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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 FREE CHAPTER 2. Finding Genetic Variants with HTS Data 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

Proteomics from Spectrum to Annotation

Mass spectrometry (MS) data usually comprises spectra that must be bioinformatically processed to identify candidate peptides. These peptides include assignments, and counts can then be analyzed using a wide range of techniques and packages. The wide range of graphical user interface-driven tools for proteomics means that there is a proliferation of file formats that can be tough to deal with initially. These recipes will explore how to take advantage of the excellent parsers and reformatters available in the new RforProteomics project and associated tools for analysis and verification of spectra, and even show you how to view your peptides in genome browsers alongside other genomic information such as gene models.

In this chapter, we will cover the following recipes:

  • Representing raw MS data visually
  • Viewing proteomics data in a genome...
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