Journal
BIOINFORMATICS
Volume 30, Issue 8, Pages 1187-1189Publisher
OXFORD UNIV PRESS
DOI: 10.1093/bioinformatics/btt763
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Funding
- French Agence Nationale de la Recherche [ANR-09-BLAN- 0145-01]
- Inra-Jeune Equipe IGGiPop
- NUMEV Labex
- CBGP HPC computational platform
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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 micro-satellite 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.
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