Orchestrating chromosome conformation capture analysis with Bioconductor.
basic_science · Level V
Where this comes from
- Record sourced from PubMed, PMID 38316789.
- Also identified by DOI 10.1038/s41467-024-44761-x and PMC identifier 10844600.
- Licence recorded as CC BY.
- The licence permits redistribution, so the abstract is shown in full and the full text is available from the publisher.
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.
Medical subject headings
- Chromatin
- Chromosomes