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Computational thinking for life scientists /
紀錄類型:
書目-語言資料,印刷品 : Monograph/item
正題名/作者:
Computational thinking for life scientists // Benny Chor, Tel-Aviv University, Amir Rubinstein, Tel-Aviv University.
作者:
Chor, Benny,
其他作者:
Rubinstein, Amir,
面頁冊數:
1 online resource (209 pages) :digital, PDF file(s). :
附註:
Title from publisher's bibliographic system (viewed on 25 Aug 2022).
標題:
Computer logic. -
電子資源:
https://doi.org/10.1017/9781108178327
ISBN:
9781108178327 (ebook)
Computational thinking for life scientists /
Chor, Benny,
Computational thinking for life scientists /
Benny Chor, Tel-Aviv University, Amir Rubinstein, Tel-Aviv University. - 1 online resource (209 pages) :digital, PDF file(s).
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: 9781108178327 (ebook)Subjects--Topical Terms:
786340
Computer logic.
LC Class. No.: QH324.2 / .C437 2022
Dewey Class. No.: 570.285
Computational thinking for life scientists /
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https://doi.org/10.1017/9781108178327
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