DOI: 10.18129/B9.bioc.biovizBase    

This package is for version 3.10 of Bioconductor; for the stable, up-to-date release version, see biovizBase.

Basic graphic utilities for visualization of genomic data.

Bioconductor version: 3.10

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>

Citation (from within R, enter citation("biovizBase")):


To install this package, start R (version "3.6") and enter:

if (!requireNamespace("BiocManager", quietly = TRUE))


For older versions of R, please refer to the appropriate Bioconductor release.


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



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


biocViews Infrastructure, Preprocessing, Software, Visualization
Version 1.34.1
In Bioconductor since BioC 2.9 (R-2.14) (8.5 years)
License Artistic-2.0
Depends R (>= 3.5.0), methods
Imports grDevices, stats, scales, Hmisc, RColorBrewer, dichromat, BiocGenerics, S4Vectors(>= 0.23.19), 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), rlang
Suggests BSgenome.Hsapiens.UCSC.hg19, TxDb.Hsapiens.UCSC.hg19.knownGene, BSgenome, rtracklayer, EnsDb.Hsapiens.v75, RUnit
Depends On Me CAFE, qrqc
Imports Me BubbleTree, ChIPexoQual, ggbio, Gviz, karyoploteR, Pviz, qrqc, RNAmodR, Rqc
Suggests Me CINdex, derfinder, derfinderPlot, R3CPET, regionReport, StructuralVariantAnnotation, TxRegInfra
Links To Me
Build Report  

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

Source Package biovizBase_1.34.1.tar.gz
Windows Binary (32- & 64-bit)
Mac OS X 10.11 (El Capitan) biovizBase_1.34.1.tgz
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