Bayesian Phylogenetics with BEAUti and the BEAST 1.7
University of Auckland · Allan Wilson Centre · +2 more institutions
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…
Citation impact
- FWCI
- 465.32
- Percentile
- 100%
- References
- 25
Authors
4Topics & keywords
- Coalescent theory
- Markov chain Monte Carlo
- Biology
- Evolutionary biology
- Phylogenetic tree
- Bayesian probability
- Phylogenetics
- Phylogeography