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Personalized cloud-based bioinformatics services for research and education: use cases and the elasticHPC package.
Mohamed El-Kalioby1, Mohamed Abouelhoda, Jan Krüger
1Centre for Informatics Sciences, Nile University, Giza, Egypt. mohamed.elkalioby@nileu.edu.eg
BMC Bioinformatics
|January 4, 2013
Summary
Cloud computing offers a flexible solution for bioinformatics services, addressing limitations of traditional web servers. The elasticHPC package facilitates cloud adoption for enhanced computational power and data analysis.
Area of Science:
- Bioinformatics
- Computational Biology
- Cloud Computing
Background:
- Traditional bioinformatics web servers face scalability issues with growing user numbers and data sizes.
- Existing infrastructure lacks flexibility for speed and availability demands.
- Cloud computing offers a promising
- resources-on-demand
- pay-as-you-go
- model but lacks domain-specific solutions.
Purpose of the Study:
- To propose use case scenarios for cloud-based bioinformatics services.
- To address technical and financial considerations of cloud adoption.
- To introduce elasticHPC as a facilitating software package.
Main Methods:
- Development of use case scenarios for individual users and service providers.
- Presentation of the elasticHPC software package and library.
- Demonstration with bioinformatics servers and tools like BLAST.
Main Results:
- Validation of cloud-based service models through concrete examples.
- Experimental results with large datasets demonstrating cloud advantages.
- Successful implementation of bioinformatics scenarios using elasticHPC.
Conclusions:
- Cloud-based bioinformatics services can overcome data challenges in biological research.
- The elasticHPC package and scenarios pave the way for cloud adoption.
- Resources are available at http://www.elasticHPC.org.
