title: GLAD: a system for developing and deploying large-scale bioinformatics grid.
abstract: 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.
authors.affiliation: Department of Computer Science, National University of Singapore, Singapore 117543. teoym@comp.nus.edu.sg
authors.forename: Yong-Meng
authors.initials: YM
authors.lastname: Teo
authors.forename: Xianbing
authors.initials: X
authors.lastname: Wang
authors.forename: Yew-Kwong
authors.initials: YK
authors.lastname: Ng
mesh_terms: 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