FOBI
FOBI integrates food intake data and metabolomic biomarkers within an ontological framework to standardize, annotate, and enable analysis of nutrition and metabolomics datasets.
Key Features:
- Hierarchical Structure: FOBI employs a hierarchical ontology organizing food entities and associated metabolite biomarkers for detailed categorization and relationship mapping.
- Food Ontology: The Food Ontology represents raw foods and multi-component foods to support diverse nutritional classifications.
- Biomarker Ontology: The Biomarker Ontology classifies food intake biomarkers by chemical classes to enable precise metabolite identification.
- Formal Naming System and Relations: FOBI defines formal names, properties, and relations between foods and biomarkers to ensure consistent annotation.
- Bidirectional Visualization: The ontology supports bidirectional navigation between metabolomics data and nutritional information to aid interpretation.
- Metabolomics Workflow Reporting: FOBI provides structures to standardize reporting of metabolite identification and experimental design.
- Enrichment Analysis Support: FOBI supports enrichment analysis approaches for nutrimetabolomic data.
- Serialization Formats: FOBI is available in OWL and OBO formats.
Scientific Applications:
- Annotation and Standardization: FOBI facilitates consistent annotation of foods and biomarkers using a defined nomenclature across studies.
- Metabolomics Workflow Reporting: FOBI standardizes reporting of metabolite identification and experimental design to improve reproducibility and data sharing.
- Enrichment Analysis: FOBI enables enrichment analyses of nutrimetabolomic datasets to identify dietary patterns and associated metabolic impacts.
- Integrative Analysis: FOBI supports integration of dietary self-reporting and metabolomics measurements for combined analysis.
Methodology:
FOBI integrates dietary self-reporting and metabolomics data within a hierarchical, interconnected ontology that links food entities to metabolite biomarkers.
Topics
Details
- License:
- CC-BY-4.0
- Tool Type:
- database
- Programming Languages:
- Python, R
- Added:
- 1/18/2021
- Last Updated:
- 3/11/2021
Operations
Publications
Castellano-Escuder P, González-Domínguez R, Wishart DS, Andrés-Lacueva C, Sánchez-Pla A. FOBI: an ontology to represent food intake data and associate it with metabolomic data. Database. 2020;2020. doi:10.1093/databa/baaa033. PMID:32556148. PMCID:PMC7298227.
PMID: 32556148
PMCID: PMC7298227
Funding: - Spanish Ministry of Economy and Competitiveness: PCIN-2014-133, PCIN-2015-238, PCIN2017-076
- CIBERfes and ISCIII project: AC19/00096
- Generalitat de Catalunya’s Agency AGAUR: 2017 SGR 1546
- European Institute of Innovation and Technology: FJCI2015-26590