Adapting experimental ontologies for molecular epidemiology.
We have identified a set of indicators to track usage patterns of ontologies developed using the semantically explicit S3DB model (www.s3db.org, 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.
Deus
Helena F
HF
University of Texas,Anderson Cancer Center, Bioinformatics and Computational Biology, Houston, TX, USA.
Sousa
Marta Aires de
MA
Carrico
Joao A
JA
Lencastre
Herminia de
Hd
Almeida
Jonas S
JS
D017720:Molecular Epidemiology / Q000145:classification*; D013211:Staphylococcus aureus / Q000235:genetics; D018875:Vocabulary, Controlled