Beta-binomial modeling of CRISPR pooled screen data identifies target genes with greater sensitivity and fewer false negatives

(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 2.
Figure 2.

CB2 detects essential genes missed by other leading methods: the case of RPL5. sgRNA quantification for RPL5 in cell line (A) RT112, (B) UMUC3 using CRISPRn, and (C) RT112 using the CRISPRi library. The top panels show counts per million (CPM) of sgRNAs that target RPL5 for each group (T0 and T1), and the bottom panels indicate the reported the FDR for RPL5 in each screen across all the methods. A horizontal line at FDR = 0.01 is used as a threshold for statistical cutoff. CB2 outperforms all other methods of identifying RPL5 as an essential gene across all benchmark data sets.

This Article

  1. Published in Advance April 23, 2019, doi: 10.1101/gr.245571.118 Genome Res. 29: 999-1008

Preprint Server



Current Issue

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