Computational Systems Biology

Computational Systems Biology

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Description

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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Product details

  • Hardback | 424 pages
  • 152.4 x 228.6 x 25.4mm | 771.12g
  • Academic Press Inc
  • San Diego, United States
  • English
  • Approx. 150 illustrations
  • 012088786X
  • 9780120887866
  • 2,116,035

Table of contents

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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About Andres Kriete

Associate Professor for Bioinformation Engineering at Drexel University, Philadelphia and Director of the Biocomputing Laboratory at the Coriell Institute for Medical Research 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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