Multiple Sequence Alignment Algorithms for a Protein Structure for a Biological Data using Dynamic Programming Method

P.V.S. Lakshmi Jagadamba

doi:10.37591/rtpl.v1i1.103

Multiple Sequence Alignment Algorithms for a Protein Structure for a Biological Data using Dynamic Programming Method

P.V.S. Lakshmi Jagadamba

Abstract

Many algorithms use dynamic programming to align two sequences. In this paper a new algorithm is proposed to perform multiple Sequence alignment. This algorithm is developed by taking the inspiration of dynamic programming and is implemented on protein structures of any length. It uses particle swarm optimization (PSO) techniques to get the best alignment. The proposed approach tries to improve the sequence alignment obtained by Needleman Wunsch algorithm.

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How to cite

P.V.S. Lakshmi Jagadamba. Multiple Sequence Alignment Algorithms for a Protein Structure for a Biological Data using Dynamic Programming Method. Recent Trends in Programming languages. 2016;1(1):4–10. https://doi.org/10.37591/rtpl.v1i1.103

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