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Zusatztext "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 Informationen zum Autor Chris J. Myers is a professor in the Department of Electrical and Computer Engineering at the University of Utah. A co-inventor on four patents and author of more than 80 technical papers and the textbook Asynchronous Circuit Design , Dr. Myers received an NSF Fellowship in 1991 and an NSF CAREER award in 1996. His research interests include formal verification, asynchronous circuit design, and the analysis and design of genetic regulatory circuits. Klappentext Highlighting modeling, analysis, and design methods for systems biology, this book 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. It reviews basic molecular biology and biochemistry principles, covers several methods for modeling and analyzing genetic circuits, and uses phage lambda as an example throughout. It 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. Zusammenfassung Presents the modeling, analysis and design methods for systems biology. This work 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. Inhaltsverzeichnis An Engineer’s Guide to Genetic Circuits. Learning Models. Differential Equation Analysis. Stochastic Analysis. Reaction-Based Abstraction. Logical Abstraction. Genetic Circuit Design. Solutions to Selected Problems. References. Glossary. Index. ...
