BEAST: Bayesian evolutionary analysis by sampling trees |
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| Authors: | Alexei J Drummond Andrew Rambaut |
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| Affiliation: | (1) Bioinformatics Institute, University of Auckland, Auckland, New Zealand;(2) Department of Computer Science, University of Auckland, Auckland, New Zealand;(3) Institute of Evolutionary Biology, University of Edinburgh, Edinburgh, UK |
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| Abstract: | Background The evolutionary analysis of molecular sequence variation is a statistical enterprise. This is reflected in the increased use of probabilistic models for phylogenetic inference, multiple sequence alignment, and molecular population genetics. Here we present BEAST: a fast, flexible software architecture for Bayesian analysis of molecular sequences related by an evolutionary tree. A large number of popular stochastic models of sequence evolution are provided and tree-based models suitable for both within- and between-species sequence data are implemented. |
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