GLAD: a system for developing and deploying large-scale bioinformatics grid.
BACKGROUND
Grid computing is used to solve large-scale bioinformatics problems with gigabytes database by distributing the computation across multiple platforms. Until now in developing bioinformatics grid applications, it is extremely tedious to design and implement the component algorithms and parallelization techniques for different classes of problems, and to access remotely located sequence database files of varying formats across the grid. In this study, we propose a grid programming toolkit, GLAD (Grid Life sciences Applications Developer), which facilitates the development and deployment of bioinformatics applications on a grid.


RESULTS
GLAD has been developed using ALiCE (Adaptive scaLable Internet-based Computing Engine), a Java-based grid middleware, which exploits the task-based parallelism. Two bioinformatics benchmark applications, such as distributed sequence comparison and distributed progressive multiple sequence alignment, have been developed using GLAD.
Teo
Yong-Meng
YM
Department of Computer Science, National University of Singapore, Singapore 117543. teoym@comp.nus.edu.sg
Wang
Xianbing
X
Ng
Yew-Kwong
YK
D019295:Computational Biology / Q000379:methods*; D003195:Computer Communication Networks; D003628:Database Management Systems; D030541:Databases, Genetic; D016247:Information Storage and Retrieval / Q000379:methods*; D011381:Programming Languages; D017421:Sequence Analysis / Q000379:methods*; D012984:Software; D012985:Software Design; D014584:User-Computer Interface