recipe bioconductor-levi

Landscape Expression Visualization Interface



GPL (>= 2)



The tool integrates data from biological networks with transcriptomes, displaying a heatmap with surface curves to evidence the altered regions.

package bioconductor-levi

(downloads) docker_bioconductor-levi



depends libblas:


depends libgcc-ng:


depends liblapack:


depends libstdcxx-ng:


depends r-base:


depends r-colorspace:


depends r-dplyr:


depends r-dt:


depends r-ggplot2:


depends r-httr:


depends r-igraph:


depends r-knitr:

depends r-rcolorbrewer:


depends r-rcpp:


depends r-reshape2:


depends r-rmarkdown:

depends r-shiny:


depends r-shinydashboard:


depends r-shinyjs:


depends r-testthat:

depends r-xml2:




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-levi

and update with::

   mamba update bioconductor-levi

To create a new environment, run:

mamba create --name myenvname bioconductor-levi

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

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