Detecting selection needs comparative data

Rasmus Nielsen () and Melissa J. Hubisz
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Rasmus Nielsen: Centre for Bioinformatics, University of Copenhagen, Universitetsparken 15
Melissa J. Hubisz: Cornell University

Nature, 2005, vol. 433, issue 7023, E6-E6

Abstract: Abstract Arising from: J. B. Plotkin, J. Dushoff & H. B. Fraser Nature 428, 942–945 (2004); see also communication from Hahn et al.; Chen et al.; Plotkin et al. reply Positive selection at the molecular level is usually indicated by an increase in the ratio of non-synonymous to synonymous substitutions (dN/dS) in comparative data. However, Plotkin et al.1 describe a new method for detecting positive selection based on a single nucleotide sequence. We show here that this method is particularly sensitive to assumptions regarding the underlying mutational processes and does not provide a reliable way to identify positive selection.

Date: 2005
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DOI: 10.1038/nature03222

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