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has been cited by the following article:

• TITLE: Using schema transforation pathways for biological data integration

  AUTHORS: Hao Fan, Fei Wang

  KEYWORDS: Evoked potentials (EPs), Alpha stable distribution, Blind source separation, Minimum dispersion (MD), Fractional lower order statistics (FLOS)

  JOURNAL NAME: Journal of Biomedical Science and Engineering, Vol.1 No.3, October 17, 2008

  ABSTRACT: In web environments, proteomics data integra-tionin the life sciences needs to handle the problem of data conflicts arising from the het-erogeneity of data resources and from incom-patibilities between the inputs and outputs of services used in the analysis of the resources. The integration of complex, fast changing bio-logical data repositories can be potentially sup-ported by Grid computing to enable distributed data analysis. This paper presents an approach addressing the data conflict problems of pro-teomics data integration. We describe a pro-posed proteomics data integration architecture, in which a heterogeneous data integration sys-tem interoperates with Web Services and query processing tools for the virtual and materialised integration of a number of proteomics resources, either locally or remotely. Finally, we discuss how the architecture can be further used for supporting data maintenance and analysis ac-tivities.