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Other titles in the Chapman and Hall/CRC Mathematical & Computational Biology series:

Chapman and Hall/CRC Mathematical & Computational Biology #10: An Introduction to Systems Biology: Design Principles of Biological Circuits

by

Chapman and Hall/CRC Mathematical & Computational Biology #10: An Introduction to Systems Biology: Design Principles of Biological Circuits Cover

 

Synopses & Reviews

Publisher Comments:

Thorough and accessible, this book presents the design principles of biological systems, and highlights the recurring circuit elements that make up biological networks. It provides a simple mathematical framework which can be used to understand and even design biological circuits. The textavoids specialist terms, focusing instead on several well-studied biological systems that concisely demonstrate key principles. An Introduction to Systems Biology: Design Principles of Biological Circuits builds a solid foundation for the intuitive understanding of general principles. It encourages the reader to ask "why" a system is designed in a particular way and then proceeds to answer with simplified models.

Book News Annotation:

Because it has evolved to perform functions, biological circuitry has a defined set of circuit elements that obey general design principles. This text for advanced biology students highlights some of the design principles of biological systems and provides a mathematical framework for understanding biological networks. Early chapters deal with transcription regulation networks, while later ones explore the principle of robustness and discuss constrained evolutionary optimization. Alon is affiliated with the Weizmann Institute of Science in Rehovot, Israel. Annotation ©2007 Book News, Inc., Portland, OR (booknews.com)

Synopsis:

This book presents recently discovered design principles that govern the structure and behavior of biological networks such as gene circuits, highlighting simple, recurring circuit elements that make up the network. It provides a quantitative theory for which circuits are found in a given environment and a mathematical framework for understanding and even designing biological circuits. The book requires only basic mathematics and includes a review of the necessary background material. It fills a significant need for a textbook and introduction to the concepts, principles, and mathematical tools that will form the basis of future developments in the field.

Product Details

ISBN:
9781584886426
Author:
Alon, Uri
Publisher:
Chapman & Hall/CRC
Author:
Alon, Alon
Subject:
Physics
Subject:
Applied
Subject:
Mathematical models
Subject:
Biotechnology
Subject:
Biological systems
Subject:
Computational Biology
Subject:
Systems Biology
Subject:
Biology-General
Series:
Chapman and Hall/CRC Mathematical & Computational Biology
Series Volume:
10
Publication Date:
20060731
Binding:
TRADE PAPER
Language:
English
Illustrations:
Y
Pages:
300
Dimensions:
10.04x7.06x.73 in. 1.28 lbs.

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Related Subjects

Computers and Internet » Networking » General
Science and Mathematics » Biology » General
Science and Mathematics » Mathematics » Applied
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Science and Mathematics » Mathematics » Probability and Statistics » Statistics
Science and Mathematics » Physics » General
Textbooks » General

Chapman and Hall/CRC Mathematical & Computational Biology #10: An Introduction to Systems Biology: Design Principles of Biological Circuits New Trade Paper
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$77.25 In Stock
Product details 300 pages Chapman & Hall/CRC - English 9781584886426 Reviews:
"Synopsis" by , This book presents recently discovered design principles that govern the structure and behavior of biological networks such as gene circuits, highlighting simple, recurring circuit elements that make up the network. It provides a quantitative theory for which circuits are found in a given environment and a mathematical framework for understanding and even designing biological circuits. The book requires only basic mathematics and includes a review of the necessary background material. It fills a significant need for a textbook and introduction to the concepts, principles, and mathematical tools that will form the basis of future developments in the field.
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