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dc.contributor.advisorHalaas, Arnenb_NO
dc.contributor.advisorSandve, Geir Kjetilnb_NO
dc.contributor.authorLekang, Øysteinnb_NO
dc.date.accessioned2014-12-19T13:33:26Z
dc.date.available2014-12-19T13:33:26Z
dc.date.created2010-09-04nb_NO
dc.date.issued2006nb_NO
dc.identifier348386nb_NO
dc.identifierntnudaim:1315nb_NO
dc.identifier.urihttp://hdl.handle.net/11250/251115
dc.description.abstractMany authors argue that finding single transcription factor binding sites is not enough to be able to make predictions with regard to regulation in eukaryotic genes, as is the case with simpler prokaryotes. With eukaryotes combinations of transctiption factors must be modeled as a composite motif or module. In some cases even with a restriction on distance between individual sites, or within the module. Create a module discovery tool capable of using both deterministic patterns and position weight matrices as input, that can impose restrictions on distance. Use the tool for module discovery and evaluate the results.nb_NO
dc.languageengnb_NO
dc.publisherInstitutt for datateknikk og informasjonsvitenskapnb_NO
dc.subjectntnudaimno_NO
dc.subjectSIF2 datateknikkno_NO
dc.subjectKomplekse datasystemerno_NO
dc.titleFlexible Discovery of Modules with Distance Constraintsnb_NO
dc.typeMaster thesisnb_NO
dc.source.pagenumber71nb_NO
dc.contributor.departmentNorges teknisk-naturvitenskapelige universitet, Fakultet for informasjonsteknologi, matematikk og elektroteknikk, Institutt for datateknikk og informasjonsvitenskapnb_NO


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