recipe cannoli

Distributed execution of bioinformatics tools on Apache Spark

Homepage:

https://github.com/bigdatagenomics/cannoli

License:

Apache-2.0

Recipe:

/cannoli/meta.yaml

package cannoli

(downloads) docker_cannoli

versions:
1.0.1-0,  1.0-0,  0.15.0-0,  0.14.0-0,  0.13.0-0,  0.12.0-1,  0.12.0-0,  0.11.1-0,  0.10.0-0, 

1.0.1-0,  1.0-0,  0.15.0-0,  0.14.0-0,  0.13.0-0,  0.12.0-1,  0.12.0-0,  0.11.1-0,  0.10.0-0,  0.9.0-0,  0.8.0-0,  0.7.0-0,  0.6.0-1,  0.6.0-0,  0.2.0-1,  0.2.0-0

depends openjdk:

>=8

depends pyspark:

>=3.2.1

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 cannoli

and update with::

   mamba update cannoli

To create a new environment, run:

mamba create --name myenvname cannoli

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/cannoli:<tag>

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

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Link to this page

Render an install-with-bioconda badge with the following MarkDown:

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