Open source workflow systems in life sciences informatics
| Autor: | Achilleos, Kleo G., Kannas, Christos C., Nicolaou, Christos A., Pattichis, Constantinos S., Promponas, Vasilis J. |
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| Přispěvatelé: | Pattichis, Constantinos S. [0000-0003-1271-8151], Promponas, Vasilis J. [0000-0003-3352-4831], Nicolaou, Christos A. [0000-0002-1466-6992] |
| Rok vydání: | 2012 |
| Předmět: |
in silico experiment
Informatics Cloud processing Bioinformatics Computer science Data management Information science Programming tools computer.software_genre Management systems Workflow engine Workflow technology Information management User friendliness scientific workflow Unique features Open systems Web services Reusability business.industry Data science Workflow Scientific collaboration Scientific workflows In-silico Life-sciences Research teams Management system Distributed resources Data integration Work-flow systems Web service Experiments business Open sources computer Scientific fields Workflow management system scientific workflow management system |
| Zdroj: | BIBE IEEE 12th International Conference on BioInformatics and BioEngineering, BIBE 2012 12th IEEE International Conference on BioInformatics and BioEngineering, BIBE 2012 |
| DOI: | 10.1109/bibe.2012.6399732 |
| Popis: | A simple yet powerful programming tool enabling in silico experimentation, end-to-end data management through web services as well as use of grid and cloud processing power is scientific workflows. This technology is receiving considerable interest in recent years primarily due to its ability to promote and support scientific collaboration among large distributed research teams. The paper reviews the Scientific Workflows Management Systems (SWMS) field and investigates in detail popular open source workflow systems used commonly in life sciences informatics. Emphasis is placed on features which make these systems attractive for scientific use, e.g. user friendliness, use of distributed resources, reusability, provenance, collaboration, data integration, etc. Our conclusions indicate that although SWMS, including open source ones, have several open issues, their unique features and strong momentum clearly suggest that it is only a matter of time before they are adopted in even more scientific fields. © 2012 IEEE. 552 558 Sponsors: IEEE IEEE Computer Society University of Cyprus Biological and AI Foundation (BAIF) Frederick University Conference code: 95206 Cited By :3 |
| Databáze: | OpenAIRE |
| Externí odkaz: |
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