iRODS metadata management for a cancer genome analysis workflow

BMC Bioinformatics

Ali Sunyaev¹  Scott Thiebes¹  Lukas Maas²  Martin Peifer²  Lech Nieroda³  Viktor Achter³  Ulrich Lang³ 

[1] Department of Economics and Management, Karlsruhe Institute of Technology;Department of Translational Genomics, Center of Integrated Oncology Cologne-Bonn, Medical Faculty, University of Cologne;Regional Computing Center (RRZK), University of Cologne;

关键词: Next generation sequencing (NGS);    Genome analysis;    iRODS;    Workflow integration;    High performance computing (HPC);    Data security;   

DOI  :  10.1186/s12859-018-2576-5

来源: DOAJ

【 摘 要 】

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.

【 授权许可】

Unknown