Tool recommender system in Galaxy using deep learning.

Journal: GigaScience
Published Date: Jan 6, 2021

Abstract

BACKGROUND: Galaxy is a web-based and open-source scientific data-processing platform. Researchers compose pipelines in Galaxy to analyse scientific data. These pipelines, also known as workflows, 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 that can facilitate further data analysis.

Authors

  • Anup Kumar
    Department of Urology, University of Central Florida College of Medicine and Global Robotics Institute, Florida Hospital-Celebration Health, Celebration, FL, USA.
  • Helena Rasche
    Bioinformatics Group, Department of Computer Science, University of Freiburg, Georges-Koehler-Allee 106, 79110 Freiburg, Germany.
  • Björn Grüning
    Bioinformatics Group, Department of Computer Science, University of Freiburg, Georges-Koehler-Allee 106, 79110 Freiburg, Germany.
  • Rolf Backofen
    Bioinformatics Group, Department of Computer Science, Albert-Ludwigs-University Freiburg, Georges-Köhler-Allee 106, Freiburg, 79110, Germany.

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