In silico spectral libraries by deep learning facilitate data-independent acquisition proteomics

Data-independent acquisition (DIA) is an emerging technology for quantitative proteomic analysis of large cohorts of samples. However, sample-specific spectral libraries built by data-dependent acquisition (DDA) experiments are required prior to DIA analysis, which is time-consuming and limits the i...

Descripción completa

Detalles Bibliográficos
Autores principales: Yang, Yi, Liu, Xiaohui, Shen, Chengpin, Lin, Yu, Yang, Pengyuan, Qiao, Liang
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Nature Publishing Group UK 2020
Materias:
Article
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6952453/
https://www.ncbi.nlm.nih.gov/pubmed/31919359
http://dx.doi.org/10.1038/s41467-019-13866-z

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6952453/
https://www.ncbi.nlm.nih.gov/pubmed/31919359
http://dx.doi.org/10.1038/s41467-019-13866-z

Ejemplares similares