{"product_id":"computational-thinking-for-life-scientists-hardback-9781107197244","title":"Computational Thinking for Life Scientists (Hardback) 9781107197244","description":"\u003cfont face=\"Georgia\"\u003e\r\n\u003cp\u003e\u003cfont size=\"6\"\u003eComputational Thinking for Life Scientists\u003c\/font\u003e\u003cbr\u003e\r\n\r\n\r\n\u003c\/p\u003e\n\u003cp\u003e\u003cem\u003eIntroduces fundamental computational ideas and concepts in a biological context, with real-world examples and exercises in Python.\u003c\/em\u003e\u003c\/p\u003e\r\n\r\n\r\n\u003cp\u003e\u003cfont size=\"4\"\u003eBenny Chor (Author), Amir Rubinstein (Author)\u003c\/font\u003e\u003c\/p\u003e\r\n\r\n\u003cp\u003e\u003cfont size=\"3\"\u003e9781107197244, Cambridge University Press\u003c\/font\u003e\u003c\/p\u003e\r\n\r\n\u003cp\u003e\u003cfont size=\"3\"\u003eHardback, published 8 September 2022\u003c\/font\u003e\u003c\/p\u003e\r\n\r\n\u003cp\u003e\u003cfont size=\"3\"\u003e216 pages\u003cbr\u003e25 x 17.5 x 1.5 cm, 0.56 kg\u003c\/font\u003e\u003c\/p\u003e\r\n\r\n\r\n\r\n\u003cp align=\"justify\"\u003e\u003cem\u003e\u003cfont size=\"3\"\u003e'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 biologist's basic training. This excellent book is essential reading for undergraduate life sciences students.' Assaf Zaritsky, Ben-Gurion University of the Negev, Israel\u003c\/font\u003e\u003c\/em\u003e\u003c\/p\u003e\r\n\r\n\u003cp align=\"justify\"\u003e\u003cstrong\u003e\u003cfont size=\"3\"\u003eComputational 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.\u003c\/font\u003e\u003c\/strong\u003e\u003c\/p\u003e\r\n\r\n\u003cp\u003e\u003cfont size=\"3\"\u003eIntroduction\u003cbr\u003e Part I. Programming in Python: 1. Crash introduction to python\u003cbr\u003e 2. Efficiency matters – gentle intro to complexity\u003cbr\u003e Part II. Sequences: 3. Sets dictionaries and hashing\u003cbr\u003e 4. Regular expressions and biological patterns\u003cbr\u003e Part III. Networks: 5. Basic notions in graph theory\u003cbr\u003e 6. Shortest paths and breadth first search\u003cbr\u003e 7. Simulation of regulatory networks\u003cbr\u003e Part IV. Images: 8. Digital images representation\u003cbr\u003e 9. Image processing\u003cbr\u003e Part V. Limitations of Computing: 10. Mission impossible\u003cbr\u003e 11. Mission infeasible\u003cbr\u003e Index.\u003c\/font\u003e\u003c\/p\u003e\r\n\r\n\u003cp\u003e\u003cfont size=\"3\"\u003eSubject Areas: Genetics [\u003ca title=\"See our other books on Genetics\" href=\"https:\/\/freshlyprintedbooks.co.uk\/search?q=%22Genetics%20%5Bnon-medical%5D%20%5BPSAK%5D%22\"\u003enon-medical PSAK\u003c\/a\u003e]\u003c\/font\u003e\u003c\/p\u003e\r\n\r\n\r\n\u003c\/font\u003e","brand":"Cambridge University Press","offers":[{"title":"Default Title","offer_id":46265671975192,"sku":"9781107197244","price":81.89,"currency_code":"GBP","in_stock":true}],"thumbnail_url":"\/\/cdn.shopify.com\/s\/files\/1\/0730\/2037\/5320\/products\/9781107197244i.jpg?v=1692025538","url":"https:\/\/freshlyprintedbooks.co.uk\/products\/computational-thinking-for-life-scientists-hardback-9781107197244","provider":"Freshly Printed Books","version":"1.0","type":"link"}