Published September 7, 2023
| Version v1
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Conda, Container and Bots: How to Build and Maintain Tool Dependencies in Workflows and Training Materials
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1.
University of Freiburg
Description
The lifecycle of scientific tools comprises the creation of code releases, packages and containers which can be deployed into cloud platforms, such as the Galaxy Project, where they are run and integrated into workflows. The tools and workflows are further used to create training material that benefits a broad community. The need to organize and streamline this tool development lifecycle has led to a sophisticated development and deployment architecture.
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