• Medientyp: E-Artikel
  • Titel: Orchestrating chromosome conformation capture analysis with Bioconductor
  • Beteiligte: Serizay, Jacques; Matthey-Doret, Cyril; Bignaud, Amaury; Baudry, Lyam; Koszul, Romain
  • Erschienen: Springer Science and Business Media LLC, 2024
  • Erschienen in: Nature Communications, 15 (2024) 1
  • Sprache: Englisch
  • DOI: 10.1038/s41467-024-44761-x
  • ISSN: 2041-1723
  • Schlagwörter: General Physics and Astronomy ; General Biochemistry, Genetics and Molecular Biology ; General Chemistry ; Multidisciplinary
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  • Beschreibung: <jats:title>Abstract</jats:title><jats:p>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 (<jats:ext-link xmlns:xlink="http://www.w3.org/1999/xlink" ext-link-type="uri" xlink:href="https://bioconductor.org/books/OHCA/">https://bioconductor.org/books/OHCA/</jats:ext-link>) further provides prospective end users with a number of workflows to process, import, analyze and visualize any type of chromosome conformation capture data.</jats:p>
  • Zugangsstatus: Freier Zugang