We are a group of experimental and computational biologists at CCRI with the goal to tackle unresolved questions of neuroblastoma pathogenesis and develop new diagnostic and therapeutic approaches to facilitate precision medicine for children with malignant tumors. For more information visit our institutional homepage.
This organization hosts analysis and software repositories supporting our research.
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fetahu_et_al_2023: Single cell transcriptomics & epigenomics analysis for neuroblastoma samples
- Publication: Fetahu et al., 2023 (Nature Communications)
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NK-NB_study: Single cell transcriptomics & epigenomics analysis of bone marrow-derived NK cells in neuroblastoma metastasis samples
- Publication: Rados, Wernig-Zorc et al., 2026 (Cellular & Molecular Immunology)
- Contributors: Wernig-Zorc, Sara; Prakash, Celine
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YAP-TAZ_study: Single cell transcriptomics & proteomic analysis of neuroblastoma primary tumor samples
- Publication: Strohmenger et al., 2026 (Nature Communications)
- Contributors: Wernig-Zorc, Sara; Gutwein, Simon
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MapMetSC: Single-cell transcriptomics & proteomic analysis for data extracted from MapMetIP
- Publication: Lazic, Humhal-Zeller et al., 2026
- Contributors: Lazic, Daria; Wernig-Zorc, Sara; Söjtöry, Eszter; Gutwein, Simon; Dondi, Arthur
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SpatialIMC: Spatial interaction analysis in IMC images
- Publication: Lazic, Humhal-Zeller et al., 2026
- Contributors: Lazic, Daria; Wernig-Zorc, Sara; Söjtöry, Eszter; Gutwein, Simon; Dondi, Arthur
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MapMetIP: Image processing workflow for multi-modal (IF & IMC) high-plex images
- Publication: Lazic, Humhal-Zeller et al., 2026
- Contributors: Lazic, Daria; Wernig-Zorc, Sara; Söjtöry, Eszter; Gutwein, Simon; Dondi, Arthur
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DeepFLEX: Image processing and single-cell analysis pipeline for MELC images
- Publication: Lazic et al., 2022 (Cancers)
- Contributors: Lazic, Daria
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ALT-FISH: Classification of ALT-FISH spots
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AI4CAN: App for FISH image classification
Some repositories are currently in development and private, but will be published soon. Stay tuned.
