This repository includes code and a pre-trained model of scHiGex for single-cell gene expression prediction.
-
Updated
May 26, 2024 - Python
This repository includes code and a pre-trained model of scHiGex for single-cell gene expression prediction.
Assembler for HiC data
Configurable Hi-C pipeline that is easy to use
Python decoder for the HiC genome contact format
Hi-C-LSTM is a framework to form Hi-C representations that are useful for tasks such as element identification and in-silico modification.
A Graph Transformer that creates hierarchal representations for HiC data.
Super enhancement of Hi-C contact map resolutions
Analysis code for "Whole genome doubling drives oncogenic loss of chromatin segregation"
SCI and LINE to form Hi-C graph embeddings. Comparison with Hi-C-LSTM. Modification of original repository.
Projet MEET-U master 2 BIM : 2022 - 2023 Projet de bio-informatique sur les compartiments codé en Python
Method for rescuing collapsed contigs.
On-the-fly processing and visualization of interactome data
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.
Add a description, image, and links to the hi-c topic page so that developers can more easily learn about it.
To associate your repository with the hi-c topic, visit your repo's landing page and select "manage topics."