recipe bioconductor-chromplot

Global visualization tool of genomic data

Homepage:

https://bioconductor.org/packages/3.18/bioc/html/chromPlot.html

License:

GPL (>= 2)

Recipe:

/bioconductor-chromplot/meta.yaml

Links:

biotools: chromplot, doi: 10.1093/bioinformatics/btw137

Package designed to visualize genomic data along the chromosomes, where the vertical chromosomes are sorted by number, with sex chromosomes at the end.

package bioconductor-chromplot

(downloads) docker_bioconductor-chromplot

versions:
1.30.0-01.28.0-01.26.0-01.22.0-01.20.0-01.18.0-11.18.0-01.16.0-01.14.0-0

1.30.0-01.28.0-01.26.0-01.22.0-01.20.0-01.18.0-11.18.0-01.16.0-01.14.0-01.12.0-11.10.0-01.8.0-01.6.0-01.4.0-0

depends bioconductor-biomart:

>=2.58.0,<2.59.0

depends bioconductor-genomicranges:

>=1.54.0,<1.55.0

depends r-base:

>=4.3,<4.4.0a0

requirements:

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-chromplot

and update with::

   mamba update bioconductor-chromplot

To create a new environment, run:

mamba create --name myenvname bioconductor-chromplot

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-chromplot:<tag>

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

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