Drop .mzML files here
or click to browse · one file or a small set
no data handy? try a small public LC-MS/MS run
Running…
GNPS2 Everything Bagel Feature Finder
Drop mzML files → run the Rust feature finder in your browser → explore the aligned feature table. Your raw files never leave your machine. Optional library search sends your features' MS/MS spectra to GNPS2; the optional AI assistant sends your chat (and what its code prints) to GNPS2's AI service.
Built and maintained by the Wang Bioinformatics Lab at UC Riverside. Maintainers: Mingxun Wang, Yourae Shin, Michael Strobel, and Yasin El Abiead. UCR Academic Software License (© 2026 UCR): free for academic and non-profit research; commercial use requires a license ([email protected]) · third-party software & notices. Provided as is, without warranty.
How to cite: if you use the GNPS2 Everything Bagel Feature Finder in your work, please cite Shin Y, El Abiead Y, Jarmusch AK, Strobel M, et al. The Everything Bagel Feature Finder: Ultra-fast automated feature finding for untargeted metabolomics. bioRxiv (2026). doi:10.64898/2026.08.17.744735.
Runs in your browser — ideal for a quick look at a handful of files.
The browser sets hard limits: each file can be at most 2 GB, and the whole run must fit in the engine’s 4 GB of browser memory (plus your browser’s storage quota for the copies it keeps). Large files or many files will not fit — for those, use:
- GNPS2 Everything Bagel workflow — scales to tens of thousands of files, with library search, networking and statistics on the GNPS2 servers.
- Desktop version (Windows / macOS) — the same engine running natively, about 2–3× faster than in the browser, fully offline.