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 complexi...
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Published in | Briefings in bioinformatics Vol. 1; no. 2; pp. 190 - 198 |
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Main Authors | , , |
Format | Journal Article |
Language | English |
Published |
Oxford
Oxford University Press
01.05.2000
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Subjects | |
Online Access | Get full text |
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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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AbstractList | 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. 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. |
Author | SCHÖNBACH, Christian KOWALSKI-SAUNDERS, Peter BRUSIC, Vladimir |
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SubjectTerms | Biological and medical sciences Computational Biology Computer Simulation Databases, Factual Fundamental and applied biological sciences. Psychology General aspects Information Storage and Retrieval - methods Information Storage and Retrieval - standards Internet Mathematics in biology. Statistical analysis. Models. Metrology. Data processing in biology (general aspects) Molecular Biology - statistics & numerical data |
Title | Data warehousing in molecular biology |
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