Scipediacontent: Scipediacontent moved page Draft Content 285924271 to Peifer et al 2019a

2021-02-12T12:44:35Z

Scipediacontent moved page Draft Content 285924271 to Peifer et al 2019a

Scipediacontent: Created page with " == Abstract == Background: The massive amounts of data from next generation sequencing (NGS) methods pose various challenges with respect to data security, storage and metad..."

2021-02-12T12:44:32Z

Created page with " == Abstract == Background: The massive amounts of data from next generation sequencing (NGS) methods pose various challenges with respect to data security, storage and metad..."

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== Abstract ==

Background: The massive amounts of data from next generation sequencing (NGS) methods pose various challenges with respect to data security, storage and metadata management. While there is a broad range of data analysis pipelines, these challenges remain largely unaddressed to date. Results: We describe the integration of the open-source metadata management system iRODS (Integrated Rule-Oriented Data System) with a cancer genome analysis pipeline in a high performance computing environment. The system allows for customized metadata attributes as well as fine-grained protection rules and is augmented by a user-friendly front-end for metadata input. This results in a robust, efficient end-to-end workflow under consideration of data security, central storage and unified metadata information. Conclusions: Integrating iRODS with an NGS data analysis pipeline is a suitable method for addressing the challenges of data security, storage and metadata management in NGS environments.

Document type: Article

== Full document ==
<pdf>Media:Draft_Content_285924271-beopen212-1990-document.pdf</pdf>

== Original document ==

The different versions of the original document can be found in:

* [http://dx.doi.org/10.1186/s12859-018-2576-5 http://dx.doi.org/10.1186/s12859-018-2576-5] under the license http://creativecommons.org/licenses/by/4.0/

* [http://dx.doi.org/10.5445/ir/1000090640 http://dx.doi.org/10.5445/ir/1000090640] under the license http://creativecommons.org/licenses/by/4.0

* [http://europepmc.org/articles/PMC6334444 http://europepmc.org/articles/PMC6334444] under the license https://creativecommons.org/licenses/by/4.0/deed.de

* [https://bmcbioinformatics.biomedcentral.com/track/pdf/10.1186/s12859-018-2576-5 https://bmcbioinformatics.biomedcentral.com/track/pdf/10.1186/s12859-018-2576-5]

* [http://link.springer.com/article/10.1186/s12859-018-2576-5 http://link.springer.com/article/10.1186/s12859-018-2576-5],
: [https://doaj.org/toc/1471-2105 https://doaj.org/toc/1471-2105] under the license cc-by

* [http://link.springer.com/content/pdf/10.1186/s12859-018-2576-5.pdf http://link.springer.com/content/pdf/10.1186/s12859-018-2576-5.pdf],
: [http://link.springer.com/article/10.1186/s12859-018-2576-5/fulltext.html http://link.springer.com/article/10.1186/s12859-018-2576-5/fulltext.html],
: [http://dx.doi.org/10.1186/s12859-018-2576-5 http://dx.doi.org/10.1186/s12859-018-2576-5]

* [https://dblp.uni-trier.de/db/journals/bmcbi/bmcbi20.html#NierodaMTLSAP19 https://dblp.uni-trier.de/db/journals/bmcbi/bmcbi20.html#NierodaMTLSAP19],
: [https://bmcbioinformatics.biomedcentral.com/articles/10.1186/s12859-018-2576-5 https://bmcbioinformatics.biomedcentral.com/articles/10.1186/s12859-018-2576-5],
: [https://www.ncbi.nlm.nih.gov/pubmed/30646845 https://www.ncbi.nlm.nih.gov/pubmed/30646845],
: [https://publikationen.bibliothek.kit.edu/1000090640/22755823 https://publikationen.bibliothek.kit.edu/1000090640/22755823],
: [https://doi.org/10.1186/s12859-018-2576-5 https://doi.org/10.1186/s12859-018-2576-5],
: [https://bmcbioinformatics.biomedcentral.com/articles/10.1186/s12859-018-2576-5?optIn=true https://bmcbioinformatics.biomedcentral.com/articles/10.1186/s12859-018-2576-5?optIn=true],
: [https://academic.microsoft.com/#/detail/2914661225 https://academic.microsoft.com/#/detail/2914661225] under the license http://creativecommons.org/licenses/by/4.0/

* [https://publikationen.bibliothek.kit.edu/1000090640 https://publikationen.bibliothek.kit.edu/1000090640],
: [https://publikationen.bibliothek.kit.edu/1000090640/22755823 https://publikationen.bibliothek.kit.edu/1000090640/22755823],
: [https://doi.org/10.5445/IR/1000090640 https://doi.org/10.5445/IR/1000090640],
: [http://nbn-resolving.de/urn/resolver.pl?urn:nbn:de:swb:90-906400 http://nbn-resolving.de/urn/resolver.pl?urn:nbn:de:swb:90-906400]

DOIS: 10.5445/ir/1000090640 10.1186/s12859-018-2576-5

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Peifer et al 2019a - Revision history

Scipediacontent: Scipediacontent moved page Draft Content 285924271 to Peifer et al 2019a

Scipediacontent: Created page with " == Abstract == Background: The massive amounts of data from next generation sequencing (NGS) methods pose various challenges with respect to data security, storage and metad..."