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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

Turbo-Charging Development in R with ChatGPT

ChatGPT speeds up development in R for bioinformatics by providing rapid code generation, problem-solving guidance, package recommendations, code review and debugging, and documentation assistance. Developers can quickly generate R code snippets for common bioinformatics tasks, saving time in searching for examples. When facing challenges, they can describe the problem to ChatGPT and receive suggestions and insights. ChatGPT’s knowledge of bioinformatics packages enables it to recommend relevant tools for specific tasks. Developers can also receive code review and debugging assistance from it, helping catch errors early. ChatGPT can provide information and explanations about bioinformatics functions, algorithms, and data formats, facilitating better utilization of bioinformatics tools, and it can accelerate development by providing valuable support and guidance throughout the whole process. Despite the hype, ChatGPT still isn’...

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