Hartler, JürgenTriebl, AlexanderZiegl, AndreasTrötzmüller, MartinRechberger, Gerald NZeleznik, OanaZierler, Kathrin ATorta, FedericoCazenave-Gassiot, AmauryWenk, Markus RFauland, AlexanderWheelock, Craig EArmando, Aaron MQuehenberger, OswaldZhang, QifengWakelam, Michael J OHaemmerle, GuenterSpener, FriedrichKöfeler, Harald CThallinger, Gerhard G2018-07-252018Hartler, J., A. Triebl, A. Ziegl, M. Trötzmüller, G. N. Rechberger, O. A. Zeleznik, K. A. Zierler, et al. 2018. “Deciphering lipid structures based on platform-independent decision rule sets.” Nature methods 14 (12): 1171-1174. doi:10.1038/nmeth.4470. http://dx.doi.org/10.1038/nmeth.4470.http://nrs.harvard.edu/urn-3:HUL.InstRepos:37298208We developed decision rule sets for Lipid Data Analyzer (LDA; http://genome.tugraz.at/lda2), enabling automated and reliable annotation of lipid species and their molecular structures in high-throughput data from chromatography-coupled tandem mass spectrometry. Platform independence was proven in various mass spectrometric experiments, comprising low- and high-resolution instruments and several collision energies. We propose that this independence and the capability to identify novel lipid molecular species render current state-of-the-art lipid libraries now obsolete.en-USJournal Article2018-07-2510.1038/nmeth.4470