Author

Kersten Breuer

German Cancer Research CenterORCID 0000-0003-3716-7739Unclaimed ORCID profile · follow to get notified of new preprints

Biology Disciplines

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Signature Assays, Organisms & Methods

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Assay:DNA methylation· 2 Approach:statistical model· 2 Approach:benchmark study· 1 Research Focus:benchmarking· 1 Assay:bulk RNA-seq· 1 Research Focus:cell type annotation· 1 Research Focus:deconvolution· 1 Approach:deep learning· 1

Frequent Co-Authors

Christoph PlassiD· 3 shared Pavlo LutsikiD· 3 shared Daniel B. LipkaiD· 2 shared Dieter WeichenhaniD· 2 shared Mark HartmanniD· 2 shared Matthias SchlesneriD· 2 shared Maximilian SchönungiD· 2 shared Agata WilkiD· 1 shared

Activity by Year

2022-2025 · peak 2/yr

Co-Author Collaboration Network

10 top collaborators · 43 mutual co-author links

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3 shared papersBioinformatics

Christoph PlassORCID

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3 papers

Recent·Most cited

BioinformaticsNucleic Acids ResearchPeer-reviewedSep 12, 2025

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

Yu‐Yu Lin, Kersten Breuer, Dieter Weichenhan…·Pavlo Lutsik

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

3 citations

whole-genome sequencingDNA methylation

𝕏 PostBluesky

Cancer BiologyBlood Cancer DiscoveryPeer-reviewedMar 31, 2025

Pyjacker identifies enhancer hijacking events in acute myeloid leukemia including MNX1 activation via deletion 7q

Etienne Sollier, Anna Riedel, Umut H. Toprak…·Christoph Plass

Pyjacker detects enhancer hijacking in AML, identifying MNX1 activation via 7q deletion as a novel oncogenic mechanism.

8 citationstop 4%

humanbulk RNA-seq

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BioinformaticsBriefings in BioinformaticsPeer-reviewedJul 6, 2022

Systematic evaluation of cell-type deconvolution pipelines for sequencing-based bulk DNA methylomes

Yunhee Jeong, Lisa Barros de Andrade e Sousa, Dominik Thalmeier…·Pavlo Lutsik

This study benchmarks six sequencing-based and two array-based cell-type deconvolution methods for bulk DNA methylomes, identifying the best-performing method and factors affecting performance.

24 citations

DNA methylationstatistical model

𝕏 PostBluesky