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

Genome Biol. 2024 Feb 13;25(1):47. doi: 10.1186/s13059-024-03178-x.

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.

Keywords: 3D chromatin structure; Bioimage informatics; Imaging; Spatial genomics; Transcription.

Publication types

  • Research Support, Non-U.S. Gov't

MeSH terms

  • Chromatin
  • Chromosomes
  • DNA
  • Genomics* / methods
  • Software*

Substances

  • Chromatin
  • DNA