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pubmed-article:21199577pubmed:abstractTextMTML-msBayes uses hierarchical approximate Bayesian computation (HABC) under a coalescent model to infer temporal patterns of divergence and gene flow across codistributed taxon-pairs. Under a model of multiple codistributed taxa that diverge into taxon-pairs with subsequent gene flow or isolation, one can estimate hyper-parameters that quantify the mean and variability in divergence times or test models of migration and isolation. The software uses multi-locus DNA sequence data collected from multiple taxon-pairs and allows variation across taxa in demographic parameters as well as heterogeneity in DNA mutation rates across loci. The method also allows a flexible sampling scheme: different numbers of loci of varying length can be sampled from different taxon-pairs.lld:pubmed
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pubmed-article:21199577pubmed:authorpubmed-author:QiYanYlld:pubmed
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pubmed-article:21199577pubmed:articleTitleMTML-msBayes: approximate Bayesian comparative phylogeographic inference from multiple taxa and multiple loci with rate heterogeneity.lld:pubmed
pubmed-article:21199577pubmed:affiliationBiology Department, City University of New York, Queens College, 65-30 Kissena Blvd, Flushing, NY 11367-1597, USA. wenhuang19@yahoo.comlld:pubmed
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