Computational Thinking for Life Scientists by Benny Chor (English) Paperback Boo

Description: Computational Thinking for Life Scientists by Benny Chor, Amir Rubinstein Aimed at life science students, and of interest to academic researchers, this book bridges the gap between the biological and computational sciences. It explains fundamental computational concepts and contains real-world examples focused on developing algorithmic and logical thinking skills. FORMAT Paperback LANGUAGE English CONDITION Brand New Publisher Description 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. Author Biography Benny Chor was a Professor in Computer Science (CS) at Tel-Aviv University, Israel, and head of the School of Computer Science at Tel-Aviv University between 2018 and 2020. His research interests spanned over computational biology, cryptography, and CS and math education, and he was renowned for his excellence in teaching. Benny passed away in June 2021. Amir Rubinstein is a lecturer in Computer Science at Tel-Aviv University, Israel. His activity surrounds computer science education, and innovation and research in teaching and learning CS. He has received numerous awards for outstanding teaching. Table of Contents Introduction; Part I. Programming in Python: 1. Crash introduction to python; 2. Efficiency matters – gentle intro to complexity; Part II. Sequences: 3. Sets dictionaries and hashing; 4. Regular expressions and biological patterns; Part III. Networks: 5. Basic notions in graph theory; 6. Shortest paths and breadth first search; 7. Simulation of regulatory networks; Part IV. Images: 8. Digital images representation; 9. Image processing; Part V. Limitations of Computing: 10. Mission impossible; 11. Mission infeasible; Index. Review An excellent and very gentle introduction to bioinformatics for biologists. In contrast to books that focus on algorithms and ignore programming or focus on programming without explaining algorithms, this book is a perfect blend of both algorithms and programming! Pavel Pevzner, Ronald R. Taylor Chair and Distinguished Professor of Computer Science, University of California at San DiegoThe ability to extract quantitative information from data is an essential skill for the modern biologist. In order to maximize the benefit of programming, use of existing computational tools and effective collaboration with computational scientists, biologists must be able to think computationally by gaining a more algorithmic and logical thinking. In their book, Benny Chor and Amir Rubinstein introduce fundamental computational concepts to life sciences students. Each chapter covers a distinct computational idea motivated by a concrete biological challenge. Questions embedded throughout each chapter and code examples provide hands-on practice. Similarly to the way in which chemistry is perceived as being essential to the biology curriculum, computational thinking should also be considered a part of the modern biologists basic training. This excellent book is essential reading for undergraduate life sciences students. Assaf Zaritsky, Ben-Gurion University of the Negev, Israel… an excellent introduction to programming for scholars in the life sciences … This book provides a strong, domain-specific foundation and belongs in the library of any institution supporting instruction in the life sciences. … Highly recommended. J. Forrest, Choice Promotional Introduces fundamental computational ideas and concepts in a biological context, with real-world examples and exercises in Python. Review Quote The ability to extract quantitative information from data is an essential skill for the modern biologist. In order to maximize the benefit of programming, use of existing computational tools and effective collaboration with computational scientists, biologists must be able to think computationally by gaining a more algorithmic and logical thinking. In their book, Benny Chor and Amir Rubinstein introduce fundamental computational concepts to life sciences students. Each chapter covers a distinct computational idea motivated by a concrete biological challenge. Questions embedded throughout each chapter and code examples provide hands-on practice. Similarly to the way in which chemistry is perceived as being essential to the biology curriculum, computational thinking should also be considered a part of the modern biologists basic training. This excellent book is essential reading for undergraduate life sciences students. Assaf Zaritsky, Ben-Gurion University of the Negev, Israel Promotional "Headline" Introduces fundamental computational ideas and concepts in a biological context, with real-world examples and exercises in Python. Details ISBN1316647595 Author Amir Rubinstein Publisher Cambridge University Press Language English Year 2022 ISBN-10 1316647595 ISBN-13 9781316647592 Format Paperback DEWEY 570.285 Imprint Cambridge University Press Place of Publication Cambridge Country of Publication United Kingdom Publication Date 2022-09-08 AU Release Date 2022-09-08 NZ Release Date 2022-09-08 UK Release Date 2022-09-08 Pages 216 Illustrations Worked examples or Exercises Alternative 9781107197244 Audience Professional & Vocational We've got this At The Nile, if you're looking for it, we've got it. With fast shipping, low prices, friendly service and well over a million items - you're bound to find what you want, at a price you'll love! TheNile_Item_ID:136503408;

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