This comprehensively revised new edition of the classic work Computational Systems Biology 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; and selected contributions include bottom-up strategies that predict emergent biological properties, top-down concepts that elucidate form and function, as well as advanced applications including clinical, translational systems biology.
Computational Systems Biology offers a logical information flow that aids understanding of basic building blocks of life through disease phenotypes. It gives insight into underlying organizational principles of biological organizations, and systems processes, governing functions such as adaptation or response patterns through evolved principles.
Computational Systems Biology includes coverage of technical tools and systems helps researchers to understand and resolve specific systems biology problems using advanced computation. It features multi-scale modeling on disparate scales which aids researchers in understanding dependencies and constraints of spatio-temporoal relationships fundamental to biological organization and function.