GraphChIAr: genome-wide super-resolution reconstruction of protein-mediated remote chromatin interactions by augmenting hi-C interaction maps with multiple ChIP-seq profiles

Hao Dong, Guo-Zheng Rao, Hao-Yu Wang, Xin-Ran Wu, Tong Xian, Bo-Qiang Wang, Pu-Feng Du · 2026

Read GraphChIAr: genome-wide super-resolution reconstruction of protein-mediated remote chromatin interactions by augmenting hi-C interaction maps with multiple ChIP-seq profiles by Hao Dong, Guo-Zheng Rao, Hao-Yu Wang, Xin-Ran Wu, Tong Xian, Bo-Qiang Wang, Pu-Feng Du (2026) in the Tower of Babel, a free online library of public-domain works preserved in clean, searchable text. No sign-up. The full text is served as a plain-text file at a predictable URL, where text is present: https://antarctic-labs.com/tower-of-babel/pmc-13376144.txt.

Description

Hao Dong and co-authors built a deep learning tool to sharpen maps of chromatin contacts in two thousand twenty-six. Proteins that bind DNA mediate long-range contacts that control genes. Direct lab methods for such contacts are costly and scarce, and earlier models had limited resolution.

Their framework, GraphChIAr, starts from Hi-C contact maps and adds many protein binding profiles plus sequence data. It can estimate contact strength down to near-nucleosome resolution, far finer than the input. A shift-distance feature lets it predict contacts between distant genome sites across the whole genome. Checks against known mediators like CTCF showed high accuracy. Code is publicly available.

Catalog record

CREATORHao Dong, Guo-Zheng Rao, Hao-Yu Wang, Xin-Ran Wu, Tong Xian, Bo-Qiang Wang, Pu-Feng Du
YEAR2026
COLLECTIONPAPERS
FORMATTXT
FILE SIZE48 KB
VERSION1.0
LICENSECC BY 4.0
RIGHTSCC BY
SOURCEEurope PMC

Source: https://europepmc.org/articles/PMC13376144

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