Dear Dr. Roth,
I tried the PyClone-VI on WGS samples with thousands of variants. It did perform much faster than PyClone (run time reduced from hours to mins).
Is all loci in one cluster going to have the same cellular_prevalence? (in PyClone, each loci have slightly different value)
mutation_id cellular_prevalencecellular_prevalencesample_id cluster_id cellular_prevalence cellular_prevalence_std cluster_assignment_prob
chr11:49372870:T>C A 0 0.6618 0.0113 0.4583
chr11:49372870:T>C B 0 0.7487 0.0109 0.4583
chr12:100447011:C>A A 0 0.6618 0.0113 0.4431
chr12:100447011:C>A B 0 0.7487 0.0109 0.4431
chr12:108000697:A>G A 0 0.6618 0.0113 0.4141
chr12:108000697:A>G B 0 0.7487 0.0109 0.4141