Author

Pascal Lafrenz

German Cancer Research CenterORCID 0000-0002-3791-3474Unclaimed ORCID profile · follow to get notified of new preprints

Biology Disciplines

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Signature Assays, Organisms & Methods

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Approach:benchmark study· 1 Research Focus:benchmarking· 1 Research Focus:cell-cell communication· 1 Assay:DNA methylation· 1 Approach:experimental assay· 1 Research Focus:gene regulatory network inference· 1 Organism:human· 1 Assay:multiome· 1

Frequent Co-Authors

Agata WilkiD· 1 shared Angelika MerkeliD· 1 shared Anne-Claire KrogeriD· 1 shared Antonella SarnataroiD· 1 shared Aurélien J. F. DugourdiD· 1 shared Bernd BukauiD· 1 shared Blerta Shtylla· 1 shared Chen Shen· 1 shared

Activity by Year

2024-2025 · peak 2/yr

Co-Author Collaboration Network

10 top collaborators · 16 mutual co-author links

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1 shared paperBioinformatics

Agata WilkORCID

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3 papers

Recent·Most cited

Pipeline Olympics: continuable benchmarking of computational workflows for DNA methylation sequencing data against an experimental gold-standard

Yu‐Yu Lin, Kersten Breuer, Dieter Weichenhan, Pascal Lafrenz, Antonella Sarnataro, Agata Wilk, Maryna Chepeleva, Oliver Mücke, Maximilian Schönung, Franziska Petermann, Philip Reiner Kensche, Lena Weiser, Frank Thommen, Gideon Giacomelli, Karl J. V. Nordström, , Pavlo Lutsik

The paper benchmarks DNA methylation sequencing workflows against an experimental gold-standard, identifying superior workflows and developing a sustainable benchmarking platform.

Nucleic Acids Research · Sep 12, 2025Peer-reviewedBioinformatics

A simple, fast and cost-efficient protocol for ultra-sensitive ribosome profiling

Jiří Koubek, Katharina Jetzinger, Shiran Dror, Mikel Irastortza‐Olaziregi, Dana Frank, Ilgin Eser Kotan, Jaime Santos, Frank Tippmann, Pascal Lafrenz, Henrik Kaessmann, Orna Amster‐Choder, Bernd Bukau, Günter Krämer

This paper introduces a new ribosome profiling protocol that is faster, cheaper, and more sensitive, enabling use with minimal RNA input.

Nucleic Acids Research · Sep 5, 2025Peer-reviewedSystems Biology

Modeling causal signal propagation in multi-omic factor space with COSMOS

Aurélien J. F. Dugourd, Pascal Lafrenz, Diego Mañanes, Víctor Patón, Robin Fallegger, Anne-Claire Kroger, Dénes Türei, Yunfan Bai, Yuxin Li, Michael Trogdon, Drew Nager, Shibing Deng, Chen Shen, John D. Lapek, Blerta Shtylla, Julio Sáez-Rodríguez

The paper introduces COSMOS+ to integrate mechanistic prior knowledge with multi-omics data analysis to generate mechanistic hypotheses about disease resistance mechanisms.

bioRxiv · Jul 15, 2024 · PreprintBioinformatics