Computational Thinking for Life Scientists

Computational Thinking for Life Scientists
Author: Benny Chor
Publisher: Cambridge University Press
Total Pages: 219
Release: 2022-09-08
Genre: Computers
ISBN: 1107197244

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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.

Computational Life Sciences

Computational Life Sciences
Author: Jens Dörpinghaus
Publisher: Springer Nature
Total Pages: 593
Release: 2023-03-04
Genre: Computers
ISBN: 303108411X

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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.

Knowledge-Based Systems in Biomedicine and Computational Life Science

Knowledge-Based Systems in Biomedicine and Computational Life Science
Author: Tuan D. Pham
Publisher: Springer
Total Pages: 221
Release: 2012-12-14
Genre: Technology & Engineering
ISBN: 3642330150

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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.

Introduction to Computational Science

Introduction to Computational Science
Author: Angela B. Shiflet
Publisher: Princeton University Press
Total Pages: 857
Release: 2014-03-30
Genre: Computers
ISBN: 140085055X

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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

Computational Life Sciences

Computational Life Sciences
Author: Michael R. Berthold
Publisher: Springer
Total Pages: 287
Release: 2005-09-28
Genre: Science
ISBN: 3540317260

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Handbook of Research on Computational Grid Technologies for Life Sciences, Biomedicine, and Healthcare

Handbook of Research on Computational Grid Technologies for Life Sciences, Biomedicine, and Healthcare
Author: Cannataro, Mario
Publisher: IGI Global
Total Pages: 960
Release: 2009-05-31
Genre: Medical
ISBN: 1605663751

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"This book provides methodologies and developments of grid technologies applied in different fields of life sciences"--Provided by publisher.

Computational Biology

Computational Biology
Author: Tuan Pham
Publisher: Springer Science & Business Media
Total Pages: 309
Release: 2009-09-23
Genre: Medical
ISBN: 1441908110

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This volume covers techniques in computational biology and their applications in oncology. It details advanced statistical methods, heuristic algorithms, cluster analysis, data modeling, and image and pattern analysis applied to cancer research.

Computational Cell Biology

Computational Cell Biology
Author: Christopher P. Fall
Publisher: Springer Science & Business Media
Total Pages: 484
Release: 2005-02-15
Genre: Science
ISBN: 0387953698

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This textbook provides an introduction to dynamic modeling in molecular cell biology, taking a computational and intuitive approach. Detailed illustrations, examples, and exercises are included throughout the text. Appendices containing mathematical and computational techniques are provided as a reference tool.

Computational Life Sciences II

Computational Life Sciences II
Author: Michael R. Berthold
Publisher: Springer
Total Pages: 279
Release: 2006-11-23
Genre: Science
ISBN: 3540457682

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This book constitutes the refereed proceedings of the Second International Symposium on Computational Life Sciences, CompLife 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.

Computational Immunology

Computational Immunology
Author: Shyamasree Ghosh
Publisher: CRC Press
Total Pages: 201
Release: 2020-01-31
Genre: Medical
ISBN: 1351023497

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Computational Immunology: Applications focuses on different mathematical models, statistical tools, techniques, and computational modelling that helps in understanding complex phenomena of the immune system and its biological functions. The book also focuses on the latest developments in computational biology in designing of drugs, targets, biomarkers for early detection and prognosis of a disease. It highlights the applications of computational methods in deciphering the complex processes of the immune system and its role in health and disease. This book discusses the most essential topics, including Next generation sequencing (NGS) and computational immunology Computational modelling and biology of diseases Drug designing Computation and identification of biomarkers Application in organ transplantation Application in disease detection and therapy Computational methods and applications in understanding of the invertebrate immune system S Ghosh is MSc, PhD, PGDHE, PGDBI, is PhD from IICB, CSIR, Kolkata, awarded the prestigious National Scholarship from the Government of India. She has worked and published extensively in glycobiology, sialic acids, immunology, stem cells and nanotechnology. She has authored several publications that include books and encyclopedia chapters in reputed journals and books.