Article Versions Notes

Magny R, Regazzetti A, Kessal K, Genta-Jouve G, Baudouin C, Mélik-Parsadaniantz S, Brignole-Baudouin F, Laprévote O, Auzeil N. Lipid Annotation by Combination of UHPLC-HRMS (MS), Molecular Networking, and Retention Time Prediction: Application to a Lipidomic Study of In Vitro Models of Dry Eye Disease. Metabolites. 2020; 10(6):225. https://doi.org/10.3390/metabo10060225

Magny, Romain, Anne Regazzetti, Karima Kessal, Gregory Genta-Jouve, Christophe Baudouin, Stéphane Mélik-Parsadaniantz, Françoise Brignole-Baudouin, Olivier Laprévote, and Nicolas Auzeil. 2020. "Lipid Annotation by Combination of UHPLC-HRMS (MS), Molecular Networking, and Retention Time Prediction: Application to a Lipidomic Study of In Vitro Models of Dry Eye Disease" Metabolites 10, no. 6: 225. https://doi.org/10.3390/metabo10060225

Magny, R., Regazzetti, A., Kessal, K., Genta-Jouve, G., Baudouin, C., Mélik-Parsadaniantz, S., Brignole-Baudouin, F., Laprévote, O., & Auzeil, N. (2020). Lipid Annotation by Combination of UHPLC-HRMS (MS), Molecular Networking, and Retention Time Prediction: Application to a Lipidomic Study of In Vitro Models of Dry Eye Disease. Metabolites, 10(6), 225. https://doi.org/10.3390/metabo10060225