Computational Systems Biology

ISBN 13: 9780120887866

Computational Systems Biology

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9780120887866: Computational Systems Biology
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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.

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Focused on the function of a system as a whole at the molecular, cellular, and tissue levels

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Computational systems biology is a field that aims to develop a systems level understanding of biological processes using computational techniques. This book presents a timely compendium of the state-of-the-art in this new era of biological understanding. A distinguished group of contributors reviews bioinformation engineering and data integration technologies along with biomedical applications. Different computational approaches to model and simulate biological systems are discussed. Current computational research efforts, comprehensively covered in this volume, are focused on regulatory, signaling and metabolic networks. As an exciting outlook new concepts for computer representations on multi-scales predicting emergent properties of biological systems are introduced.
Andres Kriete is Associate Professor for Bioinformation Engineering at Drexel University, Philadelphia and Director of the Biocomputing Laboratory at the Coriell Institute for Medical Research.

Roland Eils is 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.

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