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Semantics, Knowledge and Grid, International Conference on (2005)
Beijing, China
Nov. 27, 2005 to Nov. 29, 2005
ISBN: 0-7695-2534-2
pp: 22
Mario Cannataro , Universit`a Magna Gr?cia di Catanzaro, Italia
Pietro H. Guzzi , Universita Magna Gr?cia di Catanzaro, Italia
Tommaso Mazza , Universita Magna Gr?cia di Catanzaro, Italia
Pierangelo Veltri , Universita Magna Gr?cia di Catanzaro, Italia
ABSTRACT
The analysis of Mass Spectrometry proteomics data requires the combination of large storage systems, effective preprocessing techniques, and data mining and visualization tools. The collection, storage and analysis of huge mass spectra produced in different laboratories can leverage the services of Computational Grids, that offer efficient data transfer primitives, effective management of large data stores, and large computing power. The paper presents a software platform that uses ontologies and workflows to combine spectra preprocessing tools, efficient spectra management techniques, and off-the-shelf data mining tools to analyze proteomics data on the Grid. Architecture and performance evaluation are presented.
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CITATION

T. Mazza, P. H. Guzzi, P. Veltri and M. Cannataro, "MS-Analyzer: Intelligent Preprocessing, Management, and Data Mining Analysis of Mass Spectrometry Data on the Grid," 2005 First International Conference on Semantics, Knowledge and Grid(SKG), Beijing, 2005, pp. 22.
doi:10.1109/SKG.2005.92
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