A practical handbook on single-cell RNA sequencing data quality control and downstream analysis
- 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. (c) 2024 The Author(s). Published by Elsevier Inc. on behalf of Korean Society for Molecular and Cellular Biology. This is an open access article under the CC BY-NC-ND license (http://creativecommons.org/licenses/by-nc-nd/4.0/).
- Author(s)
- Kim, Gyeong Dae; Lim, Chaemin; Park, Jihwan
- Issued Date
- 2024-09
- Type
- Article
- DOI
- 10.1016/j.mocell.2024.100103
- URI
- https://scholar.gist.ac.kr/handle/local/9342
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