- recipe export2graphlan
Conversion software tool for annotating tree with GraPhlAn
- Homepage:
- License:
MIT / MIT License
- Recipe:
export2graphlan is a conversion software tool for producing both annotation and tree file for GraPhlAn. It automatically generate the input tree and the annotation file for GraPhlAn, starting from the input/output of MetaPhlAn, LEfSe, and HUMAnN. It supports also the biom file format. The annotation file will highlight specific sub-trees/clades automatically inferred from input file(s) provided. The two output file of export2graphlan should then be used with GraPhlAn.
- package export2graphlan¶
- Versions:
0.22-0,0.20-0,0.19-2,0.19-1,0.19-0- Depends:
on hclust2
on matplotlib-base
on numpy
on pandas
on python
2.7.*on scipy
- 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 export2graphlan
to add into an existing workspace instead, run:
pixi add export2graphlan
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 export2graphlan
Alternatively, to install into a new environment, run:
conda create -n envname export2graphlan
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/export2graphlan:<tag>
(see export2graphlan/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:
[](http://bioconda.github.io/recipes/export2graphlan/README.html)
