Reader small image

You're reading from  R Bioinformatics Cookbook - Second Edition

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

Right arrow

Zooming and making callouts from selected plot sections with facetzoom

We’ve already seen in these recipes how bioinformatics datasets can encompass very large scales. Genomes can be thousands of millions of bases long and contain tens of thousands of genes, taxa can have thousands of members, and biomes can have billions of individuals living in areas of a wide range of sizes. Contextual information is therefore often important in analysis and visualization; we may want to see a detail of some subset of data in its original broader context. We can do that by using plots with callout-style subplots—zoomed-in areas drawn alongside the wider data. In this recipe, we will look at using the facet zoom functionality in the ggforce package to look at an area of interest in a ggplot.

Getting ready

We’ll use the ggplot2, ggforce, palmerpenguins, and rbioinfcookbook packages for the main part of this recipe. The allele_freq and penguins datasets will be the basis...

lock icon
The rest of the page is locked
Previous PageNext Chapter
You have been reading a chapter from
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