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Nature Communications|January 3, 2024
Deep learning-driven fragment ion series classification enables highly precise and sensitive de novo peptide sequencingDaniela Klaproth-Andrade, Johannes Hingerl, Yanik Bruns, et al.Molecular & Cellular Proteomics : MCP|December 26, 2025
Modanovo: A Unified Model for Post-Translational Modification-Aware de Novo Sequencing Using Experimental Spectra from In Vivo and Synthetic PeptidesDaniela Klaproth-Andrade, Yanik Bruns, Wassim Gabriel, et al.Bioinformatics (Oxford, England)|November 20, 2025
PROTRIDER: protein abundance outlier detection from mass spectrometry-based proteomics data with a conditional autoencoderDaniela Klaproth-Andrade, Ines F Scheller, Georgios Tsitsiridis, et al.Nature Protocols|January 19, 2021
Detection of aberrant gene expression events in RNA sequencing dataVicente A Yépez, Christian Mertes, Michaela F Müller, et al.Journal of Proteome Research|December 30, 2025
Improvements to Casanovo, a Deep Learning <i>De Novo</i> Peptide SequencerGwenneth Straub, Varun Ananth, William E Fondrie, et al.Pageof 1