Can CRISPR help build a unified platform for biological discovery?

Dr Kaivalya Shevade from the Laboratory for Genomics Research (UCSF) is developing new CRISPR-based screening methods to map gene networks, understand drug resistance, and track neuronal activity in disease. 

The research team’s innovations, including the CAT-ATAC assay and the Plexus machine learning model, show how combining biology with computation could accelerate the search for new treatments.

Read the original research: doi.org/10.1101/2025.02.11.637716