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This is the development version of biovizBase; for the stable release version, see biovizBase.

Basic graphic utilities for visualization of genomic data.

Bioconductor version: Development (3.20)

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 <michafla at>

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


To install this package, start R (version "4.4") and enter:

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

# The following initializes usage of Bioc devel


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:

An Introduction to biovizBase PDF R Script
Reference Manual PDF


biocViews Infrastructure, Preprocessing, Software, Visualization
Version 1.53.0
In Bioconductor since BioC 2.9 (R-2.14) (12.5 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
System Requirements
See More
Suggests BSgenome.Hsapiens.UCSC.hg19, TxDb.Hsapiens.UCSC.hg19.knownGene, BSgenome, rtracklayer, EnsDb.Hsapiens.v75, RUnit
Linking To
Depends On Me CAFE
Imports Me BubbleTree, ChIPexoQual, ggbio, Gviz, karyoploteR, Pviz, Rqc
Suggests Me CINdex, Damsel, derfinderPlot, FRASER, NanoStringNCTools, OUTRIDER, R3CPET, regionReport, shiny.gosling, StructuralVariantAnnotation, Signac
Links To Me
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Follow Installation instructions to use this package in your R session.

Source Package biovizBase_1.53.0.tar.gz
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macOS Binary (x86_64) biovizBase_1.53.0.tgz
macOS Binary (arm64) biovizBase_1.53.0.tgz
Source Repository git clone
Source Repository (Developer Access) git clone
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