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Quick-start infrastructure for untargeted metabolomics analysis in GNPS

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Fig. 1: The quick-start interface of GNPS can be used for molecular networking and multivariate analysis.

Code availability

The GNPS quick-start page can be accessed at, and the GitHub repository for the code is available at We used the public MassIVE datasets MSV000085256 and MSV000083437 for demonstration.


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This research was supported in part by National Institutes of Health (NIH) awards U19AG063744, GM107550, 1RF1AG051550, R01AG061066, 1R01LM013115, P41GM103484 and R24GM127667, and National Science Foundation (NSF) award no. ABI 1759980. C.C. was funded by NIH fellowship F31AT010419, M.F.O. was also supported by CNPq-Brazil 245954/2012.

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Authors and Affiliations



M.W., N.B. and P.C.D. designed the project. M.W. and C.M.C. developed the code for the quick-start website. T.F.L. and A.B. tested the website and prepared the examples from public data. M.W. and A.B. prepared the online documentation. M.H., M.F.O., E.O.E. and E.C.G. collected the untargeted LC–MS/MS data published at MassIVE. T.F.L., M.W., N.B. and P.C.D. wrote the article, and all authors reviewed and edited the text and figure.

Corresponding authors

Correspondence to Nuno Bandeira, Mingxun Wang or Pieter C. Dorrestein.

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Competing interests

P.C.D. is a scientific advisor to Sirenas, Galileo and Cybele, and cofounder and scientific advisor to Ometa and Enveda with approval by the University of California San Diego. M.W. is a cofounder of Ometa Labs, LLC.

Additional information

Peer review information Nature Metabolism thanks Michael Lalk and the other, anonymous, reviewer(s) for their contribution to the peer review of this work.

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Leao, T.F., Clark, C.M., Bauermeister, A. et al. Quick-start infrastructure for untargeted metabolomics analysis in GNPS. Nat Metab 3, 880–882 (2021).

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