Database Research Group (CIS)
Document Type
Conference Paper
Date of this Version
November 1994
Abstract
Human Genome Project databases present a confluence of interesting database challenges: rapid schema and data evolution, complex data entry and constraint management, and the need to integrate multiple data sources and software systems which range over a wide variety of models and formats. While these challenges are not necessarily unique to biological databases, their combination, intensity and complexity are unusual and make automated solutions imperative. We illustrate these problems in the context of the Philadelphia Genome Center for Human Chromosome 22, and describe a new approach to a solution for these problems, by means of a deductive language for expressing database transformations and constraints.
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Date Posted: 04 June 2007
This document has been peer reviewed.
Comments
Postprint version. Copyright ACM, 1994. This is the author's version of the work. It is posted here by permission of ACM for your personal use. Not for redistribution. The definitive version was published in CIKM 94. Proceedings of the Third International Conference on Information and Knowledge Management, November 1994, pages 423-432.
Publisher URL: http://doi.acm.org/10.1145/191246.191317