Related Experiment Videos
GLAD: a system for developing and deploying large-scale bioinformatics grid.
Yong-Meng Teo1, Xianbing Wang, Yew-Kwong Ng
1Department of Computer Science, National University of Singapore, Singapore 117543. teoym@comp.nus.edu.sg
Bioinformatics (Oxford, England)
|September 25, 2004
Summary
This study introduces GLAD (Grid Life sciences Applications Developer), a toolkit simplifying the creation and deployment of bioinformatics grid applications. GLAD addresses challenges in algorithm design and data access for large-scale biological data analysis.
Area of Science:
- Bioinformatics
- Computational Biology
- Grid Computing
Background:
- Grid computing enables large-scale bioinformatics by distributing computations across multiple platforms.
- Developing grid applications is challenging due to complex algorithm design, parallelization, and accessing diverse, remote sequence databases.
Purpose of the Study:
- To propose GLAD (Grid Life sciences Applications Developer), a novel grid programming toolkit.
- To facilitate the development and deployment of bioinformatics applications on grid environments.
Main Methods:
- GLAD was developed using ALiCE (Adaptive scaLable Internet-based Computing Engine), a Java-based grid middleware.
- The toolkit exploits task-based parallelism for efficient computation distribution.
Main Results:
- Two benchmark bioinformatics applications were successfully developed using GLAD: distributed sequence comparison and distributed progressive multiple sequence alignment.
- GLAD demonstrated its capability in handling complex bioinformatics tasks on a grid.
Conclusions:
- GLAD simplifies the development of bioinformatics grid applications.
- The toolkit enhances the accessibility and efficiency of large-scale biological data analysis on distributed computing platforms.