Author

Johan Rollin

University of FreiburgORCID 0000-0002-9564-7872Unclaimed ORCID profile · follow to get notified of new preprints

Biology Disciplines

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Signature Assays, Organisms & Methods

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Approach:statistical model· 3 Research Focus:cell type annotation· 2 Research Focus:differential expression· 2 Assay:ATAC-seq· 1 Research Focus:benchmarking· 1 Assay:bulk RNA-seq· 1 Approach:deep learning· 1 Research Focus:dimensionality reduction· 1

Frequent Co-Authors

Tanja VogeliD· 2 shared Camila L. FullioiD· 1 shared Camila VidosiD· 1 shared Harald BinderiD· 1 shared Jasper MengeriD· 1 shared Maira MirzaiD· 1 shared Maren HackenbergiD· 1 shared Sébastien MassartiD· 1 shared

Activity by Year

2023-2026 · peak 1/yr

Co-Author Collaboration Network

10 top collaborators · 20 mutual co-author links

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2 shared papersNeuroscience

Tanja VogelORCID

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Author profile →

3 papers

Recent·Most cited

Epigenetic perturbation unravels diverse origins, state conversions and de-differentiation of cortical astrocytes

Maira Mirza, Tobias Hohl, Camila L. Fullio, Camila Vidos, Johan Rollin, Thomas Manke, Tanja Vogel

This study investigates the role of DOT1L in astrogenesis, identifying its role in maintaining astrocyte states and revealing multiple origins and state conversions of cortical astrocytes.

bioRxiv · Sep 12, 2026 · PreprintNeuroscience

Adding layers of information to scRNA-seq data using pre-trained language models

Sonia Maria Krissmer, Jasper Menger, Johan Rollin, Tanja Vogel, Harald Binder, Maren Hackenberg

The paper fine-tunes biomedical language models to integrate text-based knowledge with scRNA-seq data, enhancing cell identity preservation and adding functional and disease-related context.

bioRxiv · Aug 23, 2025 · PreprintBioinformatics

Cont-ID:Detection of samples cross-contamination in viral metagenomic data

Johan Rollin, Wei Rong, Sébastien Massart

Cont-ID detects cross-contamination in viral metagenomic data by analyzing read abundance and duplication across samples with an external control, achieving 91% accuracy.

BMC Biology · Oct 13, 2023Peer-reviewedBioinformatics