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Identifies damaged genes and their disease-causing variants in personal genome sequences. VAAST combines elements of amino acid substitution (AAS) and aggregative approaches. The software can assay the impact of rare variants to identify rare diseases, and can use both common and rare variants to identify genes involved in common diseases. It includes Pedigree-VAAST (pVAAST), designed for high-throughput sequence data in pedigrees, which allows disease-gene identification.

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VAAST forum

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VAAST classification

  • Animals
    • Homo sapiens

VAAST specifications

Unique identifier:
OMICS_02134
Software type:
Package/Module
Restrictions to use:
Academic or non-commercial use
Computer skills:
Advanced
Stability:
Stable
Name:
Variant Annotation, Analysis and Search Tool
Interface:
Command line interface
Operating system:
Unix/Linux
Version:
2.0
Maintained:
Yes

Subtools

  • pVAAST

VAAST distribution

versioning

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No versioning.

VAAST support

Documentation

Maintainer

  • Mark Yandell <>

Additional information

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Credits

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Publications

Institution(s)

Department of Epidemiology, The University of Texas M.D. Anderson Cancer Center, Houston, TX, USA; Institute for Systems Biology, Seattle, WA, USA; Department of Psychiatry, University of Utah, Salt Lake City, UT, USA; Department of Pediatrics, University of Utah, Salt Lake City, UT, USA; Department of Pathology, University of Utah School of Medicine, Salt Lake City, UT, USA; ARUP Institute for Clinical and Experimental Pathology, ARUP Laboratories, Salt Lake City, UT, USA; Department of Oncological Sciences, Huntsman Cancer Institute, University of Utah, Salt Lake City, UT, USA; Department of Human Genetics and USTAR Center for Genetic Discovery, University of Utah, Salt Lake City, UT, USA; Department of Genetics, Rutgers, the State University of New Jersey, Piscataway, NJ, USA; Department of Pediatrics, The Ohio State University, Columbus, OH, USA; Center for Cardiovascular and Pulmonary Research, Research Institute at Nationwide Children’s Hospital, Columbus, OH, USA; Luxembourg Centre for Systems Biomedicine, University of Luxembourg, Esch-sur-Alzette, Luxembourg; Pacific Northwest Diabetes Research Institute, Seattle, WA, USA; Gladstone Institute of Cardiovascular Disease and University of California, San Francisco, San Francisco, CA, USA; Omicia, Inc., Oakland, CA, USA

Funding source(s)

Supported by US National Institutes of Health grants R01 GM104390, R01 DK091374, R01 CA164138, R44HG006579 and R01 GM59290, the University of Luxembourg—Institute for Systems Biology Program, grants from the NHLBI (UO1 HL100406 and U01 HL098179), NIH grants R01 MH094400 and R01 MH099134, the MD Anderson Cancer Center Odyssey Program and NIH grant R00HG005846.

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