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">4 <em>Result</em></div>
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<h2 align="justify">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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            <div class="camera_caption fadeFromBottom"><em>Having discussion with iGEM Software co-head judge, Gil Alterovitz.</em></div>
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            <div class="camera_caption fadeFromBottom"> <em>USTC-Software —— The unicorn consists "USTC".</em> </div>
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            <div class="camera_caption fadeFromBottom"> <em>Come to see this ! ~</em>           </div>
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<h2 align="justify"><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 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 />
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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>
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        <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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            <h3>Description 1</h3>
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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>
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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>
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            <h3>description 2</h3>
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            <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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            <p>Map is a simple and easy software to visualize your experimental data. Click to import the data and you will get exactly what you want.</p>
 
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<h2 align="justify"><span class="head">Human Practice</span></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>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.</p>
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                        <p>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.</p>
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                              <div><span><a href="">Read More</a></span></div>
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Revision as of 19:49, 21 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!

<!DOCTYPE html PUBLIC "-//W3C//DTD XHTML 1.0 Transitional//EN" "http://www.w3.org/TR/xhtml1/DTD/xhtml1-transitional.dtd"> Home

1 Start
2 Monitor
3 Display
4 Result

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

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