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AMIA Annu Symp Proc. 2007 Oct 11:935.

Adapting experimental ontologies for molecular epidemiology.

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University of Texas,Anderson Cancer Center, Bioinformatics and Computational Biology, Houston, TX, USA.


We have identified a set of indicators to track usage patterns of ontologies developed using the semantically explicit S3DB model (, Nature Biotechnology (2006) 24(9):1070-1071). These indicators are quantitative measures that assess the maturity of the data model. As a case study, we have allowed experimental researchers working on molecular epidemiology to incubate a data model for molecular epidemiology by restructuring the underlying ontology and evaluating it with real data.

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