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Updated: Dec 24, 2025

Detection of Copy Number Alterations Using Single Cell Sequencing
Published on: February 17, 2017
HiNT: a computational method for detecting copy number variations and translocations from Hi-C data
Su Wang1, Soohyun Lee1, Chong Chu1
1Department of Biomedical Informatics, Harvard Medical School, Boston, MA, USA.
Abstract:
The three-dimensional conformation of a genome can be profiled using Hi-C, a technique that combines chromatin conformation capture with high-throughput sequencing. However, structural variations often yield features that can be mistaken for chromosomal interactions. Here, we describe a computational method HiNT (Hi-C for copy Number variation and Translocation detection), which detects copy number variations and interchromosomal translocations within Hi-C data with breakpoints at single base-pair resolution. We demonstrate that HiNT outperforms existing methods on both simulated and real data. We also show that Hi-C can supplement whole-genome sequencing in structure variant detection by locating breakpoints in repetitive regions.
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