Detecting signatures of selection from DNA sequences using datamonkey

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Abstract

Natural selection is a fundamental process affecting all evolving populations. In the simplest case, positive selection increases the frequency of alleles that confer a fitness advantage relative to the rest of the population, or increases its genetic diversity, and negative selection removes those alleles that are deleterious. Codon-based models of molecular evolution are able to infer signatures of selection from alignments of homologous sequences by estimating the relative rates of synonymous (dS) and non-synonymous substitutions (dN). Datamonkey (http://www.datamonkey.org) provides a user-friendly web interface to a wide collection of state-of-the-art statistical techniques for estimating dS and dN and identifying codons and lineages under selection, even in the presence of recombinant sequences. © 2009 Humana Press, a part of Springer Science+Business Media, LLC.

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Poon, A. F. Y., Frost, S. D. W., & Pond, S. L. K. (2009). Detecting signatures of selection from DNA sequences using datamonkey. Methods in Molecular Biology, 537, 163–183. https://doi.org/10.1007/978-1-59745-251-9_8

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