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BATL: Bayesian annotations for targeted lipidomics

By J. Chitpin and others at
LogoUniversity of Ottawa
MotivationBioinformatic tools capable of annotating, rapidly and reproducibly, large, targeted lipidomic datasets are limited. Specifically, few programs enable high-throughput peak assessment of liquid chromatography-electrospray ionization tandem mass spectrometry (LC-ESI-MS/MS) data acquired in either selected or multiple reaction monitoring (SRM and MRM) modes. ResultsWe present here Bayesian Annotations for Targeted Lipidomics (BATL),... Show more
December 21, 2021
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BATL: Bayesian annotations for targeted lipidomics
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