Article
Ohana: detecting selection in multiple populations by modelling ancestral admixture components
2019-02-14
Abstract excerpt
One of the most powerful and commonly used methods for detecting local adaptation in the genome is the identification of extreme allele frequency differences between populations. In this paper, we present a new maximum likelihood method for finding regions under positive selection. The method is based on a Gaussian approximation to allele frequency changes and it incorporates admixture between populations. The met...
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Identifiers and source
- Literature Corpus work
- 82552ea6-6760-5892-986b-666b32f93c98
- DOI
- 10.1101/546408