Author

Maik Böhmer

Goethe University FrankfurtORCID 0000-0001-6675-273XUnclaimed ORCID profile · follow to get notified of new preprints

Biology Disciplines

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Molecular Biology· 1

Signature Assays, Organisms & Methods

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Organism:Arabidopsis· 1 Research Focus:benchmarking· 1 Assay:Ribo-seq· 1 Approach:statistical model· 1

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Dario A. RicciardiiD· 1 shared Franziska E. PeteriD· 1 shared

Activity by Year

2026-2026 · peak 1/yr

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1 shared paperMolecular Biology

Dario A. RicciardiORCID

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1 paper

Recent·Most cited

Molecular BiologyScientific ReportsPeer-reviewedMar 9, 2026

Data-driven design of LNA-blockers for efficient contaminant removal in Ribo-seq libraries

Dario A. Ricciardi, Franziska E. Peter, Maik Böhmer

The paper presents a computational workflow to design LNA-blockers for removing contaminants from Ribo-seq libraries, improving sequencing yield and reducing costs.

DOI 10.1038/s41598-026-43117-3

ArabidopsisRibo-seq

𝕏 PostBluesky