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.

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https://doaj.org/toc/1471-2105 under the license cc-by
http://link.springer.com/article/10.1186/s12859-018-2576-5/fulltext.html,
http://dx.doi.org/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://publikationen.bibliothek.kit.edu/1000090640/22755823,
https://doi.org/10.1186/s12859-018-2576-5,
https://bmcbioinformatics.biomedcentral.com/articles/10.1186/s12859-018-2576-5?optIn=true,
https://academic.microsoft.com/#/detail/2914661225 under the license http://creativecommons.org/licenses/by/4.0/
https://publikationen.bibliothek.kit.edu/1000090640/22755823,
https://doi.org/10.5445/IR/1000090640,
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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Published on 01/01/2019

Volume 2019, 2019
DOI: 10.5445/ir/1000090640
Licence: Other

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