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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

Aligning genomic length sequences with DECIPHER

Aligning sequences longer than genes and proteins, such as contigs from assembly projects, chromosomes, or whole genomes is a tricky task. For such tasks, we need different techniques than those for short sequences. The longer sequences get, the harder they are to align. Long alignments are especially costly in terms of the computational time taken. The algorithms that are effective on short sequences take up exponentially more time with increasing sequence length. Performing longer alignments generally starts with finding short anchor alignments and working the long alignment out from there. We typically end up with blocks of synteny regions that match well between the different sequences.

In this recipe, we’ll look at the DECIPHER package for genome length alignments. We’ll use some chloroplast genomes – small organelle genomes of about 150 Kbp that are pretty well conserved as our sequences of interest.

Getting...

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