annovar_annotate_variation
annovar_annotate_variation annotates genetic variants to assign gene-level, regulatory, functional, and clinical annotations from multiple databases for interpretation of NGS-derived variation.
Key Features:
- Comprehensive Annotation: Provides detailed annotations of variants across genes, regulatory regions, predicted functional impacts, and clinical databases such as dbSNP and ClinVar.
- Scalability: Capable of processing thousands of genomes simultaneously to support high-throughput studies.
- Integration with Galaxy Project: Integrates with the Galaxy platform to execute annotation tasks and record analysis workflows.
- Reproducibility and Transparency: Records and tracks analysis details automatically to support reproducible research and result inspection.
Scientific Applications:
- Genetic Disease Research: Annotating variants associated with hereditary diseases to assess functional impact and potential pathogenicity.
- Cancer Genomics: Identifying somatic mutations in cancer genomes that may influence oncogenesis or treatment response.
- Population Genetics: Annotating variants across populations to study genetic diversity and evolutionary patterns.
- Personalized Medicine: Interpreting individual genomic variants to inform patient-specific medical decisions.
Methodology:
Employs systematic variant annotation by matching variants to genes, regulatory regions, predicted functional impacts, and clinical entries using multiple databases (e.g., dbSNP, ClinVar); accepts VCF (Variant Call Format) and other input formats from NGS platforms and automates annotation and workflow tracking within the Galaxy environment.
Topics
Collections
Details
- Maturity:
- Mature
- Tool Type:
- web application
- Operating Systems:
- Linux, Windows, Mac
- Programming Languages:
- Perl
- Added:
- 12/19/2016
- Last Updated:
- 11/25/2024
Operations
Data Inputs & Outputs
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.