dc.contributor.advisor | Hetland, Magnus Lie | nb_NO |
dc.contributor.advisor | Sætrom, Pål | nb_NO |
dc.contributor.author | Steiro, Espen | nb_NO |
dc.date.accessioned | 2014-12-19T13:38:00Z | |
dc.date.available | 2014-12-19T13:38:00Z | |
dc.date.created | 2011-11-04 | nb_NO |
dc.date.issued | 2011 | nb_NO |
dc.identifier | 454074 | nb_NO |
dc.identifier | ntnudaim:5726 | nb_NO |
dc.identifier.uri | http://hdl.handle.net/11250/252694 | |
dc.description.abstract | This paper touches on several different aspects in the field of bioinformatics.Some of the challenges facing the bioinformatics community will be discussedalong with why these challenges still need a lot of research. How has thischanged the last few years with the respect to the Next-Generation Sequencingtools that have become available. There has been done a lot of research thelast few year on programs to handle the increase in amount of data generatedwith the NGS tools. But has this been successful or are the biggestbreakthroughs still a head? How can the relatively new programs be improved todeal with the varying problems that occur when dealing with these types of data.The results from the initial research will be used to describe how an automatedsystem can improve performance and user friendliness of quite advancedprograms. And how this can help researcher when working on data that can not beproven correct. | nb_NO |
dc.language | eng | nb_NO |
dc.publisher | Institutt for datateknikk og informasjonsvitenskap | nb_NO |
dc.subject | ntnudaim:5726 | no_NO |
dc.subject | MIT informatikk | no_NO |
dc.subject | Komplekse datasystemer | no_NO |
dc.title | Mapping next generation sequence data - existing methods and a new non-coding RNA pipeline | nb_NO |
dc.type | Master thesis | nb_NO |
dc.source.pagenumber | 22 | nb_NO |
dc.contributor.department | Norges teknisk-naturvitenskapelige universitet, Fakultet for informasjonsteknologi, matematikk og elektroteknikk, Institutt for datateknikk og informasjonsvitenskap | nb_NO |