Abstract

The examples suggest that large sequence datasets may only require a small number of local molecular clocks to reconcile their branch lengths with a time scale. All of the analyses described here are implemented in the open access software package BEAST 1.5.4 (http://beast-mcmc.googlecode.com/).

Keywords

Molecular clockBiologyMarkov chain Monte CarloBayesian probabilityDivergence (linguistics)Molecular evolutionPhylogenetic treeBayesian inferenceInferenceEvolutionary biologyPhylogeneticsBayes' theoremPosterior probabilityAlgorithmStatistical physicsStatisticsComputer scienceMathematicsArtificial intelligenceGeneticsPhysicsGene

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Publication Info

Year
2010
Type
article
Volume
8
Issue
1
Pages
114-114
Citations
440
Access
Closed

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Alexei J. Drummond, Marc A. Suchard (2010). Bayesian random local clocks, or one rate to rule them all. BMC Biology , 8 (1) , 114-114. https://doi.org/10.1186/1741-7007-8-114

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DOI
10.1186/1741-7007-8-114