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RIdeogram: Drawing SVG Graphics to Visualize and Map Genome-Wide Data on Idiograms

For whole-genome analysis, idiograms are virtually the most intuitive and effective way to map and visualize the genome-wide information. RIdeogram was developed to visualize and map whole-genome data on idiograms with no restriction of species.

Version: 0.2.2
Depends: R (≥ 3.5.0)
Imports: ggplot2, grDevices, grImport2, rsvg, scales, tools, tidyr, utils
Suggests: knitr, rmarkdown
Published: 2020-01-20
DOI: 10.32614/CRAN.package.RIdeogram
Author: Zhaodong Hao [aut, cre], Dekang Lv [aut], Ying Ge [aut], Jisen Shi [aut], Weijers Dolf [aut], Guangchuang Yu [aut], Jinhui Chen [aut]
Maintainer: Zhaodong Hao <haozd1992 at 163.com>
License: Artistic-2.0
NeedsCompilation: no
Materials: README
In views: Omics
CRAN checks: RIdeogram results

Documentation:

Reference manual: RIdeogram.pdf
Vignettes: RIdeogram Usage

Downloads:

Package source: RIdeogram_0.2.2.tar.gz
Windows binaries: r-devel: RIdeogram_0.2.2.zip, r-release: RIdeogram_0.2.2.zip, r-oldrel: RIdeogram_0.2.2.zip
macOS binaries: r-release (arm64): RIdeogram_0.2.2.tgz, r-oldrel (arm64): RIdeogram_0.2.2.tgz, r-release (x86_64): RIdeogram_0.2.2.tgz, r-oldrel (x86_64): RIdeogram_0.2.2.tgz
Old sources: RIdeogram archive

Linking:

Please use the canonical form https://CRAN.R-project.org/package=RIdeogram to link to this page.

These binaries (installable software) and packages are in development.
They may not be fully stable and should be used with caution. We make no claims about them.
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