Team:USTC Software/home

From 2010.igem.org

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(iGaME: Synthetic Biology for Gamers)
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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.
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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Revision as of 16:38, 21 October 2010


Welcome to the Team USTC_Software wiki for iGEM 2010 !

We are a team of both undergraduate and graduate students along with many advisors. This is the second year that USTC has sent a software team to iGEM.

横着放一张照片。


iGaME: Synthetic Biology for Gamers

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.

USTC Software igame.jpg

Recommondations For Our Site

  • New Database Language

A new language called MoDeL(System Biology Part Modeling Database Language) is proposed for automatic modeling of biological system. Due to introducing of novel concepts of species and reaction templates, which are two main components in MoDeL, interactions between species need not to be completely provided and thus making automation possible.
[Learn More].


  • Demos of Automatic Modeling

Our original AND Gate is from Voigt Lab. We make it into standard parts and use a combination of promoter, which leads to several AND Gates that has different properties. The most wonderful thing in the summer holiday that we achieved a greatly improved AND Gate.
[Learn More].


  • Human Practice

The most difficult work in the construction of a multi-Module system is assembly. After we have accomplished all the individual modules from Jul to Sept, we made a breakthrough during the National Day (we did experiments during the holiday). That is the first stage assembly is accomplished.
[Learn More].

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