| Create, run, share, publish, and reference your LC–MS, FIA–MS, GC–MS, and NMR data analysis workflows with the Workflow4Metabolomics 3.0 Galaxy online infrastructure for … Y Guitton, M Tremblay-Franco, G Le Corguillé, JF Martin, M Pétéra, ... The International Journal of Biochemistry & Cell Biology 93, 89-101, 2017 | 123 | 2017 |
| SLAW: a scalable and self-optimizing processing workflow for untargeted LC-MS A Delabriere, P Warmer, V Brennsteiner, N Zamboni Analytical chemistry 93 (45), 15024-15032, 2021 | 26 | 2021 |
| proFIA: a data preprocessing workflow for flow injection analysis coupled to high-resolution mass spectrometry A Delabrière, UM Hohenester, B Colsch, C Junot, F Fenaille, EA Thévenot Bioinformatics 33 (23), 3767-3775, 2017 | 24 | 2017 |
| PeakForest: a multi-platform digital infrastructure for interoperable metabolite spectral data and metadata management N Paulhe, C Canlet, A Damont, L Peyriga, S Durand, C Deborde, S Alves, ... Metabolomics 18 (6), 40, 2022 | 6 | 2022 |
| Metabolomics T Diederen, A Delabrière, A Othman, ME Reid, N Zamboni Metabolic Engineering: Concepts and Applications 13, 259-299, 2021 | 1 | 2021 |
| New approaches for processing and annotations of high-throughput metabolomic data obtained by mass spectrometry A Delabrière Université Paris-Saclay (ComUE), 2018 | 1 | 2018 |
| PeakForest: une infrastructure numérique, multiplateforme pour la gestion interopérable des données spectrales et des métadonnées des métabolites N Paulhe, C Canlet, A Damont, L Peyriga, S Durand, C Deborde, S Alves, ... | | 2022 |
| proFIA: A preprocessing workflow for FIA-HRMS data A Delabriere, E Thevenot, A Delabriere, U Hohenester, B Colsch, C Junot, ... | | |
