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R Bioinformatics Cookbook - Second Edition

You're reading from  R Bioinformatics Cookbook - Second Edition

Product type Book
Published in Oct 2023
Publisher Packt
ISBN-13 9781837634279
Pages 396 pages
Edition 2nd Edition
Languages
Author (1):
Dan MacLean Dan MacLean
Profile icon Dan MacLean

Table of Contents (16) Chapters

Preface 1. Chapter 1: Setting Up Your R Bioinformatics Working Environment 2. Chapter 2: Loading, Tidying, and Cleaning Data in the tidyverse 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 phenotype and genotype associations with GWAS

A powerful application of a variant calling many thousands of SNPs with high-throughput sequencing is genome-wide association studies (GWAS) of genotype and phenotype. GWAS is a genomic analysis of variants in different individuals or genetic lines to see whether any particular variant is associated with a trait. There are numerous techniques for doing this, but all of them rely on gathering data on variants in particular samples and working out each sample’s genotype before cross-referencing with the phenotype in some way. In this recipe, we’ll look at the sophisticated mixed linear model described by Yu et al. in 2006 (Nature Genetics, 38:203-208 ). Describing the workings of the unified mixed linear model is beyond the scope of this recipe, but it is a suitable model for use in data with large samples and broad allelic diversity and can be used on plant and animal data.

Getting ready

In this recipe, we’...

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