MS-analyzer: Intelligent preprocessing, management, and data mining analysis of mass spectrometry data on the grid

Mario Cannataro, Pietro H. Guzzi, Tommaso Mazza, Pierangelo Veltri

Research output: Chapter in Book/Report/Conference proceedingConference contribution

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 proteomic s data on the Grid. Architecture and performance evaluation are presented.

Original languageEnglish
Title of host publicationProceedings - First International Conference on Semantics, Knowledge and Grid, SKG 2005
DOIs
Publication statusPublished - 2006
Event1st International Conference on Semantics, Knowledge and Grid, SKG 2005 - Beijing, China
Duration: Nov 27 2005Nov 29 2005

Other

Other1st International Conference on Semantics, Knowledge and Grid, SKG 2005
Country/TerritoryChina
CityBeijing
Period11/27/0511/29/05

ASJC Scopus subject areas

  • Computer Science(all)

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