Raphaël Lugan
University of Avignon
5 Papers
Raphaël Lugan is an academic researcher from University of Avignon. The author has contributed to research in topics: Computer science & Biology. The author has an hindex of 4, co-authored 5 publications.
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Papers
Auto-deconvolution and molecular networking of gas chromatography–mass spectrometry data
Alexander A. Aksenov,Ivan Laponogov,Zheng Zhang,Sophie L. F. Doran,Ilaria Belluomo,Dennis Veselkov,Wout Bittremieux,Wout Bittremieux,Louis-Félix Nothias,Mélissa Nothias-Esposito,Katherine N. Maloney,Katherine N. Maloney,Biswapriya B. Misra,Alexey V. Melnik,Aleksandr Smirnov,Xiuxia Du,Kenneth L. Jones,Kathleen Dorrestein,Morgan Panitchpakdi,Madeleine Ernst,Madeleine Ernst,Justin J. J. van der Hooft,Justin J. J. van der Hooft,Mabel Gonzalez,Chiara Carazzone,Adolfo Amézquita,Chris Callewaert,James T. Morton,Robert A. Quinn,Amina Bouslimani,Andrea Georgina Albarracín Orio,Daniel Petras,Andrea M. Smania,Sneha P. Couvillion,Meagan C. Burnet,Carrie D. Nicora,Erika M. Zink,Thomas O. Metz,Viatcheslav B. Artaev,Elizabeth Humston-Fulmer,Rachel Gregor,Michael M. Meijler,Itzhak Mizrahi,Stav Eyal,Brooke A. Anderson,Rachel J. Dutton,Raphaël Lugan,Pauline Le Boulch,Yann Guitton,S. Prévost,Audrey Poirier,Gaud Dervilly,Bruno Le Bizec,Aaron Fait,Noga Sikron Persi,Chao Song,Kelem Gashu,Roxana Coras,Monica Guma,Julia Manasson,Jose U. Scher,Dinesh Kumar Barupal,Saleh Alseekh,Alisdair R. Fernie,Reza Mirnezami,Vasilis Vasiliou,Robin Schmid,Roman S. Borisov,Larisa N. Kulikova,Rob Knight,Mingxun Wang,George B. Hanna,Pieter C. Dorrestein,Kirill Veselkov +73 more
TL;DR: A machine learning approach, MSHub, is engineered to enable auto-deconvolution of gas chromatography–mass spectrometry data and workflows are designed to enable the community to store, process, share, annotate, compare and perform molecular networking of GC–MS data within theGNPS Molecular Networking analysis platform.
Multi-Targeted Metabolic Profiling of Carotenoids, Phenolic Compounds and Primary Metabolites in Goji (Lycium spp.) Berry and Tomato (Solanum lycopersicum) Reveals Inter and Intra Genus Biomarkers.
Doriane Dumont,Giorgia Danielato,Annie Chastellier,Laurence Hibrand-Saint Oyant,Anne Laure Fanciullino,Raphaël Lugan +5 more
TL;DR: Optimal analytical methods for metabolic profiling in the fruits of three Solanaceae species, reported here for the first time to the authors' knowledge, revealed compounds discriminating the Lycium species were more abundant in Lycium chinense, whereas Lycium barbarum accumulated more lycibarbarphenylpropanoids A-B, coumaric acid, fructose and glucose.
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Main Human Urinary Metabolites after Genipap (Genipa americana L.) Juice Intake
Livia Dickson,Mathieu Tenon,Ljubica Svilar,Pascale Fança-Berthon,Raphaël Lugan,Jean-Charles Martin,Fabrice Vaillant,Hervé Rogez +7 more
TL;DR: Human exposure to genipap reveals the production of derivative forms of bioactive compounds such as genipic and genipinic acid, and the findings suggest thatgenipap consumption triggers effects on metabolic signatures.
18
Regulation of sugar metabolism genes in the nitrogen-dependent susceptibility of tomato stems to Botrytis cinerea.
Nathalie Lacrampe,Félicie Lopez-Lauri,Raphaël Lugan,Sophie Colombié,Jérôme Olivares,Philippe C. Nicot,François Lecompte +6 more
TL;DR: It can be hypothesized that supplementary sucrose cleavage by sucrose synthases is dedicated to the production of cell wall components from UDP-glucose, or to the additional implication of fructose in the synthesis of antimicrobial compounds, or both.
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Algorithmic Learning for Auto-deconvolution of GC-MS Data to Enable Molecular Networking within GNPS
Alexander A. Aksenov,Alexander A. Aksenov,Ivan Laponogov,Zheng Zhang,Sophie L. F. Doran,Ilaria Belluomo,Dennis Veselkov,Wout Bittremieux,Wout Bittremieux,Wout Bittremieux,Louis-Félix Nothias,Louis-Félix Nothias,Mélissa Nothias Esposito,Mélissa Nothias Esposito,Katherine N. Maloney,Katherine N. Maloney,Biswapriya B. Misra,Alexey V. Melnik,Kenneth L. Jones,Kathleen Dorrestein,Kathleen Dorrestein,Morgan Panitchpakdi,Madeleine Ernst,Madeleine Ernst,Justin J. J. van der Hooft,Justin J. J. van der Hooft,Mabel Gonzalez,Chiara Carazzone,Adolfo Amézquita,Chris Callewaert,James T. Morton,Robert A. Quinn,Amina Bouslimani,Amina Bouslimani,Andrea Georgina Albarracín Orio,Daniel Petras,Daniel Petras,Andrea M. Smania,Sneha P. Couvillion,Meagan C. Burnet,Carrie D. Nicora,Erika M. Zink,Thomas O. Metz,Viatcheslav B. Artaev,Elizabeth Humston Fulmer,Rachel Gregor,Michael M. Meijler,tzhak MizrahiI,Stav Eyal,Brooke Anderson,Rachel Dutton,Raphaël Lugan,Pauline Le Boulch,Yann Guitton,S. Prévost,Audrey Poirier,Gaud Dervilly,Bruno Le Bizec,Aaron Fait,Noga Sikron Persi,Chao Song,Kelem Gashu,Roxana Coras,Vasilis Vasiliou,Robin Schmid,Roman S. Borisov,Larisa N. Kulikova,Rob Knight,Mingxun Wang,Mingxun Wang,George B. Hanna,Pieter C. Dorrestein,Kirill Veselkov +72 more
TL;DR: A scalable machine learning workflow is engineered to enable the mass spectrometry community to store, process, share, annotate, compare, and perform molecular networking of GC-MS data, and introduces a “balance score” that quantifies the reproducibility of fragmentation patterns across all samples.