A Linked Data Approach to Sharing Workflows and Workflow Results

A bioinformatics analysis pipeline is often highly elaborate, due to the inherent complexity of biological systems and the variety and size of laboratory publications would be highly beneficial to bioinformatics, for evaluating evidence and examining data across related experiments, while introducing the potential to find associated resources and integrate them as data and services. We present initial steps towards preserving bioinformatics design of a data analysis pipeline, and RDF to link the workflow, its component services, run-time provenance, and a personalized biological interpretation of the results. An example shows the reproduction of the unique graph of an analysis procedure, its results, provenance, and personal interpretation of a text mining experiment. It links data from Taverna, myExperiment.org, BioCatalogue.org, and ConceptWiki.org. The approach is relat unobtrusive to bioinformatics users.

• Type: Journal
• Year: 2010
• Where: ISOLA
• Authors: Marco Roos, Sean Bechhofer, Jun Zhao, Paolo Missier, David R. Newman, David De Roure, M. Scott Marshall
• Keywords: Analysis, Bioinformatics, Formal Methods, ISOLA 2010, Personalized Biological Interpretation