Semantics-Based Composition of EMBOSS Services with Bio-jETI
نویسندگان
چکیده
Bio-jETI is a framework for model-based, graphical design, execution and management of bioinformatics analysis processes. Formal methodology like automatic service composition extends the framework and, in particular, allows for semantically aware workflow development. In this study we apply the workflow synthesis methodology to the EMBOSS suite of sequence analysis tools. As neither the tool suite itself nor its various interfaces provide ready-to-use semantic annotations, we set up a domain model that uses a high-level, semantically meaningful type nomenclature to describe the input/output behavior of the single EMBOSS tools. Based on this domain model, we demonstrate how working with the large, heterogeneous, and hence manually intractable EMBOSS collection is simplified by our service composition methodology.
منابع مشابه
Semantics-based composition of EMBOSS services
BACKGROUND More than in other domains the heterogeneous services world in bioinformatics demands for a methodology to classify and relate resources in a both human and machine accessible manner. The Semantic Web, which is meant to address exactly this challenge, is currently one of the most ambitious projects in computer science. Collective efforts within the community have already led to a bas...
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