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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

Index

As this ebook edition doesn't have fixed pagination, the page numbers below are hyperlinked for reference only, based on the printed edition of this book.

Symbols

3D structure protein alignment

predicting, in bio3d 231-233

A

AllelicImbalance

used, for finding allele-specific expression (ASE) 166-169

analysis of variance (ANOVA) 97

using, to compare multiple groups in multiple variable 111-114

using, to compare multiple groups in single variable 108-110

AnnoDB packages

using, for genome annotation 272-274

ape package 238

tree formats, reading and writing 239, 240

used, for extracting and working with subtrees 249-251

apply() functions

using 327-329

arbitrary functions

applying, using mutate() function 36-38

autoplot() function 294

B

base R objects

making tidy 322, 323

basic helix-loop-helix (bHLH) 252

batch effects

estimating, with SVA 164-166

bio3d

3D structure protein alignment...

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