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dc.contributor.advisorMitra, Debasis
dc.contributor.authorSamant, Gandhali P.
dc.contributor.authorMitra, Debasis
dc.date.accessioned2013-11-13T15:23:52Z
dc.date.available2013-11-13T15:23:52Z
dc.date.issued2006-02-16
dc.identifier.citationSamant, G.P., Mitra, D. (2006). Correlogram method for comparing bio-sequences (CS-2006-01). Melbourne, FL. Florida Institute of Technology.en_US
dc.identifier.otherCS-2006-01
dc.identifier.urihttp://hdl.handle.net/11141/153
dc.descriptionContent of a Master’s Thesis submitted to Florida Institute of Technology In partial fulfillment of the requirements for the degree of Master of Science in Computer Scienceen_US
dc.description.abstractSequence comparison is one of the most primitive operations used in bio-informatics. It is used as a basis for many other complex manipulations in the field of Computational Molecular Biology. Many methods and algorithms were developed to compare and align sequences effectively. Most of these methods use linear comparison and some standard scoring schemes to calculate the similarity between sequences. We described an alternative approach to compare sequences based on the correlogram method. This method has already been used in the past for comparing images. By using the correlogram method, a sequence is projected on a 3-D space and the difference between two sequences is calculated. This research describes construction of a correlogram and how correlograms can be used for sequence comparison. It also adds additional functionality to the basic correlogram method. Experiments with protein sequences corresponding to different strains of influenza virus and parvo virus will be described and the phylogeny/evolutionary trees constructed using the correlogram method will be compared, with the ones available in literature.en_US
dc.language.isoen_USen_US
dc.rightsCopyright held by authors.en_US
dc.titleCorrelogram method for comparing bio-sequencesen_US
dc.typeTechnical Reporten_US


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