J
Johannes Geiselmann
Researcher at University of Grenoble
Publications - 64
Citations - 3924
Johannes Geiselmann is an academic researcher from University of Grenoble. The author has contributed to research in topics: Gene & Transcription (biology). The author has an hindex of 34, co-authored 63 publications receiving 3663 citations. Previous affiliations of Johannes Geiselmann include French Institute for Research in Computer Science and Automation & Joseph Fourier University.
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Journal ArticleDOI
Qualitative Simulation of Genetic Regulatory Networks Using Piecewise-Linear Models
Hidde de Jong,Jean-Luc Gouzé,Céline Hernandez,Michel Page,Michel Page,Tewfik Sari,Johannes Geiselmann +6 more
TL;DR: Given a qualitative model of a genetic regulatory network, consisting of a system of PL differential equations and inequality constraints on the parameter values, the method produces a graph of qualitative states and transitions between qualitative states, summarizing the qualitative dynamics of the system.
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Improvement of pCVD442, a suicide plasmid for gene allele exchange in bacteria.
Nadège Philippe,Jean-Pierre Alcaraz,Evelyne Coursange,Johannes Geiselmann,Dominique Schneider +4 more
TL;DR: It is demonstrated that this new vector can be easily used to introduce various types of mutations into different genetics backgrounds: removal of IS elements, introduction of point mutations or deletions, and can be introduced into bacterial strains by either transformation or conjugation.
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Genetic Network Analyzer: qualitative simulation of genetic regulatory networks.
TL;DR: The tool is based on a qualitative simulation method that employs coarse-grained models of regulatory networks and illustrated by a case study of the network of genes and interactions regulating the initiation of sporulation in Bacillus subtilis.
Journal ArticleDOI
Validation of qualitative models of genetic regulatory networks by model checking: analysis of the nutritional stress response in Escherichia coli
Gregory Batt,Delphine Ropers,Hidde de Jong,Johannes Geiselmann,Radu Mateescu,Michel Page,Dominique Schneider +6 more
TL;DR: The model-validation approach has been applied to the analysis of the network controlling the nutritional stress response in Escherichia coli and is supported by a new version of the computer tool Genetic Network Analyzer (GNA).
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Shared control of gene expression in bacteria by transcription factors and global physiology of the cell.
Sara Berthoumieux,Hidde de Jong,Guillaume Baptist,Guillaume Baptist,Corinne Pinel,Corinne Pinel,Caroline Ranquet,Caroline Ranquet,Delphine Ropers,Johannes Geiselmann,Johannes Geiselmann +10 more
TL;DR: The results show that the transcriptional response of the network is controlled by the physiological state of the cell and the signaling metabolite cyclic AMP (cAMP), suggesting that they are not the main coordinators of gene expression changes during growth transitions, but rather that they complement the effect of global physiological control mechanisms.