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.
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 →
“Allesina and Wilmes dedicate their book to ‘all biologists who thought they couldn’t code’: we often thought we couldn’t for lack of comprehensive resources. Computing Skills for Biologists changes this situation and should find a home on every biologist’s bookshelf.”
Professor, University of Montreal, Canada
“This book presents a toolbox that includes Python, Git, LaTeX, and SQL as well as R, and is aimed at graduate students in biology who have just realized that a few hundred megabytes of messy data are standing between them and their thesis. The authors present the basics of each subject clearly and concisely using real-world data analysis examples at every turn. They freely admit in the introduction that coverage will be broad and shallow, but that’s exactly what books like this should aim for, and they hit a bulls eye.” Full review
Co-founder of Software Carpentry
“This textbook helps advanced undergraduates and graduate students gain familiarity with computational skills that will allow them to do really useful research. The material tackled by the text is challenging, but Allesina and Wilmes have developed an effective way to help students learn. There isn’t anything else out there like it and I’m going to definitely adopt it for course use.”
Professor, University of California, Los Angeles
“Computing Skills for Biologists is a valuable gift for students, and if it had been available when I was a student, I know I would have benefited greatly from it. This textbook looks into the craft of computational biology research, showing how it can be conducted with more efficiency and ease.”
Professor, Umeå University, Sweden
“The computational skills a modern biologist requires are multifaceted, making it difficult to recommend a single text to support student learning. Allesina and Wilmes have risen to this challenge, providing a text which is pitched perfectly for the beginning student and provides a useful reference for the rest of us.” Full review
David Martin and Laura Pugh
The Biologist—Royal Society of Biology