Open AccessReal-Time and Remote MCMC Trace Inspection with Beastiary
Author(s) -
Wytamma Wirth,
Sebastián Duchêne
Publication year - 2022
Publication title -
molecular biology and evolution
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 6.637
H-Index - 218
eISSN - 1537-1719
pISSN - 0737-4038
DOI - 10.1093/molbev/msac095
Subject(s) - markov chain monte carlo , software , bayesian probability , computer science , trace (psycholinguistics) , web server , focus (optics) , popularity , web application , software implementation , server , real time computing , artificial intelligence , the internet , operating system , psychology , social psychology , linguistics , philosophy , physics , optics
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.