Article

Testing for ancient selection using cross-population allele frequency differentiation

2015-04-06

Abstract excerpt

1 A powerful way to detect selection in a population is by modeling local allele frequency changes in a particular region of the genome under scenarios of selection and neutrality, and finding which model is most compatible with the data. Chen et al. [2010] developed a composite likelihood method called XPCLR that uses an outgroup population to detect departures from neutrality which could be compatible with hard...

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Literature Corpus work: 48464d47-dd3b-52e6-971b-2225041a1ed0
DOI: 10.1101/017566

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