Uncovering transcriptional dark matter via gene annotation independent single-cell RNA sequencing analysis

Conventional single-cell RNA sequencing analysis rely on genome annotations that may be incomplete or inaccurate especially for understudied organisms. Here the authors present a bioinformatic tool that leverages single-cell data to uncover biologically relevant transcripts beyond the best available...

Descripción completa

Guardado en:

Detalles Bibliográficos
Autores principales:	Michael F. Z. Wang, Madhav Mantri, Shao-Pei Chou, Gaetano J. Scuderi, David W. McKellar, Jonathan T. Butcher, Charles G. Danko, Iwijn De Vlaminck
Formato:	article
Lenguaje:	EN
Publicado:	Nature Portfolio 2021
Materias:	Science Q
Acceso en línea:	https://doaj.org/article/61a7bc13e77e42f98fc57182ea58774c
Etiquetas:	Agregar Etiqueta Sin Etiquetas, Sea el primero en etiquetar este registro!

id	oai:doaj.org-article:61a7bc13e77e42f98fc57182ea58774c
record_format	dspace
spelling	oai:doaj.org-article:61a7bc13e77e42f98fc57182ea58774c2021-12-02T15:51:01ZUncovering transcriptional dark matter via gene annotation independent single-cell RNA sequencing analysis10.1038/s41467-021-22496-32041-1723https://doaj.org/article/61a7bc13e77e42f98fc57182ea58774c2021-04-01T00:00:00Zhttps://doi.org/10.1038/s41467-021-22496-3https://doaj.org/toc/2041-1723Conventional single-cell RNA sequencing analysis rely on genome annotations that may be incomplete or inaccurate especially for understudied organisms. Here the authors present a bioinformatic tool that leverages single-cell data to uncover biologically relevant transcripts beyond the best available genome annotation.Michael F. Z. WangMadhav MantriShao-Pei ChouGaetano J. ScuderiDavid W. McKellarJonathan T. ButcherCharles G. DankoIwijn De VlaminckNature PortfolioarticleScienceQENNature Communications, Vol 12, Iss 1, Pp 1-10 (2021)
institution	DOAJ
collection	DOAJ
language	EN
topic	Science Q
spellingShingle	Science Q Michael F. Z. Wang Madhav Mantri Shao-Pei Chou Gaetano J. Scuderi David W. McKellar Jonathan T. Butcher Charles G. Danko Iwijn De Vlaminck Uncovering transcriptional dark matter via gene annotation independent single-cell RNA sequencing analysis
description	Conventional single-cell RNA sequencing analysis rely on genome annotations that may be incomplete or inaccurate especially for understudied organisms. Here the authors present a bioinformatic tool that leverages single-cell data to uncover biologically relevant transcripts beyond the best available genome annotation.
format	article
author	Michael F. Z. Wang Madhav Mantri Shao-Pei Chou Gaetano J. Scuderi David W. McKellar Jonathan T. Butcher Charles G. Danko Iwijn De Vlaminck
author_facet	Michael F. Z. Wang Madhav Mantri Shao-Pei Chou Gaetano J. Scuderi David W. McKellar Jonathan T. Butcher Charles G. Danko Iwijn De Vlaminck
author_sort	Michael F. Z. Wang
title	Uncovering transcriptional dark matter via gene annotation independent single-cell RNA sequencing analysis
title_short	Uncovering transcriptional dark matter via gene annotation independent single-cell RNA sequencing analysis
title_full	Uncovering transcriptional dark matter via gene annotation independent single-cell RNA sequencing analysis
title_fullStr	Uncovering transcriptional dark matter via gene annotation independent single-cell RNA sequencing analysis
title_full_unstemmed	Uncovering transcriptional dark matter via gene annotation independent single-cell RNA sequencing analysis
title_sort	uncovering transcriptional dark matter via gene annotation independent single-cell rna sequencing analysis
publisher	Nature Portfolio
publishDate	2021
url	https://doaj.org/article/61a7bc13e77e42f98fc57182ea58774c
work_keys_str_mv	AT michaelfzwang uncoveringtranscriptionaldarkmatterviageneannotationindependentsinglecellrnasequencinganalysis AT madhavmantri uncoveringtranscriptionaldarkmatterviageneannotationindependentsinglecellrnasequencinganalysis AT shaopeichou uncoveringtranscriptionaldarkmatterviageneannotationindependentsinglecellrnasequencinganalysis AT gaetanojscuderi uncoveringtranscriptionaldarkmatterviageneannotationindependentsinglecellrnasequencinganalysis AT davidwmckellar uncoveringtranscriptionaldarkmatterviageneannotationindependentsinglecellrnasequencinganalysis AT jonathantbutcher uncoveringtranscriptionaldarkmatterviageneannotationindependentsinglecellrnasequencinganalysis AT charlesgdanko uncoveringtranscriptionaldarkmatterviageneannotationindependentsinglecellrnasequencinganalysis AT iwijndevlaminck uncoveringtranscriptionaldarkmatterviageneannotationindependentsinglecellrnasequencinganalysis
_version_	1718385634839625728

Uncovering transcriptional dark matter via gene annotation independent single-cell RNA sequencing analysis

Ejemplares similares