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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

Developing reusable workflows and reports

A very common task in bioinformatics is writing up our results in order to communicate them to a colleague or just to have a good record in our laboratory books (electronic or otherwise). A key skill is to make the work as reproducible as possible so that we can rerun it ourselves when we need to revisit it or someone else interested in what we did can replicate the process. One increasingly popular solution to this problem is to use literate programming techniques and executable notebooks that are a mixture of human-readable text, analytical code, and computational output rolled into a single document. In R, the rmarkdown package allows us to combine code and text in this way and create output documents in a variety of formats.

In this recipe, we'll look at the large-scale structure of one such document that can be compiled with...

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