Difference between revisions of "MrBayes"

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(New page: MrBayes has been installed on the cluster. We currently have two different versions installed: /apps/mrbayes/bin/mb-mpi <- Parallel Version /apps/mrbayes/bin/mb <- Single proces...)
 
m (Text replacement - "#uppercase" to "uc")
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MrBayes has been installed on the cluster. We currently have two different versions installed:
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__NOTOC__
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__NOEDITSECTION__
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[[Category:Software]][[Category:Phylogenetics]]
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{|<!--Main settings - REQUIRED-->
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|{{#vardefine:app|mrbayes}}
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|{{#vardefine:url|http://mrbayes.sourceforge.net/}}
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|{{#vardefine:exe|}} <!--Present manual instructions for running the software -->
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|{{#vardefine:conf|}} <!--Enable config wiki page link - {{#vardefine:conf|1}} = ON/conf|}} = OFF-->
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|{{#vardefine:pbs|}} <!--Enable PBS script wiki page link-->
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|{{#vardefine:policy|}} <!--Enable policy section -->
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|{{#vardefine:testing|}} <!--Enable performance testing/profiling section -->
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|{{#vardefine:faq|}} <!--Enable FAQ section -->
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|{{#vardefine:citation|}} <!--Enable Reference/Citation section -->
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|}
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<!-- ########  Template Body ######## -->
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<!--Description-->
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{{#if: {{#var: url}}|
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{{App_Description|app={{#var:app}}|url={{#var:url}}|name={{#var:app}}}}|}}
  
/apps/mrbayes/bin/mb-mpi  <- Parallel Version
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MrBayes is a program for Bayesian inference and model choice across a wide range of phylogenetic and evolutionary models. MrBayes uses Markov chain Monte Carlo (MCMC) methods to estimate the posterior distribution of model parameters.
/apps/mrbayes/bin/mb       <- Single processor version
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In addition to the official MrBayes distribution, a modified version that uses the Gamma-Dirichlet and Inverse Gamma-Dirichlet priors for branch lengths (Rannala et al. in press; Zhang et al. 2012). This also includes the two exponential priors on internal and external branch lengths described by Yang & Rannala (2005) and Yang (2007). Please see [http://abacus.gene.ucl.ac.uk/software.html Ziheng Yang's site] for more information and citations. The modified version is only installed for openmpi and is called mb_Dirichlet. To run this version, simply replace mb with mb_Dirichlet in the examples below.
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<!--Modules-->
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==Required Modules==
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[[Modules|modules documentation]]
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===Serial===
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*{{#var:app}}
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===Parallel (OpenMP)===
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*intel
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*{{#var:app}}
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===Parallel (OpenMPI)===
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*intel
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*openmpi
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*{{#var:app}}
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==System Variables==
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* HPC_{{uc:{{#var:app}}}}_DIR - installation directory
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<!--Additional-->
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{{#if: {{#var: exe}}|==Additional Information==
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WRITE INSTRUCTIONS ON RUNNING THE ACTUAL BINARY|}}
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{{#if: {{#var: conf}}|==Configuration==
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See the [[{{PAGENAME}}_Configuration]] page for {{#var: app}} configuration details.|}}
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{{#if: {{#var: pbs}}|==PBS Script Examples==|}}
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For MPI jobs: Remember that the total number of cores cannot be greater than the total number of chains MrBayes is using. For example, if you have 2 runs, each with 4 chains, the maximum number of cores to request is 2*4=8 cores. As long as the number of cores is under 12, it is best to keep nodes=1 (nodes = physical machines) as that will keep all communication within a single node. If you need more than 12 cores, you will probably want to add :infiniband to the request. (e.g. nodes=4:ppn=8:infiniband).
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<!--
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{{#fileAnchor: mrbayes.MPI.pbs}}
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Download raw source of the [{{#fileLink: mrbayes.MPI.pbs}} mrbayes.MPI.pbs]
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<source lang=bash>
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#!/bin/bash
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#
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#PBS -N mrbayes
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#PBS -M <your e-mail>
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#PBS -m abe
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#PBS -o mb.$PBS_JOBID.out
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#PBS -e mb.$PBS_JOBID.err
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#PBS -l nodes=1:ppn=8
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#PBS -l pmem=500mb
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#PBS -l walltime=01:00:00
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#
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# Change to the directory from which the job was submitted
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#
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cd $PBS_O_WORKDIR
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#
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# Use modules to configure your environment for mrbayes
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#
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module load intel
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module load openmpi
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module load mrbayes
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#
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# Run MrBayes using the command line from documentation.
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#
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mpiexec mb my_nexus.nex
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</source>
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'''Script for serial (single core) MrBayes job:'''
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{{#fileAnchor: mrbayes.serial.pbs}}
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Download raw source of the [{{#fileLink: mrbayes.serial.pbs}} mrbayes.serial.pbs]
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<source lang=bash>
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#!/bin/bash
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#
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#PBS -N mrbayes
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#PBS -M <your e-mail>
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#PBS -m abe
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#PBS -o mb.$PBS_JOBID.out
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#PBS -e mb.$PBS_JOBID.err
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#PBS -l nodes=1:ppn=1
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#PBS -l pmem=500mb
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#PBS -l walltime=01:00:00
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#
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# Change to the directory from which the job was submitted
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#
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cd $PBS_O_WORKDIR
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#
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# Use modules to configure your environment for mrbayes
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#
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module load mrbayes
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#
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# launch the executable
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#
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mb my_nexus.nex
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</source>
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-->
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{{#if: {{#var: policy}}|==Usage Policy==
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WRITE USAGE POLICY HERE (perhaps templates for a couple of main licensing schemes can be used)|}}
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{{#if: {{#var: testing}}|==Performance==
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WRITE PERFORMANCE TESTING RESULTS HERE|}}
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{{#if: {{#var: faq}}|==FAQ==
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*'''Q:''' **'''A:'''|}}
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{{#if: {{#var: citation}}|==Citation==
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If you publish research that uses {{{app}}} you have to cite it as follows:
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WRITE CITATION HERE
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|}}

Revision as of 21:23, 6 December 2019

Description

mrbayes website  

MrBayes is a program for Bayesian inference and model choice across a wide range of phylogenetic and evolutionary models. MrBayes uses Markov chain Monte Carlo (MCMC) methods to estimate the posterior distribution of model parameters.

In addition to the official MrBayes distribution, a modified version that uses the Gamma-Dirichlet and Inverse Gamma-Dirichlet priors for branch lengths (Rannala et al. in press; Zhang et al. 2012). This also includes the two exponential priors on internal and external branch lengths described by Yang & Rannala (2005) and Yang (2007). Please see Ziheng Yang's site for more information and citations. The modified version is only installed for openmpi and is called mb_Dirichlet. To run this version, simply replace mb with mb_Dirichlet in the examples below.

Required Modules

modules documentation

Serial

  • mrbayes

Parallel (OpenMP)

  • intel
  • mrbayes

Parallel (OpenMPI)

  • intel
  • openmpi
  • mrbayes

System Variables

  • HPC_MRBAYES_DIR - installation directory


For MPI jobs: Remember that the total number of cores cannot be greater than the total number of chains MrBayes is using. For example, if you have 2 runs, each with 4 chains, the maximum number of cores to request is 2*4=8 cores. As long as the number of cores is under 12, it is best to keep nodes=1 (nodes = physical machines) as that will keep all communication within a single node. If you need more than 12 cores, you will probably want to add :infiniband to the request. (e.g. nodes=4:ppn=8:infiniband).