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Related Experiment Videos

Seahawk: moving beyond HTML in Web-based bioinformatics analysis.

Paul M K Gordon1, Christoph W Sensen

  • 1University of Calgary, Faculty of Medicine, Sun Center of Excellence for Visual Genomics, Calgary, AB, Canada. gordonp@ucalgary.ca

BMC Bioinformatics
|June 20, 2007
PubMed
Summary
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Seahawk simplifies complex bioinformatics analysis by seamlessly chaining web services. This data-centric approach, using familiar web pages, empowers biologists to create intricate workflows without programming knowledge.

Area of Science:

  • Bioinformatics
  • Computational Biology
  • Semantic Web Technologies

Background:

  • Traditional web interfaces for bioinformatics analysis are inconsistent, complicating multi-step analyses for biologists.
  • Disparate and distributed data and services in bioinformatics necessitate integrated solutions.
  • Semantic Web Services offer automated discovery and conceptual linking of remote analysis servers.

Purpose of the Study:

  • To develop an intuitive tool for biologists to chain web services seamlessly.
  • To lower the barrier to entry for complex bioinformatics analyses.
  • To enable biologists to focus on analytical tasks rather than technical data handling.

Main Methods:

  • Developed Seahawk, a program employing a data-centric approach to chain web services.

Related Experiment Videos

  • Utilized an XML data engine with XSLT, regular expressions, and XPath for data import.
  • Integrated existing user data into the MOBY-S format through familiar web browser interactions.

    • Main Results:

    • Seahawk allows intuitive chaining of web services using a data-centric approach.
    • Users can load existing web pages and text files directly into Seahawk.
    • The tool requires no prior knowledge of data ontologies or specific services.

    Conclusions:

    • Seahawk empowers biologists to concentrate on analysis, not technical details.
    • The adoption of MOBY-S (Mention Of Bio-Ontology Specifications) is expected to increase.
    • Biologists can create complex, ad hoc analysis workflows independently.