Bioinformatics platform to map and identify metabolites at scale
Official title: Bioinformatics platform for large scale untargeted metabolomics analysis
Funded at Ometa Labs LLC · NIH-11379108 · Data updated 2026-11-12
A modern software platform will help scientists find and characterize small molecule metabolites in large datasets to better understand medications, environmental chemicals, and health risks.
Quick facts
| Grant type | Sbir 2 grant |
|---|---|
| Study type | NIH-funded research |
| Funding institution | Ometa Labs LLC NIH-funded |
| Lab location | 1 site (Carlsbad, United States) |
| Project start | August 1, 2025 |
| Project end | July 31, 2027 |
| Funding year | 2026 |
| Award (this year) | $702,348 |
| NIH project number | 5R44GM162107-02 |
| Project ID | NIH-11379108 on NIH RePORTER |
Who could benefit from this research
✓Could help
Ideal candidates include researchers and clinicians who work with metabolomics data, pharmacology, toxicology, or exposure science and require scalable analysis tools.
✕Less likely to help
Patients not involved in metabolomics research or those not relying on metabolite data analyses may see no direct benefit.
What this research studies
This project will rebuild and extend an existing bioinformatics tool to enable big-data analysis of untargeted metabolomics. It focuses on identifying novel metabolites by using advanced algorithms and data mining across large repositories, which could speed discoveries related to medicines and environmental exposures. The work will translate complex chemical data into actionable insights for researchers and clinical teams who study how metabolites influence health. The platform aims to automate identification, improve annotation accuracy, and scale analyses to handle vast amounts of data.
Why it matters
Potential benefit: If successful, patients could benefit from faster discovery of how metabolites affect drug safety and environmental health, leading to better therapies and risk assessments.
How similar studies have gone: Similar untargeted metabolomics tools have advanced large-scale analyses, though this platform emphasizes next-generation data-mining and integration capabilities.
Where this research is happening
-
Ometa Labs LLC
Carlsbad, United States Active
Researchers
- Principal investigator: Egan, Joseph M — Ometa Labs LLC
- Study coordinator: Egan, Joseph M
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About this research
- This is an active NIH-funded research project — typically early-stage science, not a clinical trial accepting patient enrollment.
- Some NIH-funded labs run parallel clinical studies or seek volunteers for related work. To check, contact the principal investigator or institution listed above.
- For full project details, budget, and progress reports, visit the official NIH RePORTER page.