dc.contributor.advisor | Sætrom, Pål | nb_NO |
dc.contributor.advisor | Drabløs, Finn | nb_NO |
dc.contributor.advisor | Martinek, Tomas | nb_NO |
dc.contributor.author | Visnovsky, Marek | nb_NO |
dc.date.accessioned | 2014-12-19T13:40:40Z | |
dc.date.available | 2014-12-19T13:40:40Z | |
dc.date.created | 2013-10-24 | nb_NO |
dc.date.issued | 2013 | nb_NO |
dc.identifier | 659286 | nb_NO |
dc.identifier | ntnudaim:9926 | nb_NO |
dc.identifier.uri | http://hdl.handle.net/11250/253496 | |
dc.description.abstract | The novel method for a prediction of nucleosome positions in yeast, based on Hidden Markov models extended by duration state modeling, was developed, implemented and tested, using data from Brogaard et al. (Brogaard K, Wang J-P, Widom, J. Nature 486(7404), 496-501 (2012). doi:10.1038/nature11142) for training and testing. Furthermore, several experiments were conducted to derive an importance of various features of nucleosome sequence preferences and global organization. | nb_NO |
dc.language | eng | nb_NO |
dc.publisher | Institutt for datateknikk og informasjonsvitenskap | nb_NO |
dc.title | Prediction and analysis of nucleosome positions in yeast | nb_NO |
dc.type | Master thesis | nb_NO |
dc.source.pagenumber | 61 | nb_NO |
dc.contributor.department | Norges teknisk-naturvitenskapelige universitet, Fakultet for informasjonsteknologi, matematikk og elektroteknikk, Institutt for datateknikk og informasjonsvitenskap | nb_NO |