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HiC-DC+: systematic 3D interaction calls and differential analysis for Hi-C and HiChIP
Link to bioRxiv paper:
http://biorxiv.org/cgi/content/short/2020.10.11.335273v1?rss=1
Authors: Sahin, M., Wong, W., Zhan, Y., Van Deynze, K., Koche, R., Leslie, C. S.
Abstract:
We present HiC-DC+, a software tool for Hi-C/Hi-ChIP interaction calling and differential analysis using an efficient implementation of the HiC-DC statistical framework. HiC-DC+ integrates with popular preprocessing and visualization tools, includes TAD and A/B compartment callers, and outperformed existing tools in H3K27ac HiChIP benchmarking as validated by CRISPRi-FlowFISH. Differential HiC-DC+ analysis recovered global principles of 3D organization during cohesin perturbation and differentiation, including TAD aggregation, enhancer hubs, and promoter-enhancer loop dynamics.
Copy rights belong to original authors. Visit the link for more info
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By Multimodal LLCLink to bioRxiv paper:
http://biorxiv.org/cgi/content/short/2020.10.11.335273v1?rss=1
Authors: Sahin, M., Wong, W., Zhan, Y., Van Deynze, K., Koche, R., Leslie, C. S.
Abstract:
We present HiC-DC+, a software tool for Hi-C/Hi-ChIP interaction calling and differential analysis using an efficient implementation of the HiC-DC statistical framework. HiC-DC+ integrates with popular preprocessing and visualization tools, includes TAD and A/B compartment callers, and outperformed existing tools in H3K27ac HiChIP benchmarking as validated by CRISPRi-FlowFISH. Differential HiC-DC+ analysis recovered global principles of 3D organization during cohesin perturbation and differentiation, including TAD aggregation, enhancer hubs, and promoter-enhancer loop dynamics.
Copy rights belong to original authors. Visit the link for more info