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.
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.
Phasing and scaffolding polyploid genomes based on Pore-C or Hi-C.
3DGB is a workflow to build 3D models of genomes from HiC data
FIREcaller: Python library for detecting Frequently Interacting REgions (FIREs) from Hi-C data
a Snakemake version of distiller - the Open2C Hi-C mapping workflow
Snakemake wrapper around the Arima Capture Hi-C (CHiC) workflow
Configurable Hi-C pipeline that is easy to use
Snakemake pipeline for analysis and normalization of Hi-C data starting from fastq.gz files. It includes the possibility to perform grouped analyses, TAD, loops and stripes detections, as well as differential compartment and chromatin interaction analyses.
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
Snakemake workflow for processing Arima HIC data
Hi-C Architect for Neural Networks
Make a phylogeny using the chromatin structure information extracted from Hi-C experiments (mirror of the original repo)
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."