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

  • Imad Abugessaisa
  • , Akira Hasegawa
  • , Shintaro Katayama
  • , Juha Kere
  • , Takeya Kasukawa

Forskningsoutput: TidskriftsbidragArtikelVetenskapligPeer review

Sammanfattning

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 qual-ity 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
Originalspråkengelska
TidskriftSTAR protocols
Volym4
Nummer1
Antal sidor15
ISSN2666-1667
DOI
StatusPublicerad - 1 juli 2023
MoE-publikationstypA1 Tidskriftsartikel-refererad

Vetenskapsgrenar

  • 3111 Biomedicinska vetenskaper

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