Abstract
Protein sequence analysis is an important tool to decode the logic of life. The rapid growth of protein sequences is constantly throwing several challenges to the bioscientists. So several methods are being improvised to assign mathematical descriptors to protein sequences, in order to quantitatively compare the sequences and determine similarities and dissimilarities between them. In this paper, for the analysis of protein sequences their 4-bit ranks and entropies are studied and compared with each other which yields satisfactorily convenient results.
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Pal, J., Dey, A., Ghosh, S., Bhattacharya, D.K., Mukherjee, T. (2015). Analysis of Similarity Between Protein Sequences Through the Study of Symbolic Dynamics. In: Maharatna, K., Dalapati, G., Banerjee, P., Mallick, A., Mukherjee, M. (eds) Computational Advancement in Communication Circuits and Systems. Lecture Notes in Electrical Engineering, vol 335. Springer, New Delhi. https://doi.org/10.1007/978-81-322-2274-3_24
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DOI: https://doi.org/10.1007/978-81-322-2274-3_24
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