Author

Yanik Bruns

Technical University of Munich

Listed by name: these papers carry no ORCID for this author, so different people with the same name may be mixed together.

Biology Disciplines

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Bioinformatics· 2

Signature Assays, Organisms & Methods

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Research Focus:benchmarking· 2 Research Focus:software / tool· 2 Research Focus:deconvolution· 1 Research Focus:imputation· 1 Assay:long-read sequencing· 1 Approach:machine learning (classical)· 1 Research Focus:protein structure prediction· 1 Assay:proteomics· 1

Frequent Co-Authors

Daniela Klaproth-AndradeiD· 2 shared Julien GagneuriD· 2 shared Mathias WilhelmiD· 2 shared Andreas PichlmairiD· 1 shared Christian NixiD· 1 shared Samuel Khan· 1 shared Valter BergantiD· 1 shared Wassim GabrieliD· 1 shared

Activity by Year

2025-2026 · peak 1/yr

Co-Author Collaboration Network

8 top collaborators · 24 mutual co-author links

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2 shared papersBioinformatics

Daniela Klaproth-AndradeORCID

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2 papers

Recent·Most cited

PepPr: De Novo peptide sequencing with peptide priors

Samuel Khan, Daniela Klaproth-Andrade, Yanik Bruns, Mathias Wilhelm, Julien Gagneur

PepPr improves peptide sequencing by integrating peptide priors, enhancing reference and variant peptide identification while maintaining discovery flexibility.

bioRxiv · Oct 28, 2026 · PreprintBioinformatics

Modanovo: A Unified Model for Post-Translational Modification-Aware de Novo Sequencing Using Experimental Spectra from In Vivo and Synthetic Peptides

Daniela Klaproth-Andrade, Yanik Bruns, Wassim Gabriel, Christian Nix, Valter Bergant, Andreas Pichlmair, Mathias Wilhelm, Julien Gagneur

Modanovo is a de novo peptide sequencing model that handles post-translational modifications, outperforming existing methods and complementing database searches in phosphoproteomics.

Molecular & Cellular Proteomics · Dec 25, 2025Peer-reviewedBioinformatics