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This text 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 design new circuits. The author reviews basic molecular biology and biochemistry principles, covers several methods for modeling and analyzing genetic circuits, and uses phage lambda as an example throughout to help illustrate the methods. He also explores the emerging area of synthetic biology. iBioSim software, lecture slides, and a password-protected solutions manual are available on the author's website.
This text presents the modeling, analysis, and design methods for systems biology. It discusses how to examine experimental data to learn about mathematical mod
An Introduction to Systems Bioengineering Takes a Clear and Systematic Engineering Approach to Systems Biology Focusing on genetic regulatory networks, Engineer
Many potential applications of synthetic and systems biology are relevant to the challenges associated with the detection, surveillance, and responses to emergi
This volume provides clear and direct protocols to implement automated Design-Build-Test-Learn (DBTL) into synthetic biology research. Chapters detail technique
This textbook introduces readers to the recent advances in the emerging field of genetic design automation (GDA). Starting with an introduction and the basic co
