Author

Sébastien Jaeger

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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Bioinformatics· 2 Immunology· 1

Signature Assays, Organisms & Methods

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Approach:statistical model· 3 Research Focus:benchmarking· 1 Assay:ChIP-seq· 1 Research Focus:chromatin & epigenetic regulation· 1 Assay:CITE-seq· 1 Research Focus:clustering· 1 Research Focus:database / resource· 1 Assay:DNA methylation· 1

Frequent Co-Authors

Arnaud Meyroneinc· 1 shared Denis ThieffryiD· 1 shared Edgardo Ugalde· 1 shared Jacques van HeldeniD· 1 shared Jaime Abraham Castro-MondragoniD· 1 shared Lionel SpinelliiD· 1 shared Marie Bonnet· 1 shared Morgane Thomas‐ChollieriD· 1 shared

Activity by Year

2017-2023 · peak 2/yr

Co-Author Collaboration Network

10 top collaborators · 13 mutual co-author links

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1 shared paperImmunology

Arnaud Meyroneinc

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Author profile →

3 papers

Recent·Most cited

ShIVA, a user-friendly and interactive interface giving biologists control over their single-cell RNA-seq data.

Rudy Aussel, Muhammad Asif, Sabrina Chenag, Sébastien Jaeger, Pierre J. Milpied, Lionel Spinelli

ShIVA provides a user-friendly interface for biologists to analyze single-cell RNA-seq and CITE-seq data using Seurat v4, enabling reproducible analysis and visualization.

Scientific Reports · Sep 1, 2023Peer-reviewedBioinformatics

A dynamical model of TCRβ gene recombination: Coupling the initiation of Dβ-Jβ rearrangement to TCRβ allelic exclusion

Sébastien Jaeger, Ricardo Lima, Arnaud Meyroneinc, Marie Bonnet, Edgardo Ugalde, Pierre Ferrier

The paper develops a computational model to explain TCRβ allelic exclusion by linking Dβ-Jβ rearrangement initiation to allele-specific epigenetic activation.

bioRxiv · Oct 9, 2017 · PreprintImmunology

RSAT matrix-clustering: dynamic exploration and redundancy reduction of transcription factor binding motif collections

Jaime Abraham Castro-Mondragon, Sébastien Jaeger, Denis Thieffry, Morgane Thomas‐Chollier, Jacques van Helden

The paper introduces matrix-clustering, a tool that reduces redundancy and clusters transcription factor binding motifs from multiple sources, improving interpretation of motif collections.

Nucleic Acids Research · Jun 4, 2017Peer-reviewedBioinformatics