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Tuesday, June 28 • 3:10pm - 4:25pm
P23: A Multi-omics Visualization Platform (MVP) Plug-in for Galaxy-based Applications

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Poster    doi:10.7490/f1000research.1112723.1


Thomas McGowan, James Johnson, Pratik Jagtap, Getiria Onsongo, Candace Guerrero, Timothy Griffin, University of Minnesota, Minneapolis MN

The Galaxy-P project has extended the popular Galaxy bioinformatics framework deploying tools for MS-based proteomics data analysis and integrative "multi-omic" applications. The MVP visualization tool extends Galaxy-P's advantages into the visualization of large, complex data sets. This allows researchers to quickly inspect and verify the quality of the results as well offer an overview with visualization and a deeper understanding of underlying spectral data. This can be especially valuable when results include inputs from possibly diverse domains. The core of the MVP is based on standard JavaScript and js libraries. In addition it receives data from a documented Galaxy sqlite data provider. The main visualization is integrated into Galaxy via the Galaxy visualizations registry. Once registered, any dataset of type mz.sqlite will automatically be viewable from the MVP tool. The MVP tool uses 1) the DataTables library to manage the presentation, sorting and filtering of data 2) the Lorikeet MS/MS viewer to visualize spectra, and 3) the IGV.js package to interactively present features of interest. This enables a researcher to see, in one HTML window, both genomic and proteomic data as they relate to one another. With the incorporation of Integrated Genomics Viewer (IGV) and Lorikeet, the MVP platform is already merging proteomic and genomic results into a single, accessible output. A user can, with relatively few keystrokes, filter and order large datasets down to a manageable subset. Due to the tools use of server-side caching, large data sets are handled as quickly as small datasets.

avatar for James (JJ) Johnson

James (JJ) Johnson

Minnesota Supercomputing Institute, University of Minnesota

Attendees (5)