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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 allele-specific expression with AllelicImbalance

Allele-specific expression (ASE) refers to the differential expression of alleles (different versions of a gene) in a diploid organism. It occurs when one allele is expressed more or less than the other allele, resulting in an imbalance of expression. ASE can occur in both coding and non-coding regions of the genome and can have a significant impact on the phenotype of an organism. Analyzing ASE can help with identifying genetic variations that contribute to the development of diseases such as cancer and inherited disorders.

The R Bioconductor AllelicImbalance package can be used to analyze ASE data. This package provides a set of tools for identifying, quantifying, and visualizing ASE in high-throughput sequencing data. The package can be used to quantify ASE at both the gene and transcript level and to identify differentially expressed alleles. Additionally, AllelicImbalance can help identify the genomic regions that are...

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