Product Description

This book provides an introduction and overview of system modelling in biology that is accessible to researchers from different fields, including biology, computer science, mathematics, statistics, physics, and biochemistry. 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 modelling in biology makes the relevant background material from all pertinent fields accessible to researchers with different backgrounds. The emerging area of systems level modelling 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 modelling approaches, and their advantages and disadvantages; lessons from the application of mathematical models to the study of cellular biology; and available modelling tools and datasets, along with their computational limitations.

Product Details

• Amazon Sales Rank: #683578 in Books
• Published on: 2006-04-25
• Original language: English
• Number of items: 1
• Binding: Hardcover
• 464 pages

About the Author
Zoltan Szallasi is a faculty member of the Children's Hospital Informatics Program at Harvard Medical School. Jorg Stelling is a faculty member of the Department of Computer Science at ETH Zurich. Vipul Periwal is Visiting Scientist at the Children's Hospital Informatics Program.