articleBioinformaticsJan 2, 2014BRONZE OA

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

JCJean‐Marie CornuetPPPierre PudloJVJulien VeyssierADAlexandre Dehne-GarciaMGMathieu Gautier

Centre National de la Recherche Scientifique · Université de Montpellier · +2 more institutions

PubMed
Indexed incrossrefdoajpubmed

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 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.…

Citation impact

1,056
total citations
FWCI
101.10
Percentile
100%
References
14
Citations per year

Authors

8

Topics & keywords

Topics
Keywords
  • Computer science
  • Software
  • Bayesian probability
  • Microsatellite
  • Population
  • Computation
  • Data mining
  • Programming language
UN Sustainable Development Goals
  • Reduced inequalities
No related works found for this paper.

Funding