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

作者：Cornuet, Jean-Marie; Pudlo, Pierre; Veyssier, Julien; Dehne-Garcia, Alexandre; Gautier, Mathieu; Leblois, Raphael; Marin, Jean-Michel; Estoup, Arnaud^*

来源：Bioinformatics, 2014, 30(8): 1187-1189.

DOI：10.1093/bioinformatics/btt763

• MODEL
• ABC

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.

• 出版日期2014-4-15