Bayesian phylogenetic inference from animal mitochondrial genome arrangements
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. Copyright 2002 Royal Statistical Society.
Year of publication: |
2002
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Authors: | Larget, Bret ; Simon, Donald L. ; Kadane, Joseph B. |
Published in: |
Journal of the Royal Statistical Society Series B. - Royal Statistical Society - RSS, ISSN 1369-7412. - Vol. 64.2002, 4, p. 681-693
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Publisher: |
Royal Statistical Society - RSS |
Saved in:
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