R Bioinformatics Cookbook

Table of Contents

1. Performing Quantitative RNAseq
2. Finding Genetic Variants With Next-Generation Sequence Data
3. Analyzing Gene and Protein Sequence For Domains and Motifs
4. Phylogenetic Analysis and Visualisation
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 in Bioinformatics
10. Programming and Analysis with Tidyverse
11. Building reusable workflows with packages and objects for code re-use