Generating high quality libraries for DIA MS with empirically corrected peptide predictions

por Searle, Brian C., Swearingen, Kristian E., Barnes, Christopher A., Schmidt, Tobias, Gessulat, Siegfried, Küster, Bernhard, Wilhelm, Mathias
Publicado 2020

PROTEOFORMER 2.0: Further Developments in the Ribosome Profiling-assisted Proteogenomic Hunt for New Proteoforms

por Verbruggen, Steven, Ndah, Elvis, Van Criekinge, Wim, Gessulat, Siegfried, Kuster, Bernhard, Wilhelm, Mathias, Van Damme, Petra, Menschaert, Gerben
Publicado 2019

ProteomicsDB

por Schmidt, Tobias, Samaras, Patroklos, Frejno, Martin, Gessulat, Siegfried, Barnert, Maximilian, Kienegger, Harald, Krcmar, Helmut, Schlegl, Judith, Ehrlich, Hans-Christian, Aiche, Stephan, Kuster, Bernhard, Wilhelm, Mathias
Publicado 2018

Spectral Prediction Features as a Solution for the Search Space Size Problem in Proteogenomics

por 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
Publicado 2021

ProteomicsML: An Online Platform for Community-Curated Data sets and Tutorials for Machine Learning in Proteomics

por Rehfeldt, Tobias G., Gabriels, Ralf, Bouwmeester, Robbin, Gessulat, Siegfried, Neely, Benjamin A., Palmblad, Magnus, Perez-Riverol, Yasset, Schmidt, Tobias, Vizcaíno, Juan Antonio, Deutsch, Eric W.
Publicado 2023

ProteomicsDB: a multi-omics and multi-organism resource for life science research

por Samaras, Patroklos, Schmidt, Tobias, Frejno, Martin, Gessulat, Siegfried, Reinecke, Maria, Jarzab, Anna, Zecha, Jana, Mergner, Julia, Giansanti, Piero, Ehrlich, Hans-Christian, Aiche, Stephan, Rank, Johannes, Kienegger, Harald, Krcmar, Helmut, Kuster, Bernhard, Wilhelm, Mathias
Publicado 2020

Toward an Integrated Machine Learning Model of a Proteomics Experiment

por 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
Publicado 2023

Deep learning boosts sensitivity of mass spectrometry-based immunopeptidomics

por 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
Publicado 2021

Author Correction: Deep learning boosts sensitivity of mass spectrometry-based immunopeptidomics

por 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
Publicado 2021