recipe bioconductor-methylaid

Visual and interactive quality control of large Illumina DNA Methylation array data sets



GPL (>= 2)



A visual and interactive web application using RStudio's shiny package. Bad quality samples are detected using sample-dependent and sample-independent controls present on the array and user adjustable thresholds. In depth exploration of bad quality samples can be performed using several interactive diagnostic plots of the quality control probes present on the array. Furthermore, the impact of any batch effect provided by the user can be explored.

package bioconductor-methylaid

(downloads) docker_bioconductor-methylaid



depends bioconductor-biobase:


depends bioconductor-biocgenerics:


depends bioconductor-biocparallel:


depends bioconductor-minfi:


depends bioconductor-summarizedexperiment:


depends r-base:


depends r-ggplot2:

depends r-gridbase:

depends r-hexbin:

depends r-matrixstats:

depends r-rcolorbrewer:

depends r-shiny:



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-methylaid

and update with::

   mamba update bioconductor-methylaid

To create a new environment, run:

mamba create --name myenvname bioconductor-methylaid

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-methylaid/tags`_ for valid values for ``<tag>``)

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