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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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Extracting and working with subtrees using ape

A common but often frustrating task is cropping trees to look at a section in a new, clearer context or combining them with another tree in order to present two distant clades more clearly. In this short recipe, we’ll look at how easy it can be to manipulate trees- specifically, how to pull out a subtree as a new object and how to combine trees into other trees. We’ll use the ape package, the phylogenetic workhorse in R that will give us functionality for completing those tasks easily.

Getting ready

We’ll need a single example tree – the mammal_tree.nwk file in the rbioinfcookbook package will be fine. All the functions we require can be found in the ape package.

How to do it…

Extracting and working with subtrees in ape can be executed using the following steps:

  1. Load the library and tree:
    library(ape)tree_file <- fs::path_package(  "extdata",  "...
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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