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.
CITATION STYLE
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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