Accurate inference of transcription factor binding from DNA sequence and chromatin accessibility data

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Figure 3.
Figure 3.

CENTIPEDE performance for six TFs for which ChIP-seq data are available in LCLs. (A) Individual ROC curves for each TF using the CENTIPEDE model with prior information and full DNase I distribution. (B) Performance across all six TFs in terms of the average sensitivity that can be achieved with a 1% false-positive rate (FPR). For both panels, motif instances are defined as ChIP-seq positives if motifs fall inside a ChIP-seq peak called using MACS, or ChIP-seq negatives if the fraction of reads from the control experiment is less than or equal to that from the ChIP treatment (for details, see Supplemental material).

This Article

  1. Genome Res. 21: 447-455

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