Parallel Factor Analysis Enables Quantification and Identification of Highly Convolved Data-Independent-Acquired Protein Spectra

High-throughput data-independent acquisition (DIA) is the method of choice for quantitative proteomics, combining the best practices of targeted and shotgun approaches. The resultant DIA spectra are, however, highly convolved and with no direct precursor-fragment correspondence, complicating biologi...

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Detalles Bibliográficos
Autores principales: Buric, Filip, Zrimec, Jan, Zelezniak, Aleksej
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Elsevier 2020
Materias:
Article
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7733873/
https://www.ncbi.nlm.nih.gov/pubmed/33336195
http://dx.doi.org/10.1016/j.patter.2020.100137

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7733873/
https://www.ncbi.nlm.nih.gov/pubmed/33336195
http://dx.doi.org/10.1016/j.patter.2020.100137

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