Automated quality control and cell identification of droplet-based single-cell data using dropkick

(Downloading may take up to 30 seconds. If the slide opens in your browser, select File -> Save As to save it.)

Click on image to view larger version.

Figure 1.
Figure 1.

Evaluating data set quality with the dropkick QC module. (A) Profile of total counts (black trace) and genes (green points) detected per ranked barcode in the 4000 pan–T cell data set (10x Genomics). Percentage of mitochondrial (red) and ambient (blue) reads for each barcode included to denote quality along data set profile. (B) Profile of dropout rate per ranked gene. Ambient genes are identified by dropkick and used to calculate ambient percentage in A.

This Article

  1. Published in Advance April 9, 2021, doi: 10.1101/gr.271908.120 Genome Res. 31: 1742-1752

Preprint Server



Current Issue

  1. March 2026, 36 (3)
  1. Current Issue
  1. Alert me to new issues of Genome Research