title: Data warehousing in molecular biology.
abstract: 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.
authors.affiliation: Bioinformatics Center, Research Unit, Kent Ridge Digital Labs, Singapore. schoen@krdl.org.sg
authors.forename: C
authors.initials: C
authors.lastname: Schönbach
authors.forename: P
authors.initials: P
authors.lastname: Kowalski-Saunders
authors.forename: V
authors.initials: V
authors.lastname: Brusic
mesh_terms: 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*