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

Authors :
Xavier Devos
Jean-Bernard Fiche
Marion Bardou
Olivier Messina
Christophe Houbron
Julian Gurgo
Marie Schaeffer
Markus Götz
Thomas Walter
Florian Mueller
Marcelo Nollmann
Source :
Genome Biology, Vol 25, Iss 1, Pp 1-11 (2024)
Publication Year :
2024
Publisher :
BMC, 2024.

Abstract

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.

Details

Language :
English
ISSN :
1474760X
Volume :
25
Issue :
1
Database :
Directory of Open Access Journals
Journal :
Genome Biology
Publication Type :
Academic Journal
Accession number :
edsdoj.71e8100ef7ff4548802e158a94de3b06
Document Type :
article
Full Text :
https://doi.org/10.1186/s13059-024-03178-x