DecGPU: distributed error correction on massively parallel graphics processing units using CUDA and MPI

BMC Bioinformatics

Table 3 Summary of the classification test for simulated datasets

Datasets	Algorithm	TP	FP	FN	TN	Sensitivity	Specificity
D30X1.5	DecGPU	1620660	349908	253	1895179	99.98	84.41
	hSHREC	1617685	13998	3228	2231089	99.80	99.38
D30X3.0	DecGPU	2575411	660533	306	629750	99.99	48.81
	hSHREC	2571520	31367	4197	1258916	99.84	97.57
D75X1.5	DecGPU	4053688	23	1024	5611265	99.97	100.00
	hSHREC	4053827	4990124	885	621164	99.98	11.07
D75X3.0	DecGPU	6435328	3481	1621	3225570	99.97	99.89
	hSHREC	6436305	3129803	644	99248	99.99	3.07
D150X1.5	DecGPU	6406078	2	5395	3254525	99.92	100.00
	hSHREC	6411346	3185858	127	68669	100.00	2.11
D150X3.0	DecGPU	8578176	1	8651	1079172	99.90	100.00
	hSHREC	8586743	1056392	84	22781	100.00	2.11

ISSN: 1471-2105