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S2P is an open source application for fast and easy processing of 2D-gel and MALDI-based mass spectrometry protein data. Please, visit the official web page of the project for downloads and support.
This maven project is comprised of the following modules:
The final application can be built using the mvn install command. This command builds the three modules and generates the AIBench based application at s2p-aibench/targets.
In order to create the Windows/Linux portable versions and the Windows executable installers, two profiles can be specified: createDistributables and createInstallers, respectively. Both portable versions and installers are self-contained since they contain an embedded Java Runtime Environment to run the application.
Windows/Linux portable versions can be built using the mvn install -PcreateDistributables command. This command generates the following four portable versions of S2P at s2p-aibench/target/builds: Linux 32-bit, Linux 64-bit, Windows 32-bit and Windows 64-bit.
NSIS-based Windows installers can be built using the mvn install -PcreateInstallers command. This command generates the 32 and 64-bit versions at s2p-aibench/target/builds. Note that this profile is created to run under Linux environments with mingw-w64 and wine installed (it relies on i686-w64-mingw32-windres and i686-w64-mingw32-gcc to create some application files packed by NSIS).
This project is an idea and is developed by:
If you are using S2P, please, cite us:
H. López-Fernández; J.E. Araújo; S. Jorge; D. Glez-Peña; M. Reboiro-Jato; F. Fdez-Riverola; H.M. Santos; J.L. Capelo-Martínez (2018) S2P: A Software Tool to Quickly Carry Out Reproducible Biomedical Research Projects Involving 2D-Gel and MALDI-TOF MS Protein Data. Computer Methods and Programs in Biomedicine. Volume 155, pp. 1-9. ISSN: 0169-2607
H. López-Fernández; J.E. Araújo; D. Glez-Peña; M. Reboiro-Jato; F. Fdez-Riverola; J.L. Capelo-Martínez (2017) S2P: a desktop application for fast and easy processing of 2D-gel and MALDI-based mass spectrometry protein data. 11th International Conference on Practical Applications of Computational Biology & Bioinformatics. PACBB 2017. Advances in Intelligent Systems and Computing, vol 616, pp 1-8. Springer, Cham
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