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GNU R package to visualise long vector data

This tool allows to display very long data vectors in a space-efficient manner, by organising it along a 2D Hilbert curve. The user can then visually judge the large scale structure and distribution of features simultaenously with the rough shape and intensity of individual features.

In bioinformatics, a typical use case is ChIP-Chip and ChIP-Seq, or basically all the kinds of genomic data, that are conventionally displayed as quantitative track ("wiggle data") in genome browsers such as those provided by Ensembl or UCSC.

Package version:1.5.0-2


r-bioc-hilbertvis (1.5.0-2) unstable; urgency=low

  * Fixing missing dependency on lattice. (Closes: #557031)

 -- Steffen Moeller <>  Thu, 19 Nov 2009 12:29:05 +0100

r-bioc-hilbertvis (1.5.0-1) unstable; urgency=low

  * Initial release (Closes: #555921).
 -- Steffen Moeller <>  Thu, 12 Nov 2009 15:15:08 +0100


The R library HilvertVis was written by Simon Anders <>
at the European Bioinformatics Institute (EBI), an outstation of the
European Molecular Biology Lab (EMBL), in the group of Wolfgang Huber.

This package was created by Steffen Moeller <>.

The sources were downloaded from .

The package was rename

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