recipe bioconductor-globalseq

Global Test for Counts

Homepage:

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

License:

GPL-3

Recipe:

/bioconductor-globalseq/meta.yaml

Links:

biotools: globalseq

The method may be conceptualised as a test of overall significance in regression analysis, where the response variable is overdispersed and the number of explanatory variables exceeds the sample size. Useful for testing for association between RNA-Seq and high-dimensional data.

package bioconductor-globalseq

(downloads) docker_bioconductor-globalseq

versions:
1.34.0-01.30.0-01.28.0-01.26.0-01.22.0-01.20.0-01.18.0-11.18.0-01.16.0-0

1.34.0-01.30.0-01.28.0-01.26.0-01.22.0-01.20.0-01.18.0-11.18.0-01.16.0-01.14.0-01.12.0-11.12.0-01.10.1-01.8.0-01.6.0-01.4.2-0

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 bioconductor-globalseq

and update with::

   mamba update bioconductor-globalseq

To create a new environment, run:

mamba create --name myenvname bioconductor-globalseq

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-globalseq:<tag>

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

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