recipe r-presto

Scalable implementation of the Wilcoxon rank sum test and auROC statistic. Interfaces to dense and sparse matrices, as well as genomics analysis frameworks Seurat and SingleCellExperiment.

Homepage:

https://github.com/immunogenomics/presto

Documentation:

https://immunogenomics.github.io/presto/

License:

GPL3 / GPL-3.0-only

Recipe:

/r-presto/meta.yaml

package r-presto

versions:

1.0.0-2,  1.0.0-1,  1.0.0-0

depends libgcc:

>=13

depends libstdcxx:

>=13

depends r-base:

>=4.1,<4.2.0a0

depends r-data.table:

depends r-dplyr:

depends r-matrix:

depends r-purrr:

depends r-rcpp:

depends r-rcpparmadillo:

depends r-rlang:

depends r-tibble:

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 r-presto

and update with::

   mamba update r-presto

To create a new environment, run:

mamba create --name myenvname r-presto

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/r-presto:<tag>

(see `r-presto/tags`_ for valid values for ``<tag>``)

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