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An Introduction to Systems Biology: Design Principles of Biological Circuits (Chapman & Hall/Crc Mathematical and Computational Biology)

An Introduction to Systems Biology: Design Principles of Biological Circuits (Chapman & Hall/Crc Mathematical and Computational Biology)
Author: Uri Alon
Publisher: Chapman & Hall/CRC
Category: Book

List Price: $54.95
Buy New: $43.96
You Save: $10.99 (20%)



New (26) Used (11) from $43.96

Avg. Customer Rating: 5.0 out of 5 stars 5 reviews
Sales Rank: 53129

Media: Paperback
Edition: 1
Number Of Items: 1
Pages: 320
Shipping Weight (lbs): 1.3
Dimensions (in): 9.8 x 7 x 0.7

ISBN: 1584886420
Dewey Decimal Number: 570.285
EAN: 9781584886426
ASIN: 1584886420

Publication Date: July 7, 2006
Shipping: Eligible for Super Saver Shipping
Availability: Usually ships in 24 hours

Accessories:

  • Introduction to Computational Biology: Maps, Sequences and Genomes (Interdisciplinary Statistics)
  • Stochastic Modelling for Systems Biology (Mathematical and Computational Biology)
  • Data Analysis Tools for DNA Microarrays

Similar Items:

  • Evolutionary Dynamics: Exploring the Equations of Life
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  • The Regulatory Genome: Gene Regulatory Networks In Development And Evolution
  • Biology of Cancer
  • System Modeling in Cellular Biology: From Concepts to Nuts and Bolts

Editorial Reviews:

Product Description
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.


Customer Reviews:

5 out of 5 stars Excellent serious book about biology -- no chemistry needed.   July 23, 2008
 6 out of 6 found this review helpful

This is a great book for learning about how biology works. I've been wanting to learn a bit more about biology, and I've read many of the popularized science books on the subject. Most serious biology books require a pretty good understanding of organic chemistry. (At first that didn't seem like a problem, after all organic chemistry is just regular chemistry with a bunch of carbon atoms lying around, but the jargon gets so dense that you lose track of what's going on.) This book offers an entirely different perspective on biology that is much more accessible to someone with a general interest in science.

This book looks at biology from the perspective of how genes and proteins interact at a network level, rather than a chemical level. It's a lot like learning electronics -- you can understand a lot about a transistor without knowing how semiconductors work. After explaining the operation of some of the most common network "motifs" the author talks about why those motifs were favored by evolution, in particular what makes them robust and how can they act to minimize errors. The book leaves you with the very interesting question of what characteristics might be different between an engineered system and an evolved one?

The language of the book is very clear, this is a technical book you could easily read for fun. The math is simple, just a little calculus, and if you don't care about the math you can just look at the diagrams.



5 out of 5 stars Excellent stuff!   December 28, 2007
 4 out of 5 found this review helpful

I am a macromolecular crystallographer interested in theoretical systems biology, and this book is a real goldmine. It explains all the concepts behind biochemical systems and networks in a clear, lucid language. This book is a pleasure to read, for both biologists and mathematicians alike.


5 out of 5 stars Clear, rigorous, fascinating   January 20, 2007
 16 out of 18 found this review helpful

I'm a Ph.D. student in biophysics. This is the best treatment of systems biology that I've encountered. It treats both the math and the biology with clarity, rigor, and respect. It simplifies without dumbing down. It's beautifully written. If you doubt that systems biology is a real scientific discipline, this book will change your mind.


5 out of 5 stars Building Mathematical Models of Cells   September 24, 2006
 17 out of 32 found this review helpful

The history of science over the past few centuries is to become ever more specialized. The physicists, becomming ever more concerned with the very large (stars, galaxies, the cosmos) or the very tiny (first atoms, then atomic components, now sub-components. The biologists on the other hand were studying much larger things, such as the cells that make up life. Both sciences developed techniques to facilitate their study.

In recent years, researchers have discovered that sometimes these specialized techniques can be used to develop greater insight into what is happening in other sciences.

In this book, Dr. Alon uses his training in physics to examine certain aspects of biology and to use the terminology and mathematics to describe the way these biological networks work.

The goal of the book is to begin the formulation of general laws that apply to biological networks. This is done by providing a mathematical framework in which some of the design principles of biological systems can help to understand biological networks. In looking at the results, an underlying simplicity not seen before appears in biological systems.



5 out of 5 stars Great Job   September 8, 2006
 20 out of 27 found this review helpful

A superb intro to the field. The math is moderate and helpful. Network concepts and their ties to examples and theory are clearly and succinctly presented. This is a textbook but reads easily like a book. Covers key elements while connecting them by at least mention to up-to-date further research. The basics and the grandeur of systems biology. I am trying to remember now anything on the negative side and cannot.

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