→ Poster doi:10.7490/f1000research.1112724.1
Pratik Jagtap, University of Minnesota and Center for Mass Spectrometry and Proteomics
James Johnson, University of Minnesota Supercomputing Institute
Thomas McGowan, University of Minnesota Supercomputing Institute
Innocent Onsongo, University of Minnesota Supercomputing Institute
Benjamin Lynch, University of Minnesota Supercomputing Institute
Candace Guerrero, University of Minnesota
Kevin Murray, University of Minnesota
Lloyd M Smith, University of Wisconsin-Madison
Michael R Shortreed, University of Wisconsin-Madison
Anthony J Cesnik, University of Wisconsin-Madison
Lennart Martens, Ghent University and VIB
Adrian Hegeman, University of Minnesota
Timothy Griffin, University of Minnesota and Center for Mass Spectrometry and ProteomicsAbstract
The Galaxy-P project has extended the popular Galaxy bioinformatics framework into new realms, deploying tools for MS-based proteomics data analysis and integrative “multi-omic” applications. Galaxy-P leverages the many advantages offered by the Galaxy operating environment for informatics and data analysis, including flexibility, transparency and accessibility for bench scientists.
In the past, we have demonstrated Galaxy-P’s effectiveness not only standard proteomic studies, but also multi-omic applications such as proteogenomic and metaproteomics. Here, we describe more recent developments and emerging applications using Galaxy-P. These include: 1) expansion of tools for more comprehensive characterization of protein modifications; 2) new visualization functionalities for results interpretation; 3) Integration of informatics tools for MS-based metabolomics; and 4) New avenues for dissemination of tools and workflows.