recipe bioconductor-procoil

Prediction of Oligomerization of Coiled Coil Proteins

Homepage:

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

License:

GPL (>= 2)

Recipe:

/bioconductor-procoil/meta.yaml

Links:

biotools: procoil

The package allows for predicting whether a coiled coil sequence (amino acid sequence plus heptad register) is more likely to form a dimer or more likely to form a trimer. Additionally to the prediction itself, a prediction profile is computed which allows for determining the strengths to which the individual residues are indicative for either class. Prediction profiles can also be visualized as curves or heatmaps.

package bioconductor-procoil

(downloads) docker_bioconductor-procoil

versions:
2.34.0-0,  2.30.0-0,  2.28.0-0,  2.26.0-0,  2.22.0-0,  2.20.0-0,  2.18.0-1,  2.18.0-0,  2.16.0-0, 

2.34.0-0,  2.30.0-0,  2.28.0-0,  2.26.0-0,  2.22.0-0,  2.20.0-0,  2.18.0-1,  2.18.0-0,  2.16.0-0,  2.14.0-0,  2.12.0-1,  2.10.0-0,  2.8.0-0,  2.6.0-0

depends bioconductor-biostrings:

>=2.74.0,<2.75.0

depends bioconductor-kebabs:

>=1.40.0,<1.41.0

depends bioconductor-s4vectors:

>=0.44.0,<0.45.0

depends r-base:

>=4.4,<4.5.0a0

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-procoil

and update with::

   mamba update bioconductor-procoil

To create a new environment, run:

mamba create --name myenvname bioconductor-procoil

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-procoil:<tag>

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

Download stats

Link to this page

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

[![install with bioconda](https://img.shields.io/badge/install%20with-bioconda-brightgreen.svg?style=flat)](http://bioconda.github.io/recipes/bioconductor-procoil/README.html)