System modeling in cell biology : from concepts to nuts and bolts /
This is 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.
Clasificación: | Libro Electrónico |
---|---|
Otros Autores: | , , |
Formato: | Electrónico eBook |
Idioma: | Inglés |
Publicado: |
Cambridge, Mass. :
MIT Press,
©2006.
|
Temas: | |
Acceso en línea: | Texto completo |
Tabla de Contenidos:
- The role of modeling in systems biology / Douglas B. Kell and Joshua D. Knowles
- Complexity and robustness of cellular systems / Jorg Stelling, Uwe Sauer, Francis J. Doyle III, and John Doyle
- On modules and modularity / Zoltan Szallasi, Vipul Periwal, and Jorg Stelling
- Bayesian inference of biological systems; the logic of biology / Vipul Periwal
- Stoichiometric and constraint-based modeling / Steffen Klant and Jorg Stelling
- Modeling molecular interaction networks with nonlinear ordinary differential equations / Emery D. Conrad and John J. Tyson
- Qualitiative approaches to the analysis of genetic regulatory networks / Hidde de Jong and Delphine Ropers
- Stochastic modeling of intracellular kinetics / Johan Paulsson and Johan Elf
- Kinetics in spatially extended systems / Karsten Kruse and Johan Elf
- Biological data acquisition for system level modeling
- an exercise in the art of compromise / Zoltan Szallasi
- Methods to identify cellular architecture and dynamics from experimental data / Rudiyanto Gunawan, Kapil G. Gadkar, and Francis J. Doyle III
- Using control theory to study biology / Brian P. Ingalls, Tau-Nu Yi, and Pablo A. Iglesias
- Synthetic gene regulatory systems / Mads Koern and Ron Weiss
- Multilevel modeling in systems biology : from cells to whole organs / Denis Noble
- Computational constraints on modeling in systems biology / Vipul Periwal
- Numerical simulation for biochemical kinetics / Daniel T. Gillespie and Linda R. Petzold
- Software infrastructure for effective communication and reuse of computational models / Andrew Finney [and others].