Document Detail


DIYABC v2.0: a software to make approximate Bayesian computation inferences about population history using single nucleotide polymorphism, DNA sequence and microsatellite data.
MedLine Citation:
PMID:  24389659     Owner:  NLM     Status:  Publisher    
Abstract/OtherAbstract:
MOTIVATION: DIYABC is a software package for a comprehensive analysis of population history using approximate Bayesian computation (ABC) 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 (SNP) 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.
AVAILABILITY: Availability: Freely available with a detailed notice document and example projects to academic users from: http://www1.montpellier.inra.fr/CBGP/diyabc CONTACT: estoup@supagro.inra.fr.
Authors:
Jean-Marie Cornuet; Pierre Pudlo; Julien Veyssier; Alexandre Dehne-Garcia; Mathieu Gautier; Raphaël Leblois; Jean-Michel Marin; Arnaud Estoup
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Publication Detail:
Type:  JOURNAL ARTICLE     Date:  2014-1-2
Journal Detail:
Title:  Bioinformatics (Oxford, England)     Volume:  -     ISSN:  1367-4811     ISO Abbreviation:  Bioinformatics     Publication Date:  2014 Jan 
Date Detail:
Created Date:  2014-1-6     Completed Date:  -     Revised Date:  -    
Medline Journal Info:
Nlm Unique ID:  9808944     Medline TA:  Bioinformatics     Country:  -    
Other Details:
Languages:  ENG     Pagination:  -     Citation Subset:  -    
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From MEDLINE®/PubMed®, a database of the U.S. National Library of Medicine


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