Genetic Design Automation : A Practical Approach for the Analysis, Verification and Synthesis of Genetic Logic Circuits
2020 ed.
Book Details
Format
Paperback / Softback
ISBN-10
3030523578
ISBN-13
9783030523572
Edition
2020 ed.
Publisher
Springer Nature Switzerland AG
Imprint
Springer Nature Switzerland AG
Country of Manufacture
GB
Country of Publication
GB
Publication Date
Sep 27th, 2021
Print length
164 Pages
Weight
294 grams
Dimensions
15.50 x 23.40 x 1.20 cms
Product Classification:
Biomedical engineeringBiology, life sciencesCircuits & componentsComputer science
Ksh 8,100.00
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Next, the book presents the GeneTech tool (A technology mapping tool for genetic circuits) and the methods developed for optimization, synthesis, and technology mapping of genetic circuits. The concepts and algorithms are thoroughly described, enabling readers to improve the tools or use them as a starting point to develop new tools.
This textbook introduces readers to the recent advances in the emerging field of genetic design automation (GDA). Starting with an introduction and the basic concepts of molecular biology, the authors provide an overview of various genetic design automation tools. The authors then present the DVASim tool (Dynamic Virtual Analyzer and Simulator) which is used for the analysis and verification of genetic logic circuits. This includes methods and algorithms for the timing and threshold value analyses of genetic logic circuits. Next, the book presents the GeneTech tool (A technology mapping tool for genetic circuits) and the methods developed for optimization, synthesis, and technology mapping of genetic circuits. Chapters are followed by exercises which give readers hands-on practice with the tools presented. The concepts and algorithms are thoroughly described, enabling readers to improve the tools or use them as a starting point to develop new tools. Both DVASim and GeneTech are available from the developer''s website, free of charge.This book is intended for a multidisciplinary audience of computer scientists, engineers and biologists. It provides enough background knowledge for computer scientists and engineers, who usually do not have any background in biology but are interested to get involved in this domain. This book not only presents an accessible basic introduction to molecular biology, it also includes software tools which allow users to perform laboratory experiments in a virtual in-silico environment. This helps newbies to get a quick start in understanding and developing genetic design automation tools. The third part of this book is particular useful for biologists who usually find it difficult to grasp programming and are reluctant to developing computer software. They are introduced to the graphical programming language, LabVIEW, from which they can start developing computer programs rapidly. Readers are further provided with small projects which will help them to start developing GDA tools.
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