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. 2019 May 9;35(22):4632–4639. doi: 10.1093/bioinformatics/btz290

Table 2.

Comparison of performance of seven programs on all 105 MNChIP-seq datasets without running time limit

Programs G1 (200 bp)
G2 (500 bp)
G3 (1000 bp)
No. of datasets with the PM found Ave. no. of motifs found Ave. no. of known motifsb Ave. no. of cooperative motifsc No. of datasets with the PM found Ave. no. of motifs found Ave. no. of known motifs Ave. no. of cooperative motifs No. of datasets with the PM found Ave. no. of motifs found Ave. no. of known motifs Ave. no. of cooperative motifs
ProSampler 90 (85.7%) a 49.6 12.9 2.7 93 (88.6%) 93.8 17.9 3.4 88 (83.8%) 119.0 17.5 3.7
BioProspector 77 (73.3%) 150.0 8.7 0.9 75 (71.4%) 150.0 7.9 1.1 60 (57.1%) 150.0 5.9 0.8
DREME 88 (83.8%) 22.7 8.0 2.5 90 (85.7%) 42.1 9.0 2.4 81 (77.1%) 48.0 6.6 1.6
XXmotif 86 (81.9%) 49.4 12.4 2.7 68 (64.8%) 50.5 10.3 2.4 42 (40.0%) 54.3 6.4 1.5
Homer 77 (73.3%) 121.2 20.6 3.5 85 (81.0%) 136.9 18.9 3.2 89 (84.8%) 147.1 17.0 2.8
motifRG 43 (41.0%) 126.8 9.4 1.8 46 (43.8%) 134.6 11.5 2.0 49 (46.7%) 132.5 13.1 2.2
Dimont 68 (64.8%) 4.3 1.6 0.6 77 (73.3%) 2.8 1.4 0.6 77 (73.3%) 2.0 1.3 0.5
a

Numbers in bold type represent the best performance in the column.

b

Average number of predicted motifs matched to those in JASPAR in each dataset.

c

Average number of predicted motifs matched to those in TCoF-DB for the target TF in each dataset.