Using ontologies for preprocessing and mining spectra data on the grid

Authors:
M. Cannataro;P. H. Guzzi;T. Mazza;G. Tradigo;P. Veltri
Affiliations:
Department of Experimental Medicine and Clinic, Bioinformatics Laboratory, University "Magna Græcia" of Catanzaro, Viale Europa, Catanzaro, Italy;Department of Experimental Medicine and Clinic, Bioinformatics Laboratory, University "Magna Græcia" of Catanzaro, Viale Europa, Catanzaro, Italy;Department of Experimental Medicine and Clinic, Bioinformatics Laboratory, University "Magna Græcia" of Catanzaro, Viale Europa, Catanzaro, Italy;Department of Experimental Medicine and Clinic, Bioinformatics Laboratory, University "Magna Græcia" of Catanzaro, Viale Europa, Catanzaro, Italy;Department of Experimental Medicine and Clinic, Bioinformatics Laboratory, University "Magna Græcia" of Catanzaro, Viale Europa, Catanzaro, Italy
Venue:
Future Generation Computer Systems - Special section: Data mining in grid computing environments
Year:
2007

Citing 10
Cited 5

Ontology Learning for the Semantic Web

Ontology Learning for the Semantic Web
Distributed data mining on the grid

Future Generation Computer Systems - Grid computing: Towards a new computing infrastructure
Workflow composer and service registry for grid applications

Future Generation Computer Systems
Preprocessing of Mass Spectrometry Proteomics Data on the Grid

CBMS '05 Proceedings of the 18th IEEE Symposium on Computer-Based Medical Systems
A taxonomy of scientific workflow systems for grid computing

ACM SIGMOD Record
Future trends in distributed applications and problem-solving environments

Future Generation Computer Systems - Special section: Complex problem-solving environments for grid computing
SpecAlign---processing and alignment of mass spectra datasets

Bioinformatics
Algorithms for alignment of mass spectrometry proteomic data

Bioinformatics
Data Mining: Practical Machine Learning Tools and Techniques, Second Edition (Morgan Kaufmann Series in Data Management Systems)

Data Mining: Practical Machine Learning Tools and Techniques, Second Edition (Morgan Kaufmann Series in Data Management Systems)
The gRNA: a highly programmable infrastructure for prototyping, developing and deploying genomics-centric applications

VLDB '02 Proceedings of the 28th international conference on Very Large Data Bases

Integrating and Accessing Medical Data Resources within the ViroLab Virtual Laboratory

ICCS '08 Proceedings of the 8th international conference on Computational Science, Part III
IMPRECO: Distributed prediction of protein complexes

Future Generation Computer Systems
A grid service based on suffix trees for pattern extraction from mass spectrometry proteomics data

ISPA'06 Proceedings of the 2006 international conference on Frontiers of High Performance Computing and Networking
Distributed management and analysis of omics data

Euro-Par'11 Proceedings of the 2011 international conference on Parallel Processing - Volume 2
Health risk assessment of zoonotic infections agents through plant products in areas with high livestock pressure

Proceedings of the First ACM SIGSPATIAL International Workshop on Use of GIS in Public Health

Quantified Score

Hi-index	0.00

Visualization

Abstract

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.