recipe r-velocyto.r

RNA velocity estimation in R



GPL3 / GPL-3



package r-velocyto.r

(downloads) docker_r-velocyto.r



depends bioconductor-pcamethods:

depends boost-cpp:


depends libgcc-ng:


depends libstdcxx-ng:


depends r-abind:

depends r-base:


depends r-cluster:

depends r-hdf5r:

depends r-igraph:

depends r-mass:

depends r-matrix:

depends r-mgcv:

depends r-rcpp:


depends r-rcpparmadillo:



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 r-velocyto.r

and update with::

   mamba update r-velocyto.r

To create a new environment, run:

mamba create --name myenvname r-velocyto.r

with myenvname being a reasonable name for the environment (see e.g. the mamba docs for details and further options).

Alternatively, use the docker container:

   docker pull<tag>

(see `r-velocyto.r/tags`_ for valid values for ``<tag>``)

Download stats