Conda,容器和机器人如何在工作流和培训材料中构建和维护工具依赖关系

Paul Zierep, Sanjay Kumar Srikakulam, Sebastian Schaaf, Björn A. Grüning
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摘要

摘要科学工具的生命周期包括代码发布、包和容器的创建,这些代码发布、包和容器可以部署到云平台中,比如银河项目,它们在云平台上运行并集成到工作流中。这些工具和工作流程被进一步用于创建有益于广泛社区的培训材料。组织和简化工具开发生命周期的需求导致了复杂的开发和部署体系结构。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Conda, Container and Bots How to Build and Maintain Tool Dependencies in Workflows and Training Materials
Abstract. 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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