recipe bioconductor-phenotest

Tools to test association between gene expression and phenotype in a way that is efficient, structured, fast and scalable. We also provide tools to do GSEA (Gene set enrichment analysis) and copy number variation.

Homepage:

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

License:

GPL (>=2)

Recipe:

/bioconductor-phenotest/meta.yaml

Tools to test correlation between gene expression and phenotype in a way that is efficient, structured, fast and scalable. GSEA is also provided.

package bioconductor-phenotest

versions:

1.50.0-0,  1.48.0-0,  1.46.0-0,  1.42.0-0,  1.40.0-0,  1.38.0-1,  1.38.0-0,  1.36.0-0,  1.34.0-0, 

1.50.0-0,  1.48.0-0,  1.46.0-0,  1.42.0-0,  1.40.0-0,  1.38.0-1,  1.38.0-0,  1.36.0-0,  1.34.0-0,  1.32.0-1,  1.30.0-0

depends bioconductor-annotate:

>=1.80.0,<1.81.0

depends bioconductor-annotationdbi:

>=1.64.0,<1.65.0

depends bioconductor-biobase:

>=2.62.0,<2.63.0

depends bioconductor-biomart:

>=2.58.0,<2.59.0

depends bioconductor-category:

>=2.68.0,<2.69.0

depends bioconductor-genefilter:

>=1.84.0,<1.85.0

depends bioconductor-gseabase:

>=1.64.0,<1.65.0

depends bioconductor-heatplus:

>=3.10.0,<3.11.0

depends bioconductor-hgu133a.db:

>=3.13.0,<3.14.0

depends bioconductor-hopach:

>=2.62.0,<2.63.0

depends bioconductor-limma:

>=3.58.0,<3.59.0

depends r-base:

>=4.3,<4.4.0a0

depends r-bma:

depends r-ellipse:

depends r-ggplot2:

depends r-gplots:

depends r-hmisc:

depends r-mgcv:

depends r-survival:

depends r-xtable:

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-phenotest

and update with::

   mamba update bioconductor-phenotest

To create a new environment, run:

mamba create --name myenvname bioconductor-phenotest

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-phenotest:<tag>

(see `bioconductor-phenotest/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-phenotest/README.html)