R Bioinformatics Cookbook, Second Edition

R Bioinformatics Cookbook, 2nd Edition

eBook Details:

  • Paperback: 396 pages
  • Publisher: WOW! eBook; 2nd edition (October 31, 2023)
  • Language: English
  • ISBN-10: 1837634270
  • ISBN-13: 978-1837634279

eBook Description:

R Bioinformatics Cookbook, 2nd Edition: Discover over 80 recipes for modeling and handling real-life biological data using modern libraries from the R ecosystem

The updated R Bioinformatics Cookbook, Second Edition 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.

This book will walk you through the Bioconductor tools necessary for you to understand and carry out protocols in RNA-seq and ChIP-seq, phylogenetics, genomics, gene search, gene annotation, statistical analysis, and sequence analysis. As you advance, you’ll find out how to use Quarto to create data-rich reports, presentations, and websites, as well as get a clear understanding of how machine learning techniques can be applied in the bioinformatics domain. The concluding chapters will help you develop proficiency in key skills, such as gene annotation analysis and functional programming in purrr and base R. Finally, you’ll discover how to use the latest AI tools, including ChatGPT, to generate, edit, and understand R code and draft workflows for complex analyses.

  • Set up a working environment for bioinformatics analysis with R
  • Import, clean, and organize bioinformatics data using tidyr
  • Create publication-quality plots, reports, and presentations using ggplot2 and Quarto
  • Analyze RNA-seq, ChIP-seq, genomics, and next-generation genetics with Bioconductor
  • Search for genes and proteins by performing phylogenetics and gene annotation
  • Apply ML techniques to bioinformatics data using mlr3
  • Streamline programmatic work using iterators and functional tools in the base R and purrr packages
  • Use ChatGPT to create, annotate, and debug code and workflows

By the end of this R Bioinformatics Cookbook, 2nd Edition book, you’ll have gained a solid understanding of the skills and techniques needed to become a bioinformatics specialist and efficiently work with large and complex bioinformatics datasets.


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