Computational Systems Biology |  | Creators: Andres Kriete, Roland Eils
Publisher: Academic Press
List Price: $160.00
Buy New: $112.10
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Rating:  1 reviews
Sales Rank: 1420210
Media: Hardcover
Edition: 1
Pages: 424
Number Of Items: 1
Shipping Weight (lbs): 1.7
Dimensions (in): 9 x 6 x 1
ISBN: 012088786X
Dewey Decimal Number: 570.113
EAN: 9780120887866
ASIN: 012088786X
Publication Date: November 8, 2005
Availability: Usually ships in 1-2 business days
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Product 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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| Customer Reviews:
A great compilation of new Systems Biology concepts and tools December 21, 2005
Babatunde Ogunnaike
8 out of 9 found this review helpful
This book is a worthy successor to the well-received "Foundations of Systems Biology" edited by Kitano in 2001. That earlier book provided, under a single cover, Kitano's perspective of the central aspects of this emerging field. Five years hence, many things have changed in this fast evolving field, but the changes have been more in terms of the increased volume and improved clarity of detail of the constituents of the central core topics rather than in the core topics themselves. In this edited volume, Dr. Kriete and Dr. Eils have provided the Systems Biology community with a timely update of the central topics of systems biology, emphasizing computational tools and bioinformatics, and showcasing newer modeling, simulation and analysis techniques such as multi-scale modeling and analysis. I highly recommend this book to anyone interested in a broad but carefully presented overview of the current state of the art in computational systems biology; it should also become an invaluable part of the library of anyone engaged in systems biology research.
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