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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

Simple ways to package code for sharing and reuse

Inevitably, there will come a time when you want to be able to reuse some functions or classes and not have to type (or—horror—copy and paste) them in every time. Having just one reliable version of things in one place makes it easy to manage and keep on top of mistakes and changes in code. So, in this recipe, we'll look at two simple ways of wrapping code up to reuse it. We'll touch on the very basics of package creation, though the packages we will make will be quite bare-bones and will need quite some fleshing out—especially with documentation and tests—before you consider releasing them. The packages you make in this way, though, will help you out as you develop your code.

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