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Title:
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
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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mediaTUM Gesamtbestand
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2019
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Küster, Bernhard
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Research Area: Medical Natural Sciences
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Focus Group: Understanding How Cancer Drugs Work