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iGaME: Synthetic Biology for Gamers
The USTC_Software 2010 team attempts to take synthetic biology modeling a step further by introducing new methods for automatic modeling of biological systems. Just as automation implies, users are only required to submit their assembling of parts for our program to discover and generate the biological model automatically. Being the first-ever team trying to develop a synthetic biology automatic modeling tool, we emphasize on genetic regulatory network at the first year and develop our software tool, iGame, which will assist in the design of genetic function modules for biological systems in synthetic biology.
Automatic modeling
To promote public awareness of synthetic biology and introduce its basic ideas to the laymen, our team devoted to the development of an experimental video game which aims at instructing non-biologists to design and improve biological systems. Following the games-with-a-purpose paradigm in which players help solve scientific problems, we attempt to apply the human brain's puzzle-solving abilities to the complex designs of biological systems. While most of developed simulation tools are designed for experts to model the reaction networks from scratch, our game integrates a modeling environment in which users only need to submit their assembling of parts for our program to discover and generate the biological model automatically. With a mass of data for the use of modeling, we propose the Standard Biological Parts Modeling Database Language, which enables descriptions of complicated biological processes. Furthermore, previous iGEM project models will be featured to demonstrate the availability of our idea.
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Source Code
The source code of our project is available now at [http://github.com/jkdirac/igame igame] in github.
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