HilbertCurve: an R/Bioconductor package for high-resolution visualization of genomic data

Bioinformatics. 2016 Aug 1;32(15):2372-4. doi: 10.1093/bioinformatics/btw161. Epub 2016 Mar 24.


: Hilbert curves enable high-resolution visualization of genomic data on a chromosome- or genome-wide scale. Here we present the HilbertCurve package that provides an easy-to-use interface for mapping genomic data to Hilbert curves. The package transforms the curve as a virtual axis, thereby hiding the details of the curve construction from the user. HilbertCurve supports multiple-layer overlay that makes it a powerful tool to correlate the spatial distribution of multiple feature types.

Availability and implementation: The HilbertCurve package and documentation are freely available from the Bioconductor project: http://www.bioconductor.org/packages/devel/bioc/html/HilbertCurve.html

Contact: m.schlesner@dkfz.de

Supplementary information: Supplementary data are available at Bioinformatics online.

MeSH terms

  • Computer Graphics
  • Genome
  • Genomics*
  • Software*