RUBIC identifies driver genes by detecting recurrent DNA copy number breaks

Analysis of cancer genome sequencing data has been used to predict genes associated with the pathogenesis of cancer. Here, the authors propose a new algorithm entitled RUBIC that predicts breaks in DNA as opposed to previously published methods that predict amplifications and deletions of DNA.

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Autores principales:	Ewald van Dyk, Marlous Hoogstraat, Jelle ten Hoeve, Marcel J. T. Reinders, Lodewyk F. A. Wessels
Formato:	article
Lenguaje:	EN
Publicado:	Nature Portfolio 2016
Materias:	Science Q
Acceso en línea:	https://doaj.org/article/23bfe5c1359c422db01ba4741610b336
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spelling	oai:doaj.org-article:23bfe5c1359c422db01ba4741610b3362021-12-02T15:35:41ZRUBIC identifies driver genes by detecting recurrent DNA copy number breaks10.1038/ncomms121592041-1723https://doaj.org/article/23bfe5c1359c422db01ba4741610b3362016-07-01T00:00:00Zhttps://doi.org/10.1038/ncomms12159https://doaj.org/toc/2041-1723Analysis of cancer genome sequencing data has been used to predict genes associated with the pathogenesis of cancer. Here, the authors propose a new algorithm entitled RUBIC that predicts breaks in DNA as opposed to previously published methods that predict amplifications and deletions of DNA.Ewald van DykMarlous HoogstraatJelle ten HoeveMarcel J. T. ReindersLodewyk F. A. WesselsNature PortfolioarticleScienceQENNature Communications, Vol 7, Iss 1, Pp 1-10 (2016)
institution	DOAJ
collection	DOAJ
language	EN
topic	Science Q
spellingShingle	Science Q Ewald van Dyk Marlous Hoogstraat Jelle ten Hoeve Marcel J. T. Reinders Lodewyk F. A. Wessels RUBIC identifies driver genes by detecting recurrent DNA copy number breaks
description	Analysis of cancer genome sequencing data has been used to predict genes associated with the pathogenesis of cancer. Here, the authors propose a new algorithm entitled RUBIC that predicts breaks in DNA as opposed to previously published methods that predict amplifications and deletions of DNA.
format	article
author	Ewald van Dyk Marlous Hoogstraat Jelle ten Hoeve Marcel J. T. Reinders Lodewyk F. A. Wessels
author_facet	Ewald van Dyk Marlous Hoogstraat Jelle ten Hoeve Marcel J. T. Reinders Lodewyk F. A. Wessels
author_sort	Ewald van Dyk
title	RUBIC identifies driver genes by detecting recurrent DNA copy number breaks
title_short	RUBIC identifies driver genes by detecting recurrent DNA copy number breaks
title_full	RUBIC identifies driver genes by detecting recurrent DNA copy number breaks
title_fullStr	RUBIC identifies driver genes by detecting recurrent DNA copy number breaks
title_full_unstemmed	RUBIC identifies driver genes by detecting recurrent DNA copy number breaks
title_sort	rubic identifies driver genes by detecting recurrent dna copy number breaks
publisher	Nature Portfolio
publishDate	2016
url	https://doaj.org/article/23bfe5c1359c422db01ba4741610b336
work_keys_str_mv	AT ewaldvandyk rubicidentifiesdrivergenesbydetectingrecurrentdnacopynumberbreaks AT marloushoogstraat rubicidentifiesdrivergenesbydetectingrecurrentdnacopynumberbreaks AT jelletenhoeve rubicidentifiesdrivergenesbydetectingrecurrentdnacopynumberbreaks AT marceljtreinders rubicidentifiesdrivergenesbydetectingrecurrentdnacopynumberbreaks AT lodewykfawessels rubicidentifiesdrivergenesbydetectingrecurrentdnacopynumberbreaks
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RUBIC identifies driver genes by detecting recurrent DNA copy number breaks

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