Cargando…

Computational approach to evaluate scRNA-seq data quality and gene body coverage with SkewC

SkewC is a single-cell RNA sequencing (scRNA-seq) data quality evaluation tool. The approach is based on determining gene body coverage, and its skewness, as a quality metric for each individual cell. SkewC distinguishes between two types of single cells: typical cells with prototypical gene body co...

Descripción completa

Detalles Bibliográficos
Autores principales: Abugessaisa, Imad, Hasegawa, Akira, Katayama, Shintaro, Kere, Juha, Kasukawa, Takeya
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Elsevier 2023
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9873502/
https://www.ncbi.nlm.nih.gov/pubmed/36853658
http://dx.doi.org/10.1016/j.xpro.2022.102038
_version_ 1784877610288807936
author Abugessaisa, Imad
Hasegawa, Akira
Katayama, Shintaro
Kere, Juha
Kasukawa, Takeya
author_facet Abugessaisa, Imad
Hasegawa, Akira
Katayama, Shintaro
Kere, Juha
Kasukawa, Takeya
author_sort Abugessaisa, Imad
collection PubMed
description SkewC is a single-cell RNA sequencing (scRNA-seq) data quality evaluation tool. The approach is based on determining gene body coverage, and its skewness, as a quality metric for each individual cell. SkewC distinguishes between two types of single cells: typical cells with prototypical gene body coverage profiles and skewed cells with skewed gene body coverage profiles. SkewC can be used on any scRNA-seq data as it is independent from the underlying technology used to generate the data. For complete details on the use and execution of this protocol, please refer to Abugessaisa et al. (2022).(1)
format Online
Article
Text
id pubmed-9873502
institution National Center for Biotechnology Information
language English
publishDate 2023
publisher Elsevier
record_format MEDLINE/PubMed
spelling pubmed-98735022023-01-26 Computational approach to evaluate scRNA-seq data quality and gene body coverage with SkewC Abugessaisa, Imad Hasegawa, Akira Katayama, Shintaro Kere, Juha Kasukawa, Takeya STAR Protoc Protocol SkewC is a single-cell RNA sequencing (scRNA-seq) data quality evaluation tool. The approach is based on determining gene body coverage, and its skewness, as a quality metric for each individual cell. SkewC distinguishes between two types of single cells: typical cells with prototypical gene body coverage profiles and skewed cells with skewed gene body coverage profiles. SkewC can be used on any scRNA-seq data as it is independent from the underlying technology used to generate the data. For complete details on the use and execution of this protocol, please refer to Abugessaisa et al. (2022).(1) Elsevier 2023-01-18 /pmc/articles/PMC9873502/ /pubmed/36853658 http://dx.doi.org/10.1016/j.xpro.2022.102038 Text en © 2022 The Author(s) https://creativecommons.org/licenses/by/4.0/This is an open access article under the CC BY license (http://creativecommons.org/licenses/by/4.0/).
spellingShingle Protocol
Abugessaisa, Imad
Hasegawa, Akira
Katayama, Shintaro
Kere, Juha
Kasukawa, Takeya
Computational approach to evaluate scRNA-seq data quality and gene body coverage with SkewC
title Computational approach to evaluate scRNA-seq data quality and gene body coverage with SkewC
title_full Computational approach to evaluate scRNA-seq data quality and gene body coverage with SkewC
title_fullStr Computational approach to evaluate scRNA-seq data quality and gene body coverage with SkewC
title_full_unstemmed Computational approach to evaluate scRNA-seq data quality and gene body coverage with SkewC
title_short Computational approach to evaluate scRNA-seq data quality and gene body coverage with SkewC
title_sort computational approach to evaluate scrna-seq data quality and gene body coverage with skewc
topic Protocol
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9873502/
https://www.ncbi.nlm.nih.gov/pubmed/36853658
http://dx.doi.org/10.1016/j.xpro.2022.102038
work_keys_str_mv AT abugessaisaimad computationalapproachtoevaluatescrnaseqdataqualityandgenebodycoveragewithskewc
AT hasegawaakira computationalapproachtoevaluatescrnaseqdataqualityandgenebodycoveragewithskewc
AT katayamashintaro computationalapproachtoevaluatescrnaseqdataqualityandgenebodycoveragewithskewc
AT kerejuha computationalapproachtoevaluatescrnaseqdataqualityandgenebodycoveragewithskewc
AT kasukawatakeya computationalapproachtoevaluatescrnaseqdataqualityandgenebodycoveragewithskewc