miniwdl

Workflow Description Language local runner & developer toolkit for Python 3.6+

Install miniwdl

Installation requires Python 3.6+, pip3 (or conda) and Docker. Linux preferred; macOS compatible with extra steps. More detail in full documentation.

• Intall with pip : run pip3 install miniwdl
• Install with conda : run conda install -c conda-forge miniwdl
• Verify your miniwdl installation: miniwdl run_self_test
• Install from source code: see the Dockerfile for dependencies to run setup.py

Use miniwdl

Run an example bioinformatics WDL pipeline using miniwdl, or learn more abut miniwdl via a short course (screencast examples). If you are new to the WDL language, see the open source learn-wdl course.

• Run an example using a viral genome assembly workflow
• Learn miniwdl course w/screencasts - shown below
• Learn WDL course w/screencasts

Documentation

The online documentation includes a user tutorial, reference manual, and Python development codelabs:

See the Releases for change logs. The Project board shows the current prioritization of issues.

Getting Help

• Open an issue
• OpenWDL Slack
• Bioinformatics Stack Exchange

Contributing

Feedback and contributions to miniwdl are welcome, via issues and pull requests on this repository. See CONTRIBUTING.md for guidelines and instructions to set up your development environment.

Security

Please disclose security issues responsibly by contacting [email protected].