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Nucleic Acids Research, 1990, Vol. 18, No. 7 1749-1756
© 1990


SURVEY AND SUMMARY

A relational database of transcription factors

David Ghosh

Dana-Farber Cancer Institute, Harvard Medical School Boston, MA 02115, USA

Received December 20, 1989. Revised March 2, 1990. Accepted March 2, 1990.

Recent advances in the understanding of eukaryotic gene regulation have produced an extensive body of transcriptionally-related sequence information in the biological literature (1 – 8 for reviews), and have created a need for computing structures that organize and manage this information. The ‘relational model’ (9 – 11) represents an approach that is finding increasing application in the design of biological databases(l2 – 16). This report describes the compilation of information regarding eukaryotic transcription factors, the organization of this information into five tables, the computational applications of the resultant relational database that are of theoretical as well as experimental interest, and possible avenues of further development.


* Present Address: National Center for Biotechnology Information, NLM, NIH, Bethesda, MD 20894, USA


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