dc.contributor.advisor | Halaas, Arne | nb_NO |
dc.contributor.advisor | Sandve, Geir Kjetil | nb_NO |
dc.contributor.author | Lekang, Øystein | nb_NO |
dc.date.accessioned | 2014-12-19T13:33:26Z | |
dc.date.available | 2014-12-19T13:33:26Z | |
dc.date.created | 2010-09-04 | nb_NO |
dc.date.issued | 2006 | nb_NO |
dc.identifier | 348386 | nb_NO |
dc.identifier | ntnudaim:1315 | nb_NO |
dc.identifier.uri | http://hdl.handle.net/11250/251115 | |
dc.description.abstract | Many 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.language | eng | nb_NO |
dc.publisher | Institutt for datateknikk og informasjonsvitenskap | nb_NO |
dc.subject | ntnudaim | no_NO |
dc.subject | SIF2 datateknikk | no_NO |
dc.subject | Komplekse datasystemer | no_NO |
dc.title | Flexible Discovery of Modules with Distance Constraints | nb_NO |
dc.type | Master thesis | nb_NO |
dc.source.pagenumber | 71 | nb_NO |
dc.contributor.department | Norges teknisk-naturvitenskapelige universitet, Fakultet for informasjonsteknologi, matematikk og elektroteknikk, Institutt for datateknikk og informasjonsvitenskap | nb_NO |