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Team:USTC-Software
From 2011.igem.org
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<p align="left"> <img src="https://static.igem.org/mediawiki/2011/b/ba/USTC_Software_IF_LOGO.jpg" width="146" height="142"><strong><em>The University of Science and Technology of China Initiative Foundation</em></strong></p> | <p align="left"> <img src="https://static.igem.org/mediawiki/2011/b/ba/USTC_Software_IF_LOGO.jpg" width="146" height="142"><strong><em>The University of Science and Technology of China Initiative Foundation</em></strong></p> | ||
| - | <p align="left"><img src="https://static.igem.org/mediawiki/2011/1/11/USTC_Software_TAO_LOGO.png" width="364" height="71"><strong><em> | + | <p align="left"><img src="https://static.igem.org/mediawiki/2011/1/11/USTC_Software_TAO_LOGO.png" width="364" height="71"><strong><em>Teaching Affair Office, USTC</em></strong></p> |
| - | <p align="left"><img src="https://static.igem.org/mediawiki/2011/d/d3/USTC_Software_sols.png" width="365" height="63"><strong><em> | + | <p align="left"><img src="https://static.igem.org/mediawiki/2011/d/d3/USTC_Software_sols.png" width="365" height="63"><strong><em> |
| + | School of Life Sciences, USTC</em></strong></p> | ||
<p align="left"> <img src="https://static.igem.org/mediawiki/2011/e/ef/USTC_Software_ADGE_LOGO.png" width="367" height="68"><strong><em>Graduate School, USTC</em></strong></p> | <p align="left"> <img src="https://static.igem.org/mediawiki/2011/e/ef/USTC_Software_ADGE_LOGO.png" width="367" height="68"><strong><em>Graduate School, USTC</em></strong></p> | ||
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Revision as of 03:26, 3 August 2011
USTC_Software
Project Description
USTC 2011 DRY TEAM as a one has worked diligently on designing and implementing a user friendly and interacting-prone software which will get nearer to biology reality and free synthetic biologist from considering unnecessary minutia as well as help both layman and expert draw deep understanding of the mechanism on how the gene circuit run.
We offer a visualizing tool which give insight into the dynamics of a biology network. User dominated parameter adjustment process is also provided to assist in getting the required behavior. In order to assess the network’s immunology to parameter perturbation, a PCA analysis approach is exploited to depict the structure of a “good” behaved region.
Sponsorship
The University of Science and Technology of China Initiative Foundation
Teaching Affair Office, USTC
School of Life Sciences, USTC
Graduate School, USTC
