Fig. 5: UMI-ATAC-seq improves the sensitivity of footprint identification.
From: ATAC-seq with unique molecular identifiers improves quantification and footprinting
a Venn diagram displaying the footprints identified by pyDNase (Wellington Footprint P-value < 10−30) with CD and UD datasets. The common footprints are defined as those overlapped by at least one base. b The relationship of footprint scores calculated based on CD and UD datasets. The footprint scores are calculated as log(−log10(P-value)). The colors of points are the same as the Venn diagram in a. The inset shows the CD-only footprints. c The Tn5 insertion frequencies around some identified footprints in CD (blue), UD (red), or ND (gray) datasets. The genomic coordinates of the shaded areas are shown above each plot. d Schematic diagram illustrating the footprint depth (FPD) calculation. “Avg” represents the average function. e The distribution of the differences in FPD values between CD and UD datasets. Footprints identified in CD datasets were used.
