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summary: "A C-based library for generating high-resolution Hi-C matrices from low-resolution data using probabilistic methods."
description: |
A C-based library implementing pC-SAC (probabilistically Constrained Self-Avoiding Chromatin), a computational method for generating high-resolution Hi-C matrices from low-resolution input. By employing adaptive importance sampling and sequential Monte Carlo techniques, this library produces ensembles of 3D chromatin chains that satisfy physical constraints derived from low-resolution Hi-C data, enabling accurate and biologically meaningful reconstructions of chromatin structure.