Skip Navigation


Bioinformatics Advance Access originally published online on November 16, 2004
Bioinformatics 2005 21(7):1284-1287; doi:10.1093/bioinformatics/bti143
This Article
Right arrow Full Text Freely available
Right arrow FREE Full Text (Print PDF) Freely available
Right arrow All Versions of this Article:
21/7/1284    most recent
bti143v1
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 (8)
Right arrowRequest Permissions
Google Scholar
Right arrow Articles by Dhar, P. K.
Right arrow Articles by Hao, Z.
Right arrow Search for Related Content
PubMed
Right arrow PubMed Citation
Right arrow Articles by Dhar, P. K.
Right arrow Articles by Hao, Z.
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

Grid Cellware: the first grid-enabled tool for modelling and simulating cellular processes

Pawan K. Dhar *, Tan Chee Meng , Sandeep Somani , Li Ye , Kishore Sakharkar , Arun Krishnan , Azmi B.M. Ridwan , Sebastian Ho Kok Wah , Mandar Chitre and Zhu Hao

Systems Biology Group, Bioinformatics Institute 30 Biopolis Street, #07-01, Matrix, Singapore 138671

*To whom correspondence should be addressed.

Summary: Modelling and simulation of complex cellular transactions involve development of platforms that understand diverse mathematical representations and are capable of handling large backend computations. Grid Cellware, an integrated modelling and simulation tool, has been developed to precisely address these niche requirements of the modelling community. Grid Cellware implements various pathway simulation algorithms along with adaptive Swarm algorithm for parameter estimation. For enchanced computational productivity Grid Cellware uses grid technology with Globus as the middleware.

Availability: https://www.bii-sg.org/sbg/cellware

Contact: pk{at}bii-sg.org

Supplementary information: User Manual is available as PDF file. Examples are attached to expedite mastering of the software.


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


This article has been cited by other articles:


Home page
 Brief BioinformHome page
J. Pahle
Biochemical simulations: stochastic, approximate stochastic and hybrid approaches
Brief Bioinform, January 16, 2009; (2009) bbn050v1.
[Abstract] [Full Text] [PDF]

Home page
 Brief BioinformHome page
A. Ng, B. Bursteinas, Q. Gao, E. Mollison, and M. Zvelebil
Resources for integrative systems biology: from data through databases to networks and dynamic system models
Brief Bioinform, December 1, 2006; 7(4): 318 - 330.
[Abstract] [Full Text] [PDF]

Home page
 BioinformaticsHome page
Z. Zi and E. Klipp
SBML-PET: a Systems Biology Markup Language-based parameter estimation tool
Bioinformatics, November 1, 2006; 22(21): 2704 - 2705.
[Abstract] [Full Text] [PDF]


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.