To install this package, start R and enter:
## try http if https is not available source("https://bioconductor.org/biocLite.R") biocLite("ggbio")
In most cases, you don't need to download the package archive at all.
Bioconductor version: 3.1
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, Dianne Cook, Michael Lawrence
Maintainer: Tengfei Yin <yintengfei at gmail.com>
Citation (from within R,
enter citation("ggbio")
):
To install this package, start R and enter:
## try http if https is not available 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")
R Script | Part 0: Introduction and quick start | |
Reference Manual | ||
Text | NEWS |
Follow Installation instructions to use this package in your R session.
Package Source | ggbio_1.16.1.tar.gz |
Windows Binary | ggbio_1.16.1.zip |
Mac OS X 10.6 (Snow Leopard) | ggbio_1.16.1.tgz |
Mac OS X 10.9 (Mavericks) | ggbio_1.16.1.tgz |
Subversion source | (username/password: readonly) |
Git source | https://github.com/Bioconductor-mirror/ggbio/tree/release-3.1 |
Package Short Url | http://bioconductor.org/packages/ggbio/ |
Package Downloads Report | Download Stats |
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