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Improving data workflow systems with cloud services and use of open data for bioinformatics research.
Md Rezaul Karim1, Audrey Michel2, Achille Zappa3
1Semantics in eHealth and Life Sciences (SeLS), Insight Centre for Data Analytics, National University of Ireland, Galway, Ireland.
Briefings in Bioinformatics
|April 19, 2017
Summary
Data workflow systems (DWFSs) for bioinformatics require cloud integration and Semantic Web compliance to handle large-scale data. This enhances data sharing and accelerates research by reducing IT overhead.
Area of Science:
- Bioinformatics
- Computational Biology
- Data Science
Background:
- Data workflow systems (DWFSs) are crucial for bioinformatics research, enabling data access, analysis, and collaboration.
- The increasing volume of large-scale data (genomes, public repositories, 3D imaging) necessitates efficient handling and processing.
- Current DWFSs face challenges in managing massive datasets and integrating with cloud infrastructures and Semantic Web technologies.
Purpose of the Study:
- To analyze existing DWFS capabilities for large-scale data and open data use.
- To evaluate the integration of cloud services and Semantic Web technologies in DWFS.
- To provide guidelines for developing future DWFS tailored to bioinformatics research needs.
Main Methods:
- Analysis of existing Data Workflow Systems (DWFSs).
- Evaluation of DWFS capabilities concerning large-scale data, cloud services, and Semantic Web technologies.
- Identification of parameters for selecting suitable DWFS solutions for bioinformatics.
Main Results:
- DWFSs must embed processes into cloud infrastructure to manage large-scale data efficiently.
- Compliance with Semantic Web standards is essential for integrating public data and knowledge bases.
- Scalability and high-throughput capabilities are critical due to high data growth rates.
Conclusions:
- Future DWFS for bioinformatics must integrate cloud services and Semantic Web technologies.
- Adoption of these technologies will reduce IT overhead and accelerate research progress.
- Recommendations are provided for the development of next-generation DWFS for the bioinformatics community.