recipe bioconductor-les

Identifying Differential Effects in Tiling Microarray Data







biotools: les, doi: 10.1089/cmb.2008.0226

The 'les' package estimates Loci of Enhanced Significance (LES) in tiling microarray data. These are regions of regulation such as found in differential transcription, CHiP-chip, or DNA modification analysis. The package provides a universal framework suitable for identifying differential effects in tiling microarray data sets, and is independent of the underlying statistics at the level of single probes.

package bioconductor-les

(downloads) docker_bioconductor-les



depends r-base:


depends r-boot:

depends r-fdrtool:

depends r-gplots:

depends r-rcolorbrewer:



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-les

and update with::

   mamba update bioconductor-les

To create a new environment, run:

mamba create --name myenvname bioconductor-les

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

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