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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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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

Technical requirements

The sample data you'll need is available from this book's GitHub repository at https://github.com/danmaclean/R_Bioinformatics_Cookbook. If you want to use the code examples as they are written, then you will need to make sure that this data is located in your working directory's subdirectory.

Here are the R packages that you'll need. In general, you can install these with install.packages("package_name"). The packages listed under Bioconductor need to be installed with the dedicated installer, as described here. If you need to do anything else, the installation will be described in the recipes in which the packages are used:

  • Bioconductor
    • EnsDb.Hsapiens.v86
    • MSnID
    • MSnbase
    • mzR
    • proteoQC
    • rtracklayer
  • data.table
  • dplyr
  • ggplot2
  • protViz

Bioconductor is huge and has its own installation manager. You can install the manager with...

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