Table 5.

Assessment of running times for all tools. Resource consumptions for LazyB are shown for the complete assembly process comprising (1) ABySS unitig assembly; (2) Mapping of unitigs to long reads and (3) running LazyB itself, denoted by A+m+ LazyB, and the the last step only, denoted by LazyB

$\times$	Tool	Time	RAM (MB)
Yeast
	ABySS unitig	00:00:11:03	2283
	ABySS full	00:00:20:01	2283
$\sim 5\times$	Mapping	00:00:00:05	540
	LazyB	00:00:00:30	136
	A+m+ LazyB	00:00:11:38	2283
	Canu	00:10:23:55	2617
	Wtdbg2	00:00:13:08	698
	HASLR	00:00:06:44	4922
	DBG2OL	00:00:31:46	1141
	Wengan	00:00:06:45	4400
	A+Wengan	00:00:26:46	4400
$\sim 11\times$	Mapping	00:00:00:15	1544
	LazyB	00:00:01:46	362
	A+m+ LazyB	00:00:13:04	2283
	Canu	00:13:44:16	6779
	Wtdbg2	00:00:29:28	1142
	HASLR	00:00:08:09	4922
	DBG2OL	00:00:51:13	1264
	Wengan	00:00:14:29	4421
	A+Wengan	00:00:34:30	4421
Fruit fly
	ABySS untig	00:02:32:39	25344
	ABySS full	00:04:56:03	25346
$\sim 5\times$	Mapping	00:00:02:43	6433
	LazyB	00:00:08:33	613
	A+m+ LazyB	00:02:43:55	25344
	Canu	02:13:51:39	7531
	Wtdbg2	00:01:37:41	3395
	HASLR	00:01:30:33	5531
	DBG2OL	00:07:58:22	6151
	Wengan	00:01:41:26	5394
	A+Wengan	00:06:10:29	25346
$\sim 10\times$	Mapping	00:00:06:11	9491
	LazyB	00:00:11:57	2241
	A+m+ LazyB	00:02:50:47	25344
	Canu	07:04:08:28	7541
	Wtdbg2	00:04:02:43	5024
	HASLR	00:01:43:21	5553
	DBG2OL	02:07:32:01	17171
	Wengan	00:02:28:51	5323
	A+Wengan	00:07:24:54	25346

Step (1) is often not needed as short-read assemblies are available for many organisms

Similarly, Wengan requires a full ABySS assembly as a its basis. Resources are only compared for yeast and fruit fly, because Canu cannot be run for human in acceptable time and resource-constraints on our equipment. As all tools except LazyB and DBG2OL are parallelized, running times are given as the sum of time spent by all CPUs. Therefore, computational effort is measured rather than wallclock time. ABySS greatly dominates the LazyB pipeline and to a lesser degree also Wengan. Nevertheless, LazyB is faster by a factor of $>60$ compared to Canu, $\approx 3$ compared to DBG2OL, and $\approx 2.5$ to Wengan