Books  Data Analysis & Modelling  Computing for the Natural Sciences 

Computational Systems Biology: From Molecular Mechanisms to Disease

By: Andres Kriete (Editor), Roland Eils (Editor)

464 pages, ~150 illustrations

Academic Press

Hardback | Jan 2014 | Edition: 2 | #207279 | ISBN-13: 9780124059269
Availability: Usually dispatched within 1 week Details
NHBS Price: £94.99 $121/€113 approx

About this book

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.
 


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