biovizBase

DOI: 10.18129/B9.bioc.biovizBase    

Basic graphic utilities for visualization of genomic data.

Bioconductor version: Release (3.6)

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")):

Installation

To install this package, start R and enter:

## try http:// if https:// URLs are not supported
source("https://bioconductor.org/biocLite.R")
biocLite("biovizBase")

Documentation

To view documentation for the version of this package installed in your system, start R and enter:

browseVignettes("biovizBase")

 

PDF R Script An Introduction to biovizBase
PDF   Reference Manual
Text   NEWS

Details

biocViews Infrastructure, Preprocessing, Software, Visualization
Version 1.26.0
In Bioconductor since BioC 2.9 (R-2.14) (6.5 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(>= 1.99.13), AnnotationFilter(>= 0.99.8)
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, ChIPexoQual, ggbio, Gviz, karyoploteR, Pviz, qrqc, Rqc
Suggests Me CINdex, derfinder, derfinderPlot, R3CPET, regionReport
Build Report  

Package Archives

Follow Installation instructions to use this package in your R session.

Source Package biovizBase_1.26.0.tar.gz
Windows Binary biovizBase_1.26.0.zip (32- & 64-bit)
Mac OS X 10.11 (El Capitan) biovizBase_1.26.0.tgz
Source Repository git clone https://git.bioconductor.org/packages/biovizBase
Package Short Url http://bioconductor.org/packages/biovizBase/
Package Downloads Report Download Stats

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