recipe bioconductor-timecourse

Statistical Analysis for Developmental Microarray Time Course Data

Homepage:

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

License:

LGPL

Recipe:

/bioconductor-timecourse/meta.yaml

Links:

biotools: timecourse, doi: 10.1038/nmeth.3252

Functions for data analysis and graphical displays for developmental microarray time course data.

package bioconductor-timecourse

(downloads) docker_bioconductor-timecourse

versions:
1.78.0-01.74.0-01.72.0-01.70.0-01.66.0-01.64.0-01.62.0-11.62.0-01.60.0-0

1.78.0-01.74.0-01.72.0-01.70.0-01.66.0-01.64.0-01.62.0-11.62.0-01.60.0-01.58.0-01.56.0-11.54.0-01.52.0-01.50.0-01.48.0-0

depends bioconductor-biobase:

>=2.66.0,<2.67.0

depends bioconductor-limma:

>=3.62.0,<3.63.0

depends bioconductor-marray:

>=1.84.0,<1.85.0

depends r-base:

>=4.4,<4.5.0a0

depends r-mass:

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 bioconductor-timecourse

and update with::

   mamba update bioconductor-timecourse

To create a new environment, run:

mamba create --name myenvname bioconductor-timecourse

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-timecourse:<tag>

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

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