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A Python-Based Pipeline for Preprocessing LC–MS Data for Untargeted Metabolomics Workflows

Preprocessing data in a reproducible and robust way is one of the current challenges in untargeted metabolomics workflows. Data curation in liquid chromatography–mass spectrometry (LC–MS) involves the removal of biologically non-relevant features (retention time, m/z pairs) to retain only high-quali...

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Detalles Bibliográficos
Autores principales:	Riquelme, Gabriel, Zabalegui, Nicolás, Marchi, Pablo, Jones, Christina M., Monge, María Eugenia
Formato:	Online Artículo Texto
Lenguaje:	English
Publicado:	MDPI 2020
Materias:	Article
Acceso en línea:	https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7602939/ https://www.ncbi.nlm.nih.gov/pubmed/33081373 http://dx.doi.org/10.3390/metabo10100416

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