Author

Zeno Sewald

Technical University of MunichORCID 0000-0002-9890-7967Unclaimed ORCID profile · follow to get notified of new preprints

Biology Disciplines

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Bioinformatics· 2

Signature Assays, Organisms & Methods

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Research Focus:benchmarking· 2 Approach:statistical model· 2 Research Focus:clustering· 1 Research Focus:database / resource· 1 Approach:machine learning (classical)· 1 Assay:metagenomics· 1 Assay:protein sequence· 1 Research Focus:software / tool· 1

Frequent Co-Authors

Alexander P.iD· 1 shared Antonios KioukisiD· 1 shared Burkhard RostiD· 1 shared Ilias LagkouvardosiD· 1 shared Klaus NeuhausiD· 1 shared MANUEL PLONERiD· 1 shared Markus ListiD· 1 shared Maurice BrenneriD· 1 shared

Activity by Year

2026-2026 · peak 2/yr

Co-Author Collaboration Network

10 top collaborators · 20 mutual co-author links

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1 shared paperBioinformatics

Alexander P.ORCID

Mutual co-authors in cluster

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2 papers

Recent·Most cited

TACTIC: hybrid denoising and clustering for robust 16S amplicon diversity estimates

Mohsen Pourjam, Zeno Sewald, Antonios Kioukis, Markus List, Klaus Neuhaus, Ilias Lagkouvardos

The paper introduces TACTIC, a tool that combines denoising and clustering to improve 16S rRNA diversity estimates by reducing inflation caused by within-species sequence variation.

bioRxiv · Oct 22, 2026 · PreprintBioinformatics

Pseudoperplexity Probes Memorization in Protein Language Models

Alexander P., MANUEL PLONER, Zeno Sewald, Tobias Senoner, Sebastian Franz, Maurice Brenner, Michael Heinzinger, Burkhard Rost

This study uses pseudoperplexity to assess whether ProtT5 memorizes its training data, finding detectable but limited memorization.

bioRxiv · Jun 10, 2026 · PreprintBioinformatics