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R Bioinformatics Cookbook
R Bioinformatics Cookbook

R Bioinformatics Cookbook: Use R and Bioconductor to perform RNAseq, genomics, data visualization, and bioinformatic analysis

By Dan MacLean
AU$66.99 AU$45.99
Book Oct 2019 316 pages 1st Edition
eBook
AU$66.99 AU$45.99
Print
AU$82.99
Subscription
$19.99 Monthly
eBook
AU$66.99 AU$45.99
Print
AU$82.99
Subscription
$19.99 Monthly

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Product Details


Publication date : Oct 11, 2019
Length 316 pages
Edition : 1st Edition
Language : English
ISBN-13 : 9781789950694
Vendor :
RStudio
Category :
Languages :
Concepts :
Table of content icon View table of contents Preview book icon Preview Book

R Bioinformatics Cookbook

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Key benefits

  • Apply modern R packages to handle biological data using real-world examples
  • Represent biological data with advanced visualizations suitable for research and publications
  • Handle real-world problems in bioinformatics such as next-generation sequencing, metagenomics, and automating analyses

Description

Handling biological data effectively requires an in-depth knowledge of machine learning techniques and computational skills, along with an understanding of how to use tools such as edgeR and DESeq. With the R Bioinformatics Cookbook, you’ll explore all this and more, tackling common and not-so-common challenges in the bioinformatics domain using real-world examples. This book will use a recipe-based approach to show you how to perform practical research and analysis in computational biology with R. You will learn how to effectively analyze your data with the latest tools in Bioconductor, ggplot, and tidyverse. The book will guide you through the essential tools in Bioconductor to help you understand and carry out protocols in RNAseq, phylogenetics, genomics, and sequence analysis. As you progress, you will get up to speed with how machine learning techniques can be used in the bioinformatics domain. You will gradually develop key computational skills such as creating reusable workflows in R Markdown and packages for code reuse. By the end of this book, you’ll have gained a solid understanding of the most important and widely used techniques in bioinformatic analysis and the tools you need to work with real biological data.

What you will learn

Employ Bioconductor to determine differential expressions in RNAseq data Run SAMtools and develop pipelines to find single nucleotide polymorphisms (SNPs) and Indels Use ggplot to create and annotate a range of visualizations Query external databases with Ensembl to find functional genomics information Execute large-scale multiple sequence alignment with DECIPHER to perform comparative genomics Use d3.js and Plotly to create dynamic and interactive web graphics Use k-nearest neighbors, support vector machines and random forests to find groups and classify data

What do you get with eBook?

Product feature icon Instant access to your Digital eBook purchase
Product feature icon Download this book in EPUB and PDF formats
Product feature icon Access this title in our online reader with advanced features
Product feature icon DRM FREE - Read whenever, wherever and however you want
Buy Now

Product Details


Publication date : Oct 11, 2019
Length 316 pages
Edition : 1st Edition
Language : English
ISBN-13 : 9781789950694
Vendor :
RStudio
Category :
Languages :
Concepts :

Table of Contents

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

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