R Bioinformatics Cookbook Use R and Bioconductor to Perform RNAseq, Genomics, Data Visualization, and Bioinformatic Analysis

In the R Bioinformatics Cookbook, you encounter common and not-so-common challenges in the bioinformatics domain and solve them using real-world examples. The book guides you through varied bioinformatics analysis, from raw data to clean results. It shows you how to import, explore and evaluate your...

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Bibliographic Details
Main Author: MacLean, Dan
Format: eBook
Language:English
Published: Birmingham Packt Publishing, Limited 2019
Subjects:
Online Access:
Collection: O'Reilly - Collection details see MPG.ReNa
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245 0 0 |a R Bioinformatics Cookbook  |b Use R and Bioconductor to Perform RNAseq, Genomics, Data Visualization, and Bioinformatic Analysis 
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505 0 |a R Bioinformatics Cookbook: Use R and Bioconductor to perform RNAseq, genomics, data visualization, and bioinformatic analysis -- Contributors -- Table of Contents -- Preface -- 1. Performing Quantitative RNAseq -- 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 -- Other Books You May Enjoy -- Index 
505 0 |a Includes bibliographical references and index 
505 0 |a Performing quantitative RNAseq -- Finding genetic variants with HTS data -- Searching genes and proteins for domains and motifs -- Phylogenetic analysis and visualization -- Metagenomics -- Proteomics from spectrum to annotation -- Producing publication and web-ready visualizations -- Working with databases and remote data sources -- Useful statistical and machine learning methods -- Programming with tidyverse and bioconductor -- Building objects and packages for code reuse 
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520 |a In the R Bioinformatics Cookbook, you encounter common and not-so-common challenges in the bioinformatics domain and solve them using real-world examples. The book guides you through varied bioinformatics analysis, from raw data to clean results. It shows you how to import, explore and evaluate your data and how to report it