NIH R01 · 2025
A reproducible database for untargeted metabolomics data processing across laboratories
Project Summary Scientific teams led by Prof. Oliver Fiehn (UC Davis), Prof. Charles Evans (University of Michigan) and Dr. Tom Metz (Pacific Northwest National Laboratory) will develop and validate a unified, cloud-based data processing workflow and database for high resolution LC-MS/MS metabolomics and lipidomics data. This new database, LC-BinBase, will serve as cornerstone to harmonize and standardize metabolomics data reports. Through both experimental and computational robustness tests, we will show that different metabolomics laboratories can generate consensus data sets if the same set of data acquisition methods are used, even if instruments from different vendors are used. This…
From the public funding record at NIH RePORTER. Describes the funded project, not the reviews below.