Expression-based reverse engineering of plant transcriptional networks [Elektronische Ressource] / Federico Manuel Giorgi. Betreuer: Mark Stitt

Max-Planck-Institut für Molekulare Pflanzenphysiologie Arbeitsgruppe Usadel ______________________________________________________________________________ Expression-based Reverse Engineering of Plant Transcriptional Networks Dissertation zur Erlangung des akademischen Grades "doctor rerum naturalium" (Dr. rer. nat.) in der Wissenschaftsdisziplin "Molekulare Pflanzenphysiologie" eingereicht an der Mathematisch-Naturwissenschaftlichen Fakultät der Universität Potsdam von Federico Manuel Giorgi Potsdam, den 28.07.2011 This work is licensed under a Creative Commons License: Attribution - Noncommercial - No Derivative Works 3.0 Unported To view a copy of this license visit http://creativecommons.org/licenses/by-nc-nd/3.0/ Published online at the Institutional Repository of the University of Potsdam: URL http://opus.kobv.de/ubp/volltexte/2011/5676/ URN urn:nbn:de:kobv:517-opus-56760 http://nbn-resolving.de/urn:nbn:de:kobv:517-opus-56760 A big computer, a complex algorithm and a long time does not equal science Robert Gentleman, SSC 2003, Halifax (June 2003) III IV Abstract Regulation of gene transcription plays a major role in mediating cellular responses and physiological behavior in all known organisms.