Unipept
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.
Contributing
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 unipept@ugent.be.
If you're willing to get your hands dirty, you might of course also send us a pull request!
Installation
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 unipept@ugent.be before you attempt an installation.
A more user friendly way to set up your own Unipept instance is planned for the future. We will probably use docker for this, and release a ready made database as a separate download.
Who made this app?
Unipept is a research project of the computational biology group at Ghent University. If you use this application, please cite:
- 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
- Felix Van der Jeugt (@NoctuaNivalis): PhD student and Master's student 2014-2015
- Robbert Gurdeep Singh (@beardhatcode): PhD student
- Peter Dawyndt (@pdawyndt): Group leader and PhD supervisor
- Peter Vandamme: PhD co-supervisor
- Bart Devreese: PhD co-supervisor
Other contributions from:
- Tom Naessens (@silox): Master's student 2014-2015
- Toon Willems (@nudded): Master's student 2013-2014
- Ewan Higgs (@ehiggs): Ghent University HPC team
For code contributions, the contributors graph is the place to be.