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iRODS Metadata Management for a Cancer Genome Analysis Workflow




Veröffentlicht: 2019

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

Volume: 20


BibTeX




Kurzfassung
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.

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

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Critical Information Infrastructures