Journal
BIOINFORMATICS
Volume 32, Issue 15, Pages 2372-2374Publisher
OXFORD UNIV PRESS
DOI: 10.1093/bioinformatics/btw161
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Funding
- German Cancer Research Center-Heidelberg Center for Personalized Oncology (DKFZ-HIPO)
- BMBF [031A537A, 031A537C]
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Hilbert curves enable high-resolution visualization of genomic data on a chromosomeor 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
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