"
Team:USTC-Software
From 2013.igem.org
| (9 intermediate revisions not shown) | |||
| Line 1: | Line 1: | ||
{{USTC-Software/hidden}} | {{USTC-Software/hidden}} | ||
| + | |||
| + | {{USTC-Software/header2}} | ||
{{USTC-Software/header}} | {{USTC-Software/header}} | ||
| Line 27: | Line 29: | ||
| - | <div id="camera"> | + | <!--div id="camera"> |
<div class="camera_wrap camera_charcoal_skin" id="camera_wrap_1" align="center"> | <div class="camera_wrap camera_charcoal_skin" id="camera_wrap_1" align="center"> | ||
<div data-thumb="https://static.igem.org/mediawiki/2013/c/ca/USTC-Software-3s.jpg | <div data-thumb="https://static.igem.org/mediawiki/2013/c/ca/USTC-Software-3s.jpg | ||
| Line 41: | Line 43: | ||
| - | <div data-thumb="https://static.igem.org/mediawiki/ | + | <div data-thumb="https://static.igem.org/mediawiki/2013/archive/3/32/20131028070148%21USTC-Software-2s.jpg" data-src="https://static.igem.org/mediawiki/2013/3/32/USTC-Software-2s.jpg"> |
<div class="camera_caption fadeFromBottom"><em>We compare the result of our software with gene expression profile in literature.</em></div> | <div class="camera_caption fadeFromBottom"><em>We compare the result of our software with gene expression profile in literature.</em></div> | ||
</div> | </div> | ||
| Line 52: | Line 54: | ||
| - | </div> | + | </div--> |
Latest revision as of 14:26, 7 November 2013
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
