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 |