Managing ontologies for grid computing
Multiagent and Grid Systems
Sharing mass spectrometry data in a grid-based distributed proteomics laboratory
Information Processing and Management: an International Journal
Using ontologies for preprocessing and mining spectra data on the grid
Future Generation Computer Systems - Special section: Data mining in grid computing environments
Scalable biomedical and bioinformatics applications
Proceedings of the 3rd international conference on Scalable information 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
Services, standards, and technologies for high performance computational proteomics
ISPA'07 Proceedings of the 2007 international conference on Frontiers of High Performance Computing and Networking
| Hi-index | 0.00 |
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.