COPASI

COPASI
Initial release October 11, 2004; 7 years ago (2004-10-11)
Stable release 4.7 (Build 34) / July 21, 2011; 7 months ago (2011-07-21)
Written in C++
Operating system Linux, Mac OS and Microsoft Windows
Platform Qt
License Artistic license
Website copasi.org

COPASI[1] is an open-source software application for creating and solving mathematical models of biological processes such as metabolic networks, cell-signaling pathways, regulatory networks, infectious diseases, and many others. The name COPASI stands for COmplex PAthway SImulator.

Contents

History

COPASI is based on the GEPASI[2] simulation software that was developed in the early 1990's by Pedro Mendes. The initial development of COPASI was funded by the Virginia Bioinformatics Institute, the Klaus Tschira Foundation, the Biotechnology and Biological Sciences Research Council, and the Engineering and Physical Sciences Research Council. Current development efforts are supported by a grant from the National Institute of Health and the German Ministry of Education.

Development team

COPASI is the result of an international collaboration between the University of Manchester (UK), the University of Heidelberg (Germany), and the Virginia Bioinformatics Institute (USA). The project principal investigators are Pedro Mendes and Ursula Kummer. The chief software architects are Stefan Hoops and Sven Sahle.

Features

COPASI includes features to define models of biological processes, simulate and analyze these models, generate analysis reports, and import/export models in SBML format.

References

  1. ^ Hoops S, Sahle S, Gauges R, Lee C, Pahle J, Simus N, Singhal M, Xu L, Mendes P, Kummer U. (2006). "COPASI—a COmplex PAthway SImulator.". Bioinformatics 22 (24): 3067–74. doi:10.1093/bioinformatics/btl485. PMID 17032683. http://bioinformatics.oxfordjournals.org/content/22/24/3067.long. 
  2. ^ Mendes P (1993). "GEPASI: a software package for modelling the dynamics, steady states and control of biochemical and other systems.". Comput Appl Biosci. 9 (5): 563–71. PMID 8293329. 

External links