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Computational approach to evaluate scRNA-seq data quality and gene body coverage with SkewC.
Abugessaisa, Imad; Hasegawa, Akira; Katayama, Shintaro; Kere, Juha; Kasukawa, Takeya.
Afiliación
  • Abugessaisa I; Laboratory for Large-Scale Biomedical Data Technology, RIKEN Center for Integrative Medical Sciences, 1-7-22 Suehiro-cho, Tsurumi-ku, Yokohama City, Kanagawa 230-0045, Japan.
  • Hasegawa A; Laboratory for Large-Scale Biomedical Data Technology, RIKEN Center for Integrative Medical Sciences, 1-7-22 Suehiro-cho, Tsurumi-ku, Yokohama City, Kanagawa 230-0045, Japan.
  • Katayama S; Folkhälsan Research Center, Topeliuksenkatu 20, 00250 Helsinki, Finland; Department of Biosciences and Nutrition, Karolinska Institutet, 141 83 Huddinge, Sweden; Stem Cells and Metabolism Research Program, University of Helsinki, P.O. Box 4 (Yliopistonkatu 3), Helsinki, Finland.
  • Kere J; Folkhälsan Research Center, Topeliuksenkatu 20, 00250 Helsinki, Finland; Department of Biosciences and Nutrition, Karolinska Institutet, 141 83 Huddinge, Sweden; Stem Cells and Metabolism Research Program, University of Helsinki, P.O. Box 4 (Yliopistonkatu 3), Helsinki, Finland. Electronic address:
  • Kasukawa T; Laboratory for Large-Scale Biomedical Data Technology, RIKEN Center for Integrative Medical Sciences, 1-7-22 Suehiro-cho, Tsurumi-ku, Yokohama City, Kanagawa 230-0045, Japan; Institute for Protein Research, Osaka University, Suita, Osaka 565-0871, Japan. Electronic address: takeya.kasukawa@riken.jp.
STAR Protoc ; 4(1): 102038, 2023 03 17.
Article en En | MEDLINE | ID: mdl-36853658
ABSTRACT
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.
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Texto completo: 1 Colección: 01-internacional Base de datos: MEDLINE Asunto principal: Perfilación de la Expresión Génica / Exactitud de los Datos Idioma: En Revista: STAR Protoc Año: 2023 Tipo del documento: Article País de afiliación: Japón

Texto completo: 1 Colección: 01-internacional Base de datos: MEDLINE Asunto principal: Perfilación de la Expresión Génica / Exactitud de los Datos Idioma: En Revista: STAR Protoc Año: 2023 Tipo del documento: Article País de afiliación: Japón