Author

Markus Götz

Karlsruhe Institute of TechnologyORCID 0000-0002-2233-1041Unclaimed ORCID profile · follow to get notified of new preprints

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Markus Götz1 paper

Biology Disciplines

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Research Focus:benchmarking· 1 Approach:deep learning· 1 Assay:long-read sequencing· 1 Research Focus:protein structure prediction· 1 Assay:proteomics· 1 Research Focus:sequence-to-function modeling· 1 Approach:transformer / foundation model· 1

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Alexander H. SchugiD· 1 shared Julian M. HeroldiD· 1 shared Utkarsh UpadhyayiD· 1 shared

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2025-2025 · peak 1/yr

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1 shared paperBiophysics

Alexander H. SchugORCID

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1 paper

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BiophysicsbioRxivPreprintSep 2, 2025

NucleicBERT: Deciphering the language of nucleic acids

Utkarsh Upadhyay, Julian M. Herold, Markus Götz, Alexander H. Schug

NucleicBERT is a self-supervised masked-language model for RNA that learns contextual representations without alignments or evolutionary data, outperforming existing models in structural and functional tasks.

DOI 10.1101/2025.09.02.673754

long-read sequencingproteomics

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