Skip Navigation


Bioinformatics Advance Access originally published online on September 23, 2004
Bioinformatics 2005 21(6):794-802; doi:10.1093/bioinformatics/bti034
This Article
Right arrow Full Text Freely available
Right arrow FREE Full Text (Print PDF) Freely available
Right arrow All Versions of this Article:
21/6/794    most recent
bti034v1
Right arrow Comments: Submit a response
Right arrow Alert me when this article is cited
Right arrow Alert me when Comments are posted
Right arrow Alert me if a correction is posted
Services
Right arrow Email this article to a friend
Right arrow Similar articles in this journal
Right arrow Similar articles in ISI Web of Science
Right arrow Similar articles in PubMed
Right arrow Alert me to new issues of the journal
Right arrow Add to My Personal Archive
Right arrow Download to citation manager
Right arrow Search for citing articles in:
ISI Web of Science (2)
Right arrowRequest Permissions
Google Scholar
Right arrow Articles by Teo, Y.-M.
Right arrow Articles by Ng, Y.-K.
Right arrow Search for Related Content
PubMed
Right arrow PubMed Citation
Right arrow Articles by Teo, Y.-M.
Right arrow Articles by Ng, Y.-K.
Social Bookmarking
Add to CiteULike   Add to Connotea   Add to Del.icio.us  
What's this?

© The Author 2004. Published by Oxford University Press. All rights reserved. For Permissions, please email: journals.permissions{at}oupjournals.org

GLAD: a system for developing and deploying large-scale bioinformatics grid

Yong-Meng Teo 1,2,*, Xianbing Wang 1,2 and Yew-Kwong Ng 1

1Department of Computer Science, National University of Singapore Singapore 117543
2Singapore-MIT Alliance Singapore 117576

*To whom correspondence should be addressed.

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.

Availability: GLAD and ALiCE are available at http://www.comp.nus.edu.sg/~teoym/alice.htm

Contact: teoym{at}comp.nus.edu.sg


Add to CiteULike CiteULike   Add to Connotea Connotea   Add to Del.icio.us Del.icio.us    What's this?




Disclaimer: Please note that abstracts for content published before 1996 were created through digital scanning and may therefore not exactly replicate the text of the original print issues. All efforts have been made to ensure accuracy, but the Publisher will not be held responsible for any remaining inaccuracies. If you require any further clarification, please contact our Customer Services Department.