Using somatic variant richness to mine signals from rare variants in the cancer genome

Sequencing cancer genomes reveals low frequency novel somatic variants without known function. Here, the authors leverage statistical methodology from the fields of computational linguistics and ecology to highlight the potentially important signals harboured by these novel variants that are often d...

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Autores principales:	Saptarshi Chakraborty, Arshi Arora, Colin B. Begg, Ronglai Shen
Formato:	article
Lenguaje:	EN
Publicado:	Nature Portfolio 2019
Materias:	Science Q
Acceso en línea:	https://doaj.org/article/2b7877645b70435c97a71442e14a8db7
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spelling	oai:doaj.org-article:2b7877645b70435c97a71442e14a8db72021-12-02T16:58:28ZUsing somatic variant richness to mine signals from rare variants in the cancer genome10.1038/s41467-019-13402-z2041-1723https://doaj.org/article/2b7877645b70435c97a71442e14a8db72019-12-01T00:00:00Zhttps://doi.org/10.1038/s41467-019-13402-zhttps://doaj.org/toc/2041-1723Sequencing cancer genomes reveals low frequency novel somatic variants without known function. Here, the authors leverage statistical methodology from the fields of computational linguistics and ecology to highlight the potentially important signals harboured by these novel variants that are often dismissed.Saptarshi ChakrabortyArshi AroraColin B. BeggRonglai ShenNature PortfolioarticleScienceQENNature Communications, Vol 10, Iss 1, Pp 1-9 (2019)
institution	DOAJ
collection	DOAJ
language	EN
topic	Science Q
spellingShingle	Science Q Saptarshi Chakraborty Arshi Arora Colin B. Begg Ronglai Shen Using somatic variant richness to mine signals from rare variants in the cancer genome
description	Sequencing cancer genomes reveals low frequency novel somatic variants without known function. Here, the authors leverage statistical methodology from the fields of computational linguistics and ecology to highlight the potentially important signals harboured by these novel variants that are often dismissed.
format	article
author	Saptarshi Chakraborty Arshi Arora Colin B. Begg Ronglai Shen
author_facet	Saptarshi Chakraborty Arshi Arora Colin B. Begg Ronglai Shen
author_sort	Saptarshi Chakraborty
title	Using somatic variant richness to mine signals from rare variants in the cancer genome
title_short	Using somatic variant richness to mine signals from rare variants in the cancer genome
title_full	Using somatic variant richness to mine signals from rare variants in the cancer genome
title_fullStr	Using somatic variant richness to mine signals from rare variants in the cancer genome
title_full_unstemmed	Using somatic variant richness to mine signals from rare variants in the cancer genome
title_sort	using somatic variant richness to mine signals from rare variants in the cancer genome
publisher	Nature Portfolio
publishDate	2019
url	https://doaj.org/article/2b7877645b70435c97a71442e14a8db7
work_keys_str_mv	AT saptarshichakraborty usingsomaticvariantrichnesstominesignalsfromrarevariantsinthecancergenome AT arshiarora usingsomaticvariantrichnesstominesignalsfromrarevariantsinthecancergenome AT colinbbegg usingsomaticvariantrichnesstominesignalsfromrarevariantsinthecancergenome AT ronglaishen usingsomaticvariantrichnesstominesignalsfromrarevariantsinthecancergenome
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Using somatic variant richness to mine signals from rare variants in the cancer genome

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