Seed-effect modeling improves the consistency of genome-wide loss-offunction screens and identifies synthetic lethal vulnerabilities in cancer cells

Genome-wide loss-of-function profiling is widely used for systematic identification of genetic dependencies in cancer cells; however, the poor reproducibility of RNA interference (RNAi) screens has been a major concern due to frequent off-target effects.