Yale Team Develops Data Preprocessing Tools for Label-free MRM Mass Spec | GenomeWeb

NEW YORK (GenomeWeb) – Aiming to bridge what they've identified as a gap in informatics workflows for label-free multiple-reaction monitoring mass spec, Yale University researchers have devised a new pipeline for preprocessing of MRM-MS datasets.

Detailed in a paper published last week in Biology, the pipeline automates pre-processing steps including data quality assessment, outlier detection, identification of inaccurate transitions, and data normalization.

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