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dc.contributor.advisorKlein, Jornnb_NO
dc.contributor.authorNoreen, Saadianb_NO
dc.date.accessioned2014-12-19T14:18:58Z
dc.date.available2014-12-19T14:18:58Z
dc.date.created2013-11-21nb_NO
dc.date.issued2013nb_NO
dc.identifier665966nb_NO
dc.identifier.urihttp://hdl.handle.net/11250/263659
dc.description.abstractBackground: Acute respiratory tract infection is common illness of human with significant morbidity and mortality. In pediatrics, viruses are the major cause if this illness. There is an imperative need to develop a diagnostic tool to measure viral diversity for preventing contraproductive treatments. This present study focuses on  evaluating viruses from clinical samples of respiratory tract infection by using advanced diagnostic method such as microarray technology. Methods: Target was amplified using random amplification. Indirect method of hybridization was used to fluorescently label target with Cy3. A previously developed  LLMDA subarray 2 (GPL13407) was demonstrated as detectichip. This chip comprise of 58,000 probes. The detectichip was designed by Agilent technologies. Samples  were hybridized on this chip. The resulting fluorescent produce after hybridization was explored and digitized using gene pix pro software. Data was normalized with two methods named as 1) within array control method 2) with whole negative control array. Log 2 fold change was calculated. Significant testing was also performed. Detecti V software was used to perform these tasks. Results: Detected viral species were arranged according to their log2 fold change. The higher log 2 fold change indicated the abundance of viral species in sample. More over graphs and figures were also drawn to indicate the detection of viral species. Significant testing indicates the presence of high level viral families according to their p-value and t testing. Conclusion: Detectichip can successfully characterize viruses frequently found in clinical samples. By applying both normalization method it can be stated that this detectichip able to identify broad spectrum of viral family, viral species, bacteriophages, plant virus. The likely viral RTI were adenovirus, influenza virus, rhino virus.  The rare virus associated with RTI was human papilloma virus and mammalian orthoreovirus. This chip confirms that in sample 1 adenoviridae family was significantly present where as in sample 2 the likely specie is Influenza .nb_NO
dc.languageengnb_NO
dc.publisherNorges teknisk-naturvitenskapelige universitet, Det medisinske fakultet, Institutt for kreftforskning og molekylær medisinnb_NO
dc.titleCharacterizing viral diversity in Respiratory tract infection: Emphasizing on Microarray technology as genomic sensor in clinical diagnosisnb_NO
dc.typeMaster thesisnb_NO
dc.contributor.departmentNorges teknisk-naturvitenskapelige universitet, Det medisinske fakultet, Institutt for kreftforskning og molekylær medisinnb_NO


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