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Anne SIEGEL Print
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  Title Research Associate
 
Mail This e-mail address is being protected from spam bots, you need JavaScript enabled to view it
 
Address Symbiose
 
  CNRS - Université de Rennes 1 UMR 6074 - INRIA
IRISA
Campus de Beaulieu
 
  35042 RENNES Cedex - France
 
Tel +33 2 99 84 74 48
 
Fax +33 2 99 84 71 71
 
 Current Position  Researcher at CNRS
 














Research Fields



Dynamical systems at the junction of computer science, biology and mathematics.
  • Bio-informatics :  systems biology;  constraints-programming; hierarchies of models

  • Theoretical computer science/mathematics: symbolic dynamics; self-induced systems; number systems, tilings and discrete geometry.



Research activities



  • French summary of activites   pdf

 

Meetings to be organized




Other activities





  • Dissemination : organization of meetings. bioinformatics seminar (2002-2009). Journée satellite JOBIM (2007-2010). VICANNE program on systems biology (2004-2007). Workshops and conferences on numeration and tiling (2003, 04, 05, 06, 07, 09). [More details]

  • Supervising. Ph-D students : P. Blavy (defense, 2010; co-advised with S. Lagarrigue) ; C. Guziolowski, (defense, 2010), P. Veber (defense, 2008, co-advised with M. Le Borgne). Post-doc : T. Baumuratova (2008-09, co-advised with O. Radulescu), S. Blachon (2008-09, co-advised with O. Radulescu)


Professional history



I am a former student in mathematics at Ecole Normale Supérieure de Lyon (1994-98), allowing me to succeed at the Agregation de mathematics in 1997. I received my Ph-D thesis in 2000 at the math lab (IML) of Université de la Méditerannée in Marseille. My thesis was focused on combinatorial and number-theoretic descriptions of substitutive dynamical systems, supervised by P. Arnoux. In september 2001, I was proposed an assistant professor position (McF) at the laboratory of mathematics in Rennes (IRMAR). Four months later, in 2002, the CNRS offered me a position of research scientist (CR2) at the computer science laboratory of Rennes (IRISA). I joined the bioinformatics group, named the Symbiose team. Since then, I have been conducting researches in both symbolic dynamics (focusing on applications in numeration and discrete geometry) and systems biology. I am now in charge of the subgroup of the symbiose team focused on biological systems . I received my habilitation thesis in mathematics and computer science in 2008 at the university of Rennes 1.



Hints on research activities



My research program mainly consists in identifying and taking benefit of properties of dynamical systems in several domains of mathematics, computer sciences and biology where dynamics appears, even (mainly) if somehow hidden. My job is first to identify questions related to systems trajectories, second to  make use of the properties of these trajectories together with algorithmic computations in order to provides new insights to the domain where the dynamics was exhibited.

In theoretical computer science, this approach allowed me characterizing some properties of expansions of real number in non-integer basis (beta-numeration and Dumont-Thomas substitution system). This also allowed proposing a strategy of generation for discrete plane. Underlying dynamics are additions modulo 1 (toral additions and automorphisms) and fractal geometry.

In bioinformatics, I have been first dealing with biological networks construction, inducing a strong thought on the level of abstraction required to properly modelling biological systems with respect to available data. I also have conducted works on a constraint-based formalism in order to perform confrontations between large-scale data from molecular biology (transcriptomic, chip-chip, CGH)  and knowledge models. Our methodology allows us to introduce dynamical (actually steady states comparisons) in data analysis, by mimic automatic reasoning over variational data. This provides tools for network/influence graphs diagnosis, correction and prediction.

Main results can be summarized as
  • Constraints-based formalism to perform automatic reasoning over large-scale variational data from molecular biology. Validation on E. Coli and S. Cerevisiae networks. Application to EWS-FLI (pediatric Ewing tumor bones) signalling network.
  • Construction of model hierarchies for data interpretation. Applications to the regulations of fatty acid metabolism and the initiation of sea-urchin translation.
  • Graph description of fractal boundaries and topological properties of fractals. Application to Markov partitions for toral automorphisms and purely periodic beta-expansions.
  • Combinatorial rules to iterately build discrete plane in R3.

Additional links



  • Sofware : Bioquali (analysis of compatibilities between an interaction graph and micro-array data) Cytoscape plugin , Web access



 

Symbiose Project Team - INRIA/Irisa © 2007 - 2008