recipe bioconductor-smad

Statistical Modelling of AP-MS Data (SMAD)

Homepage:

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

License:

MIT + file LICENSE

Recipe:

/bioconductor-smad/meta.yaml

Assigning probability scores to protein interactions captured in affinity purification mass spectrometry (AP-MS) expriments to infer protein-protein interactions. The output would facilitate non-specific background removal as contaminants are commonly found in AP-MS data.

package bioconductor-smad

(downloads) docker_bioconductor-smad

versions:
1.18.0-11.18.0-01.16.0-01.14.0-11.14.0-01.10.0-21.10.0-11.10.0-01.8.0-0

1.18.0-11.18.0-01.16.0-01.14.0-11.14.0-01.10.0-21.10.0-11.10.0-01.8.0-01.6.0-11.6.0-01.4.0-01.2.0-01.0.1-0

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-dplyr:

depends r-magrittr:

>=1.5

depends r-rcpp:

>=1.0.0

depends r-rcppalgos:

depends r-tidyr:

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-smad

and update with::

   mamba update bioconductor-smad

To create a new environment, run:

mamba create --name myenvname bioconductor-smad

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-smad:<tag>

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

Download stats