Saturation Genome Editing: Variant Effect Track

Saturation genome editing tests every possible point mutation across a gene exon in a single pooled experiment, sequencing cell populations before and after selection to score how each variant affects fitness — the same approach Findlay et al. used to functionally classify thousands of BRCA1 variants before they were ever encountered in the clinic. This simulator builds a 60-residue exon with a hidden structured-domain profile, lets you switch between missense, nonsense, and synonymous mutation classes, run stochastic screen replicates at adjustable selection stringency, and watch each residue's variant get colour-coded functional, intermediate, or non-functional from its measured depletion score across a pannable, zoomable linear variant track, a true-criticality reference curve, and a live measured-vs-true fidelity scatter plot.