Data warehousing in molecular biology
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Updated: Oct 5, 2026

Databases to Efficiently Manage Medium Sized, Low Velocity, Multidimensional Data in Tissue Engineering
Published on: November 22, 2019
C Schönbach1, P Kowalski-Saunders, V Brusic
1Bioinformatics Center, Research Unit, Kent Ridge Digital Labs, Singapore. schoen@krdl.org.sg
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.
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