recipe bioconductor-treeandleaf

Displaying binary trees with focus on dendrogram leaves

Homepage:

https://bioconductor.org/packages/3.18/bioc/html/TreeAndLeaf.html

License:

Artistic-2.0

Recipe:

/bioconductor-treeandleaf/meta.yaml

The TreeAndLeaf package combines unrooted and force-directed graph algorithms in order to layout binary trees, aiming to represent multiple layers of information onto dendrogram leaves.

package bioconductor-treeandleaf

(downloads) docker_bioconductor-treeandleaf

versions:

1.14.0-0,  1.12.0-0,  1.10.0-0,  1.6.1-0,  1.4.0-0,  1.2.0-1,  1.2.0-0,  1.0.0-0

depends bioconductor-reder:

>=2.6.0,<2.7.0

depends r-ape:

depends r-base:

>=4.3,<4.4.0a0

depends r-igraph:

requirements:

Installation

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-treeandleaf

and update with::

   mamba update bioconductor-treeandleaf

To create a new environment, run:

mamba create --name myenvname bioconductor-treeandleaf

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 quay.io/biocontainers/bioconductor-treeandleaf:<tag>

(see `bioconductor-treeandleaf/tags`_ for valid values for ``<tag>``)

Download stats

Link to this page

Render an install-with-bioconda badge with the following MarkDown:

[![install with bioconda](https://img.shields.io/badge/install%20with-bioconda-brightgreen.svg?style=flat)](http://bioconda.github.io/recipes/bioconductor-treeandleaf/README.html)