Author

Benjamin Forêt

Centre National de la Recherche Scientifique

Listed by name: these papers carry no ORCID for this author, so different people with the same name may be mixed together.

Biology Disciplines

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Genomics· 1 Molecular Biology· 1

Signature Assays, Organisms & Methods

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Assay:bulk RNA-seq· 2 Research Focus:differential expression· 2 Research Focus:gene regulatory network inference· 2 Organism:mouse· 2 Research Focus:benchmarking· 1 Assay:ChIP-seq· 1 Approach:experimental assay· 1 Approach:machine learning (classical)· 1

Frequent Co-Authors

Édith HeardiD· 2 shared Laurène SyxiD· 2 shared Annalisa MarsicoiD· 1 shared Anne-Valérie GendreliD· 1 shared Ava C. CarteriD· 1 shared Chongjian Chen· 1 shared Christel PicardiD· 1 shared Dina ZielinskiiD· 1 shared

Activity by Year

2019-2021 · peak 1/yr

Co-Author Collaboration Network

10 top collaborators · 29 mutual co-author links

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2 shared papersMolecular Biology

Édith HeardORCID

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2 papers

Recent·Most cited

Locus specific epigenetic modalities of random allelic expression imbalance

Lucile Marion‐Poll, Benjamin Forêt, Dina Zielinski, Florian Massip, Mikaël Attia, Ava C. Carter, Laurène Syx, Howard Y. Chang, Anne-Valérie Gendrel, Édith Heard

The paper investigates random monoallelic expression (RME) in F1 hybrid mouse cells before and after differentiation, revealing gene-specific, epigenetically regulated modes of allelic expression.

Nature Communications · Sep 9, 2021Peer-reviewedMolecular Biology

Kinetics of Xist-induced gene silencing can be predicted from combinations of epigenetic and genomic features

Lisa Barros de Andrade e Sousa, Iris H. Jonkers, Laurène Syx, Ilona Dunkel, Julie Chaumeil, Christel Picard, Benjamin Forêt, Chongjian Chen, John T. Lis, Édith Heard, Edda G. Schulz, Annalisa Marsico

The paper predicts Xist-induced gene silencing kinetics using a Random Forest model based on epigenetic and genomic features, identifying key factors like distance to Xist and promoter pre-marking.

Genome Research · Jul 1, 2019Peer-reviewedGenomics