ArticleMolecular biology and evolution2022
Real-Time and Remote MCMC Trace Inspection with Beastiary.
Article in Molecular biology and evolution, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 8 papers.
What it found
Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.
The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.
The trial behind it
Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.
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Who cites it
8 citing papers in PubMed.
- Multicountry genomic analysis underscores regional cholera spread in Africa.Nature communications · 2026Article
- The EpiFusion Analysis Framework for joint phylodynamic and epidemiological analysis of outbreak characteristics.F1000Research · 2025Article
- Genetic heterogeneity in theMicrobial genomics · 2024Article
- On the importance of assessing topological convergence in Bayesian phylogenetic inference.ArXiv · 2024Article
- Molecular epidemiology of the HIV-1 epidemic in Fiji.Npj viruses · 2024Article
- On the importance of assessing topological convergence in Bayesian phylogenetic inference.Virus evolution · 2024Article
- Article
- Detecting Episodic Evolution through Bayesian Inference of Molecular Clock Models.Molecular biology and evolution · 2023Article
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
2 authors.
Funding
No grant is acknowledged in the PubMed record.
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.
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What OpenQuestion holds
Registered trials
Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.