Carnegie Mellon University
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Bayesian Phylogenetic Inference from Animal Mitocondrial Genome Arrangements

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journal contribution
posted on 2005-06-01, 00:00 authored by Bret Larget, Donald L. Simon, Joseph B. Kadane

The determination of evolutionary relationships is a fundamental problem in evolutionary biology. Genome arrangement data is potentially more informative than DNA sequence data for inferring evolutionary relationships among distantly related taxa. We describe a Bayesian framework for phylogenetic inference from mitochondrial genome arrangement data using Markov chain Monte Carlo methods. We apply the method to assess evolutionary relationships among eight animal phyla.


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