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

20141,056 citationsJournal Articlebronze Open Access

Authors

Jean‐Marie Cornuet · Centre National de la Recherche Scientifique

Pierre Pudlo · Centre National de la Recherche Scientifique

Julien Veyssier · Centre National de la Recherche Scientifique

Alexandre Dehne-Garcia · Centre National de la Recherche Scientifique

Mathieu Gautier · Centre National de la Recherche Scientifique

Raphaël Leblois · Centre National de la Recherche Scientifique

Abstract

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.

Topics & Keywords

Markov Chains and Monte Carlo Methods Algorithms and Data Compression Stochastic processes and statistical mechanics

UN Sustainable Development Goals

Reduced inequalities

Publication Details

Published in: Bioinformatics

Volume 30, Issue 8, pp. 1187-1189

DOI: 10.1093/bioinformatics/btt763

Field-Weighted Citation Impact: 102.37