Bioinformatics Vol. 19 no. 3 2003
Pages 336-344
© 2003 Oxford University Press
JOBIM Paper |
Genetic Network Analyzer: qualitative simulation of genetic regulatory networks
1 INRIA Rhône-Alpes, 655 avenue de lEurope,
Montbonnot, 38334 Saint Ismier CEDEX, France
2 PEGM, Université Joseph Fourier, Grenoble
3 ESA, Université Pierre Mendès France, Grenoble
Received on February 1, 2002
; revised on June 5, 2002
; accepted on August 12, 2002
Motivation: The study of genetic regulatory networks has received a major impetus from the recent development of experimental techniques allowing the measurement of patterns of gene expression in a massively parallel way. This experimental progress calls for the development of appropriate computer tools for the modeling and simulation of gene regulation processes.
Results: We present Genetic Network Analyzer (GNA), a computer tool for the modeling and simulation of genetic regulatory networks. The tool is based on a qualitative simulation method that employs coarse-grained models of regulatory networks. The use of GNA is illustrated by a case study of the network of genes and interactions regulating the initiation of sporulation in Bacillus subtilis.
Availability: GNA and the model of the sporulation network are available at http://www-helix.inrialpes.fr/gna
Contact: Hidde.de-Jong{at}inrialpes.fr
* To whom correspondence should be addressed.
![]()
CiteULike
Connotea
Del.icio.us What's this?
This article has been cited by other articles:
![]() |
T. J. PERKINS The Gap Gene System of Drosophila melanogaster: Model-Fitting and Validation Ann. N.Y. Acad. Sci., December 1, 2007; 1115(1): 116 - 131. [Abstract] [Full Text] [PDF] |
||||
![]() |
L. J. Steggles, R. Banks, O. Shaw, and A. Wipat Qualitatively modelling and analysing genetic regulatory networks: a Petri net approach Bioinformatics, February 1, 2007; 23(3): 336 - 343. [Abstract] [Full Text] [PDF] |
||||
![]() |
H. de Jong and D. Ropers Strategies for dealing with incomplete information in the modeling of molecular interaction networks Brief Bioinform, December 1, 2006; 7(4): 354 - 363. [Abstract] [Full Text] [PDF] |
||||
![]() |
J. S. Verducci, V. F. Melfi, S. Lin, Z. Wang, S. Roy, and C. K. Sen Microarray analysis of gene expression: considerations in data mining and statistical treatment Physiol Genomics, May 16, 2006; 25(3): 355 - 363. [Abstract] [Full Text] [PDF] |
||||
![]() |
R. Barriot, J. Poix, A. Groppi, A. Barre, N. Goffard, D. Sherman, I. Dutour, and A. de Daruvar New strategy for the representation and the integration of biomolecular knowledge at a cellular scale Nucleic Acids Res., July 7, 2004; 32(12): 3581 - 3589. [Abstract] [Full Text] [PDF] |
||||




