The Unipept web application supports biodiversity and functional analysis of large and complex metaproteome samples and the analysis of peptidomes.

The 4.0 release of Unipept brings functional analysis to the tool.

An API and command line tool are available for integration in other programs.

Found a bug or have an idea for an awesome new feature? File an issue using the github issue tracker or drop us a line at [email protected].

If you're willing to get your hands dirty, you might of course also send us a pull request!

This application is deployed and fully functional at unipept.ugent.be. If for some reason you wish to run your own instance, you can do so by deploying this rails application and setting up a database. This isn't straightforward and you'll probably want some help, so contact us at [email protected] before you attempt an installation.

Check our Wiki-pages for a variety of different installation guides.

Unipept is a research project of the computational biology group at Ghent University. If you use this application, please cite:

• Gurdeep Singh et al. (2019) J. Proteome Res. doi:10.1021/acs.jproteome.8b00716
• Mesuere et al. (2018) J. Proteomics doi:10.1016/j.jprot.2017.05.022
• Mesuere et al. (2016) Proteomics doi:10.1002/pmic.201600023
• Mesuere et al. (2016) Bioinformatics doi:10.1093/bioinformatics/btw039
• Mesuere et al. (2015) Proteomics doi:10.1002/pmic.201400361
• Mesuere et al. (2012) J. Proteome Res. doi:10.1021/pr300576s

Current team:

• Bart Mesuere (@bmesuere): Postdoc and lead developer
• Pieter Verschaffelt (@pverscha): PhD student
• Tibo Vande Moortele (@tibvdm): PhD student
• Peter Dawyndt (@pdawyndt): Group leader and PhD supervisor

Other contributions from:

• Felix Van der Jeugt (@ninewise): Master's student 2014 - 2016 and PhD student 2016 - 2022
• Robbert Gurdeep Singh (@beardhatcode): Developer 2017-2018
• Tom Naessens (@silox): Master's student 2014-2015
• Toon Willems (@nudded): Master's student 2013-2014
• Ewan Higgs (@ehiggs): Ghent University HPC team
• Peter Vandamme: PhD co-supervisor of Bart
• Bart Devreese: PhD co-supervisor of Bart

For code contributions, the contributors graph is the place to be.