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Updated: Mar 21, 2026

Hi-C: A Method to Study the Three-dimensional Architecture of Genomes.
Published on: May 6, 2010
HilbertCurve: an R/Bioconductor package for high-resolution visualization of genomic data
Zuguang Gu1, Roland Eils2, Matthias Schlesner3
1Division of Theoretical Bioinformatics Heidelberg Center for Personalized Oncology (DKFZ-HIPO), German Cancer Research Center (DKFZ), Heidelberg, Germany.
Unlabelled:
: 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.
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