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: 0.2.0
Depends: R (≥ 3.5.0)
Imports: ggplot2, grDevices, grImport2, rsvg, scales, tools, tidyr, utils
Suggests: knitr, rmarkdown
Published: 2019-11-08
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
CRAN checks: RIdeogram results

Downloads:

Reference manual: RIdeogram.pdf
Vignettes: RIdeogram Usage
Package source: RIdeogram_0.2.0.tar.gz
Windows binaries: r-devel: RIdeogram_0.2.0.zip, r-devel-gcc8: RIdeogram_0.2.0.zip, r-release: RIdeogram_0.2.0.zip, r-oldrel: RIdeogram_0.2.0.zip
OS X binaries: r-release: RIdeogram_0.2.0.tgz, r-oldrel: RIdeogram_0.2.0.tgz
Old sources: RIdeogram archive

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