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PINT is a new comprehensive web-based system to store, visualize, and query experimental proteomics data obtained under different experimental conditions and projects. PINT provides a very powerful query system through the use of different proteomics-specific data query commands running over both the experimental features and external annotation…

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PINT

PINT is a new comprehensive web-based system to store, visualize, and query experimental proteomics data obtained under different experimental conditions and projects. PINT provides a very powerful query system through the use of different proteomics-specific data query commands running over both the experimental features and external annotations of the detected protein lists (such as UniprotKB).

More information at the wiki

For more information about how to install PINT, how to configure it, how to submit data, and how to query datasets, go to the wiki page [https://github.com/proteomicsyates/PINT/wiki]

How to get PINT

You can download the latest version of the web application in a war file at: [http://pint.scripps.edu/]

All source code is in this github project. It is divided in different modules, being pint_webapp the actual web application. All its dependencies can be retrieved by maven using the following Maven repositories:

Maven repositories:

<repository>  
 <id>internal</id>  
 <url>http://sealion.scripps.edu/archiva/repository/internal/</url>  
</repository>  
<snapshotRepository>  
 <id>snapshots</id>  
 <url>http://sealion.scripps.edu/archiva/repository/snapshots/</url>  
</snapshotRepository>  

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PINT is a new comprehensive web-based system to store, visualize, and query experimental proteomics data obtained under different experimental conditions and projects. PINT provides a very powerful query system through the use of different proteomics-specific data query commands running over both the experimental features and external annotation…

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