|Public server:||Use Galaxy-P|
|Summary:||Galaxy-P is a multiple 'omics' data analysis platform with particular emphasis on mass spectrometry based proteomics. Galaxy-P is developed at the University of Minnesota, deployed at the Minnesota Supercomputing Institute.|
usegalaxyp.org is meant to be a resource for training and sharing workflows with the community. It contains workflows and small-scale testing data. The site is not meant to be a production instance for large-scale data, and any accounts and data created here are temporary. The Galaxy-P team collaborates with Galaxy developers around the world including the European Galaxy Community. and Australian Galaxy Community. Users are recommended to use usegalaxy.eu as an alternative server to run your analyses.
- Galaxy-P presentations and posters
- MSI Email Support
- We have created a publicly-available Google Group to facilitate questions, feedback and suggestions for Galaxy-P from both users and developers. Please request to join the group to stay updated and be involved.
- Please follow our Galaxy-P twitter account, @usegalaxyp. It’s a great way to stay updated on the most recent developments:
any accounts and data created here are temporary.
An Accessible Proteogenomics Informatics Resource for Cancer Researchers, Matthew C. Chambers, Pratik D. Jagtap, James E. Johnson, Thomas McGowan, Praveen Kumar, Getiria Onsongo, Candace R. Guerrero, Harald Barsnes, Marc Vaudel, Lennart Martens, Björn Grüning, Ira R. Cooke, Mohammad Heydarian, Karen L. Reddy and Timothy J. Griffin. Cancer Research, DOI: 10.1158/0008-5472.CAN-17-0331 Published November 2017
- Using Galaxy-P to leverage RNA-Seq for the discovery of novel protein variations, Gloria M Sheynkman, James E Johnson, Pratik D Jagtap, Michael R Shortreed, Getiria Onsongo, Brian L Frey, Timothy J Griffin and Lloyd M Smith. BMC Genomics 201415:703, doi:10.1186/1471-2164-15-703
- Publications using Galaxy-P at PubMed.
- Galaxy-P tagged publications in the Galaxy Publication library
- Financial support comes from the National Science Foundation and the National Cancer Institute’s Informatics Technology for Cancer Research program.