Skip Navigation

This Article
Right arrow FREE Full Text (Print PDF) Freely available
Right arrow FREE Full Text (Screen PDF)
Right arrow Alert me when this article is cited
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 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 arrowRequest Permissions
Google Scholar
Right arrow Articles by Micallef, K. P.
Right arrow Articles by Podlich, D. W.
Right arrow Search for Related Content
PubMed
Right arrow PubMed Citation
Right arrow Articles by Micallef, K. P.
Right arrow Articles by Podlich, D. W.
Social Bookmarking
Add to CiteULike   Add to Connotea   Add to Del.icio.us  
What's this?

Bioinformatics Vol. 17 no. 2 2001
Pages 194-195
© 2001 Oxford University Press

Applications Note

Using clusters of computers for large QU-GENE simulation experiments

Kevin P. Micallef *, Mark Cooper and Dean W. Podlich

School of Land and Food Sciences, The University of Queensland, Brisbane, Queensland 4072, Australia

Received on August 17, 2000 ; accepted on October 20, 2000

Summary: The QU-GENE Computing Cluster (QCC) is a hardware and software solution to the automation and speedup of large QU-GENE (QUantitative GENEtics) simulation experiments that are designed to examine the properties of genetic models, particularly those that involve factorial combinations of treatment levels. QCC automates the management of the distribution of components of the simulation experiments among the networked single-processor computers to achieve the speedup.

Contact: k.micallef{at}mailbox.uq.edu.au

Supplementary information: http://pig.ag.uq.edu.au/qu-gene/cluster.htm

* To whom correspondence should be addressed.


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
 GeneticsHome page
J. Peccoud, K. V. Velden, D. Podlich, C. Winkler, L. Arthur, and M. Cooper
The Selective Values of Alleles in a Molecular Network Model Are Context Dependent
Genetics, April 1, 2004; 166(4): 1715 - 1725.
[Abstract] [Full Text] [PDF]

Home page
 Agron. J.Home page
S. Chapman, M. Cooper, D. Podlich, and G. Hammer
Evaluating Plant Breeding Strategies by Simulating Gene Action and Dryland Environment Effects
Agron. J., January 1, 2003; 95(1): 99 - 113.
[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.