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The book deals with engineering aspects of the two emerging and intertwined fields of synthetic and systems biology. Both fields hold promise to revolutionize the way molecular biology research is done, the way today’s drug discovery works and the way bio-engineering is done. Both fields stress the importance of building and characterizing small bio-molecular networks in order to synthesize incrementally and understand large complex networks inside living cells. Reminiscent of computer-aided design (CAD) of electronic circuits, abstraction is believed to be the key concept to achieve this goal. It allows hiding the overwhelming complexity of cellular processes by encapsulating network parts into abstract modules. This book provides a unique perspective on how concepts and methods from CAD of electronic circuits can be leveraged to overcome complexity barrier perceived in synthetic and systems biology.
Synthetic biology encompasses a variety of different approaches, methodologies and disciplines, and many different definitions exist. This Volume of Methods in Enzymology has been split into 2 Parts and covers topics such as Measuring and Engineering Central Dogma Processes, Mathematical and Computational Methods and Next-Generation DNA Assembly and Manipulation. - Encompasses a variety of different approaches, methodologies and disciplines - Split into 2 parts and covers topics such as measuring and engineering central dogma processes, mathematical and computational methods and next-generation DNA assembly and manipulation
This book constitutes the refereed proceedings of the International Symposium on Bioinformatics Research and Applications, ISBRA 2012, held in Dallas, Texas, USA, in May 2012. The 26 revised full papers presented together with five invited talks were carefully reviewed and selected from 66 submissions. The papers address issues on various aspects of bioinformatics and computational biology and their applications.
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Synthetic biology encompasses a variety of different approaches, methodologies and disciplines and many different definitions exist. This volume covers topics such as measuring and engineering central dogma processes, mathematical and computational methods and next-generation DNA assembly and manipulation.
The demands of increasingly complex embedded systems and associated performance computations have resulted in the development of heterogeneous computing architectures that often integrate several types of processors, analog and digital electronic components, and mechanical and optical components—all on a single chip. As a result, now the most prominent challenge for the design automation community is to efficiently plan for such heterogeneity and to fully exploit its capabilities. A compilation of work from internationally renowned authors, Model-Based Design for Embedded Systems elaborates on related practices and addresses the main facets of heterogeneous model-based design for embedded ...