Please use this identifier to cite or link to this item:
|Title:||GLAD: A system for developing and deploying large-scale bioinformatics grid|
|Authors:||Teo, Y.-M. |
|Citation:||Teo, Y.-M., Wang, X., Ng, Y.-K. (2005). GLAD: A system for developing and deploying large-scale bioinformatics grid. Bioinformatics 21 (6) : 794-802. ScholarBank@NUS Repository. https://doi.org/10.1093/bioinformatics/bti034|
|Abstract:||Motivation: Grid computing is used to solve large-scale bioinformatics problems with gigabytes database by distributing the computation across multiple platforms. Untill 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. © The Author 2004. Published by Oxford University Press. All rights reserved.|
|Appears in Collections:||Staff Publications|
Show full item record
Files in This Item:
There are no files associated with this item.
checked on Jul 17, 2018
WEB OF SCIENCETM
checked on Jul 9, 2018
checked on Jul 7, 2018
Items in DSpace are protected by copyright, with all rights reserved, unless otherwise indicated.