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Bioinformatics. 2014 Apr 15;30(8):1187-1189. Epub 2014 Jan 2.

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

Author information

1
Inra, UMR1062 cbgp, Montpellier, France, Université Montpellier 2, UMR CNRS 5149, I3M, Montpellier, France, Institut de Biologie Computationnelle (IBC), 34095 Montpellier, France and CNRS-UM2, Institut de Biologie Computationnelle, LIRMM, Montpellier, France.
2
Inra, UMR1062 cbgp, Montpellier, France, Université Montpellier 2, UMR CNRS 5149, I3M, Montpellier, France, Institut de Biologie Computationnelle (IBC), 34095 Montpellier, France and CNRS-UM2, Institut de Biologie Computationnelle, LIRMM, Montpellier, France Inra, UMR1062 cbgp, Montpellier, France, Université Montpellier 2, UMR CNRS 5149, I3M, Montpellier, France, Institut de Biologie Computationnelle (IBC), 34095 Montpellier, France and CNRS-UM2, Institut de Biologie Computationnelle, LIRMM, Montpellier, France Inra, UMR1062 cbgp, Montpellier, France, Université Montpellier 2, UMR CNRS 5149, I3M, Montpellier, France, Institut de Biologie Computationnelle (IBC), 34095 Montpellier, France and CNRS-UM2, Institut de Biologie Computationnelle, LIRMM, Montpellier, France.
3
Inra, UMR1062 cbgp, Montpellier, France, Université Montpellier 2, UMR CNRS 5149, I3M, Montpellier, France, Institut de Biologie Computationnelle (IBC), 34095 Montpellier, France and CNRS-UM2, Institut de Biologie Computationnelle, LIRMM, Montpellier, France Inra, UMR1062 cbgp, Montpellier, France, Université Montpellier 2, UMR CNRS 5149, I3M, Montpellier, France, Institut de Biologie Computationnelle (IBC), 34095 Montpellier, France and CNRS-UM2, Institut de Biologie Computationnelle, LIRMM, Montpellier, France.

Abstract

MOTIVATION:

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.

AVAILABILITY:

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.

PMID:
24389659
DOI:
10.1093/bioinformatics/btt763
[Indexed for MEDLINE]

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