| What is GINsim for ? |
What is GINsim for ?GINsim (Gene Interaction Network simulation) is a computer tool for the modeling and simulation of genetic regulatory networks.Recent developments in functional genomics have generated large amounts of data on gene expression and on the underlying regulatory mechanisms. This has resulted in the progressive mapping of complex regulatory networks. As these networks usually include numerous intertwined feedback circuits, gaining an understanding of their spatio-temporal behaviour defies the intuition of the biologists. In this respect, formal modelling and simulation tools become a necessary complement to experimental tools. As precise information on molecular mechanisms and the value of kinetic parameters are currently difficult to establish, qualitative methods offer a highly attractive approach to model and analyse essential properties of genetic regulatory networks. General information on the modeling and simulation of genetic regulatory networks can be found in [2]. GINsim consists of a simulator of qualitative models of genetic regulatory networks based on a discrete, logical formalism (see [1]).
GINsim allows the user to specify a model of a genetic regulatory
network in term of asynchronous, multivalued logical functions, and to
simulate and/or analyse its qualitative dynamical behaviour.
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What is GINsim for ? Funding |
FundingDIAMONDS, Data Integration And Modelling: On a New Design to enable Systems biologyFunded by: EU's sixth framework programme - Specific targeted research or innovation projecthttp://www.sbcellcycle.org APO-SYS, An integrated approach of experimental biology, data mining, mathematical modeling, biostatistics, system engineering and molecular medicineFunded by: EU's seventh framework programme - Large scale projecthttp://www.apo-sys.eu/ |
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What is GINsim for ? References |
References
. Qualitative analysis of regulatory graphs: a computational tool based on a discrete formal framework. "First Multidisciplinary International Symposium on Positive Systems: Theory and Applications" (POSTA 2003); Farina (Eds), Springer-Verlag, LNCIS 294:119-126 doi >
. Modeling and simulation of genetic regulatory systems: A literature review. Journal of Computational Biology (2002), 9(1):69-105 |