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Source: r-bioc-hilbertvis
Maintainer: Debian R Packages Maintainers <r-pkg-team@alioth-lists.debian.net>
Uploaders: Steffen Moeller <moeller@debian.org>,
Andreas Tille <tille@debian.org>
Section: gnu-r
Priority: optional
Build-Depends: debhelper (>= 11~),
dh-r,
r-base-dev,
r-cran-lattice
Standards-Version: 4.2.1
Vcs-Browser: https://salsa.debian.org/r-pkg-team/r-bioc-hilbertvis
Vcs-Git: https://salsa.debian.org/r-pkg-team/r-bioc-hilbertvis.git
Homepage: https://bioconductor.org/packages/HilbertVis
Package: r-bioc-hilbertvis
Architecture: any
Depends: ${R:Depends},
${shlibs:Depends},
${misc:Depends}
Recommends: ${R:Recommends}
Suggests: ${R:Suggests}
Description: GNU R package to visualise long vector data
This tool allows one 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.
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