Identification of Similar H1N1 cases in other parts of the world using SRLCS model Combined with Fuzzy Membership
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Abstract
Influenza Virus Research facilitates the understanding of the Influenza virus and how it interacts with the host organism , leading to new treatments and preventive actions. The pandemic of 2009 , H1N1 influenza was deadly one. A model analysis on H1N1 of 2009 will provide a strategy for future. Using pair wise sequence analysis, the similarity and identity analysis are revealed by the SRLCS Model. Expressing this revelation in a useful form helps in homology analysis or identification of similar pandemic virus occurrences elsewhere. A fuzzy membership calculator places the sequence analysis result in membership form explaining the similarity and homologous relationship. Biologists can use this information to interpret the course of medication. Also this result can be useful to cure biosequence databases.
Keywords: H1N1 analysis, curation of data base, Homology, Fuzzy membership, sequence analysis
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