recipe bioconductor-repitools

Epigenomic tools

Homepage:

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

License:

LGPL (>= 2)

Recipe:

/bioconductor-repitools/meta.yaml

Links:

biotools: repitools

Tools for the analysis of enrichment-based epigenomic data. Features include summarization and visualization of epigenomic data across promoters according to gene expression context, finding regions of differential methylation/binding, BayMeth for quantifying methylation etc.

package bioconductor-repitools

versions:

1.46.0-0,  1.44.0-1,  1.44.0-0,  1.40.0-2,  1.40.0-1,  1.40.0-0,  1.38.0-0,  1.36.0-1,  1.36.0-0, 

1.46.0-0,  1.44.0-1,  1.44.0-0,  1.40.0-2,  1.40.0-1,  1.40.0-0,  1.38.0-0,  1.36.0-1,  1.36.0-0,  1.34.0-0,  1.32.0-0,  1.30.0-1,  1.28.0-0,  1.26.0-0,  1.24.0-0,  1.22.0-0,  1.20.0-0

depends bioconductor-biocgenerics:

>=0.46.0,<0.47.0

depends bioconductor-biostrings:

>=2.68.0,<2.69.0

depends bioconductor-bsgenome:

>=1.68.0,<1.69.0

depends bioconductor-dnacopy:

>=1.74.0,<1.75.0

depends bioconductor-edger:

>=3.42.0,<3.43.0

depends bioconductor-genomeinfodb:

>=1.36.0,<1.37.0

depends bioconductor-genomicalignments:

>=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-ringo:

>=1.64.0,<1.65.0

depends bioconductor-rsamtools:

>=2.16.0,<2.17.0

depends bioconductor-rtracklayer:

>=1.60.0,<1.61.0

depends bioconductor-s4vectors:

>=0.38.0,<0.39.0

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-cluster:

depends r-gplots:

depends r-gsmoothr:

depends r-mass:

depends r-rsolnp:

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-repitools

and update with::

   mamba update bioconductor-repitools

To create a new environment, run:

mamba create --name myenvname bioconductor-repitools

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-repitools:<tag>

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

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