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

Links