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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Bibliographic Details
Main Author: Pradal, Christophe
Format: monograph biblioteca
Language:eng
Published: CIRAD-BIOS-UMR AGAP
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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spelling 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
institution CIRAD FR
collection DSpace
country Francia
countrycode FR
component Bibliográfico
access En linea
databasecode dig-cirad-fr
tag biblioteca
region Europa del Oeste
libraryname Biblioteca del CIRAD Francia
language eng
topic 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
spellingShingle 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
description 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
author_facet Pradal, Christophe
author_sort Pradal, Christophe
title Scientific workflows
title_short Scientific workflows
title_full Scientific workflows
title_fullStr Scientific workflows
title_full_unstemmed Scientific workflows
title_sort scientific workflows
publisher CIRAD-BIOS-UMR AGAP
url http://agritrop.cirad.fr/582808/
http://agritrop.cirad.fr/582808/1/pradal_mdd_scientificworkflows.pdf
work_keys_str_mv AT pradalchristophe scientificworkflows
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