Using ggtree to Visualize Data on Tree‐Like Structures
Abstract
Ggtree is an R/Bioconductor package for visualizing tree‐like structures and associated data. After 5 years of continual development, ggtree has been evolved as a package suite that contains treeio for tree data input and output, tidytree for tree data manipulation, and ggtree for tree data visualization. Ggtree was originally designed to work with phylogenetic trees, and has been expanded to support other tree‐like structures, which extends the application of ggtree to present tree data in other disciplines. This article contains five basic protocols describing how to visualize trees using the grammar of graphics syntax, how to visualize hierarchical clustering results with associated data, how to estimate bootstrap values and visualize the values on the tree, how to estimate continuous and discrete ancestral traits and visualize ancestral states on the tree, and how to visualize a multiple sequence alignment with a phylogenetic tree. The ggtree package is freely available at https://www.bioconductor.org/packages/ggtree. © 2020 by John Wiley & Sons, Inc.
Basic Protocol 1: Using grammar of graphics for visualizing trees
Basic Protocol 2: Visualizing hierarchical clustering using ggtree
Basic Protocol 3: Visualizing bootstrap values as symbolic points
Basic Protocol 4: Visualizing ancestral status
Basic Protocol 5: Visualizing a multiple sequence alignment with a phylogenetic tree
Citing Literature
Number of times cited according to CrossRef: 3
- Leandro R. Jones, Julieta M. Manrique, Quantitative phylogenomic evidence reveals a spatially structured SARS-CoV-2 diversity, Virology, 10.1016/j.virol.2020.08.010, (2020).
- Xiaoting Hua, Linyue Zhang, Jintao He, Sebastian Leptihn, Yunsong Yu, Population Biology and Epidemiological Studies of Acinetobacter baumannii in the Era of Whole Genome Sequencing: Is the Oxford Scheme Still Appropriate?, Frontiers in Microbiology, 10.3389/fmicb.2020.00775, 11, (2020).
- Sureshnee Pillay, Jennifer Giandhari, Houriiyah Tegally, Eduan Wilkinson, Benjamin Chimukangara, Richard Lessells, Yunus Moosa, Stacey Mattison, Inbal Gazy, Maryam Fish, Lavanya Singh, Khulekani Sedwell Khanyile, James Emmanuel San, Vagner Fonseca, Marta Giovanetti, Luiz Carlos Alcantara, Tulio de Oliveira, Whole Genome Sequencing of SARS-CoV-2: Adapting Illumina Protocols for Quick and Accurate Outbreak Investigation during a Pandemic, Genes, 10.3390/genes11080949, 11, 8, (949), (2020).




