Using single nucleotide variations in single-cell RNA-seq to identify subpopulations and genotype-phenotype linkage

Identification of cell subpopulations using transcript abundance is noisy. Here, the authors developed a linear modeling framework, SSrGE, which utilizes effective and expressed nucleotide variations from single-cell RNA-seq to identify tumor subpopulations.

Guardado en:

Detalles Bibliográficos
Autores principales:	Olivier Poirion, Xun Zhu, Travers Ching, Lana X. Garmire
Formato:	article
Lenguaje:	EN
Publicado:	Nature Portfolio 2018
Materias:	Science Q
Acceso en línea:	https://doaj.org/article/030c4e53dc1f4d4e929628607a36e0d0
Etiquetas:	Agregar Etiqueta Sin Etiquetas, Sea el primero en etiquetar este registro!

id	oai:doaj.org-article:030c4e53dc1f4d4e929628607a36e0d0
record_format	dspace
spelling	oai:doaj.org-article:030c4e53dc1f4d4e929628607a36e0d02021-12-02T17:31:30ZUsing single nucleotide variations in single-cell RNA-seq to identify subpopulations and genotype-phenotype linkage10.1038/s41467-018-07170-52041-1723https://doaj.org/article/030c4e53dc1f4d4e929628607a36e0d02018-11-01T00:00:00Zhttps://doi.org/10.1038/s41467-018-07170-5https://doaj.org/toc/2041-1723Identification of cell subpopulations using transcript abundance is noisy. Here, the authors developed a linear modeling framework, SSrGE, which utilizes effective and expressed nucleotide variations from single-cell RNA-seq to identify tumor subpopulations.Olivier PoirionXun ZhuTravers ChingLana X. GarmireNature PortfolioarticleScienceQENNature Communications, Vol 9, Iss 1, Pp 1-13 (2018)
institution	DOAJ
collection	DOAJ
language	EN
topic	Science Q
spellingShingle	Science Q Olivier Poirion Xun Zhu Travers Ching Lana X. Garmire Using single nucleotide variations in single-cell RNA-seq to identify subpopulations and genotype-phenotype linkage
description	Identification of cell subpopulations using transcript abundance is noisy. Here, the authors developed a linear modeling framework, SSrGE, which utilizes effective and expressed nucleotide variations from single-cell RNA-seq to identify tumor subpopulations.
format	article
author	Olivier Poirion Xun Zhu Travers Ching Lana X. Garmire
author_facet	Olivier Poirion Xun Zhu Travers Ching Lana X. Garmire
author_sort	Olivier Poirion
title	Using single nucleotide variations in single-cell RNA-seq to identify subpopulations and genotype-phenotype linkage
title_short	Using single nucleotide variations in single-cell RNA-seq to identify subpopulations and genotype-phenotype linkage
title_full	Using single nucleotide variations in single-cell RNA-seq to identify subpopulations and genotype-phenotype linkage
title_fullStr	Using single nucleotide variations in single-cell RNA-seq to identify subpopulations and genotype-phenotype linkage
title_full_unstemmed	Using single nucleotide variations in single-cell RNA-seq to identify subpopulations and genotype-phenotype linkage
title_sort	using single nucleotide variations in single-cell rna-seq to identify subpopulations and genotype-phenotype linkage
publisher	Nature Portfolio
publishDate	2018
url	https://doaj.org/article/030c4e53dc1f4d4e929628607a36e0d0
work_keys_str_mv	AT olivierpoirion usingsinglenucleotidevariationsinsinglecellrnaseqtoidentifysubpopulationsandgenotypephenotypelinkage AT xunzhu usingsinglenucleotidevariationsinsinglecellrnaseqtoidentifysubpopulationsandgenotypephenotypelinkage AT traversching usingsinglenucleotidevariationsinsinglecellrnaseqtoidentifysubpopulationsandgenotypephenotypelinkage AT lanaxgarmire usingsinglenucleotidevariationsinsinglecellrnaseqtoidentifysubpopulationsandgenotypephenotypelinkage
_version_	1718380593617567744

Using single nucleotide variations in single-cell RNA-seq to identify subpopulations and genotype-phenotype linkage

Ejemplares similares