Author

Benjamin Prud’homme

Centre National de la Recherche ScientifiqueORCID 0000-0003-2889-9081Unclaimed ORCID profile · follow to get notified of new preprints

Additional preprints under this name without ORCID

Benjamin Prud’homme1 paper

Biology Disciplines

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Genetics· 2 Bioinformatics· 1

Signature Assays, Organisms & Methods

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Research Focus:cell type annotation· 2 Organism:Drosophila· 2 Research Focus:gene regulatory network inference· 2 Assay:ChIP-seq· 1 Research Focus:clustering· 1 Approach:deep learning· 1 Research Focus:differential expression· 1 Approach:experimental assay· 1

Frequent Co-Authors

Benoît AigouyiD· 1 shared Bettina MühlingiD· 1 shared Charalampos Chrysovalantis GalouzisiD· 1 shared Claudio R. CortésiD· 1 shared David Bunk· 1 shared David HörliD· 1 shared Deepak Dharmadhikari· 1 shared Eamonn MurphyiD· 1 shared

Activity by Year

2020-2021 · peak 2/yr

Co-Author Collaboration Network

10 top collaborators · 22 mutual co-author links

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1 shared paperBioinformatics

Benoît AigouyORCID

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3 papers

Recent·Most cited

GeneticsSciencePeer-reviewedJan 21, 2021

trans-homolog interaction regulates the sex-biased expression of an X-linked gene

Charalampos Chrysovalantis Galouzis, Benjamin Prud’homme

The paper shows that trans-homolog interactions between X-linked alleles regulate sex-biased expression of the yellow gene in Drosophila.

35 citations

Drosophilaexperimental assay

𝕏 PostBluesky

GeneticsbioRxivPreprintJun 24, 2020

Deciphering the regulatory logic of a Drosophila enhancer through systematic sequence mutagenesis and quantitative image analysis

Yann Le Poul, Yaqun Xin, Liucong Ling…·Nicolas Gompel

The paper quantifies the spatial activity of a Drosophila enhancer through sequence mutagenesis and image analysis, revealing dense regulatory information and novel regulatory logic.

2 citations

DrosophilaChIP-seq

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BioinformaticsDevelopmentPeer-reviewedJan 1, 2020

EPySeg: a coding-free solution for automated segmentation of epithelia using deep learning

Benoît Aigouy, Claudio R. Cortés, Shanda Liu, Benjamin Prud’homme

EPySeg provides a coding-free deep learning tool for automated epithelial tissue segmentation, improving efficiency and reducing manual effort in developmental biology research.

54 citations

imagingdeep learning

𝕏 PostBluesky