Computational Thinking for Life Scientists

Computational thinking is gaining importance in modern biology due to the vast amount of data produced. This book provides an accessible introduction to computational concepts for life science students, focusing on teaching algorithmic and logical thinking rather than just the use of bioinformatics tools or programming. It presents topics from a biological point of view and includes real-world examples, in-text exercises, end-of-chapter problems, color-coded Python code, and code explained boxes to aid understanding.

Format: Paperback / softback
Length: 216 pages
Publication date: 08 September 2022
Publisher: Cambridge University Press

Computational thinking is gaining immense importance in modern biology, owing to the vast amount of data generated on a daily basis. This book serves as an accessible introduction to computational concepts for students in the life sciences, bridging the cultural gap between biological and computational sciences. It focuses on teaching algorithmic and logical thinking, rather than merely using existing bioinformatics tools or programming. Topics are presented from a biological perspective, demonstrating how computational approaches can be employed to solve biological problems such as biological image processing, regulatory networks, and sequence analysis.

The book incorporates a variety of pedagogical features to enhance understanding, including real-world examples, in-text exercises, end-of-chapter problems, color-coded Python code, and code explained boxes. User-friendly throughout, Computational Thinking for Life Scientists promotes the thinking skills and self-efficacy necessary for any modern biologist to confidently adopt computational approaches in their research.

Weight: 426g
Dimension: 171 x 243 x 14 (mm)
ISBN-13: 9781316647592