To install this package, start R and enter:
## try http:// if https:// URLs are not supported source("https://bioconductor.org/biocLite.R") biocLite("GenVisR")
In most cases, you don't need to download the package archive at all.
Bioconductor version: Release (3.4)
Produce highly customizable publication quality graphics for genomic data primarily at the cohort level.
Author: Zachary Skidmore [aut, cre], Alex Wagner [aut], Robert Lesurf [aut], Katie Campbell [aut], Jason Kunisaki [aut], Obi Griffith [aut], Malachi Griffith [aut]
Maintainer: Zachary Skidmore <zlskidmore at gmail.com>
Citation (from within R,
enter citation("GenVisR")
):
To install this package, start R and enter:
## try http:// if https:// URLs are not supported source("https://bioconductor.org/biocLite.R") biocLite("GenVisR")
HTML | R Script | GenVisR: An introduction |
HTML | R Script | waterfall: function introduction |
Reference Manual | ||
Text | NEWS | |
Text | LICENSE |
biocViews | Classification, DNASeq, DataRepresentation, Infrastructure, Software |
Version | 1.4.1 |
In Bioconductor since | BioC 3.3 (R-3.3) (1 year) |
License | GPL-3 + file LICENSE |
Depends | R (>= 3.3.0) |
Imports | AnnotationDbi, biomaRt, BiocGenerics, Biostrings, DBI, FField, GenomicFeatures, GenomicRanges, ggplot2 (>= 2.1.0), grid, gridExtra, gtable, gtools, IRanges, plyr (>= 1.8.3), reshape2, Rsamtools, scales, stats, utils, viridis |
LinkingTo | |
Suggests | BiocStyle, BSgenome.Hsapiens.UCSC.hg19, knitr, RMySQL, roxygen2, testthat, TxDb.Hsapiens.UCSC.hg19.knownGene, rmarkdown |
SystemRequirements | |
Enhances | |
URL | |
BugReports | https://github.com/griffithlab/GenVisR/issues |
Depends On Me | |
Imports Me | |
Suggests Me | |
Build Report |
Follow Installation instructions to use this package in your R session.
Package Source | GenVisR_1.4.1.tar.gz |
Windows Binary | GenVisR_1.4.1.zip |
Mac OS X 10.9 (Mavericks) | GenVisR_1.4.1.tgz |
Subversion source | (username/password: readonly) |
Git source | https://github.com/Bioconductor-mirror/GenVisR/tree/release-3.4 |
Package Short Url | http://bioconductor.org/packages/GenVisR/ |
Package Downloads Report | Download Stats |
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