Tool recommender system in Galaxy using deeplearning

Workflows in Galaxy can be complex and difficult to create from thousands of tools, especially for researchers new to Galaxy. To help researchers with creating workflows, a system is developed to recommend tools which can facilitate further data analysis. The recommendation model is accessed by a Galaxy API to provide researchers with recommended tools in an interactive manner using multiple user interface (UI) integrations on the European Galaxy server. Good quality and highly-used tools are shown at the top of the recommended tools. The system developed is available as open-source software.