recipe bioconductor-benchmarkfdrdata2019

Data and Benchmarking Results from Korthauer and Kimes et al. (2019)

Homepage:

https://bioconductor.org/packages/3.18/data/experiment/html/benchmarkfdrData2019.html

License:

MIT + file LICENSE

Recipe:

/bioconductor-benchmarkfdrdata2019/meta.yaml

Benchmarking results for experimental and simulated data sets used in Korthauer and Kimes et al. (2019) to compare methods for controlling the false discovery rate.

package bioconductor-benchmarkfdrdata2019

(downloads) docker_bioconductor-benchmarkfdrdata2019

versions:
1.16.0-01.14.0-01.12.0-01.8.0-11.8.0-01.6.0-01.4.0-11.4.0-01.2.0-0

1.16.0-01.14.0-01.12.0-01.8.0-11.8.0-01.6.0-01.4.0-11.4.0-01.2.0-01.0.0-0

depends bioconductor-data-packages:

>=20231203

depends bioconductor-experimenthub:

>=2.10.0,<2.11.0

depends bioconductor-summarizedexperiment:

>=1.32.0,<1.33.0

depends curl:

depends r-base:

>=4.3,<4.4.0a0

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-benchmarkfdrdata2019

and update with::

   mamba update bioconductor-benchmarkfdrdata2019

To create a new environment, run:

mamba create --name myenvname bioconductor-benchmarkfdrdata2019

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-benchmarkfdrdata2019:<tag>

(see `bioconductor-benchmarkfdrdata2019/tags`_ for valid values for ``<tag>``)

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