Computational Systems BiologyEdited by
- Andres Kriete
- Roland Eils
Systems Biology is concerned with the quantitative study of complex biosystems at the molecular, cellular, tissue, and systems scales. Its focus is on the function of the system as a whole, rather than on individual parts. This exciting new arena applies mathematical modeling and engineering methods to the study of biological systems. This book is the first of its kind to focus on the newly emerging field of systems biology with an emphasis on computational approaches. The work covers new concepts, methods for information storage, mining and knowledge extraction, reverse engineering of gene and metabolic networks, as well as modelling and simulation of multi-cellular systems. Central themes include strategies for predicting biological properties and methods for elucidating structure-function relationships.
Graduate students and researchers in Bioinformatics, Biocomputing, Theoretical Biology, Biochemistry/Biophysics, and Cell Biology.
Published: October 2005
Imprint: Academic Press
- SECTION CONTENTSI. Enabling Information and Integration Technologies for Systems BiologyII. Foundations of Biochemical Network Analysis and Modeling III. Computer Simulations of Dynamic NetworksIV. Multi-Scale Representations of Cells and Emerging Phenotypes