Engineering Genetic Circuits / Edition 1

by Chris J. Myers

Overview

An Introduction to Systems Bioengineering
Takes a Clear and Systematic Engineering Approach to Systems Biology

Focusing on genetic regulatory networks, Engineering Genetic Circuits presents the modeling, analysis, and design methods for systems biology. It discusses how to examine experimental data to learn about mathematical models, develop efficient abstraction and simulation methods to analyze these models, and use analytical methods to guide the design of new circuits.

After reviewing the basic molecular biology and biochemistry principles needed to understand genetic circuits, the book describes modern experimental techniques and methods for discovering genetic circuit models from the data generated by experiments. The next four chapters present state-of-the-art methods for analyzing these genetic circuit models. The final chapter explores how researchers are beginning to use analytical methods to design synthetic genetic circuits.

This text clearly shows how the success of systems biology depends on collaborations between engineers and biologists. From biomolecular observations to mathematical models to circuit design, it provides essential information on genetic circuits and engineering techniques that can be used to study biological systems.

Editorial Reviews

From the Publisher

"This book by Professor Myers is one of the few texts in the area that gently brings the uninitiated to these edges. I congratulate him for his achievement—Engineering Genetic Circuits admirably touches on much of the ‘required’ knowledge while creating a minimal toolset with which beginning students can confidently venture into this exciting new territory of systems biology."
—From the Foreword, Adam Arkin, University of California, Berkeley, USA

"Prof. Myers’ book will be an excellent reference for any course in systems biology … . I find the many illustrations (worked-out examples and ample number of figures) and exercises at the end of each chapter quite useful and important."
—Baltazar Aguda, The Ohio State University, Columbus, USA

Product Details

ISBN-13:	9781420083255
Publisher:	CRC Press
Publication date:	04/19/2016
Series:	Chapman & Hall/CRC Mathematical and Computational Biology , #26
Pages:	306