CHNFTQ/Capricorn

Capricorn: Enhancing Hi-C contact matrices for loop detection with a multi-view diffusion approach

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Capricorn helps geneticists and molecular biologists get clearer, higher-resolution Hi-C contact maps from their raw data. It takes your existing Hi-C contact matrices, which can often be noisy or sparse, and enhances them by integrating additional chromatin features. The output is a "super-resolution" Hi-C matrix, making it easier to accurately identify crucial chromatin loops in genomes.

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Use this if you need to improve the clarity and detail of your Hi-C contact maps to better detect genomic loop structures from potentially low-coverage or noisy experimental data.

Not ideal if you are not working with Hi-C data or primarily need to analyze other types of genomic interactions like ChIP-seq or ATAC-seq.

genomics chromatin-biology Hi-C-data loop-detection genome-architecture
Stale 6m No Package No Dependents
Maintenance 2 / 25
Adoption 4 / 25
Maturity 16 / 25
Community 8 / 25

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Stars

8

Forks

1

Language

Python

License

MIT

Last pushed

May 14, 2025

Commits (30d)

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