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Team:USTC-Software
From 2013.igem.org
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<h2><span class="head">Communication</span></h2> | <h2><span class="head">Communication</span></h2> | ||
| - | <p align="justify">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.</p> | + | <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">collaborate</a> with other teams. Open source on github with detailed <a href="https://2013.igem.org/Team:USTC-Software/Project/Develop">API</a> 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.</p> |
<a href="https://2013.igem.org/Team:USTC-Software/Human_practice" class="more"></a> | <a href="https://2013.igem.org/Team:USTC-Software/Human_practice" class="more"></a> | ||
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Revision as of 06:42, 26 October 2013
Genetic Network Analyze and Predict
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, genetic 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, genetic 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
