Author

Marion Verdenaud

Centre National de la Recherche ScientifiqueORCID 0000-0002-4071-0782Unclaimed ORCID profile · follow to get notified of new preprints

Biology Disciplines

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Bioinformatics· 1 Evolutionary Biology· 1

Signature Assays, Organisms & Methods

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Research Focus:clustering· 2 Research Focus:cell type annotation· 1 Research Focus:differential expression· 1 Assay:DNA methylation· 1 Approach:experimental assay· 1 Research Focus:gene regulatory network inference· 1 Organism:plant (other)· 1 Assay:scRNA-seq· 1

Frequent Co-Authors

Abdelhafid BendahmaneiD· 1 shared Amandine Sandri· 1 shared Clement PichotiD· 1 shared Étienne DelannoyiD· 1 shared Gabriele Adam· 1 shared Guillaume ChomickiiD· 1 shared Hanno SchaeferiD· 1 shared Lara PereiraiD· 1 shared

Activity by Year

2026-2026 · peak 2/yr

Co-Author Collaboration Network

10 top collaborators · 21 mutual co-author links

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1 shared paperEvolutionary Biology

Abdelhafid BendahmaneORCID

Mutual co-authors in cluster

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2 papers

Recent·Most cited

Ancient DNA reveals early use of melons in China's Song Dynasty

Nathanael Walker‐Hale, Yunfei Zheng, Marion Verdenaud, Lara Pereira, Oscar Alejandro Pérez-Escobar, Michaela Preick, Abdelhafid Bendahmane, Michael V. Westbury, Michael Hofreiter, Hanno Schaefer, Xinyi Liu, Guillaume Chomicki, Susanne S. Renner

This study uses ancient DNA from Song Dynasty melon seeds to show they were likely consumed as fresh or culinary fruits, not sweet dessert melons, and supports their introduction from the Asian domestication pool.

Proceedings of the National Academy of Sciences · Sep 4, 2026Peer-reviewedEvolutionary Biology

SAPTICoN, a robust no-code pipeline to analyze single cell transcriptomics data sets

Clement Pichot, Marion Verdenaud, Amandine Sandri, Gabriele Adam, Étienne Delannoy, Pierre Hilson

SAPTICoN provides a no-code pipeline for analyzing single-cell transcriptomics data across diverse species and tissues with limited genomic annotation.

bioRxiv · Mar 27, 2026 · PreprintBioinformatics