An Interactive Tool for the Management and Visualization of Mass-Spectrometry Proteomics Data
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Scalable biomedical and bioinformatics applications
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CCGRID '10 Proceedings of the 2010 10th IEEE/ACM International Conference on Cluster, Cloud and Grid Computing
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
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Mass spectrometry proteomics data contain much information about cell functions and disease conditions. The discovery of such information is enabled by the combined use of novel bioinformatics tools and data mining techniques requiring the integration of huge data sources and the composition of different software tools. The main phases of such emerging applications comprise the loading, management, preprocessing, mining, and visualization of spectra, as well as the analysis of discovered knowledge models. The collection, storage, and analysis of spectra produced in different laboratories can make use of the services of computational Grids, which offer efficient data transfer primitives, effective management of large data stores, and large computing power. In this paper we present MS-Analyzer, a Grid-based software platform for the integrated management and analysis of spectra data. MS-Analyzer provides efficient spectra management through a specialized spectra database, and supports the semantic composition of spectra preprocessing services and data mining services to analyze spectra on the Grid. Copyright © 2006 John Wiley & Sons, Ltd.