Democratizing data-independent acquisition proteomics analysis on public cloud infrastructures via the Galaxy framework

BACKGROUND: Data-independent acquisition (DIA) has become an important approach in global, mass spectrometric proteomic studies because it provides in-depth insights into the molecular variety of biological systems. However, DIA data analysis remains challenging owing to the high complexity and larg...

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Detalles Bibliográficos
Autores principales: Fahrner, Matthias, Föll, Melanie Christine, Grüning, Björn Andreas, Bernt, Matthias, Röst, Hannes, Schilling, Oliver
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Oxford University Press 2022
Materias:
Technical Note
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8848309/
https://www.ncbi.nlm.nih.gov/pubmed/35166338
http://dx.doi.org/10.1093/gigascience/giac005

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8848309/
https://www.ncbi.nlm.nih.gov/pubmed/35166338
http://dx.doi.org/10.1093/gigascience/giac005

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