Comparative Studies Simplified in GPFlow

  • Authors:

  • Lawrence Buckingham;James M. Hogan;Paul Roe;Jiro Sumitomo;Michael Towsey

  • Affiliations:

  • Queensland University of Technology, Brisbane, Australia QLD 4001;Queensland University of Technology, Brisbane, Australia QLD 4001;Queensland University of Technology, Brisbane, Australia QLD 4001;Queensland University of Technology, Brisbane, Australia QLD 4001;Queensland University of Technology, Brisbane, Australia QLD 4001

  • Venue:
  • ICCS '08 Proceedings of the 8th international conference on Computational Science, Part III
  • Year:
  • 2008

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Abstract

We present a novel, web-accessible scientific workflow system which makes large-scale comparative studies accessible without programming or excessive configuration requirements. GPFlow allows a workflow defined on single input values to be automatically lifted to operate over collections of input values and supports the formation and processing of collections of values without the need for explicit iteration constructs. We introduce a new model for collection processing based on key aggregation and slicing which guarantees processing integrity and facilitates automatic association of inputs, allowing scientific users to manage the combinatorial explosion of data values inherent in large scale comparative studies. The approach is demonstrated using a core task from comparative genomics, and builds upon our previous work in supporting combined interactive and batch operation, through a lightweight web-based user interface.