Using ontologies for preprocessing and mining spectra data on the Grid

The analysis of mass spectrometry proteomics data requires the composition of different software tools devoted to the loading, management, preprocessing, mining, and visualization of spectra data. This paper proposes the use of ontologies to guide the composition of preprocessing and data mining tools and describes the approach through MS-Analyzer, a software tool for the integrated management, preprocessing and mining of spectra data on the Grid.