CINner was used in our new work to examine the selective consequences of aneuploidy drivers and enablers.

Our simulation software for chromosomal instability, CINner (available as an R package), was utilized in a new work in collaboration with Dr. Teresa Davoli’s Lab (NYU). This work introduced COATS (Copy-number-dependent Oncogenes And Tumor Suppressors), a novel computational approach to detect pan-cancer and cancer-specific copy-number-dependent oncogenes and tumor suppressor genes associated with aneuploidy. Using CINner, we showed that aneuploidy drivers tend to occur earlier than aneuploidy enablers, illustrating how CINner can be used to examine the evolution of chromosomal instability.