FOBI: an ontology to represent food intake data and associate it with metabolomic data.

ABSTRACT: Nutrition research can be conducted by using two complementary approaches: (i) traditional self-reporting methods or (ii) via metabolomics techniques to analyze food intake biomarkers in biofluids. However, the complexity and heterogeneity of these two very different types of data often hinder their analysis and integration. To manage this challenge, we have developed a novel ontology that describes food and their associated metabolite entities in a hierarchical way. This ontology uses a formal naming system, category definitions, properties and relations between both types of data. The ontology presented is called FOBI (Food-Biomarker Ontology) and it is composed of two interconnected sub-ontologies. One is a 'Food Ontology' consisting of raw foods and 'multi-component foods' while the se

SUBMITTER: Castellano-Escuder P 

PROVIDER: S-EPMC7298227 | biostudies-literature | 2020 Jan

REPOSITORIES: biostudies-literature