recipe bioconductor-bsgenome.mmulatta.ucsc.rhemac3

Full genome sequences for Macaca mulatta (UCSC version rheMac3)

Homepage:

https://bioconductor.org/packages/3.18/data/annotation/html/BSgenome.Mmulatta.UCSC.rheMac3.html

License:

Artistic-2.0

Recipe:

/bioconductor-bsgenome.mmulatta.ucsc.rhemac3/meta.yaml

Full genome sequences for Macaca mulatta (Rhesus) as provided by UCSC (rheMac3, Oct. 2010) and stored in Biostrings objects.

package bioconductor-bsgenome.mmulatta.ucsc.rhemac3

(downloads) docker_bioconductor-bsgenome.mmulatta.ucsc.rhemac3

versions:
1.4.0-121.4.0-111.4.0-101.4.0-91.4.0-81.4.0-71.4.0-61.4.0-51.4.0-4

1.4.0-121.4.0-111.4.0-101.4.0-91.4.0-81.4.0-71.4.0-61.4.0-51.4.0-41.4.0-31.4.0-21.4.0-0

depends bioconductor-bsgenome:

>=1.70.0,<1.71.0

depends bioconductor-data-packages:

>=20231203

depends curl:

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-bsgenome.mmulatta.ucsc.rhemac3

and update with::

   mamba update bioconductor-bsgenome.mmulatta.ucsc.rhemac3

To create a new environment, run:

mamba create --name myenvname bioconductor-bsgenome.mmulatta.ucsc.rhemac3

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-bsgenome.mmulatta.ucsc.rhemac3:<tag>

(see `bioconductor-bsgenome.mmulatta.ucsc.rhemac3/tags`_ for valid values for ``<tag>``)

Download stats