Abstract
Modelling frameworks for biological networks are used to reason on the models and their properties. One of the main problems with such modelling frameworks is to determine the dynamics of gene regulatory networks (GRN). Recently, it has been observed in in vivo experiments and in genomic and transcriptomic studies, that spatial information are useful to better understand both the mechanisms and the dynamics of GRN. In this paper we propose to extend the modelling framework of R. Thomas in order to introduce such spatial information between genes, and we will show how these further informations allow us to restrict the number of dynamics to consider.
This work is performed within the European project GENNETEC (STREP 34952).
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Manceny, M., Aiguier, M., Le Gall, P., Hérisson, J., Junier, I., Képès, F. (2009). Spatial Information and Boolean Genetic Regulatory Networks. In: Rajasekaran, S. (eds) Bioinformatics and Computational Biology. BICoB 2009. Lecture Notes in Computer Science(), vol 5462. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-642-00727-9_26
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DOI: https://doi.org/10.1007/978-3-642-00727-9_26
Publisher Name: Springer, Berlin, Heidelberg
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