Scientific workflows
Analysing scientific data may involve very complex and interlinked steps where several tools are combined together. Scientific workflows systems have reached a level of maturity that makes them able to support the design and execution of such in-silico experiments. They provide a systematic way of describing the scientific and data methods, and execute complex analysis on a variety of distributed resources. In this lecture, we will review main features of scientific workflows (representation, composition, model of computation, execution, mapping), present different workflows systems, and illustrate how algebraic scientific workflow and provenance can enhance reproductibility in the analysis and simulation of complex systems in biology.
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Subjects: | C30 - Documentation et information, 000 - Autres thèmes, U10 - Informatique, mathématiques et statistiques, F50 - Anatomie et morphologie des plantes, F62 - Physiologie végétale - Croissance et développement, |
Online Access: | http://agritrop.cirad.fr/582808/ http://agritrop.cirad.fr/582808/1/pradal_mdd_scientificworkflows.pdf |
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dig-cirad-fr-5828082022-04-15T14:16:18Z http://agritrop.cirad.fr/582808/ http://agritrop.cirad.fr/582808/ Scientific workflows. Pradal Christophe. 2016. Saint-Jean-de-Luz : CIRAD-BIOS-UMR AGAP-INRIA, 1 diaporama (76 vues) Researchers Scientific workflows Pradal, Christophe eng 2016 CIRAD-BIOS-UMR AGAP C30 - Documentation et information 000 - Autres thèmes U10 - Informatique, mathématiques et statistiques F50 - Anatomie et morphologie des plantes F62 - Physiologie végétale - Croissance et développement Analysing scientific data may involve very complex and interlinked steps where several tools are combined together. Scientific workflows systems have reached a level of maturity that makes them able to support the design and execution of such in-silico experiments. They provide a systematic way of describing the scientific and data methods, and execute complex analysis on a variety of distributed resources. In this lecture, we will review main features of scientific workflows (representation, composition, model of computation, execution, mapping), present different workflows systems, and illustrate how algebraic scientific workflow and provenance can enhance reproductibility in the analysis and simulation of complex systems in biology. monograph info:eu-repo/semantics/report Pedagogical document info:eu-repo/semantics/publishedVersion http://agritrop.cirad.fr/582808/1/pradal_mdd_scientificworkflows.pdf text Cirad license info:eu-repo/semantics/restrictedAccess https://agritrop.cirad.fr/mention_legale.html info:eu-repo/semantics/reference/purl/http://cedric.cnam.fr/summer-school/MDD2016 |
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C30 - Documentation et information 000 - Autres thèmes U10 - Informatique, mathématiques et statistiques F50 - Anatomie et morphologie des plantes F62 - Physiologie végétale - Croissance et développement C30 - Documentation et information 000 - Autres thèmes U10 - Informatique, mathématiques et statistiques F50 - Anatomie et morphologie des plantes F62 - Physiologie végétale - Croissance et développement |
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C30 - Documentation et information 000 - Autres thèmes U10 - Informatique, mathématiques et statistiques F50 - Anatomie et morphologie des plantes F62 - Physiologie végétale - Croissance et développement C30 - Documentation et information 000 - Autres thèmes U10 - Informatique, mathématiques et statistiques F50 - Anatomie et morphologie des plantes F62 - Physiologie végétale - Croissance et développement Pradal, Christophe Scientific workflows |
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Analysing scientific data may involve very complex and interlinked steps where several tools are combined together. Scientific workflows systems have reached a level of maturity that makes them able to support the design and execution of such in-silico experiments. They provide a systematic way of describing the scientific and data methods, and execute complex analysis on a variety of distributed resources. In this lecture, we will review main features of scientific workflows (representation, composition, model of computation, execution, mapping), present different workflows systems, and illustrate how algebraic scientific workflow and provenance can enhance reproductibility in the analysis and simulation of complex systems in biology. |
format |
monograph |
topic_facet |
C30 - Documentation et information 000 - Autres thèmes U10 - Informatique, mathématiques et statistiques F50 - Anatomie et morphologie des plantes F62 - Physiologie végétale - Croissance et développement |
author |
Pradal, Christophe |
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Pradal, Christophe |
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Pradal, Christophe |
title |
Scientific workflows |
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Scientific workflows |
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Scientific workflows |
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Scientific workflows |
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Scientific workflows |
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scientific workflows |
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CIRAD-BIOS-UMR AGAP |
url |
http://agritrop.cirad.fr/582808/ http://agritrop.cirad.fr/582808/1/pradal_mdd_scientificworkflows.pdf |
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AT pradalchristophe scientificworkflows |
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1758025202067832832 |