Description

Systems biology is a critical emerging field that quantifies and annotates the complexity of biological systems in order to construct algorithmic models to predict outcomes from component input. Applications in medicine are revolutionizing our understanding of biological processes and systems.

Systems Biomedicine is organized around foundations, computational modeling, network biology, and integrative biology, with the extension of examples from human biology and pharmacology, to focus on the applications of systems approaches to medical problems. An integrative approach to the underlying genomic, proteomic, and computational biology principles provides researchers with guidance in the use of qualitative systems and hypothesis generators. To reflect the highly interdisciplinary nature of the field, careful detail has been extended to ensure explanations of complex mathematical and biological principles are clear with minimum technical jargon.

Key Features

* Organized to reflect the important distinguishing characteristics of systems strategies in experimental biology and medicine * Provides precise and comprehensive measurement tools for constructing a model of the system and tools for defining complexity as an experimental dependent variable * Includes a thorough discussion of the applications of quantitative principles to biomedical problems

Readership

cell, molecular, and developmental biology, genetics/ genomics, mathematics, biotechnology, biological and chemical engineering, physiology, and bioinformatics researchers involved in systems biology studies; students of systems biology

Details

No. of pages:
448
Language:
English
Copyright:
© 2009
Published:
Imprint:
Academic Press
Print ISBN:
9780123725509
Electronic ISBN:
9780080919836

About the authors

Edison Liu

Affiliations and Expertise

Genome Institute of Singapore, Singapore

Douglas Lauffenburger

Affiliations and Expertise

Massachusetts Institute of Technology, Cambridge, MA, USA