- recipe anadama2
AnADAMA2: Another Automated Data Analysis Management Application 2
- Homepage:
- License:
MIT / MIT
- Recipe:
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¶
- Versions:
0.10.0-0,0.8.0-0,0.7.5-0- Depends:
on cloudpickle
on markdown
on networkx
on pweave
on python
>=3on python-leveldb
on six
- Additional platforms:
Installation¶
You need a conda-compatible package manager (currently either pixi, conda, or micromamba) and the Bioconda channel already activated (see Usage). Below, we show how to install with either pixi or conda (for micromamba and mamba, commands are essentially the same as with conda).
Pixi¶
With pixi installed and the Bioconda channel set up (see Usage), to install globally, run:
pixi global install anadama2
to add into an existing workspace instead, run:
pixi add anadama2
In the latter case, make sure to first add bioconda and conda-forge to the channels considered by the workspace:
pixi workspace channel add conda-forge
pixi workspace channel add bioconda
Conda¶
With conda installed and the Bioconda channel set up (see Usage), to install into an existing and activated environment, run:
conda install anadama2
Alternatively, to install into a new environment, run:
conda create -n envname anadama2
with envname being the name of the desired environment.
Container¶
Alternatively, every Bioconda package is available as a container image for usage with your preferred container runtime. For e.g. docker, run:
docker pull quay.io/biocontainers/anadama2:<tag>
(see anadama2/tags for valid values for <tag>).
Integrated deployment¶
Finally, note that many scientific workflow management systems directly integrate both conda and container based software deployment. Thus, workflow steps can be often directly annotated to use the package, leading to automatic deployment by the respective workflow management system, thereby improving reproducibility and transparency. Check the documentation of your workflow management system to find out about the integration.
Download stats¶
Link to this page¶
Render an 
badge with the following MarkDown:
[](http://bioconda.github.io/recipes/anadama2/README.html)
