Author

Simon Ollivier

Centre National de la Recherche ScientifiqueORCID 0000-0002-7671-1736Unclaimed ORCID profile · follow to get notified of new preprints

Biology Disciplines

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Bioinformatics· 2 Biochemistry· 1

Signature Assays, Organisms & Methods

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Research Focus:benchmarking· 2 Research Focus:cell type annotation· 2 Assay:metabolomics· 2 Approach:statistical model· 2 Research Focus:clustering· 1 Research Focus:database / resource· 1 Research Focus:deconvolution· 1 Approach:experimental assay· 1

Frequent Co-Authors

Jean‐Luc WolfenderiD· 2 shared Pierre‐Marie AllardiD· 2 shared Adriano RutziD· 1 shared Albert J. R. HeckiD· 1 shared Athanasios SmyrnakisiD· 1 shared Damien Olivier‐JimeneziD· 1 shared Danique M.H. van RijswijckiD· 1 shared David RondeauiD· 1 shared

Activity by Year

2019-2025 · peak 1/yr

Co-Author Collaboration Network

10 top collaborators · 18 mutual co-author links

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2 shared papersBioinformatics

Jean‐Luc WolfenderORCID

Mutual co-authors in cluster

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3 papers

Recent·Most cited

BiochemistrybioRxivPreprintOct 29, 2025

A prototype timsOmni platform enables confident annotation of key hypervariable regions of IgG immunoglobulins using low- and high-energy electron-based fragmentation.

Simon Ollivier, Dina Schuster, Danique M.H. van Rijswijck…·Albert J. R. Heck

1 citation

proteomicsexperimental assay

𝕏 PostBluesky

BioinformaticsbioRxivPreprintDec 21, 2021

From mass spectral features to molecules in molecular networks: a novel workflow for untargeted metabolomics.

Damien Olivier‐Jimenez, Zakaria Bouchouireb, Simon Ollivier…·Jean‐Luc Wolfender

The paper introduces MolNotator, a method that improves molecular networking in untargeted metabolomics by predicting neutral molecules from ion data, enhancing dereplication and network integration.

8 citations

metabolomicsstatistical model

𝕏 PostBluesky

BioinformaticsFrontiers in Plant SciencePeer-reviewedOct 25, 2019

Taxonomically informed scoring enhances confidence in natural products annotation

Adriano Rutz, Miwa Dounoue-Kubo, Simon Ollivier…·Pierre‐Marie Allard

The paper enhances metabolite annotation confidence by integrating taxonomic information into spectral matching scores, improving recall and precision of annotation tools.

134 citationstop 4%

metabolomicsstatistical model

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