Computational Systems Biology

  • ID: 1758818
  • Book
  • 424 Pages
  • Elsevier Science and Technology
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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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SECTION CONTENTS
I. Enabling Information and Integration Technologies for Systems Biology
II. Foundations of Biochemical Network Analysis and Modeling
III. Computer Simulations of Dynamic Networks
IV. Multi-Scale Representations of Cells and Emerging Phenotypes
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Kriete, Andres
Associate Professor for Bioinformation Engineering at Drexel University, Philadelphia and Director of the Biocomputing Laboratory at the Coriell Institute for Medical Research
Eils, Roland
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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