gatk_variant_combine

gatk_variant_combine integrates Variant Call Format (VCF) records from multiple sources within the Genome Analysis Toolkit (GATK) using merge and union operations to produce consolidated variant representations for downstream variant analysis, with optional priority lists to resolve overlapping records and uniquify sample names.


Key Features:

  • VCF integration: Combines Variant Call Format (VCF) records from multiple input files.
  • Merge operation: Consolidates overlapping variant records into a single entry and uniquifies sample names when overlaps occur.
  • Union operation: Emits a single record at each genomic position represented when input VCFs share a consistent set of samples.
  • Priority-based selection: Accepts a priority list to guide selection of records when conflicts arise.
  • GATK component: Operates within the Genome Analysis Toolkit (GATK) analytic framework for large-scale sequencing data.
  • Sequencing dataset support: Applicable to whole-genome sequencing, whole-exome capture, and low-pass 1000 Genomes Project datasets.
  • Variant cataloging: Supports comprehensive cataloging of genetic variation for downstream variant calling and analysis.

Scientific Applications:

  • Large-scale data integration: Integration of variant records from diverse experimental designs and sequencing technologies.
  • Disease and population studies: Supports analyses relevant to human disease, ancestry, and evolution.
  • Variant calling workflows: Facilitates high-quality variant calling and genotyping analyses across combined datasets.

Methodology:

Initial read mapping, local realignment around insertions and deletions (indels), base quality score recalibration, SNP discovery and genotyping, and application of machine learning techniques to distinguish true genetic variation from sequencing artifacts.

Topics

Collections

Details

Maturity:
Mature
Tool Type:
web application
Operating Systems:
Linux, Windows, Mac
Programming Languages:
Java
Added:
12/19/2016
Last Updated:
11/24/2024

Operations

Data Inputs & Outputs

Publications

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.

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.

Documentation

Links

Related Tools

gatk
Relation: includedIn