ABSTRACT
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Certain distinct features make biological data management a challenging undertaking. Biological sciences, as a domain, are described using complex and fuzzy concepts. Consequently, biological databases require complex representations and ongoing alterations of the existing models. Recent advances in high-throughput technologies such as genome sequencing and microarrays have significantly increased the amount of data being stored, thus creating scalability issues. Repositories of biological data contain different subsets of biological knowledge. They are
maintained independently in different locations and made available on different release schedules.
