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An Introduction to Systems biology: Design Principles of Biological Circuits

Publisher-supplied data] 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 fo...

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Bibliographic Details
Main Author: Uri Alon
Format: Printed Book
Published: Boca Raton, FL Chapman & Hall/CRC 2007
Series:Chapman and Hall/CRC mathematical & computational biology series, 10.
Subjects:
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100 |a  Uri Alon 
245 |a An Introduction to Systems biology: Design Principles of Biological Circuits 
260 |a  Boca Raton, FL   |b  Chapman & Hall/CRC  |c 2007 
300 |a  xvi, 301 p., [4] p. of plates : ill. (some col.) ; 26 cm. 
490 |a  Chapman and Hall/CRC mathematical & computational biology series, 10.  
505 |a  Ch. 1. Introduction -- Ch. 2. Transcription networks : basic concepts -- Ch. 3. Autoregulation : a network motif -- Ch. 4. The feed-forward loop network motif -- Ch. 5. Temporal programs and the global structure of transcription networks -- Ch. 6. Network motifs in developmental, signal transduction, and neuronal networks -- Ch. 7. Robustness of protein circuits : the example of bacterial chemotaxis -- Ch. 8. Robust patterning in development -- Ch. 9. Kinetic proofreading -- Ch. 10. Optimal gene circuit design -- Ch. 11. Demand rules for gene regulation -- Ch. 12. Epilogue : simplicity in biology. 
520 |a Publisher-supplied data] 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. 
650 |a  Systems biology. Computational biology. Biological systems -- Mathematical models.  
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