Computational thinking for life scientists

Research output: Book/ReportBookpeer-review

Abstract

Computational thinking is increasingly gaining importance in modern biology, due to the unprecedented scale at which data is nowadays produced. Bridging the cultural gap between the biological and computational sciences, this book serves as an accessible introduction to computational concepts for students in the life sciences. It focuses on teaching algorithmic and logical thinking, rather than just the use of existing bioinformatics tools or programming. Topics are presented from a biological point of view, to demonstrate how computational approaches can be used to solve problems in biology such as biological image processing, regulatory networks, and sequence analysis. The book contains a range of pedagogical features to aid understanding, including real-world examples, in-text exercises, end-of-chapter problems, colour-coded Python code, and 'code explained' boxes. User-friendly throughout, Computational Thinking for Life Scientists promotes the thinking skills and self-efficacy required for any modern biologist to adopt computational approaches in their research with confidence.
Original languageEnglish
Place of PublicationCambridge, United Kingdom ; New York, NY
PublisherCambridge University Press
Number of pages209
Edition1st
ISBN (Electronic)1107197244, 1316647595, 9781107197244, 9781108178327, 9781316647592
StatePublished - 2022

ULI Keywords

  • uli
  • Biology -- Data processing
  • Computational biology
  • Computer logic
  • Computer science logic

Fingerprint

Dive into the research topics of 'Computational thinking for life scientists'. Together they form a unique fingerprint.

Cite this