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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| Format: | eBook |
| Language: | English |
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Birmingham
Packt Publishing, Limited
2019
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| Collection: | O'Reilly - Collection details see MPG.ReNa |
Table of Contents:
- 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
- Includes bibliographical references and index
- 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