RefgenDetector is a bioinformatics tool that infers the reference genome assembly used to create aligment files (BAM/CRAM/header) and VCFs.
It identifies major genome releases and derived assemblies across humans and multiple other species by analyzing contig names and lengths from the header. Benchmarking against 94 synthetic datasets achieved a 100% accuracy rate, while large-scale testing on 918,404 real-world files demonstrated 97.13% correctness, failing only when files’ headers are incomplete.
RefgenDetector is able to infer the following reference genomes:
Primates
👤 Homo sapiens
- hg16
- hg17
- hg18
- GRCh37
- GRCh38
- T2T
🐒 Pan troglodytes
- pantro3_0
- Pan_troglodytes-2.1
🐵 Macaca mulatta
- Mmul10
- rheMac8
- rheMac3
Rodents
🐭 Mus musculus
- mm7
- mm8
- mm9
- mm10
- mm39
🐀 Rattus norvegicus
- mRatBN7_2
- Rnor_6_0
Other Mammals
🐷 Sus scrofa
- Sscrofa10_2
- Sscrofa11_1
Vertebrates (Non-Mammalian)
🐟 Danio Rerio
- danRer10
- danRer11
Invertebrates
🪰 Drosophila Melanogaster
- dm5
- dm6
🐛 Caenorhabditis elegans
- WBcel215
- WBcel235
Microorganisms & Plants
🧫 Escherichia coli
- ASM886v2
- ASM584v2
🌱 Arabidopsis thaliana
- TAIR
🍺 Saccharomyces cerevisiae
- R64
ref_manager.py provides command-line management of reference genomes used by RefgenDetector. It allows users to add custom assemblies from FASTA index (.fai) files, list all available references, and remove previously added custom entries without modifying the source code.
python ref_manager.py <command> [options]python ref_manager.py add <genome.fai> <reference_name> <species> # script
refgenDetector-manager add <genome.fai> <reference_name> <species> # pip installationRegisters a new reference from a valid .fai file. If the contig structure matches an existing reference, the entry is not added.
python ref_manager.py list # scripts
refgenDetector-manager list # pip installationDisplays all available references, including both built-in and user-defined assemblies.
python ref_manager.py remove <reference_name> # scripts
refgenDetector-manager remove <reference_name> # pip installationRemoves a custom reference from the local database. Built-in references cannot be removed.
- Custom references are stored separately from the default reference database.
- Input files must be valid FASTA index files generated with
samtools faidx. - Duplicate assemblies are detected based on exact contig composition.
From VCF files only 4 human assemblies can be inferred:
- Hg18
- GRCh37
- GRCh38
- T2T
Two different sources of information are used to infer the reference genome from variant calling files
- Header
In the VCF specification it is recommended, but not mandatory that the VCF header includes tags describing the reference and contigs backing the data contained in the file. When present, the tool will analyze this information and output the reference genome version based on the contig lengths, following the same logic of the aligment files inference.
- Variants
To infer the reference genome from a VCF the tool will read the VCF file in chunks of 100.000 variants, avoiding to load the complete file in memory. The POS and REF columns will be extracted and compared to the msgpack files.
The msgpack files were created comparing the nucleotides in each position for hg18, GRCh37, GRCh38 and T2T. Each file contains a list of the positions where each reference had a different nucleotide (distinguishing positions).
By getting the number of matches between these distinguishing positions and the REF present in the VCF we infer the reference genome version used to call the variants.
- Python 3.10.6
Depending on how you want to install the package:
- pip
- Docker
-
Clone this repository
-
$ cd PATH_WHERE_YOU_CLONED_THE_REPOSITORY/src/refgenDetector -
$ python3 refgenDetector_main.py -h -
Download the
msgpackfiles for the inference with VCFs: Download the msgpack reference -
Move the
msgpackto the correct path:
mv msgpacks.zip /refgenDetector/src/refgenDetector/
unzip /refgenDetector/src/refgenDetector/msgpacks.zip
$ pip install refgenDetector
You can get the help menu by running:
$ refgenDetector -h
usage: INFERRING THE REFERENCE GENOME USED TO ALIGN BAM OR CRAM FILE [-h] -f FILE -t {BAM/CRAM,Header,VCF,BIM} [--md5] [-a] [-v MAX_N_VAR] [-m MATCHES] [-r]
optional arguments:
-h, --help show this help message and exit
-f FILE, --file FILE Input file path
-t {BAM/CRAM,Header,VCF,BIM}, --type {BAM/CRAM,Header,VCF,BIM}
Type of files to analyze.
--md5 Print md5 values if present in header.
-a, --assembly Print assembly if present in header.
-v MAX_N_VAR, --max_n_var MAX_N_VAR
Maximum number of variants to read before stopping inference. The file is processed in chunks of 100,000 variants, so this value must be a multiple of 100,000 (e.g. 100000,
200000, 300000, ...).
-m MATCHES, --matches MATCHES
Number of matches required before stopping. [DEFAULT:5000]
-r, --resources When set, print execution time, CPU, memory, and disk I/O usage
In the folder examples you can find headers, alignment and variant files to test the working of RefgenDetector.
RefgenDetector is released under GNU General Public License v3.0.
It was funded by ELIXIR, the research infrastructure for life-science data (ELIXIR Beacon Implementation Studies 2019-2021 and 2022-2023).