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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

Representing raw MS data visually

The raw data of proteomics analysis is the spectra that's generated by the mass spectrometers. Each type of mass spectrometer has a different native file format in which the spectra are encoded. Examining and analyzing the spectra begins with loading in the files and coercing them into a common object type. In this recipe, we'll look at how to load the varied file types, look at the metadata, and plot the spectra themselves.

Getting ready

For this recipe, we'll need the Bioconductor package, mzR, and some files from this book's data repository, in the datasets/ch6 folder. We'll use three different files, selected not so much for the data in them, but because they each...

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