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High-confidence structural annotation of metabolites absent from spectral libraries

High-confidence structural annotation of metabolites absent from spectral libraries

https://devfeature-collection.sl.nsw.gov.au/record/TN_cdi_pubmedcentral_primary_oai_pubmedcentral_nih_gov_8926923

High-confidence structural annotation of metabolites absent from spectral libraries

About this item

Full title

High-confidence structural annotation of metabolites absent from spectral libraries

Publisher

New York: Nature Publishing Group US

Journal title

Nature biotechnology, 2022-03, Vol.40 (3), p.411-421

Language

English

Formats

Publication information

Publisher

New York: Nature Publishing Group US

More information

Scope and Contents

Contents

Untargeted metabolomics experiments rely on spectral libraries for structure annotation, but, typically, only a small fraction of spectra can be matched. Previous in silico methods search in structure databases but cannot distinguish between correct and incorrect annotations. Here we introduce the COSMIC workflow that combines in silico structure d...

Alternative Titles

Full title

High-confidence structural annotation of metabolites absent from spectral libraries

Identifiers

Primary Identifiers

Record Identifier

TN_cdi_pubmedcentral_primary_oai_pubmedcentral_nih_gov_8926923

Permalink

https://devfeature-collection.sl.nsw.gov.au/record/TN_cdi_pubmedcentral_primary_oai_pubmedcentral_nih_gov_8926923

Other Identifiers

ISSN

1087-0156

E-ISSN

1546-1696

DOI

10.1038/s41587-021-01045-9

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