dcHiC
dcHiC is a tool that utilizes a multivariate distance measure to compare multiple contact maps and identify significant changes in their compartmentalization. Evaluated on four collections of bulk and single-cell contact maps, dcHiC was shown to be effective and sensitive in detecting biologically relevant changes, such as associated genes, chromatin states, subcompartments, replication timing, and lamin association. dcHiC is an efficient and powerful tool that enables high-resolution compartment analysis, standalone browser visualization, differential interaction identification, and time-series clustering.
Topic
Epigenetics;DNA;ChIP-seq;Model organisms;Zoology
Detail
Operation: Gene-set enrichment analysis;Essential dynamics;Differential gene expression profiling
Software interface: Library
Language: R
License: The MIT
Cost: Free
Version name: 2.1
Credit: NIH
Input: -
Output: -
Contact: Abhijit Chakraborty abhijit@lji.org, Ferhat Ay ferhatay@lji.org
Collection: -
Maturity: -
Publications
- dcHiC detects differential compartments across multiple Hi-C datasets.
- Chakraborty A, et al. dcHiC detects differential compartments across multiple Hi-C datasets. dcHiC detects differential compartments across multiple Hi-C datasets. 2022; 13:6827. doi: 10.1038/s41467-022-34626-6
- https://doi.org/10.1038/S41467-022-34626-6
- PMID: 36369226
- PMC: PMC9652325
Download and documentation
Source: https://github.com/ay-lab/dcHiC/releases/tag/dcHiCv2.1
Documentation: https://github.com/ay-lab/dcHiC/blob/master/README.md
Home page: https://github.com/ay-lab/dcHiC
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