- recipe bioconductor-globalseq
Global Test for Counts
- Homepage:
https://bioconductor.org/packages/3.18/bioc/html/globalSeq.html
- License:
GPL-3
- Recipe:
- 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¶
- versions:
1.34.0-0
,1.30.0-0
,1.28.0-0
,1.26.0-0
,1.22.0-0
,1.20.0-0
,1.18.0-1
,1.18.0-0
,1.16.0-0
,1.34.0-0
,1.30.0-0
,1.28.0-0
,1.26.0-0
,1.22.0-0
,1.20.0-0
,1.18.0-1
,1.18.0-0
,1.16.0-0
,1.14.0-0
,1.12.0-1
,1.12.0-0
,1.10.1-0
,1.8.0-0
,1.6.0-0
,1.4.2-0
- 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>``)
Download stats¶
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-globalseq/README.html)