System modeling in cell biology : from concepts to nuts and bolts / edited by Zoltan Szallasi, J�org Stelling, Vipul Periwal.
Contributor(s): Szallasi, Zoltan
| Stelling, J�org | Periwal, Vipul | IEEE Xplore (Online Service) [distributor.] | MIT Press [publisher.].
Material type: 
BookPublisher: Cambridge, Massachusetts : MIT Press, c2006Distributor: [Piscataqay, New Jersey] : IEEE Xplore, [2010]Description: 1 PDF (xiv, 448 pages) : illustrations.Content type: text Media type: electronic Carrier type: online resourceISBN: 9780262257060.Other title: System modeling in cellular biology [Spine title].Subject(s): Biological systems | Cytology -- Computer simulation | Cytology -- Data processing | Cytology -- Mathematical models | SCIENCE -- Life Sciences -- Cell BiologyGenre/Form: Electronic books.Additional physical formats: Print version: No titleDDC classification: 571.601/1 Online resources: Abstract with links to resource Also available in print.Summary: Research in systems biology requires the collaboration of researchers from diverse backgrounds, including biology, computer science, mathematics, statistics, physics, and biochemistry. These collaborations, necessary because of the enormous breadth of background needed for research in this field, can be hindered by differing understandings of the limitations and applicability of techniques and concerns from different disciplines. This comprehensive introduction and overview of system modeling in biology makes the relevant background material from all pertinent fields accessible to researchers with different backgrounds.The emerging area of systems level modeling in cellular biology has lacked a critical and thorough overview. This book fills that gap. It is the first to provide the necessary critical comparison of concepts and approaches, with an emphasis on their possible applications. It presents key concepts and their theoretical background, including the concepts of robustness and modularity and their exploitation to study biological systems; the best-known modeling approaches, and their advantages and disadvantages; lessons from the application of mathematical models to the study of cellular biology; and available modeling tools and datasets, along with their computational limitations.
"A Bradford book."
Includes bibliographical references (p. [385]-433) and index.
Restricted to subscribers or individual electronic text purchasers.
Research in systems biology requires the collaboration of researchers from diverse backgrounds, including biology, computer science, mathematics, statistics, physics, and biochemistry. These collaborations, necessary because of the enormous breadth of background needed for research in this field, can be hindered by differing understandings of the limitations and applicability of techniques and concerns from different disciplines. This comprehensive introduction and overview of system modeling in biology makes the relevant background material from all pertinent fields accessible to researchers with different backgrounds.The emerging area of systems level modeling in cellular biology has lacked a critical and thorough overview. This book fills that gap. It is the first to provide the necessary critical comparison of concepts and approaches, with an emphasis on their possible applications. It presents key concepts and their theoretical background, including the concepts of robustness and modularity and their exploitation to study biological systems; the best-known modeling approaches, and their advantages and disadvantages; lessons from the application of mathematical models to the study of cellular biology; and available modeling tools and datasets, along with their computational limitations.
Also available in print.
Mode of access: World Wide Web
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