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Team:USTC-Software
From 2013.igem.org
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| - | + | <p>Synthetic biology has been working on transforming target organisms, which usually means integrating new genes with an available network to achieve a high expression level of certain compounds. Nevertheless, the new-integrated genes are always not the original parts of the target metabolic network, so it is hard to predict how the new genes will affect the network. </p> | |
| - | + | <p>Our application aims to simulate genetic networks. The application analyzes the stability of genetic networks after introduction of exogenous genes. Meanwhile, given the original network and specific purposes, the application traces the regulative process back and gives possible regulative patterns.</p> | |
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<div align="center"><a href="" ><img src="https://static.igem.org/mediawiki/2012/3/3c/USTC-Software-images-3.png" width="250" height="100" title="Sandbox" border="0"></a></div> | <div align="center"><a href="" ><img src="https://static.igem.org/mediawiki/2012/3/3c/USTC-Software-images-3.png" width="250" height="100" title="Sandbox" border="0"></a></div> | ||
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Revision as of 15:04, 13 August 2013
Welcome to our wiki!
Description
Synthetic biology has been working on transforming target organisms, which usually means integrating new genes with an available network to achieve a high expression level of certain compounds. Nevertheless, the new-integrated genes are always not the original parts of the target metabolic network, so it is hard to predict how the new genes will affect the network.
Our application aims to simulate genetic networks. The application analyzes the stability of genetic networks after introduction of exogenous genes. Meanwhile, given the original network and specific purposes, the application traces the regulative process back and gives possible regulative patterns.
[NAME]
[BASIC FUNCTION]
[APPROACH & METHODOLOGY]
[PURPOSE & BACKGROUND]
[SIGNIFICANCE & INNOVATION]
Console
Console is where you manage heavy computing and complex tasks. With different buttons controlling each parameter, you can optimize the behaviors of the software. We applied evolution algorithm and machine learning techniques in the network inferences to provide the best simulation of your data.
Sand Box
SandBox displays the Genetic Regulatory Networks in a clean and interactive way, with clear connection and 3-D interaction, you will get better understanding of how genes and proteins regulating each other.
