RIdeogram: Drawing SVG Graphics to Visualize and Map Genome-Wide Data in 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 in idiograms with no restriction of species.

Version: 0.1.1
Depends: R (≥ 3.4.0)
Imports: ggplot2, grDevices, grImport2, rsvg, scales, tools
Suggests: knitr, rmarkdown
Published: 2019-01-15
Author: Zhaodong Hao [aut, cre], Dekang Lv [aut], Ying Ge [aut], Jisen Shi [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


Reference manual: RIdeogram.pdf
Vignettes: RIdeogram Usage
Package source: RIdeogram_0.1.1.tar.gz
Windows binaries: r-devel: RIdeogram_0.1.1.zip, r-release: RIdeogram_0.1.1.zip, r-oldrel: RIdeogram_0.1.1.zip
OS X binaries: r-release: RIdeogram_0.1.1.tgz, r-oldrel: not available
Old sources: RIdeogram archive


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