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Towards the identification of regulatory networks using statistical and information theoretical methods on the mammalian transcriptome

URN to cite this document: urn:nbn:de:bvb:355-epub-132049

Lutter, Dominik Ralph Lionel (2010) Towards the identification of regulatory networks using statistical and information theoretical methods on the mammalian transcriptome. PhD, Universität Regensburg

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Abstract (English)

Our comprehension of the genetic machinery regulating the expression of thousands of different genes controlling cell differentiation or responding to various external signals is still highly incomplete. Furthermore, recently discovered regulatory mechanisms like those mediated by microRNAs expand our knowledge but also add an additional layer of complexity. Since all genes are primarily ...

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Translation of the abstract (German)

Unser Verständnis der Kontrolle der genetischen Aktivität von Säugetierzellen ist bislang äußerst lückenhaft. Insbesondere die Regulierung der differentiellen Genexpression, ausgelöst durch externe oder interne Stimuli sind weitgehend unbekannt. Dazu kommt, dass immer neue Mechanismen auf unterschiedlichen Ebene entdeckt werden, wie z.B. die translationelle Inhibition durch nichtcodierende ...

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Item Type:Thesis of the University of Regensburg (PhD)
Date:20 April 2010
Referee:Prof. Dr. Elmar W. Lang and Prof. Dr. Fabian J. Theis and Prof. Dr. Reinhard Sterner
Date of exam:9 November 2009
Institutions:Medicine > Lehrstuhl für Klinische Chemie und Laboratoriumsmedizin
Biology, Preclinical Medicine > Institut für Biophysik und physikalische Biochemie > Prof. Dr. Elmar Lang
Biology, Preclinical Medicine > Institut für Biophysik und physikalische Biochemie > Prof. Dr. Elmar Lang > Arbeitsgruppe Dr. Fabian Theis
Keywords:Gene expression analysis, Independent Component Analysis (ICA), clustering, microRNA, miRNA, monocytes, macrophages, microarrays, time course, cell differentation, systems biology, bioinformatics
Subjects:500 Science > 570 Life sciences
Status:Published
Refereed:Yes, this version has been refereed
Created at the University of Regensburg:Yes
Owner: Universitätsbibliothek Regensburg
Deposited On:20 Apr 2010 13:22
Last Modified:13 Mar 2014 13:09
Item ID:13688
Owner Only: item control page

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