Author

Antonella Sarnataro

KU LeuvenORCID 0009-0002-5195-697XUnclaimed 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:benchmark study· 1 Research Focus:benchmarking· 1 Research Focus:differential expression· 1 Approach:statistical model· 1 Assay:whole-genome sequencing· 1

Frequent Co-Authors

Agata WilkiD· 1 shared Angelika MerkeliD· 1 shared Chris Lawerenz· 1 shared Christoph BockiD· 1 shared Christoph PlassiD· 1 shared Clarissa GerhäuseriD· 1 shared Daniel B. LipkaiD· 1 shared Dieter WeichenhaniD· 1 shared

Activity by Year

2022-2025 · peak 1/yr

Co-Author Collaboration Network

10 top collaborators · 45 mutual co-author links

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1 shared paperBioinformatics

Agata WilkORCID

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2 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

MC profiling: a novel approach to analyze DNA methylation heterogeneity from bulk bisulfite sequencing data

Giulia De Riso, Antonella Sarnataro, Giovanni Scala, Mariella Cuomo, Rosa Della Monica, Stefano Amente, Lorenzo Chiariotti, Gennaro Miele, Sergio Cocozza

The paper introduces MC profiling to analyze DNA methylation heterogeneity from bulk bisulfite sequencing data, revealing cell-to-cell differences and imprinting/X-inactivation signatures.

bioRxiv · Jul 6, 2022 · PreprintBioinformatics