Inference of quantitative models of bacterial promoters from time-series reporter gene data.

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Bibliographic Details
Title:	Inference of quantitative models of bacterial promoters from time-series reporter gene data.
Authors:	Stefan D; INRIA Grenoble - Rhône-Alpes, Grenoble, France; Laboratoire Interdisciplinaire de Physique (LIPhy, CNRS UMR 5588), Université Joseph Fourier, Grenoble, France., Pinel C; INRIA Grenoble - Rhône-Alpes, Grenoble, France; Laboratoire Interdisciplinaire de Physique (LIPhy, CNRS UMR 5588), Université Joseph Fourier, Grenoble, France., Pinhal S; INRIA Grenoble - Rhône-Alpes, Grenoble, France; Laboratoire Interdisciplinaire de Physique (LIPhy, CNRS UMR 5588), Université Joseph Fourier, Grenoble, France., Cinquemani E; INRIA Grenoble - Rhône-Alpes, Grenoble, France., Geiselmann J; INRIA Grenoble - Rhône-Alpes, Grenoble, France; Laboratoire Interdisciplinaire de Physique (LIPhy, CNRS UMR 5588), Université Joseph Fourier, Grenoble, France., de Jong H; INRIA Grenoble - Rhône-Alpes, Grenoble, France.
Source:	PLoS computational biology [PLoS Comput Biol] 2015 Jan 15; Vol. 11 (1), pp. e1004028. Date of Electronic Publication: 2015 Jan 15 (Print Publication: 2015).
Publication Type:	Journal Article; Research Support, Non-U.S. Gov't
Journal Info:	Publisher: Public Library of Science Country of Publication: United States NLM ID: 101238922 Publication Model: eCollection Cited Medium: Internet ISSN: 1553-7358 (Electronic) Linking ISSN: 1553734X NLM ISO Abbreviation: PLoS Comput Biol Subsets: MEDLINE
Database:	MEDLINE Ultimate

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ISSN:	1553-7358
DOI:	10.1371/journal.pcbi.1004028