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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

Creating dot plots for alignment visualization

Dot plots of pairs of aligned sequences are probably the oldest alignment visualization. In these plots, the positions of two sequences are plotted on the x axis and y axis, and for every coordinate in that space, a point is drawn if the letters (nucleotides or amino acids) correspond at that (x,y) coordinate. Since the plot can show regions that match that aren't generally in the same region of the two sequences, this is a good way to visually spot insertions and deletions and structural rearrangements in the two sequences. In this recipe, we'll look at a speedy method for constructing a dot plot using the dotplot package and a bit of code for getting a grid plot of all pairwise dot plots for sequences in a file.

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