Genome engineering enables the manipulation of complex genomes down to the nucleotide level. CRISPR is a powerful genome editing tool used in biomedical research for generating custom-edited cell and pre-clinical animal models. Targeted deep sequencing enables the detection and quantification of on-target editing events in pools of cells or clonal populations. However, the large amounts of data generated by targeted deep sequencing can be difficult to interpret and quickly analyze.

In this webinar, Shondra Pruett-Miller presents a novel Python-based computer program called CRIS.py that allows the easy analysis of multiple types of editing events. She will show examples of how rapid deep sequence analysis has guided experimental design, leading to high-efficiency genome editing in a broad range of applications. Additionally, her team has developed a new sequencing-based assay for rapidly validating hits from pooled KO CRISPR screens.