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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 |
| 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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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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