DIYABC pipeline

DIYABC specifications

Information


Unique identifier OMICS_02197
Name DIYABC
Alternative name Do It Yourself Approximate Bayesian Computation
Software type Package/Module
Interface Graphical user interface
Restrictions to use Academic or non-commercial use
Operating system Unix/Linux, Mac OS, Windows
Programming languages C++
Computer skills Medium
Version 2.1.0
Stability Stable
Maintained Yes

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Maintainer


  • person_outline Arnaud Estoup <>

Publications for Do It Yourself Approximate Bayesian Computation

DIYABC IN pipelines

 (4)
2018
PMCID: 5913722
PMID: 29668011
DOI: 10.1590/1678-4685-GMB-2017-0052

[…] mating model and the following critical values (p crit): 0.05, 0.02 and 0.01, as suggested in the program manual., an approximate bayesian computation (abc) approach implemented in the program diyabc v.1.0.46 (cornuet et al., 2008, 2010) was also used to test four different scenarios based in the possible demographic history of this humpback whale population during commercial whaling […]

2017
PMCID: 5415527
PMID: 28479988
DOI: 10.1002/ece3.2831

[…] the population‐level (separate ponds within countries), the country‐level (between belgium and germany), the landmass‐level (between england and continental europe) and also at the level of the diyabc pools used (described below). in the latter case, hierarchical f sts were used to validate the population poolings used for the diyabc as in pedreschi et al. (2014)., in order to test […]

2017
PMCID: 5415527
PMID: 28479988
DOI: 10.1002/ece3.2831

[…] england and continental europe) and also at the level of the diyabc pools used (described below). in the latter case, hierarchical f sts were used to validate the population poolings used for the diyabc as in pedreschi et al. (2014)., in order to test scenarios of colonization confidently, it was imperative to ensure that there was enough power in the dataset to accurately detect […]

2017
PMCID: 5433974
PMID: 28515868
DOI: 10.1002/ece3.2860

[…] populations of winter moth correspond with genetic isolation during the lgm, population history parameters were estimated using approximate bayesian computation (abc) with the software program diyabc v.2.1.0 (cornuet et al., 2008, 2014). for these analyses we included samples from spain, serbia, and georgia as representative of three potential glacial refugia (iberaian, balkan, […]

DIYABC institution(s)
Inra, UMR1062 cbgp, Montpellier, France; Université Montpellier 2, UMR CNRS 5149, I3M, Montpellier, France; Institut de Biologie Computationnelle (IBC), Montpellier, France; CNRS-UM2, Institut de Biologie Computationnelle, LIRMM, Montpellier, France
DIYABC funding source(s)
Supported by French Agence Nationale de la Recherche (ANR-09- BLAN-0145-01), Inra-Jeune Equipe IGGiPop, CBGP HPC computational platform and NUMEV Labex.

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