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HiCociety (version 0.1.38)

Inferring Chromatin Interaction Modules from 3C-Based Data

Description

Identifies chromatin interaction modules by constructing a Hi-C contact network based on statistically significant interactions, followed by network clustering. The method enables comparison of module connectivity across two Hi-C datasets and is capable of detecting cell-type-specific regulatory modules. By integrating network analysis with chromatin conformation data, this approach provides insights into the spatial organization of the genome and its functional implications in gene regulation. Author: Sora Yoon (2025) .

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Version

Install

install.packages('HiCociety')

Monthly Downloads

84

Version

0.1.38

License

GPL-3

Maintainer

Sora Yoon

Last Published

May 13th, 2025

Functions in HiCociety (0.1.38)

getContactFrequency

Get contact Frequency
get_txdb

All available Txdb
getElbowPoint

Estimation of elbow point from J-shaped-curve
ConnectivityDiff

Connectivity difference between two conditions
get_all_chr_names

Retrieve chromosome names from .hic file
calculate_avg_count

Calculate Average Count within 5-pixel Padding
hic2community

Create module objects from the Hi-C data
getContactProbability

Contact probability
check_package

Check if a package is installed
hic2network

HiC to network data format
visualizeModule

Visualization of module
add_Genes

Add gene information