recipe bioconductor-transview

Read density map construction and accession. Visualization of ChIPSeq and RNASeq data sets







biotools: transview, doi: 10.1038/nmeth.3252

This package provides efficient tools to generate, access and display read densities of sequencing based data sets such as from RNA-Seq and ChIP-Seq.

package bioconductor-transview

(downloads) docker_bioconductor-transview



depends bioconductor-biocgenerics:


depends bioconductor-genomicranges:


depends bioconductor-iranges:


depends bioconductor-rhtslib:


depends bioconductor-s4vectors:


depends bioconductor-zlibbioc:


depends libblas:


depends libgcc-ng:


depends liblapack:


depends r-base:


depends r-gplots:



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-transview

and update with::

   mamba update bioconductor-transview

To create a new environment, run:

mamba create --name myenvname bioconductor-transview

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

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