Creating a standardized database for metabolomics data processing
A reproducible database for untargeted metabolomics data processing across laboratories
['FUNDING_R01'] · UNIVERSITY OF CALIFORNIA AT DAVIS · NIH-10939147
This study is creating a helpful online tool that will make it easier for scientists to share and understand data about tiny molecules in our bodies, which can lead to better insights into health and diseases.
Quick facts
| Phase | ['FUNDING_R01'] |
|---|---|
| Study type | Nih_funding |
| Sex | All |
| Sponsor | UNIVERSITY OF CALIFORNIA AT DAVIS (nih funded) |
| Locations | 1 site (DAVIS, UNITED STATES) |
| Trial ID | NIH-10939147 on ClinicalTrials.gov |
What this research studies
This research aims to develop a cloud-based database called LC-BinBase that will standardize the processing of metabolomics data across different laboratories. By using high-resolution mass spectrometry techniques, the project will ensure that data from various sources can be harmonized, allowing for more reliable and reproducible results. The research involves creating algorithms that will provide confidence scores for metabolite identification, enhancing the interpretability of the data for biomedical researchers. Ultimately, this project seeks to improve the quality of metabolomics data, making it more accessible and useful for various applications in health and disease.
Who could benefit from this research
Good fit: Ideal candidates for benefiting from this research include individuals with conditions that can be studied through metabolomics, such as metabolic disorders or chronic diseases.
Not a fit: Patients with conditions that are not related to metabolomics or those who do not have access to participating laboratories may not benefit from this research.
Why it matters
Potential benefit: If successful, this research could lead to more accurate and consistent metabolomics data, which can enhance the understanding of diseases and improve patient care.
How similar studies have performed: Previous research has shown success in standardizing data processing in other fields, suggesting that this approach could be effective in metabolomics as well.
Where this research is happening
DAVIS, UNITED STATES
- UNIVERSITY OF CALIFORNIA AT DAVIS — DAVIS, UNITED STATES (ACTIVE)
Researchers
- Principal investigator: FIEHN, OLIVER — UNIVERSITY OF CALIFORNIA AT DAVIS
- Study coordinator: FIEHN, OLIVER
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 below.