Preprocessing of Mass Spectrometry proteomics data on the grid

M. Cannataro, P. H. Guzzi, T. Mazza, G. Tradigo, P. Veltri

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

Abstract

The combined use of Mass Spectrometry and Data Mining is a novel approach in proteomic pattern analysis for discovering novel biomarkers or identifying patterns and associations in proteomic profiles. Data produced by mass spectrometers are affected by errors and noise due to sample preparation and instrument approximation, so different preprocessing techniques need to be applied before analysis is conducted. We survey different techniques for spectra preprocessing, and we present a first design of a software tool that allows the preprocessing, management and analysis of mass spectrometry data on the Grid.

Original languageEnglish
Title of host publicationProceedings - IEEE Symposium on Computer-Based Medical Systems
Pages549-554
Number of pages6
DOIs
Publication statusPublished - 2005
Event18th IEEE Symposium on Computer-Based Medical Systems - Dublin, Ireland, United Kingdom
Duration: Jun 23 2005Jun 24 2005

Other

Other18th IEEE Symposium on Computer-Based Medical Systems
CountryUnited Kingdom
CityDublin, Ireland
Period6/23/056/24/05

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ASJC Scopus subject areas

  • Engineering(all)

Cite this

Cannataro, M., Guzzi, P. H., Mazza, T., Tradigo, G., & Veltri, P. (2005). Preprocessing of Mass Spectrometry proteomics data on the grid. In Proceedings - IEEE Symposium on Computer-Based Medical Systems (pp. 549-554) https://doi.org/10.1109/CBMS.2005.87