recipe dropest

Pipeline for initial analysis of droplet-based single-cell RNA-seq data






package dropest

(downloads) docker_dropest



depends bamtools:


depends boost:


depends bzip2:


depends libgcc-ng:


depends libstdcxx-ng:


depends libzlib:


depends r-base:


depends r-dplyr:

depends r-ggplot2:

depends r-ks:

depends r-magrittr:

depends r-matrix:

depends r-pcapp:

depends r-rcpp:

depends r-rcppeigen:

depends r-rcppprogress:

depends r-rinside:

depends zlib:



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 dropest

and update with::

   mamba update dropest

To create a new environment, run:

mamba create --name myenvname dropest

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 `dropest/tags`_ for valid values for ``<tag>``)

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