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Updated: Aug 5, 2026
Hi-C: A Method to Study the Three-dimensional Architecture of Genomes.
Published on: May 6, 2010
map3C: a computational tool for processing multiomic single-cell Hi-C data
Joseph Galasso1,2,3, Ye Wang1,4,5,6, Frank Alber4,6
1Bioinformatics Interdepartmental Program, University of California, Los Angeles, Los Angeles, CA 90095, United States.
Summary:
The emergence of multiomic single-cell Hi-C (scHi-C) methods, which simultaneously profile chromatin conformation and other modalities such as gene expression or DNA methylation, creates tremendous opportunities for studying the genome's structure-function relationships. Existing tools for processing multiomic scHi-C datasets lack certain key functions for downstream bioinformatics analysis. We present map3C, a software tool that incorporates additional key functions. Specifically, we demonstrate that map3C facilitates multiomic scHi-C processing, quality control, and identification of structural variant locations in the genome.
Availability And Implementation:
map3C is available at https://github.com/luogenomics/map3C and is archived at https://doi.org/10.5281/zenodo.20724719.
