HiCExplorer is a powerful and easy to use set of tools to process, normalize and visualize Hi-C data.
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Updated
Apr 24, 2024 - Python
HiCExplorer is a powerful and easy to use set of tools to process, normalize and visualize Hi-C data.
Software for comparing contact maps from HiC, CaptureC and other 3D genome data.
Pipeline for HiCAR data, a robust and sensitive multi-omic co-assay for simultaneous measurement of transcriptome, chromatin accessibility and cis-regulatory chromatin contacts.
Irreproducible discovery rate for genomic interaction data
Identification of enriched motif pairs from chromatin interaction data
This Nextflow DSL2 pipeline takes aligned HiC reads, creates contact maps and a table of statistics.
Joint normalization of two Hi-C matrices, visualization and detection of differential chromatin interactions. See multiHiCcompare for the analysis of multiple Hi-C matrices
I'm sharing my automation of the 3D_DNA and SALSA Hi-C scaffolding pipelines.
A two-step model that combines neural network and ensemble learning to predict OCR–mediated interactions.
A python library to display HiC data on a circular strip and to integrate genomic data
3DGB is a workflow to build 3D models of genomes from HiC data
Blazing fast toolkit to work with .hic and .cool files
[Research Intern work] HiC Data Analysis Suite
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