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Real-Time and Remote MCMC Trace Inspection with Beastiary
Bayesian phylogenetics has gained substantial popularity in the last decade, with most implementations relying on Markov chain Monte Carlo (MCMC). The computational demands of MCMC mean that remote servers are increasingly used. We present Beastiary, a package for real-time and remote inspection of...
Autores principales: | , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Oxford University Press
2022
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9156035/ https://www.ncbi.nlm.nih.gov/pubmed/35552742 http://dx.doi.org/10.1093/molbev/msac095 |
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author | Wirth, Wytamma Duchene, Sebastian |
author_facet | Wirth, Wytamma Duchene, Sebastian |
author_sort | Wirth, Wytamma |
collection | PubMed |
description | Bayesian phylogenetics has gained substantial popularity in the last decade, with most implementations relying on Markov chain Monte Carlo (MCMC). The computational demands of MCMC mean that remote servers are increasingly used. We present Beastiary, a package for real-time and remote inspection of log files generated by MCMC analyses. Beastiary is an easily deployed web-app that can be used to summarize and visualize the output of many popular software packages including BEAST, BEAST2, RevBayes, and MrBayes via a web browser. We describe the design and implementation of Beastiary and some typical use-cases, with a focus on real-time remote monitoring. |
format | Online Article Text |
id | pubmed-9156035 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2022 |
publisher | Oxford University Press |
record_format | MEDLINE/PubMed |
spelling | pubmed-91560352022-06-04 Real-Time and Remote MCMC Trace Inspection with Beastiary Wirth, Wytamma Duchene, Sebastian Mol Biol Evol Resources Bayesian phylogenetics has gained substantial popularity in the last decade, with most implementations relying on Markov chain Monte Carlo (MCMC). The computational demands of MCMC mean that remote servers are increasingly used. We present Beastiary, a package for real-time and remote inspection of log files generated by MCMC analyses. Beastiary is an easily deployed web-app that can be used to summarize and visualize the output of many popular software packages including BEAST, BEAST2, RevBayes, and MrBayes via a web browser. We describe the design and implementation of Beastiary and some typical use-cases, with a focus on real-time remote monitoring. Oxford University Press 2022-05-12 /pmc/articles/PMC9156035/ /pubmed/35552742 http://dx.doi.org/10.1093/molbev/msac095 Text en © The Author(s) 2022. Published by Oxford University Press on behalf of Society for Molecular Biology and Evolution. https://creativecommons.org/licenses/by/4.0/This is an Open Access article distributed under the terms of the Creative Commons Attribution License (https://creativecommons.org/licenses/by/4.0/), which permits unrestricted reuse, distribution, and reproduction in any medium, provided the original work is properly cited. |
spellingShingle | Resources Wirth, Wytamma Duchene, Sebastian Real-Time and Remote MCMC Trace Inspection with Beastiary |
title | Real-Time and Remote MCMC Trace Inspection with Beastiary |
title_full | Real-Time and Remote MCMC Trace Inspection with Beastiary |
title_fullStr | Real-Time and Remote MCMC Trace Inspection with Beastiary |
title_full_unstemmed | Real-Time and Remote MCMC Trace Inspection with Beastiary |
title_short | Real-Time and Remote MCMC Trace Inspection with Beastiary |
title_sort | real-time and remote mcmc trace inspection with beastiary |
topic | Resources |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9156035/ https://www.ncbi.nlm.nih.gov/pubmed/35552742 http://dx.doi.org/10.1093/molbev/msac095 |
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