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R Bioinformatics Cookbook - Second Edition

You're reading from  R Bioinformatics Cookbook - Second Edition

Product type Book
Published in Oct 2023
Publisher Packt
ISBN-13 9781837634279
Pages 396 pages
Edition 2nd Edition
Languages
Author (1):
Dan MacLean Dan MacLean
Profile icon Dan MacLean
Toc

Table of Contents (16) Chapters close

Preface 1. Chapter 1: Setting Up Your R Bioinformatics Working Environment 2. Chapter 2: Loading, Tidying, and Cleaning Data in the tidyverse 3. Chapter 3: ggplot2 and Extensions for Publication Quality Plots 4. Chapter 4: Using Quarto to Make Data-Rich Reports, Presentations, and Websites 5. Chapter 5: Easily Performing Statistical Tests Using Linear Models 6. Chapter 6: Performing Quantitative RNA-seq 7. Chapter 7: Finding Genetic Variants with HTS Data 8. Chapter 8: Searching Gene and Protein Sequences for Domains and Motifs 9. Chapter 9: Phylogenetic Analysis and Visualization 10. Chapter 10: Analyzing Gene Annotations 11. Chapter 11: Machine Learning with mlr3 12. Chapter 12: Functional Programming with purrr and base R 13. Chapter 13: Turbo-Charging Development in R with ChatGPT 14. Index 15. Other Books You May Enjoy

Using Markdown and Quarto for literate computation

A very common task in bioinformatics is writing up our results in order to communicate them to colleagues or 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 when someone else needs to replicate the process. One very popular way to solve 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 R Markdown extension of the Markdown syntax and the Quarto command-line tool (and R package) allow 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 a typical document that can be rendered into multiple formats with Quarto.

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