Source: r-bioc-hilbertvis
Standards-Version: 4.7.3
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
Testsuite: autopkgtest-pkg-r
Build-Depends:
 debhelper-compat (= 13),
 dh-r,
 r-base-dev,
 r-cran-lattice,
 architecture-is-64-bit,
 architecture-is-little-endian,
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
Rules-Requires-Root: no

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.
