Preface

In biology, genetics and genomics data is the driver of discovery. To harness the power of data, bioinformaticians rely on computational tools and none is more powerful in the statistical and visualization world than R. R Bioinformatics Cookbook, Second Edition, is designed to help you take control of all manner of bioinformatics analyses and to help you navigate the intricate world of bioinformatics with R.

The R Bioinformatics Cookbook, Second Edition book, is a resource for getting good work done quickly. It will help researchers to sharpen their skills and broaden their knowledge of important packages such as the tidyverse for data management, ggplot for visualization, and mlr for machine learning and delves deeply into the comprehensive Bioconductor framework of tools tailored specifically toward the most taxing and common analyses in bioinformatics.