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dc.contributor.authorKel, Alexander
dc.contributor.authorKonovalova, Tatiana
dc.contributor.authorWaleev, Tagir
dc.contributor.authorCheremushkin, Evgeny
dc.contributor.authorKel-Margoulis, Olga
dc.contributor.authorWingender, Edgar
dc.contributor.editorTorda, Andrew
dc.contributor.editorKurtz, Stefan
dc.contributor.editorRarey, Matthias
dc.date.accessioned2019-08-27T08:22:38Z
dc.date.available2019-08-27T08:22:38Z
dc.date.issued2005
dc.identifier.isbn3-88579-400-4
dc.identifier.issn1617-5468
dc.identifier.urihttp://dl.gi.de/handle/20.500.12116/24941
dc.description.abstractFunctionally related genes involved in the same molecular-genetic, biochemical, or physiological process are often regulated coordinately Such regulation is provided by precisely organized binding of a multiplicity of special proteins (transcription factors) to their target sites (cis-elements) in regulatory regions of genes. Cis-element combinations provide a structural basis for the generation of unique patterns of gene expression. Here we present a new approach for defining promoter models based on composition of transcription factor binding sites and their pairs. We utilize a multicomponent fitness function for selection of that promoter model fitting best to the observed gene expression profile. We demonstrate examples of successful application of the fitness function with the help of a genetic algorithm for the analysis of functionally related or co-expressed genes as well as testing on simulated data.en
dc.language.isoen
dc.publisherGesellschaft für Informatik e.V.
dc.relation.ispartofGerman Conference on Bioinformatics 2005 (GCB 2005)
dc.relation.ispartofseriesLecture Notes in Informatics (LNI) - Proceedings, Volume P-71
dc.titleComposite module analyst: A fitness-based tool for prediction of transcription regulationen
dc.typeText/Conference Paper
dc.pubPlaceBonn
mci.reference.pages63-75
mci.conference.sessiontitleRegular Research Papers
mci.conference.locationHamburg
mci.conference.date5.-7. Oktober 2005


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