VAT specifications
Information
| Unique identifier | OMICS_04075 |
|---|---|
| Name | VAT |
| Alternative name | Variant Annotation Tool |
| Software type | Framework/Library |
| Interface | Command line interface |
| Restrictions to use | None |
| Output format | VCF |
| Operating system | Unix/Linux |
| Programming languages | C, PHP |
| Parallelization | MapReduce |
| Computer skills | Advanced |
| Version | 2.0.1 |
| Stability | Stable |
| Requirements | GNU Scientific Library, GD library, Tabix, BlatSuite, BIOS library |
| Source code URL | https://s3.amazonaws.com/vat-releases/vat-2.0.1.tar.gz |
| High performance computing | Yes |
| Maintained | Yes |
Taxon
-
Animals
- Homo sapiens
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Versioning
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Maintainers
- person_outline Mark Gerstein <>
- person_outline Lukas Habegger <>
Publication for Variant Annotation Tool
library_books
VAT: a computational framework to functionally annotate variants in personal genomes within a cloud-computing environment.
2012 Bioinformatics
PMID: 22743228
DOI: 10.1093/bioinformatics/bts368
VAT institution(s)
Program in Computational Biology and Bioinformatics, Yale University, New Haven, CT, USA; Department of Molecular Biophysics and Biochemistry, Yale University, New Haven, CT, USA; Department of Computer Science, Yale University, New Haven, CT, USA; Department of Pathology and Laboratory Medicine, Weill Cornell Medical College, New York, NY, USA; Institute for Computational Biomedicine, Weill Cornell Medical College, New York, NY, USA; Department of Chemistry, Yale University, New Haven, CT, USA; Department of Genetics, Stanford University School of Medicine, Stanford, CA, USA
VAT funding source(s)
Supported by the National Institutes of Health.
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