recipe bioconductor-pmm

Parallel Mixed Model

Homepage:

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

License:

GPL-3

Recipe:

/bioconductor-pmm/meta.yaml

Links:

biotools: pmm, doi: 10.3929/ethz-a-010607487

The Parallel Mixed Model (PMM) approach is suitable for hit selection and cross-comparison of RNAi screens generated in experiments that are performed in parallel under several conditions. For example, we could think of the measurements or readouts from cells under RNAi knock-down, which are infected with several pathogens or which are grown from different cell lines.

package bioconductor-pmm

(downloads) docker_bioconductor-pmm

versions:
1.38.0-01.34.0-01.32.0-01.30.0-01.26.0-01.24.0-01.22.0-11.22.0-01.20.0-0

1.38.0-01.34.0-01.32.0-01.30.0-01.26.0-01.24.0-01.22.0-11.22.0-01.20.0-01.18.0-01.16.0-11.16.0-01.14.0-01.12.0-01.10.0-0

depends r-base:

>=4.4,<4.5.0a0

depends r-lme4:

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-pmm

and update with::

   mamba update bioconductor-pmm

To create a new environment, run:

mamba create --name myenvname bioconductor-pmm

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-pmm:<tag>

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

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