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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

Finding DNA motifs with universalmotif

A very common task when working with DNA sequences is finding instances of motifs – a short-defined sequence – within a longer sequence. These could represent protein-DNA binding sites such as transcription factor binding sites in a gene promoter or enhancer region. There are two starting points for this analysis – you either have a database of motifs that you want to use to scan target DNA sequences and extract wherever the motif occurs or you have just the sequences of interest and you want to find out whether there are any repeating motifs in there. We’ll look at ways of doing both of these things in this recipe.

Getting ready

For this recipe, we need a matrix describing the motif (a position-specific weight matrix or PWSM) and a set of sequences from upstream of transcriptional start sites. These are provided in the rbioinfcookbok package. We’ll use the universalmotif package to work with motifs and...

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