Prosit: proteome-wide prediction of peptide tandem mass spectra by deep learning

Document type:: Zeitschriftenaufsatz
Author(s):: 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
Title:: Prosit: proteome-wide prediction of peptide tandem mass spectra by deep learning
Journal title:: Nature Methods
Year:: 2019
Journal volume:: 16
Journal issue:: 6
Pages contribution:: 509-518
Fulltext / DOI:: doi:10.1038/s41592-019-0426-7
Publisher:: Springer Science and Business Media LLC
E-ISSN:: 1548-70911548-7105
Date of publication:: 27.05.2019
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