ArticleBMC bioinformatics2019
iRODS metadata management for a cancer genome analysis workflow.
Article in BMC bioinformatics, 2019. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 4 papers.
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Who cites it
4 citing papers in PubMed.
- bMINTY: enabling reproducible management of high-throughput sequencing analysis results and their metadata.NAR genomics and bioinformatics · 2026Article
- Accessible viral metagenomics for public health and clinical domains with Jovian.Scientific reports · 2024Article
- Somatic rearrangements causing oncogenic ectodomain deletions of FGFR1 in squamous cell lung cancer.The Journal of clinical investigation · 2023Article
- Shifting Gears in Precision Oncology-Challenges and Opportunities of Integrative Data Analysis.Biomolecules · 2021Review
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Authors and funding
7 authors.
Funding
No grant is acknowledged in the PubMed record.
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.
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