System Modeling in Cellular Biology: From Concepts to Nuts and Bolts
Zoltan Szallasi, Jorg Stelling, and Vipul Periwal
Abstract
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. The emerging area of systems level modeling in cellular biology has lacked a critical and thorough overview. The book provides the necessary critical comparison of co ... More
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. The emerging area of systems level modeling in cellular biology has lacked a critical and thorough overview. The book provides 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.
Keywords:
systems biology,
computer science,
statistics,
biochemistry,
system modeling,
cellular biology,
robustness,
modularity,
biological systems,
mathematical models
Bibliographic Information
| Print publication date: 2006 |
Print ISBN-13: 9780262195485 |
| Published to MIT Press Scholarship Online: August 2013 |
DOI:10.7551/mitpress/9780262195485.001.0001 |
