Comprehensive generation, visualization, and reporting of quality control metrics for single-cell RNA sequencing data
oleh: Rui Hong, Yusuke Koga, Shruthi Bandyadka, Anastasia Leshchyk, Yichen Wang, Vidya Akavoor, Xinyun Cao, Irzam Sarfraz, Zhe Wang, Salam Alabdullatif, Frederick Jansen, Masanao Yajima, W. Evan Johnson, Joshua D. Campbell
| Format: | Article |
|---|---|
| Diterbitkan: | Nature Portfolio 2022-03-01 |
Deskripsi
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.