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MESSAR: Automated recommendation of metabolite substructures from tandem mass spectra
Despite the increasing importance of non-targeted metabolomics to answer various life science questions, extracting biochemically relevant information from metabolomics spectral data is still an incompletely solved problem. Most computational tools to identify tandem mass spectra focus on a limited...
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| Publicado no: | PLoS One |
|---|---|
| Main Authors: | , , , , , , , |
| Formato: | Artigo |
| Idioma: | Inglês |
| Publicado em: |
Public Library of Science
2020
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| Assuntos: | |
| Acesso em linha: | https://ncbi.nlm.nih.gov/pmc/articles/PMC6964822/ https://ncbi.nlm.nih.gov/pubmed/31945070 https://ncbi.nlm.nih.govhttp://dx.doi.org/10.1371/journal.pone.0226770 |
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