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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...
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| Publicado no: | Nat Commun |
|---|---|
| Main Authors: | , , , , , |
| Formato: | Artigo |
| Idioma: | Inglês |
| Publicado em: |
Nature Publishing Group UK
2020
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| Assuntos: | |
| Acesso em linha: | https://ncbi.nlm.nih.gov/pmc/articles/PMC6952453/ https://ncbi.nlm.nih.gov/pubmed/31919359 https://ncbi.nlm.nih.govhttp://dx.doi.org/10.1038/s41467-019-13866-z |
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