Table 2.

NGA50 of respectively contigs (top) and scaffolds (bottom) assembled by SPAdes before and after error correction

Tools	D1	D2	D3	D4	D5	D6	D7	D8	D9
	Contig NGA50
Uncorrected	10 876	5 451	6 325	50 833	35 924	40 802	80 752	85 003	65 138
ACE	11 375	8 475	3 116	29 126	20 032	34 273	55 391	65 163	62 161
BFC	11 672	9 488	6 307	49 089	27 365	40 910	77 526	78 985	64 709
BLESS2	9 183	7 737	2 969	25 133	17 133	29 968	61 609	60 574	55 639
BrownieCorrector	13 334	11 015	6 328	52 152	38 670	45 400	83 397	88 877	71 788
Karect	12 507	10 103	6 295	54 106	29 286	41 391	85 226	85 881	68 873
Reckoner	9 154	6 440	6 281	41 977	26 296	39 605	58 176	71 724	56 734
	Scaffold NGA50
Uncorrected	11 377	5 668	6 419	60 714	59 591	41 833	96 381	109 785	84 659
ACE	12 135	8 597	3 143	35 425	40 860	39 895	62 981	93 602	83 138
BFC	12 294	9 698	6 392	59 124	54 093	41 818	91 577	110 748	82 101
BLESS2	10 034	7 909	3 012	34 856	36 316	38 431	73 377	86 526	74 447
BrownieCorrector	14 155	11 570	6 420	61 474	65 174	46 678	96 385	118 192	96 916
Karect	13 528	10 298	6 377	63 400	59 526	42 256	101 753	124 215	90 661
Reckoner	9 670	6 509	6 354	47 781	50 834	40 779	67 061	99 419	71 646

The best result for each dataset is shown in bold