| Literature DB >> 25553206 |
Daniel C Koboldt1, David E Larson2, Richard K Wilson2.
Abstract
The identification of small sequence variants remains a challenging but critical step in the analysis of next-generation sequencing data. Our variant calling tool, VarScan 2, employs heuristic and statistic thresholds based on user-defined criteria to call variants using SAMtools mpileup data as input. Here, we provide guidelines for generating that input, and describe protocols for using VarScan 2 to (1) identify germline variants in individual samples; (2) call somatic mutations, copy number alterations, and LOH events in tumor-normal pairs; and (3) identify germline variants, de novo mutations, and Mendelian inheritance errors in family trios. Further, we describe a strategy for variant filtering that removes likely false positives associated with common sequencing- and alignment-related artifacts.Entities:
Keywords: indels; mutation detection; next-generation sequencing; snvs; trio calling; variant calling; varscan 2
Mesh:
Year: 2013 PMID: 25553206 PMCID: PMC4278659 DOI: 10.1002/0471250953.bi1504s44
Source DB: PubMed Journal: Curr Protoc Bioinformatics ISSN: 1934-3396