

{"id":53,"date":"2013-01-21T10:21:37","date_gmt":"2013-01-21T09:21:37","guid":{"rendered":"https:\/\/project.inria.fr\/reset\/?page_id=53"},"modified":"2017-08-30T16:51:06","modified_gmt":"2017-08-30T14:51:06","slug":"publications","status":"publish","type":"page","link":"https:\/\/project.inria.fr\/reset\/publications\/","title":{"rendered":"Publications"},"content":{"rendered":"<p><\/p>\n<ul>\n<li>A. Carta, M. Chaves, J.-L. Gouz\u00e9 (2015). Continuous-switch piecewise quadratic models of biological networks: Application to bacterial growth. <em>Automatica<\/em>, 61:164-172<\/li>\n<li>M. Chaves, A. Carta (2015). Attractor computation using interconnected boolean networks: testing growth rate models in <em>E. coli<\/em>. <em>Theor Comput Sci<\/em>, 599:47-63<\/li>\n<li>E. Cinquemani, V. Laroute, M. Cocaign-Bousquet, H. de Jong, D. Ropers (2017). Estimation of time-varying growth, uptake and excretion rates from dynamic metabolomics data. <em>Bioinformatics<\/em>, 33(14):i301-i310<\/li>\n<li>H. de Jong, D. Ropers, J. Geiselmann (2017). Resource reallocation in bacteria by reengineering the geneexpression machinery. <em>Trends Microbiol<\/em>, 25(6):480-493<\/li>\n<li>N. Giordano, F. Mairet, J.-L. Gouz\u00e9, J. Geiselmann, H. de Jong (2016). Dynamical allocation of cellular resources as an optimal control problem: Novel insights into microbial growth strategies. <em>PLoS Comput. Biol.<\/em>, 12(3): e1004802<\/li>\n<li>A. Henry, .O.C. Martin (2016). Short relaxation times but long transient times in both simple and complex reaction networks. <em>J R Soc Interface<\/em>, 13(120):20160388<\/li>\n<li>J. Izard, C. Gomez Balderas, D. Ropers, S. Lacour, X. Song, Y. Yang, A.B. Lindner, J. Geiselmann, H. de Jong (2015). A synthetic growth switch based on controlled expression of RNA polymerase. <em>Mol. Syst. Biol.<\/em>, 11(11):840<\/li>\n<li>A. Kremling, J. Geiselmann, D. Ropers, H. de Jong (2015). Understanding carbon catabolite repression in <em>Escherichia coli<\/em> using quantitative models. <em>Trends Microbiol<\/em>, 23(2):99-109<\/li>\n<li>I. Mihalcescu, M. Van Melle &#8211; Gateau, B. Chelli, C. Pinel, J.L. Ravanat (2015). Green autofluorescence, a double edged monitoring tool for bacterial growth and activity in micro-plates. <em>Phys. Biol.<\/em>, 12(6):066016<\/li>\n<li>M. Morin, D. Ropers, F. Letisse, S. Laguerre, J.C. Portais, M. Cocaign-Bousquet, B. Enjalbert (2016). The post-transcriptional regulatory system CSR controls the balance of metabolic pools in upper glycolysis of <em>Escherichia coli<\/em>. <em>Mol. Microbiol, <\/em>100(4):686-700<em><br \/>\n<\/em><\/li>\n<li>D. Stefan, C. Pinel, S. Pinhal, E. Cinquemani, J. Geiselmann, H. de Jong (2015). Inference of quantitative models of bacterial promoters from time-series reporter gene data. <em>PLoS Comput Biol<\/em>, 11(1):e1004028<\/li>\n<li>M. Trauchessec, M. Jaquinod, A. Bonvalot, V. Brun, C. Bruley, D. Ropers, H. de Jong, J. Garin, G. Bestel-Corre, M. Ferro (2014). Mass spectrometry-based workflow for accurate quantification of <em>E. coli<\/em> enzymes: how proteomics can play a key role in metabolic engineering. <em>Mol Cell Proteom<\/em>, 13(4):954-968.<\/li>\n<li>V. Zulkower, M.\u00a0Page, D. Ropers, J. Geiselmann, H. de Jong (2015). Robust reconstruction of gene expression profiles using linear inversion. <em>Bioinformatics<\/em>, 31(12):i71-i79<\/li>\n<\/ul>\n<p><\/p>","protected":false},"excerpt":{"rendered":"<p>A. Carta, M. Chaves, J.-L. Gouz\u00e9 (2015). Continuous-switch piecewise quadratic models of biological networks: Application to bacterial growth. Automatica, 61:164-172 M. Chaves, A. Carta (2015). Attractor computation using interconnected boolean networks: testing growth rate models in E. coli. Theor Comput Sci, 599:47-63 E. Cinquemani, V. Laroute, M. Cocaign-Bousquet, H. de Jong, D. Ropers (2017). Estimation &hellip; <\/p>\n<p><a class=\"more-link btn\" href=\"https:\/\/project.inria.fr\/reset\/publications\/\">Continue reading<\/a><\/p>\n","protected":false},"author":253,"featured_media":0,"parent":0,"menu_order":5,"comment_status":"open","ping_status":"open","template":"","meta":{"footnotes":""},"class_list":["post-53","page","type-page","status-publish","hentry","nodate","item-wrap"],"_links":{"self":[{"href":"https:\/\/project.inria.fr\/reset\/wp-json\/wp\/v2\/pages\/53","targetHints":{"allow":["GET"]}}],"collection":[{"href":"https:\/\/project.inria.fr\/reset\/wp-json\/wp\/v2\/pages"}],"about":[{"href":"https:\/\/project.inria.fr\/reset\/wp-json\/wp\/v2\/types\/page"}],"author":[{"embeddable":true,"href":"https:\/\/project.inria.fr\/reset\/wp-json\/wp\/v2\/users\/253"}],"replies":[{"embeddable":true,"href":"https:\/\/project.inria.fr\/reset\/wp-json\/wp\/v2\/comments?post=53"}],"version-history":[{"count":6,"href":"https:\/\/project.inria.fr\/reset\/wp-json\/wp\/v2\/pages\/53\/revisions"}],"predecessor-version":[{"id":213,"href":"https:\/\/project.inria.fr\/reset\/wp-json\/wp\/v2\/pages\/53\/revisions\/213"}],"wp:attachment":[{"href":"https:\/\/project.inria.fr\/reset\/wp-json\/wp\/v2\/media?parent=53"}],"curies":[{"name":"wp","href":"https:\/\/api.w.org\/{rel}","templated":true}]}}