A Python-Based Pipeline for Preprocessing LC–MS Data for Untargeted Metabolomics Workflows
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DOI: 10.3390/metabo10100416
Abstract: 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… read more here.
Keywords: pipeline preprocessing; metabolomics workflows; based pipeline; preprocessing data ... See more keywords