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Author Spotlight: Getting an A with the 3Cs: Chromosome Conformation Capture for Undergraduates
Published on: May 12, 2023
Orchestrating chromosome conformation capture analysis with Bioconductor
Jacques Serizay1, Cyril Matthey-Doret2,3,4, Amaury Bignaud2,3
1Institut Pasteur, CNRS UMR3525, Université Paris Cité, Unité Régulation Spatiale des Génomes, Paris, France. jacques.serizay@pasteur.fr.
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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