recipe bioconductor-chromvar

Chromatin Variation Across Regions

Homepage:

https://bioconductor.org/packages/3.17/bioc/html/chromVAR.html

License:

MIT + file LICENSE

Recipe:

/bioconductor-chromvar/meta.yaml

Links:

biotools: chromvar

Determine variation in chromatin accessibility across sets of annotations or peaks. Designed primarily for single-cell or sparse chromatin accessibility data, e.g. from scATAC-seq or sparse bulk ATAC or DNAse-seq experiments.

package bioconductor-chromvar

versions:

1.22.1-0,  1.20.0-1,  1.20.0-0,  1.16.0-2,  1.16.0-1,  1.16.0-0,  1.14.0-0,  1.12.0-1,  1.12.0-0, 

1.22.1-0,  1.20.0-1,  1.20.0-0,  1.16.0-2,  1.16.0-1,  1.16.0-0,  1.14.0-0,  1.12.0-1,  1.12.0-0,  1.10.0-0,  1.8.0-0,  1.6.0-1,  1.4.1-0,  1.4.0-1,  1.4.0-0,  1.2.0-0

depends bioconductor-biocgenerics:

>=0.46.0,<0.47.0

depends bioconductor-biocparallel:

>=1.34.0,<1.35.0

depends bioconductor-biostrings:

>=2.68.0,<2.69.0

depends bioconductor-bsgenome:

>=1.68.0,<1.69.0

depends bioconductor-genomeinfodb:

>=1.36.0,<1.37.0

depends bioconductor-genomicranges:

>=1.52.0,<1.53.0

depends bioconductor-iranges:

>=2.34.0,<2.35.0

depends bioconductor-rsamtools:

>=2.16.0,<2.17.0

depends bioconductor-s4vectors:

>=0.38.0,<0.39.0

depends bioconductor-summarizedexperiment:

>=1.30.0,<1.31.0

depends bioconductor-tfbstools:

>=1.38.0,<1.39.0

depends libblas:

>=3.9.0,<4.0a0

depends libgcc-ng:

>=12

depends liblapack:

>=3.9.0,<4.0a0

depends libstdcxx-ng:

>=12

depends r-base:

>=4.3,<4.4.0a0

depends r-dt:

depends r-ggplot2:

depends r-matrix:

depends r-miniui:

depends r-nabor:

depends r-plotly:

depends r-rcolorbrewer:

depends r-rcpp:

depends r-rcpparmadillo:

depends r-rtsne:

depends r-shiny:

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-chromvar

and update with::

   mamba update bioconductor-chromvar

To create a new environment, run:

mamba create --name myenvname bioconductor-chromvar

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-chromvar:<tag>

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

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