recipe anadama2

AnADAMA2: Another Automated Data Analysis Management Application 2

Homepage:

http://huttenhower.sph.harvard.edu/anadama2

License:

MIT / MIT

Recipe:

/anadama2/meta.yaml

AnADAMA2 is the next generation of AnADAMA. AnADAMA is a tool to create reproducible workflows and execute them efficiently. Tasks can be run locally or in a grid computing environment to increase efficiency. Essential information from all tasks is recorded, using the default logger and command line reporters, to ensure reproducibility. A auto-doc feature allows for workflows to generate documentation automatically to further ensure reproducibility by capturing the latest essential workflow information. AnADAMA2 was architected to be modular allowing users to customize the application by subclassing the base grid meta-schedulers, reporters, and tracked objects (ie files, executables, etc).

package anadama2

(downloads) docker_anadama2

versions:

0.10.0-0,  0.8.0-0,  0.7.5-0

depends cloudpickle:

depends markdown:

depends networkx:

depends pweave:

depends python:

>=3

depends python-leveldb:

depends six:

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 anadama2

and update with::

   mamba update anadama2

To create a new environment, run:

mamba create --name myenvname anadama2

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/anadama2:<tag>

(see `anadama2/tags`_ for valid values for ``<tag>``)

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

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