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Epigenomics ag ctcf chip-seq data
Ctcf Chip Seq Data, supplied by Epigenomics ag, used in various techniques. Bioz Stars score: 90/100, based on 1 PubMed citations. ZERO BIAS - scores, article reviews, protocol conditions and more
https://www.bioz.com/result/ctcf chip-seq data/product/Epigenomics ag
Average 90 stars, based on 1 article reviews
ctcf chip-seq data - by Bioz Stars, 2026-06
90/100 stars

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Chrom-Sig results on <t>GM12878</t> 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.
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Chrom-Sig results on <t>GM12878</t> 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.
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Chrom-Sig results on <t>GM12878</t> 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.
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Chrom-Sig results on <t>GM12878</t> 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.
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Chrom-Sig results on <t>GM12878</t> 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.
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Chrom-Sig results on <t>GM12878</t> 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.
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Chromatin 3D structures. Shown is a two-dimensional heatmap of Hi-C interaction frequencies in IMR90 cells from a 5 MB region of Chr2 generated using the website: http://www.3dgenome.org and the color key represents the interaction counts between two loci. Highlighted in gray is a repressed compartment and highlighted in orange is an active compartment. Also shown <t>is</t> <t>ChIP-seq</t> data for <t>CTCF</t> and histone modifications, as well as a wavelet-smoothed Repli-seq track representing DNA replication timing; all datasets were taken from the University of California, Santa Cruz genome browser. For each compartment, a model of chromatin interactions is shown (which are more frequent within a TAD than between TADs) facilitated by CTCF, Cohesin, and Mediator. Long-distance constitutive interactions require a pair of CTCF sites with convergently orientated motifs as anchors; any combination of CTCF, cohesin, and mediator can facilitate median distance interactions. Many other CTCF-binding sites (green bars) are not involved in chromatin interactions and occur within loops. (see the color version of this figure at www.informahealthcare.com/bmg ).
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Image Search Results


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.

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: For example, the GM12878 CTCF ChIP-seq data were originally noisy with a large portion of reads in non-binding sites, but Chrom-Sig with FDR of 0.1 retained only the reads with strong binding ( ).

Techniques: ChIP-sequencing, Binding Assay, Generated

Chromatin 3D structures. Shown is a two-dimensional heatmap of Hi-C interaction frequencies in IMR90 cells from a 5 MB region of Chr2 generated using the website: http://www.3dgenome.org and the color key represents the interaction counts between two loci. Highlighted in gray is a repressed compartment and highlighted in orange is an active compartment. Also shown is ChIP-seq data for CTCF and histone modifications, as well as a wavelet-smoothed Repli-seq track representing DNA replication timing; all datasets were taken from the University of California, Santa Cruz genome browser. For each compartment, a model of chromatin interactions is shown (which are more frequent within a TAD than between TADs) facilitated by CTCF, Cohesin, and Mediator. Long-distance constitutive interactions require a pair of CTCF sites with convergently orientated motifs as anchors; any combination of CTCF, cohesin, and mediator can facilitate median distance interactions. Many other CTCF-binding sites (green bars) are not involved in chromatin interactions and occur within loops. (see the color version of this figure at www.informahealthcare.com/bmg ).

Journal: Critical Reviews in Biochemistry and Molecular Biology

Article Title: Demystifying the secret mission of enhancers: linking distal regulatory elements to target genes

doi: 10.3109/10409238.2015.1087961

Figure Lengend Snippet: Chromatin 3D structures. Shown is a two-dimensional heatmap of Hi-C interaction frequencies in IMR90 cells from a 5 MB region of Chr2 generated using the website: http://www.3dgenome.org and the color key represents the interaction counts between two loci. Highlighted in gray is a repressed compartment and highlighted in orange is an active compartment. Also shown is ChIP-seq data for CTCF and histone modifications, as well as a wavelet-smoothed Repli-seq track representing DNA replication timing; all datasets were taken from the University of California, Santa Cruz genome browser. For each compartment, a model of chromatin interactions is shown (which are more frequent within a TAD than between TADs) facilitated by CTCF, Cohesin, and Mediator. Long-distance constitutive interactions require a pair of CTCF sites with convergently orientated motifs as anchors; any combination of CTCF, cohesin, and mediator can facilitate median distance interactions. Many other CTCF-binding sites (green bars) are not involved in chromatin interactions and occur within loops. (see the color version of this figure at www.informahealthcare.com/bmg ).

Article Snippet: Also shown is ChIP-seq data for CTCF and histone modifications, as well as a wavelet-smoothed Repli-seq track representing DNA replication timing; all datasets were taken from the University of California, Santa Cruz genome browser.

Techniques: Hi-C, Generated, ChIP-sequencing, Binding Assay