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

BMC Bioinformatics

Table 6 Assembly quality and parameters for different assemblers

Datasets	Type	Assembler	N50	N90	MAX	#Seq	Parameters
SRR006331	Contig	Velvet	6229	1830	21166	288	k = 23, cov_cutoff = auto
		D-Velvet	7411	1549	17986	282
		ABySS	5644	1505	15951	334	k = 24
		D-ABySS	4789	1216	12090	371
SRR016146	Contig	Velvet	34052	7754	112041	301	k = 31, cov_cutoff = auto
		D-Velvet	34898	7754	134258	292
		ABySS	34124	7758	112038	297	k = 33
		D-ABySS	34889	7916	134314	297
SRR001665	Contig	Velvet	17900	4362	73058	601	k = 29, cov_cutoff = auto
		D-Velvet	18484	4687	73058	586
		ABySS	18161	4364	71243	603	k = 30
		D-ABySS	18161	4604	73060	595
	Scaffold	Velvet	95486	26570	268283	179	k = 31,exp_cov = auto, cov_cutoff = auto
		D-Velvet	95429	26570	268084	175
		ABySS	96308	25780	268372	124	k = 33, n = 10
		D-ABySS	96904	27002	210775	122

ISSN: 1471-2105