Team:HZAU-China/Achievements
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- | 5. We have finished the description of each project clearly attribute work done by the students and distinguish it from work done by others, including host labs, advisors, instructors, sponsors, professional website designers, artists, and commercial services. You can see it in our <a href="https://2014.igem.org/Team:HZAU-China/Attributions"><span style="font-weight:bold;"> | + | 5. We have finished the description of each project clearly attribute work done by the students and distinguish it from work done by others, including host labs, advisors, instructors, sponsors, professional website designers, artists, and commercial services. You can see it in our <span style="font-weight:bold;"><a href="https://2014.igem.org/Team:HZAU-China/Attributions">attribution</a></span> & <span style="font-weight:bold;"><a href="https://2014.igem.org/Team:HZAU-China/acknowledgment">acknowledgement</a></span>. |
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Revision as of 11:38, 17 October 2014
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Judgement
We apply for a Gold Medal, Best Information Processing Project, Best Model, Best Policy &Practices Project.
As for the Gold Medal
We have done those requirements below:
As for Best Information Processing Project:
Conventional engineered circuits in cells have only a simple regulatory network to process information. Once the environment changed, the approach to handle the information might be invalid. We adopted an elegant means of systems integration to make the cells have adaptability and work well in complex environments. Our engineered cells can use different approaches to process information according to the environment; meanwhile we overcame some common challenges like host overload and crosstalk.
As for Best Model:
Different from most modeling work in iGEM, we first described the biological process related to our project rather than list the equations used before directly. In this way, we made sense of the necessary preconditions we needed and it became easier to perform stochastic simulation. Before simulation, we incorporated some information from wet lab to adjust some parameters and analyzed how some promoter properties influenced our devices. We found that the systems behaviors in the repressilator were closely related to the absolute promoter strength of the weakest promoter among the three genes. Many modeling approaches, including deterministic and stochastic simulations, phase analysis, parameter scanning, theoretical inference, were presented in our modeling part. Moreover, we introduced a novel design principle to help other researches to finish their custom designs.