Genotype and SNP calling from next-generation sequencing data View Full Text


Ontology type: schema:ScholarlyArticle      Open Access: True


Article Info

DATE

2011-06

AUTHORS

Rasmus Nielsen, 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. More... »

PAGES

443

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  • Identifiers

    URI

    http://scigraph.springernature.com/pub.10.1038/nrg2986

    DOI

    http://dx.doi.org/10.1038/nrg2986

    DIMENSIONS

    https://app.dimensions.ai/details/publication/pub.1016983398

    PUBMED

    https://www.ncbi.nlm.nih.gov/pubmed/21587300


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