recipe bioconductor-ggmanh

Visualization Tool for GWAS Result

Homepage:

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

License:

MIT + file LICENSE

Recipe:

/bioconductor-ggmanh/meta.yaml

Manhattan plot and QQ Plot are commonly used to visualize the end result of Genome Wide Association Study. The "ggmanh" package aims to keep the generation of these plots simple while maintaining customizability. Main functions include manhattan_plot, qqunif, and thinPoints.

package bioconductor-ggmanh

versions:

1.10.0-0,  1.6.0-0,  1.4.0-0,  1.2.0-0

depends bioconductor-gdsfmt:

>=1.42.0,<1.43.0

depends bioconductor-seqarray:

>=1.46.0,<1.47.0

depends r-base:

>=4.4,<4.5.0a0

depends r-dplyr:

depends r-ggplot2:

depends r-ggrepel:

depends r-magrittr:

depends r-paletteer:

depends r-pals:

depends r-rcolorbrewer:

depends r-rlang:

depends r-scales:

depends r-tidyr:

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-ggmanh

and update with::

   mamba update bioconductor-ggmanh

To create a new environment, run:

mamba create --name myenvname bioconductor-ggmanh

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-ggmanh:<tag>

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

Download stats

Link to this page

Render an badge with the following MarkDown:

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