Deep learning-driven fragment ion series classification enables highly precise and sensitive de novo peptide sequencing
- Standort
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Deutsche Nationalbibliothek Frankfurt am Main
- Umfang
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1 Online-Ressource.
- Sprache
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Englisch
- Erschienen in
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Deep learning-driven fragment ion series classification enables highly precise and sensitive de novo peptide sequencing ; volume:15 ; number:1 ; day:2 ; month:1 ; year:2024 ; pages:1-14 ; date:12.2024
Nature Communications ; 15, Heft 1 (2.1.2024), 1-14, 12.2024
- Urheber
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Klaproth-Andrade, Daniela
Hingerl, Johannes
Bruns, Yanik
Smith, Nicholas H.
Träuble, Jakob
Wilhelm, Mathias
Gagneur, Julien
- Beteiligte Personen und Organisationen
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SpringerLink (Online service)
- DOI
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10.1038/s41467-023-44323-7
- URN
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urn:nbn:de:101:1-2024031810415929446669
- Rechteinformation
-
Open Access; Der Zugriff auf das Objekt ist unbeschränkt möglich.
- Letzte Aktualisierung
- 14.08.2025, 08:54 UTC
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Beteiligte
- Klaproth-Andrade, Daniela
- Hingerl, Johannes
- Bruns, Yanik
- Smith, Nicholas H.
- Träuble, Jakob
- Wilhelm, Mathias
- Gagneur, Julien
- SpringerLink (Online service)
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