swMATH ID: 15114
Software Authors: Terfve, C. D. A.; Cokelaer, T.; Henriques, D.; Macnamara, A.; Gonçalves, E.; Morris, M.; Van Iersel, M.; Lauffenburger, D. A.; Saez-Rodriguez, J.
Description: CellNOpt (from CellNetOptimizer; a.k.a. CNO) is a software used for creating logic-based models of signal transduction networks using different logic formalisms (Boolean, Fuzzy, or differential equations). CellNOpt uses information on signaling pathways encoded as a Prior Knowledge Network, and trains it against high-throughput biochemical data to create cell-specific models. CellNOpt is freely available under GPL license in R and Matlab languages. It can be also accessed through a python wrapper, and a Cytoscape plugin called CytoCopter provides a graphical user interface. CellNOpt is mainly developed at the Saez-Rodriguez group at the European Bioinformatics Institute (EBI). The project started at the groups of Peter Sorger (Harvard Medical School) and Doug Lauffenburger (M.I.T.). There is a group of CellNOpt developers at different locations.
Homepage: http://www.cellnopt.org/
Related Software: R; BoolNet; Graphviz; CellNOpt; KEGG; Pint; BioLQM; PyBoolNet; usefun; MaBoSS; emba; PANET; CANA; Python; booleannet; jPar; AMIGO; Matlab; MEIGO; miRNet
Cited in: 2 Publications
Further Publications: http://www.cellnopt.org/literature.html

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