We developed a data-driven in silico pipeline to design and optimise a minimal genome-wide CRISPR-Cas9 library that reduces the required number of reagents by 42% compared to any currently available genome-wide library.
This library addresses a major bottleneck in applying genome-scale screens to hard to grow models, complex cultures and rich phenotypic endpoint assays (e.g. scRNA-seq, imaging-based assay).