Nature Communications (Mar 2022)

Comprehensive generation, visualization, and reporting of quality control metrics for single-cell RNA sequencing data

  • 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

DOI
https://doi.org/10.1038/s41467-022-29212-9
Journal volume & issue
Vol. 13, no. 1
pp. 1 – 9

Abstract

Read online

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.