HilbertCurve

The "HilbertCurve" software package facilitates the high-resolution visualization of genomic data on a chromosome- or genome-wide scale using Hilbert curves. Hilbert curves map multi-dimensional data to a one-dimensional space, making them particularly useful for visualizing complex genomic data.

The key feature of the HilbertCurve package is its user-friendly interface, which simplifies the process of mapping genomic data onto Hilbert curves. It effectively transforms the curve into a virtual axis, abstracting away the complexities of curve construction and making it accessible even to users who may not be familiar with the mathematical intricacies of Hilbert curves.
Additionally, the package supports the overlay of multiple layers. This functionality is crucial for researchers looking to correlate and compare the spatial distribution of various genomic features.

Topic

Data visualisation

Detail

  • Operation: Map drawing

  • Software interface: Command-line user interface;Library

  • Language: R

  • License: The MIT License + file license

  • Cost: Free

  • Version name: 1.26.0

  • Credit: German Cancer Research Center-Heidelberg Center for Personalized Oncology, the BMBF-funded de.NBI HD-HuB network.

  • Input: -

  • Output: -

  • Contact: Matthias Schlesner m.schlesner@dkfz.de, Zuguang Gu z.gu@dkfz.de

  • Collection: -

  • Maturity: Mature

Publications

  • HilbertCurve: an R/Bioconductor package for high-resolution visualization of genomic data.
  • Gu Z, Eils R, Schlesner M. 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. PMID: 27153599.
  • https://doi.org/10.1093/bioinformatics/btw161
  • PMID: 27153599
  • PMC: -

Download and documentation


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