recipe bioconductor-omixer

Omixer: multivariate and reproducible sample randomization to proactively counter batch effects in omics studies

Homepage:

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

License:

MIT + file LICENSE

Recipe:

/bioconductor-omixer/meta.yaml

Omixer - an Bioconductor package for multivariate and reproducible sample randomization, which ensures optimal sample distribution across batches with well-documented methods. It outputs lab-friendly sample layouts, reducing the risk of sample mixups when manually pipetting randomized samples.

package bioconductor-omixer

(downloads) docker_bioconductor-omixer

versions:

1.16.0-01.12.0-01.10.0-01.8.0-01.4.0-01.2.1-01.0.4-01.0.0-1

depends r-base:

>=4.4,<4.5.0a0

depends r-dplyr:

depends r-forcats:

depends r-ggplot2:

depends r-gridextra:

depends r-magrittr:

depends r-readr:

depends r-stringr:

depends r-tibble:

depends r-tidyselect:

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-omixer

and update with::

   mamba update bioconductor-omixer

To create a new environment, run:

mamba create --name myenvname bioconductor-omixer

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-omixer:<tag>

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

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