recipe bioconductor-chimeraviz

Visualization tools for gene fusions

Homepage:

https://bioconductor.org/packages/3.20/bioc/html/chimeraviz.html

License:

Artistic-2.0

Recipe:

/bioconductor-chimeraviz/meta.yaml

chimeraviz manages data from fusion gene finders and provides useful visualization tools.

package bioconductor-chimeraviz

versions:

1.32.0-0,  1.28.0-0,  1.26.0-0,  1.24.0-0,  1.20.0-0,  1.18.0-0,  1.16.1-0,  1.16.0-0,  1.14.0-0, 

1.32.0-0,  1.28.0-0,  1.26.0-0,  1.24.0-0,  1.20.0-0,  1.18.0-0,  1.16.1-0,  1.16.0-0,  1.14.0-0,  1.12.0-0,  1.10.0-1,  1.8.0-0,  1.6.2-0,  1.0.4-0

depends bioconductor-annotationdbi:

>=1.68.0,<1.69.0

depends bioconductor-annotationfilter:

>=1.30.0,<1.31.0

depends bioconductor-biocstyle:

>=2.34.0,<2.35.0

depends bioconductor-biostrings:

>=2.74.0,<2.75.0

depends bioconductor-ensembldb:

>=2.30.0,<2.31.0

depends bioconductor-genomeinfodb:

>=1.42.0,<1.43.0

depends bioconductor-genomicalignments:

>=1.42.0,<1.43.0

depends bioconductor-genomicranges:

>=1.58.0,<1.59.0

depends bioconductor-graph:

>=1.84.0,<1.85.0

depends bioconductor-gviz:

>=1.50.0,<1.51.0

depends bioconductor-iranges:

>=2.40.0,<2.41.0

depends bioconductor-org.hs.eg.db:

>=3.20.0,<3.21.0

depends bioconductor-org.mm.eg.db:

>=3.20.0,<3.21.0

depends bioconductor-rgraphviz:

>=2.50.0,<2.51.0

depends bioconductor-rsamtools:

>=2.22.0,<2.23.0

depends bioconductor-s4vectors:

>=0.44.0,<0.45.0

depends bowtie2:

depends r-base:

>=4.4,<4.5.0a0

depends r-checkmate:

depends r-data.table:

depends r-dplyr:

depends r-dt:

depends r-gtools:

depends r-magick:

depends r-plyr:

depends r-rcircos:

depends r-rcolorbrewer:

depends r-rmarkdown:

requirements:

additional platforms:

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-chimeraviz

and update with::

   mamba update bioconductor-chimeraviz

To create a new environment, run:

mamba create --name myenvname bioconductor-chimeraviz

with myenvname being 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-chimeraviz:<tag>

(see `bioconductor-chimeraviz/tags`_ for valid values for ``<tag>``)

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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-chimeraviz/README.html)