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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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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

Writing documentation for R functions with ChatGPT

ChatGPT is valuable for generating R documentation because it has been trained on a wide range of text sources, including programming documentation. It can understand user queries related to R functions, packages, and concepts, and generate informative and accurate documentation snippets. With its language understanding capabilities, ChatGPT can provide descriptions, parameter details, usage examples, and even explanations of complex concepts in R. This assists developers in quickly accessing relevant information, clarifying doubts, and understanding the functionality of R functions or packages. ChatGPT serves as a handy tool for enhancing the accessibility and comprehensibility of R documentation, supporting users in their programming and analysis tasks.

In this recipe, we’ll use ChatGPT to help us with the normally very tedious task of generating documentation and examples for our own function.

Getting ready

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