To get the most out of this book
The book assumes that you have a basic working knowledge of R in the console and that you have a background in biology or life sciences. The book won’t try and teach you any biology; instead, we concentrate on applications of R within science. You will learn lots of new things about R that will enhance your bioinformatics research.
|
Software/hardware covered in the book |
Operating system requirements |
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R 4.2 or greater |
Windows, macOS, or Linux |
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Python 3.8 or greater |
Windows, macOS, or Linux |
Many individual R packages and some external tools are needed. All these will be discussed in the relevant chapters and recipes so make sure to read the Getting ready… sections.
If you are using the digital version of this book, we advise you to type the code yourself or access the code from the book’s GitHub repository (a link is available in the next section). Doing so will help you avoid any potential errors related to the copying and pasting of code.
The sample data for this book is provided in an R package that you can install from within R. Look out for advice on how to do that in the relevant chapters and recipes. The code won’t work without the sample data, so look out for that.
