recipe bioconductor-cfassay

Statistical analysis for the Colony Formation Assay

Homepage:

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

License:

LGPL

Recipe:

/bioconductor-cfassay/meta.yaml

Links:

biotools: cfassay, doi: 10.1186/s13014-015-0529-y

The package provides functions for calculation of linear-quadratic cell survival curves and for ANOVA of experimental 2-way designs along with the colony formation assay.

package bioconductor-cfassay

(downloads) docker_bioconductor-cfassay

versions:
1.36.0-01.34.0-01.32.0-01.28.0-01.26.0-01.24.0-11.24.0-01.22.0-01.20.0-0

1.36.0-01.34.0-01.32.0-01.28.0-01.26.0-01.24.0-11.24.0-01.22.0-01.20.0-01.18.0-11.18.0-01.16.1-01.14.0-01.12.0-01.10.0-0

depends r-base:

>=4.3,<4.4.0a0

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-cfassay

and update with::

   mamba update bioconductor-cfassay

To create a new environment, run:

mamba create --name myenvname bioconductor-cfassay

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-cfassay:<tag>

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

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