recipe bioconductor-rsweep

Functions to creation of low dimensional comparative matrices of Amino Acid Sequence occurrences

Homepage:

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

License:

GPL-3

Recipe:

/bioconductor-rsweep/meta.yaml

The SWeeP method was developed to favor the analizes between amino acids sequences and to assist alignment free phylogenetic studies. This method is based on the concept of sparse words, which is applied in the scan of biological sequences and its the conversion in a matrix of ocurrences. Aiming the generation of low dimensional matrices of Amino Acid Sequence occurrences.

package bioconductor-rsweep

(downloads) docker_bioconductor-rsweep

versions:

1.14.0-0,  1.12.0-0,  1.10.0-0,  1.6.0-0,  1.4.0-0,  1.2.0-1,  1.2.0-0,  1.0.0-0

depends r-base:

>=4.3,<4.4.0a0

depends r-pracma:

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-rsweep

and update with::

   mamba update bioconductor-rsweep

To create a new environment, run:

mamba create --name myenvname bioconductor-rsweep

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-rsweep:<tag>

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

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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-rsweep/README.html)