MrBayesA tool to help you with your Bayesian estimation of phylogeny. | |
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MrBayes Ranking & Summary
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- License:
- GPL
- Publisher Name:
- Sebastian Hoehna
- Operating Systems:
- Windows All
- File Size:
- 494 KB
MrBayes Tags
- analyzer analysis Cost Estimation Bayesian estimation Bayesian estimation Time estimation Motion Estimation CFF3 estimation software estimation parameter estimation Estimation Decoder Bayesian nets create Bayesian network disparity estimation Bayesian Network support FDR estimation Naive Bayesian Classifier research Bayesian network study Bayesian network haplotype estimation analyze phylogeny phylogeny Bayesian estimation Bayesian network editor edit Bayesian network distribution estimation performance estimation Estimation Creator osmosis estimation bayesian alignment solve Bayesian Nets Bayesian Nets solver view Bayesian Nets Bayesian analisis Bayesian method implementation Bayesian method Bayesian analysis phylogeny inference model parameters estimation volume ellipsoid estimation multivariate estimation large phylogeny inference large phylogeny estimation Bayesian MCMC analysis large phylogenies estimation phylogeny reconstruction reconstruct phylogeny rough cost estimation molecular phylogeny phylogeny duct estimation effort estimation HVAC estimation production cost estimation printing estimation print estimation bayesian filtering
MrBayes Description
MrBayes is a simple, easy to use application specially designed for the Bayesian estimation of phylogeny. The program takes as input a character matrix in a NEXUS file format. The output is several files with the parameters that were sampled by the MCMC algorithm. MrBayes can summarize the information in these files for the user. Main features: A common command-line interface for Macintosh, Windows, and UNIX operating systems; Extensive help available via the command line; Ability to analyze nucleotide, amino acid, restriction site, and morphological data; Mixing of data types, such as molecular and morphological characters, in a single analysis; A general method for assigning parameters across data partitions; An abundance of evolutionary models, including 4 X 4, doublet, and codon models for nucleotide data and many of the standard rate matrices for amino acid data; Estimation of positively.selected sites in a fully hierarchical Bayes framework.
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