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...

Descripción completa

Detalles Bibliográficos
Autores principales: Wirth, Wytamma, Duchene, Sebastian
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Oxford University Press 2022
Materias:
Resources
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
Descripción
Sumario: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.

Ejemplares similares