publications

Alain Comtet 1, 2, Satya N. Majumdar 1, Sanjib Sabhapandit 1 Journal of Mathematical Physics, Analysis, Geometry 4 (2008) 24 We provide a variational derivation of the limit shape of minimal difference partitions and discuss the link with exclusion statistics. Also see arXiv:0707.2312 for a related paper. 1. Laboratoire de Physique Théorique et Modèles Statistiques (LPTMS), CNRS : UMR8626 – Université Paris XI – […]

Florent Krzakala 1, Marco Tarzia 2, Lenka Zdeborová 3 Physical Review Letters 101 (2008) 165702 We study a lattice model of attractive colloids. It is exactly solvable on sparse random graphs. As the pressure and temperature are varied it reproduces many characteristic phenomena of liquids, glasses and colloidal systems such as ideal gel formation, liquid-glass phase coexistence, jamming, or the reentrance

Paul Doukhan 1, 2, Gabriel Lang 3, Sana Louhichi 4, Bernard Ycart 5, 6 Markov Processes and Related Fields 14, 1 (2008) 79-114 A finite range interacting particle system on a transitive graph is considered. Assuming that the dynamics and the initial measure are invariant, the normalized empirical distribution process converges in distribution to a centered diffusion process. As an application, a central limit theorem

Félicien SchopferFrançois MalletD. Mailly 1 C. Texier 2, 3 G. Montambaux 3 Christopher Bäuerle 4 Laurent Saminadayar 5 Félicien Schopfer, François Mallet, D. Mailly, C. Texier, G. Montambaux, et al.. Dimensional crossover in quantum networks: from macroscopic to mesoscopic Physics. Physical Review Letters, American Physical Society, 2007, 98, pp.026807. ⟨10.1103/PhysRevLett.98.026807⟩. ⟨hal-00130984⟩ We report on magnetoconductance

S. Ciliberti 1 O. Martin 1, 2 A. Wagner 3 S. Ciliberti, O. Martin, A. Wagner. Robustness Can Evolve Gradually in Complex Regulatory Gene Networks with Varying Topology. PLoS Computational Biology, Public Library of Science, 2007, 3 (2) (2), pp.e15. ⟨10.1371/journal.pcbi.0030015⟩. ⟨hal-00143879⟩ The topology of cellular circuits (the who-interacts-with-whom) is key to understand their robustness

Jan Drouaud 1 Raphaël Mercier 1 Liudmila Chelysheva 1 Aurélie Bérard 2 Matthieu Falque 3 Olivier Martin 3, 4 Vanessa Zanni 5 Dominique Brunel 2 Christine Mezard 1 Jan Drouaud, Raphaël Mercier, Liudmila Chelysheva, Aurélie Bérard, Matthieu Falque, et al.. Sex-Specific Crossover Distributions and Variations in Interference Level along Arabidopsis thaliana Chromosome 4. PLoS Genetics,

Jan Drouaud 1 Raphaël Mercier 1 Liudmila Chelysheva 1 Aurélie Bérard 2 Matthieu Falque 3 Olivier Martin 3, 4 Vanessa Zanni 5 Dominique Brunel 2 Christine Mezard 1 Jan Drouaud, Raphaël Mercier, Liudmila Chelysheva, Aurélie Bérard, Matthieu Falque, et al.. Sex-Specific Crossover Distributions and Variations in Interference Level along Arabidopsis thaliana Chromosome 4. PLoS Genetics,

S. Ciliberti 1 O. Martin 1, 2 A. Wagner 3 S. Ciliberti, O. Martin, A. Wagner. Robustness Can Evolve Gradually in Complex Regulatory Gene Networks with Varying Topology. PLoS Computational Biology, Public Library of Science, 2007, 3 (2) (2), pp.e15. ⟨10.1371/journal.pcbi.0030015⟩. ⟨hal-00143879⟩ The topology of cellular circuits (the who-interacts-with-whom) is key to understand their robustness

Jan Drouaud 1 Raphaël Mercier 1 Liudmila Chelysheva 1 Aurélie Bérard 2 Matthieu Falque 3 Olivier Martin 3, 4 Vanessa Zanni 5 Dominique Brunel 2 Christine Mezard 1 PLoS Genetics, Public Library of Science, 2007, 3 (6), pp.1096-1107. <10.1371/journal.pgen.0030106.eor> In many species, sex-related differences in crossover (CO) rates have been described at chromosomal and regional

Damien M VienneTatiana Giraud 1 Olivier C Martin 2, 3, 4, 5 Bioinformatics, Oxford University Press (OUP), 2007, 23 (23), pp.3119–3124 1. ESE – Ecologie Systématique et Evolution 2. LPTMS – Laboratoire de Physique Théorique et Modèles Statistiques 3. GQE-Le Moulon – Génétique Quantitative et Evolution – Le Moulon (Génétique Végétale) 4. BIOSP – Biostatistique