RevGadgets
RevGadgets visualizes RevBayes outputs in R to generate publication-quality figures that summarize Bayesian phylogenetic analyses.
Key Features:
- Integration with RevBayes: Imports RevBayes analysis outputs into R for downstream processing and visualization.
- Data processing pipelines: Provides functions to import, process, and prepare RevBayes outputs for plotting.
- Paired processing and plotting functions: Uses paired processing and plotting routines that align with standard phylogenetic analysis workflows.
- Publication-quality plotting: Includes plotting functions tailored to produce publication-quality figures of phylogenetic results.
- Comprehensive analysis support: Supports visualization of tree building, divergence-time estimation, diversification-rate estimation, ancestral-state reconstruction, biogeographic range reconstruction, and posterior predictive simulations.
Scientific Applications:
- Evolutionary studies: Visualizes phylogenetic trees, divergence times, ancestral states, diversification rates, and biogeographic reconstructions from RevBayes analyses.
- Epidemiological studies: Enables visualization of phylogenetic outputs relevant to epidemiology, including divergence-time estimates and posterior predictive simulations.
- Model validation and hypothesis testing: Supports visualization of posterior predictive simulations and summary plots to assess model fit and compare hypotheses.
Methodology:
Imports RevBayes outputs into R and applies paired processing and plotting functions to produce figures for tree visualization, divergence-time estimation, diversification-rate estimation, ancestral-state reconstruction, biogeographic range reconstruction, and posterior predictive simulations.
Topics
Details
- Tool Type:
- library
- Programming Languages:
- R
- Added:
- 11/29/2021
- Last Updated:
- 11/29/2021
Operations
Publications
Tribble CM, Freyman WA, Landis MJ, Lim JY, Barido-Sottani J, Kopperud BT, Höhna S, May MR. RevGadgets: an R Package for visualizing Bayesian phylogenetic analyses from RevBayes. Unknown Journal. 2021. doi:10.1101/2021.05.10.443470.
Links
Issue tracker
https://github.com/revbayes/RevGadgets/issues