The book gives comprehensive overviews of phylogenetic tree data integration, manipulation and visualization using a suite of R packages, tidytree, treeio, ggtree and ggtreeExtra. The book is available at https://yulab-smu.top/treedata-book/.

If you use the software suite in published research, please cite the most appropriate paper(s) from this list:

1. G Yu. Using ggtree to visualize data on tree-like structures. Current Protocols in Bioinformatics, 2020, 69:e96. doi: 10.1002/cpbi.96.
2. LG Wang, TTY Lam, S Xu, Z Dai, L Zhou, T Feng, P Guo, CW Dunn, BR Jones, T Bradley, H Zhu, Y Guan, Y Jiang, G Yu^*. treeio: an R package for phylogenetic tree input and output with richly annotated and associated data. Molecular Biology and Evolution. 2020, 37(2):599-603. doi: 10.1093/molbev/msz240.
3. G Yu^*, TTY Lam, H Zhu, Y Guan^*. Two methods for mapping and visualizing associated data on phylogeny using ggtree. Molecular Biology and Evolution. 2018, 35(2):3041-3043. doi: 10.1093/molbev/msy194.
4. G Yu, DK Smith, H Zhu, Y Guan, TTY Lam^*. ggtree: an R package for visualization and annotation of phylogenetic trees with their covariates and other associated data. Methods in Ecology and Evolution. 2017, 8(1):28-36. doi: 10.1111/2041-210X.12628.