An Introduction to Systems Biology: Design Principles of Biological Circuits
Praise for the first edition:

superb, beautifully written and organized work that takes an engineering approach to systems biology. Alon provides nicely written appendices to explain the basic mathematical and biological concepts clearly and succinctly without interfering with the main text. He starts with a mathematical description of transcriptional activation and then describes some basic transcription-network motifs (patterns) that can be combined to form larger networks. – Nature

[This text deserves] serious attention from any quantitative scientist who hopes to learn about modern biology … It assumes no prior knowledge of or even interest in biology … One final aspect that must be mentioned is the wonderful set of exercises that accompany each chapter. … Alon’s book should become a standard part of the training of graduate students. – Physics Today

Written for students and researchers, the second edition of this best-selling textbook continues to offer a clear presentation of design principles that govern the structure and behavior of biological systems. It highlights simple, recurring circuit elements that make up the regulation of cells and tissues. Rigorously classroom-tested, this edition includes new chapters on exciting advances made in the last decade.

Features:

  • Includes seven new chapters
  • The new edition has 189 exercises, the previous edition had 66
  • Offers new examples relevant to human physiology and disease

The book website including course videos can be found here: https://www.weizmann.ac.il/mcb/UriAlon/introduction-systems-biology-design-principles-biological-circuits.

1136790542
An Introduction to Systems Biology: Design Principles of Biological Circuits
Praise for the first edition:

superb, beautifully written and organized work that takes an engineering approach to systems biology. Alon provides nicely written appendices to explain the basic mathematical and biological concepts clearly and succinctly without interfering with the main text. He starts with a mathematical description of transcriptional activation and then describes some basic transcription-network motifs (patterns) that can be combined to form larger networks. – Nature

[This text deserves] serious attention from any quantitative scientist who hopes to learn about modern biology … It assumes no prior knowledge of or even interest in biology … One final aspect that must be mentioned is the wonderful set of exercises that accompany each chapter. … Alon’s book should become a standard part of the training of graduate students. – Physics Today

Written for students and researchers, the second edition of this best-selling textbook continues to offer a clear presentation of design principles that govern the structure and behavior of biological systems. It highlights simple, recurring circuit elements that make up the regulation of cells and tissues. Rigorously classroom-tested, this edition includes new chapters on exciting advances made in the last decade.

Features:

  • Includes seven new chapters
  • The new edition has 189 exercises, the previous edition had 66
  • Offers new examples relevant to human physiology and disease

The book website including course videos can be found here: https://www.weizmann.ac.il/mcb/UriAlon/introduction-systems-biology-design-principles-biological-circuits.

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An Introduction to Systems Biology: Design Principles of Biological Circuits

An Introduction to Systems Biology: Design Principles of Biological Circuits

by Uri Alon
An Introduction to Systems Biology: Design Principles of Biological Circuits

An Introduction to Systems Biology: Design Principles of Biological Circuits

by Uri Alon

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$79.99 
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Overview

Praise for the first edition:

superb, beautifully written and organized work that takes an engineering approach to systems biology. Alon provides nicely written appendices to explain the basic mathematical and biological concepts clearly and succinctly without interfering with the main text. He starts with a mathematical description of transcriptional activation and then describes some basic transcription-network motifs (patterns) that can be combined to form larger networks. – Nature

[This text deserves] serious attention from any quantitative scientist who hopes to learn about modern biology … It assumes no prior knowledge of or even interest in biology … One final aspect that must be mentioned is the wonderful set of exercises that accompany each chapter. … Alon’s book should become a standard part of the training of graduate students. – Physics Today

Written for students and researchers, the second edition of this best-selling textbook continues to offer a clear presentation of design principles that govern the structure and behavior of biological systems. It highlights simple, recurring circuit elements that make up the regulation of cells and tissues. Rigorously classroom-tested, this edition includes new chapters on exciting advances made in the last decade.

Features:

  • Includes seven new chapters
  • The new edition has 189 exercises, the previous edition had 66
  • Offers new examples relevant to human physiology and disease

The book website including course videos can be found here: https://www.weizmann.ac.il/mcb/UriAlon/introduction-systems-biology-design-principles-biological-circuits.


Product Details

ISBN-13: 9781439837177
Publisher: Taylor & Francis
Publication date: 08/01/2019
Series: Chapman & Hall/CRC Computational Biology Series
Pages: 342
Product dimensions: 7.00(w) x 10.00(h) x (d)

About the Author

Uri Alon is the Abisch-Frenkel professor of systems biology at the Weizmann Institute of Science; https: //www.weizmann.ac.il/mcb/UriAlon/homepage

Table of Contents

Part 1: Network Motifs. 1. Transcription Networks: Basic Concepts. 2. Autoregulation: A Network Motif. 3. The Feedforward Loop Network Motif. 4. Temporal Programs and the Global Structure of Transcription Networks. 5. Positive Feedback, Bistability, and Memory. 6. How to Build a Biological Oscillator. Part 2: Robustness. 7. Kinetic Proofreading and Conformational Proofreading. 8. Robust Signaling by Bifunctional Components. 9. Robustness and Bacterial Chemotaxis. 10. Fold-Change Detection. 11. Dynamical Compensation and Mutant Resistance in Tissues. 12. Robust Spatial Patterning in Development. Part 3: Optimality. 13. Optimal Gene Circuit Design. 14. Multi-Objective Optimality in Biology. 15. Modularity. Appendix A: The Input Functions of Genes: Michaelis-Menten and Hill Equations. Appendix B: Multi-Dimensional Input Functions. Appendix C: Graph Properties of Transcription Networks. Appendix D. Noise in Gene Expression.

What People are Saying About This

From the Publisher

"[This text deserves] serious attention from any quantitative scientist or physicist who hopes to learn about modern biology. [It is] well written. … Alon’s book is the better place for physicists to start. It assumes no prior knowledge of or even interest in biology. Yet right from chapter 1, the author succeeds in explaining in an intellectually exciting way what the cell does and what degrees of freedom enable it to function. … The book proceeds with detailed discussions of some of the key network motifs, circuit-element designs … [and] focuses on concrete examples such as chemotaxis and developmental pattern formation. … He draws the detailed strands together into an appealing and inspiring overview of biology. … One final aspect that must be mentioned is the wonderful set of exercises that accompany each chapter. … Alon’s book should become a standard part of the training of graduate students in biological physics… ."
—Nigel Goldenfeld, University of Illinois at Urbana-Champaign, Physics Today, June 2007

"…a superb, beautifully written and organized work that takes an engineering approach to systems biology. Alon provides nicely written appendices to explain the basic mathematical and biological concepts clearly and succinctly without interfering with the main text. He starts with a mathematical description of transcriptional activation and then describes some basic transcription-network motifs (patterns) that can be combined to form larger networks. … Alon investigates networks at a higher level, including genomic regulatory networks. He does an excellent job of explaining and motivating a useful toolbox of engineering models and methods using network-based controls. … will be a valuable and non-overlapping addition to a systems-biology curriculum."
—Eric Werner, Department of Physiology, Anatomy and Genetics, University of Oxford, Nature, Vol. 446, No. 29, March 2007

"I read Uri Alon’s elegant book almost without stopping for breath. He perceives and explains so many simple regularities, so clearly, that the novice reading this book can move on immediately to research literature, armed with a grasp of the many connections between diverse phenomena."
—Philip Nelson, Professor of Physics, University of Pennsylvania, Philadelphia, USA

"… Beyond simply recounting recent results, Alon boldly articulates the basic principles underlying biological circuitry at different levels and shows how powerful they can be in understanding the complexity of living cells. For anyone who wants to understand how a living cell works, but thought they never would, this book is essential."
—Michael B. Elowitz, California Institute of Technology, Pasadena, USA

"Uri Alon offers a highly original perspective on systems biology, emphasizing the function of certain simple networks that appear as ubiquitous building blocks of living matter. The quest for simplicity — without losing contact with complex reality — is the only way to uncover the principles organizing biological systems. Alon writes with uncommon lucidity…"
—Boris Shraiman, University of California, Santa Barbara, USA

"This is a remarkable book that introduces not only a field but a way of thinking. Uri Alon describes in an elegant, simple way how principles such as stability, robustness and optimal design can be used to analyze and understand the evolution and behavior of living organisms. Alon’s clear intuitive language and helpful examples offer — even to a mathematically naive reader — deep mathematical insights into biology. The community has been waiting for this book; it was worth the wait."
—Galit Lahav, Harvard Medical School, Boston, Massachusetts, USA

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