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. 2020 Sep 7;9(9):giaa094. doi: 10.1093/gigascience/giaa094

Table 2:

Gap-filling statistics for TGS-GapCloser and other gap-closing tools

Input data Unfilled gaps Misassembly Local misassembly Scaffold NG50 (bp) Scaffold NGA50 (bp) Scaftig NG50 (bp) Scaftig NGA50 (bp) Runtime (min) Peak memory (GB)
Draft assemblies 2,600 176 126 1,561,142 196,307 9,687 9,464
TGS-GapCloser 288 187 324 1,426,438 383,995 194,512 149,166 12 16.37
PBJelly 1,730 664 741 1,240,439 83,803 29,715 19,247 3,137 9.93
FGAP 458 867 684 1,871,611 44,244 127,982 28,615 2,687 35.06
GMcloser 2,600 175 125 1,561,142 195,886 9,570 9,335 17,140 11.39
Cobbler 1,475 230 516 1,522,592 176,960 24,072 18,217 24 9.43
LR_Gapcloser 447 1,064 1,076 1,561,028 27,211 157,181 18,216 74 2.90

All datasets were run with 16 threads on the same computer. Note that QUAST accepts <10 continuous N's in the scaftig.