To install this package, start R and enter:
## try http if https is not available source("https://bioconductor.org/biocLite.R") biocLite("GenoView")
In most cases, you don't need to download the package archive at all.
Bioconductor version: Release (3.1)
Superimposing input data over existing genomic references allows for fast, accurate visual comparisons. The GenoView package is a novel bioinformatics package which condenses genomic data tracks to offer a comprehensive view of genetic variants. Its main function is to display mutation data over exons and protein domains, which easily identifies potential genomic locations of interest.
Author: Sharon Lee, Dennis Wang
Maintainer: Sharon Lee <s274lee at uwaterloo.ca>
Citation (from within R,
enter citation("GenoView")
):
To install this package, start R and enter:
## try http if https is not available source("https://bioconductor.org/biocLite.R") biocLite("GenoView")
To view documentation for the version of this package installed in your system, start R and enter:
browseVignettes("GenoView")
R Script | GenoView | |
Reference Manual |
biocViews | Software, Visualization |
Version | 1.2.0 |
In Bioconductor since | BioC 3.0 (R-3.1) (1 year) |
License | GPL-3 |
Depends | R (>= 2.10), gridExtra, GenomicRanges |
Imports | ggbio, ggplot2, grid, biovizBase |
LinkingTo | |
Suggests | TxDb.Hsapiens.UCSC.hg19.knownGene, PFAM.db, AnnotationDbi, gtable, gWidgets, gWidgetsRGtk2, RGtk2, RColorBrewer |
SystemRequirements | |
Enhances | |
URL | |
Depends On Me | |
Imports Me | |
Suggests Me | |
Build Report |
Follow Installation instructions to use this package in your R session.
Package Source | GenoView_1.2.0.tar.gz |
Windows Binary | GenoView_1.2.0.zip |
Mac OS X 10.6 (Snow Leopard) | GenoView_1.2.0.tgz |
Mac OS X 10.9 (Mavericks) | GenoView_1.2.0.tgz |
Subversion source | (username/password: readonly) |
Git source | https://github.com/Bioconductor-mirror/GenoView/tree/release-3.1 |
Package Short Url | http://bioconductor.org/packages/GenoView/ |
Package Downloads Report | Download Stats |
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