MicrobiomeKG: Bridging Microbiome Research and Host Health Through Knowledge Graphs
Abstract
The microbiome represents a complex community of trillions of microorganisms residing in various body parts, and plays critical roles in maintaining host health and well-being. Understanding the interactions between microbiota and host offers valuable insights into potential strategies to promote health, including microbiome-targeted interventions. We have created MicrobiomeKG, a Knowledge Graph for microbiome research, bridging various taxa and microbial pathways with host health. This novel knowledge graph derives algorithmically-generated knowledge assertions from the supplemental tables supporting published microbiome papers, and is deployed for integrative analysis and hypothesis generation via the Biomedical Data Translator ecosystem.
02 /Specification & Classification
Click any tag to browse matching papers- Citations
- 9
- FWCI
- 2.71
- Field percentile
- top 9%
- Assay
- Research Focus
- Approach
Reproducibility ledger
Nobody has reported trying to reproduce this paper yet. Did you replicate an experiment or run the code? Your report saves the next lab a week.
Sign in to file a reproducibility report.
Related papers
- KG-Microbe - Building Modular and Scalable Knowledge Graphs for Microbiome and Microbial Sciences
Brook E. Santangelo, Harshad Hegde, … Marcin P. Joachimiak·GigaSciencePeer-reviewed·Jan 1, 2026
- Characterization of methods for mechanistic inference of the gut microbiome in disease
Brook E. Santangelo, Lawrence Hunter, Catherine Lozupone·bioRxiv·Dec 1, 2023
- Hypothesizing mechanistic links between microbes and disease using knowledge graphs
Brook E. Santangelo, Michael A. Bada, … Catherine Lozupone·Scientific ReportsPeer-reviewed·Feb 26, 2025
- MetagenomicKG: a knowledge graph for metagenomic applications
Chunyu Ma, Shaopeng Liu, … David Koslicki·BioinformaticsPeer-reviewed·Jun 23, 2026
- Decoding the Microbiome-Disease Axis with Interpretable Graph Neural Networks
Vladimir A Ivanov, Wyatt H. Hartman, Mohammad Soheilypour·Journal of Applied MicrobiologyPeer-reviewed·Mar 3, 2026
- KODA: Agentic Framework for Microbiome Drug Target Discovery
Javad Aminian-Dehkordi, Mohammad S. Parsa, … Mohammad R. K. Mofrad·bioRxiv·May 27, 2025