
LipidOA is not constrained by the lack of standards for lipid double-bond isomers. By integrating machine learning with prior knowledge, it enables de novo identification of lipid structures and can be applied to high-accuracy double-bond localization and quantitative analysis of glycerophospholipids. (Anal. Chem. 2022, 94, 48, 16759–16767)

LipidNovelist is a python-based software tool designed for the annotation of lipid structures from liquid chromatography-mass spectrometry (LC-MS) data. . The program allows for annotation at the lipid subclass level, chain composition level, C=C location level, and sn isomer level. (Nat. Commun., 2023,14, 4263) Guidence is shown in Supporting Information of this paper.