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Semantic Data Cleansing in Genome Databases

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8 out of 16 users found this white paper useful


Publisher Humboldt University Berlin
Publisher Registration N/A
Topics Date added 22 Jul 2003
Downloads 6 Format 225.7KB PDF

The abundance of errors in genome databases is a well-known fact. Major problems are errors in genome annotation. Performing biological experiments to eliminate them is time consuming and expensive. As a viable alternative, the author introduces novel data cleansing methods for (semi-) automatic detection and correction of erroneous entries. Using a simple example the author shows the applicability of this cleansing approach. The approach forms a sound basis for the solution of many open questions such as the efficient identification of erroneous entries, the specification of the cleansing process, management of alternative solutions until the correct one is identified, and efficient management of dependencies to react on changes to base data and avoid outdated data.

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8 out of 16 users found this white paper useful


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