Condor-COPASI: high-throughput computing for biochemical networks.
Condor-COPASI: high-throughput computing for biochemical networks.
复制标题
DOI:
10.1186/1752-0509-6-91
复制
发表时间:
2012-07-26
影响因子:
--
通讯作者:
Mendes P
中科院分区:
文献类型:
--
作者:
Kent E;Hoops S;Mendes P
Mathematical modelling has become a standard technique to improve our understanding of complex biological systems. As models become larger and more complex, simulations and analyses require increasing amounts of computational power. Clusters of computers in a high-throughput computing environment can help to provide the resources required for computationally expensive model analysis. However, exploiting such a system can be difficult for users without the necessary expertise. We present Condor-COPASI, a server-based software tool that integrates COPASI, a biological pathway simulation tool, with Condor, a high-throughput computing environment. Condor-COPASI provides a web-based interface, which makes it extremely easy for a user to run a number of model simulation and analysis tasks in parallel. Tasks are transparently split into smaller parts, and submitted for execution on a Condor pool. Result output is presented to the user in a number of formats, including tables and interactive graphical displays. Condor-COPASI can effectively use a Condor high-throughput computing environment to provide significant gains in performance for a number of model simulation and analysis tasks. Condor-COPASI is free, open source software, released under the Artistic License 2.0, and is suitable for use by any institution with access to a Condor pool. Source code is freely available for download at http://code.google.com/p/condor-copasi/, along with full instructions on deployment and usage.
登录
查看更多内容
影响因子:
5.8
作者:
Olivier, BG;Snoep, JL
通讯作者:
Snoep, JL
影响因子:
5.8
作者:
Hucka, M;Finney, A;Wang, J
通讯作者:
Wang, J
影响因子:
3
作者:
Li P;Dada JO;Jameson D;Spasic I;Swainston N;Carroll K;Dunn W;Khan F;Malys N;Messiha HL;Simeonidis E;Weichart D;Winder C;Wishart J;Broomhead DS;Goble CA;Gaskell SJ;Kell DB;Westerhoff HV;Mendes P;Paton NW
通讯作者:
Paton NW
DOI:
10.1126/science.1164860
发表时间:
2009-04-10
期刊:
Science (New York, N.Y.)
影响因子:
--
作者:
Ashall L;Horton CA;Nelson DE;Paszek P;Harper CV;Sillitoe K;Ryan S;Spiller DG;Unitt JF;Broomhead DS;Kell DB;Rand DA;Sée V;White MR
通讯作者:
White MR
影响因子:
2.9
作者:
NASH, SG
通讯作者:
NASH, SG