9781584886426-1584886420-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)

ISBN-13: 9781584886426
ISBN-10: 1584886420
Edition: 1
Author: Uri Alon
Publication date: 2006
Publisher: Chapman and Hall/CRC
Format: Paperback 320 pages
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Book details

ISBN-13: 9781584886426
ISBN-10: 1584886420
Edition: 1
Author: Uri Alon
Publication date: 2006
Publisher: Chapman and Hall/CRC
Format: Paperback 320 pages

Summary

An Introduction to Systems Biology: Design Principles of Biological Circuits (Chapman & Hall/CRC Mathematical and Computational Biology) (ISBN-13: 9781584886426 and ISBN-10: 1584886420), written by authors Uri Alon, was published by Chapman and Hall/CRC in 2006. With an overall rating of 3.8 stars, it's a notable title among other Biotechnology (Biological Sciences, Physics) books. You can easily purchase or rent An Introduction to Systems Biology: Design Principles of Biological Circuits (Chapman & Hall/CRC Mathematical and Computational Biology) (Paperback) from BooksRun, along with many other new and used Biotechnology books and textbooks. And, if you're looking to sell your copy, our current buyback offer is $4.18.

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.

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