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rdf:type |
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lifeskim:mentions |
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pubmed:dateCreated |
2011-2-1
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pubmed:abstractText |
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.
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pubmed:grant |
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pubmed:commentsCorrections |
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pubmed:language |
eng
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pubmed:journal |
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pubmed:citationSubset |
IM
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pubmed:status |
MEDLINE
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pubmed:issn |
1471-2105
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pubmed:author |
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pubmed:issnType |
Electronic
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pubmed:volume |
12
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pubmed:owner |
NLM
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pubmed:authorsComplete |
Y
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pubmed:pagination |
1
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pubmed:dateRevised |
2011-7-22
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pubmed:meshHeading |
pubmed-meshheading:21199577-Algorithms,
pubmed-meshheading:21199577-Animals,
pubmed-meshheading:21199577-Bayes Theorem,
pubmed-meshheading:21199577-Birds,
pubmed-meshheading:21199577-Demography,
pubmed-meshheading:21199577-Evolution, Molecular,
pubmed-meshheading:21199577-Gene Flow,
pubmed-meshheading:21199577-Genetic Loci,
pubmed-meshheading:21199577-Genetic Variation,
pubmed-meshheading:21199577-Models, Statistical,
pubmed-meshheading:21199577-Phylogeography,
pubmed-meshheading:21199577-Sequence Analysis, DNA,
pubmed-meshheading:21199577-Software
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pubmed:year |
2011
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pubmed:articleTitle |
MTML-msBayes: approximate Bayesian comparative phylogeographic inference from multiple taxa and multiple loci with rate heterogeneity.
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pubmed:affiliation |
Biology Department, City University of New York, Queens College, 65-30 Kissena Blvd, Flushing, NY 11367-1597, USA. wenhuang19@yahoo.com
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pubmed:publicationType |
Journal Article,
Research Support, U.S. Gov't, Non-P.H.S.,
Research Support, N.I.H., Extramural
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