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R Bioinformatics Cookbook

You're reading from   R Bioinformatics Cookbook Use R and Bioconductor to perform RNAseq, genomics, data visualization, and bioinformatic analysis

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Product type Paperback
Published in Oct 2019
Publisher Packt
ISBN-13 9781789950694
Length 316 pages
Edition 1st Edition
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Authors (2):
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Dr Dan Maclean Dr Dan Maclean
Author Profile Icon Dr Dan Maclean
Dr Dan Maclean
Dan MacLean Dan MacLean
Author Profile Icon Dan MacLean
Dan MacLean
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Toc

Table of Contents (13) Chapters Close

Preface 1. Performing Quantitative RNAseq 2. Finding Genetic Variants with HTS Data FREE CHAPTER 3. Searching Genes and Proteins for Domains and Motifs 4. Phylogenetic Analysis and Visualization 5. Metagenomics 6. Proteomics from Spectrum to Annotation 7. Producing Publication and Web-Ready Visualizations 8. Working with Databases and Remote Data Sources 9. Useful Statistical and Machine Learning Methods 10. Programming with Tidyverse and Bioconductor 11. Building Objects and Packages for Code Reuse 12. Other Books You May Enjoy

Estimating the copy number at a locus of interest

It is often of interest to know how often a sequence occurs in a sample of interest—that is, to estimate whether, in your particular sample, a locus has been duplicated or its copy number has increased. The locus could be anything from a gene at Kbp scale or a large section of DNA at Mbp scale. Our approach in this recipe will be to use HTS read coverage after alignment to estimate a background level of coverage and then inspect the coverage of our region of interest. The ratio of the coverage in our region of interest to the background level will give us an estimate of the copy number in the region. The recipe here is the first step. The background model we use is very simple—we calculate only a global mean, but we'll discuss some alternatives later. Also, this recipe does not cover ploidy—the number...

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R Bioinformatics Cookbook
Published in: Oct 2019
Publisher: Packt
ISBN-13: 9781789950694
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