- recipe pytximport
pytximport - gene count estimation from transcript-level quantification
- Homepage:
- Documentation:
- Developer docs:
- License:
GPL / GPL-3.0-only
- Recipe:
pytximport is a Python port of tximport that allows users to import transcript counts from tools such as kallisto and Salmon, correct them for differential isoform usage, and summarize them at the gene level.
- package pytximport¶
-
- Versions:
0.13.0-0,0.12.0-0,0.11.0-0,0.10.0-0,0.9.0-0,0.8.0-0,0.7.0-0,0.6.0-0- Depends:
on anndata
>=0.11.0on click
>=8.0.0,<9on click-default-group
>=1.2.0,<2on flox
>=0.10.0,<0.11.0on h5py
>=3.0.0,<4on numpy
>=2.0.0,<3on pandas
>=2.2.0,<4on pybiomart
0.2.0.*on python
>=3.11on tqdm
>=4.0.0,<5on xarray
>=2024.0.0
- 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 pytximport
to add into an existing workspace instead, run:
pixi add pytximport
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 pytximport
Alternatively, to install into a new environment, run:
conda create -n envname pytximport
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/pytximport:<tag>
(see pytximport/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/pytximport/README.html)