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Pfeuffer, J.* ; Bielow, C.* ; Wein, S.* ; Jeong, K.* ; Netz, E.* ; Walter, A.* ; Alka, O.* ; Nilse, L.* ; Colaianni, P.D.* ; McCloskey, D.* ; Kim, J.* ; Rosenberger, G.* ; Bichmann, L.* ; Walzer, M.* ; Veit, J.* ; Boudaud, B.* ; Bernt, M.* ; Patikas, N.* ; Pilz, M.* ; Startek, M.P.* ; Kutuzova, S.* ; Heumos, L. ; Charkow, J.* ; Sing, J.C.* ; Feroz, A.* ; Siraj, A.* ; Weisser, H.* ; Dijkstra, T.M.H.* ; Perez-Riverol, Y.* ; Röst, H.L.* ; Kohlbacher, O.* ; Sachsenberg, T.*

OpenMS 3 enables reproducible analysis of large-scale mass spectrometry data.

Nat. Methods 21, 365-367 (2024)
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Publication type Article: Journal article
Document type Letter to the Editor
Corresponding Author
ISSN (print) / ISBN 1548-7091
e-ISSN 1548-7105
Journal Nature Methods
Quellenangaben Volume: 21, Issue: 3, Pages: 365-367 Article Number: , Supplement: ,
Publisher Nature Publishing Group
Publishing Place New York, NY
Non-patent literature Publications
Reviewing status Peer reviewed
Institute(s) Institute of Computational Biology (ICB)
Lung Health and Immunity (LHI)
Grants 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