Top: guide-group frequency (log scale) · Middle: log2 fold-change trend · Bottom: sequencing read pool
This is the 2D pairing of the CRISPR dropout-screen simulator: the same discrete-generation replicator dynamics that drive the 3D instanced-population view, rendered instead as three synchronized 2D chart panels. A bar chart tracks each of eight guide-RNA groups' frequency in the pool on a log scale; a trend-line panel plots each group's log2 fold-change against passage 0 as the screen runs; and a read-pool scatter panel draws individual sequencing reads as dots, so the sampling bottleneck that library coverage controls is something you can actually see thinning out or filling in, not just a number. Selection stringency sets how costly an essential-gene knockout is per doubling, library coverage sets how many reads buffer each guide through the passage bottleneck (and therefore how much sampling noise creeps into the readout), and clicking any legend row highlights that guide group across all three panels at once.