To install this package, start R and enter:
## try http:// if https:// URLs are not supported source("https://bioconductor.org/biocLite.R") biocLite("biovizBase")
In most cases, you don't need to download the package archive at all.
Bioconductor version: Release (3.4)
The biovizBase package is designed to provide a set of utilities, color schemes and conventions for genomic data. It serves as the base for various high-level packages for biological data visualization. This saves development effort and encourages consistency.
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("biovizBase")
):
To install this package, start R and enter:
## try http:// if https:// URLs are not supported source("https://bioconductor.org/biocLite.R") biocLite("biovizBase")
To view documentation for the version of this package installed in your system, start R and enter:
browseVignettes("biovizBase")
R Script | An Introduction to biovizBase | |
Reference Manual | ||
Text | NEWS |
biocViews | Infrastructure, Preprocessing, Software, Visualization |
Version | 1.22.0 |
In Bioconductor since | BioC 2.9 (R-2.14) (5.5 years) |
License | Artistic-2.0 |
Depends | R (>= 2.10), methods |
Imports | grDevices, stats, scales, Hmisc, RColorBrewer, dichromat, BiocGenerics, S4Vectors(>= 0.9.25), IRanges(>= 1.99.28), GenomeInfoDb(>= 1.5.14), GenomicRanges(>= 1.23.21), SummarizedExperiment, Biostrings(>= 2.33.11), Rsamtools(>= 1.17.28), GenomicAlignments(>= 1.1.16), GenomicFeatures(>= 1.21.19), AnnotationDbi, VariantAnnotation(>= 1.11.4), ensembldb(>= 1.3.8) |
LinkingTo | |
Suggests | BSgenome.Hsapiens.UCSC.hg19, TxDb.Hsapiens.UCSC.hg19.knownGene, BSgenome, rtracklayer, EnsDb.Hsapiens.v75, RUnit |
SystemRequirements | |
Enhances | |
URL | |
Depends On Me | CAFE, qrqc |
Imports Me | BubbleTree, ggbio, Gviz, Pviz, qrqc, Rqc |
Suggests Me | CINdex, derfinder, derfinderPlot, R3CPET, regionReport |
Build Report |
Follow Installation instructions to use this package in your R session.
Package Source | biovizBase_1.22.0.tar.gz |
Windows Binary | biovizBase_1.22.0.zip (32- & 64-bit) |
Mac OS X 10.9 (Mavericks) | biovizBase_1.22.0.tgz |
Subversion source | (username/password: readonly) |
Git source | https://github.com/Bioconductor-mirror/biovizBase/tree/release-3.4 |
Package Short Url | http://bioconductor.org/packages/biovizBase/ |
Package Downloads Report | Download Stats |
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