Information about software packages installed on the ICHEC systems.
Fionn: 3.2.3-rev855 / 3.2.2
MrBayes is a program for the Bayesian estimation of phylogeny. Bayesian inference of phylogeny is based upon a quantity called the posterior probability distribution of trees, which is the probability of a tree conditioned on the observations. The conditioning is accomplished using Bayes's theorem. The posterior probability distribution of trees is impossible to calculate analytically; instead, MrBayes uses a simulation technique called Markov chain Monte Carlo (or MCMC) to approximate the posterior probabilities of trees.
MrBayes is free software; you can redistribute it and/or modify it under the terms of the GNU General Public License as published by the Free Software Foundation; either version 3 of the License, or (at your option) any later version. The program is distributed in the hope that it will be useful, but WITHOUT ANY WARRANTY; without even the implied warranty of MERCHANTABILITY or FITNESS FOR A PARTICULAR PURPOSE. See the GNU General Public License for more details
To use MrBayes load the relevant environment module:
module load bio mrbayes/intel/3.2.2
Mrbayes is enabled for parallel execution. An example of how to submit a job to the queue is below.
Job Submission Example
#PBS -l nodes=1:ppn=24
#PBS -l walltime=00:10:00
#PBS -N MyJobName
#PBS -A MyProjectName
#PBS -j oe
module load bio mrbayes/intel/r855
echo "Running test"
mpiexec -n 2 mb << eof
This job can be submitted using the command
Where scriptname.pbs is the filename of the sample PBS script
How to cite MrBayes:
Run the citation command from the interface. The main references are below.
Huelsenbeck J. P., Ronquist F., Nielsen R. and Bollback J.P. (2001)
Bayesian inference of phylogeny and its impact on evolutionary biology.
Science 294: 2310-2314.
Ronquist F. and Huelsenbeck J.P. (2003)
MRBAYES 3: Bayesian phylogenetic inference under mixed models.
Bioinformatics 19: 1572-1574.
Ronquist, F. et al. 2012. MRBAYES 3.2: Efficient Bayesian phylogenetic
inference and model selection across a large model space. Systematic
Biology 61 (3): 539-542.
Altekar, G., S. Dwarkadas, J. P. Huelsenbeck, and F. Ronquist. (2004).
Parallel Metropolis-coupled Markov chain Monte Carlo for Bayesian
phylogenetic inference. Bioinformatics 20:407-415.