Data warehousing in molecular biology.
In the business and healthcare sectors data warehousing has provided effective solutions for information usage and knowledge discovery from databases. However, data warehousing applications in the biological research and development (R&D) sector are lagging far behind. The fuzziness and complexity of biological data represent a major challenge in data warehousing for molecular biology. By combining experiences in other domains with our findings from building a model database, we have defined the requirements for data warehousing in molecular biology.
Schönbach
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Bioinformatics Center, Research Unit, Kent Ridge Digital Labs, Singapore. schoen@krdl.org.sg
Kowalski-Saunders
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Brusic
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D019295:Computational Biology; D003198:Computer Simulation; D016208:Databases, Factual; D016247:Information Storage and Retrieval / Q000379:methods* / Q000592:standards; D020407:Internet; D008967:Molecular Biology / Q000706:statistics & numerical data*