- recipe bioconductor-biovizbase
Basic graphic utilities for visualization of genomic data.
- Homepage:
https://bioconductor.org/packages/3.18/bioc/html/biovizBase.html
- License:
Artistic-2.0
- Recipe:
- 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:
1.50.0-1,1.50.0-0,1.48.0-0,1.46.0-1,1.46.0-0,1.42.0-2,1.42.0-1,1.42.0-0,1.40.0-0,1.50.0-1,1.50.0-0,1.48.0-0,1.46.0-1,1.46.0-0,1.42.0-2,1.42.0-1,1.42.0-0,1.40.0-0,1.38.0-1,1.38.0-0,1.36.0-0,1.34.0-0,1.32.0-1,1.30.1-0,1.30.0-0,1.28.2-0,1.26.0-0,1.24.0-0,1.20.0-0,1.18.0-1,1.18.0-0- depends bioconductor-annotationdbi:
>=1.64.0,<1.65.0- depends bioconductor-annotationdbi:
>=1.64.1,<1.65.0a0- depends bioconductor-annotationfilter:
>=1.26.0,<1.27.0- depends bioconductor-annotationfilter:
>=1.26.0,<1.27.0a0- depends bioconductor-biocgenerics:
>=0.48.0,<0.49.0- depends bioconductor-biocgenerics:
>=0.48.1,<0.49.0a0- depends bioconductor-biostrings:
>=2.70.0,<2.71.0- depends bioconductor-biostrings:
>=2.70.1,<2.71.0a0- depends bioconductor-ensembldb:
>=2.26.0,<2.27.0- depends bioconductor-ensembldb:
>=2.26.0,<2.27.0a0- depends bioconductor-genomeinfodb:
>=1.38.0,<1.39.0- depends bioconductor-genomeinfodb:
>=1.38.1,<1.39.0a0- depends bioconductor-genomicalignments:
>=1.38.0,<1.39.0- depends bioconductor-genomicalignments:
>=1.38.0,<1.39.0a0- depends bioconductor-genomicfeatures:
>=1.54.0,<1.55.0- depends bioconductor-genomicfeatures:
>=1.54.1,<1.55.0a0- depends bioconductor-genomicranges:
>=1.54.0,<1.55.0- depends bioconductor-genomicranges:
>=1.54.1,<1.55.0a0- depends bioconductor-iranges:
>=2.36.0,<2.37.0- depends bioconductor-iranges:
>=2.36.0,<2.37.0a0- depends bioconductor-rsamtools:
>=2.18.0,<2.19.0- depends bioconductor-rsamtools:
>=2.18.0,<2.19.0a0- depends bioconductor-s4vectors:
>=0.40.0,<0.41.0- depends bioconductor-s4vectors:
>=0.40.2,<0.41.0a0- depends bioconductor-summarizedexperiment:
>=1.32.0,<1.33.0- depends bioconductor-summarizedexperiment:
>=1.32.0,<1.33.0a0- depends bioconductor-variantannotation:
>=1.48.0,<1.49.0- depends bioconductor-variantannotation:
>=1.48.1,<1.49.0a0- depends libblas:
>=3.9.0,<4.0a0- depends libgcc-ng:
>=12- depends liblapack:
>=3.9.0,<4.0a0- depends r-base:
>=4.3,<4.4.0a0- depends r-dichromat:
- depends r-hmisc:
- depends r-rcolorbrewer:
- depends r-rlang:
- depends r-scales:
- requirements:
- additional platforms:
linux-aarch64
Installation
You need a conda-compatible package manager (currently either micromamba, mamba, or conda) and the Bioconda channel already activated (see set-up-channels).
While any of above package managers is fine, it is currently recommended to use either micromamba or mamba (see here for installation instructions). We will show all commands using mamba below, but the arguments are the same for the two others.
Given that you already have a conda environment in which you want to have this package, install with:
mamba install bioconductor-biovizbase and update with:: mamba update bioconductor-biovizbase
To create a new environment, run:
mamba create --name myenvname bioconductor-biovizbase
with
myenvnamebeing a reasonable name for the environment (see e.g. the mamba docs for details and further options).Alternatively, use the docker container:
docker pull quay.io/biocontainers/bioconductor-biovizbase:<tag> (see `bioconductor-biovizbase/tags`_ for valid values for ``<tag>``)
Download stats¶
Link to this page¶
Render an 
badge with the following MarkDown:
[](http://bioconda.github.io/recipes/bioconductor-biovizbase/README.html)
