Concept

MyGrid

Summary
The myGrid consortium produces and uses a suite of tools design to “help e-Scientists get on with science and get on with scientists”. The tools support the creation of e-laboratories and have been used in domains as diverse as systems biology, social science, music, astronomy, multimedia and chemistry. The consortium is led by Carole Goble of the Department of Computer Science at the University of Manchester, UK. Tools developed by the myGrid consortium include: The Taverna workbench for designing, editing and executing scientific workflows myExperiment for sharing workflows and related data BioCatalogue a public registry of Web services for Life Scientists Seek produced in collaboration with the SysModb: Systems Biology of Micro-Organisms DataBase Finding, sharing and exchanging data, models and processes in Systems Biology MethodBox Browse datasets and share knowledge. RightField Sharing the meaning of your data by embedding ontology annotation in spreadsheets The Kidney and Urinary Pathway Database (KUPKB) Workflows for Ever (wf4ever) Scientific workflow preservation The consortium has three distinct phases: The consortium was formed in 2001, bringing together collaborators at the Universities of Manchester, Southampton, Newcastle, Nottingham and Sheffield, The European Molecular Biology Laboratory-European Bioinformatics Institute (EMBL-EBI) in Cambridge, and industrial partners GlaxoSmithKline, Merck KGaA, AstraZeneca, Sun Microsystems, IBM, GeneticXchange, Epistemics and Cerebra, (formerly Network Inference). The UK Engineering and Physical Sciences Research Council funded the first phase of the project with £3.5 million. To date, Grid development has focused on the basic issues of storage, computation and resource management needed to make a global scientific community's information and tools accessible in a high performance environment. However, from an e-Science viewpoint, the purpose of the Grid is to deliver a collaborative and supportive environment that allows geographically distributed scientists to achieve research goals more effectively.
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