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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

Predicting open reading frames in long reference sequences

A draft genome assembly of a previously unsequenced genome can be a rich source of biological knowledge, but when genomics resources such as gene annotations aren’t available, it can be tricky to proceed. In this recipe, we’ll look at a first-stage pipeline for finding potential genes and genomic loci of interest absolutely de novo and without information beyond the sequence. We’ll use a very simple set of rules to find open reading frames (ORFs) – sequences that begin with a start codon and end with a stop codon. The tools for doing this are encapsulated within a single function in the systemPipeR Bioconductor package. We’ll end up with yet another GRanges object that we can integrate into processes downstream that allow us to cross-reference other data, such as RNA-Seq. As a final step, we’ll look at how we can use a genome simulation to assess which of the open reading frames are...

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