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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

Identifying genomic loci that match peptides

Finding the exact places on a genome that a peptide matches to can be a challenging task, especially if the genome is one that is not represented by the original search file. In this recipe, we'll look at mixing in a classic command-line BLAST recipe to find short, nearly precise matches for peptides on a translated genome sequence to various R genomics pipelines by targeting a GRanges object of the BLAST hits.

Getting ready

For this recipe, we'll use the MSnID, dplyr, withR, GenomicRanges, and Biostrings packages and a search engine output file of Escherichia coli-derived spectra, which can be found in the PXD006247.mzXML.mzid file in this book's datasets/ch6 folder...

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