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Comprehensive generation, visualization, and reporting of quality control metrics for single-cell RNA sequencing data
- Source :
- Nature Communications, Vol 13, Iss 1, Pp 1-9 (2022)
- Publication Year :
- 2022
- Publisher :
- Nature Portfolio, 2022.
-
Abstract
- Quality control (QC) is a crucial step in single-cell RNA-seq data analysis. Here, the authors present the SCTK-QC pipeline which generates and visualizes a comprehensive set of QC metrics to streamline the process of detecting and removing poor quality cells and other artifacts.
- Subjects :
- Science
Subjects
Details
- Language :
- English
- ISSN :
- 20411723
- Volume :
- 13
- Issue :
- 1
- Database :
- Directory of Open Access Journals
- Journal :
- Nature Communications
- Publication Type :
- Academic Journal
- Accession number :
- edsdoj.3b9c0a0a78f74f97957e4f3059d88d39
- Document Type :
- article
- Full Text :
- https://doi.org/10.1038/s41467-022-29212-9