Determining sequencing depth in a single-cell RNA-seq experiment
For single-cell RNA-seq experiments the sequencing budget is limited, and how it should be optimally allocated to maximize information is not clear. Here the authors develop a mathematical framework to show that, for estimating many gene properties, the optimal allocation is to sequence at the depth...
Guardado en:
Autores principales: | , , |
---|---|
Formato: | article |
Lenguaje: | EN |
Publicado: |
Nature Portfolio
2020
|
Materias: | |
Acceso en línea: | https://doaj.org/article/eb7cd4d5fdbd475eadea665c0731525d |
Etiquetas: |
Agregar Etiqueta
Sin Etiquetas, Sea el primero en etiquetar este registro!
|
id |
oai:doaj.org-article:eb7cd4d5fdbd475eadea665c0731525d |
---|---|
record_format |
dspace |
spelling |
oai:doaj.org-article:eb7cd4d5fdbd475eadea665c0731525d2021-12-02T14:41:03ZDetermining sequencing depth in a single-cell RNA-seq experiment10.1038/s41467-020-14482-y2041-1723https://doaj.org/article/eb7cd4d5fdbd475eadea665c0731525d2020-02-01T00:00:00Zhttps://doi.org/10.1038/s41467-020-14482-yhttps://doaj.org/toc/2041-1723For single-cell RNA-seq experiments the sequencing budget is limited, and how it should be optimally allocated to maximize information is not clear. Here the authors develop a mathematical framework to show that, for estimating many gene properties, the optimal allocation is to sequence at the depth of one read per cell per gene.Martin Jinye ZhangVasilis NtranosDavid TseNature PortfolioarticleScienceQENNature Communications, Vol 11, Iss 1, Pp 1-11 (2020) |
institution |
DOAJ |
collection |
DOAJ |
language |
EN |
topic |
Science Q |
spellingShingle |
Science Q Martin Jinye Zhang Vasilis Ntranos David Tse Determining sequencing depth in a single-cell RNA-seq experiment |
description |
For single-cell RNA-seq experiments the sequencing budget is limited, and how it should be optimally allocated to maximize information is not clear. Here the authors develop a mathematical framework to show that, for estimating many gene properties, the optimal allocation is to sequence at the depth of one read per cell per gene. |
format |
article |
author |
Martin Jinye Zhang Vasilis Ntranos David Tse |
author_facet |
Martin Jinye Zhang Vasilis Ntranos David Tse |
author_sort |
Martin Jinye Zhang |
title |
Determining sequencing depth in a single-cell RNA-seq experiment |
title_short |
Determining sequencing depth in a single-cell RNA-seq experiment |
title_full |
Determining sequencing depth in a single-cell RNA-seq experiment |
title_fullStr |
Determining sequencing depth in a single-cell RNA-seq experiment |
title_full_unstemmed |
Determining sequencing depth in a single-cell RNA-seq experiment |
title_sort |
determining sequencing depth in a single-cell rna-seq experiment |
publisher |
Nature Portfolio |
publishDate |
2020 |
url |
https://doaj.org/article/eb7cd4d5fdbd475eadea665c0731525d |
work_keys_str_mv |
AT martinjinyezhang determiningsequencingdepthinasinglecellrnaseqexperiment AT vasilisntranos determiningsequencingdepthinasinglecellrnaseqexperiment AT davidtse determiningsequencingdepthinasinglecellrnaseqexperiment |
_version_ |
1718390088243609600 |