map3C: a computational tool for processing multiomic single-cell Hi-C data

Galasso, J.; Wang, Y.; Alber, F.; Ernst, J.; Luo, C.

doi:10.1101/2025.10.10.681728

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bioRxiv · 10.1101/2025.10.10.681728

map3C: a computational tool for processing multiomic single-cell Hi-C data

Galasso, J.·Wang, Y.·Alber, F.·Ernst, J.·Luo, C.

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Abstract

SummaryThe emergence of multiomic single-cell Hi-C methods, which simultaneously profile chromatin conformation and other modalities such as gene expression or DNA methylation, creates tremendous opportunities for studying the genomes structure-function relationships. Existing tools for processing multiomic single-cell Hi-C datasets have certain limitations for downstream bioinformatics analysis. We present map3C, a software tool designed to address these limitations. We demonstrate that map3C improves the quality of multiomic single-cell Hi-C data for analysis and its utility for identifying structural variant locations in the genome.

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Galasso, J., Wang, Y., Alber, F., Ernst, J., Luo, C.. 2025-10-15. map3C: a computational tool for processing multiomic single-cell Hi-C data. https://doi.org/10.1101/2025.10.10.681728

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