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

JeanMarie Cornuet | Zendy; Pierre Pudlo | Zendy; Julien Veyssier | Zendy; Alexandre Dehne-Garcia | Zendy; Mathieu Gautier | Zendy; Raphaël Leblois | Zendy; JeanMichel Marin | Zendy; Arnaud Estoup | Zendy

Open Access

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

Author(s) -

JeanMarie Cornuet,

Pierre Pudlo,

Julien Veyssier,

Alexandre Dehne-Garcia,

Mathieu Gautier,

Raphaël Leblois,

JeanMichel Marin,

Arnaud Estoup

Publication year - 2014

Publication title -

bioinformatics

Language(s) - English

Resource type - Journals

eISSN - 1367-4811

pISSN - 1367-4803

DOI - 10.1093/bioinformatics/btt763

Subject(s) - computer science , software , bayesian probability , microsatellite , population , computation , data mining , programming language , biology , artificial intelligence , genetics , allele , demography , sociology , gene

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.

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