Package Recipe 'bioconductor-treeio'

recipe bioconductor-treeio

Base Classes and Functions for Phylogenetic Tree Input and Output

Homepage:: https://bioconductor.org/packages/3.20/bioc/html/treeio.html
License:: Artistic-2.0
Recipe:: /bioconductor-treeio/meta.yaml

'treeio' is an R package to make it easier to import and store phylogenetic tree with associated data; and to link external data from different sources to phylogeny. It also supports exporting phylogenetic tree with heterogeneous associated data to a single tree file and can be served as a platform for merging tree with associated data and converting file formats.

package bioconductor-treeio¶

Versions:

1.34.0-0, 1.30.0-0, 1.26.0-1, 1.26.0-0, 1.24.1-0, 1.22.0-0, 1.18.0-0, 1.16.1-0, 1.14.3-0,

1.34.0-0, 1.30.0-0, 1.26.0-1, 1.26.0-0, 1.24.1-0, 1.22.0-0, 1.18.0-0, 1.16.1-0, 1.14.3-0, 1.14.0-0, 1.12.0-0, 1.10.0-0, 1.8.1-0, 1.8.0-0, 1.6.2-0, 1.6.1-0, 1.4.3-0, 1.2.1-0, 1.2.0-0, 1.0.2-0

Depends:

on r-ape
on r-base >=4.5,<4.6.0a0
on r-dplyr
on r-jsonlite
on r-magrittr
on r-rlang
on r-tibble
on r-tidytree >=0.4.5
on r-yulab.utils >=0.1.6

Additional platforms:

Installation¶

You need a conda-compatible package manager (currently either pixi, conda, or micromamba) and the Bioconda channel already activated (see Usage). Below, we show how to install with either pixi or conda (for micromamba and mamba, commands are essentially the same as with conda).

Pixi¶

With pixi installed and the Bioconda channel set up (see Usage), to install globally, run:

pixi global install bioconductor-treeio

to add into an existing workspace instead, run:

pixi add bioconductor-treeio

In the latter case, make sure to first add bioconda and conda-forge to the channels considered by the workspace:

pixi workspace channel add conda-forge
pixi workspace channel add bioconda

Conda¶

With conda installed and the Bioconda channel set up (see Usage), to install into an existing and activated environment, run:

conda install bioconductor-treeio

Alternatively, to install into a new environment, run:

conda create -n envname bioconductor-treeio

with envname being the name of the desired environment.

Container¶

Alternatively, every Bioconda package is available as a container image for usage with your preferred container runtime. For e.g. docker, run:

docker pull quay.io/biocontainers/bioconductor-treeio:<tag>

(see bioconductor-treeio/tags for valid values for <tag>).

Integrated deployment¶

Finally, note that many scientific workflow management systems directly integrate both conda and container based software deployment. Thus, workflow steps can be often directly annotated to use the package, leading to automatic deployment by the respective workflow management system, thereby improving reproducibility and transparency. Check the documentation of your workflow management system to find out about the integration.

Download stats¶

Link to this page¶

Render an 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-treeio/README.html)