Sequence Similarity between Genetic Codes using Improved Longest Common Subsequence Algorithm

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A. Murugan, U. Udayakumar

Abstract

Finding the sequence similarity between two genetic codes is an important problem in computational biology. In this paper, we developed an efficient algorithm to find sequence similarity between genetic codes using longest common subsequence algorithm. The algorithm takes the advantages over the edit distance algorithm and improves the performance. The proposed algorithm is tested on randomly generated DNA sequence and finding the exact DNA sequence comparison. The DNA genetic code sequence comparison can be used to discover information such as evolutionary divergence and ways to apply genetic codes from one DNA sequence to another sequence.

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How to Cite
, A. M. U. U. (2017). Sequence Similarity between Genetic Codes using Improved Longest Common Subsequence Algorithm. International Journal on Recent and Innovation Trends in Computing and Communication, 5(7), 57 –. https://doi.org/10.17762/ijritcc.v5i7.1000
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