echtvar
echtvar encodes and compresses population variants and associated annotations to enable rapid annotation and filtering of SNPs and indels in large-scale germline and somatic genomic datasets.
Key Features:
- Compressed Variant Representation: Encodes most genetic variants (chromosome location, position, and alleles) into 32-bit representations, reducing size to roughly half of earlier encoding schemes and at least four times smaller than naive encodings.
- Annotation Compression: Stores annotations within the same compact archive and compresses them alongside variant data to conserve space and speed access.
- Rapid Annotation and Filtering: Leverages the compressed format to rapidly annotate and filter SNPs and indels, yielding faster processing times compared to existing tools.
- Reduction of Candidate Variants: Narrows the set of candidate variants through efficient encoding and filtering to streamline downstream analyses.
Scientific Applications:
- Germline variant analysis: Annotation and filtering of germline variants in individuals and cohorts.
- Somatic variant analysis: Annotation and filtering of somatic variants in individuals and cohorts.
- Large-scale cohort studies: Handling population-scale (terabyte-scale) variant datasets where computational efficiency is required for annotation and interpretation.
- Exploratory variant filtering: Facilitating exploratory data analysis by reducing candidate variant lists for downstream interpretation.
Methodology:
Variants (chromosome, position, alleles) are encoded into a 32-bit compressed representation and annotations are stored and compressed within the same compact archive for use in rapid annotation and filtering.
Topics
Details
- License:
- MIT
- Cost:
- Free of charge
- Tool Type:
- command-line tool
- Operating Systems:
- Mac, Linux, Windows
- Programming Languages:
- Python
- Added:
- 1/19/2023
- Last Updated:
- 11/24/2024
Operations
Publications
Pedersen BS, de Ridder J. Echtvar: compressed variant representation for rapid annotation and filtering of SNPs and indels. Nucleic Acids Research. 2022;51(1):e3-e3. doi:10.1093/nar/gkac931. PMID:36300617. PMCID:PMC9841399.
DOI: 10.1093/nar/gkac931
PMID: 36300617
PMCID: PMC9841399
Funding: - Vidi Fellowship: 639.072.715
- TTW Perspectief program LettuceKnow: P17-19