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Nucleic Acids Research Advance Access originally published online on May 30, 2008
Nucleic Acids Research 2008 36(Web Server issue):W157-W162; doi:10.1093/nar/gkn337
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Nucleic Acids Research, 2008, Vol. 36, No. suppl_2 W157-W162
© 2008 The Author(s)
This is an Open Access article distributed under the terms of the Creative Commons Attribution Non-Commercial License (http://creativecommons.org/licenses/by-nc/2.0/uk/) which permits unrestricted non-commercial use, distribution, and reproduction in any medium, provided the original work is properly cited.


Articles

Standard and generalized McDonald–Kreitman test: a website to detect selection by comparing different classes of DNA sites

Raquel Egea*, Sònia Casillas and Antonio Barbadilla

Genomics, Bioinformatics and Evolution Group, Departament de Genètica i Microbiologia, Universitat Autònoma de Barcelona, 08193 Bellaterra (Barcelona), Spain

*To whom correspondence should be addressed. Tel: +34 935 812730; Fax: +34 935 812387; Email: raquel.egea{at}uab.es

Received February 18, 2008. Revised April 30, 2008. Accepted May 10, 2008.

The McDonald and Kreitman test (MKT) is one of the most powerful and extensively used tests to detect the signature of natural selection at the molecular level. Here, we present the standard and generalized MKT website, a novel website that allows performing MKTs not only for synonymous and nonsynonymous changes, as the test was initially described, but also for other classes of regions and/or several loci. The website has three different interfaces: (i) the standard MKT, where users can analyze several types of sites in a coding region, (ii) the advanced MKT, where users can compare two closely linked regions in the genome that can be either coding or noncoding, and (iii) the multi-locus MKT, where users can analyze many separate loci in a single multi-locus test. The website has already been used to show that selection efficiency is positively correlated with effective population size in the Drosophila genus and it has been applied to include estimates of selection in DPDB. This website is a timely resource, which will presumably be widely used by researchers in the field and will contribute to enlarge the catalogue of cases of adaptive evolution. It is available at http://mkt.uab.es.


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