Cancer neoantigen prioritization through sensitive and reliable proteogenomics analysis

Identifying mutation-derived neoantigens by proteogenomics requires robust strategies for quality control. Here, the authors propose peptide retention time as an evaluation metric for proteogenomics quality control methods, and develop a deep learning algorithm for accurate retention time prediction...

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Detalles Bibliográficos
Autores principales:	Bo Wen, Kai Li, Yun Zhang, Bing Zhang
Formato:	article
Lenguaje:	EN
Publicado:	Nature Portfolio 2020
Materias:	Science Q
Acceso en línea:	https://doaj.org/article/e193f272716f4fd7ac8dbd5e93d0c909
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spelling	oai:doaj.org-article:e193f272716f4fd7ac8dbd5e93d0c9092021-12-02T14:41:04ZCancer neoantigen prioritization through sensitive and reliable proteogenomics analysis10.1038/s41467-020-15456-w2041-1723https://doaj.org/article/e193f272716f4fd7ac8dbd5e93d0c9092020-04-01T00:00:00Zhttps://doi.org/10.1038/s41467-020-15456-whttps://doaj.org/toc/2041-1723Identifying mutation-derived neoantigens by proteogenomics requires robust strategies for quality control. Here, the authors propose peptide retention time as an evaluation metric for proteogenomics quality control methods, and develop a deep learning algorithm for accurate retention time prediction.Bo WenKai LiYun ZhangBing ZhangNature PortfolioarticleScienceQENNature Communications, Vol 11, Iss 1, Pp 1-14 (2020)
institution	DOAJ
collection	DOAJ
language	EN
topic	Science Q
spellingShingle	Science Q Bo Wen Kai Li Yun Zhang Bing Zhang Cancer neoantigen prioritization through sensitive and reliable proteogenomics analysis
description	Identifying mutation-derived neoantigens by proteogenomics requires robust strategies for quality control. Here, the authors propose peptide retention time as an evaluation metric for proteogenomics quality control methods, and develop a deep learning algorithm for accurate retention time prediction.
format	article
author	Bo Wen Kai Li Yun Zhang Bing Zhang
author_facet	Bo Wen Kai Li Yun Zhang Bing Zhang
author_sort	Bo Wen
title	Cancer neoantigen prioritization through sensitive and reliable proteogenomics analysis
title_short	Cancer neoantigen prioritization through sensitive and reliable proteogenomics analysis
title_full	Cancer neoantigen prioritization through sensitive and reliable proteogenomics analysis
title_fullStr	Cancer neoantigen prioritization through sensitive and reliable proteogenomics analysis
title_full_unstemmed	Cancer neoantigen prioritization through sensitive and reliable proteogenomics analysis
title_sort	cancer neoantigen prioritization through sensitive and reliable proteogenomics analysis
publisher	Nature Portfolio
publishDate	2020
url	https://doaj.org/article/e193f272716f4fd7ac8dbd5e93d0c909
work_keys_str_mv	AT bowen cancerneoantigenprioritizationthroughsensitiveandreliableproteogenomicsanalysis AT kaili cancerneoantigenprioritizationthroughsensitiveandreliableproteogenomicsanalysis AT yunzhang cancerneoantigenprioritizationthroughsensitiveandreliableproteogenomicsanalysis AT bingzhang cancerneoantigenprioritizationthroughsensitiveandreliableproteogenomicsanalysis
_version_	1718390086128631808

Cancer neoantigen prioritization through sensitive and reliable proteogenomics analysis

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