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Fig. 5 | BMC Bioinformatics

Fig. 5

From: DconnLoop: a deep learning model for predicting chromatin loops based on multi-source data integration

Fig. 5Fig. 5

Comparison of chromatin loop detection by DconnLoop, Peakachu, dloopcaller, Mustache, and Chromosight on GM12878 cells. A Venn diagram of loops predicted by different tools. B Number of loops supported by ChIA-PET, HiChIP, and Capture Hi-C experimental techniques among all detected results on chromosomes 15, 16, and 17. C Enrichment level of ChIP-seq peaks at CTCF binding sites. D Enrichment level of regulatory elements. E Aggregate peak analysis profiles for target (ChIA-PET and HiChIP identified) and annotated loops. F CTCF motif orientation of loops. G Local significance analysis of loops. H, I Distance distribution of loops. J Loop radius statistics. K, L Visualization comparison of detection results from different tools in small regions on chromosomes 15 and 16

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