Computational Life Sciences

Author : Angela B. Shiflet
Publisher : Princeton University Press
ISBN 13 : 140085055X
Total Pages : 857 pages
Book Rating : 4.56/5 ( download)

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Download or read book Introduction to Computational Science written by Angela B. Shiflet and published by Princeton University Press. This book was released on 2014-03-30 with total page 857 pages. Available in PDF, EPUB and Kindle. Book excerpt: The essential introduction to computational science—now fully updated and expanded Computational science is an exciting new field at the intersection of the sciences, computer science, and mathematics because much scientific investigation now involves computing as well as theory and experiment. This textbook provides students with a versatile and accessible introduction to the subject. It assumes only a background in high school algebra, enables instructors to follow tailored pathways through the material, and is the only textbook of its kind designed specifically for an introductory course in the computational science and engineering curriculum. While the text itself is generic, an accompanying website offers tutorials and files in a variety of software packages. This fully updated and expanded edition features two new chapters on agent-based simulations and modeling with matrices, ten new project modules, and an additional module on diffusion. Besides increased treatment of high-performance computing and its applications, the book also includes additional quick review questions with answers, exercises, and individual and team projects. The only introductory textbook of its kind—now fully updated and expanded Features two new chapters on agent-based simulations and modeling with matrices Increased coverage of high-performance computing and its applications Includes additional modules, review questions, exercises, and projects An online instructor's manual with exercise answers, selected project solutions, and a test bank and solutions (available only to professors) An online illustration package is available to professors

Author : Benny Chor
Publisher : Cambridge University Press
ISBN 13 : 1108195466
Total Pages : 220 pages
Book Rating : 4.61/5 ( download)

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Download or read book Computational Thinking for Life Scientists written by Benny Chor and published by Cambridge University Press. This book was released on 2022-08-31 with total page 220 pages. Available in PDF, EPUB and Kindle. Book excerpt: 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 : Jens Dörpinghaus
Publisher : Springer Nature
ISBN 13 : 303108411X
Total Pages : 593 pages
Book Rating : 4.19/5 ( download)

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Download or read book Computational Life Sciences written by Jens Dörpinghaus and published by Springer Nature. This book was released on 2023-03-04 with total page 593 pages. Available in PDF, EPUB and Kindle. Book excerpt: This book broadly covers the given spectrum of disciplines in Computational Life Sciences, transforming it into a strong helping hand for teachers, students, practitioners and researchers. In Life Sciences, problem-solving and data analysis often depend on biological expertise combined with technical skills in order to generate, manage and efficiently analyse big data. These technical skills can easily be enhanced by good theoretical foundations, developed from well-chosen practical examples and inspiring new strategies. This is the innovative approach of Computational Life Sciences-Data Engineering and Data Mining for Life Sciences: We present basic concepts, advanced topics and emerging technologies, introduce algorithm design and programming principles, address data mining and knowledge discovery as well as applications arising from real projects. Chapters are largely independent and often flanked by illustrative examples and practical advise.

Author : Cannataro, Mario
Publisher : IGI Global
ISBN 13 : 1605663751
Total Pages : 960 pages
Book Rating : 4.53/5 ( download)

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Download or read book Handbook of Research on Computational Grid Technologies for Life Sciences, Biomedicine, and Healthcare written by Cannataro, Mario and published by IGI Global. This book was released on 2009-05-31 with total page 960 pages. Available in PDF, EPUB and Kindle. Book excerpt: "This book provides methodologies and developments of grid technologies applied in different fields of life sciences"--Provided by publisher.

Author : Emmanuel Barillot
Publisher : CRC Press
ISBN 13 : 1439831440
Total Pages : 463 pages
Book Rating : 4.41/5 ( download)

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Download or read book Computational Systems Biology of Cancer written by Emmanuel Barillot and published by CRC Press. This book was released on 2012-08-25 with total page 463 pages. Available in PDF, EPUB and Kindle. Book excerpt: The future of cancer research and the development of new therapeutic strategies rely on our ability to convert biological and clinical questions into mathematical models—integrating our knowledge of tumour progression mechanisms with the tsunami of information brought by high-throughput technologies such as microarrays and next-generation sequencing. Offering promising insights on how to defeat cancer, the emerging field of systems biology captures the complexity of biological phenomena using mathematical and computational tools. Novel Approaches to Fighting Cancer Drawn from the authors’ decade-long work in the cancer computational systems biology laboratory at Institut Curie (Paris, France), Computational Systems Biology of Cancer explains how to apply computational systems biology approaches to cancer research. The authors provide proven techniques and tools for cancer bioinformatics and systems biology research. Effectively Use Algorithmic Methods and Bioinformatics Tools in Real Biological Applications Suitable for readers in both the computational and life sciences, this self-contained guide assumes very limited background in biology, mathematics, and computer science. It explores how computational systems biology can help fight cancer in three essential aspects: Categorising tumours Finding new targets Designing improved and tailored therapeutic strategies Each chapter introduces a problem, presents applicable concepts and state-of-the-art methods, describes existing tools, illustrates applications using real cases, lists publically available data and software, and includes references to further reading. Some chapters also contain exercises. Figures from the text and scripts/data for reproducing a breast cancer data analysis are available at www.cancer-systems-biology.net.

Author : Michael R. Berthold
Publisher : Springer
ISBN 13 : 3540317260
Total Pages : 287 pages
Book Rating : 4.65/5 ( download)

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Download or read book Computational Life Sciences written by Michael R. Berthold and published by Springer. This book was released on 2005-09-28 with total page 287 pages. Available in PDF, EPUB and Kindle. Book excerpt:

Author : Benny Chor
Publisher : Cambridge University Press
ISBN 13 : 1107197244
Total Pages : 219 pages
Book Rating : 4.44/5 ( download)

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Download or read book Computational Thinking for Life Scientists written by Benny Chor and published by Cambridge University Press. This book was released on 2022-09-08 with total page 219 pages. Available in PDF, EPUB and Kindle. Book excerpt: 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 : Michael R. Berthold
Publisher : Springer Science & Business Media
ISBN 13 : 3540457674
Total Pages : 279 pages
Book Rating : 4.71/5 ( download)

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Download or read book Computational Life Sciences II written by Michael R. Berthold and published by Springer Science & Business Media. This book was released on 2006-09-21 with total page 279 pages. Available in PDF, EPUB and Kindle. Book excerpt: This book constitutes the refereed proceedings of the Second International Symposium on Computational Life Sciences, CompLife 2006, held in Cambridge, UK, in September 2006.The 25 revised full papers presented were carefully reviewed and selected from 56 initial submissions. The papers are organized in topical sections on genomics, data mining, molecular simulation, molecular informatics, systems biology, biological networks/metabolism, and computational neuroscience.

Author : Tuan D. Pham
Publisher : Springer
ISBN 13 : 3642330150
Total Pages : 221 pages
Book Rating : 4.55/5 ( download)

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Download or read book Knowledge-Based Systems in Biomedicine and Computational Life Science written by Tuan D. Pham and published by Springer. This book was released on 2012-12-14 with total page 221 pages. Available in PDF, EPUB and Kindle. Book excerpt: This book presents a sample of research on knowledge-based systems in biomedicine and computational life science. The contributions include: personalized stress diagnosis system, image analysis system for breast cancer diagnosis, analysis of neuronal cell images, structure prediction of protein, relationship between two mental disorders, detection of cardiac abnormalities, holistic medicine based treatment and analysis of life-science data.

Author : Michael R. Berthold
Publisher : Springer
ISBN 13 : 9783540291046
Total Pages : 280 pages
Book Rating : 4.40/5 ( download)

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Download or read book Computational Life Sciences written by Michael R. Berthold and published by Springer. This book was released on 2005-09-16 with total page 280 pages. Available in PDF, EPUB and Kindle. Book excerpt: This book constitutes the refereed proceedings of the First International Symposium on Computational Life Sciences, CompLife 2005, held in Konstanz, Germany in September 2005. The 21 revised full papers presented together with 3 papers of a workshop on Distributed Data Mining in the Life Sciences (LifeDDM) were carefully reviewed and selected from 49 initial submissions. The papers cover areas ranging from high-level system biology to data analysis related to mass spec traces and are organized in topical sections on systems biology, data analysis and integration, structural biology, genomics, computational proteomics, molecular informatics, molecular structure determination and simulation, and distributed data mining.