Orchestrating chromosome conformation capture analysis with Bioconductor

Jacques Serizay (), Cyril Matthey-Doret, Amaury Bignaud, Lyam Baudry and Romain Koszul
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Jacques Serizay: Université Paris Cité, Unité Régulation Spatiale des Génomes
Cyril Matthey-Doret: Université Paris Cité, Unité Régulation Spatiale des Génomes
Amaury Bignaud: Université Paris Cité, Unité Régulation Spatiale des Génomes
Lyam Baudry: Université Paris Cité, Unité Régulation Spatiale des Génomes
Romain Koszul: Université Paris Cité, Unité Régulation Spatiale des Génomes

Nature Communications, 2024, vol. 15, issue 1, 1-9

Abstract: Abstract Genome-wide chromatin conformation capture assays provide formidable insights into the spatial organization of genomes. However, due to the complexity of the data structure, their integration in multi-omics workflows remains challenging. We present data structures, computational methods and visualization tools available in Bioconductor to investigate Hi-C, micro-C and other 3C-related data, in R. An online book ( https://bioconductor.org/books/OHCA/ ) further provides prospective end users with a number of workflows to process, import, analyze and visualize any type of chromosome conformation capture data.

Date: 2024
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DOI: 10.1038/s41467-024-44761-x

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