recipe bioconductor-coverageview

Coverage visualization package for R

Homepage:

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

License:

Artistic-2.0

Recipe:

/bioconductor-coverageview/meta.yaml

This package provides a framework for the visualization of genome coverage profiles. It can be used for ChIP-seq experiments, but it can be also used for genome-wide nucleosome positioning experiments or other experiment types where it is important to have a framework in order to inspect how the coverage distributed across the genome

package bioconductor-coverageview

versions:

1.40.0-0,  1.38.0-0,  1.36.0-0,  1.32.0-0,  1.30.0-0,  1.28.0-1,  1.28.0-0,  1.26.0-0,  1.24.0-0, 

1.40.0-0,  1.38.0-0,  1.36.0-0,  1.32.0-0,  1.30.0-0,  1.28.0-1,  1.28.0-0,  1.26.0-0,  1.24.0-0,  1.22.0-1,  1.20.0-0

depends bioconductor-genomicalignments:

>=1.38.0,<1.39.0

depends bioconductor-genomicranges:

>=1.54.0,<1.55.0

depends bioconductor-iranges:

>=2.36.0,<2.37.0

depends bioconductor-rsamtools:

>=2.18.0,<2.19.0

depends bioconductor-rtracklayer:

>=1.62.0,<1.63.0

depends bioconductor-s4vectors:

>=0.40.0,<0.41.0

depends r-base:

>=4.3,<4.4.0a0

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-coverageview

and update with::

   mamba update bioconductor-coverageview

To create a new environment, run:

mamba create --name myenvname bioconductor-coverageview

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-coverageview:<tag>

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

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Link to this page

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