HiCExplorer is a powerful and easy to use set of tools to process, normalize and visualize Hi-C data.
-
Updated
Dec 2, 2024 - Python
HiCExplorer is a powerful and easy to use set of tools to process, normalize and visualize Hi-C data.
Extract Sequence from Genome According to Annotation File
Software for comparing contact maps from HiC, CaptureC and other 3D genome data.
Nextflow DSL2 pipeline to generate a Genome Note, including assembly statistics, quality metrics, and Hi-C contact maps. This workflow is part of the Tree of Life production suite.
Blazing fast toolkit to work with .hic and .cool files
Joint normalization of two Hi-C matrices, visualization and detection of differential chromatin interactions. See multiHiCcompare for the analysis of multiple Hi-C matrices
Phasing and scaffolding polyploid genomes based on Pore-C or Hi-C.
High-performance stochastic modeling of DNA loop extrusion interactions
3DGB is a workflow to build 3D models of genomes from HiC 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.
I'm sharing my automation of the 3D_DNA and SALSA Hi-C scaffolding pipelines.
FIREcaller: Python library for detecting Frequently Interacting REgions (FIREs) from Hi-C data
Add a description, image, and links to the hic topic page so that developers can more easily learn about it.
To associate your repository with the hic topic, visit your repo's landing page and select "manage topics."