Benchmarking of analysis strategies for data-independent acquisition proteomics using a large-scale dataset comprising inter-patient heterogeneity

Numerous software tools exist for data-independent acquisition (DIA) analysis of clinical samples, necessitating their comprehensive benchmarking. We present a benchmark dataset comprising real-world inter-patient heterogeneity, which we use for in-depth benchmarking of DIA data analysis workflows f...

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Detalles Bibliográficos
Autores principales: Fröhlich, Klemens, Brombacher, Eva, Fahrner, Matthias, Vogele, Daniel, Kook, Lucas, Pinter, Niko, Bronsert, Peter, Timme-Bronsert, Sylvia, Schmidt, Alexander, Bärenfaller, Katja, Kreutz, Clemens, Schilling, Oliver
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Nature Publishing Group UK 2022
Materias:
Article
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9098472/
https://www.ncbi.nlm.nih.gov/pubmed/35551187
http://dx.doi.org/10.1038/s41467-022-30094-0

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9098472/
https://www.ncbi.nlm.nih.gov/pubmed/35551187
http://dx.doi.org/10.1038/s41467-022-30094-0

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