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


Reference manual: RIdeogram.pdf
Vignettes: RIdeogram Usage


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


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