Mathematical modelling of microbes: metabolism, gene expression and growth by Hidde de Jong et al.
The Csr system regulates Escherichia coli fitness by controlling glycogen accumulation and energy levels by Manon Morin et al.
Estimation of time-varying growth, uptake and excretion rates from dynamic metabolomics data by Eugenio Cinquemani et al.
“Resource reallocation in bacteria by reengineering the gene expression machinery” by Hidde de Jong et al.
“Dynamical allocation of cellular resources as an optimal control problem: Novel insights into microbial growth strategies” by Nils Giordano et al.
“The post-transcriptional regulatory system CSR controls the balance of metabolic pools in upper glycolysis of Escherichia coli” by Manon Morin et al.
“What population reveals about individual cell identity: Single-cell parameter estimation of models of gene expression in yeast” by Artémis Llamosi, Andres Gonzales-Vargas et al.
“A synthetic growth switch based on controlled expression of RNA polymerase” by Jérôme Izard, Cindy Gomez Baldaras et al., reporting on a result obtained in the RESET project.
The paper “Robust reconstruction of gene expression profiles from reporter gene data using linear inversion” by Valentin Zulkower et al. appears in the special issue of Bioinformatics devoted to the ISMB/ECCB 2015 conference.