Author

Stephen Krämer

University of AugsburgORCID 0000-0002-9585-9330Unclaimed ORCID profile · follow to get notified of new preprints

Biology Disciplines

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Signature Assays, Organisms & Methods

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Research Focus:differential expression· 2 Assay:DNA methylation· 2 Research Focus:gene regulatory network inference· 2 Approach:statistical model· 2 Approach:benchmark study· 1 Research Focus:benchmarking· 1 Assay:bulk RNA-seq· 1 Assay:ChIP-seq· 1

Frequent Co-Authors

Matthias SchlesneriD· 3 shared Daniel B. LipkaiD· 2 shared Mark HartmanniD· 2 shared Maximilian SchönungiD· 2 shared Pavlo LutsikiD· 2 shared Agata WilkiD· 1 shared Angelika MerkeliD· 1 shared Antonella SarnataroiD· 1 shared

Activity by Year

2017-2025 · peak 1/yr

Co-Author Collaboration Network

10 top collaborators · 31 mutual co-author links

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3 shared papersGenomics

Matthias SchlesnerORCID

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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

Dynamic DNA methylation reveals novel cis-regulatory elements in murine hematopoiesis

Maximilian Schönung, Mark Hartmann, Stephen Krämer, Sina Stäble, Mariam Hakobyan, Emely Kleinert, Theo Aurich, Defne Cobanoglu, Florian Heinrich Heidel, Stefan Fröhling, Michael D. Milsom, Matthias Schlesner, Pavlo Lutsik, Daniel B. Lipka

The paper develops a computational framework for analyzing DNA methylation data in mouse hematopoiesis, identifying novel cis-regulatory elements associated with gene expression during differentiation.

Experimental Hematology · Nov 8, 2022Peer-reviewedGenomics

Deciphering programs of transcriptional regulation by combined deconvolution of multiple omics layers

Daniel Hüebschmann, Nils Kurzawa, Sebastian Steinhauser, Philipp Rentzsch, Stephen Krämer, Carolin Andresen, Jeongbin Park, Roland Eils, Matthias Schlesner, Carl Herrmann

The paper introduces a method to disentangle multi-omics data and identifies regulatory mechanisms in human blood cells.

bioRxiv · Oct 8, 2017 · PreprintGenomics