To install this package, start R and enter:
## try http:// if https:// URLs are not supported source("https://bioconductor.org/biocLite.R") biocLite("ggbio")
In most cases, you don't need to download the package archive at all.
Bioconductor version: Release (3.5)
The ggbio package extends and specializes the grammar of graphics for biological data. The graphics are designed to answer common scientific questions, in particular those often asked of high throughput genomics data. All core Bioconductor data structures are supported, where appropriate. The package supports detailed views of particular genomic regions, as well as genome-wide overviews. Supported overviews include ideograms and grand linear views. High-level plots include sequence fragment length, edge-linked interval to data view, mismatch pileup, and several splicing summaries.
Author: Tengfei Yin [aut], Michael Lawrence [aut, ths, cre], Dianne Cook [aut, ths], Johannes Rainer [ctb]
Maintainer: Michael Lawrence <lawrence.michael at gene.com>
Citation (from within R,
enter citation("ggbio")
):
To install this package, start R and enter:
## try http:// if https:// URLs are not supported source("https://bioconductor.org/biocLite.R") biocLite("ggbio")
To view documentation for the version of this package installed in your system, start R and enter:
browseVignettes("ggbio")
Part 0: Introduction and quick start | ||
Reference Manual | ||
Text | NEWS |
Follow Installation instructions to use this package in your R session.
Source Package | ggbio_1.24.1.tar.gz |
Windows Binary | ggbio_1.24.1.zip |
Mac OS X 10.11 (El Capitan) | ggbio_1.24.1.tgz |
Source Repository | git clone https://git.bioconductor.org/packages/ggbio |
Package Short Url | http://bioconductor.org/packages/ggbio/ |
Package Downloads Report | Download Stats |
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