Author

Olivier Langella

Centre National de la Recherche ScientifiqueORCID 0000-0002-3039-6718Unclaimed ORCID profile · follow to get notified of new preprints

Biology Disciplines

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Bioinformatics· 3

Signature Assays, Organisms & Methods

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Assay:proteomics· 3 Research Focus:benchmarking· 2 Research Focus:differential expression· 2 Assay:metagenomics· 2 Approach:statistical model· 2 Approach:benchmark study· 1 Research Focus:deconvolution· 1 Research Focus:variant calling· 1

Frequent Co-Authors

Mélisande Blein‐NicolasiD· 2 shared Albane LysiakiD· 1 shared Alireza NameniiD· 1 shared An StaesiD· 1 shared Ariane BassignaniiD· 1 shared Bart Van PuyveldeiD· 1 shared Caroline JachmanniD· 1 shared Caroline LennartssoniD· 1 shared

Activity by Year

2022-2025 · peak 1/yr

Co-Author Collaboration Network

10 top collaborators · 19 mutual co-author links

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2 shared papersBioinformatics

Mélisande Blein‐NicolasORCID

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3 papers

Recent·Most cited

BioinformaticsbioRxivPreprintDec 20, 2025

ProteoBench: the community-curated platform for comparing proteomics data analysis workflows

Robbe Devreese, Caroline Jachmann, Bart Van Puyvelde…·Marie Locard‐Paulet

ProteoBench provides a centralized platform for comparing proteomics data analysis workflows, enabling benchmarking and community collaboration.

6 citations

proteomicsbenchmark study

𝕏 PostBluesky

BioinformaticsBMC BioinformaticsPeer-reviewedNov 8, 2023

Fast alignment of mass spectra in large proteomics datasets, capturing dissimilarities arising from multiple complex modifications of peptides

Grégoire Prunier, Mehdi Cherkaoui, Albane Lysiak…·Dominique Tessier

SpecGlobX improves peptide-spectrum match alignment by handling complex modifications, enhancing identification confidence in proteomics data.

5 citations

metagenomicsproteomics

𝕏 PostBluesky

BioinformaticsPeerJPeer-reviewedJun 24, 2022

A combined test for feature selection on sparse metaproteomics data - an alternative to missing value imputation

Sandra Plancade, Magali Berland, Mélisande Blein‐Nicolas…·Catherine Juste

This paper proposes a combined test for feature selection in sparse metaproteomics data, avoiding missing value imputation by addressing both missingness mechanisms and differential intensity.

7 citations

metagenomicsproteomics

𝕏 PostBluesky