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Visual Life Sciences Workflow Design Using Distributed and Heterogeneous Resources.

Xin Mou, Hasan M Jamil

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    Summary
    This summary is machine-generated.

    VisFlow is a visual language for workflow orchestration, simplifying complex data tasks for biologists. It enables arbitrary workflow design using query primitives and extensible computational artifacts.

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    Area of Science:

    • Bioinformatics
    • Computational Biology
    • Data Science

    Background:

    • Programming and querying require technical expertise, limiting accessibility for scientists.
    • Existing workflow orchestration systems have usability limitations and restricted applicability.

    Purpose of the Study:

    • To introduce VisFlow, a visual language for simplifying workflow orchestration.
    • To enable biologists to focus on scientific questions rather than computational complexities.
    • To support workflow design using heterogeneous and distributed resources.

    Main Methods:

    • Developed VisFlow, a visual programming language for workflow orchestration.
    • Utilized query primitives for designing arbitrary workflows.
    • Integrated computational artifacts from languages like R, Python, Java, SQL, and XQuery for extensibility.

    Main Results:

    • VisFlow allows workflow design with minimal technical familiarity.
    • The system supports heterogeneous and distributed resources effectively.
    • Demonstrated VisFlow's capabilities through a substantial set of examples.

    Conclusions:

    • VisFlow enhances usability and accessibility of computational workflows for biologists.
    • The visual language and extensible design address limitations of existing systems.
    • VisFlow facilitates concentration on scientific inquiry by abstracting computational details.