Journal: Bioinformatics
Article Title: Chrom-Sig: de-noising 1D genomic profiles by signal processing methods
doi: 10.1093/bioinformatics/btaf645
Figure Lengend Snippet: Chrom-Sig results on GM12878 CTCF ChIP-seq and CUT&RUN datasets. (a) Browser views of CTCF binding motifs with orientation (blue triangles) and coverage tracks generated by piling up the original (before Chrom-Sig) and Chrom-Sig ‘pass’ or ‘fail’ reads, accompanied by the peaks called by SICER. (b) Venn diagram of the peaks called on the original and Chrom-Sig ‘pass’ reads pile-up reads using false discovery rate (FDR) of 0.1 and 5000 pseudo-reads, with boxplots of maximum peak intensity for each peak. (c) Number of peaks overlapping CTCF motifs, and top MEME result on the original GM12878 CTCF CUT&RUN data before Chrom-Sig. (d) Similar to panel c for Chrom-Sig ‘pass’ results.
Article Snippet: As visually speculated for GM12878 CTCF CUT&RUN data (4DNFI2G71DR4), there were originally 55 251 peaks, of which 16 757 (42.7%) were recovered by Chrom-Sig ; it also identified a small number (17) of new peaks ( ).
Techniques: ChIP-sequencing, Binding Assay, Generated