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Updated: Oct 9, 2025

Deciphering High-Resolution 3D Chromatin Organization via Capture Hi-C
Published on: October 14, 2022
HiCRes: a computational method to estimate and predict the genomic resolution of Hi-C libraries
Claire Marchal1,2, Nivedita Singh1, Ximena Corso-Díaz1
1Neurobiology, Neurodegeneration & Repair Laboratory, National Eye Institute, National Institutes of Health, MSC0610, 6 Center Drive, Bethesda, MD 20892, USA.
None:
Three-dimensional (3D) conformation of the chromatin is crucial to stringently regulate gene expression patterns and DNA replication in a cell-type specific manner. Hi-C is a key technique for measuring 3D chromatin interactions genome wide. Estimating and predicting the resolution of a library is an essential step in any Hi-C experimental design. Here, we present the mathematical concepts to estimate the resolution of a dataset and predict whether deeper sequencing would enhance the resolution. We have developed HiCRes, a docker pipeline, by applying these concepts to several Hi-C libraries.

