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Bayesian Phylogenetics with BEAUti and the BEAST 1.7

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Drummond, Alexei J., Suchard, Marc A., Xie, Dong, Rambaut, Andrew·2012·Molecular Biology and Evolution
DOI 10.1093/molbev/mss075
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Abstract

Computational evolutionary biology, statistical phylogenetics and coalescent-based population genetics are becoming increasingly central to the analysis and understanding of molecular sequence data. We present the Bayesian Evolutionary Analysis by Sampling Trees (BEAST) software package version 1.7, which implements a family of Markov chain Monte Carlo (MCMC) algorithms for Bayesian phylogenetic inference, divergence time dating, coalescent analysis, phylogeography and related molecular evolutionary analyses. This package includes an enhanced graphical user interface program called Bayesian Evolutionary Analysis Utility (BEAUti) that enables access to advanced models for molecular sequence and phenotypic trait evolution that were previously available to developers only. The package also provides new tools for visualizing and summarizing multispecies coalescent and phylogeographic analyses. BEAUti and BEAST 1.7 are open source under the GNU lesser general public license and available at http://beast-mcmc.googlecode.com and http://beast.bio.ed.ac.uk.

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Cited by

Metadata

Authors
Drummond, A. J., Suchard, M. A., Xie, D., & Rambaut, A.
Venue
Molecular Biology and Evolution
Publisher
Oxford University Press (OUP)
Published
2012-02-25
Volume
29
Issue
8
Pages
1969-1973
ISSN
  • 0737-4038 (ISSN-L)
  • 1537-1719
DOI
10.1093/molbev/mss075
OpenAlex
W2130362098
Cited by
10,063
References
2
FWCI
262.43
Type
journal article
Language
en
Open access
hybrid

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