recipe bioconductor-clevrvis

Visualization Techniques for Clonal Evolution






clevRvis provides a set of visualization techniques for clonal evolution. These include shark plots, dolphin plots and plaice plots. Algorithms for time point interpolation as well as therapy effect estimation are provided. Phylogeny-aware color coding is implemented. A shiny-app for generating plots interactively is additionally provided.

package bioconductor-clevrvis

(downloads) docker_bioconductor-clevrvis



depends r-base:


depends r-colorspace:

depends r-colourpicker:

depends r-cowplot:

depends r-dplyr:

depends r-dt:

depends r-ggiraph:

depends r-ggnewscale:

depends r-ggplot2:

depends r-ggraph:

depends r-htmlwidgets:

depends r-igraph:

depends r-magrittr:

depends r-patchwork:

depends r-purrr:

depends r-r.utils:

depends r-readr:

depends r-readxl:

depends r-shiny:

depends r-shinycssloaders:

depends r-shinydashboard:

depends r-shinyhelper:

depends r-shinywidgets:

depends r-tibble:



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-clevrvis

and update with::

   mamba update bioconductor-clevrvis

To create a new environment, run:

mamba create --name myenvname bioconductor-clevrvis

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

Download stats