2015
DOI: 10.1111/1755-0998.12437
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IMa2p – parallel MCMC and inference of ancient demography under the Isolation with migration (IM) model

Abstract: IMa2 and related programs are used to study the divergence of closely related species and of populations within species. These methods are based on the sampling of genealogies using MCMC, and they can proceed quite slowly for larger data sets. We describe a parallel implementation, called IMa2p, that provides a nearly linear increase in genealogy sampling rate with the number of processors in use. IMa2p is written in OpenMPI and C++, and scales well for demographic analyses of a large number of loci and popula… Show more

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Cited by 70 publications
(68 citation statements)
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“…A prominent set of tools for this analysis includes IM, IMa, IMa2, and IMa2p (Hey, 2010; Hey, Chung, & Sethuraman, 2015; Hey & Nielsen, 2007; Sethuraman & Hey, 2015). In general, these methods utilize a Bayesian Metropolis‐coupled Markov Chain Monte Carlo (MCMCMC) method to estimate effective population sizes, migration rates, and divergence times under the IM model from haplotypic data.…”
Section: Improving Downstream Computational Analysesmentioning
confidence: 99%
“…A prominent set of tools for this analysis includes IM, IMa, IMa2, and IMa2p (Hey, 2010; Hey, Chung, & Sethuraman, 2015; Hey & Nielsen, 2007; Sethuraman & Hey, 2015). In general, these methods utilize a Bayesian Metropolis‐coupled Markov Chain Monte Carlo (MCMCMC) method to estimate effective population sizes, migration rates, and divergence times under the IM model from haplotypic data.…”
Section: Improving Downstream Computational Analysesmentioning
confidence: 99%
“…Our extensive sequence data are more likely to meet the mutation models assumed in many coalescent-based demographic inference programs that test models of isolation with migration (IMA2p software, Hey, 2010a;Hey, 2010b;Sethuraman & Hey, 2016). Our extensive sequence data are more likely to meet the mutation models assumed in many coalescent-based demographic inference programs that test models of isolation with migration (IMA2p software, Hey, 2010a;Hey, 2010b;Sethuraman & Hey, 2016).…”
Section: Introductionmentioning
confidence: 98%
“…To test these predictions, we estimated the rate and direction of gene flow between regions in a pairwise manner (e.g. CT vs. IO and CT vs. PO) using the coalescent Isolation with Migration (IMa) model (Hey & Nielsen, ; Nielsen & Wakeley, ) as implemented in IMa2 and IMa2p packages (Sethuraman & Hey, ). A pairwise approach rather than a full model was implemented to circumvent the problem of giving an a priori historical scenario (e.g.…”
Section: Methodsmentioning
confidence: 99%