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R Bioinformatics Cookbook

You're reading from   R Bioinformatics Cookbook Use R and Bioconductor to perform RNAseq, genomics, data visualization, and bioinformatic analysis

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Product type Paperback
Published in Oct 2019
Publisher Packt
ISBN-13 9781789950694
Length 316 pages
Edition 1st Edition
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Authors (2):
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Dr Dan Maclean Dr Dan Maclean
Author Profile Icon Dr Dan Maclean
Dr Dan Maclean
Dan MacLean Dan MacLean
Author Profile Icon Dan MacLean
Dan MacLean
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Toc

Table of Contents (13) Chapters Close

Preface 1. Performing Quantitative RNAseq 2. Finding Genetic Variants with HTS Data FREE CHAPTER 3. Searching Genes and Proteins for Domains and Motifs 4. Phylogenetic Analysis and Visualization 5. Metagenomics 6. Proteomics from Spectrum to Annotation 7. Producing Publication and Web-Ready Visualizations 8. Working with Databases and Remote Data Sources 9. Useful Statistical and Machine Learning Methods 10. Programming with Tidyverse and Bioconductor 11. Building Objects and Packages for Code Reuse 12. Other Books You May Enjoy

Plotting features on genetic maps with karyoploteR

One of the most rewarding and insightful things we can do is visualize data. Very often, we want to see on a chromosome or genetic map where some features of interest lie in relation to others. These are sometimes called chromosome plots, and sometimes ideograms, and in this section, we'll see how to create one of these using the karyoploteR package. The package takes as input the familiar GRanges objects and creates detailed plots from configuration. We'll take a quick look at some different plot styles and some configuration options for ironing out the bumps in your plots when labels spill off the page or overlap each other.

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You have been reading a chapter from
R Bioinformatics Cookbook
Published in: Oct 2019
Publisher: Packt
ISBN-13: 9781789950694
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