Abstract
The DNA sequencing technology is evolving day by day. It results in the creation of large repository of sequence data. One important aspect of analyzing these sequence data is sequence alignment. In this research paper, a method of DNA sequence alignment with the help of a dynamic window algorithm has been discussed. The dynamic window will help in producing the comparative score of different alignment scheme resulting into the best acceptable alignments efficiently.
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Bioinformatics: sequence and genome analysis, David W. Mount, Cold Spring Harbor Laboratory Press.
Fundamental Molecular Biology, Lizabeth A. Allison, Blackwell Publishing Ltd.
A review of DNA sequencing techniques, Lilian T. C. Franca et al, Quarterly Reviews of Biophysics 35, 2 (2002), pp. 169–200. 2002 Cambridge University Press.
DB-Curve: a novel 2D method of DNA sequence visualization and representation, Chemical Physics Letters 367 (2003) 170–176.
Advanced Numerical Representation of DNA Sequences, 2012 International Conference on Bioscience, Biochemistry and Bioinformatics, IPCBEE vol. 3 1(2012) © (2012) IACSIT Press, Singapore.
A survey of sequence alignment algorithms for next-generation sequencing, Heng Li and Nils Homer, Briefings in bioinformatics.vol 11. no 5. 473–483, 2010.
Bioinformatics: sequence, structure & databanks, A practical approach, D. Higgins, W. Taylor, Oxford university press.
Sequence alignment and Markov’s Model, K.R. Sharma, The Mc-Graw Hill.
Mind the Gaps: Evidence of Bias in Estimates of Multiple Sequence Alignments, Tanya Golubchik etal, Mol. Biol. Evol. 24(11):2433–2442. 2007.
Directed graphs of DNA sequences and their numerical characterization, Chun Li, Journal of Theoretical Biology 241 (2006) 173–177.
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Behera, L.K. (2018). Global Common Sequence Alignment Using Dynamic Window Algorithm. In: Mandal, J., Saha, G., Kandar, D., Maji, A. (eds) Proceedings of the International Conference on Computing and Communication Systems. Lecture Notes in Networks and Systems, vol 24. Springer, Singapore. https://doi.org/10.1007/978-981-10-6890-4_7
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DOI: https://doi.org/10.1007/978-981-10-6890-4_7
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