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

doi:10.1109/SKG.2005.92

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

IRCCS Casa Sollievo della Sofferenza

Research output: Chapter in Book/Report/Conference proceeding › Conference 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 language	English
Title of host publication	Proceedings - First International Conference on Semantics, Knowledge and Grid, SKG 2005
DOIs	https://doi.org/10.1109/SKG.2005.92
Publication status	Published - 2006
Event	1st International Conference on Semantics, Knowledge and Grid, SKG 2005 - Beijing, China Duration: Nov 27 2005 → Nov 29 2005

Other

Other	1st International Conference on Semantics, Knowledge and Grid, SKG 2005
Country/Territory	China
City	Beijing
Period	11/27/05 → 11/29/05

ASJC Scopus subject areas

Computer Science(all)

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10.1109/SKG.2005.92

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Cannataro, M, Guzzi, PH, Mazza, T & Veltri, P 2006, MS-analyzer: Intelligent preprocessing, management, and data mining analysis of mass spectrometry data on the grid. in Proceedings - First International Conference on Semantics, Knowledge and Grid, SKG 2005., 4125810, 1st International Conference on Semantics, Knowledge and Grid, SKG 2005, Beijing, China, 11/27/05. https://doi.org/10.1109/SKG.2005.92

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

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.",

author = "Mario Cannataro and Guzzi, {Pietro H.} and Tommaso Mazza and Pierangelo Veltri",

year = "2006",

doi = "10.1109/SKG.2005.92",

language = "English",

isbn = "0769525342",

booktitle = "Proceedings - First International Conference on Semantics, Knowledge and Grid, SKG 2005",

note = "1st International Conference on Semantics, Knowledge and Grid, SKG 2005 ; Conference date: 27-11-2005 Through 29-11-2005",

}

TY - GEN

T1 - MS-analyzer

T2 - 1st International Conference on Semantics, Knowledge and Grid, SKG 2005

AU - Cannataro, Mario

AU - Guzzi, Pietro H.

AU - Mazza, Tommaso

AU - Veltri, Pierangelo

PY - 2006

Y1 - 2006

N2 - 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.

AB - 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.

UR - http://www.scopus.com/inward/record.url?scp=42749108773&partnerID=8YFLogxK

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U2 - 10.1109/SKG.2005.92

DO - 10.1109/SKG.2005.92

M3 - Conference contribution

SN - 0769525342

SN - 9780769525341

BT - Proceedings - First International Conference on Semantics, Knowledge and Grid, SKG 2005

Y2 - 27 November 2005 through 29 November 2005

ER -

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

Abstract

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