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

An Introduction to Systems Biology: Design Principles of Biological Circuits (Chapman & Hall/Crc Mathematical and Computational Biology) Book Summary
Author: Uri Alon
Edition: Paperback
Audio: English (Original Language); English (Unknown); English (Published)
Published: 2006-07-07
ISBN: 1584886420
Number of pages: 320
Publisher: Chapman & Hall/CRC
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
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Book Reviews of the An Introduction to Systems Biology: Design Principles of Biological Circuits (Chapman & Hall/Crc Mathematical and Computational Biology)

Customer Review: Excellent serious book about biology -- no chemistry needed.
Summary: 5 Stars

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.
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