Author

Fabrice Jardin

InsermORCID 0000-0002-6804-7943Unclaimed ORCID profile · follow to get notified of new preprints

Biology Disciplines

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Signature Assays, Organisms & Methods

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Research Focus:benchmarking· 2 Assay:whole-genome sequencing· 2 Approach:experimental assay· 1 Organism:human· 1 Assay:imaging· 1 Approach:simulation· 1 Approach:statistical model· 1 Research Focus:variant calling· 1

Frequent Co-Authors

Élise Prieur-Gaston· 2 shared Philippe RuminyiD· 2 shared Pierre‐Julien ViaillyiD· 2 shared Thierry Lecroq BiD· 2 shared Vincent SateriD· 2 shared Agustí AlentorniD· 1 shared Albert Pons‐EscodaiD· 1 shared Anna SchmittiD· 1 shared

Activity by Year

2020-2026 · peak 2/yr

Co-Author Collaboration Network

10 top collaborators · 20 mutual co-author links

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2 shared papersBioinformatics

Élise Prieur-Gaston

Mutual co-authors in cluster

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3 papers

Recent·Most cited

Morphologic intratumoral heterogeneity from routine whole-slide histopathology is prognostic for survival in primary central nervous system lymphoma: development in the LOC Network and international external validation

Lucas Rincón de la Rosa, Noemie Barillot, Isaias Hernández-Verdín, Roser Velasco, Bertrand Mathon, Sandrine Eimer, Jean Rodolphe Vignes, Audrey Rousseau, Jérôme Paillassa, Guido Ahle, Felix Lerintiu, Emmanuelle Uro‐Coste, Lucie Obéric, Émeline Tabouret, Romain Appay, , Agustí Alentorn

The paper develops and validates a prognostic model using morphologic intratumoral heterogeneity from histopathology slides to predict survival in primary central nervous system lymphoma.

bioRxiv · Sep 3, 2026 · PreprintBioinformatics

UMI-VarCal: a new UMI-based variant caller that efficiently improves low-frequency variant detection in paired-end sequencing NGS libraries

Vincent Sater, Pierre‐Julien Viailly, Thierry Lecroq B, Élise Prieur-Gaston, Élodie Bohers, Mathieu Viennot, Philippe Ruminy, Hélène Dauchel, Pierre Véra, Fabrice Jardin

Bioinformatics · Jan 20, 2020Peer-reviewedBioinformatics

UMI-Gen: a UMI-based reads simulator for variant calling evaluation in paired-end sequencing NGS libraries

Vincent Sater, Pierre‐Julien Viailly, Thierry Lecroq B, Philippe Ruminy, Caroline Bérard, Élise Prieur-Gaston, Fabrice Jardin

UMI-Gen simulates UMI-based reads for variant calling evaluation in paired-end sequencing, allowing benchmarking of variant callers at low frequencies.

Computational and Structural Biotechnology Journal · Jan 1, 2020Peer-reviewedBioinformatics