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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 figures of protein domains using drawProteins

Protein visualization is a powerful tool in bioinformatics that allows researchers to explore the structure and function of proteins. Visualizing proteins in two dimensions can help researchers understand and compare the domain structures of different proteins, which can reveal similarities and differences that may be important for understanding their function. This can be particularly useful in the study of evolutionary relationships between proteins.

In this recipe, we’ll look at a package called drawProteins that can create two-dimensional renders of proteins and their domains. The package seems to have been designed to work best with Uniprot data as input, but we’ll look at setting up data so that you can use protein and domain information from any source.

Getting ready

To complete this recipe, you will need the drawProteins Bioconductor package. We’ll generate the sample data in the code as understanding...

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