tanjimin/C.Origami
C.Origami, a prediction and screening framework for cell type-specific 3D chromatin structure.
This project helps geneticists and biologists predict how DNA folds into 3D structures within specific cell types, directly from their DNA sequence. It takes DNA sequence data along with cell-specific features like CTCF ChIP-seq and ATAC-seq, and outputs detailed 3D chromatin architecture predictions, including images and matrices, for a 2MB genomic window. Researchers can use this to understand how gene-editing or genetic mutations might alter cell function.
Use this if you need to predict the 3D chromatin structure for a specific cell type based on its DNA sequence and genomic features, or if you want to simulate the impact of genetic deletions on this structure.
Not ideal if you are looking to analyze protein-protein interactions or cellular processes unrelated to chromatin organization.
Stars
84
Forks
14
Language
Python
License
—
Category
Last pushed
Feb 17, 2026
Commits (30d)
0
Get this data via API
curl "https://pt-edge.onrender.com/api/v1/quality/ml-frameworks/tanjimin/C.Origami"
Open to everyone — 100 requests/day, no key needed. Get a free key for 1,000/day.
Higher-rated alternatives
scverse/scvi-tools
Deep probabilistic analysis of single-cell and spatial omics data
scverse/scanpy
Single-cell analysis in Python. Scales to >100M cells.
Teichlab/celltypist
A tool for semi-automatic cell type classification
theislab/scarches
Reference mapping for single-cell genomics
Lotfollahi-lab/nichecompass
End-to-end analysis of spatial multi-omics data