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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

Converting MS formats to move data between tools

It's an unavoidable fact of bioinformatics life that we spend a lot of time converting between file formats. In this brief recipe, we'll look at some convenient methods in R, that allows us to convert between MS data formats.

Getting ready

For this recipe, we require the mzR package and the threonine_i2_e35_pH_tree.mzXML file from the datasets/ch6 folder of this book's repository. Some of the dependencies rely on encapsulated Java code, so you'll need to install a Java Runtime Environment (JRE) for your system; refer to https://docs.oracle.com/goldengate/1212/gg-winux/GDRAD/java.htm for instructions. Install the JRE before the R packages.

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