A Survey on Data Integration in Bioinformatics

The need for data integration is widely acknowledged in bioinformatics. There are several huge biological databanks now available across the world in different formats. To characterize or apply data mapping between several data sources requires integration of all related data fields. The problem of integration may be addressed using a variety of approaches; some are widely used and some are less so, having failed to achieve the basic requirements of data integration. In this paper, we discuss three techniques for data integration: the federated database system approach, the data warehousing approach and the link-driven approach. While each approach has its strengths and weaknesses, it is important to identify which approach is best suited to a given user’s needs. We also discuss some database systems which use these three different approaches to solving the problem of data integration.

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