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Computational thinking for life scientists

Record Type:	Electronic resources : Monograph/item
Title/Author:	Computational thinking for life scientistsBenny Chor, Tel-Aviv University, Amir Rubinstein, Tel-Aviv University.
Author:	Chor, Benny.
other author:	Rubinstein, Amir.
Published:	Cambridge, United Kingdom ; New York, NY :Cambridge University Press,2022.
Description:	209 p. :ill., digital ;25 cm.
Notes:	Title from publisher's bibliographic system (viewed on 25 Aug 2022).
Subject:	BiologyData processing.
Online resource:	https://doi.org/10.1017/9781108178327
ISBN:	9781108178327

Computational thinking for life scientists
Chor, Benny.

Computational thinking for life scientists[electronic resource] /Benny Chor, Tel-Aviv University, Amir Rubinstein, Tel-Aviv University. - Cambridge, United Kingdom ; New York, NY :Cambridge University Press,2022. - 209 p. :ill., digital ;25 cm.

Title from publisher's bibliographic system (viewed on 25 Aug 2022).

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.

ISBN: 9781108178327Subjects--Topical Terms:

182550
Biology
--Data processing.

LC Class. No.: QH324.2 / .C437 2022

Dewey Class. No.: 570.285

Computational thinking for life scientists
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520 $a 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.
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