recipe r-disprose

Set of tools for molecular probes selection and design of a microarray, e.g. the assessment of physical and chemical properties, blast performance, selection according to sensitivity and selectivity. Methods used in package are described in: Lorenz R., Stephan H.B., Höner zu Siederdissen C. et al. (2011) <doi:10.1186/1748-7188-6-26>; Camacho C., Coulouris G., Avagyan V. et al. (2009) <doi:10.1186/1471-2105-10-421>.

Homepage:

https://CRAN.R-project.org/package=disprose

License:

GPL3 / GPL-3.0-only

Recipe:

/r-disprose/meta.yaml

package r-disprose

(downloads) docker_r-disprose

versions:

0.1.6-30.1.6-20.1.6-10.1.6-0

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 r-disprose

and update with::

   mamba update r-disprose

To create a new environment, run:

mamba create --name myenvname r-disprose

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-disprose:<tag>

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

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