MSBooster: improving peptide identification rates using deep learning-based features

Peptide identification in liquid chromatography-tandem mass spectrometry (LC-MS/MS) experiments relies on computational algorithms for matching acquired MS/MS spectra against sequences of candidate peptides using database search tools, such as MSFragger. Here, we present a new tool, MSBooster, for r...

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Detalles Bibliográficos
Autores principales: Yang, Kevin L., Yu, Fengchao, Teo, Guo Ci, Li, Kai, Demichev, Vadim, Ralser, Markus, Nesvizhskii, Alexey I.
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Nature Publishing Group UK 2023
Materias:
Article
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10374903/
https://www.ncbi.nlm.nih.gov/pubmed/37500632
http://dx.doi.org/10.1038/s41467-023-40129-9

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10374903/
https://www.ncbi.nlm.nih.gov/pubmed/37500632
http://dx.doi.org/10.1038/s41467-023-40129-9

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