recipe bioconductor-gg4way

4way Plots of Differential Expression

Homepage:

https://bioconductor.org/packages/3.18/bioc/html/gg4way.html

License:

MIT + file LICENSE

Recipe:

/bioconductor-gg4way/meta.yaml

4way plots enable a comparison of the logFC values from two contrasts of differential gene expression. The gg4way package creates 4way plots using the ggplot2 framework and supports popular Bioconductor objects. The package also provides information about the correlation between contrasts and significant genes of interest.

package bioconductor-gg4way

(downloads) docker_bioconductor-gg4way

versions:

1.0.0-0

depends bioconductor-deseq2:

>=1.42.0,<1.43.0

depends bioconductor-edger:

>=4.0.0,<4.1.0

depends bioconductor-limma:

>=3.58.0,<3.59.0

depends r-base:

>=4.3,<4.4.0a0

depends r-dplyr:

depends r-ggplot2:

depends r-ggrepel:

depends r-glue:

depends r-janitor:

depends r-magrittr:

depends r-purrr:

depends r-rlang:

depends r-scales:

depends r-stringr:

depends r-tibble:

depends r-tidyr:

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-gg4way

and update with::

   mamba update bioconductor-gg4way

To create a new environment, run:

mamba create --name myenvname bioconductor-gg4way

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-gg4way:<tag>

(see `bioconductor-gg4way/tags`_ for valid values for ``<tag>``)

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