Real-Time and Remote MCMC Trace Inspection with Beastiary. (12th May 2022)

• Record Type: Journal Article
• Authors: Wirth, Wytamma; Duchene, Sebastian
• Editors: Falush, Daniel
• Is Part Of: Molecular biology and evolution. Volume 39:Number 5(2022)
• Publication Date: 2022-05-12
• Subjects: Markov chain Monte Carlo -- Bayesian phylogenetics -- high performance computing -- real-time phylogenetics; Molecular biology -- Periodicals; Molecular evolution -- Periodicals; Evolution, Molecular -- Periodicals; Molecular Biology -- Periodicals; 572.8
• DOI: 10.1093/molbev/msac095
• Languages: English
• ISSNs: 0737-4038

Abstract

Abstract: 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.