Study on Proteomics Data Integration in Web Environments

In Web environments, proteomics data integration in the life sciences needs to handle the problem of data conflicts arising from the heterogeneity of data resources and from incompatibilities between the inputs and outputs of services used in the analysis of the resources. This paper presents an approach addressing the data conflict problems of proteomics data integration. We describe a proposed proteomics data integration architecture, in which a heterogeneous data integration system 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 activities.