EC: an efficient error correction algorithm for short reads

BMC Bioinformatics

Table 3 Performance evaluation on real sequencing datasets.

Dataset	Method	% Sensitivity	% Specificity	% Accuracy	% Mapped Reads	CPU Time (m)
D1	EC	88.59	99.99	85.78	95.75	5.76
	Racer	96.98	99.99	96.87	95.81	12.58
	Musket	80.99	99.99	80.94	95.82	4.75
	Coral	71.06	99.99	70.64	95.79	40.98
	Reptile	11.77	99.99	11.33	95.81	9.83
D2	EC	94.44	99.94	93.22	80.02	12.10
	Racer	93.92	99.99	93.89	83.94	13.93
	Musket	47.82	99.99	47.79	66.33	38.62
	Coral	33.68	99.99	33.22	65.32	141.64
	Reptile	44.76	99.99	44.73	67.51	34.02
D3	EC	95.68	99.97	94.03	96.79	12.62
	Racer	88.87	99.99	88.75	96.09	13.68
	Musket	69.50	99.99	69.43	94.09	19.00
	Coral	67.53	99.99	67.25	93.78	207.13
	Reptile	-	-	-	-	-
D4	EC	94.89	99.98	93.41	94.79	4.65
	Racer	93.42	99.99	93.30	94.90	6.40
	Musket	74.52	99.99	74.43	93.20	8.23
	Coral	74.40	99.99	74.07	92.54	28.47
	Reptile	-	-	-	-	-
D5	EC	96.41	99.97	95.07	95.76	18.27
	Racer	89.97	99.99	89.77	94.99	14.38
	Musket	63.64	99.93	63.58	91.44	27.22
	Coral	61.56	99.99	61.23	91.08	98.89
	Reptile	-	-	-	-	-
D6	EC	93.04	99.99	86.32	89.51	24.33
	Racer	94.20	99.99	93.81	90.79	12.63
	Musket	84.58	99.99	84.39	89.79	11.32
	Coral	89.34	99.99	83.28	90.14	233.33
	Reptile	-	-	-	-	-

ISSN: 1471-2105