Siegfried Gessulat

ORCID

Publication Activity (10 Years)

Years Active: 2019-2021
Publications (10 Years): 5

Top Venues

Nature communications

Rapid communications in mass spectrometry : RCM

Nature methods

MSAID

Technical University Munich (PHD)

This page only lists publications with an associated author ORCID identifier.

Affiliation History

MSAID

Germany

Lead Machine Learning

Education History

Technical University Munich Jan 01 2016

Germany

PHD :: Proteomics and Bioanalytics

Freie Universität Berlin Oct 01 2011 - Oct 31 2014

Germany

MSC :: Computer Science

Publications

Mathias Wilhelm, Daniel P Zolg, Michael Graber, Siegfried Gessulat, Tobias K Schmidt, Karsten Schnatbaum, Celina Tretter, Philipp Seifert, Niklas de Andrade Krätzig, Johannes Zerweck, Tobias Knaute, Eva Bräunlein, Patroklos Samaras, Ludwig Lautenbacher, Susan Klaeger, Holger Wenschuh, Roland Rad, Bernard Delanghe, Andreas Huhmer, Steven A Carr, Karl R Clauser, Angela M Krackhardt, Ulf Reimer, Bernhard Kuster
Author Correction: Deep learning boosts sensitivity of mass spectrometry-based immunopeptidomics. Nature communications 12 (1) (2021)
Daniel P Zolg, Siegfried Gessulat, Carmen Paschke, Michael Graber, Magnus Rathke-Kuhnert, Florian Seefried, Kai Fitzemeier, Frank Berg, Daniel Lopez-Ferrer, David Horn, Christoph Henrich, Andreas Huhmer, Bernard Delanghe, Martin Frejno
INFERYS rescoring: Boosting peptide identifications and scoring confidence of database search results. Rapid communications in mass spectrometry : RCM (2021)
Mathias Wilhelm, Daniel P Zolg, Michael Graber, Siegfried Gessulat, Tobias K Schmidt, Karsten Schnatbaum, Celina Tretter, Philipp Seifert, Niklas de Andrade Krätzig, Johannes Zerweck, Tobias Knaute, Eva Bräunlein, Patroklos Samaras, Ludwig Lautenbacher, Susan Klaeger, Holger Wenschuh, Roland Rad, Bernard Delanghe, Andreas Huhmer, Steven A Carr, Karl R Clauser, Angela M Krackhardt, Ulf Reimer, Bernhard Kuster
Deep learning boosts sensitivity of mass spectrometry-based immunopeptidomics. Nature communications 12 (1) (2021)
Brian C Searle, Kristian E Swearingen, Christopher A Barnes, Tobias K Schmidt, Siegfried Gessulat, Bernhard Kuster, Mathias Wilhelm
Generating high quality libraries for DIA MS with empirically corrected peptide predictions. Nature communications 11 (1) (2020)
Siegfried Gessulat, Tobias Schmidt, Daniel Paul Zolg, Patroklos Samaras, Karsten Schnatbaum, Johannes Zerweck, Tobias Knaute, Julia Rechenberger, Bernard Delanghe, Andreas Huhmer, Ulf Reimer, Hans-Christian Ehrlich, Stephan Aiche, Bernhard Kuster, Mathias Wilhelm
Prosit: proteome-wide prediction of peptide tandem mass spectra by deep learning. Nature methods 16 (6) (2019)

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Publication Activity (10 Years)

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Siegfried Gessulat