Abstract
In Sequence Analysis, two sequences are compared to identify similarities and differences between them. Generally, a measure of how similar they are is also desirable. A typical approach to solve this problem is to find a good and reasonable alignment between the two sequences. Then, given an appropriate scoring scheme, their similarity can be computed. Alignment of protein sequences is an elementary step in the analysis of biological data. It has traditionally been applied to analyzing protein families for conserved motifs, phylogeny, structural properties, and to improve sensitivity in homology searching. In this paper an attempt has been made to develop a method employing the global and local alignment of protein. The proposed method improves both the accuracy and speed of sequence alignment process. A comparison of speed and accuracy of this method to other popular methods has also been given.
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References
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Borah, S., Shah, K.B. (2012). GLobal Alignment Tool (GLAT) – A Proposed Protein Alignment Algorithm. In: Deep, K., Nagar, A., Pant, M., Bansal, J. (eds) Proceedings of the International Conference on Soft Computing for Problem Solving (SocProS 2011) December 20-22, 2011. Advances in Intelligent and Soft Computing, vol 131. Springer, New Delhi. https://doi.org/10.1007/978-81-322-0491-6_81
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DOI: https://doi.org/10.1007/978-81-322-0491-6_81
Publisher Name: Springer, New Delhi
Print ISBN: 978-81-322-0490-9
Online ISBN: 978-81-322-0491-6
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