BioMoby extensions to the Taverna workflow management and enactment software
Edward Kawas1, Martin Senger, Mark D Wilkinson
1James Hogg iCAPTURE Centre for Cardiovascular and Pulmonary Research, St, Paul's Hospital, Department of Medical Genetics, University of British Columbia, Vancouver, BC, V6Z 1Y6, Canada. ekawas@mrl.ubc.ca <ekawas@mrl.ubc.ca>
A new Taverna plug-in integrates BioMoby (Biological Molecular Data Object Binary Interface) services, simplifying complex data analysis for biologists. This tool enhances accessibility to biological web services, making computational biology more manageable for bench scientists.
Area of Science:
- Computational Biology
- Bioinformatics
- Systems Biology
Background:
- Biology is increasingly data-driven, requiring accessible tools for managing large genomic, proteomic, and systems-biology datasets.
- The BioMoby interoperability system facilitates data movement between web resources for non-expert bioinformaticians.
- The European myGrid project developed Taverna for bioinformatics workflow design and enactment.
Purpose of the Study:
- To integrate BioMoby's interoperability features into the Taverna workflow environment.
- To create a Taverna plug-in simplifying access to BioMoby services for bench biologists.
- To enhance the usability of BioMoby web services for researchers with minimal bioinformatics expertise.
Main Methods:
- Developed a Taverna plug-in providing access to BioMoby functionalities.
- Utilized Moby Central registry for guided workflow construction.
- Automated service connection within Taverna workflows.
Main Results:
- The plug-in enables the design of 'sensible' BioMoby workflows.
- Facilitates pipelining of BioMoby and non-BioMoby resources.
- Users require minimal understanding of BioMoby or Taverna technicalities, focusing on biological meaning.
Conclusions:
- The BioMoby plug-in for Taverna significantly increases the utility and accessibility of BioMoby web services.
- Bench scientists can now more easily leverage BioMoby-based web services compared to traditional alternatives.
- This integration empowers biologists to conduct complex data analyses with greater ease.
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