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An Hybrid Method for Comparing Brainstem Glioma Sequences using Needleman Wunsch And waterman smith Algorithms

Publication Type : Conference Paper

Publisher : (2017) 2017 2nd International Conference for Convergence in Technology

Source : (2017) 2017 2nd International Conference for Convergence in Technology, I2CT 2017, 2017-January, pp. 867-872

Campus : Mysuru

School : School of Arts and Sciences

Department : Computer Science

Year : 2017

Abstract : Dynamic programming in bioinformatics is a memory based data structure for saving computational time with one-time storage of each problem solution. Algorithm and Scoring parameters are used to evaluate Brainstem Glioma patients DNA Sequence and comparing each other. 1. Local comparison a. Ignoring disparate sequences outside similar sequences b. locally arrange similar sequence. 2. Global comparison. Building evolutionary tree of sequences with functional comparison each other. The calculating functional similarity of related sequence is more important than unrelated sequence comparison. Implemented Hybrid approach provides operations with more than 1000000 nucleotides using divide and conquers approach i.e. multi branched recursion. Filling only main three diagonals lead to get an optimal solution with the accurate result comparing other existing approaches.

Cite this Research Publication : Bipin Nair, B.J., Shibin, K., Shamcy, O.An hybrid method for comparing brainstem glioma sequences using needleman wunsch and waterman smith algorithms (2017) 2017 2nd International Conference for Convergence in Technology, I2CT 2017, 2017-January,pp. 867-872, 2017

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