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METABOLOMICS

Some assembly required

Nature Methods volume 19, pages 795–796 (2022)Cite this article

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De novo structure generation from tandem mass spectrometry data will advance annotation of unknown metabolomic signals.

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Fig. 1: Machine learning can reconstruct the whole from the parts.

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Acknowledgements

This work was supported by grants NSF 2117943, NIH 5U01CA235507-03-s and NIFA 2021-67019-33726.

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Authors and Affiliations

  1. Bioanalysis and Omics Center, Analytical Resources Core, Colorado State University, Fort Collins, CO, USA

    Corey D. Broeckling

  2. Department of Agricultural Biology, Colorado State University, Fort Collins, CO, USA

    Corey D. Broeckling

  3. Data Science Research Initiative, Colorado State University, Fort Collins, CO, USA

    Corey D. Broeckling

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  1. Corey D. Broeckling
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Correspondence to Corey D. Broeckling.

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Broeckling, C.D. Some assembly required. Nat Methods 19, 795–796 (2022). https://doi.org/10.1038/s41592-022-01521-3

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