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Published on: April 4, 2018
Implementing a genomic data management system using iRODS in the Wellcome Trust Sanger Institute
Gen-Tao Chiang1, Peter Clapham, Guoying Qi
1Wellcome Trust Sanger Institute, Informatics System Group, Wellcome Trust Genome Campus, Hinxton, CB10 1SA, UK. gtc@sanger.ac.uk
The Wellcome Trust Sanger Institute implemented the iRODS (Integrated Rule-Oriented Data System) data management system to handle large DNA sequencing data. This system enhances data tracking and management for biologists and IT experts.
Area of Science:
- Genomics
- Bioinformatics
- Data Management
Background:
- The Wellcome Trust Sanger Institute (WTSI) faces challenges managing vast amounts of DNA sequencing data.
- Traditional file systems are inadequate for the scale of genomic data.
- A robust data management system is crucial for WTSI's sequencing pipeline and data tracking.
Purpose of the Study:
- To implement and integrate a new data management system at WTSI.
- To describe the design and utilization of iRODS from system and user perspectives.
- To detail challenges and solutions during iRODS implementation.
Main Methods:
- Selected and implemented iRODS (Integrated Rule-Oriented Data System) as the data management solution.
- Utilized iRODS's rule-based system for data replication and protection.
- Leveraged iRODS's comprehensive and customizable metadata system.
Main Results:
- iRODS has been successfully implemented as the production system for WTSI's sequencing pipeline.
- Enhanced data replication and protection capabilities were achieved.
- Users can now define and query custom application-level metadata for genomic data.
Conclusions:
- iRODS effectively addresses WTSI's data management challenges for large-scale sequencing data.
- Biologists and IT experts can now track and manage data efficiently.
- The system enables novel approaches for querying genomic data using custom metadata.
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