Improving detection of biological contamination using advanced DNA and RNA sequencing technology
Official title: CLEdgeSeq: Advanced sequence analysis and communication for edge applications
Funded at Quantitative Biosciences, INC. · NIH-11007332 · Data updated 2026-11-12
This study is working on a new tool that uses smart computer technology to quickly and accurately find harmful germs in places like water and medical supplies, making it easier to keep our health and environment safe.
Quick facts
| Grant type | Sbir 1 grant |
|---|---|
| Study type | NIH-funded research |
| Funding institution | Quantitative Biosciences, INC. NIH-funded |
| Lab location | 1 site (San Diego, UNITED STATES) |
| Project start | August 1, 2024 |
| Project end | July 31, 2025 |
| Funding year | 2024 |
| Award (this year) | $350,000 |
| NIH project number | 1R43GM156154-01 |
| Project ID | NIH-11007332 on NIH RePORTER |
Who could benefit from this research
✓Could help
Ideal candidates for this research include individuals or organizations involved in healthcare, environmental monitoring, or industries that require stringent quality control measures.
✕Less likely to help
Patients who are not involved in healthcare or industries requiring contamination monitoring may not benefit from this research.
What this research studies
This research focuses on developing advanced computational methods for analyzing DNA and RNA sequences to detect biological contaminants in various environments, including water and therapeutic supplies. By utilizing neural network technology, the project aims to create a portable analysis tool that can be used in clinical and industrial settings for real-time monitoring. This innovative approach seeks to enhance the speed and accuracy of contamination detection, which is crucial for ensuring safety and quality in healthcare and environmental contexts.
Why it matters
Potential benefit: If successful, this research could lead to faster and more accurate detection of harmful biological contaminants, improving safety in healthcare and environmental monitoring.
How similar studies have gone: Other research has shown success in using advanced computational methods for DNA and RNA analysis, indicating a promising direction for this innovative approach.
Where this research is happening
-
Quantitative Biosciences, INC.
San Diego, United States Active
Researchers
- Principal investigator: Mather, William — Quantitative Biosciences, INC.
- Study coordinator: Mather, William
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.