recipe bioconductor-biovizbase

Basic graphic utilities for visualization of genomic data.

Homepage

https://bioconductor.org/packages/3.11/bioc/html/biovizBase.html

License

Artistic-2.0

Recipe

/bioconductor-biovizbase/meta.yaml

Links

biotools: biovizbase, doi: 10.1038/nmeth.3252

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.

package bioconductor-biovizbase

Versions

1.36.0-0,  1.34.0-0,  1.32.0-1,  1.30.1-0,  1.30.0-0,  1.28.2-0,  1.26.0-0,  1.24.0-0,  1.20.0-0, 

1.36.0-0,  1.34.0-0,  1.32.0-1,  1.30.1-0,  1.30.0-0,  1.28.2-0,  1.26.0-0,  1.24.0-0,  1.20.0-0,  1.18.0-1,  1.18.0-0

Depends

• bioconductor-annotationdbi >=1.50.0,<1.51.0

• bioconductor-annotationfilter >=1.12.0,<1.13.0

• bioconductor-biocgenerics >=0.34.0,<0.35.0

• bioconductor-biostrings >=2.56.0,<2.57.0

• bioconductor-ensembldb >=2.12.0,<2.13.0

• bioconductor-genomeinfodb >=1.24.0,<1.25.0

• bioconductor-genomicalignments >=1.24.0,<1.25.0

• bioconductor-genomicfeatures >=1.40.0,<1.41.0

• bioconductor-genomicranges >=1.40.0,<1.41.0

• bioconductor-iranges >=2.22.0,<2.23.0

• bioconductor-rsamtools >=2.4.0,<2.5.0

• bioconductor-s4vectors >=0.26.0,<0.27.0

• bioconductor-summarizedexperiment >=1.18.0,<1.19.0

• bioconductor-variantannotation >=1.34.0,<1.35.0

• libblas >=3.8.0,<4.0a0

• libgcc-ng >=7.3.0

• liblapack >=3.8.0,<3.9.0a0

• r-base >=4.0,<4.1.0a0

• r-dichromat

• r-hmisc

• r-rcolorbrewer

• r-rlang

• r-scales

Required By

• bioconductor-ggbio

• bioconductor-cafe

• bioconductor-chipexoqual

• bioconductor-pviz

• bioconductor-karyoploter

• bioconductor-qrqc

• bioconductor-rqc

• bioconductor-bubbletree

• bioconductor-gviz

Installation

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

conda install bioconductor-biovizbase

and update with:

conda update bioconductor-biovizbase

or use the docker container:

docker pull quay.io/biocontainers/bioconductor-biovizbase:<tag>

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

Link to this page

Render an badge with the following MarkDown:

[![install with bioconda](https://img.shields.io/badge/install%20with-bioconda-brightgreen.svg?style=flat)](http://bioconda.github.io/recipes/bioconductor-biovizbase/README.html)