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

Cornuet, Jean‐Marie; Pudlo, Pierre; Veyssier, Julien; Dehne-Garcia, Alexandre; Gautier, Mathieu; Leblois, Raphaël; Marin, Jean‐Michel; Estoup, Arnaud

doi:10.1093/bioinformatics/btt763

Public

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

Published in Bioinformatics • Jan 2, 2014

Authors:

Jean‐Marie Cornuet

Pierre Pudlo

Julien Veyssier

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 la...

Subject

Computer science

Software

Bayesian probability

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