- recipe whatsgnu-atb
WhatsGNU protein allele frequency analysis for AllTheBacteria (2.4M+ genomes)
- Homepage:
- Documentation:
https://allthebacteria.readthedocs.io/en/latest/whatsgnu.html
- License:
GPL / GPL-3.0-only
- Recipe:
A custom reimplementation of WhatsGNU optimised for AllTheBacteria scale. Builds an LMDB-backed sharded database of protein allele frequencies across 2,438,285 bacterial genomes, and provides fast querying of any bacterial genome to obtain per-protein allele counts and species distributions. Includes a downloader for the pre-built database hosted on OSF.
- package whatsgnu-atb¶
-
- Versions:
1.0.0-0- Depends:
on adjusttext
>=1.0on matplotlib-base
>=3.8on networkx
>=3.2on numpy
>=2.0on pandas
>=2.0on python
>=3.10on python-lmdb
>=1.4on scipy
>=1.12on seaborn-base
>=0.13
- 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 whatsgnu-atb
to add into an existing workspace instead, run:
pixi add whatsgnu-atb
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 whatsgnu-atb
Alternatively, to install into a new environment, run:
conda create -n envname whatsgnu-atb
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/whatsgnu-atb:<tag>
(see whatsgnu-atb/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/whatsgnu-atb/README.html)