Computational Systems Biology: From Molecular Mechanisms to Disease (2nd Revised edition)
By: Andres Kriete (editor), Roland Eils (editor)Hardback
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This comprehensively revised new edition of the classic work discusses the experimental and theoretical foundations of the function of biological systems at the molecular, cellular or organismal level over temporal and spatial scales, as systems biology advances to provide clinical solutions to complex medical problems. In particular, the work focuses on the engineering of biological systems and network modeling.
NEW TO THIS EDITION: - New concepts and methods for abstracting, compiling, simulating and analyzing computational models - Information storage, mining and knowledge extraction - Reverse engineering of gene and metabolomic networks - New methods and computational aspects - Modeling and simulation of multicellular systems in health and disease - Selected contributions, including bottom-up strategies that predict emergent biological properties, top-down concepts that elucidate form and function, and advanced applications including clinical and translational systems biology * Offers a logical information flow that aids understanding of basic building blocks of life through disease phenotypes * Gives insight into underlying organizational principles of biological organizations and systems processes governing functions such as adaptation or response patterns through evolved principles* Includes coverage of technical tools and systems to help researchers understand and resolve specific systems biology problems using advanced computation* Features multi-scale modeling on disparate scales that aids researchers in understanding dependencies and constraints of spatio-temporal relationships fundamental to biological organization and function
Associate Professor for Bioinformation Engineering at Drexel University, Philadelphia and Director of the Biocomputing Laboratory at the Coriell Institute for Medical Research Professor of Bioinformatics at the University of Heidelberg and Director of the Division of Theoretical Bioinformatics at the German Cancer Research Center (DKFZ) in Heidelberg
Number Of Pages:
- ID: 9780124059269
2nd Revised edition
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