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.


RIdeogram is a R package to draw SVG graphics to visualize and map genome-wide data in idiograms (Scalable Vector Graphics http://tutorials.jenkov.com/svg/index.html).

image

Installation

To install package from Github, you need to install the devtools package first

install.packages("devtools")
library(devtools)

Then, you can install the package RIdeogram

devtools::install_github('TickingClock1992/RIdeogram')

To install the package RIdeogram from CRAN

install.package("RIdeogram")

Citation

Zhaodong Hao, Dekang Lv, Ying Ge, Jisen Shi, Guangchuang Yu, and Jinhui Chen (2018). RIdeogram: Drawing SVG graphics to visualize and map genome-wide data in idiograms. R package version 0.1.0.

Usage

https://cran.r-project.org/web/packages/RIdeogram/vignettes/RIdeogram.html

Maintainer

Zhaodong Hao [email protected]
Key Laboratory of Forest Genetics and Biotechnology, Ministry of Education of China
College of Forestry, Nanjing Forestry University
Nanjing 210037, China

https://github.com/TickingClock1992

THANKS

Welcome to any suggestions and discussions.

News

Reference manual

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install.packages("RIdeogram")

0.1.1 by Zhaodong Hao, 3 months ago


Browse source code at https://github.com/cran/RIdeogram


Authors: Zhaodong Hao [aut, cre] , Dekang Lv [aut] , Ying Ge [aut] , Jisen Shi [aut] , Guangchuang Yu [aut] , Jinhui Chen [aut]


Documentation:   PDF Manual  


Artistic-2.0 license


Imports ggplot2, grDevices, grImport2, rsvg, scales, tools

Suggests knitr, rmarkdown


See at CRAN