Team:USTC-Software

From 2013.igem.org

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                         <div class="camera_caption fadeFromBottom">1 <em>Start</em></div>
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                         <div class="camera_caption fadeFromBottom"><em>Take a gNAP before wearing your gloves!<br/>Genetic Network Analyze and Predict</em></div>
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                         <div class="camera_caption fadeFromBottom">2 <em>Monitor</em></div>
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                         <div class="camera_caption fadeFromBottom"><em>The sketch and final GUI of gNAP!</em></div>
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                         <div class="camera_caption fadeFromBottom">3 <em>Display</em></div>
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                         <div class="camera_caption fadeFromBottom"><em>We compare the result of our software with gene expression profile in literature.</em></div>
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                         <div class="camera_caption fadeFromBottom">4 <em>Result</em></div>
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                         <div class="camera_caption fadeFromBottom"><em>We are USTC-Software!</em></div>
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Revision as of 10:15, 25 September 2013

Slide

Take a gNAP before wearing your gloves! Genetic Network Analyze and Predict
The sketch and final GUI of gNAP!
We compare the result of our software with gene expression profile in literature.
We are USTC-Software!

Home

Take a gNAP before wearing your gloves!
Genetic Network Analyze and Predict
The sketch and final GUI of gNAP!
We compare the result of our software with gene expression profile in literature.
We are USTC-Software!

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 visualization parts have been written in JAVA language. By using Qt Creator, we designed our GUI which was in plain style. All of them can be compiled across platforms. There are four major parts in 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 on 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 will be more people who are interested in synthetic biology and programming joining in iGEM through our human practice.

Sponsors