Automating data analysis for hydrogen/deuterium exchange mass spectrometry using data-independent acquisition methodology
- Location
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Deutsche Nationalbibliothek Frankfurt am Main
- Extent
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1 Online-Ressource.
- Language
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Englisch
- Bibliographic citation
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Automating data analysis for hydrogen/deuterium exchange mass spectrometry using data-independent acquisition methodology ; volume:15 ; number:1 ; day:11 ; month:3 ; year:2024 ; pages:1-12 ; date:12.2024
Nature Communications ; 15, Heft 1 (11.3.2024), 1-12, 12.2024
- Creator
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Filandr, Frantisek
Sarpe, Vladimir
Raval, Shaunak
Crowder, D. Alex
Khan, Morgan F.
Douglas, Pauline
Coales, Stephen
Viner, Rosa
Syed, Aleem
Tainer, John A.
Lees-Miller, Susan P.
Schriemer, David C.
- Contributor
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SpringerLink (Online service)
- DOI
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10.1038/s41467-024-46610-3
- URN
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urn:nbn:de:101:1-2406190924571.742633941945
- Rights
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Open Access; Der Zugriff auf das Objekt ist unbeschränkt möglich.
- Last update
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14.08.2025, 10:52 AM CEST
Data provider
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Associated
- Filandr, Frantisek
- Sarpe, Vladimir
- Raval, Shaunak
- Crowder, D. Alex
- Khan, Morgan F.
- Douglas, Pauline
- Coales, Stephen
- Viner, Rosa
- Syed, Aleem
- Tainer, John A.
- Lees-Miller, Susan P.
- Schriemer, David C.
- SpringerLink (Online service)
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Operationalizing and automating Data Governance
Data-independent acquisition improves quantitative cross-linking mass spectrometry
Data acquisition methods for next-generation mass spectrometry-based proteomics
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Author Correction: Automating data analysis for hydrogen/deuterium exchange mass spectrometry using data-independent acquisition methodology
Operationalizing and automating Data Governance
Data-independent acquisition improves quantitative cross-linking mass spectrometry
Data acquisition methods for next-generation mass spectrometry-based proteomics
Automating Electronic Health Record Data Quality Assessment
Self-adaptive data quality : automating duplicate detection
AUTOMATING LOD - Transformations for aggregating Linked Open Data
Experiences with workflows for automating data-intensive bioinformatics
Automating User-Centered Design of Data-Intensive Processes
Automating Big Data Benchmarking for Different Architectures with ALOJA
Towards automating microservices orchestration through data-driven evolutionary architectures