recipe prosolo

A highly sensitive and accurate Bayesian caller for variants in single cell sequencing data.

Homepage:

https://github.com/prosolo/prosolo/tree/v0.6.1

License:

GPLv3

Recipe:

/prosolo/meta.yaml

package prosolo

(downloads) docker_prosolo

versions:
0.6.1-20.6.1-10.6.1-00.6.0-00.5.0-00.4.0-40.4.0-30.4.0-20.4.0-1

0.6.1-20.6.1-10.6.1-00.6.0-00.5.0-00.4.0-40.4.0-30.4.0-20.4.0-10.3.1-00.2.0-0

depends bzip2:

>=1.0.8,<2.0a0

depends clangdev:

depends gsl:

>=2.6,<2.7.0a0

depends libcblas:

>=3.8.0,<4.0a0

depends xz:

>=5.2.5,<5.3.0a0

depends zlib:

>=1.2.11,<1.3.0a0

requirements:

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 prosolo

and update with::

   mamba update prosolo

To create a new environment, run:

mamba create --name myenvname prosolo

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 quay.io/biocontainers/prosolo:<tag>

(see `prosolo/tags`_ for valid values for ``<tag>``)

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