We are USTC-Software, a team from University of Science and Technology of China. We will be competing in iGem 2013!
##Introduction## Our application aims to simulate gene networks. The application analyzes the stability and the change of gene 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.
##About Our Software##
This software contains four parts, dealing with separate functions in forward and backward modeling of GRN(Gene Regulatory Network) analyse.
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- Start
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- Monitor
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- Result
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- Display
####Start####
Start is used to prepare for the later analysis and prediction. In this part, users could input their database downloaded on Internet and sequences of exogenous gene which is needed to analyse. Also, if not input sequence in Start, users could also use the "Predict" function in next part.
####Monitor####
Monitor undertakes several functions of our software as the core methods of gNAP. First of them is Analyse function which figure out the network change when input an exogenous gene. In the same time a score presenting stablility of new GRN by statist stable time and value variation for lots of times. Analyse result could be saw intuitively in Result part next. Secondly, Predict function use target gene exprssion to figure out possible interaction whose result could also receive in Result.
####Result####
Result is a output part which contains all results of operations used. It is easy to read each gene's information and changing consequence in this part. What's more, all gene information could be output in SBOL.
####Display####
Display is the data visualization part of our software. To reach a more vivid output data, this part had been written in JAVA. There are three parts in Display: ShowRegulation, ShowChange and ShowNetwork.
This software helps the biologists choosing a specific gene satisfying the regulation which they needs.
This is a small game about the analysis of gene regulatory network. Through analyzing the change of each gene's expression strength, you should figure out the interactions between them.
##Floder Structure## Executable:
/Executable/gNAP/Windows/
This floder contains the .exe file of "gNAP" on Windows.
/Executable/gNAP/Linux/
This floder contains the executable program file of "gNAP" on Linux.
/Executable/gNAP/Mac OS/
This floder contains the executable program file of "gNAP" on Mac OS.
/Executable/gFinder/
gFinder is a website software which do not need to executable program. Website:Http://www.stlover.org/gFinder
/Executable/gRNA/
This floder contains the executable program file of "gFinder" which could be ran on all those platforms.
Source Code:
/Source Code/gNAP/
This floder contains the source code files of "gNAP".
The command line source files were written in C++ language and its GUI were written in C++ language with Qt Creator.
/Source Code/gNAP/visualization/
This floder contains the source code files of "gNAP"'s visualization part.
The command line source files were written in Java language.
/Source Code/gNAP/DAVID/
This part is still testing, so it is not included in our software.
This floder contains the source code files of searching DAVID database.
/Source Code/gFinder/
This floder contains the source code files of "gFinder".
The command line source files were written in C++ language and its GUI were embedded in a website.
/Source Code/gRNA/
This floder contains the source code files of "gRNA" which were written in Java language.
Source Data:
/Source Data/
This floder contains the source data files of "gRNA".
The example database can be downloaded from RegulonDB.
The data which used in "gNAP" is flexible. All database in those form could be read in our software.
To compile our source code, you should have:
- Qt (we use version 5.1.0, which can be found here)
- Java (you can get install jre here)
- ant (the compile tool)
- jse (include jdk and etc.)
####Compile gNAP#### The GUI source files are written in C++ language with Qt Creator and the operation source files are also included in gNAP.pro. So the main functions could be compiled across platforms using Qt 5.1.0. What's more, for better visualization, this part was written in Java language. So it should be compiled like this:
Linux:
open a terminal:
cd gNAP-view
sudo apt-get update
sudo apt-get ant
and, compile source code:
ant
Mac OS X:
open a terminal:
cd gNAP-view
sudo brew install ant(or get ant with source code)
and, compile source code:
ant
Windows:
INSTALL ant from http://ant.apache.org/ and DO configure JAVA_HOME
cd path/to/gNAP-view
ant
and than the jar file will in the folder dist
####Compile gFinder#### This is a website software which do not need to compile. You could try our software from here. All source code had been inlcuded in floder:
/Source Code/gFinder/
####Compile gRNA#### All softwares which could compile Java are usable to compile this small game. All source code are included in floder:
/Source Code/gRNA/
For more information, please refer to our wiki page. ##Contacts##
For any questions, feel free to contact:
Chenkun Wang(ustckun@gmail.com)
Jinyang Li(jinyangustc@gmail.com)