- Bioinformatics with Python Cookbook
- Tiago Antao
- 225字
- 2021-06-10 19:01:38
To get the most out of this book
Modern bioinformatics analysis is normally performed on a Linux server. Most of our recipes will also work on macOS. It will also work on Windows in theory, but this is not recommended. If you do not have a Linux server, you can use a free virtual machine emulator, such as VirtualBox, to run it on a Windows/macOS computer. An alternative that we explore in the book is to use Docker as a container, which can be used on Windows and macOS.
As modern bioinformatics is a big data discipline, you will need a reasonable amount of memory; at least 8 GB on a native Linux machine, probably 16 GB on a macOS/Windows system, but more would be better. A broadband internet connection will also be necessary to download the real and hands-on datasets used in the book.
Python is a requirement. With few exceptions, the code will need Python 3. Many free Python libraries will also be required and these will be presented in the book. Biopython, NumPy, SciPy, and Matplotlib are used in almost all chapters. Although Jupyter Notebook is not strictly required, it's highly encouraged. Different chapters will also require various bioinformatics tools. All the tools used in the book are freely available and thorough instructions are provided in the relevant chapters of this book.
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