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: RIdeogram_0.1.1.tgz |
| Old sources: | RIdeogram archive |
Please use the canonical form https://CRAN.R-project.org/package=RIdeogram to link to this page.