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Published in:   Vol. 5 Issue 1 Date of Publication:   June 2016

Genomic Sequence Analysis Framework with Visual Representation using Progressive Alignment Algorithm

B.Lavanya,Aafreen Nawresh. A

Page(s):   22-24 ISSN:   2278-2397
DOI:   10.20894/IJWT. Publisher:   Integrated Intelligent Research (IIR)

Biological data sets are categorized into sequence and structured data sets. Sequence data sets are associated to nucleic acid sequences and protein sequences whereas on the other hand structured data sets is related to Proteins. The main purpose of this work is to find out the potential genes involved in Ovarian Cancer and to compare the sequences with selective number of sequences and represent their similarity and differences in percentage using pie-chart, which enables the clear visualization of their similarity ratio. Procedure applied here is to first collect the genomic sequence, retrieve the sequences, encode the genes, apply progressive alignment algorithm on the encoded genes, develop the tool and perform implementation, decode the genes and finally view result as pie-chart.