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http://dx.doi.org/10.22156/CS4SMB.2018.8.6.201

A Polymorphism Analysis and Visualization Tool for Specific Variation Pattern Identification in Groups of Nucleotide Sequences  

Lee, Il Seop (Department of Computer Science, Chungbuk National University)
Lee, Keon Myung (Department of Computer Science, Chungbuk National University)
Publication Information
Journal of Convergence for Information Technology / v.8, no.6, 2018 , pp. 201-207 More about this Journal
Abstract
A genome contains all genetic information of an organism. Within a specific species, unique traits appear for each individual, which can be identified by analyzing nucleotide sequences. Many Genome-Wide Associations Studies have been carried out to find genetic associations and cause of diseases from slightly different base among the individuals. It is important to identify occurrence of slight variations for polymorphisms of individuals. In this paper, we introduce an analysis and visualization tool for specific variation pattern identification of polymorphisms in nucleotide sequences and show the validity of the tool by applying it to analyzing nucleotide sequences of subcultured pOka strain of varicella-zoster virus. The tool is expected to help efficiently explore allele frequency variations and genetic factors within a species.
Keywords
Visualization; Data analysis; Automation; Single Nucleotide Polymorphism(SNP); Genome-Wide Association Study(GWAS);
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