Orchestrating chromosome conformation capture analysis with Bioconductor

Jacques Serizay(Centre National de la Recherche Scientifique), Cyril Matthey-Doret(Centre National de la Recherche Scientifique), Amaury Bignaud(Centre National de la Recherche Scientifique), Lyam Baudry(Centre National de la Recherche Scientifique), Romain Koszul(Centre National de la Recherche Scientifique)
Nature Communications
February 5, 2024
Cited by 30Open Access
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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.


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