Containerization of Galaxy Workflows increases Reproducibility

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dc.contributor.author Bartusch, Felix
dc.contributor.author Hanussek, Maximilian
dc.contributor.author Krüger, Jens
dc.date.accessioned 2018-08-22T13:34:42Z
dc.date.available 2018-08-22T13:34:42Z
dc.date.issued 2018-08-14
dc.identifier.other 510360505
dc.identifier.uri http://hdl.handle.net/10900/83810
dc.identifier.uri http://nbn-resolving.de/urn:nbn:de:bsz:21-dspace-838100 de_DE
dc.identifier.uri http://dx.doi.org/10.15496/publikation-25200
dc.description.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. en
dc.language.iso en de_DE
dc.publisher Universität Tübingen de_DE
dc.publisher Universität Tübingen de_DE
dc.rights ubt-podok de_DE
dc.rights.uri http://tobias-lib.uni-tuebingen.de/doku/lic_mit_pod.php?la=de de_DE
dc.rights.uri http://tobias-lib.uni-tuebingen.de/doku/lic_mit_pod.php?la=en en
dc.subject.classification Hochleistungsrechnen de_DE
dc.subject.ddc 000 de_DE
dc.subject.ddc 004 de_DE
dc.title Containerization of Galaxy Workflows increases Reproducibility en
dc.type ConferencePaper de_DE
utue.publikation.fachbereich Zentrum für Datenverarbeitung de_DE
utue.publikation.fakultaet 7 Mathematisch-Naturwissenschaftliche Fakultät de_DE

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