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A practical handbook on single-cell RNA sequencing data quality control and downstream analysis.
Kim, Gyeong Dae; Lim, Chaemin; Park, Jihwan.
Afiliación
  • Kim GD; School of Life Sciences, Gwangju Institute of Science and Technology (GIST), Gwangju 61005, Republic of Korea.
  • Lim C; School of Life Sciences, Gwangju Institute of Science and Technology (GIST), Gwangju 61005, Republic of Korea.
  • Park J; School of Life Sciences, Gwangju Institute of Science and Technology (GIST), Gwangju 61005, Republic of Korea. Electronic address: jihwan.park@gist.ac.kr.
Mol Cells ; 47(9): 100103, 2024 Jul 31.
Article en En | MEDLINE | ID: mdl-39094968
ABSTRACT
Advancements in single-cell analysis have facilitated high-resolution observation of the transcriptome in individual cells. However, standards for obtaining high-quality cells and data analysis pipelines remain variable. Here, we provide the groundwork for improving the quality of single-cell analysis by delineating guidelines for selecting high-quality cells and considerations throughout the analysis. This review will streamline researchers' access to single-cell analysis and serve as a valuable guide for analysis.
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Texto completo: 1 Bases de datos: MEDLINE Idioma: En Revista: Mol Cells Asunto de la revista: BIOLOGIA MOLECULAR Año: 2024 Tipo del documento: Article

Texto completo: 1 Bases de datos: MEDLINE Idioma: En Revista: Mol Cells Asunto de la revista: BIOLOGIA MOLECULAR Año: 2024 Tipo del documento: Article