pstrongDiscover over 80 recipes for modeling and handling real-life biological data using modern libraries from the R ecosystemstrongppbrppstrongKey Features strongppbrpulliApply modern R packages to process biological data using real-world examplesliliRepresent biological data with advanced visualizations and workflows suitable for research and publicationsliliSolve real-world bioinformatics problems such as transcriptomics, genomics, and phylogeneticsliliPurchase of the print or Kindle book includes a free PDF eBookliulpbrppstrongBook Description strongppbrppThe updated second edition of R Bioinformatics Cookbook takes a recipe-based approach to show you how to conduct practical research and analysis in computational biology with R. You'll learn how to create a useful and modular R working environment, along with loading, cleaning, and analyzing data using the most up-to-date Bioconductor, ggplot2, and tidyverse tools.ppbrppThis book will walk you through the Bioconductor tools neces