Stage-oe-small.jpg

Article3205: Unterschied zwischen den Versionen

Aus Aifbportal
Wechseln zu:Navigation, Suche
(Die Seite wurde neu angelegt: „{{Publikation Erster Autor |ErsterAutorNachname=Nieroda |ErsterAutorVorname=Lech }} {{Publikation Author |Rank=2 |Author=Lukas Maas }} {{Publikation Author |Ra…“)
 
 
Zeile 37: Zeile 37:
 
}}
 
}}
 
{{Publikation Details
 
{{Publikation Details
|Abstract=Background
+
|Abstract=BackgroundThe 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.ResultsWe 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.ConclusionsIntegrating 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.
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.
 
 
|Link=https://doi.org/10.1186/s12859-018-2576-5
 
|Link=https://doi.org/10.1186/s12859-018-2576-5
 
|DOI Name=10.1186/s12859-018-2576-5
 
|DOI Name=10.1186/s12859-018-2576-5

Aktuelle Version vom 26. September 2019, 12:19 Uhr


iRODS Metadata Management for a Cancer Genome Analysis Workflow




Veröffentlicht: 2019

Journal: BMC Bioinformatics
Nummer: 29
Seiten: 1-8

Volume: 20


Referierte Veröffentlichung

BibTeX




Kurzfassung
BackgroundThe 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.ResultsWe 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.ConclusionsIntegrating 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.

Weitere Informationen unter: Link
DOI Link: 10.1186/s12859-018-2576-5

Projekt

MILES



Forschungsgruppe

Critical Information Infrastructures


Forschungsgebiet