Identification of oxidized lipids from DDA datasets
LPPtiger is an open source software for the high-throughput identification of lipids from DDA data acquired by LC-MS experiments. LPPtiger combines three unique algorithms to predict oxidized lipidome, generate oxPL spectra libraries, and identify oxPLs from tandem MS data using parallel processing and a multi-scoring identification workflow. LPPtiger can evaluate candidate structures using its unique five-criteria scoring system including isotope score to check isotopic pattern, rank score for bottom-up identification, spectra match score to check the spectra similarity to predicted spectra, fingerprint score to check low abundant signals, and signal to noise score to check the specificity of candidate structure. LPPtiger provide a solution to generate customized oxidized lipids library predicted from unmodified lipids and use it for precise identification of oxidized lipids.