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2023
2022
- Prosit Transformer: A transformer for Prediction of MS2 Spectrum Intensities. Journal of Proteome Research 21 (5), 2022, 1359-1364 more…
- Prosit-TMT: Deep Learning Boosts Identification of TMT-Labeled Peptides. Analytical Chemistry, 2022 more…
- Mass spectrometry-based draft of the mouse proteome. Nature Methods, 2022 more…
- ProteomicsDB: toward a FAIR open-source resource for life-science research. Nucleic Acids Research, 2022 more…
2021
- Universal Spectrum Explorer: A Standalone (Web-)Application for Cross-Resource Spectrum Comparison. Journal of Proteome Research 20 (6), 2021, 3388-3394 more…
- Spectral Prediction Features as a Solution for the Search Space Size Problem in Proteogenomics. Molecular & Cellular Proteomics 20, 2021, 100076 more…
- Deep learning boosts sensitivity of mass spectrometry-based immunopeptidomics. Nature Communications 12 (1), 2021 more…
2020
- Generating high quality libraries for DIA MS with empirically corrected peptide predictions. Nature Communications 11 (1), 2020 more…
2019
- Prosit: proteome-wide prediction of peptide tandem mass spectra by deep learning. Nature Methods 16 (6), 2019, 509-518 more…
- PROTEOFORMER 2.0: Further Developments in the Ribosome Profiling-assisted Proteogenomic Hunt for New Proteoforms. Molecular & Cellular Proteomics 18 (8), 2019, S126-S140 more…