HiCExplorer is a powerful and easy to use set of tools to process, normalize and visualize Hi-C data.
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Updated
Jun 28, 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.
This Nextflow DSL2 pipeline takes aligned HiC reads, creates contact maps and a table of statistics.
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
a Snakemake version of distiller - the Open2C Hi-C mapping workflow
3DGB is a workflow to build 3D models of genomes from HiC data
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
Extract Sequence from Genome According to Annotation File
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