Bayesian phylogenetic inference from animal mitochondrial genome arrangements

Bret Larget, Donald L. Simon and Joseph B. Kadane

Journal of the Royal Statistical Society Series B, 2002, vol. 64, issue 4, 681-693

Abstract: Summary. The determination of evolutionary relationships is a fundamental problem in evolutionary biology. Genome arrangement data are potentially more informative than deoxyribonucleic acid sequence data for inferring evolutionary relationships between 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 between eight animal phyla.

Date: 2002
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https://doi.org/10.1111/1467-9868.00356

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