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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

Matching spectra to peptides for verification with protViz

Although most spectra/peptide matching is done in high throughput search engines, there are times when you'd like to check the quality of competing ambiguous matches against one another, or against a completely arbitrary sequence of interest. Running the whole search engine pipeline is probably overkill, so, in this recipe, we'll look at a convenient method to run a single spectrum against a single peptide sequence and get a plot of congruence between theoretical ion sizes and those present in the spectrum.

Getting ready

For this recipe, all we need is the protViz package, the mzR package, and the MM8.mzml file from the datasets/ch6 folder of this book&apos...

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