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Designing, Executing and Reusing Scientific Workflows. Katy Wolstencroft myGrid, University of Manchester Marco Roos, University of Amsterdam. Taverna Workflows. Interoperability, Integration and Collaboration Access to distributed and local resources Iteration over data sets Interactive
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Designing, Executing and Reusing Scientific Workflows Katy Wolstencroft myGrid, University of Manchester Marco Roos, University of Amsterdam
Taverna Workflows • Interoperability, Integration and Collaboration • Access to distributed and local resources • Iteration over data sets • Interactive • Automation of data flow • Agile software development • Experimental protocols
What do Scientists use Taverna for? • Data gathering, annotation and model building • Data analysis from distributed tools • Data mining and knowledge management • Data curation and warehouse population • Parameter sweeps and simulation Users from Systems Biology, Proteomics, Sequence analysis, Protein structure prediction, Gene/protein annotation, Microarray data analysis, QTL studies, Chemioinformatics, Medical image analysis, Public Health care epidemiology, Heart model simulation, Phenotype studies, Phylogeny, Statistical analysis, Pharmacogenomics, Text mining Astronomy, Music, Meteorology
Open Source Workflow Environment for Scientists Discover and reuse services Share, discover and reuse workflows Feta Create and run workflows RDF, OWL Manage the metadata needed and generated
myExperiment Features User Profiles Groups Friends Sharing Tags Developer interface Workflows Credits and Attributions Fine control over privacy Packs Federation Enactment
More Information • myGrid • http://www.mygrid.org.uk • Taverna • http://taverna.sourceforge.net • myExperiment • http://www.myexperiment.org • http://rubyforge.org/projects/myexperiment/ • http://wiki.myexperiment.org/ • BioCatalogue • http://www.biocatalogue.org Thanks to Carole Goble, David De Roure and Jiten Bhagat for slide contributions