ScreenBEAM

ScreenBEAM is a novel meta-analysis algorithm designed for functional genomics (FG) screens, which uses Bayesian hierarchical modeling to address the challenges of off-target effects, variable reagent potency, and experimental noise in high-throughput FG screens. It is particularly useful when combining multiple sh/sgRNAs targeting the same gene in the library. The algorithm is aimed at improving the accuracy and robustness of FG screens, and it provides a useful tool for analyzing the results of large-scale gene knockdown experiments.