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Journal of Theoretical Biology|January 12, 2022
Evolution of enzyme levels in metabolic pathways: A theoretical approach. Part 1Charlotte Coton, Grégoire Talbot, Maud Le Louarn, et al.
Plos Computational Biology|July 15, 2021
Data integration uncovers the metabolic bases of phenotypic variation in yeastMarianyela Sabina Petrizzelli, Dominique de Vienne, Thibault Nidelet, et al.
BMC Evolutionary Biology|December 24, 2009
Niche-driven evolution of metabolic and life-history strategies in natural and domesticated populations of Saccharomyces cerevisiaeAymé Spor, Thibault Nidelet, Jonattan Simon, et al.
Plos Biology|April 25, 2019
Nonlinear phenotypic variation uncovers the emergence of heterosis in Arabidopsis thalianaFrançois Vasseur, Louise Fouqueau, Dominique de Vienne, et al.
International Journal of Food Microbiology|June 26, 2010
Hierarchical Bayesian Modelling for Saccharomyces cerevisiae population dynamicsAymé Spor, Christine Dillmann, Shaoxiao Wang, et al.
European Journal of Biochemistry|November 25, 2004
An extension to the metabolic control theory taking into account correlations between enzyme concentrationsSébastien Lion, Frédéric Gabriel, Bruno Bost, et al.
Proteomics|July 27, 2012
Including shared peptides for estimating protein abundances: a significant improvement for quantitative proteomicsMélisande Blein-Nicolas, Hao Xu, Dominique de Vienne, et al.
Applied and Environmental Microbiology|November 16, 2010
Switch between life history strategies due to changes in glycolytic enzyme gene dosage in Saccharomyces cerevisiaeShaoxiao Wang, Aymé Spor, Thibault Nidelet, et al.
Applied and Environmental Microbiology|March 2, 2011
Population size drives industrial Saccharomyces cerevisiae alcoholic fermentation and is under genetic controlWarren Albertin, Philippe Marullo, Michel Aigle, et al.
Proteomics|June 29, 2004
Assessing factors for reliable quantitative proteomics based on two-dimensional gel electrophoresisJulie Fiévet, Christine Dillmann, Gilles Lagniel, et al.
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