To install this package, start R and enter:
## try http:// if https:// URLs are not supported source("https://bioconductor.org/biocLite.R") biocLite("Gviz")
In most cases, you don't need to download the package archive at all.
Bioconductor version: Release (3.5)
Genomic data analyses requires integrated visualization of known genomic information and new experimental data. Gviz uses the biomaRt and the rtracklayer packages to perform live annotation queries to Ensembl and UCSC and translates this to e.g. gene/transcript structures in viewports of the grid graphics package. This results in genomic information plotted together with your data.
Author: Florian Hahne, Steffen Durinck, Robert Ivanek, Arne Mueller, Steve Lianoglou, Ge Tan <ge.tan09 at imperial.ac.uk>, Lance Parsons <lparsons at princeton.edu>, Shraddha Pai <shraddha.pai at utoronto.ca>
Maintainer: Florian Hahne <florian.hahne at novartis.com>
Citation (from within R,
enter citation("Gviz")
):
To install this package, start R and enter:
## try http:// if https:// URLs are not supported source("https://bioconductor.org/biocLite.R") biocLite("Gviz")
To view documentation for the version of this package installed in your system, start R and enter:
browseVignettes("Gviz")
R Script | Gviz users guide | |
Reference Manual | ||
Text | NEWS |
Follow Installation instructions to use this package in your R session.
Source Package | Gviz_1.20.0.tar.gz |
Windows Binary | Gviz_1.20.0.zip |
Mac OS X 10.11 (El Capitan) | Gviz_1.20.0.tgz |
Source Repository | git clone https://git.bioconductor.org/packages/Gviz |
Package Short Url | http://bioconductor.org/packages/Gviz/ |
Package Downloads Report | Download Stats |
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