From: Prediction of CpG-island function: CpG clustering vs. sliding-window methods
Method | Number of predicted islands | Genome coverage (%) | Promoter overlap (R13) | |
---|---|---|---|---|
 |  |  | Number of islands | % |
TJ | 37,323 | 1.43 | 14,034 | 37.60 |
UCSC | 27,639 | 0.74 | 13,369 | 48.40 |
CpGproD | 76,886 | 2.81 | 14,814 | 19.30 |
CpGcluster: | Â | Â | Â | Â |
   relaxed set* | 198,702 | 1.90 | 30,660 | 15.43 |
   strict set** | 25,454 | 0.65 | 13,349 | 52.40 |