Author

Pacôme Prompsy

Centre National de la Recherche ScientifiqueORCID 0000-0003-4375-7583Unclaimed ORCID profile · follow to get notified of new preprints

Biology Disciplines

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Bioinformatics· 2 Cancer Biology· 1

Signature Assays, Organisms & Methods

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Approach:statistical model· 3 Assay:scATAC-seq· 2 Assay:scRNA-seq· 2 Research Focus:benchmarking· 1 Assay:bulk RNA-seq· 1 Research Focus:cancer & tumor microenvironment· 1 Research Focus:cell type annotation· 1 Assay:ChIP-seq· 1

Frequent Co-Authors

Céline VallotiD· 3 shared Justine MarsolieriD· 2 shared Ahmed DahmaniiD· 1 shared Christophe HuretiD· 1 shared Damarys LoewiD· 1 shared Elisabetta MarangoniiD· 1 shared Élodie MontaudoniD· 1 shared Félix Raimundo· 1 shared

Activity by Year

2020-2025 · peak 1/yr

Co-Author Collaboration Network

10 top collaborators · 37 mutual co-author links

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3 shared papersBioinformatics

Céline VallotORCID

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3 papers

Recent·Most cited

Identification of a shared persistence program in triple-negative breast cancer across treatments and patients

Léa Baudre, Grégoire Jouault, Pacôme Prompsy, Mélissa Saichi, Sarah Gastineau, Christophe Huret, Laura Sourd, Ahmed Dahmani, Élodie Montaudon, Florent Dingli, Damarys Loew, Elisabetta Marangoni, Justine Marsolier, Céline Vallot

The paper identifies a shared persistence program in triple-negative breast cancer across treatments and patients, revealing key drivers and mechanisms of drug resistance.

bioRxiv · Mar 17, 2025 · PreprintCancer Biology

Best practices for single-cell histone modification analysis

Félix Raimundo, Pacôme Prompsy, Jean‐Philippe Vert, Céline Vallot

The paper benchmarks scHPTM analysis pipelines to identify best practices for experimental design and data analysis.

bioRxiv · Sep 21, 2022 · PreprintBioinformatics

ChromSCape : an R/Shiny application for interactive analysis of single-cell chromatin profiles

Pacôme Prompsy, Pia Kirchmeier, Justine Marsolier, Marc Deloger, Nicolas Servant, Céline Vallot

ChromSCape is an R/Shiny tool for analyzing single-cell chromatin data, enabling subpopulation identification and differential region analysis in epigenomic studies.

Nature Communications · Nov 11, 2020Peer-reviewedBioinformatics