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Bayesian Phylogenetics with BEAUti and the BEAST 1.7
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,...
Autores principales: | , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Oxford University Press
2012
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC3408070/ https://www.ncbi.nlm.nih.gov/pubmed/22367748 http://dx.doi.org/10.1093/molbev/mss075 |
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author | Drummond, Alexei J. Suchard, Marc A. Xie, Dong Rambaut, Andrew |
author_facet | Drummond, Alexei J. Suchard, Marc A. Xie, Dong Rambaut, Andrew |
author_sort | Drummond, Alexei J. |
collection | PubMed |
description | 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 |
format | Online Article Text |
id | pubmed-3408070 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2012 |
publisher | Oxford University Press |
record_format | MEDLINE/PubMed |
spelling | pubmed-34080702012-07-30 Bayesian Phylogenetics with BEAUti and the BEAST 1.7 Drummond, Alexei J. Suchard, Marc A. Xie, Dong Rambaut, Andrew Mol Biol Evol Research Articles 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 Oxford University Press 2012-08 2012-02-25 /pmc/articles/PMC3408070/ /pubmed/22367748 http://dx.doi.org/10.1093/molbev/mss075 Text en © The Author(s) 2012. Published by Oxford University Press on behalf of the Society for Molecular Biology and Evolution http://creativecommons.org/licenses/by-nc/3.0 This is an Open Access article distributed under the terms of the Creative Commons Attribution Non-Commercial License (http://creativecommons.org/licenses/by-nc/3.0), which permits unrestricted non-commercial use, distribution, and reproduction in any medium, provided the original work is properly cited. |
spellingShingle | Research Articles Drummond, Alexei J. Suchard, Marc A. Xie, Dong Rambaut, Andrew Bayesian Phylogenetics with BEAUti and the BEAST 1.7 |
title | Bayesian Phylogenetics with BEAUti and the BEAST 1.7 |
title_full | Bayesian Phylogenetics with BEAUti and the BEAST 1.7 |
title_fullStr | Bayesian Phylogenetics with BEAUti and the BEAST 1.7 |
title_full_unstemmed | Bayesian Phylogenetics with BEAUti and the BEAST 1.7 |
title_short | Bayesian Phylogenetics with BEAUti and the BEAST 1.7 |
title_sort | bayesian phylogenetics with beauti and the beast 1.7 |
topic | Research Articles |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC3408070/ https://www.ncbi.nlm.nih.gov/pubmed/22367748 http://dx.doi.org/10.1093/molbev/mss075 |
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