Conference Paper

Comparative Studies Simplified in GPFlow

DOI: 10.1007/978-3-540-69389-5_56 Conference: Computational Science - ICCS 2008, 8th International Conference, Kraków, Poland, June 23-25, 2008, Proceedings, Part III
Source: DBLP


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.

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