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Search for computational workflow synergies in reproducible research data analyses in particle physics and life sciences

We describe the REANA reusable and reproducible research data analysis platform that originated in the domain of particle physics. We integrated support for running Common Workflow Language (CWL) workflows that originated in the domain of life sciences. This integration allowed us to study the appli...

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Detalles Bibliográficos
Autores principales: Šimko, Tibor, Cranmer, Kyle, Crusoe, Michael R, Heinrich, Lukas, Khodak, Anton, Kousidis, Dinos, Rodrı́guez, Diego
Lenguaje:eng
Publicado: 2018
Acceso en línea:http://cds.cern.ch/record/2652344
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author Šimko, Tibor
Cranmer, Kyle
Crusoe, Michael R
Heinrich, Lukas
Khodak, Anton
Kousidis, Dinos
Rodrı́guez, Diego
author_facet Šimko, Tibor
Cranmer, Kyle
Crusoe, Michael R
Heinrich, Lukas
Khodak, Anton
Kousidis, Dinos
Rodrı́guez, Diego
author_sort Šimko, Tibor
collection CERN
description We describe the REANA reusable and reproducible research data analysis platform that originated in the domain of particle physics. We integrated support for running Common Workflow Language (CWL) workflows that originated in the domain of life sciences. This integration allowed us to study the applicability of CWL to particle physics analyses and look for synergies in computational practices in the two communities.
id cern-2652344
institution Organización Europea para la Investigación Nuclear
language eng
publishDate 2018
record_format invenio
spelling cern-26523442019-09-30T06:29:59Zhttp://cds.cern.ch/record/2652344engŠimko, TiborCranmer, KyleCrusoe, Michael RHeinrich, LukasKhodak, AntonKousidis, DinosRodrı́guez, DiegoSearch for computational workflow synergies in reproducible research data analyses in particle physics and life sciencesWe describe the REANA reusable and reproducible research data analysis platform that originated in the domain of particle physics. We integrated support for running Common Workflow Language (CWL) workflows that originated in the domain of life sciences. This integration allowed us to study the applicability of CWL to particle physics analyses and look for synergies in computational practices in the two communities.Poster-2018-666oai:cds.cern.ch:26523442018-10-29
spellingShingle Šimko, Tibor
Cranmer, Kyle
Crusoe, Michael R
Heinrich, Lukas
Khodak, Anton
Kousidis, Dinos
Rodrı́guez, Diego
Search for computational workflow synergies in reproducible research data analyses in particle physics and life sciences
title Search for computational workflow synergies in reproducible research data analyses in particle physics and life sciences
title_full Search for computational workflow synergies in reproducible research data analyses in particle physics and life sciences
title_fullStr Search for computational workflow synergies in reproducible research data analyses in particle physics and life sciences
title_full_unstemmed Search for computational workflow synergies in reproducible research data analyses in particle physics and life sciences
title_short Search for computational workflow synergies in reproducible research data analyses in particle physics and life sciences
title_sort search for computational workflow synergies in reproducible research data analyses in particle physics and life sciences
url http://cds.cern.ch/record/2652344
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