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R Bioinformatics Cookbook

You're reading from   R Bioinformatics Cookbook Utilize R packages for bioinformatics, genomics, data science, and machine learning

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Product type Paperback
Published in Oct 2023
Publisher Packt
ISBN-13 9781837634279
Length 396 pages
Edition 2nd Edition
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Author (1):
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Dan MacLean Dan MacLean
Author Profile Icon Dan MacLean
Dan MacLean
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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 FREE CHAPTER 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

Interpreting complicated code with ChatGPT assistance

ChatGPT can be used to interpret R code by leveraging its natural language processing capabilities and its understanding of the R programming language. It’s important to note that while ChatGPT can assist in interpreting and explaining R code, it’s still just an AI language model and may not have knowledge of the most recent updates or specific domain-specific intricacies. Double-checking information with official documentation and consulting experienced developers or experts is always necessary. It is massively useful for simplifying and getting a good first-level understanding in most cases.

In this recipe, we’ll look at how to take an arbitrary bit of complex code and explain it in plain English.

Getting ready

We need some code to interpret – we’ll use a function from the besthr Github hosted package at https://github.com/TeamMacLean/besthr/blob/master/R/functions.R and an account with...

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