iRODS
iRODS manages rule-based organization, metadata, and access control for large-scale next-generation sequencing (NGS) datasets to support cancer genome analysis.
Key Features:
- Metadata Management: Customizable metadata attributes via an open-source metadata management system to track and organize NGS datasets.
- Data Security: Fine-grained, rule-based protection rules and access controls to safeguard sensitive genomic data.
- Centralized Storage: Unified, scalable storage management for large volumes of NGS data within high-performance computing environments.
Scientific Applications:
- Cancer Genomics: Provides secure storage, detailed metadata tracking, and controlled access for datasets used in cancer genome analysis, reproducibility, and validation.
- Genome Analysis Pipelines: Integrates with genome analysis pipelines in high-performance computing environments to enable centralized data and metadata access across research teams.
Methodology:
Deployment within high-performance computing environments combining customizable metadata management, rule-based protection protocols, and centralized storage to provide unified access to NGS dataset metadata.
Topics
Details
- License:
- BSD-3-Clause
- Maturity:
- Mature
- Cost:
- Free of charge
- Tool Type:
- command-line tool
- Operating Systems:
- Linux, Mac
- Added:
- 5/25/2019
- Last Updated:
- 6/16/2020
Operations
Publications
Nieroda L, Maas L, Thiebes S, Lang U, Sunyaev A, Achter V, Peifer M. iRODS metadata management for a cancer genome analysis workflow. BMC Bioinformatics. 2019;20(1). doi:10.1186/s12859-018-2576-5. PMID:30646845. PMCID:PMC6334444.