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
Upload details
- Uploaded by:
- Debian Med
- Uploaded to:
- Sid
- Original maintainer:
- Debian Med
- Architectures:
- any
- Section:
- math
- Urgency:
- Medium Urgency
See full publishing history Publishing
Series | Published | Component | Section |
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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
- diff from 1.24.0-1 to 1.26.0-1 (1.2 KiB)
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.