期刊
MOLECULAR BIOLOGY AND EVOLUTION
卷 29, 期 8, 页码 1969-1973出版社
OXFORD UNIV PRESS
DOI: 10.1093/molbev/mss075
关键词
Bayesian phylogenetics; evolution; phylogenetics; molecular evolution; coalescent theory
资金
- National Evolutionary Synthesis Center
- Marsden Trust
- National Science Foundation [DMS 0856099]
- National Institute of Health [R01 GM086887, R01 HG006139]
- Royal Society of London
- Biotechnology and Biological Sciences Research Council [BB/H011285/1]
- Wellcome Trust [WT092807MA]
- BBSRC [BB/H011285/1] Funding Source: UKRI
- Biotechnology and Biological Sciences Research Council [BB/H011285/1] Funding Source: researchfish
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.comandhttp://beast.bio.ed.ac.uk.
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