Change search
CiteExportLink to record
Permanent link

Direct link
Cite
Citation style
  • apa
  • ieee
  • modern-language-association-8th-edition
  • vancouver
  • Other style
More styles
Language
  • de-DE
  • en-GB
  • en-US
  • fi-FI
  • nn-NO
  • nn-NB
  • sv-SE
  • Other locale
More languages
Output format
  • html
  • text
  • asciidoc
  • rtf
VMCMC: a graphical and statistical analysis tool for Markov chain Monte Carlo traces
Show others and affiliations
Number of Authors: 82017 (English)In: BMC Bioinformatics, E-ISSN 1471-2105, Vol. 18, article id 97Article in journal (Refereed) Published
Abstract [en]

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/.

Place, publisher, year, edition, pages
2017. Vol. 18, article id 97
Keywords [en]
Convergence, Markov chain Monte Carlo, Metropolis-Hastings, Phylogenetics, Software, Visualization
National Category
Biological Sciences Environmental Biotechnology
Identifiers
URN: urn:nbn:se:su:diva-142512DOI: 10.1186/s12859-017-1505-3ISI: 000397489700003PubMedID: 28187712OAI: oai:DiVA.org:su-142512DiVA, id: diva2:1094523
Available from: 2017-05-10 Created: 2017-05-10 Last updated: 2024-01-17Bibliographically approved

Open Access in DiVA

No full text in DiVA

Other links

Publisher's full textPubMed

Authority records

Arvestad, Lars

Search in DiVA

By author/editor
Arvestad, Lars
By organisation
Numerical Analysis and Computer Science (NADA)Science for Life Laboratory (SciLifeLab)
In the same journal
BMC Bioinformatics
Biological SciencesEnvironmental Biotechnology

Search outside of DiVA

GoogleGoogle Scholar

doi
pubmed
urn-nbn

Altmetric score

doi
pubmed
urn-nbn
Total: 1018 hits
CiteExportLink to record
Permanent link

Direct link
Cite
Citation style
  • apa
  • ieee
  • modern-language-association-8th-edition
  • vancouver
  • Other style
More styles
Language
  • de-DE
  • en-GB
  • en-US
  • fi-FI
  • nn-NO
  • nn-NB
  • sv-SE
  • Other locale
More languages
Output format
  • html
  • text
  • asciidoc
  • rtf