gatk_variant_filtration
gatk_variant_filtration filters variant calls within the Genome Analysis Toolkit (GATK) framework using customizable, parameterized criteria to remove low-quality or artifactual variants and improve downstream genomic analyses.
Key Features:
- GATK integration: Operates as a component of the Genome Analysis Toolkit (GATK).
- User-selectable criteria: Provides selectable filtering options enabling specification of which variants to retain or exclude.
- Parameterizable filters: Allows adjustment of filter parameters to fine-tune filtration thresholds.
- Quality-metric-based filtering: Applies filters based on quality metrics including depth of coverage, genotype quality, and allele frequency.
Scientific Applications:
- Genomic Research: Filters low-confidence variants to produce higher-quality variant sets for association studies and functional genomics.
- Clinical Genomics: Supports identification and prioritization of pathogenic mutations and assessment of genetic predisposition in clinical variant interpretation.
Methodology:
Operates within the GATK framework and applies customizable, parameterized filters based on quality metrics such as depth of coverage, genotype quality, and allele frequency.
Topics
Collections
Details
- Maturity:
- Mature
- Tool Type:
- web application
- Operating Systems:
- Linux, Windows, Mac
- Programming Languages:
- Java
- Added:
- 12/19/2016
- Last Updated:
- 4/20/2021
Operations
Publications
Afgan E, Baker D, van den Beek M, Blankenberg D, Bouvier D, Čech M, Chilton J, Clements D, Coraor N, Eberhard C, Grüning B, Guerler A, Hillman-Jackson J, Von Kuster G, Rasche E, Soranzo N, Turaga N, Taylor J, Nekrutenko A, Goecks J. The Galaxy platform for accessible, reproducible and collaborative biomedical analyses: 2016 update. Nucleic Acids Research. 2016;44(W1):W3-W10. doi:10.1093/nar/gkw343. PMID:27137889. PMCID:PMC4987906.
Mareuil F, Doppelt-Azeroual O, Ménager H. A public Galaxy platform at Pasteur used as an execution engine for web services. Unknown Journal. 2017. doi:10.7490/f1000research.1114334.1.
DePristo MA, Banks E, Poplin R, Garimella KV, Maguire JR, Hartl C, Philippakis AA, del Angel G, Rivas MA, Hanna M, McKenna A, Fennell TJ, Kernytsky AM, Sivachenko AY, Cibulskis K, Gabriel SB, Altshuler D, Daly MJ. A framework for variation discovery and genotyping using next-generation DNA sequencing data. Nature Genetics. 2011;43(5):491-498. doi:10.1038/ng.806. PMID:21478889. PMCID:PMC3083463.