Team:USTC-Software

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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"><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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<h2>Overall</h2>
<h2>Overall</h2>
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<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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<p align="justify">Gene 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 reverse analysis based on global 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>
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<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"><span style="font-family:Arial, Helvetica, sans-serif;">gNAP, gene network analyze and predict, is our main software which could analyze the input gene’s effects forward and reversely. gFinder, gene finder, is a website software which could find a specific gene in a database by gene’s function of regulation. gRNA, gene regulatory network analysts, is a small game which could improve the children’s ability of network analysis.<br/></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>
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<h2><span class="head">Communication</span></h2>
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<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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<p align="justify">Our team hope to create a better community for iGEM software, so we <a href="https://2013.igem.org/Team:USTC-Software/collaboration" id="homelink">collaborate</a> with other teams. Open source on github with detailed <a href="https://2013.igem.org/Team:USTC-Software/Project/Develop" id="homelink">API</a> of our source code make our software’s development more easy and convenient. What’s more, to <a href="https://2013.igem.org/Team:USTC-Software/Human_practice" id="homelink">popularize</a> iGEM in our campus, we also give “Hi” from iGEM to all the students and teachers and give their “Hello” back.</p>
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Latest revision as of 14:26, 7 November 2013

Header2

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

Overall

Gene 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 reverse analysis based on global GRN gives some advise to experimenters before choosing the imported gene meeting their purpose.

Software

gNAP, gene network analyze and predict, is our main software which could analyze the input gene’s effects forward and reversely. gFinder, gene finder, is a website software which could find a specific gene in a database by gene’s function of regulation. gRNA, gene regulatory network analysts, is a small game which could improve the children’s ability of network analysis.

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.

Communication

Our team hope to create a better community for iGEM software, so we collaborate with other teams. Open source on github with detailed API of our source code make our software’s development more easy and convenient. What’s more, to popularize iGEM in our campus, we also give “Hi” from iGEM to all the students and teachers and give their “Hello” back.

Sponsors

Retrieved from "http://2013.igem.org/Team:USTC-Software"