Author

Sylvie Fournier

Centre National de la Recherche Scientifique

Listed by name: these papers carry no ORCID for this author, so different people with the same name may be mixed together.

Biology Disciplines

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Bioinformatics· 1 Plant Biology· 1

Signature Assays, Organisms & Methods

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Assay:metabolomics· 2 Organism:plant (other)· 2 Organism:Arabidopsis· 1 Research Focus:benchmarking· 1 Research Focus:cell type annotation· 1 Research Focus:database / resource· 1 Research Focus:differential expression· 1 Approach:experimental assay· 1

Frequent Co-Authors

Aurélien Amiel· 2 shared Bernard DumasiD· 2 shared Alice Penrose· 1 shared Amélie PereziD· 1 shared Elodie GauliniD· 1 shared Guillaume CabanaciD· 1 shared Guillaume MartiiD· 1 shared Hiroshi TsugawaiD· 1 shared

Activity by Year

2020-2026 · peak 1/yr

Co-Author Collaboration Network

10 top collaborators · 29 mutual co-author links

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2 shared papersPlant Biology

Aurélien Amiel

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2 papers

Recent·Most cited

A root pathogen drives rhizosphere enrichment of antagonistic Pseudomonas and induces production of an antimicrobial metabolite

Mohamed Zouaoui, Marie Solau, Aurélien Amiel, Alice Penrose, Jean Belleville, Quentin Bazerque, Sylvie Fournier, Amélie Perez, Laurent Camborde, Elodie Gaulin, Thomas Rey, Bernard Dumas

This study shows that a root pathogen activates antimicrobial production in beneficial bacteria, enhancing plant defense against itself.

bioRxiv · Sep 8, 2026 · PreprintPlant Biology

MS-CleanR: A feature-filtering approach to improve annotation rate in untargeted LC-MS based metabolomics

Ophélie Fraisier, Justine Chervin, Guillaume Cabanac, Virginie Puech‐Pagès, Sylvie Fournier, Virginie Durand, Aurélien Amiel, Olivier André, Omar Abdelaziz Benamar, Bernard Dumas, Hiroshi Tsugawa, Guillaume Marti

MS-CleanR improves metabolite annotation rates in untargeted LC-MS by reducing redundant signals while retaining most unique metabolites, enhancing analysis of plant metabolomes.

Analytical Chemistry · Jun 26, 2020Peer-reviewedBioinformatics