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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 FREE CHAPTER 2. Finding Genetic Variants with HTS Data 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

Performing multiple alignments of genes or proteins

The alignment of sequences as a task prior to building phylogenetic trees or as an end in itself to determine conserved and divergent regions is a mainstay in bioinformatics analysis and is amply covered in R and Bioconductor with the ape and DECIPHER packages. We'll look at the extremely straightforward procedures for going from sequence to alignment in this recipe.

Note that there are different techniques for different sequence lengths. In this first recipe, we'll look at how to align some Kbp-length sequences such as those that represent genes and proteins.

Getting ready

This recipe needs the msa package. This is a pretty hefty package and includes external...

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