VMCMC: A graphical and statistical analysis tool for Markov chain Monte Carlo traces

  • Raja H. Ali
  • , Mikael Bark
  • , Jorge Miró
  • , Sayyed A. Muhammad
  • , Joel Sjöstrand
  • , Syed M. Zubair
  • , Raja M. Abbas
  • , Lars Arvestad*
  • *Corresponding author for this work

Research output: Contribution to journalArticlepeer-review

38 Scopus citations

Abstract

Background: MCMC-based methods are important for Bayesian inference of phylogeny and related parameters. Although being computationally expensive, MCMC yields estimates of posterior distributions that are useful for estimating parameter values and are easy to use in subsequent analysis. There are, however, sometimes practical difficulties with MCMC, relating to convergence assessment and determining burn-in, especially in large-scale analyses. Currently, multiple software are required to perform, e.g., convergence, mixing and interactive exploration of both continuous and tree parameters. Results: We have written a software called VMCMC to simplify post-processing of MCMC traces with, for example, automatic burn-in estimation. VMCMC can also be used both as a GUI-based application, supporting interactive exploration, and as a command-line tool suitable for automated pipelines. Conclusions: VMCMC is a free software available under the New BSD License. Executable jar files, tutorial manual and source code can be downloaded from https://bitbucket.org/rhali/visualmcmc/.

Original languageEnglish
Article number97
JournalBMC Bioinformatics
Volume18
Issue number1
DOIs
StatePublished - 10 Feb 2017
Externally publishedYes

Bibliographical note

Publisher Copyright:
© 2017 The Author(s).

Keywords

  • Convergence
  • Markov chain Monte Carlo
  • Metropolis-Hastings
  • Phylogenetics
  • Software
  • Visualization

ASJC Scopus subject areas

  • Structural Biology
  • Biochemistry
  • Molecular Biology
  • Computer Science Applications
  • Applied Mathematics

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