recipe bioconductor-cycle

Significance of periodic expression pattern in time-series data

Homepage:

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

License:

GPL-2

Recipe:

/bioconductor-cycle/meta.yaml

Package for assessing the statistical significance of periodic expression based on Fourier analysis and comparison with data generated by different background models

package bioconductor-cycle

versions:

1.56.0-0,  1.54.0-0,  1.52.0-0,  1.48.0-0,  1.46.0-0,  1.44.0-1,  1.44.0-0,  1.42.0-0,  1.40.0-0, 

1.56.0-0,  1.54.0-0,  1.52.0-0,  1.48.0-0,  1.46.0-0,  1.44.0-1,  1.44.0-0,  1.42.0-0,  1.40.0-0,  1.38.0-1,  1.36.0-0

depends bioconductor-biobase:

>=2.62.0,<2.63.0

depends bioconductor-mfuzz:

>=2.62.0,<2.63.0

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-cycle

and update with::

   mamba update bioconductor-cycle

To create a new environment, run:

mamba create --name myenvname bioconductor-cycle

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-cycle:<tag>

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

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Link to this page

Render an 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-cycle/README.html)