Searching for authors named "Delphine Ropers" – sorted by Relevance.
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KOALAB: A new method for regulatory motif search
- Discovering heterogeneous regulatory motifs remains a difficult problem in biological sequence analysis. In this context, statistical learning or pattern search techniques on their own have shown some limitations. However, significant benefits can be taken from their complementarity. We selected two
- Cited by 3 (0 self) – Add To MetaCart
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Qualitative analysis and verification of hybrid models of genetic regulatory networks: Nutritional stress response in Escherichia coli
- Abstract. The switch-like character of the dynamics of genetic regulatory networks has attracted much attention from mathematical biologists and researchers on hybrid systems alike. We extend our previous work on a method for the qualitative analysis of hybrid models of genetic regulatory networks,
- Cited by 10 (3 self) – Add To MetaCart
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Multiscale modeling of alternative splicing regulation
- Abstract. Alternative splicing is a key process in post-transcriptional regulation, by which several kinds of mature RNA can be obtained from the same premessenger RNA. Using a constraint programming approach, we model the alternative splicing regulation at different scales (single site vs. multiple
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Validation of qualitative models of genetic regulatory networks by model checking: Analysis of the nutritional stress response in Escherichia coli
- The functioning and development of living organisms is controlled by large and complex networks of genes, proteins, small molecules, and their mutual interactions, so-called genetic regulatory networks. In order to gain an understanding of how the behavior of an organism – e.g., the response of a
- Cited by 18 (8 self) – Add To MetaCart
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D.: Analysis and verification of qualitative models of genetic regulatory networks: A model-checking approach
- Methods developed for the qualitative simulation of dynamical systems have turned out to be powerful tools for studying genetic regulatory networks. A bottleneck in the application of these methods is the analysis of the simulation results. In this paper, we propose a combination of qualitative simu
- Cited by 2 (0 self) – Add To MetaCart

