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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

Building a unit test suite to ensure that functions work as you intend

Most programmers test code obsessively and the practice of unit testing has arisen so that we have a formal way of testing functions that can be automated and help to reduce the time it takes to build even moderately complex code projects. A well-engineered and maintained software package has a unit test suite for as many of its component functions as it is possible to do. In this recipe, we'll look at how to use the usethis package to add the component files and folders for an automated test suite that uses the testthat package. It's beyond the scope of this book to look at the philosophy of why and how to write tests in any detail, but you can check out the testthat package documentation here, https://testthat.r-lib.org/, for a nice primer.

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