Taxonomically Informed Scoring Enhances Confidence in Natural Products Annotation

Taxonomically Informed Scoring Enhances Confidence in Natural Products Annotation

Mass spectrometry (MS) offers unrivalled sensitivity for the metabolite profiling of complex biological matrices encountered in natural products (NP) research. The massive and complex sets of spectral data generated by such platforms require computational approaches for their interpretation. Within...

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Bibliographic Details
Main Authors: Adriano Rutz, Miwa Dounoue-Kubo, Simon Ollivier, Jonathan Bisson, Mohsen Bagheri, Tongchai Saesong, Samad Nejad Ebrahimi, Kornkanok Ingkaninan, Jean-Luc Wolfender, Pierre-Marie Allard
Format: Article
Language:English
Published: Frontiers Media S.A. 2019-10-01
Series:Frontiers in Plant Science
Subjects:
metabolite annotation
chemotaxonomy
scoring system
natural products
computational metabolomics
taxonomic distance
Online Access:https://www.frontiersin.org/article/10.3389/fpls.2019.01329/full

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https://www.frontiersin.org/article/10.3389/fpls.2019.01329/full

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