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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

Viewing proteomics data in a genome browser

Once we have mass spectrometer data and have identified the peptides and proteins the spectra describe using search engine software such as Xtandem, MSGF+, or Mascot, we may want to look at those in their genomic context alongside other important data. In this recipe, we'll look at how to extract peptides and the Uniprot IDs from a search file, find the genes those Uniprot IDs map to, and then create a genome browser track showing those genes. These can be sent to the UCSC human genome browser, and the interactive web page, which will be loaded in your local browser automatically.

Getting ready

For this recipe, you'll need the Bioconductor packages MSnID, EnsDB.Hsapiens...

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