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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

Creating data-rich presentations from code

Presenting data to audiences of other scientists is a key task; it is vital for us to be able to understand and discuss our results and methods. Creating slides that assist our presentations is usually a manual task that requires the insertion of figures and methods into documents and is one that can consume a lot of a researcher’s time. Various presentation formats exist. Microsoft Office PowerPoint is one of the most commonly used presentation tools. It is a user-friendly GUI program and provides a wide variety of templates, animations, transitions, and multimedia features. However, it requires a lot of manual editing. Conversely, Beamer is a LaTeX-based presentation system used for academic and scientific presentations. It’s a powerful tool and especially useful for presentations that include mathematical equations, formulas, and algorithms. However, Beamer requires some knowledge of LaTeX, which can make it less accessible...

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