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Genome Res. 2010 Mar;20(3):291-300. doi: 10.1101/gr.079509.108. Epub 2010 Jan 12.

Population genetic inference from genomic sequence variation.

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  • 1Department of Integrative Biology, University of California, Berkeley, Berkeley, California 94720, USA.

Abstract

Population genetics has evolved from a theory-driven field with little empirical data into a data-driven discipline in which genome-scale data sets test the limits of available models and computational analysis methods. In humans and a few model organisms, analyses of whole-genome sequence polymorphism data are currently under way. And in light of the falling costs of next-generation sequencing technologies, such studies will soon become common in many other organisms as well. Here, we assess the challenges to analyzing whole-genome sequence polymorphism data, and we discuss the potential of these data to yield new insights concerning population history and the genomic prevalence of natural selection.

PMID:
20067940
[PubMed - indexed for MEDLINE]
PMCID:
PMC2840988
Free PMC Article
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