|aComputational systems biology /|cedited by Andres Kriete, Roland Eils.
|aAmsterdam ; Boston :|bElsevier,|cc2006.
|ax, 409 p. :|bill. (some col.) ;|c24 cm.
|aIncludes bibliographical references and index.
|aIntroducing computational systems biology / Andres Kriete and Roland Eils -- Enabling information and integration technologies for systems biology. Databases for systems biology / Ju p+ sgen Eils ... [et al.] -- Natural language processing and ontology-enhanced biomedical literature mining for systems biology / Xiaohua Hu -- Integrated imaging informatics / Barham Parvin ... [et al.] -- Simpathica : a computational systems biology tool within the valis bioinformatics environment / Bud mishra ... [et al.] -- Standards, platforms, and applications / Herbert M. Sauro -- Foundations of biochemical network analysis and modeling. Introduction to computational models of biochemical reaction networks / F.J. Bruggeman ... [et al.] -- Biological foundations of signal transduction and the systems biology perspective / Ursula Klingmu p+ sler -- Reconstruction of metabolic network from genome information and its structural and functional analysis / Hong-Wu Ma and An-Ping Zeng -- Integrated regulatory and metabolic models / Markus W. Covert -- Computer simulations of dynamic networks. A discrete approach to network modeling / Reinhard Laubenbacher and Pedro Mendes -- Gene networks : estimation, modeling and simulation / Seiya Imoto, Hiroshi Matsuno, and Satoru Miyano -- Computational models for circadian rhythms : deterministic versus stochastic approaches / Jean-Christophe Leloup, Didier Gonze, and Albert Goldbeter -- Multi-scale representations of cells and emerging phenotypes. Multistability and multicellularity : cell fates as high-dimensional attractors of gene regulatory networks / Sui Huang -- Spatio-temporal systems biology / Avijit ghosh ... [et al.] -- Cytomics--from cell states to predictive medicine / Gu p+ ster Valet ... [et al.] -- The IUPS Physiome Project : progress and plans / Peter Hunter ... [et al.]
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.