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MTML-msBayes: Approximate Bayesian comparative phylogeographic inference from multiple taxa and multiple loci with rate heterogeneity
Authors:Wen Huang  Naoki Takebayashi  Yan Qi and Michael J Hickerson
Institution:(1) Biology Department, City University of New York, Queens College, 65-30 Kissena Blvd, 11367-1597 Flushing, NY, USA;(2) Institute of Arctic Biology and Department of Biology and Wildlife, University of Alaska, 311 Irving I Bldg, 99775 Fairbanks, AK, USA;(3) The Graduate Center of the City University of New York, 365 5th Ave, 10016 New York, NY, USA
Abstract:

Background  

MTML-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.
Keywords:
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