Data warehousing in molecular biology.

C. Schönbach; P. Kowalski-Saunders; V. Brusic

doi:10.1093/bib/1.2.190

Data warehousing in molecular biology.

C. Schönbach
, P. Kowalski-Saunders
, V. Brusic

Research output: Journal Publication › Article › peer-review

32 Citations (Scopus)

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.

Original language	English
Pages (from-to)	190-198
Number of pages	9
Journal	Briefings in Bioinformatics
Volume	1
Issue number	2
DOIs	https://doi.org/10.1093/bib/1.2.190
Publication status	Published - May 2000
Externally published	Yes

UN SDGs

This output contributes to the following UN Sustainable Development Goals (SDGs)

SDG 3 Good Health and Well-being
SDG 9 Industry, Innovation, and Infrastructure

ASJC Scopus subject areas

Information Systems
Molecular Biology

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10.1093/bib/1.2.190

Cite this

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AB - 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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Data warehousing in molecular biology.

Abstract

UN SDGs

ASJC Scopus subject areas

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