORT_LOCUSBREAKER { """ tdbsumstat export \ --table-lb ${traits_list_table} \ - --tiledb-path ${params.tiledb_path} \ + --uri-path ${params.uri_path} \ --out ${params.out} \ --maf-lb ${params.maf_lb} \ --type-sumstat ${params.type_sumstat} \ diff --git a/modules/regions/main.nf b/modules/regions/main.nf index a492d46..0012daa 100644 --- a/modules/regions/main.nf +++ b/modules/regions/main.nf @@ -21,14 +21,9 @@ process EXPORT_REGIONS { """ tdbsumstat --workers ${params.workers} \ export \ - --table ${traits_list_table} \ - --uri-path ${params.tiledb_uri} \ - --out_lb "out" \ - --maf ${params.tiledb_lb_maf} \ + --table_regions ${traits_list_table} \ + --uri-path ${params.uri_path} \ --type-sumstat ${params.tiledb_lb_typesumstat} \ - --hole ${params.tiledb_lb_hole} \ - --locus-max-size ${params.tiledb_large_locus_size} \ - --locusbreaker \ --batch-name ${batch_index} """ } diff --git a/modules/snp/main.nf b/modules/snp/main.nf index 5055a7f..c01a4b8 100644 --- a/modules/snp/main.nf +++ b/modules/snp/main.nf @@ -25,7 +25,7 @@ EOF tdbsumstat export \ --snp batch_${chr}.csv \ --attr ${params.attrs} \ - --tiledb-path ${params.tiledb_path} \ + --uri-path ${params.uri_path} \ --out ${params.out} \ --type-sumstat ${params.type_sumstat} """ diff --git a/modules/traits/main.nf b/modules/traits/main.nf new file mode 100644 index 0000000..69b2311 --- /dev/null +++ b/modules/traits/main.nf @@ -0,0 +1,24 @@ +process TRAITS{ + label 'process_high' + publishDir "${params.outdir}/gwas_and_loci_tables/", mode: params.publish_dir_mode + + + // Define input + input: + tuple val(batch_index), path(traits_list_table) + + // Define output + output: + path("*_${batch_index}.csv"), emit:ltbd_traits, optional: true + + // Define the shell script to execute + script: + """ + tdbsumstat \ + export \ + --trait-list ${traits_list_table} \ + --uri-path ${params.uri_path} \ + --batch-name ${batch_index} \ + --type-sumstat ${params.type_sumstat} + """ +} diff --git a/nextflow.config b/nextflow.config index df645ce..b8e749d 100644 --- a/nextflow.config +++ b/nextflow.config @@ -4,7 +4,6 @@ params { type_sumstat = null // -- TileDB ingestion -- - ingest = null file_path_ingestion = null mapping_file = null ingestion = null @@ -16,20 +15,26 @@ params { // -- TileDB export -- export = null attrs = "P,SNPID,EAF,BETA,SE" - tiledb_path = null + uri_path = null snp = null + export_traits = null regions = null sumstat = null // -- Locusbreaker options -- locusbreaker = null - hole_lb = null - maf_lb = null - locus_max_size_lb = null - cis_trans_lb = null + hole_lb = 250000 + maf_lb = 0 + locus_max_size_lb = 2000000 + cis_trans_lb = "cis" table_lb = null +<<<<<<< HEAD tiledb_batch_size = null batch_name = null +======= + tiledb_batch_size = 4 + batch_name_lb = null +>>>>>>> eca170d (Adding trait extraction) // Config options (like your colleague) custom_config_version = 'master' @@ -134,6 +139,7 @@ profiles { test_ingest { includeConfig 'conf/test.config' } test_export_lb { includeConfig 'conf/test.config' } test_export_snp { includeConfig 'conf/test.config' } + test_export_traits { includeConfig 'conf/test.config' } } // Execution reporting diff --git a/tdbsumstat/cli/export.py b/tdbsumstat/cli/export.py index 9dfc459..32a4d89 100755 --- a/tdbsumstat/cli/export.py +++ b/tdbsumstat/cli/export.py @@ -16,10 +16,11 @@ @cloup.command("export", no_args_is_help=True, help=help_doc) @cloup.option_group( "Options for querying specific chromosomes, cells, genes or positions in the TileDB", - cloup.option("--tiledb-path", default = None, type=str, help = "path of TileDB"), + cloup.option("--uri-path", default = None, type=str, help = "path of TileDB"), cloup.option("--table-regions", default = None, type=str, help = "Regions to interrogate from a table"), - cloup.option("--trait", default = None, type=str, help = "Trait to filter the for an entire summary statistics"), + cloup.option("--trait-list", default = None, type=str, help = "List of entire traits to filter"), cloup.option("--attr", default = "P,SNPID,EAF,BETA,SE", type=str, help = "Attributes to output"), + cloup.option("--export-meta", is_flag = True, default = False, type=str, help = "Get metadata from TileDB"), cloup.option("--snp", default = None, type=str, help = "List of SNPs to interrogate taken from a txt file. Please check README for details on the format of this file"), cloup.option("--batch-name", default = None, type=str, help = "Name of the batch") ) @@ -41,12 +42,13 @@ @click.pass_context def export( ctx, - tiledb_path: str, + uri_path: str, type_sumstat: str, table_regions: str, - trait:str, + trait_list:str, attr: str, snp: str, + export_meta:bool, locusbreaker: bool, maf_lb: float, cis_trans_lb: str, @@ -57,7 +59,7 @@ def export( batch_name:str ): #Open connection with TileDB - tiledb_export = tiledb.open(tiledb_path, mode="r") + tiledb_export = tiledb.open(uri_path, mode="r") metadata = json.loads(tiledb_export.meta["merged_metadata"]) rows = [] if type_sumstat == "qtl": @@ -79,12 +81,6 @@ def export( **metadata[trait] }) df_meta = pl.DataFrame(rows) - #Print only the schema of the tiledb - #Get list of genes, cell type and positions or create ones - unique_positions = slice(None) - if not trait: - trait = slice(None) - #Intersect the tiledb with a list of SNPs if snp: snp_list = pd.read_csv(snp, dtype = {"CHR":int, "POS":np.uint32, "TRAIT":str}) if type_sumstat == "gwas": @@ -133,8 +129,8 @@ def export( region.to_csv(out, mode='a', index = False, header = False) elif locusbreaker: print("Starting LocusBreaker") - def query_spec(tiledb_path, chrom:int, trait: str = None, cell: str = None, gene: str = None, type_sumstat:str = "scqtl"): - with tiledb.open(tiledb_path, mode="r") as tiledb_data: + def query_spec(uri_path, chrom:int, trait: str = None, cell: str = None, gene: str = None, type_sumstat:str = "scqtl"): + with tiledb.open(uri_path, mode="r") as tiledb_data: if type_sumstat == "gwas": tiledb_filtered = tiledb_data.query(dims=['CHR','TRAIT','POS']).df[chrom, trait, :] else: @@ -150,10 +146,10 @@ def query_spec(tiledb_path, chrom:int, trait: str = None, cell: str = None, gene pvalue_limit = trait["LIM"] if type_sumstat == "gwas": - query = query_spec(tiledb_path, trait["CHR"], trait=trait["TRAIT"], type_sumstat=type_sumstat) + query = query_spec(uri_path, trait["CHR"], trait=trait["TRAIT"], type_sumstat=type_sumstat) else: cell,genes = trait["TRAIT"].split(":") - query = query_spec(tiledb_path, trait["CHR"], cell=cell, gene=genes, type_sumstat=type_sumstat) + query = query_spec(uri_path, trait["CHR"], cell=cell, gene=genes, type_sumstat=type_sumstat) result = locusbreaker_plpl(query, maf=maf_lb, @@ -176,19 +172,53 @@ def query_spec(tiledb_path, chrom:int, trait: str = None, cell: str = None, gene write_header_segment = not os.path.exists(f"{out}_batch_{batch_name}_segment.csv") interval.to_csv(f"{out}_batch_{batch_name}_interval.csv", mode="a", index=False, header = write_header_interval) segments.to_csv(f"{out}_batch_{batch_name}_segment.csv", mode="a", index=False, header = write_header_segment) + elif export_meta: + tiledb_db = tiledb.open(uri_path, mode="r") + tiledb_meta = json.loads(tiledb_db.meta['merged_metadata']) + if type_sumstat == "qtl": + rows = [] + for cell_type in tiledb_meta["CELL"]: + samples = tiledb_meta.get(cell_type, {}) + for sample_id, genes in samples.items(): + for gene_id, metrics in genes.items(): + rows.append({ + "CELL": cell_type, + "CHR": sample_id, + "GENE": gene_id, + **metrics + }) + else: + for trait in tiledb_meta["traits"]: + samples = tiledb_meta.get(trait, {}) + for chrom, genes in samples.items(): + for gene_id, metrics in genes.items(): + rows.append({ + "CELL": cell_type, + "CRH": chrom, + **metrics + }) + + df = pd.DataFrame(rows) + df.to_csv(f"{out}_meta.csv", index = False) + else: - with tiledb.open(tiledb_path, mode="r") as A: + trait_list_pd = pd.read_csv(trait_list) + with tiledb.open(uri_path, mode="r") as A: if type_sumstat == "gwas": + trait_list_np = trait_list_pd["TRAIT"].to_list() tiledb_iterator = A.query( return_incomplete=True, attrs=attr.split(",") - ).df[chrom, trait , unique_positions] + ).df[:, trait_list_np , :] else: + trait_list_pd[['cell','gene']] = trait_list_pd['TRAIT'].str.split(':', expand = True) + cells = trait_list_pd['cell'].to_list() + gene = trait_list_pd['gene'].to_list() tiledb_iterator = A.query( return_incomplete=True, attrs=attr.split(",") - ).df[chrom, cell, gene , unique_positions] + ).df[:, cells, gene , :] for chunk in tiledb_iterator: - chunk.to_csv(out + ".csv", mode="a", index=False, header = True) + chunk.to_csv(f"{out}_{batch_name}.csv", mode="a", index=False, header = True) print(f"Saved filtered summary statistics in {out}") diff --git a/tdbsumstat/cli/ingestion.py b/tdbsumstat/cli/ingestion.py index 9880a7a..9670295 100755 --- a/tdbsumstat/cli/ingestion.py +++ b/tdbsumstat/cli/ingestion.py @@ -23,9 +23,11 @@ cloup.option("--sep", default = "\t", type=str, help = "pvar file used to verify the alleles order"), cloup.option("--mac", default = None, type=int, help = "Allele count filter"), cloup.option("--qc", is_flag=True, type=bool, default = False, help = "Harmonize and QC the summary statistics using gwaslab"), + cloup.option("--mac", default=None, type=int, help = "Minor allele count filter during ingestion"), cloup.option("--only-meta", is_flag=True, type=bool, default = False, help = "Create and ingest metadata") ) +<<<<<<< HEAD def ingest(uri_path:str, sep:str, type_trait:str, @@ -37,6 +39,9 @@ def ingest(uri_path:str, qc:bool = False, only_meta:bool = False, mac:int = None): +======= +def ingest(uri_path:str, sep:str, type_trait:str, mapping_file:str, file_path:str, create_tiledb:bool, type_sumstat:str, mac:int, pvar_file:str = None, qc:bool = False, only_meta:bool = False): +>>>>>>> eca170d (Adding trait extraction) # Create a Harmonize object print("Starting ingestion") harmonized_object = Harmonize(mapping_file= mapping_file, uri=uri_path, type_sumstat=type_sumstat, pvar_file = pvar_file, type_trait = type_trait, mac = mac) @@ -54,29 +59,16 @@ def ingest(uri_path:str, file_list = pd.read_csv(file_path, sep=",", header=0, dtype=str) harmonized_object.create_mapping() - cell = None - gene = None - trait = None - n = None - n_cases = None - n_controls = None for record_index, record in file_list.iterrows(): file = record["FILE"] - if "N" in file_list.columns: - n = record["N"] - if "N_CASES" in file_list.columns: - n_cases = record["N_CASES"] - if "N_CONTROLS" in file_list.columns: - n_controls = record["N_CONTROLS"] - if type_sumstat == "qtl": - if "CELL" in file_list.columns: - cell = record["CELL"] - if "GENE" in file_list.columns: - gene = record["GENE"] - if type_sumstat == "gwas": - if "TRAIT" in file_list.columns: - trait = record["TRAIT"] + n = record.get("N") + n_cases = record.get("N_CASES") + n_controls = record.get("N_CONTROLS") + cell = record.get("CELL") + gene = record.get("GENE") + pheno_var = record.get("PHENO_VAR", 1) + trait = record.get("TRAIT") if not os.path.exists(file): print(f"File {file} does not exist. Skipping.") @@ -84,13 +76,25 @@ def ingest(uri_path:str, print(f"Processing file: {file}") # Harmonize the data print(f"Harmonizing file: {file}") +<<<<<<< HEAD chunk_pl = pl.read_csv(file,separator=sep,low_memory=True ,null_values="NA", ignore_errors = True) harmonized_object.harmonize(sumstat = chunk_pl, trait = trait, cell = cell, gene = gene, n = n, n_cases = n_cases, n_controls = n_controls) +======= + chunk_pl = pl.read_csv(file,separator=sep,low_memory=True ,null_values="NA") + harmonized_object.harmonize(sumstat = chunk_pl, trait = trait, cell = cell, gene = gene, pheno_var = pheno_var, n = n, n_cases = n_cases, n_controls = n_controls, mac = mac) +>>>>>>> eca170d (Adding trait extraction) #Performing QC using GWASLAB if qc: harmonized_object.qc_sumstat(file_path = file) # Ingest the data +<<<<<<< HEAD print(f"Ingesting data: {file}") harmonized_object.ingest_data(file_path = file) harmonized_object.create_metadata(file_path = file) +======= + else: + print(f"Ingesting data: {file}") + harmonized_object.ingest_data(file_path = file) + harmonized_object.create_metadata(file_path = file) +>>>>>>> eca170d (Adding trait extraction) diff --git a/tdbsumstat/utils/create_dummy_data_sc.py b/tdbsumstat/utils/create_dummy_data_sc.py index 8ce9371..c137b34 100755 --- a/tdbsumstat/utils/create_dummy_data_sc.py +++ b/tdbsumstat/utils/create_dummy_data_sc.py @@ -5,11 +5,12 @@ @click.command() @click.option("--num_snps", default=10000, help="Total number of SNPs to create") @click.option("--num_snps_gene", default=2000, help="How many SNPs each gene should have") -@click.option("--out_csv", default="dummy_out.tsv.gz", help="Where to send the output") +@click.option("--out_csv", default="dummy_out", help="Where to send the output") def create_dummy_data(num_snps, num_snps_gene, out_csv): # Initialize lists for each column - phenotype_ids = [] + + gene_ids = [] variant_ids = [] start_distances = [] afs = [] @@ -18,11 +19,15 @@ def create_dummy_data(num_snps, num_snps_gene, out_csv): pval_nominals = [] slopes = [] slope_ses = [] + positions = [] + a1s = [] + a2s = [] # Keep track of generated variant IDs to avoid duplicates generated_variant_ids = set() + num_genes = 2 - num_genes = round(num_snps / num_snps_gene) + #num_genes = round(num_snps / num_snps_gene) for gene_idx in range(num_genes): # Generate unique phenotype_id for this gene phenotype_id = f"ENSG00000{num_snps + gene_idx}" @@ -36,8 +41,8 @@ def create_dummy_data(num_snps, num_snps_gene, out_csv): a1 = np.random.choice(['A', 'T', 'C', 'G']) a2 = np.random.choice(['A', 'T', 'C', 'G']) - variant_id = f"chr20_{pos}_{a1}_{a2}" - variant_reverse_id = f"chr20_{pos}_{a2}_{a1}" + variant_id = f"chr20:{pos}:{a1}:{a2}" + variant_reverse_id = f"chr20:{pos}:{a2}:{a1}" if variant_id not in generated_variant_ids and variant_reverse_id not in generated_variant_ids: generated_variant_ids.add(variant_id) @@ -47,6 +52,8 @@ def create_dummy_data(num_snps, num_snps_gene, out_csv): # Generate other columns with dummy data start_distance = np.random.randint(-500000, 500000) + a1s.append(a1) + a2s.append(a2) af = np.random.uniform(0, 1) ma_sample = np.random.randint(50, 200) ma_count = np.random.randint(50, 300) @@ -55,35 +62,39 @@ def create_dummy_data(num_snps, num_snps_gene, out_csv): slope_se = np.random.uniform(0.001, 1) # Append data to lists - phenotype_ids.append(phenotype_id) + gene_ids.append(phenotype_id) variant_ids.append(variant_id) start_distances.append(start_distance) afs.append(af) + positions.append(pos) ma_samples.append(ma_sample) ma_counts.append(ma_count) pval_nominals.append(pval_nominal) slopes.append(slope) slope_ses.append(slope_se) - # Create a DataFrame - data = { - "phenotype_id": phenotype_ids, - "variant_id": variant_ids, - "start_distance": start_distances, - "af": afs, - "ma_samples": ma_samples, - "ma_count": ma_counts, - "pval_nominal": pval_nominals, - "slope": slopes, - "slope_se": slope_ses - } + # Create a DataFrame + data = { + "Chr":20, + "Gene":gene_ids, + "cell.type": "Tgd", + "pos": positions, + "a0":a1, + "a1":a2, + "SNP": variant_ids, + "START": start_distances, + "EAF": afs, + "p": pval_nominals, + "beta": slopes, + "se": slope_ses + } - df = pd.DataFrame(data) + df = pd.DataFrame(data) - # Save to a CSV file - df.to_csv(out_csv, index=False, sep="\t", compression="gzip") + # Save to a CSV file + df.to_csv(f"{out_csv}_{phenotype_id}.tsv.gz", index=False, sep="\t", compression="gzip") - print(f"Dummy data file created: {out_csv}") + print(f"Dummy data file created: {out_csv}") if __name__ == '__main__': create_dummy_data() diff --git a/tdbsumstat/utils/harmonize_ingest.py b/tdbsumstat/utils/harmonize_ingest.py index 294a9d2..3a468f5 100755 --- a/tdbsumstat/utils/harmonize_ingest.py +++ b/tdbsumstat/utils/harmonize_ingest.py @@ -113,7 +113,16 @@ def align_alleles(self): pl.when(swap).then(pl.col("EAF")).otherwise(1.0-pl.col("EAF")) ]) - def harmonize(self, sumstat, trait: str = None, cell: str = None, gene: str = None, n: int = None, n_controls: int = None,n_cases: int = None, qc:bool = False): + def harmonize(self, + sumstat, + mac: int, + trait: str = None, + cell: str = None, + gene: str = None, + pheno_var:int = None, + n: int = None, + n_controls: int = None, + n_cases: int = None): """Load and rename columns, and ensure CHR/POS exist.""" self.chunk_pl = sumstat.rename(self.mapping_types) # If CHR/POS missing, extract from SNP ID @@ -124,7 +133,20 @@ def harmonize(self, sumstat, trait: str = None, cell: str = None, gene: str = No .struct.rename_fields(["CHR", "POS", "A1", "A2"]) .alias("fields") ).unnest("fields") +<<<<<<< HEAD +======= + + if "SNPID" in self.chunk_pl.columns: + self.chunk_pl = self.chunk_pl.drop("SNPID") + if "EAF" not in self.chunk_pl.columns: + self.chunk_pl = self.chunk_pl.with_columns(pl.lit(0).alias("EAF")) + if "DIST" not in self.chunk_pl.columns: + self.chunk_pl = self.chunk_pl.with_columns(pl.lit(1).alias("DIST")) + #Check for removing double headers + self.chunk_pl = self.chunk_pl.filter(pl.col('CHR')=='CHR') + +>>>>>>> eca170d (Adding trait extraction) if self.type_trait == "quant": if not "N" in self.chunk_pl.columns: if n is not None: @@ -133,14 +155,21 @@ def harmonize(self, sumstat, trait: str = None, cell: str = None, gene: str = No ) else: raise HarmonizationError("N column is missing and N parameter is not provided") +<<<<<<< HEAD if self.mac is not None: self.chunk_pl = self.chunk_pl.with_columns( (2 * pl.col("N") * pl.min_horizontal("EAF", (1 - pl.col("EAF")))) .alias("MAC") ).filter(pl.col("MAC") > self.mac) +======= + self.chunk_pl = self.chunk_pl.with_columns( + pl.lit(pheno_var).alias("PHENO_VAR") + ) + if mac is not None: + self.chunk_pl.map_rows() +>>>>>>> eca170d (Adding trait extraction) elif self.type_trait == "binary": - if not all(sample_size in self.chunk_pl.columns for sample_size in ["N_CASES", "N_CONTROLS"]): if not None in [n_cases, n_controls]: self.chunk_pl = self.chunk_pl.with_columns( @@ -158,15 +187,14 @@ def harmonize(self, sumstat, trait: str = None, cell: str = None, gene: str = No else: raise HarmonizationError("Type of trait must be either binary or quant") +<<<<<<< HEAD if "SNPID" in self.chunk_pl.columns: self.chunk_pl = self.chunk_pl.drop("SNPID") +======= +>>>>>>> eca170d (Adding trait extraction) - if "EAF" not in self.chunk_pl.columns: - self.chunk_pl = self.chunk_pl.with_columns(pl.lit(0).alias("EAF")) - if "DIST" not in self.chunk_pl.columns: - self.chunk_pl = self.chunk_pl.with_columns(pl.lit(1).alias("DIST")) #Here we always assumbe that the SNPs are in REF=A1 and ALT=A2 swap = pl.col("A1") < pl.col("A2") @@ -313,7 +341,7 @@ def qc_sumstat(self, file_path:str): se="SE", p="P", n="N", - other = ["CELL","GENE","RSID","DIST"]) + other = ["CELL","GENE","RSID","DIST","PHENO_VAR"]) #sumstat_gl.fix_id() sumstat_gl.fix_chr(remove=True) sumstat_gl.fix_pos(remove=True) @@ -389,7 +417,12 @@ def create_metadata(self, file_path: str): lambda s: pl.Series([acat_optimized(s)]), return_dtype=pl.Float64 ).alias("ACAT_LIST"), +<<<<<<< HEAD pl.col("N").drop_nulls().first().alias("N") +======= + pl.col("N").first().alias("N"), + pl.col("PHENO_VAR").first().alias("PHENO_VAR") +>>>>>>> eca170d (Adding trait extraction) ]) chr_gene_agg = chr_gene_agg.with_columns( pl.col("ACAT_LIST").list.first().alias("ACAT") @@ -405,6 +438,7 @@ def create_metadata(self, file_path: str): gene = row["GENE"] acat_val = row["ACAT"] n_val = float(row["N"]) + pheno_val = float(row["PHENO_VAR"]) if chrom not in metadata[cell]: metadata[cell][chrom] = {} @@ -412,7 +446,7 @@ def create_metadata(self, file_path: str): gene_metadata = { "ACAT": float(acat_val), "N": n_val, - "PHENO_VAR": 1.0 + "PHENO_VAR": pheno_val } metadata[cell][chrom][gene] = gene_metadata diff --git a/tdbsumstat/utils/test_pvalues.py b/tdbsumstat/utils/test_pvalues.py deleted file mode 100644 index e37d0e3..0000000 --- a/tdbsumstat/utils/test_pvalues.py +++ /dev/null @@ -1,129 +0,0 @@ -import tiledb -import pandas as pd -import polars as pl -tdb = tiledb.open("/project/cardinal/QTLs/freeze3/TileDBs/mashr/TileDB_mashr_ukb_celltype2_freeze3_large_chunks") -metadata = pd.read_csv("/group/soranzo/bruno.ariano/ingest_mashr_f3/mashr_metadata_missing.csv") -metadata_prior = pd.read_csv("/group/soranzo/bruno.ariano/ingest_mashr_f3/mashr_metadata_pvalues.csv") - -for record_index, record in df.iterrows(): - chr = record["CHR"] - cell,gene = record["CELL:GENE"].split(':') - df_query = tdb.query(dims=["GENE"], attrs = ["P"]).df_query[chr,cell,gene] - min_p = min(df_query["P"]) - print(chr) - print(cell) - print(min_p) - -import numpy as np - -# Create a new column in metadata to store min P values -metadata_df["MIN_P"] = np.nan - -for record_index, record in metadata_df.iterrows(): - chr = int(record["CHR"]) - cell, gene = record["CELL:GENE"].split(':') - # Query the TileDB array for the given coordinates - df_query = tdb.query(dims=["GENE"], attrs = ["P"]).df[chr,cell,gene,:] - # Take the minimum p-value - min_p = df_query["P"].min() - metadata_df.at[record_index, "MIN_P"] = min_p - print(chr) - print(cell) - print(min_p) -pd.concat[metadata_prior,metadata] - - - - -metadata_df["MIN_P"] = np.nan -metadata_df[["CELL", "GENE"]] = metadata_df["CELL:GENE"].str.split(":", expand=True) - -groups = list(metadata_df.groupby(["CHR", "CELL"])) # materialize groups -total_groups = len(groups) - -for i, ((chr_, cell), group) in enumerate(groups, start=1): - print(f"Processing group {i}/{total_groups} → CHR={chr_}, CELL={cell}", flush=True) - genes = group["GENE"].tolist() - df_query = tdb.query(dims=["GENE"], attrs=["P"]).df[int(chr_), cell, genes, :] - min_p_map = df_query.groupby("GENE")["P"].min().to_dict() - metadata_df.loc[group.index, "MIN_P"] = group["GENE"].map(min_p_map) - - -all_min_chunks = [] - -for chr_ in metadata_df["CHR"].unique(): - print(f"Reading CHR {chr_}...") - df_chr = tdb.query(attrs=["P"], dims=["CHR", "CELL", "GENE"]).df[int(chr_), :, :, :] - df_min_chr = df_chr.groupby(["CHR", "CELL", "GENE"], as_index=False)["P"].min() - all_min_chunks.append(df_min_chr) - -metadata_df[["CELL", "GENE"]] = metadata_df["CELL:GENE"].str.split(":", expand=True) -metadata_df["CHR"] = metadata_df["CHR"].astype(int) - -metadata_df = metadata_df.merge( - df_min, - on=["CHR", "CELL", "GENE"], - how="left", # keep all rows from merged_metadata - suffixes=("", "_min") -) - - - - -metadata_df_complete[["CELL", "GENE"]] = metadata_df_complete["CELL:GENE"].str.split(":", expand=True) - -for col in ["CHR", "CELL", "GENE"]: - metadata_df[col] = metadata_df[col].astype(str) - metadata_df_complete[col] = metadata_df_complete[col].astype(str) - -# Merge only the MIN_P column from df_with_minp -merged = metadata_df_complete.merge( - metadata_df[["CHR", "CELL", "GENE", "MIN_P"]], - on=["CHR", "CELL", "GENE"], - how="left", - suffixes=("", "_new") -) - -# Fill missing MIN_P values with the ones from df_with_minp -merged["MIN_P"] = merged["MIN_P"].fillna(merged["MIN_P_new"]) - -# Drop the temporary column -merged.drop(columns=["MIN_P_new"], inplace=True) - - - -with open("/project/cardinal/QTLs/freeze3/TileDBs/mashr/TileDB_mashr_ukb_celltype2_freeze3_large_chunks_metadata.json", "r") as f: - data = json.load(f) - - - - - -import json - -def parse_multiple_json(s): - objects = [] - decoder = json.JSONDecoder() - while s: - s = s.lstrip() # Skip leading whitespace - if not s: - break - try: - obj, idx = decoder.raw_decode(s) - objects.append(obj) - s = s[idx:] - except json.JSONDecodeError as e: - print(f"Stopped parsing at position {e.pos}: {e}") - print(f"Remaining unparsed data starts with: {s[:200]}...") - break - return objects - -# Usage in your REPL -file_path = "/lustre/scratch124/humgen/projects_v2/cardinal_analysis/analysis/core_dataset/freeze3/tiledbs/Tensor/TileDB_mashr_ukb_celltype2_freeze3_large_chunks_metadata.json" - -with open(file_path, "r") as f: - content = f.read() - -all_objects = parse_multiple_json(content) -print(f"Parsed {len(all_objects)} JSON objects.") -# all_objects[0] is the main metadata, all_objects[1:] are the gene-specific data \ No newline at end of file From 34af035365ed30167805ca64ede709e6ce456f1c Mon Sep 17 00:00:00 2001 From: bruno-ariano Date: Wed, 26 Nov 2025 23:14:42 +0100 Subject: [PATCH 57/61] Adding trait extraction --- conf/base.config | 4 ---- main.nf | 7 +------ nextflow.config | 7 +------ 3 files changed, 2 insertions(+), 16 deletions(-) diff --git a/conf/base.config b/conf/base.config index 3bb4800..7e329b0 100644 --- a/conf/base.config +++ b/conf/base.config @@ -1,9 +1,5 @@ process { -<<<<<<< HEAD - conda = "/software/cardinal_analysis/ht/conda_envs/tdbsumstat/" -======= conda = "/home/bruno.ariano/conda_envs/tdbsumstat" ->>>>>>> eca170d (Adding trait extraction) // conda = "${projectDir}/pipeline_environment.yml" // memory errors which should be retried. otherwise error out diff --git a/main.nf b/main.nf index f1666e4..a3c6ddf 100644 --- a/main.nf +++ b/main.nf @@ -37,12 +37,7 @@ workflow { .set { tiledb_metadata_batches } EXPORT_SNP(tiledb_metadata_batches) } -<<<<<<< HEAD -======= - if (params.regions){ - } ->>>>>>> eca170d (Adding trait extraction) if (params.locusbreaker){ Channel.fromPath(params.table_lb, checkIfExists:true) .splitText(by: params.tiledb_batch_size, keepHeader: true, file: true) @@ -62,6 +57,6 @@ workflow { }.set { tiledb_metadata_batches } TRAITS(tiledb_metadata_batches) - } + } } \ No newline at end of file diff --git a/nextflow.config b/nextflow.config index b8e749d..9ba662c 100644 --- a/nextflow.config +++ b/nextflow.config @@ -28,13 +28,8 @@ params { locus_max_size_lb = 2000000 cis_trans_lb = "cis" table_lb = null -<<<<<<< HEAD - tiledb_batch_size = null - batch_name = null -======= tiledb_batch_size = 4 batch_name_lb = null ->>>>>>> eca170d (Adding trait extraction) // Config options (like your colleague) custom_config_version = 'master' @@ -174,4 +169,4 @@ manifest { nextflowVersion = '!>=23.04' version = '0.1.0' doi = '' -} +} \ No newline at end of file From 7c2295f3772d60451ac87c0a6f0c71fb909b1e57 Mon Sep 17 00:00:00 2001 From: "bruno.ariano" Date: Thu, 27 Nov 2025 10:38:09 +0000 Subject: [PATCH 58/61] other fixes to do --- conf/base.config | 2 +- conf/test.config | 12 ++++++------ 2 files changed, 7 insertions(+), 7 deletions(-) diff --git a/conf/base.config b/conf/base.config index 7e329b0..e4cc35c 100644 --- a/conf/base.config +++ b/conf/base.config @@ -1,5 +1,5 @@ process { - conda = "/home/bruno.ariano/conda_envs/tdbsumstat" + conda = "/software/cardinal_analysis/ht/conda_envs/tdbsumstat" // conda = "${projectDir}/pipeline_environment.yml" // memory errors which should be retried. otherwise error out diff --git a/conf/test.config b/conf/test.config index 46f8b90..7b643bc 100644 --- a/conf/test.config +++ b/conf/test.config @@ -17,17 +17,17 @@ profiles { test_export_lb { params { - export = true - uri_path = "/home/bruno.ariano/TileDB-sumstat/example_data/TileDB_test" + export = true + uri_path = "/lustre/scratch124/humgen/projects_v2/cardinal_analysis/analysis/core_dataset/freeze3/tiledbs/Tensor/TileDB_metanalyses_gh_celltype2_freeze3" locusbreaker = true - out = "out" + out = "out_sushie" type_sumstat = "qtl" hole_lb = 250000 - tiledb_batch_size = 3 + tiledb_batch_size = 4 maf_lb = 0.001 locus_max_size_lb = 3000000 cis_trans_lb = "cis" - table_lb = "/home/bruno.ariano/TileDB-sumstat/example_data/locusbreaker_test_table_sc.csv" + table_lb = "/lustre/scratch124/humgen/projects_v2/cardinal_analysis/analysis/ba13/sushie/UKB_data/trait_sushie_ghspec_251120_lb_test.csv" batch_name = null outdir = "./results" // Add this missing parameter publish_dir_mode = 'copy' // Add this missing parameter @@ -69,4 +69,4 @@ profiles { tiledb_batch_size = 1 } } -} \ No newline at end of file +} From 621d040a1c2bf68aac33dc065309bc34ed2525a0 Mon Sep 17 00:00:00 2001 From: bruno-ariano Date: Thu, 27 Nov 2025 11:43:07 +0100 Subject: [PATCH 59/61] Fix conflicts --- tdbsumstat/cli/ingestion.py | 16 ---------------- tdbsumstat/utils/harmonize_ingest.py | 16 ---------------- 2 files changed, 32 deletions(-) diff --git a/tdbsumstat/cli/ingestion.py b/tdbsumstat/cli/ingestion.py index 9670295..f99f949 100755 --- a/tdbsumstat/cli/ingestion.py +++ b/tdbsumstat/cli/ingestion.py @@ -27,7 +27,6 @@ cloup.option("--only-meta", is_flag=True, type=bool, default = False, help = "Create and ingest metadata") ) -<<<<<<< HEAD def ingest(uri_path:str, sep:str, type_trait:str, @@ -39,9 +38,6 @@ def ingest(uri_path:str, qc:bool = False, only_meta:bool = False, mac:int = None): -======= -def ingest(uri_path:str, sep:str, type_trait:str, mapping_file:str, file_path:str, create_tiledb:bool, type_sumstat:str, mac:int, pvar_file:str = None, qc:bool = False, only_meta:bool = False): ->>>>>>> eca170d (Adding trait extraction) # Create a Harmonize object print("Starting ingestion") harmonized_object = Harmonize(mapping_file= mapping_file, uri=uri_path, type_sumstat=type_sumstat, pvar_file = pvar_file, type_trait = type_trait, mac = mac) @@ -76,25 +72,13 @@ def ingest(uri_path:str, sep:str, type_trait:str, mapping_file:str, file_path:st print(f"Processing file: {file}") # Harmonize the data print(f"Harmonizing file: {file}") -<<<<<<< HEAD - chunk_pl = pl.read_csv(file,separator=sep,low_memory=True ,null_values="NA", ignore_errors = True) - harmonized_object.harmonize(sumstat = chunk_pl, trait = trait, cell = cell, gene = gene, n = n, n_cases = n_cases, n_controls = n_controls) -======= chunk_pl = pl.read_csv(file,separator=sep,low_memory=True ,null_values="NA") harmonized_object.harmonize(sumstat = chunk_pl, trait = trait, cell = cell, gene = gene, pheno_var = pheno_var, n = n, n_cases = n_cases, n_controls = n_controls, mac = mac) ->>>>>>> eca170d (Adding trait extraction) #Performing QC using GWASLAB if qc: harmonized_object.qc_sumstat(file_path = file) # Ingest the data -<<<<<<< HEAD - print(f"Ingesting data: {file}") - harmonized_object.ingest_data(file_path = file) - harmonized_object.create_metadata(file_path = file) - -======= else: print(f"Ingesting data: {file}") harmonized_object.ingest_data(file_path = file) harmonized_object.create_metadata(file_path = file) ->>>>>>> eca170d (Adding trait extraction) diff --git a/tdbsumstat/utils/harmonize_ingest.py b/tdbsumstat/utils/harmonize_ingest.py index 3a468f5..3d4a195 100755 --- a/tdbsumstat/utils/harmonize_ingest.py +++ b/tdbsumstat/utils/harmonize_ingest.py @@ -133,9 +133,6 @@ def harmonize(self, .struct.rename_fields(["CHR", "POS", "A1", "A2"]) .alias("fields") ).unnest("fields") -<<<<<<< HEAD - -======= if "SNPID" in self.chunk_pl.columns: self.chunk_pl = self.chunk_pl.drop("SNPID") @@ -146,7 +143,6 @@ def harmonize(self, #Check for removing double headers self.chunk_pl = self.chunk_pl.filter(pl.col('CHR')=='CHR') ->>>>>>> eca170d (Adding trait extraction) if self.type_trait == "quant": if not "N" in self.chunk_pl.columns: if n is not None: @@ -155,20 +151,15 @@ def harmonize(self, ) else: raise HarmonizationError("N column is missing and N parameter is not provided") -<<<<<<< HEAD if self.mac is not None: self.chunk_pl = self.chunk_pl.with_columns( (2 * pl.col("N") * pl.min_horizontal("EAF", (1 - pl.col("EAF")))) .alias("MAC") ).filter(pl.col("MAC") > self.mac) -======= self.chunk_pl = self.chunk_pl.with_columns( pl.lit(pheno_var).alias("PHENO_VAR") ) - if mac is not None: - self.chunk_pl.map_rows() ->>>>>>> eca170d (Adding trait extraction) elif self.type_trait == "binary": if not all(sample_size in self.chunk_pl.columns for sample_size in ["N_CASES", "N_CONTROLS"]): if not None in [n_cases, n_controls]: @@ -187,13 +178,10 @@ def harmonize(self, else: raise HarmonizationError("Type of trait must be either binary or quant") -<<<<<<< HEAD if "SNPID" in self.chunk_pl.columns: self.chunk_pl = self.chunk_pl.drop("SNPID") -======= ->>>>>>> eca170d (Adding trait extraction) #Here we always assumbe that the SNPs are in REF=A1 and ALT=A2 @@ -417,12 +405,8 @@ def create_metadata(self, file_path: str): lambda s: pl.Series([acat_optimized(s)]), return_dtype=pl.Float64 ).alias("ACAT_LIST"), -<<<<<<< HEAD - pl.col("N").drop_nulls().first().alias("N") -======= pl.col("N").first().alias("N"), pl.col("PHENO_VAR").first().alias("PHENO_VAR") ->>>>>>> eca170d (Adding trait extraction) ]) chr_gene_agg = chr_gene_agg.with_columns( pl.col("ACAT_LIST").list.first().alias("ACAT") From 02817c1b4be363346c6317abd4be83af942c1a0c Mon Sep 17 00:00:00 2001 From: bruno-ariano Date: Mon, 1 Dec 2025 19:28:27 +0100 Subject: [PATCH 60/61] Fix some test of config --- conf/base.config | 3 ++- conf/test.config | 11 ++++++----- example_data/locusbreaker_test_table_sc.csv | 2 +- example_data/region_list_sc.csv | 3 +++ example_data/snp_list_sc.csv | 2 +- modules/create_tiledb/main.nf | 2 +- modules/ingestion/main.nf | 1 + nextflow.config | 2 ++ table_export_lb.csv | 4 ---- tdbsumstat/cli/ingestion.py | 1 - tdbsumstat/utils/harmonize_ingest.py | 4 ++-- 11 files changed, 19 insertions(+), 16 deletions(-) create mode 100644 example_data/region_list_sc.csv delete mode 100644 table_export_lb.csv diff --git a/conf/base.config b/conf/base.config index e4cc35c..5faa794 100644 --- a/conf/base.config +++ b/conf/base.config @@ -1,5 +1,6 @@ process { - conda = "/software/cardinal_analysis/ht/conda_envs/tdbsumstat" + conda = "/home/bruno.ariano/conda_envs/tdbsumstat" + //conda = "/software/cardinal_analysis/ht/conda_envs/tdbsumstat" // conda = "${projectDir}/pipeline_environment.yml" // memory errors which should be retried. otherwise error out diff --git a/conf/test.config b/conf/test.config index 7b643bc..6d2fbfd 100644 --- a/conf/test.config +++ b/conf/test.config @@ -18,17 +18,18 @@ profiles { test_export_lb { params { export = true - uri_path = "/lustre/scratch124/humgen/projects_v2/cardinal_analysis/analysis/core_dataset/freeze3/tiledbs/Tensor/TileDB_metanalyses_gh_celltype2_freeze3" + //uri_path = "/lustre/scratch124/humgen/projects_v2/cardinal_analysis/analysis/core_dataset/freeze3/tiledbs/Tensor/TileDB_metanalyses_gh_celltype2_freeze3" + uri_path = "${projectDir}/example_data/TileDB_test" locusbreaker = true - out = "out_sushie" + out = "out_test" type_sumstat = "qtl" hole_lb = 250000 - tiledb_batch_size = 4 + tiledb_batch_size = 1 maf_lb = 0.001 locus_max_size_lb = 3000000 cis_trans_lb = "cis" - table_lb = "/lustre/scratch124/humgen/projects_v2/cardinal_analysis/analysis/ba13/sushie/UKB_data/trait_sushie_ghspec_251120_lb_test.csv" - batch_name = null + table_lb = "${projectDir}/example_data/locusbreaker_test_table_sc.csv" + batch_name = 1 outdir = "./results" // Add this missing parameter publish_dir_mode = 'copy' // Add this missing parameter } diff --git a/example_data/locusbreaker_test_table_sc.csv b/example_data/locusbreaker_test_table_sc.csv index 70b2d2b..09df555 100644 --- a/example_data/locusbreaker_test_table_sc.csv +++ b/example_data/locusbreaker_test_table_sc.csv @@ -1,2 +1,2 @@ CHR,TRAIT,SIG,LIM -6,Tgd:ENSG00000001036,5e-2,5e-1 +20,Tgd:ENSG0000010001,5e-8,5e-5 diff --git a/example_data/region_list_sc.csv b/example_data/region_list_sc.csv new file mode 100644 index 0000000..7003d38 --- /dev/null +++ b/example_data/region_list_sc.csv @@ -0,0 +1,3 @@ +CHR,START,END,TRAIT +20,7121,9121,Tgd:ENSG0000010000 +20,2813,5813,Tgd:ENSG0000010000 diff --git a/example_data/snp_list_sc.csv b/example_data/snp_list_sc.csv index d79a13d..3bf977b 100644 --- a/example_data/snp_list_sc.csv +++ b/example_data/snp_list_sc.csv @@ -1,4 +1,4 @@ -CHR,POS,TRAITID +CHR,POS,TRAIT 20,7121,Tgd:ENSG0000010000 20,2813,Tgd:ENSG0000010000 20,1696,Tgd:ENSG0000010000 diff --git a/modules/create_tiledb/main.nf b/modules/create_tiledb/main.nf index a084b0c..f4953dd 100644 --- a/modules/create_tiledb/main.nf +++ b/modules/create_tiledb/main.nf @@ -15,7 +15,7 @@ process CREATE_TILEDB { // Define the shell script to execute script: """ - tdbsumstat ingest --uri-path TileDB_${params.uri_path} \ + tdbsumstat ingest --uri-path TileDB_${params.tiledb_name} \ --create-tiledb \ --mapping-file ${mapping_file} \ --type-sumstat ${params.type_sumstat} diff --git a/modules/ingestion/main.nf b/modules/ingestion/main.nf index 9fc784a..957c8a1 100644 --- a/modules/ingestion/main.nf +++ b/modules/ingestion/main.nf @@ -27,6 +27,7 @@ process INGEST_DATA { --file-path ${list_files} \ --mapping-file ${mapping_file} \ --type-sumstat ${params.type_sumstat} \ + --mac ${params.mac} ${qc} # Rename the metadata parts directory to include the list_files name for uniqueness if [ -d "TileDB_${params.tiledb_name}_metadata_parts" ]; then diff --git a/nextflow.config b/nextflow.config index 9ba662c..534e1d2 100644 --- a/nextflow.config +++ b/nextflow.config @@ -7,6 +7,7 @@ params { file_path_ingestion = null mapping_file = null ingestion = null + mac = 0 qc = null ingestion_chunk_files = null outdir = "./results" @@ -135,6 +136,7 @@ profiles { test_export_lb { includeConfig 'conf/test.config' } test_export_snp { includeConfig 'conf/test.config' } test_export_traits { includeConfig 'conf/test.config' } + test_export_regions { includeConfig 'conf/test.config' } } // Execution reporting diff --git a/table_export_lb.csv b/table_export_lb.csv deleted file mode 100644 index 4561d7b..0000000 --- a/table_export_lb.csv +++ /dev/null @@ -1,4 +0,0 @@ -CHR,TRAIT,SIG,LIM -1,NK_CD56bright:ENSG00000143322,1e-2,1e-2 -1,NK_CD56bright:ENSG00000117697,1e-2,1e-2 -4,NK_CD56bright:ENSG00000109762,1e-2,1e-2 diff --git a/tdbsumstat/cli/ingestion.py b/tdbsumstat/cli/ingestion.py index f99f949..7c195f1 100755 --- a/tdbsumstat/cli/ingestion.py +++ b/tdbsumstat/cli/ingestion.py @@ -21,7 +21,6 @@ "Optional parameters", cloup.option("--pvar-file", default = None, type=str, help = "pvar file used to verify the alleles order"), cloup.option("--sep", default = "\t", type=str, help = "pvar file used to verify the alleles order"), - cloup.option("--mac", default = None, type=int, help = "Allele count filter"), cloup.option("--qc", is_flag=True, type=bool, default = False, help = "Harmonize and QC the summary statistics using gwaslab"), cloup.option("--mac", default=None, type=int, help = "Minor allele count filter during ingestion"), cloup.option("--only-meta", is_flag=True, type=bool, default = False, help = "Create and ingest metadata") diff --git a/tdbsumstat/utils/harmonize_ingest.py b/tdbsumstat/utils/harmonize_ingest.py index 3d4a195..4c30b30 100755 --- a/tdbsumstat/utils/harmonize_ingest.py +++ b/tdbsumstat/utils/harmonize_ingest.py @@ -141,17 +141,17 @@ def harmonize(self, if "DIST" not in self.chunk_pl.columns: self.chunk_pl = self.chunk_pl.with_columns(pl.lit(1).alias("DIST")) #Check for removing double headers - self.chunk_pl = self.chunk_pl.filter(pl.col('CHR')=='CHR') if self.type_trait == "quant": if not "N" in self.chunk_pl.columns: if n is not None: self.chunk_pl = self.chunk_pl.with_columns( - pl.lit(n).alias("N") + pl.lit(int(n)).alias("N") ) else: raise HarmonizationError("N column is missing and N parameter is not provided") if self.mac is not None: + print(self.chunk_pl.select('EAF','N')) self.chunk_pl = self.chunk_pl.with_columns( (2 * pl.col("N") * pl.min_horizontal("EAF", (1 - pl.col("EAF")))) .alias("MAC") From e421bbd84a535c68e0eaa4d2565871e3aef125b6 Mon Sep 17 00:00:00 2001 From: bruno-ariano Date: Wed, 3 Dec 2025 19:42:42 +0100 Subject: [PATCH 61/61] Add option for recomputing ACAT --- conf/test.config | 31 ++++++++++++++- data_table_saige.csv | 2 - example_data/trait_list_r.csv | 2 + main.nf | 14 ++++++- modules/recompute_meta/main.nf | 26 +++++++++++++ nextflow.config | 2 + tdbsumstat/cli/export.py | 56 +++++++++++++++++++++++++++- tdbsumstat/utils/harmonize_ingest.py | 1 - 8 files changed, 127 insertions(+), 7 deletions(-) delete mode 100644 data_table_saige.csv create mode 100644 example_data/trait_list_r.csv create mode 100644 modules/recompute_meta/main.nf diff --git a/conf/test.config b/conf/test.config index 6d2fbfd..272edb2 100644 --- a/conf/test.config +++ b/conf/test.config @@ -61,8 +61,9 @@ profiles { test_export_traits { params { export = true - uri_path = "/home/bruno.ariano/TileDB-sumstat/example_data/TileDB_test" - export_traits = "/home/bruno.ariano/TileDB-sumstat/example_data/trait_list.csv" + export_traits = true + uri_path = "${projectDir}/example_data/TileDB_test" + list_traits = "${projectDir}/example_data/trait_list.csv" out = "out" type_sumstat = "qtl" outdir = "./results" // Add this missing parameter @@ -70,4 +71,30 @@ profiles { tiledb_batch_size = 1 } } + test_export_meta { + params { + export = true + export_meta = true + uri_path = "${projectDir}/example_data/TileDB_test" + list_traits = "${projectDir}/example_data/trait_list.csv" + out = "out" + type_sumstat = "qtl" + outdir = "./results" // Add this missing parameter + publish_dir_mode = 'copy' // Add this missing parameter + tiledb_batch_size = 100 + } + } + test_recompute_meta { + params { + recompute_meta = true + uri_path = "/project/cardinal/QTLs/freeze3/TileDBs/gh_metanalyses/TileDB_metanalyses_gh_celltype2_freeze3" + list_traits = "${projectDir}/gh_meta.csv" + mac =10 + out = "out" + type_sumstat = "qtl" + outdir = "./results" // Add this missing parameter + publish_dir_mode = 'copy' // Add this missing parameter + tiledb_batch_size = 10 + } + } } diff --git a/data_table_saige.csv b/data_table_saige.csv deleted file mode 100644 index 2e7fac6..0000000 --- a/data_table_saige.csv +++ /dev/null @@ -1,2 +0,0 @@ -FILE,CELL -/lustre/scratch124/humgen/projects_v2/cardinal_analysis/analysed_datasets/eqtls/F3_QTLs_saige/UKBB/celltype_2/analysis_by_chr/NK_CD56bright/results_F3_cis/Saige_eQTLS/NK_CD56bright/nominal/1__NK_CD56bright__all_vars_genes.tsv.gz,NK_CD56bright diff --git a/example_data/trait_list_r.csv b/example_data/trait_list_r.csv new file mode 100644 index 0000000..d5f0e13 --- /dev/null +++ b/example_data/trait_list_r.csv @@ -0,0 +1,2 @@ +CHR,CELL +20,Tgd diff --git a/main.nf b/main.nf index a3c6ddf..e73f153 100644 --- a/main.nf +++ b/main.nf @@ -5,6 +5,7 @@ include { EXPORT_SNP } from "./modules/snp" include { EXPORT_REGIONS } from "./modules/regions" include { MERGE_METADATA } from "./modules/merge_metadata" include { TRAITS } from "./modules/traits" +include { RECOMPUTE_META } from "./modules/recompute_meta" workflow { if (params.ingestion){ @@ -49,7 +50,7 @@ workflow { EXPORT_LOCUSBREAKER(tiledb_metadata_batches) } if (params.export_traits){ - Channel.fromPath(params.export_traits, checkIfExists:true) + Channel.fromPath(params.list_traits, checkIfExists:true) .splitText(by: params.tiledb_batch_size, keepHeader: true, file: true) .map { batch_file -> def batch_index = (batch_file.name =~ /\.(\d+)\.csv$/)[0][1] @@ -58,5 +59,16 @@ workflow { TRAITS(tiledb_metadata_batches) + } + if (params.recompute_meta){ + Channel.fromPath(params.list_traits, checkIfExists:true) + .splitText(by: params.tiledb_batch_size, keepHeader: true, file: true) + .map { batch_file -> + def batch_index = (batch_file.name =~ /\.(\d+)\.csv$/)[0][1] + tuple(batch_index, batch_file) + }.set { tiledb_metadata_batches } + + RECOMPUTE_META(tiledb_metadata_batches) + } } \ No newline at end of file diff --git a/modules/recompute_meta/main.nf b/modules/recompute_meta/main.nf new file mode 100644 index 0000000..a600bde --- /dev/null +++ b/modules/recompute_meta/main.nf @@ -0,0 +1,26 @@ +process RECOMPUTE_META{ + label 'process_high' + publishDir "${params.outdir}/gwas_and_loci_tables/", mode: params.publish_dir_mode + + + // Define input + input: + tuple val(batch_index), path(traits_list_table) + + // Define output + output: + path("*.csv"), emit:ltbd_traits, optional: true + + // Define the shell script to execute + script: + """ + tdbsumstat \ + export \ + --recompute-meta \ + --mac ${params.mac} \ + --trait-list ${traits_list_table} \ + --uri-path ${params.uri_path} \ + --batch-name ${batch_index} \ + --type-sumstat ${params.type_sumstat} + """ +} diff --git a/nextflow.config b/nextflow.config index 534e1d2..295cc42 100644 --- a/nextflow.config +++ b/nextflow.config @@ -19,6 +19,7 @@ params { uri_path = null snp = null export_traits = null + list_traits = null regions = null sumstat = null @@ -137,6 +138,7 @@ profiles { test_export_snp { includeConfig 'conf/test.config' } test_export_traits { includeConfig 'conf/test.config' } test_export_regions { includeConfig 'conf/test.config' } + test_recompute_meta { includeConfig 'conf/test.config' } } // Execution reporting diff --git a/tdbsumstat/cli/export.py b/tdbsumstat/cli/export.py index 32a4d89..3b5a1ae 100755 --- a/tdbsumstat/cli/export.py +++ b/tdbsumstat/cli/export.py @@ -3,6 +3,7 @@ import cloup import pandas as pd from tdbsumstat.utils.locusbreaker_plpl import locusbreaker_plpl +from tdbsumstat.utils import acat_optimized import os import json import polars as pl @@ -21,6 +22,8 @@ cloup.option("--trait-list", default = None, type=str, help = "List of entire traits to filter"), cloup.option("--attr", default = "P,SNPID,EAF,BETA,SE", type=str, help = "Attributes to output"), cloup.option("--export-meta", is_flag = True, default = False, type=str, help = "Get metadata from TileDB"), + cloup.option("--mac", default = 0, type=int, help = "Filter for MAC when recomputing metadata"), + cloup.option("--recompute-meta", is_flag = True, default = False, type=str, help = "Recompute metadata after applying filters (Does not modify data within the TileDB)"), cloup.option("--snp", default = None, type=str, help = "List of SNPs to interrogate taken from a txt file. Please check README for details on the format of this file"), cloup.option("--batch-name", default = None, type=str, help = "Name of the batch") ) @@ -46,9 +49,11 @@ def export( type_sumstat: str, table_regions: str, trait_list:str, + mac:int, attr: str, snp: str, export_meta:bool, + recompute_meta:bool, locusbreaker: bool, maf_lb: float, cis_trans_lb: str, @@ -201,6 +206,55 @@ def query_spec(uri_path, chrom:int, trait: str = None, cell: str = None, gene: s df = pd.DataFrame(rows) df.to_csv(f"{out}_meta.csv", index = False) + elif recompute_meta: + trait_list_pd = pd.read_csv(trait_list) + for record, trait in trait_list_pd.iterrows(): + if type_sumstat == "gwas": + tiledb_query = tiledb_export.query().df[int(trait['CHR']), trait['TRAIT'].to_string() , :] + n = df_meta.filter(pl.col('TRAIT')==trait['TRAIT']).select('N')["N"][0] + else: + #cell,gene = trait['TRAIT'].split(':') + print(trait['CELL']) + tiledb_query = tiledb_export.query().df[int(trait['CHR']), trait['CELL'], : , :] + + n = df_meta.filter(pl.col('CELL')==trait['CELL']).select('N')["N"][0] + print(n) + if "N" not in tiledb_query.columns: + tiledb_query["N"] = n + print(tiledb_query) + tiledb_query_pl = pl.from_pandas(tiledb_query) + + tiledb_query_pl= tiledb_query_pl.with_columns( + (2 * pl.col("N") * pl.min_horizontal("EAF", (1 - pl.col("EAF")))) + .alias("MAC") + ).filter(pl.col("MAC") > mac) + if type_sumstat == "gwas": + chr_gene_agg = tiledb_query_pl.group_by(["CHR","TRAIT"]).agg([ + pl.col("P").map_batches( + lambda s: pl.Series([acat_optimized(s)]), + return_dtype=pl.Float64 + ).alias("ACAT_LIST"), + pl.col("N").first().alias("N"), + pl.min("P").alias("MIN_P") + ]) + chr_gene_agg = chr_gene_agg.with_columns( + pl.col("ACAT_LIST").list.first().alias("ACAT") + ) + else: + chr_gene_agg = tiledb_query_pl.group_by(["CHR","CELL","GENE"]).agg([ + pl.col("P").map_batches( + lambda s: pl.Series([acat_optimized(s)]), + return_dtype=pl.Float64 + ).alias("ACAT_LIST"), + pl.col("N").first().alias("N"), + pl.min("P").alias("MIN_P") + ]) + chr_gene_agg = chr_gene_agg.with_columns( + pl.col("ACAT_LIST").list.first().alias("ACAT"), + ).drop("ACAT_LIST") + + chr_gene_agg_pd = chr_gene_agg.to_pandas() + chr_gene_agg_pd.to_csv(f"{out}_batch_{batch_name}_metadata.csv", mode="a", index=False) else: trait_list_pd = pd.read_csv(trait_list) with tiledb.open(uri_path, mode="r") as A: @@ -220,5 +274,5 @@ def query_spec(uri_path, chrom:int, trait: str = None, cell: str = None, gene: s ).df[:, cells, gene , :] for chunk in tiledb_iterator: - chunk.to_csv(f"{out}_{batch_name}.csv", mode="a", index=False, header = True) + chunk.to_csv(f"{out}_{batch_name}.csv", mode="a", index=False, header = False) print(f"Saved filtered summary statistics in {out}") diff --git a/tdbsumstat/utils/harmonize_ingest.py b/tdbsumstat/utils/harmonize_ingest.py index 4c30b30..d575dc1 100755 --- a/tdbsumstat/utils/harmonize_ingest.py +++ b/tdbsumstat/utils/harmonize_ingest.py @@ -151,7 +151,6 @@ def harmonize(self, else: raise HarmonizationError("N column is missing and N parameter is not provided") if self.mac is not None: - print(self.chunk_pl.select('EAF','N')) self.chunk_pl = self.chunk_pl.with_columns( (2 * pl.col("N") * pl.min_horizontal("EAF", (1 - pl.col("EAF")))) .alias("MAC")

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