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. 2012 Feb 14;40(9):e70. doi: 10.1093/nar/gks048

Table 3.

Performance analysis for each algorithm using the default settings in histone modification datasets based on unbiased AUCROC statistic

Datasets/Algorithms CCAT ChIPDiff ERANGE FindPeaks FSeq MACS PeakSeq Qeseq QuEST RSEG SICER SISSRS SWEMBL TPIC W-ChiPeaks
MYO.H3k27me3.GM.VDA 0.8232 0.8331 0.5038 0.8427 0.7638 0.6583 0.6500 0.8378 0.5011 0.8591 0.5000 0.5089 0.8124 0.8025 0.5085
MYO.H3k36me3.GM.VDA 0.6223 0.6696 0.5000 0.4610 0.6140 0.6148 0.5483 0.6722 0.5000 0.6217 0.6212 0.5002 0.6037 0.6200 0.5000
MYO.H3k27me3.GM 0.8002 0.7879 0.5003 0.7987 0.7931 0.5980 0.6229 0.7991 0.5000 0.7991 0.5000 0.5010 0.7998 0.7993 0.5046
MYO.H3k27me3.MT 0.7355 0.7340 0.5000 0.7350 0.7128 0.5394 0.5590 0.7319 0.5000 0.7354 0.5000 0.5002 0.7362 0.7355 0.5015
ES.H3K4me3 0.8413 0.8426 0.8088 0.8738 0.9742 0.9630 0.4951 0.9940 0.6697 0.9972 0.9970 0.5000 0.9032 0.9814 0.8373
ES.H3K27me3 0.5027 0.9172 0.5826 1.0000 0.8366 0.6757 0.7294 0.8703 0.5551 0.9454 0.8853 0.5000 0.8747 0.8607 0.7185