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TADbit is a complete Python library to deal with all steps to analyze, model and explore 3C-based data. With TADbit the user can map FASTQ files to obtain raw interaction binned matrices (Hi-C like matrices), normalize and correct interaction matrices, identify and compare the so-called Topologically Associating Domains (TADs), build 3D models from the interaction matrices, and finally, extract structural properties from the models. TADbit is complemented by TADkit for visualizing 3D models

Hic2cool ⭐ 50

Lightweight converter between hic and cool contact matrices.

Hicreppy ⭐ 14

Python reimplementation of hicrep with compatibility for sparse matrices

Hiccompare ⭐ 11

Joint normalization of two Hi-C matrices, visualization and detection of differential chromatin interactions. See multiHiCcompare for the analysis of multiple Hi-C matrices

Visual exploration of large genome interaction matrices with interactive small multiples.

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