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dc.contributor.advisorHetland, Magnus Lienb_NO
dc.contributor.advisorSætrom, Pålnb_NO
dc.contributor.authorSteiro, Espennb_NO
dc.date.accessioned2014-12-19T13:38:00Z
dc.date.available2014-12-19T13:38:00Z
dc.date.created2011-11-04nb_NO
dc.date.issued2011nb_NO
dc.identifier454074nb_NO
dc.identifierntnudaim:5726nb_NO
dc.identifier.urihttp://hdl.handle.net/11250/252694
dc.description.abstractThis 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.languageengnb_NO
dc.publisherInstitutt for datateknikk og informasjonsvitenskapnb_NO
dc.subjectntnudaim:5726no_NO
dc.subjectMIT informatikkno_NO
dc.subjectKomplekse datasystemerno_NO
dc.titleMapping next generation sequence data - existing methods and a new non-coding RNA pipelinenb_NO
dc.typeMaster thesisnb_NO
dc.source.pagenumber22nb_NO
dc.contributor.departmentNorges teknisk-naturvitenskapelige universitet, Fakultet for informasjonsteknologi, matematikk og elektroteknikk, Institutt for datateknikk og informasjonsvitenskapnb_NO


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