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

  • Xavier Devos,
  • Jean-Bernard Fiche,
  • Marion Bardou,
  • Olivier Messina,
  • Christophe Houbron,
  • Julian Gurgo,
  • Marie Schaeffer,
  • Markus Götz,
  • Thomas Walter,
  • Florian Mueller,
  • Marcelo Nollmann

摘要

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.