Package: RIdeogram
Type: Package
Title: Drawing SVG Graphics to Visualize and Map Genome-Wide Data on
        Idiograms
Version: 0.2.2
Authors@R: c(person("Zhaodong", "Hao", email = "haozd1992@163.com", role = c("aut", "cre")),
	     person("Dekang", "Lv", email = "dekanglv@126.com", role = "aut"),
	     person("Ying", "Ge", email = "geying.tju@gmail.com", role = "aut"),
	     person("Jisen", "Shi", email = "Jshi@njfu.edu.cn", role = "aut"),
	     person("Weijers", "Dolf", email = "dolf.weijers@wur.nl", role = "aut"),
	     person("Guangchuang", "Yu", email = "guangchuangyu@gmail.com", role = "aut"),
	     person("Jinhui", "Chen", email = "chenjh@njfu.edu.cn", role = "aut"))
Maintainer: Zhaodong Hao <haozd1992@163.com>
Description: 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.
License: Artistic-2.0
Encoding: UTF-8
LazyData: true
Depends: R (>= 3.5.0)
Imports: ggplot2, grDevices, grImport2, rsvg, scales, tools, tidyr,
        utils
RoxygenNote: 6.1.1
Suggests: knitr, rmarkdown
VignetteBuilder: knitr
NeedsCompilation: no
Packaged: 2020-01-20 10:43:48 UTC; haozhaodong
Author: Zhaodong Hao [aut, cre],
  Dekang Lv [aut],
  Ying Ge [aut],
  Jisen Shi [aut],
  Weijers Dolf [aut],
  Guangchuang Yu [aut],
  Jinhui Chen [aut]
Repository: CRAN
Date/Publication: 2020-01-20 11:20:02 UTC
Built: R 4.7.0; ; 2026-08-18 03:51:07 UTC; windows
