genotypeeval
genotypeeval evaluates the quality of genotype calls in gVCF and VCF files to provide metrics for assessing genotype call accuracy in genomic analyses.
Key Features:
- Input Compatibility: Accepts gVCF and VCF file formats as input for genotype quality assessment.
- Quality Metrics Reporting: Computes comprehensive metrics that quantify genotype call quality and support validation of variant calls.
- Integration with Bioconductor: Interfaces with the Bioconductor ecosystem, enabling use alongside R-based bioinformatics packages.
- Interoperability: Exchanges data and results with other Bioconductor packages to support downstream genomic analyses.
Scientific Applications:
- Variant Calling Validation: Evaluates precision and reliability of variant calls produced by different variant calling pipelines.
- Quality Control in Large-Scale Studies: Provides genotype quality metrics for quality control in GWAS and population genomics projects.
- Interdisciplinary Research: Supplies validated genotype-quality information for integration with other biological data types in multi-omics studies.
Methodology:
Processes gVCF and VCF files using R to compute genotype quality metrics derived from established quality assessment techniques.
Topics
Collections
Details
- Tool Type:
- command-line tool, library
- Operating Systems:
- Linux, Windows, Mac
- Programming Languages:
- R
- Added:
- 1/17/2017
- Last Updated:
- 11/25/2024
Operations
Data Inputs & Outputs
Sequencing quality control
Publications
Huber W, Carey VJ, Gentleman R, Anders S, Carlson M, Carvalho BS, Bravo HC, Davis S, Gatto L, Girke T, Gottardo R, Hahne F, Hansen KD, Irizarry RA, Lawrence M, Love MI, MacDonald J, Obenchain V, Oleś AK, Pagès H, Reyes A, Shannon P, Smyth GK, Tenenbaum D, Waldron L, Morgan M. Orchestrating high-throughput genomic analysis with Bioconductor. Nature Methods. 2015;12(2):115-121. doi:10.1038/nmeth.3252. PMID:25633503. PMCID:PMC4509590.