2024
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Adams, Charlotte; Gabriel, Wassim; Laukens, Kris; Picciani, Mario; Wilhelm, Mathias; Bittremieux, Wout; Boonen, Kurt: Fragment ion intensity prediction improves the identification rate of non-tryptic peptides in timsTOF. Nature Communications 15 (1), 2024 more…
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Gabriel, Wassim; Picciani, Mario; The, Matthew; Wilhelm, Mathias: Deep Learning-Assisted Analysis of Immunopeptidomics Data. In: Methods in Molecular Biology. Springer US, 2024 more…
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Kalhor, Mostafa; Lapin, Joel; Picciani, Mario; Wilhelm, Mathias: Rescoring Peptide Spectrum Matches: Boosting Proteomics Performance by Integrating Peptide Property Predictors into Peptide Identification. Molecular & Cellular Proteomics, 2024, 100798 more…
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Klaproth-Andrade, Daniela; Hingerl, Johannes; Bruns, Yanik; Smith, Nicholas H.; Träuble, Jakob; Wilhelm, Mathias; Gagneur, Julien: Deep learning-driven fragment ion series classification enables highly precise and sensitive de novo peptide sequencing. Nature Communications 15 (1), 2024 more…
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The, Matthew; Picciani, Mario; Jensen, Cecilia; Gabriel, Wassim; Kuster, Bernhard; Wilhelm, Mathias: AI-Assisted Processing Pipeline to Boost Protein Isoform Detection. In: Methods in Molecular Biology. Springer US, 2024 more…
2023
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Chiva, Cristina; Elhamraoui, Zahra; Solé, Amanda; Serret, Marc; Wilhelm, Mathias; Sabidó, Eduard: Assessment and Prediction of Human Proteotypic Peptide Stability for Proteomics Quantification. Analytical Chemistry 95 (37), 2023, 13746-13749 more…
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McGann, Chris D.; Barshop, William D.; Canterbury, Jesse D.; Lin, Chuwei; Gabriel, Wassim; Huang, Jingjing; Bergen, David; Zabrouskov, Vlad; Melani, Rafael D.; Wilhelm, Mathias; McAlister, Graeme C.; Schweppe, Devin K.: Real-Time Spectral Library Matching for Sample Multiplexed Quantitative Proteomics. Journal of Proteome Research 22 (9), 2023, 2836-2846 more…
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Neely, Benjamin A.; Dorfer, Viktoria; Martens, Lennart; Bludau, Isabell; Bouwmeester, Robbin; Degroeve, Sven; Deutsch, Eric W.; Gessulat, Siegfried; Käll, Lukas; Palczynski, Pawel; Payne, Samuel H.; Rehfeldt, Tobias Greisager; Schmidt, Tobias; Schwämmle, Veit; Uszkoreit, Julian; Vizcaíno, Juan Antonio; Wilhelm, Mathias; Palmblad, Magnus: Toward an Integrated Machine Learning Model of a Proteomics Experiment. Journal of Proteome Research 22 (3), 2023, 681-696 more…
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Picciani, Mario; Gabriel, Wassim; Giurcoiu, Victor‐George; Shouman, Omar; Hamood, Firas; Lautenbacher, Ludwig; Jensen, Cecilia Bang; Müller, Julian; Kalhor, Mostafa; Soleymaniniya, Armin; Kuster, Bernhard; The, Matthew; Wilhelm, Mathias: Oktoberfest: Open‐source spectral library generation and rescoring pipeline based on Prosit. PROTEOMICS 24 (8), 2023 more…
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Tretter, Celina; de Andrade Krätzig, Niklas; Pecoraro, Matteo; Lange, Sebastian; Seifert, Philipp; von Frankenberg, Clara; Untch, Johannes; Zuleger, Gabriela; Wilhelm, Mathias; Zolg, Daniel P.; Dreyer, Florian S.; Bräunlein, Eva; Engleitner, Thomas; Uhrig, Sebastian; Boxberg, Melanie; Steiger, Katja; Slotta-Huspenina, Julia; Ochsenreither, Sebastian; von Bubnoff, Nikolas; Bauer, Sebastian; Boerries, Melanie; Jost, Philipp J.; Schenck, Kristina; Dresing, Iska; Bassermann, Florian; Friess, Helmut; Reim, Daniel; Grützmann, Konrad; Pfütze, Katrin; Klink, Barbara; Schröck, Evelin; Haller, Bernhard; Kuster, Bernhard; Mann, Matthias; Weichert, Wilko; Fröhling, Stefan; Rad, Roland; Hiltensperger, Michael; Krackhardt, Angela M.: Proteogenomic analysis reveals RNA as a source for tumor-agnostic neoantigen identification. Nature Communications 14 (1), 2023 more…
2022
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Ekvall, Markus; Truong, Patrick; Gabriel, Wassim; Wilhelm, Mathias; Käll, Lukas: Prosit Transformer: A transformer for Prediction of MS2 Spectrum Intensities. Journal of Proteome Research 21 (5), 2022, 1359-1364 more…
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Gabriel, Wassim; The, Matthew; Zolg, Daniel P.; Bayer, Florian P.; Shouman, Omar; Lautenbacher, Ludwig; Schnatbaum, Karsten; Zerweck, Johannes; Knaute, Tobias; Delanghe, Bernard; Huhmer, Andreas; Wenschuh, Holger; Reimer, Ulf; Médard, Guillaume; Kuster, Bernhard; Wilhelm, Mathias: Prosit-TMT: Deep Learning Boosts Identification of TMT-Labeled Peptides. Analytical Chemistry, 2022 more…
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Giansanti, Piero; Samaras, Patroklos; Bian, Yangyang; Meng, Chen; Coluccio, Andrea; Frejno, Martin; Jakubowsky, Hannah; Dobiasch, Sophie; Hazarika, Rashmi R.; Rechenberger, Julia; Calzada-Wack, Julia; Krumm, Johannes; Mueller, Sebastian; Lee, Chien-Yun; Wimberger, Nicole; Lautenbacher, Ludwig; Hassan, Zonera; Chang, Yun-Chien; Falcomatà, Chiara; Bayer, Florian P.; Bärthel, Stefanie; Schmidt, Tobias; Rad, Roland; Combs, Stephanie E.; The, Matthew; Johannes, Frank; Saur, Dieter; de Angelis, Martin Hrabe; Wilhelm, Mathias; Schneider, Günter; Kuster, Bernhard: Mass spectrometry-based draft of the mouse proteome. Nature Methods, 2022 more…
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Lautenbacher, Ludwig; Samaras, Patroklos; Muller, Julian; Grafberger, Andreas; Shraideh, Marwin; Rank, Johannes; Fuchs, Simon T; Schmidt, Tobias K; The, Matthew; Dallago, Christian; Wittges, Holger; Rost, Burkhard; Krcmar, Helmut; Kuster, Bernhard; Wilhelm, Mathias: ProteomicsDB: toward a FAIR open-source resource for life-science research. Nucleic Acids Research, 2022 more…
2021
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Schmidt, Tobias; Samaras, Patroklos; Dorfer, Viktoria; Panse, Christian; Kockmann, Tobias; Bichmann, Leon; van Puyvelde, Bart; Perez-Riverol, Yasset; Deutsch, Eric W.; Kuster, Bernhard; Wilhelm, Mathias: Universal Spectrum Explorer: A Standalone (Web-)Application for Cross-Resource Spectrum Comparison. Journal of Proteome Research 20 (6), 2021, 3388-3394 more…
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Verbruggen, Steven; Gessulat, Siegfried; Gabriels, Ralf; Matsaroki, Anna; Van de Voorde, Hendrik; Kuster, Bernhard; Degroeve, Sven; Martens, Lennart; Van Criekinge, Wim; Wilhelm, Mathias; Menschaert, Gerben: Spectral Prediction Features as a Solution for the Search Space Size Problem in Proteogenomics. Molecular & Cellular Proteomics 20, 2021, 100076 more…
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Wilhelm, Mathias; Zolg, Daniel P.; Graber, Michael; Gessulat, Siegfried; Schmidt, Tobias; Schnatbaum, Karsten; Schwencke-Westphal, Celina; Seifert, Philipp; de Andrade Krätzig, Niklas; Zerweck, Johannes; Knaute, Tobias; Bräunlein, Eva; Samaras, Patroklos; Lautenbacher, Ludwig; Klaeger, Susan; Wenschuh, Holger; Rad, Roland; Delanghe, Bernard; Huhmer, Andreas; Carr, Steven A.; Clauser, Karl R.; Krackhardt, Angela M.; Reimer, Ulf; Kuster, Bernhard: Deep learning boosts sensitivity of mass spectrometry-based immunopeptidomics. Nature Communications 12 (1), 2021 more…
2020
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Searle, Brian C.; Swearingen, Kristian E.; Barnes, Christopher A.; Schmidt, Tobias; Gessulat, Siegfried; Küster, Bernhard; Wilhelm, Mathias: Generating high quality libraries for DIA MS with empirically corrected peptide predictions. Nature Communications 11 (1), 2020 more…
2019
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Gessulat, Siegfried; Schmidt, Tobias; Zolg, Daniel Paul; Samaras, Patroklos; Schnatbaum, Karsten; Zerweck, Johannes; Knaute, Tobias; Rechenberger, Julia; Delanghe, Bernard; Huhmer, Andreas; Reimer, Ulf; Ehrlich, Hans-Christian; Aiche, Stephan; Kuster, Bernhard; Wilhelm, Mathias: Prosit: proteome-wide prediction of peptide tandem mass spectra by deep learning. Nature Methods 16 (6), 2019, 509-518 more…
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Verbruggen, Steven; Ndah, Elvis; Van Criekinge, Wim; Gessulat, Siegfried; Kuster, Bernhard; Wilhelm, Mathias; Van Damme, Petra; Menschaert, Gerben: PROTEOFORMER 2.0: Further Developments in the Ribosome Profiling-assisted Proteogenomic Hunt for New Proteoforms. Molecular & Cellular Proteomics 18 (8), 2019, S126-S140 more…