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Published in Nature communications - 05 Feb 2024

Serizay J, Matthey-Doret C, Bignaud A, Baudry L, Koszul R

Link to Pubmed [PMID] – 38316789

Link to DOI – 10.1038/s41467-024-44761-x

Nat Commun 2024 Feb; 15(1): 1072

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.