Bayesian phylogenetics with BEAUti and the BEAST 1.7

Alexei J Drummond, Marc A Suchard, Dong Xie, Andrew Rambaut

Research output: Contribution to journalArticlepeer-review

Abstract / Description of output

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 multi-species coalescent and phylogeographic analyses. BEAUti and BEAST 1.7 are open-source under the GNU lesser general public license and available at and
Original languageEnglish
Pages (from-to)1969-1973
Number of pages5
JournalMolecular Biology and Evolution
Issue number8
Publication statusPublished - Aug 2012

Keywords / Materials (for Non-textual outputs)

  • Bayesian phylogenetics
  • evolution
  • phylogenetics
  • molecular evolution
  • coalescent theory


Dive into the research topics of 'Bayesian phylogenetics with BEAUti and the BEAST 1.7'. Together they form a unique fingerprint.

Cite this