Team:USTC Software/home

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(New page: == About iGEM@USTC == The iGEM Team of USTC are the combination of the exact tradition of USTC and the exact vitality of the young. Rigorous daily schoolwork has provided the team members...)
(Welcome to the Team USTC_Software wiki for iGEM 2010 !)
 
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== About iGEM@USTC ==
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==Welcome to the Team USTC_Software wiki for iGEM 2010 !==
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The iGEM Team of USTC are the combination of the exact tradition of USTC and the exact vitality of the young. Rigorous daily schoolwork has provided the team members with a solid foundation of basic knowledge, and an innovative spirit enables us to stand on the frontier of the modern science.
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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.<br/>
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From left to right: Soimort Yao, Kun Jiang, Jue Wang, Zhen Wang, Chen Liao, Shangyu Luo, Zhengda He.
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Missing on the photo: Zhaoyi Li,Yubo Qi,Luojun Wang.
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[[image:Best Software Tool.PNG|730px|center]]
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==='''iGaME: Synthetic Biology for Gamers'''===
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In 2007, Jian Zhan, Bo Ding, Rui Ma, Xiaoyu Ma, Yun Zhao, Ziqing Liu and Xiaofeng Su, guided by Prof. Haiyan Liu, Prof. Jiarui Wu and Prof. Zhonghuai Hou, won the "Best Foundational Technology Prize" and a Gold Medal, with the project [http://parts.mit.edu/igem07/index.php/USTC "Extensible Logic Circuit in Bacteria"].
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To promote public awareness of synthetic biology and introduce its basic ideas to the laymen, our team is 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 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 Automatic Modeling Database Language, which enables descriptions of complicated biological processes. Additionally, previous iGEM project models will be featured to demonstrate the availability of our idea.
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In 2008, Xunyao Wu, He Shen, Genxin Liu, Jia Liu, Binjie Xu, Yanting Xue, Yu Chen, Zhen Xu, Bo Ding and Jian Zhan, guided by Prof. Haiyan Liu, won a [https://igem.org/Results Silver Medal], with the project [https://2008.igem.org/files/presentation/USTC.pdf "Artificial Multi-cellular Self-organization System"].
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[[Image:USTC_Software_igame.jpg|250px|center]]
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In 2009, Hao Jiang, Li Xing, Hao Wu, Zongxiao He, Danqian Liu, Chao Li, Jiayi Dou, Hanyu Lu, Hao Zhou and Bing Wu, guided by Zhaofeng Luo, Jian Zhan, Jiong Hong and Xiaoxiao Ma, won a [https://igem.org/Results Gold Medal], with the project [https://2009.igem.org/Team:USTC "E. coli Automatic Directed Evolution Machine (E.ADEM)"].
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==='''Recommendations For Our Site'''===
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*'''New Database Language'''<BR>
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A new language called '''MoDeL''' (Standard Biological Part Automatic 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.
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[[Team:USTC_Software/MoDeL|'''[Learn More]''']]
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In 2009 we also formed a software team for the first time. Wei Pan, Yuwei Cui, Jiahao Li, Yu He and Xiaomo Yao, guided by Bo Ding, also won a [https://igem.org/Results Gold Medal], with the Project [https://2009.igem.org/Team:USTC_Software "Automatic Biological Circuit Design (ABCD)"].
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*'''Demos of Automatic Modeling'''<BR>
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To show results of our program, some classical genetic regulatory networks are provided as demos, including toggle switch, repressilator as well as quorum-sensing oscillator. Each selected demo, representing a certain pattern of reaction network in biological process, is carefully designed to cover all our features as much as possible.
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[[Team:USTC_Software/downloads|'''[Learn More]''']]
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''Since last year we have accumulated some experience from the project of Automatic Biological Circuit Design (ABCD), we expect to develop a synthetic biology game this time. The game aims at teaching non-biologists how to design biological systems so that players can compete to improve their designs in order to help biologists create the best engineered machines!''
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*'''Human Practice'''<BR>
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We started a long term human practice, “the C project”, since this summer to explore the approaches of promotion of synthetic biology. “the C project”, as we call, consists of three parts: Curriculum, Communication and Community. All three parts are carefully designed and organized.
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''For more information, go to [http://biotech.ustc.edu.cn/forum/forumdisplay.php?fid=26 USTC iGEM Forum].''
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[[Team:USTC_Software/human_practice|'''[Learn More]''']]
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<img src="http://www3.clustrmaps.com/counter/index2.php?url=https://2010.igem.org/Team:USTC_Software" style="border:0px;" alt="Locations of visitors to this page" title="Locations of visitors to this page" id="clustrMapsImg" onerror="this.onerror=null; this.src='http://www2.clustrmaps.com/images/clustrmaps-back-soon.jpg'; document.getElementById('clustrMapsLink').href='http://www2.clustrmaps.com';" />
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Latest revision as of 03:29, 21 November 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.
From left to right: Soimort Yao, Kun Jiang, Jue Wang, Zhen Wang, Chen Liao, Shangyu Luo, Zhengda He.
Missing on the photo: Zhaoyi Li,Yubo Qi,Luojun Wang.

Best Software Tool.PNG



iGaME: Synthetic Biology for Gamers

To promote public awareness of synthetic biology and introduce its basic ideas to the laymen, our team is 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 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 Automatic Modeling Database Language, which enables descriptions of complicated biological processes. Additionally, previous iGEM project models will be featured to demonstrate the availability of our idea.

USTC Software igame.jpg

Recommendations For Our Site

  • New Database Language

A new language called MoDeL (Standard Biological Part Automatic 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

To show results of our program, some classical genetic regulatory networks are provided as demos, including toggle switch, repressilator as well as quorum-sensing oscillator. Each selected demo, representing a certain pattern of reaction network in biological process, is carefully designed to cover all our features as much as possible. [Learn More]

  • Human Practice

We started a long term human practice, “the C project”, since this summer to explore the approaches of promotion of synthetic biology. “the C project”, as we call, consists of three parts: Curriculum, Communication and Community. All three parts are carefully designed and organized. [Learn More]