Table 3.

Accuracy comparison of EC tools in terms of EC gain, percentage of corrected errors, and number of newly introduced errors per Mbp of read data

	D1	D2	D3	D4	D5	D6	D7	D8
Error correction gain (%)
ACE	96.3	97.9	98.7	96.2	91.1	41.7	-3.3	25.9
BFC	78.7	84.3	80.2	81.4	78.6	52.8	63.3	24.1
Blue	98.5	98.8	98.7	96.7	95.4	51.1	65.2	28.8
Fiona	87.4	94.6	97.5	85.5	91.4	55.0	65.8	29.8
Karect	99.4	99.8	99.7	98.5	98.2	63.1	75.5	34.3
Lighter	85.4	93.8	92.5	80.1	84.6	45.7	50.3	21.7
Musket	91.3	93.6	93.4	88.0	87.1	49.5	59.2	23.5
RACER	92.3	94.4	97.0	88.3	94.0	17.4	32.6	22.3
SGA-EC	55.3	67.2	45.5	53.1	65.2	48.7	60.6	23.0
Trowel	38.4	49.4	38.8	40.5	46.8	13.2	1.1	10.5
Percentage of corrected errors (sensitivity)
ACE	97.7	98.5	99.2	98.0	97.0	61.3	73.8	34.5
BFC	78.8	84.4	80.2	81.4	78.7	54.1	63.8	24.7
Blue	98.7	99.3	99.1	97.0	95.7	59.9	70.6	31.4
Fiona	87.5	94.8	97.7	85.5	91.7	60.6	71.7	31.5
Karect	99.4	99.9	99.7	98.5	98.2	64.4	76.7	35.5
Lighter	85.5	94.0	92.7	80.2	86.3	48.9	59.1	24.3
Musket	91.3	93.6	93.4	88.1	87.3	52.9	65.3	26.4
RACER	92.9	95.8	98.2	89.0	94.8	59.2	68.2	34.0
SGA-EC	55.3	67.2	45.5	53.1	65.3	50.4	61.3	23.2
Trowel	39.0	49.9	43.4	40.9	47.6	23.6	31.2	11.8
Number of errors introduced per Mbp
ACE	44	23	40	151	194	1217	2375	1123
BFC	2	3	7	2	3	83	15	73
Blue	8	20	30	31	10	547	167	341
Fiona	2	7	14	6	9	347	183	218
Karect	0	1	3	1	1	80	36	157
Lighter	2	6	14	8	56	202	273	332
Musket	1	2	5	3	6	214	190	383
RACER	21	62	97	58	27	2603	1097	1524
SGA-EC	1	3	6	2	3	105	22	24
Trowel	21	26	376	41	25	647	930	172