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Data Integration, Manipulation and Visualization of Phylogenetic Trees

Guangchuang Yu
€107.99
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A01=Guangchuang Yu
Ape Package
Author_Guangchuang Yu
Beast
bioinformatics analysis
Bootstrap Values
Branch Lengths
Category=PSAJ
Circular Layout
comparative phylogenetic methods
computational biology
Data Frame
eq_bestseller
eq_isMigrated=1
eq_isMigrated=2
eq_nobargain
eq_non-fiction
eq_science
evolutionary genomics
Evolutionary Inference
evolutionary tree
Geometric Layers
ggplot2
Influenza Virus
Internal Nodes
Layout Tree
Microbiome Data
molecular systematics
MSA
Nexus File
OTUs
PAML
Phylogenetic Data
Phylogenetic Network
Phylogenetic Tree
R data visualization
R package
RAxML
Rectangular Layout
Software Outputs
statistical phylogenetics
Subset Tree
Tip Labels
tree data integration
Tree Visualization

Product details

  • ISBN 9781032233574
  • Weight: 1000g
  • Dimensions: 178 x 254mm
  • Publication Date: 26 Aug 2022
  • Publisher: Taylor & Francis Ltd
  • Publication City/Country: GB
  • Product Form: Hardback
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Description

Data Integration, Manipulation and Visualization of Phylogenetic Trees introduces and demonstrates data integration, manipulation and visualization of phylogenetic trees using a suite of R packages, tidytree, treeio, ggtree and ggtreeExtra. Using the most comprehensive packages for phylogenetic data integration and visualization, contains numerous examples that can be used for teaching and learning. Ideal for undergraduate readers and researchers with a working knowledge of R and ggplot2.

Key Features:

  • Manipulating phylogenetic tree with associated data using tidy verbs
  • Integrating phylogenetic data from diverse sources
  • Visualizing phylogenetic data using grammar of graphics
About Guangchuang Yu

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.

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