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

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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Main Authors: Saptarshi Chakraborty, Arshi Arora, Colin B. Begg, Ronglai Shen
Format: Article
Language:English
Published: Nature Publishing Group 2019-12-01
Series:Nature Communications
Online Access:https://doi.org/10.1038/s41467-019-13402-z
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spelling doaj-2b7877645b70435c97a71442e14a8db72021-05-11T12:31:24ZengNature Publishing GroupNature Communications2041-17232019-12-011011910.1038/s41467-019-13402-zUsing somatic variant richness to mine signals from rare variants in the cancer genomeSaptarshi Chakraborty0Arshi Arora1Colin B. Begg2Ronglai Shen3Department of Epidemiology and Biostatistics, Memorial Sloan Kettering Cancer CenterDepartment of Epidemiology and Biostatistics, Memorial Sloan Kettering Cancer CenterDepartment of Epidemiology and Biostatistics, Memorial Sloan Kettering Cancer CenterDepartment of Epidemiology and Biostatistics, Memorial Sloan Kettering Cancer CenterSequencing 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.https://doi.org/10.1038/s41467-019-13402-z
collection DOAJ
language English
format Article
sources DOAJ
author Saptarshi Chakraborty
Arshi Arora
Colin B. Begg
Ronglai Shen
spellingShingle Saptarshi Chakraborty
Arshi Arora
Colin B. Begg
Ronglai Shen
Using somatic variant richness to mine signals from rare variants in the cancer genome
Nature Communications
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 Publishing Group
series Nature Communications
issn 2041-1723
publishDate 2019-12-01
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.
url https://doi.org/10.1038/s41467-019-13402-z
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AT colinbbegg usingsomaticvariantrichnesstominesignalsfromrarevariantsinthecancergenome
AT ronglaishen usingsomaticvariantrichnesstominesignalsfromrarevariantsinthecancergenome
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