möglich sobald bei der ZB eingereicht worden ist.
OpenMS 3 enables reproducible analysis of large-scale mass spectrometry data.
Nat. Methods 21, 365-367 (2024)
Publikationstyp
Artikel: Journalartikel
Dokumenttyp
Letter to the Editor
ISSN (print) / ISBN
1548-7091
e-ISSN
1548-7105
Zeitschrift
Nature Methods
Quellenangaben
Band: 21,
Heft: 3,
Seiten: 365-367
Verlag
Nature Publishing Group
Verlagsort
New York, NY
Nichtpatentliteratur
Publikationen
Begutachtungsstatus
Peer reviewed
Förderungen
TRR (TP Z03)
Deutsche Forschungsgemeinschaft (DFG, German Research Foundation)
European Research Area Network Personalized Medicine Cofund (PerProGlio)
Ontario Graduate Scholarship
Ontario Genomics Institute
Government of Canada through Genome Canada
European Union
Ministry of Science, Research and Arts Baden-Wurttemberg
Forschungscampus MODAL
De.NBI
TUE.AI.
Analytics for Biologics (H2020-MSCA-ITN-2017)
EU H2020 project EPIC-XS
Wellcome
EMBL core funding
Polish National Science Centre
EU H2020 project EPIC-XS (H2020-INFRAIA)
Horizon 2020
Chan Zuckerberg EOSS program
Deutsche Forschungsgemeinschaft (DFG, German Research Foundation)
European Research Area Network Personalized Medicine Cofund (PerProGlio)
Ontario Graduate Scholarship
Ontario Genomics Institute
Government of Canada through Genome Canada
European Union
Ministry of Science, Research and Arts Baden-Wurttemberg
Forschungscampus MODAL
De.NBI
TUE.AI.
Analytics for Biologics (H2020-MSCA-ITN-2017)
EU H2020 project EPIC-XS
Wellcome
EMBL core funding
Polish National Science Centre
EU H2020 project EPIC-XS (H2020-INFRAIA)
Horizon 2020
Chan Zuckerberg EOSS program