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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 InterPro domains

InterPro is a database of predictive models, or signatures, provided by multiple protein databases. InterPro aggregates information from multiple sources to reduce redundancy in annotations and aid with interoperability. In this recipe, we’ll extend the approach we used for PFAM domains in the previous recipe and look at getting annotations of InterPro domains on sequences of interest. We’ll start this recipe with something similar for Ensembl core databases.

Getting ready

We’ll need the ensembldb, EnsDb.Rnorvegicus.v79, and biomaRt packages from Bioconductor.

How to do it…

Finding InterPro domains can be done by performing the following steps:

  1. Load the necessary libraries and check for protein data in the database:
    library(ensembldb)library(EnsDb.Rnorvegicus.v79)hasProteinData(EnsDb.Rnorvegicus.v79)
  2. Build a list of genes to query with:
    listTables(EnsDb.Rnorvegicus.v79) e <- EnsDb.Rnorvegicus.v79k <- head...
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