Table 2.

Average execution time for AutoKEGGRec within Matlab 2017b on a Dell Latitude 7490 with an I7-7600U using 2-core-parallelization

Tested strains incl. number of organisms	Mean runtime [s]	Reactions/metabolites	Giant component [#, %]
E. coli K-12, 5 KEGG IDs	2,995±65	1226/1188	1215/99.10%
P. putida, 12 KEGG IDs	3,957±166	1412/1445	1400/99.15%
B. subtilis, 15 KEGG IDs	3,538±216	1108/1134	1103/99.55%
E. coli, 20 KEGG IDs	4,792±289	1342/1302	1331/99.18%
E. coli, 25 KEGG IDs	5,618±322	1351/1312	1340/99.19%
E. coli, 30 KEGG IDs	6,724±130	1354/1316	1343/99.19%
E. coli, 35 KEGG IDs	7,750±208	1358/1319	1347/99.19%
E. coli, 40 KEGG IDs	9,115±198	1359/1321	1348/99.19%
E. coli, 45 KEGG IDs	10,032±651	1359/1321	1348/99.19%
E. coli, 50 KEGG IDs	11,466±1,065	1359/1321	1348/99.19%
E. coli, 55 KEGG IDs	12,687±1,269	1359/1321	1348/99.19%
E. coli, 60 KEGG IDs	13,848±1,658	1359/1321	1348/99.19%
E. coli, 65 KEGG IDs	15,082±1,850	1360/1323	1349/99.19%

The columns are: a specification of the queried organisms, the mean and standard deviation runtime (five separate software executions) per dataset using ConsolidatedRec, SingleRecs, CommunityRec, OrgRxnGen, OmittedData and DisconnectedReactions as optional flags, the number of reactions and metabolites in the consolidated FDR and the number and fraction of reactions in the consolidated network’s giant component