recipe bioconductor-ggbio

The ggbio package extends and specializes the grammar of graphics for biological data. The graphics are designed to answer common scientific questions, in particular those often asked of high throughput genomics data. All core Bioconductor data structures are supported, where appropriate. The package supports detailed views of particular genomic regions, as well as genome-wide overviews. Supported overviews include ideograms and grand linear views. High-level plots include sequence fragment length, edge-linked interval to data view, mismatch pileup, and several splicing summaries.







biotools: ggbio

package bioconductor-ggbio

(downloads) docker_bioconductor-ggbio


1.30.0-0, 1.28.5-0, 1.26.0-0, 1.24.1-0, 1.22.0-0, 1.20.2-0, 1.18.5-0, 1.18.1-0, 1.18.0-0

Depends bioconductor-annotationdbi


Depends bioconductor-annotationfilter


Depends bioconductor-biobase


Depends bioconductor-biocgenerics


Depends bioconductor-biostrings


Depends bioconductor-biovizbase


Depends bioconductor-bsgenome


Depends bioconductor-ensembldb


Depends bioconductor-genomeinfodb


Depends bioconductor-genomicalignments


Depends bioconductor-genomicfeatures


Depends bioconductor-genomicranges


Depends bioconductor-iranges


Depends bioconductor-organismdbi


Depends bioconductor-rsamtools


Depends bioconductor-rtracklayer


Depends bioconductor-s4vectors


Depends bioconductor-summarizedexperiment


Depends bioconductor-variantannotation


Depends r-base


Depends r-ggally

Depends r-ggplot2


Depends r-gridextra

Depends r-gtable

Depends r-hmisc

Depends r-reshape2

Depends r-rlang

Depends r-scales



With an activated Bioconda channel (see 2. Set up channels), install with:

conda install bioconductor-ggbio

and update with:

conda update bioconductor-ggbio

or use the docker container:

docker pull<tag>

(see bioconductor-ggbio/tags for valid values for <tag>)