recipe bioconductor-calm

Covariate Assisted Large-scale Multiple testing



GPL (>=2)



Statistical methods for multiple testing with covariate information. Traditional multiple testing methods only consider a list of test statistics, such as p-values. Our methods incorporate the auxiliary information, such as the lengths of gene coding regions or the minor allele frequencies of SNPs, to improve power.

package bioconductor-calm

(downloads) docker_bioconductor-calm



depends r-base:


depends r-mgcv:



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-calm

and update with::

   mamba update bioconductor-calm

To create a new environment, run:

mamba create --name myenvname bioconductor-calm

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<tag>

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

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