MTML-msBayes: Approximate Bayesian comparative phylogeographic inference from multiple taxa and multiple loci with rate heterogeneity
Top Cited Papers
Open Access
- 3 January 2011
- journal article
- research article
- Published by Springer Nature in BMC Bioinformatics
- Vol. 12 (1) , 1
- https://doi.org/10.1186/1471-2105-12-1
Abstract
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
This publication has 72 references indexed in Scilit:
- ABCtoolbox: a versatile toolkit for approximate Bayesian computationsBMC Bioinformatics, 2010
- Phylogenetic structure in tropical hummingbird communitiesProceedings of the National Academy of Sciences, 2009
- Rapid radiation in spiny lobsters (Palinurus spp) as revealed by classic and ABC methods using mtDNA and microsatellite dataBMC Ecology and Evolution, 2009
- REJECTOR: software for population history inference from genetic data via a rejection algorithmBioinformatics, 2008
- Inferring population history withDIY ABC: a user-friendly approach to approximate Bayesian computationBioinformatics, 2008
- Rapid transcriptome characterization for a nonmodel organism using 454 pyrosequencingMolecular Ecology, 2008
- Statistical evaluation of alternative models of human evolutionProceedings of the National Academy of Sciences, 2007
- msBayes: Pipeline for testing comparative phylogeographic histories using hierarchical approximate Bayesian computationBMC Bioinformatics, 2007
- Evolutionary trees from DNA sequences: A maximum likelihood approachJournal of Molecular Evolution, 1981
- Mathematical model for studying genetic variation in terms of restriction endonucleases.Proceedings of the National Academy of Sciences, 1979