Various microbiome communities s exist in different locations of host organisms and significantly affect their health and disease outcomes. With huge amounts of data generated from extensive host-microbiome interaction studies, it has become challenging to maintain the reproducibility of experiments, share data across different institutions, collect and compare knowledge from different studies, and make statistical inference. To address these challenges, we have initiated the development of a community-based Ontology of Host-Microbiome Interactions (OHMI) through a multi-institutional collaboration. The OHMI is generated to represent a variety of host (e.g., human and mouse), microbiome, host-microbiome interactions under different conditions, protocols, resulting data and possible analyses. The OHMI development follows the Open Biomedical Ontologies (OBO) Foundry principles. The current release of OHMI contains over 800 terms and over 6000 axioms that illustrates the relations among different terms. In this presentation, I will introduce the backgrounds of ontology and OHMI development, and present biomedical use cases on how OHMI can be used to support host-microbiome interaction data standardization and integration, knowledge representation, and computer-assisted automated reasoning.
Sponsored by the Host Microbiome Initiative