- recipe kb-python
A wrapper for the kallisto | bustools workflow for single-cell RNA-seq pre-processing.
- Homepage:
- Documentation:
- License:
BSD / BSD-2-Clause
- Recipe:
- Links:
- package kb-python¶
-
- Versions:
0.30.1-0,0.30.0-0,0.29.5-0,0.29.4-1,0.29.4-0,0.29.3-0,0.29.1-0,0.28.2-2,0.28.2-1,0.30.1-0,0.30.0-0,0.29.5-0,0.29.4-1,0.29.4-0,0.29.3-0,0.29.1-0,0.28.2-2,0.28.2-1,0.28.2-0,0.28.1-0,0.28.0-0,0.27.3-1,0.27.3-0,0.27.2-0,0.27.1-0,0.27.0-0,0.26.4-0,0.26.3-0,0.26.2-0,0.26.1-0,0.26.0-0,0.25.1-0,0.25.0-0,0.24.4-0- Depends:
on anndata
>=0.9.2on biopython
>=1.8on h5py
>=2.10.0on jinja2
>2.10.1on loompy
>=3.0.6on nbconvert
>=5.6.0on nbformat
>=4.4.0on ngs-tools
>=1.8.6on numpy
>=1.17.2on pandas
>=1.5.3on plotly
>=4.5.0on python
>=3.8on requests
>=2.22.0on scanpy
>=1.4.4.post1on scikit-learn
>=0.21.3on tqdm
>=4.39.0on typing-extensions
>=3.7.4
- 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 kb-python
to add into an existing workspace instead, run:
pixi add kb-python
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 kb-python
Alternatively, to install into a new environment, run:
conda create -n envname kb-python
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/kb-python:<tag>
(see kb-python/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/kb-python/README.html)