r-bioc-hilbertvis 1.26.0-1 source package in Ubuntu

Changelog

r-bioc-hilbertvis (1.26.0-1) unstable; urgency=medium

  * New upstream version

 -- Andreas Tille <email address hidden>  Thu, 02 Jul 2015 15:58:29 +0200

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Uploaded by:
Debian Med
Uploaded to:
Sid
Original maintainer:
Debian Med
Architectures:
any
Section:
math
Urgency:
Medium Urgency

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Series Pocket Published Component Section

Downloads

File Size SHA-256 Checksum
r-bioc-hilbertvis_1.26.0-1.dsc 2.1 KiB ed6781a1055586c5ac696ba8243e8b2906a0256673f701c9995f991b222afe88
r-bioc-hilbertvis_1.26.0.orig.tar.gz 1021.2 KiB 258e95b33c8dbf899d6d335f01f60e9dc6a5a63e1b947389ba5c7df7b6bc2923
r-bioc-hilbertvis_1.26.0-1.debian.tar.xz 3.4 KiB 39ac4a45963a9712af65db78af4dba8f9560add9d5e1899ff9278d0f8a30550b

Available diffs

No changes file available.

Binary packages built by this source

r-bioc-hilbertvis: 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.

r-bioc-hilbertvis-dbgsym: debug symbols for package r-bioc-hilbertvis

 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.