pyHiM: a new open-source, multi-platform software package for spatial genomics based on multiplexed DNA-FISH imaging

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Abstract

Genome-wide ensemble sequencing methods improved our understanding of chromatin organization in eukaryotes but lack the ability to capture single-cell heterogeneity and spatial organization. To overcome these limitations, new imaging-based methods have emerged, giving rise to the field of spatial genomics. Here, we present pyHiM, a user-friendly python toolbox specifically designed for the analysis of multiplexed DNA-FISH data and the reconstruction of chromatin traces in individual cells. pyHiM employs a modular architecture, allowing independent execution of analysis steps and customization according to sample specificity and computing resources. pyHiM aims to facilitate the democratization and standardization of spatial genomics analysis.

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Devos, X., Fiche, J. B., Bardou, M., Messina, O., Houbron, C., Gurgo, J., … Nollmann, M. (2024). pyHiM: a new open-source, multi-platform software package for spatial genomics based on multiplexed DNA-FISH imaging. Genome Biology, 25(1). https://doi.org/10.1186/s13059-024-03178-x

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