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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

Getting gene ontology information

The Gene Ontology (GO) is a very useful restricted vocabulary of annotation terms for genes and gene products that describe the biological process, molecular function, or cellular component of an annotated entity. As such, the terms are extremely useful as data in such things as gene-set enrichment analysis and other functional -omics approaches. In this recipe, we'll look at how we can prepare a list of gene IDs in a genomic region and get the GO IDs and descriptions for them all.

Getting ready

As we're still using the biomaRt package, we'll just need that and a working internet connection.

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