recipe bioconductor-wgsmapp

Mappability tracks of Whole-genome Sequencing from the ENCODE Project






This package provides whole-genome mappability tracks on human hg19/hg38 assembly. We employed the 100-mers mappability track from the ENCODE Project and computed weighted average of the mappability scores if multiple ENCODE regions overlap with the same bin. “Blacklist” bins, including segmental duplication regions and gaps in reference assembly from telomere, centromere, and/or heterochromatin regions are included. The dataset consists of three assembled .bam files of single-cell whole genome sequencing from 10X for illustration purposes.

package bioconductor-wgsmapp

(downloads) docker_bioconductor-wgsmapp



depends bioconductor-data-packages:


depends bioconductor-genomicranges:


depends curl:

depends r-base:




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-wgsmapp

and update with::

   mamba update bioconductor-wgsmapp

To create a new environment, run:

mamba create --name myenvname bioconductor-wgsmapp

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

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