title: Adapting experimental ontologies for molecular epidemiology.
abstract: 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.
authors.affiliation: University of Texas,Anderson Cancer Center, Bioinformatics and Computational Biology, Houston, TX, USA.
authors.forename: Helena F
authors.initials: HF
authors.lastname: Deus
authors.forename: Marta Aires de
authors.initials: MA
authors.lastname: Sousa
authors.forename: Joao A
authors.initials: JA
authors.lastname: Carrico
authors.forename: Herminia de
authors.initials: Hd
authors.lastname: Lencastre
authors.forename: Jonas S
authors.initials: JS
authors.lastname: Almeida
mesh_terms: D017720:Molecular Epidemiology / Q000145:classification*; D013211:Staphylococcus aureus / Q000235:genetics; D018875:Vocabulary, Controlled