Computational Systems Biology

This comprehensively revised new edition reviews fundamentals and recent breakthroughs in computational simulation and multi-scale analysis techniques across biological systems, with new chapters covering complex systems and emerging phenotypes.

Key Features

Logical information flow aids understanding of basic building blocks of life through disease phenotypes
Evolved principles gives insight into underlying organizational principles of biological organizations, and systems processes, governing functions such as adaptation or response patterns
Coverage of technical tools and systems helps researchers to understand and resolve specific systems biology problems using advanced computation
Multi-scale modeling on disparate scales aids researchers understanding of dependencies and constraints of spatio-temporal relationships fundamental to biological organization and function.

Description

This comprehensively revised second edition of 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.

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