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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> | ||
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<h2><span class="head">Software</span></h2> | <h2><span class="head">Software</span></h2> | ||
<p align="justify"><span style="font-family:Arial, Helvetica, sans-serif;">gNAP’s source code has been written in C++ language and and visualization parts have been written in JAVA language. By using Qt Creator, we designed our GUI which was in plane style. All of them can be compiled across platforms. There are four major parts of gNAP called Start, Monitor, Result and Display.</span></p> | <p align="justify"><span style="font-family:Arial, Helvetica, sans-serif;">gNAP’s source code has been written in C++ language and and visualization parts have been written in JAVA language. By using Qt Creator, we designed our GUI which was in plane style. All of them can be compiled across platforms. There are four major parts of gNAP called Start, Monitor, Result and Display.</span></p> | ||
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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> | ||
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<h2><span class="head">Human Practice</span></h2> | <h2><span class="head">Human Practice</span></h2> | ||
<p align="justify">This year, our human practice were held in our campus. We would like to say “hi” for iGEM to every teacher and student in USTC and also bring their “ Hello ” to iGEM.What’s more, We hope that there would be more people who are interested in synthetic biology and programming joining in iGEM through our human practice.</p> | <p align="justify">This year, our human practice were held in our campus. We would like to say “hi” for iGEM to every teacher and student in USTC and also bring their “ Hello ” to iGEM.What’s more, We hope that there would be more people who are interested in synthetic biology and programming joining in iGEM through our human practice.</p> | ||
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Revision as of 15:21, 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 has been written in C++ language and and visualization parts have been written in JAVA language. By using Qt Creator, we designed our GUI which was in plane style. 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
This year, our human practice were held in our campus. We would like to say “hi” for iGEM to every teacher and student in USTC and also bring their “ Hello ” to iGEM.What’s more, We hope that there would be more people who are interested in synthetic biology and programming joining in iGEM through our human practice.
Sponsors
