ArticleApplications in plant sciences
tanggle: An R package for the visualization of phylogenetic networks.
Article in Applications in plant sciences. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 3 papers.
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Who cites it
3 citing papers in PubMed.
- PhyloZoo: a unified framework for phylogenetic network analysis in Python.Bioinformatics (Oxford, England) · 2026Article
- Tangled Evolutionary History: Genetically Divergent Taxa and Hybrids Characterise Lantana Invasions in Australia.Evolutionary applications · 2026Article
- tanggle: An R package for the visualization of phylogenetic networks.Applications in plant sciencesArticle
Corrections and comments
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Authors and funding
7 authors.
Funding
No grant is acknowledged in the PubMed record.
Abstract
Premise: Phylogenetic trees depict evolutionary relationships among taxa. However, they are strictly bifurcating structures that do not take into account several types of evolutionary events such as horizontal gene transfer, hybridization, or introgression. Although the development of new methods in phylogenetic networks has recently increased, limited visualization software is available to plot the phylogenetic networks. Methods and results: Here, we present the R package tanggle, a visualization package for phylogenetic networks. Our package extends the widely used visualization package ggtree and allows a variety of input data from DNA sequences to extended Newick format; it also builds on the flexibility of ggplot2 to manipulate colors and other plot characteristics. In addition, our package allows for the inclusion of images and mapped morphological and geographical characteristics on the network. Conclusions: In response to growing demands for reproducible, open-source research, tanggle facilitates the production of script-based, publication-quality figures rather than graphics manually created with design software. By embedding figure code and metadata directly within analysis pipelines, tanggle improves transparency, traceability, and version control; enables automated regeneration of figures as data or methods change; and simplifies sharing and reuse of visualizations.
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Registered trials
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