- recipe multivelo
Multi-omic extension of single-cell RNA velocity
- Homepage:
- License:
BSD / BSD-3-Clause
- Recipe:
- package multivelo¶
- versions:
0.1.3-0,0.1.2-0- depends anndata:
>=0.7.5- depends h5py:
>=2.10.0- depends ipywidgets:
<=7.7.1- depends joblib:
- depends loompy:
>=2.0.12- depends matplotlib-base:
>=3.3.0- depends numba:
>=0.41.0- depends numpy:
>=1.17- depends pandas:
>=0.23- depends python:
>=3.7- depends scanpy:
>=1.5- depends scikit-learn:
>=0.23.0- depends scipy:
>=1.4.1- depends scvelo:
>=0.2.3- depends seaborn:
>=0.11.0- depends tqdm:
- depends umap-learn:
>=0.3.10- 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 multivelo and update with:: mamba update multivelo
To create a new environment, run:
mamba create --name myenvname multivelo
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/multivelo:<tag> (see `multivelo/tags`_ for valid values for ``<tag>``)
Download stats¶
Link to this page¶
Render an 
badge with the following MarkDown:
[](http://bioconda.github.io/recipes/multivelo/README.html)
