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.
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@example.com before you attempt an installation.
Check our Wiki-pages for a variety of different installation guides.
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
- Bart Mesuere (@bmesuere): Postdoc and lead developer
- Pieter Verschaffelt: Master's student 2018-2019
- Felix Van der Jeugt (@NoctuaNivalis): PhD student
- Peter Dawyndt (@pdawyndt): Group leader and PhD supervisor
- Peter Vandamme: PhD co-supervisor
- Bart Devreese: PhD co-supervisor
Other contributions from:
- 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
For code contributions, the contributors graph is the place to be.