Citation

If you use Beastiary in your research please cite our paper Wirth & Duchene 2022.

Wytamma Wirth, Sebastian Duchene, Real-Time and Remote MCMC Trace Inspection with Beastiary, Molecular Biology and Evolution, Volume 39, Issue 5, May 2022, msac095, https://doi.org/10.1093/molbev/msac095

Bibtex

@article{10.1093/molbev/msac095,
    author = {Wirth, Wytamma and Duchene, Sebastian},
    title = "{Real-Time and Remote MCMC Trace Inspection with Beastiary}",
    journal = {Molecular Biology and Evolution},
    volume = {39},
    number = {5},
    year = {2022},
    month = {05},
    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.}",
    issn = {1537-1719},
    doi = {10.1093/molbev/msac095},
    url = {https://doi.org/10.1093/molbev/msac095},
    note = {msac095},
    eprint = {https://academic.oup.com/mbe/article-pdf/39/5/msac095/43913150/msac095.pdf},
}

RIS

Provider: Silverchair
Database: Oxford University Press
Content: text/plain; charset="UTF-8"

TY  - JOUR
AU  - Wirth, Wytamma
AU  - Duchene, Sebastian
T1  - Real-Time and Remote MCMC Trace Inspection with Beastiary
PY  - 2022
Y1  - 2022/05/01
DO  - 10.1093/molbev/msac095
JO  - Molecular Biology and Evolution
JA  - Mol Biol Evol
VL  - 39
IS  - 5
SP  - msac095
SN  - 1537-1719
AB  - 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.
Y2  - 7/27/2022
UR  - https://doi.org/10.1093/molbev/msac095
ER  - 

Endnote

%0 Journal Article
%A Wirth, Wytamma
%A Duchene, Sebastian
%T Real-Time and Remote MCMC Trace Inspection with Beastiary
%B Molecular Biology and Evolution
%D 2022
%R 10.1093/molbev/msac095
%1 msac095
%J Molecular Biology and Evolution
%V 39
%N 5
%@ 1537-1719
%X 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.
%[ 7/27/2022
%U https://doi.org/10.1093/molbev/msac095