Containerization of Galaxy Workflows increases Reproducibility

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URI: http://hdl.handle.net/10900/83810
http://nbn-resolving.de/urn:nbn:de:bsz:21-dspace-838100
http://dx.doi.org/10.15496/publikation-25200
Dokumentart: ConferencePaper
Date: 2018-08-14
Language: English
Faculty: 7 Mathematisch-Naturwissenschaftliche Fakultät
Department: Zentrum für Datenverarbeitung
DDC Classifikation: 000 - Computer science, information and general works
004 - Data processing and computer science
Keywords: Hochleistungsrechnen
License: http://tobias-lib.uni-tuebingen.de/doku/lic_mit_pod.php?la=de http://tobias-lib.uni-tuebingen.de/doku/lic_mit_pod.php?la=en
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Abstract:

Published scientific findings supported by computational experiments should be reproducible by following the methodical description in the publication. Because this is often not the case, we present a method to containerize Galaxy workflows within Singularity containers. These containers are executable such that other researchers can reproduce computational experiments or run their own experiments using the containerized workflows.

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