vtools
vtools provides storage, annotation, and analysis of genetic variants derived from next-generation sequencing (NGS) projects to support variant tracking and reanalysis.
Key Features:
- Integration with existing tools: Integrates with established bioinformatics software such as GATK, ANNOVAR, and BEDTools for cohesive annotation and analysis workflows.
- Variant storage: Stores genetic variant records and associates them with their originating samples.
- Variant annotation: Annotates variants using multiple annotation sources.
- Variant filtering: Supports filtering of variants for downstream analyses.
- Sample-variant tracking and reanalysis: Tracks variants in conjunction with their respective samples and supports dynamic updates and reanalysis.
- Multi-format and scalable data handling: Handles diverse data formats and large volumes typical of NGS projects.
- Sample-level analysis: Performs comprehensive analyses on underlying sample data.
Scientific Applications:
- Large-scale exome sequencing: Manages and annotates variants from large-scale exome sequencing projects.
- Variant management from alignments: Manages genetic variant data obtained from sequence alignments.
- Sample-level discovery: Enables comprehensive sample-level analyses to investigate genetic variation and its biological implications.
- Method development: Provides a foundation for developing more sophisticated analytical methods built on variant and sample data.
Methodology:
Performs variant storage, annotation, filtering, and sample-variant tracking; supports dynamic updates and reanalysis; and integrates with GATK, ANNOVAR, and BEDTools.
Topics
Details
- Maturity:
- Mature
- Cost:
- Free of charge
- Tool Type:
- command-line tool
- Operating Systems:
- Linux, Mac
- Programming Languages:
- Python
- Added:
- 5/28/2019
- Last Updated:
- 11/25/2024
Operations
Data Inputs & Outputs
Genotyping
Publications
San Lucas FA, Wang G, Scheet P, Peng B. Integrated annotation and analysis of genetic variants from next-generation sequencing studies with <i>variant tools</i>. Bioinformatics. 2011;28(3):421-422. doi:10.1093/bioinformatics/btr667. PMID:22138362. PMCID:PMC3268240.
Documentation
Downloads
- Source codehttps://github.com/vatlab/VariantTools