gatk_unified_genotyper

gatk_unified_genotyper calls and genotypes single nucleotide polymorphisms (SNPs) and insertions/deletions (indels) across multiple samples from next-generation sequencing data for variant discovery and genotyping.


Key Features:

  • Comprehensive Variant Discovery: Discovers and jointly genotypes SNPs and indels across multiple samples with sensitivity and specificity across diverse sequencing platforms.
  • Robust Analytical Pipeline: Incorporates read mapping, local realignment around indels, base quality score recalibration, SNP discovery and genotyping, and machine learning-based artifact filtering.
  • Multi-Technology Compatibility: Achieves consistent performance across five sequencing technologies and three canonical experimental designs.
  • Application in Large-Scale Projects: Applied to deep whole-genome sequencing, whole-exome capture, and multi-sample low-pass (~4×) sequencing in projects such as the 1000 Genomes Project.

Scientific Applications:

  • Human disease genetics: Enables generation of variant calls for studies of genetic contributions to human disease.
  • Population genomics and ancestry: Supports analyses of ancestry and evolution by providing comprehensive variant catalogs.
  • High-throughput biomedical analyses: Facilitates interpretation of large-scale sequencing datasets for biomedical research.

Methodology:

Mapping reads to a reference genome, local realignment around indels, base quality score recalibration, SNP discovery and genotyping, and application of machine learning algorithms to filter 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

Indel detection

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.

Documentation

Links