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You're reading from  R Bioinformatics Cookbook - Second Edition

Product typeBook
Published inOct 2023
PublisherPackt
ISBN-139781837634279
Edition2nd Edition
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Author (1)
Dan MacLean
Dan MacLean
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Dan MacLean

Professor Dan MacLean has a PhD in molecular biology from the University of Cambridge and gained postdoctoral experience in genomics and bioinformatics at Stanford University in California. Dan is now an honorary professor at the School of Computing Sciences at the University of East Anglia. He has worked in bioinformatics and plant pathogenomics, specializing in R and Bioconductor, and has developed analytical workflows in bioinformatics, genomics, genetics, image analysis, and proteomics at the Sainsbury Laboratory since 2006. Dan has developed and published software packages in R, Ruby, and Python, with over 100,000 downloads combined.
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Visualizing trees of many genes quickly with ggtree

Once you have computed a tree, the first thing you will want to do with it is take a look. That’s possible in many programs, but R has an extremely powerful, flexible, and fast system in the form of the ggtree package. In this recipe, we’ll learn how to get into ggtree and re-layout, highlight, and annotate tree images in just a few commands.

Getting ready

You’ll need the ggplot2, ggtree, and ape packages. You’ll also require the itol.nwk file from the rbioinfcookbook package. The file is a Newick tree of 191 species from the Interactive Tree of Life online tool’s public dataset. At the time of writing, there is an issue with an upstream dependency that causes this code to fail, though it is correct. We hope this will have gone away by the time you read this. If it hasn’t, a workaround is to install the source version of ggtree from Biocmanager, like this:

BiocManager::install("...
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R Bioinformatics Cookbook - Second Edition
Published in: Oct 2023Publisher: PacktISBN-13: 9781837634279

Author (1)

author image
Dan MacLean

Professor Dan MacLean has a PhD in molecular biology from the University of Cambridge and gained postdoctoral experience in genomics and bioinformatics at Stanford University in California. Dan is now an honorary professor at the School of Computing Sciences at the University of East Anglia. He has worked in bioinformatics and plant pathogenomics, specializing in R and Bioconductor, and has developed analytical workflows in bioinformatics, genomics, genetics, image analysis, and proteomics at the Sainsbury Laboratory since 2006. Dan has developed and published software packages in R, Ruby, and Python, with over 100,000 downloads combined.
Read more about Dan MacLean