From: Prediction of CpG-island function: CpG clustering vs. sliding-window methods
Genome element | Number of overlapping CpG islets | Number of overlapping CpG islets exclusively predicted by CpG cluster |
---|---|---|
Promoters from RefSeq database | 9,826 (11.15%) | 1,218 (12.40%) |
TSSs from DBTSS database | 1,868 (2.12%) | 398 (21.31%) |
Promoter regions from DBTSS database | 6,510 (7.39%) | 4,869 (74.79%) |
PhastCons | 17,613 (19.98%) | 8,219 (46.66%) |