Team:USTC-Software

From 2013.igem.org

(Difference between revisions)
Line 24: Line 24:
<div id="camera">
<div id="camera">
-
   <div class="camera_wrap camera_white_skin" id="camera_wrap_1" align="center">
+
   <div class="camera_wrap camera_charcoal_skin" id="camera_wrap_1" align="center">
                     <div data-thumb="../images/IGEM.PNG" data-src="https://static.igem.org/mediawiki/2009/9/95/2009_igem_from_above_300.jpg">
                     <div data-thumb="../images/IGEM.PNG" data-src="https://static.igem.org/mediawiki/2009/9/95/2009_igem_from_above_300.jpg">
                         <div class="camera_caption fadeFromBottom">1 <em>Start</em></div>
                         <div class="camera_caption fadeFromBottom">1 <em>Start</em></div>

Revision as of 18:22, 23 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

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 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