- Standort
-
Deutsche Nationalbibliothek Frankfurt am Main
- Umfang
-
Online-Ressource
- Sprache
-
Englisch
- Erschienen in
-
An integrated workflow for crosslinking mass spectrometry ; volume:15 ; number:9 ; year:2019 ; extent:13
Molecular systems biology ; 15, Heft 9 (2019) (gesamt 13)
- Urheber
-
Mendes, Marta
Fischer, Lutz
Chen, Zhuo A.
Barbon, Marta
O'Reilly, Francis J.
Giese, Sven H.
Bohlke‐Schneider, Michael
Belsom, Adam
Dau, Therese
Combe, Colin W.
Graham, Martin
Eisele, Markus R.
Baumeister, Wolfgang
Speck, Christian
Rappsilber, Juri
- DOI
-
10.15252/msb.20198994
- URN
-
urn:nbn:de:101:1-2022072009585092141579
- Rechteinformation
-
Open Access; Der Zugriff auf das Objekt ist unbeschränkt möglich.
- Letzte Aktualisierung
-
15.08.2025, 07:26 MESZ
Datenpartner
Dieses Objekt wird bereitgestellt von:
Deutsche Nationalbibliothek. Bei Fragen zum Objekt wenden Sie sich bitte an den Datenpartner.
Deutsche Nationalbibliothek. Bei Fragen zum Objekt wenden Sie sich bitte an den Datenpartner.
Beteiligte
- Mendes, Marta
- Fischer, Lutz
- Chen, Zhuo A.
- Barbon, Marta
- O'Reilly, Francis J.
- Giese, Sven H.
- Bohlke‐Schneider, Michael
- Belsom, Adam
- Dau, Therese
- Combe, Colin W.
- Graham, Martin
- Eisele, Markus R.
- Baumeister, Wolfgang
- Speck, Christian
- Rappsilber, Juri
Ähnliche Objekte (12)
Selective cross‐linking of coinciding protein assemblies by in‐gel cross‐linking mass spectrometry
Data analysis strategies for proteome-wide crosslinking mass spectrometry
Data-independent acquisition improves quantitative cross-linking mass spectrometry
Crosslinking and Mass Spectrometry : An Integrated Technology to Understand the Structure and Function of Molecular Machines
Investigating chemical crosslinking of protein-RNA complexes by mass spectrometry
Reliable identification of protein-protein interactions by crosslinking mass spectrometry
Modelling protein complexes with crosslinking mass spectrometry and deep learning
An automated proteomic data analysis workflow for mass spectrometry
Computational methods and machine learning for crosslinking mass spectrometry data analysis
Protein - protein interaction studies by chemical cross-linking and mass spectrometry
Mimicked synthetic ribosomal protein complex for benchmarking crosslinking mass spectrometry workflows
Toward Increased Reliability, Transparency, and Accessibility in Cross-linking Mass Spectrometry
Selective cross‐linking of coinciding protein assemblies by in‐gel cross‐linking mass spectrometry
Data analysis strategies for proteome-wide crosslinking mass spectrometry
Data-independent acquisition improves quantitative cross-linking mass spectrometry
Crosslinking and Mass Spectrometry : An Integrated Technology to Understand the Structure and Function of Molecular Machines
Investigating chemical crosslinking of protein-RNA complexes by mass spectrometry
Reliable identification of protein-protein interactions by crosslinking mass spectrometry
Modelling protein complexes with crosslinking mass spectrometry and deep learning
An automated proteomic data analysis workflow for mass spectrometry
Computational methods and machine learning for crosslinking mass spectrometry data analysis
Protein - protein interaction studies by chemical cross-linking and mass spectrometry
Mimicked synthetic ribosomal protein complex for benchmarking crosslinking mass spectrometry workflows
Toward Increased Reliability, Transparency, and Accessibility in Cross-linking Mass Spectrometry
Selective cross‐linking of coinciding protein assemblies by in‐gel cross‐linking mass spectrometry
Data analysis strategies for proteome-wide crosslinking mass spectrometry
Data-independent acquisition improves quantitative cross-linking mass spectrometry
Crosslinking and Mass Spectrometry : An Integrated Technology to Understand the Structure and Function of Molecular Machines
Investigating chemical crosslinking of protein-RNA complexes by mass spectrometry
Reliable identification of protein-protein interactions by crosslinking mass spectrometry
Modelling protein complexes with crosslinking mass spectrometry and deep learning
An automated proteomic data analysis workflow for mass spectrometry
Computational methods and machine learning for crosslinking mass spectrometry data analysis
Protein - protein interaction studies by chemical cross-linking and mass spectrometry
Mimicked synthetic ribosomal protein complex for benchmarking crosslinking mass spectrometry workflows