recipe bioconductor-rain

Rhythmicity Analysis Incorporating Non-parametric Methods

Homepage:

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

License:

GPL-2

Recipe:

/bioconductor-rain/meta.yaml

Links:

biotools: rain

This package uses non-parametric methods to detect rhythms in time series. It deals with outliers, missing values and is optimized for time series comprising 10-100 measurements. As it does not assume expect any distinct waveform it is optimal or detecting oscillating behavior (e.g. circadian or cell cycle) in e.g. genome- or proteome-wide biological measurements such as: micro arrays, proteome mass spectrometry, or metabolome measurements.

package bioconductor-rain

(downloads) docker_bioconductor-rain

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

1.36.0-01.34.0-01.32.0-01.28.0-01.26.0-01.24.0-11.24.0-01.22.0-01.20.0-01.18.0-11.16.0-01.14.0-01.12.0-01.10.0-0

depends bioconductor-multtest:

>=2.58.0,<2.59.0

depends r-base:

>=4.3,<4.4.0a0

depends r-gmp:

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-rain

and update with::

   mamba update bioconductor-rain

To create a new environment, run:

mamba create --name myenvname bioconductor-rain

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-rain:<tag>

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

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