- recipe phabox
Virus identification and analysis tool set
- Homepage:
- Documentation:
- License:
OTHER / GPL-3.0
- Recipe:
- Links:
doi: 10.1093/bioadv/vbad101, biotools: phabox
- package phabox¶
-
- Versions:
2.1.13-1,2.1.13-0,2.1.12-0,2.1.11-3,2.1.11-2,2.1.11-1,2.1.11-0,2.1.10-0,2.1.9-0,2.1.13-1,2.1.13-0,2.1.12-0,2.1.11-3,2.1.11-2,2.1.11-1,2.1.11-0,2.1.10-0,2.1.9-0,2.1.8-0,2.1.7-0,2.1.6-0,2.1.5-0,2.1.4-0,2.1.0-0,2.0.0-0- Depends:
on accelerate
>=1.0.1on aragorn
>=1.2.41on biopython
>=1.84on blast
>=2.16.0on datasets
>=3on diamond
0.9.14.*on fasttree
>=2.1.11on joblib
1.5.1.*on kcounter
>=0.1.1on mafft
>=7.525on mcl
>=22.282on networkx
>=3.4on numpy
>=1.26on pandas
>=2on prodigal-gv
>=2.11.0on pyarrow
16.*on python
>=3.8on pytorch
>=2.4on scikit-learn
1.3.2.*on scipy
>=1.14on seaborn-base
>=0.13.2on transformers
4.43.*
- 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 phabox
to add into an existing workspace instead, run:
pixi add phabox
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 phabox
Alternatively, to install into a new environment, run:
conda create -n envname phabox
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/phabox:<tag>
(see phabox/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/phabox/README.html)