- recipe easy_vitessce
A package to easily use Vitessce to create interactive plots for single-cell data
- Homepage:
- License:
MIT
- Recipe:
- package easy_vitessce¶
- versions:
0.0.9-0- depends anndata:
>=0.11.4- depends black:
>=21.11b1- depends dask-core:
2024.11.1- depends distributed:
<=2024.11.2- depends donfig:
>=0.3.1- depends numcodecs:
>=0.5.7,<0.16.0- depends numpy:
>=1.21.2- depends pandas:
>=1.1.2- depends python:
>=3.9- depends scanpy:
>=1.11.3- depends scipy:
>=1.2.1- depends spatialdata:
>=0.3.0- depends spatialdata-plot:
>=0.2.7- depends vitessce-python:
>=3.7.9- depends xarray:
>=2024.10.0,<=2025.3.0- depends zarr:
>=2.5.0,<3- requirements:
- additional platforms:
Installation
You need a conda-compatible package manager (currently either micromamba, mamba, or conda) and the Bioconda channel already activated (see set-up-channels).
While any of above package managers is fine, it is currently recommended to use either micromamba or mamba (see here for installation instructions). We will show all commands using mamba below, but the arguments are the same for the two others.
Given that you already have a conda environment in which you want to have this package, install with:
mamba install easy_vitessce and update with:: mamba update easy_vitessce
To create a new environment, run:
mamba create --name myenvname easy_vitessce
with
myenvnamebeing a reasonable name for the environment (see e.g. the mamba docs for details and further options).Alternatively, use the docker container:
docker pull quay.io/biocontainers/easy_vitessce:<tag> (see `easy_vitessce/tags`_ for valid values for ``<tag>``)
Download stats¶
Link to this page¶
Render an 
badge with the following MarkDown:
[](http://bioconda.github.io/recipes/easy_vitessce/README.html)
