Paperback | 2019
ISBN: 9780691182759 | $45 | £35
eBook | eISBN: 9780691183961

440 pp. | 8 x 10 | 7 b/w illus.

Learn how to analyze, visualize and publish large data sets

For graduate students and more seasoned biologists who want to make their analysis efficient, automated and reproducible.
About the Book →

Practice with relevant data

All examples and exercises use published data sets from a diverse array of biological disciplines.

Exercises and Solutions →

Build your computational toolbox

Unix, Git, Python, Regular expressions, R, LaTeX and sqlite
Table of Contents ↓

Use free software on Linux, Mac OS X or Windows

All the tools introduced in the book are free software. They have minimal requirements in terms of hardware, and work on any platform.
Setup →

For use in class or self-teaching

Provides an introduction to each tool and examples taken from across biology. The extensive reading list and the challenging exercises make it ideal for “flipped classroom" teaching.
Example Syllabi →

A concise introduction to key computing skills for biologists

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