MotifMap: integrative genome-wide maps of regulatory motif sites for model species

BMC Bioinformatics

Table 4 Performance of the mouse MotifMap

Name	BBLS	BLS	NLOD	PhastCons	PhyloP
Ctcf	0.901	0.838	0.893	0.798	0.754
Myc:Max	0.831	0.826	0.731	0.773	0.690
Zfp281	0.827	0.820	0.611	0.691	0.679
Tcfcp211	0.809	0.500	0.754	0.800	0.668
c-Myc	0.778	0.771	0.734	0.758	0.710
Gli3	0.772	0.771	0.619	0.806	0.659
Gli1	0.770	0.728	0.727	0.704	0.689
E2f5	0.760	0.737	0.632	0.737	0.667
Myc	0.760	0.699	0.540	0.703	0.718
Pdx1	0.757	0.765	0.500	0.696	0.689
Trim28	0.753	0.749	0.609	0.640	0.642
Klf4	0.740	0.500	0.500	0.695	0.678
Esrrb	0.739	0.500	0.516	0.667	0.608
Zfa	0.733	0.731	0.660	0.677	0.644
Mycn	0.730	0.728	0.620	0.690	0.664
Cnot3	0.683	0.688	0.568	0.614	0.597
Stat3	0.677	0.634	0.656	0.655	0.614
Ppara	0.673	0.664	0.642	0.636	0.615
Nr0b1	0.668	0.653	0.598	0.612	0.597
Zfp42	0.629	0.627	0.596	0.650	0.661

Area under the ROC curve (AUC) for predicting transcription factor binding sites identified by ChIP-seq experiments in mouse. Each column is associated with a different method for scoring and ranking the putative sites identified by MotifMap, from which ROC curves and AUCs are computed. The best performing method for each motif is shown in bold.

ISSN: 1471-2105