| Literature DB >> 21587300 |
Rasmus Nielsen1, Joshua S Paul, Anders Albrechtsen, Yun S Song.
Abstract
Meaningful analysis of next-generation sequencing (NGS) data, which are produced extensively by genetics and genomics studies, relies crucially on the accurate calling of SNPs and genotypes. Recently developed statistical methods both improve and quantify the considerable uncertainty associated with genotype calling, and will especially benefit the growing number of studies using low- to medium-coverage data. We review these methods and provide a guide for their use in NGS studies.Entities:
Mesh:
Year: 2011 PMID: 21587300 PMCID: PMC3593722 DOI: 10.1038/nrg2986
Source DB: PubMed Journal: Nat Rev Genet ISSN: 1471-0056 Impact factor: 53.242