iWhale
iWhale detects and annotates somatic variants from cancer Whole Exome Sequencing (WES) data to support comprehensive variant characterization.
Key Features:
- Docker integration: Encapsulates the pipeline within a Docker container to provide a consistent computational environment.
- SCons workflow management: Uses SCons to manage workflow dependencies and enable automatic resumption from the last completed step after interruptions.
- Complementary variant callers: Employs MuTect2, Strelka2, and VarScan2 for somatic variant detection.
- Unified VCF output: Consolidates outputs from the variant callers into a single Variant Call Format (VCF) file per sample.
- Variant annotation: Annotates detected variants using information from multiple reference databases for detailed characterization.
Scientific Applications:
- Somatic variant discovery in cancer WES: Identification and characterization of somatic variants from Whole Exome Sequencing data.
- Study of cancer genetics: Support for investigations into the genetic underpinnings of cancer using integrated variant calls and annotations.
- Gene prioritization: Facilitation of variant prioritization for downstream research and analysis.
- Personalized medicine: Provision of annotated somatic variant data to inform individualized therapeutic considerations.
Methodology:
Uses Docker containerization and SCons for workflow management, runs MuTect2, Strelka2, and VarScan2, consolidates caller outputs into per-sample VCF files, and annotates variants using multiple reference databases.
Topics
Details
- Tool Type:
- command-line tool
- Programming Languages:
- Python
- Added:
- 1/18/2021
- Last Updated:
- 11/24/2024
Operations
Publications
Binatti A, Bresolin S, Bortoluzzi S, Coppe A. iWhale: a computational pipeline based on Docker and SCons for detection and annotation of somatic variants in cancer WES data. Briefings in Bioinformatics. 2020;22(3). doi:10.1093/bib/bbaa065. PMID:32436933. PMCID:PMC8557746.
DOI: 10.1093/bib/bbaa065
PMID: 32436933
PMCID: PMC8557746
Funding: - Italian Ministry of Education, Universities and Research: PRIN #2017PPS2X4_003
- Italian Association for Cancer Research: IG #20052, IG #20216, MFAG #15674
Downloads
- Container filehttps://hub.docker.com/r/alexcoppe/iwhale