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Orchestrating chromosome conformation capture analysis with Bioconductor.

Jacques SerizayCyril Matthey-DoretAmaury BignaudLyam BaudryRomain Koszul
Published in: Nature communications (2024)
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.
Keyphrases
  • electronic health record
  • genome wide
  • big data
  • gene expression
  • dna methylation
  • copy number
  • dna damage
  • machine learning
  • high throughput
  • oxidative stress
  • artificial intelligence