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Food for thought - A toxicology ontology roadmap

Apic G; Carthew P; Clark D; Cook D; Dix I; Escher S; Hardy B; Hastings J; Heard DJ; Jeliazkova N; Judson PN; Matis-Mitchell S; Mitic D; Myatt G; Shah I; Spjuth O; Tcheremenskaia O; Toldo L; Watson D; White A; Yang C;

To be maximally effective, predictive toxicology needs access to the largest possible knowledge base of previous toxicology findings. This necessitates the development of open, public, computable, and standardized toxicology vocabularies and ontologies so as to support data management, model building, integrated analysis, validation and reporting, leading to new scientific advances in a mechanistically-based predictive toxicology. New ontologies are...

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