| Literature DB >> 24763993 |
Brett Kennedy1, Zev Kronenberg, Hao Hu, Barry Moore, Steven Flygare, Martin G Reese, Lynn B Jorde, Mark Yandell, Chad Huff.
Abstract
The VAAST pipeline is specifically designed to identify disease-associated alleles in next-generation sequencing data. In the protocols presented in this paper, we outline the best practices for variant prioritization using VAAST. Examples and test data are provided for case-control, small pedigree, and large pedigree analyses. These protocols will teach users the fundamentals of VAAST, VAAST 2.0, and pVAAST analyses.Entities:
Keywords: VAAST; bioinformatics; computational genomics; disease-gene identification; genome-wide association studies; genomics; human disease; next-generation sequencing; rare-variant association test; variant classification
Mesh:
Year: 2014 PMID: 24763993 PMCID: PMC4137768 DOI: 10.1002/0471142905.hg0614s81
Source DB: PubMed Journal: Curr Protoc Hum Genet ISSN: 1934-8258