DIYABC v2.0: a software to make approximate Bayesian computation inferences about population history using single nucleotide polymorphism, DNA sequence and microsatellite data.

Abstract : DIYABC is a software package for a comprehensive analysis of population history using approximate Bayesian computation on DNA polymorphism data. Version 2.0 implements a number of new features and analytical methods. It allows (i) the analysis of single nucleotide polymorphism data at large number of loci, apart from microsatellite and DNA sequence data, (ii) efficient Bayesian model choice using linear discriminant analysis on summary statistics and (iii) the serial launching of multiple post-processing analyses. DIYABC v2.0 also includes a user-friendly graphical interface with various new options. It can be run on three operating systems: GNU/Linux, Microsoft Windows and Apple Os X. Freely available with a detailed notice document and example projects to academic users at http://www1.montpellier.inra.fr/CBGP/diyabc CONTACT: estoup@supagro.inra.fr SUPPLEMENTARY INFORMATION: Supplementary data are available at Bioinformatics online.
Keywords : Model evolution Genetics
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Journal articles
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https://hal.archives-ouvertes.fr/hal-01337243
Contributor : Jean-Michel Marin <>
Submitted on : Friday, June 24, 2016 - 4:47:39 PM
Last modification on : Wednesday, July 10, 2019 - 7:14:02 PM

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Jean-Marie Cornuet, Pierre Pudlo, Julien Veyssier, Alexandre Dehne-Garcia, Mathieu Gautier, et al.. DIYABC v2.0: a software to make approximate Bayesian computation inferences about population history using single nucleotide polymorphism, DNA sequence and microsatellite data.. Bioinformatics, Oxford University Press (OUP), 2014, 30 (8), pp.1187-1189. ⟨10.1093/bioinformatics/btt763⟩. ⟨hal-01337243⟩

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