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Team:USTC-Software
From 2013.igem.org
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<h2>Overall</h2> | <h2>Overall</h2> | ||
<p align="justify">Genetic Network Analyze and Predict (gNAP) is a software which can model and analyze the change of new GRN constructing after exogenous gene’s import. What’s more, gNAP’s inverse prediction based on overall GRN gives some advise to experimenters before choosing the imported gene meeting their purpose.</p> | <p align="justify">Genetic Network Analyze and Predict (gNAP) is a software which can model and analyze the change of new GRN constructing after exogenous gene’s import. What’s more, gNAP’s inverse prediction based on overall GRN gives some advise to experimenters before choosing the imported gene meeting their purpose.</p> | ||
| - | <img class="more" src="https:// | + | <img class="more" src="https://static.igem.org/mediawiki/2013/d/df/USTC_Software_More.png" /> |
</div> | </div> | ||
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<p align="justify"><span style="font-family:Arial, Helvetica, sans-serif;">gNAP’s source code as well as GUI has been written in C++ language and and visualization parts are written in Java language. All of them can be compiled across platforms.<br /> | <p align="justify"><span style="font-family:Arial, Helvetica, sans-serif;">gNAP’s source code as well as GUI has been written in C++ language and and visualization parts are written in Java language. All of them can be compiled across platforms.<br /> | ||
There are four major parts of gNAP called Start, Monitor, Result and Display.</span></p> | There are four major parts of gNAP called Start, Monitor, Result and Display.</span></p> | ||
| - | <img class="more" src="https:// | + | <img class="more" src="https://static.igem.org/mediawiki/2013/d/df/USTC_Software_More.png" /> |
</div> | </div> | ||
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<p align="justify">In order to simulate the GRN’s working and analyze the changing after exogenous gene imported, some advanced algorithms and classical methods are employed in the software. These algorithms and methods include Binary Tree method, Needle-Wunsch Algorithm, Decision Tree method, Hill Equation and PSO Algorithm.</p> | <p align="justify">In order to simulate the GRN’s working and analyze the changing after exogenous gene imported, some advanced algorithms and classical methods are employed in the software. These algorithms and methods include Binary Tree method, Needle-Wunsch Algorithm, Decision Tree method, Hill Equation and PSO Algorithm.</p> | ||
| - | <img class="more" src="https:// | + | <img class="more" src="https://static.igem.org/mediawiki/2013/d/df/USTC_Software_More.png" /> |
</div> | </div> | ||
<div class="left"> | <div class="left"> | ||
| - | <img src="https:// | + | <img src="https://static.igem.org/mediawiki/2013/d/d7/USTC_Software_Method.png" /> |
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<h2><span class="head">Human Practice</span></h2> | <h2><span class="head">Human Practice</span></h2> | ||
<p align="justify">Genetic Network Analyze and Predict (gNAP) is a software which can model and analyze the change of new GRN constructing after exogenous gene’s import. What’s more, gNAP’s inverse prediction based on overall GRN gives some advise to experimenters before choosing the imported gene meeting their purpose.</p> | <p align="justify">Genetic Network Analyze and Predict (gNAP) is a software which can model and analyze the change of new GRN constructing after exogenous gene’s import. What’s more, gNAP’s inverse prediction based on overall GRN gives some advise to experimenters before choosing the imported gene meeting their purpose.</p> | ||
| - | <img class="more" src="https:// | + | <img class="more" src="https://static.igem.org/mediawiki/2013/d/df/USTC_Software_More.png" /> |
</div> | </div> | ||
Revision as of 13:35, 23 September 2013
Overall
Genetic Network Analyze and Predict (gNAP) is a software which can model and analyze the change of new GRN constructing after exogenous gene’s import. What’s more, gNAP’s inverse prediction based on overall GRN gives some advise to experimenters before choosing the imported gene meeting their purpose.
Software
gNAP’s source code as well as GUI has been written in C++ language and and visualization parts are written in Java language. All of them can be compiled across platforms.
There are four major parts of gNAP called Start, Monitor, Result and Display.
Methodologies
In order to simulate the GRN’s working and analyze the changing after exogenous gene imported, some advanced algorithms and classical methods are employed in the software. These algorithms and methods include Binary Tree method, Needle-Wunsch Algorithm, Decision Tree method, Hill Equation and PSO Algorithm.
Human Practice
Genetic Network Analyze and Predict (gNAP) is a software which can model and analyze the change of new GRN constructing after exogenous gene’s import. What’s more, gNAP’s inverse prediction based on overall GRN gives some advise to experimenters before choosing the imported gene meeting their purpose.
Sponsors
