Our paper on the nearest neighbor suspect spectral library for untargeted metabolomics made it to the Nature Communications top 25 health sciences articles of 2023, out of more than 8500 published articles in @naturecomms. #NCOMTop25
Read it here: https://www.nature.com/articles/s41467-023-44035-y
Check out the full collection: https://www.nature.com/collections/dbigcchjdg
Open access repository-scale propagated nearest neighbor suspect spectral library for untargeted metabolomics - Nature Communications
Interpreting untargeted mass spectrometry (MS) data is challenging due to incomplete reference libraries. Here, the authors created the nearest neighbor suspect spectral library from largescale public MS data, significantly enhancing the ability to hypothesize structures for unknown mass spectra.
