Data Integration, Manipulation and Visualization of Phylogenetic Trees

This book introduces and demonstrates data integration, manipulation and visualization of phylogenetic trees using a suite of R packages, tidytree, treeio, ggtree and ggtreeExtra.

Sommario

1. Importing Tree with Data, 2. Manipulating Tree with Data, 3. Exporting tree with data, 4. Phylogenetic Tree Visualization, 5. Phylogenetic Tree Annotation, 6. Visual Exploration of Phylogenetic Tree, 7. Plotting tree with data, 8. Annotating Tree with Silhouette Images and Sub-plots, 9. ggtree for other tree-like objects, 10. ggtreeExtra for presenting data on a circular layout, 11. Other ggtree extensions, 12. ggtree utilities, A. Frequently asked questions, B. Related tools, Figures and Tables Publications of the ggtree package suite, References, Index

Info autore

Guangchuang Yu is a professor of bioinformatics, director of the Department of Bioinformatics, Southern Medical University. He earned his Ph.D. from the School of Public Health, The University of Hong Kong. As an active R user, he has authored several R packages and has supervised post-graduate students to develop a few other packages, including ggmsa, ggtreeExtra, MicrobiomeProfiler and MicrobiotaProcess.

Riassunto

This book introduces and demonstrates data integration, manipulation and visualization of phylogenetic trees using a suite of R packages, tidytree, treeio, ggtree and ggtreeExtra.

Dettagli sul prodotto

• Autori: Guangchuang Yu
• Editore: Taylor & Francis Ltd.
• Lingue: Inglese
• Formato: Tascabile
• Pubblicazione: 26.08.2024
• EAN: 9781032245546
• ISBN: 978-1-0-3224554-6
• Pagine: 255
• Serie: Chapman & Hall/CRC Computational Biology Series
• Categorie: Scienze naturali, medicina, informatica, tecnica > Medicina > Branche cliniche; Scienze sociali, diritto, economia > Economia > Altro; Medical research, Epidemiology & medical statistics, Evolution, SCIENCE / Life Sciences / Evolution, MATHEMATICS / Probability & Statistics / General, MATHEMATICS / Applied, MEDICAL / Biostatistics, MEDICAL / Research, MEDICAL / Epidemiology, BUSINESS & ECONOMICS / Econometrics, Economic statistics, Probability & statistics, Applied mathematics, Econometrics, Probability and statistics, Epidemiology and Medical statistics, Econometrics and economic statistics, Evolution / Evolutionary biology, evolutionary tree;R package;ggplot2;computational biology