recipe r-umi4c

Process UMI-4C data from scratch to produce nice plots.

Homepage:

https://tanaylab.github.io/umi4cpackage

License:

GPL

Recipe:

/r-umi4c/meta.yaml

package r-umi4c

(downloads) docker_r-umi4c

versions:
0.0.1-3,  0.0.1-2,  0.0.1-1,  0.0.1-0,  0.0.0.9000-5,  0.0.0.9000-4,  0.0.0.9000-3,  0.0.0.9000-2,  0.0.0.9000-1, 

0.0.1-3,  0.0.1-2,  0.0.1-1,  0.0.1-0,  0.0.0.9000-5,  0.0.0.9000-4,  0.0.0.9000-3,  0.0.0.9000-2,  0.0.0.9000-1,  0.0.0.9000-0

depends r-base:

>=4.4,<4.5.0a0

depends r-misha:

depends r-zoo:

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 r-umi4c

and update with::

   mamba update r-umi4c

To create a new environment, run:

mamba create --name myenvname r-umi4c

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/r-umi4c:<tag>

(see `r-umi4c/tags`_ for valid values for ``<tag>``)

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Link to this page

Render an install-with-bioconda badge with the following MarkDown:

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