title: HilbertCurve: an R/Bioconductor package for high-resolution visualization of genomic data.
abstract: : 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.
  
  
  
  The HilbertCurve package and documentation are freely available from the Bioconductor project: http://www.bioconductor.org/packages/devel/bioc/html/HilbertCurve.html
  
  
  
  m.schlesner@dkfz.de
  
  
  
  Supplementary data are available at Bioinformatics online.
authors.affiliation: Division of Theoretical Bioinformatics Heidelberg Center for Personalized Oncology (DKFZ-HIPO), German Cancer Research Center (DKFZ), Heidelberg, Germany.
authors.forename: Zuguang
authors.initials: Z
authors.lastname: Gu
authors.affiliation: Division of Theoretical Bioinformatics Heidelberg Center for Personalized Oncology (DKFZ-HIPO), German Cancer Research Center (DKFZ), Heidelberg, Germany Department for Bioinformatics and Functional Genomics, Institute for Pharmacy and Molecular Biotechnology (IPMB) and BioQuant, Heidelberg University, Heidelberg, Germany.
authors.forename: Roland
authors.initials: R
authors.lastname: Eils
authors.affiliation: Division of Theoretical Bioinformatics.
authors.forename: Matthias
authors.initials: M
authors.lastname: Schlesner
mesh_terms: D003196:Computer Graphics; D016678:Genome; D023281:Genomics; D012984:Software