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Bioinformatics Advance Access published online on April 14, 2008
Bioinformatics, doi:10.1093/bioinformatics/btn136
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© The Author (2008). Published by Oxford University Press. All rights reserved. For Permissions, please email: journals.permissions@oxfordjournals.org

Analysing georeferenced population genetics data with Geneland: a new algorithm to deal with null alleles and a friendly graphical user interface.

Gilles Guillot 1,*, Filipe Santos 2 and Arnaud Estoup 2

1Centre for Ecological and Evolutionary Synthesis Department of Biology, University of Oslo, P.O Box 1066 Blindern, 0316 Oslo Norway. Also INRA Applied Math. Dept., Paris, France.
2Centre de Biologie et de Gestion des Populations, INRA / IRD / CIRAD / Montpellier SupAgro, Campus international de Baillarguet, CS 30016, F-34988 Montferrier-sur-Lez cedex, France.

*To whom correspondence should be addressed. Dr. Gilles Guillot, E-mail: gilles.guillot{at}bio.uio.no


  Abstract

Motivation: We introduce a new algorithm to account for the presence of null alleles in inferences of populations clusters from individual multilocus genetic data. We show by simulations that the presence of null alleles can affect the accuracy of inferences if not properly accounted for and that our algorithm improve signficantly their accuracy.

Availability: This new algorithm is implemented in the program Geneland. It is freely available under GNU public license as an R package on the Comprehensive R Archive Network. It now includes a fully clickable graphical interface. Informations on how to get the software are available on folk.uio.no/gillesg/Geneland.html

Supplementary material: Details on the simulation study are available from folk.uio.no/gillesg/BioInformatics_Geneland

Contact: gilles.guillot{at}bio.uio.no

Associate Editor: Prof. Martin Bishop

Received on March 27, 2008; revised on April 9, 2008; accepted on April 9, 2008

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G. Guillot
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