recipe bioconductor-plyxp

Data masks for SummarizedExperiment enabling dplyr-like manipulation

Homepage:

https://bioconductor.org/packages/3.20/bioc/html/plyxp.html

License:

MIT + file LICENSE

Recipe:

/bioconductor-plyxp/meta.yaml

The package provides `rlang` data masks for the SummarizedExperiment class. The enables the evaluation of unquoted expression in different contexts of the SummarizedExperiment object with optional access to other contexts. The goal for `plyxp` is for evaluation to feel like a data.frame object without ever needing to unwind to a rectangular data.frame.

package bioconductor-plyxp

versions:

1.0.0-0

depends bioconductor-s4vectors:

>=0.44.0,<0.45.0

depends bioconductor-summarizedexperiment:

>=1.36.0,<1.37.0

depends r-base:

>=4.4,<4.5.0a0

depends r-cli:

depends r-dplyr:

depends r-glue:

depends r-pillar:

depends r-purrr:

depends r-rlang:

depends r-s7:

depends r-tibble:

depends r-tidyr:

depends r-tidyselect:

depends r-vctrs:

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-plyxp

and update with::

   mamba update bioconductor-plyxp

To create a new environment, run:

mamba create --name myenvname bioconductor-plyxp

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-plyxp:<tag>

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

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Link to this page

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