Introduction to the Special Issue on Computational Synthetic Biology
Year: 2014
Type: editorial
Abstract: The goal of this special issue is to introduce the field of computational synthetic biology to engineers and computer scientists. The first article gives an introduction to the key biological principles and experimental techniques that support synthetic biology, and it draws analogies with the computing field. This issue also includes five original research articles in computational synthetic biology. The first research article discusses how standards can be used to modularize the design process for genetic circuits. The next two articles introduce new abstraction techniques to improve the efficiency of analysis of genetic circuit models. The last two articles introduce new design techniques that help decouple design from construction. We hope this sampling from the field will help to motivate others to join this exciting and rich area of research.
DOI: 10.1145/2668126
Authors: Chris J. Myers, Herbert Sauro, Anil Wipat
Institutions: University of Utah, University of Washington, Newcastle University
Language: English
Subfield: Molecular Biology
Domain: Life Sciences
Open Access status: green
OpenAlex ID: W2154303652