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The Scientific World Journal
Volume 2015, Article ID 786497, 9 pages
Research Article

Improved Algorithm for Analysis of DNA Sequences Using Multiresolution Transformation

Department of Electronics and Communication Engineering, RMK Engineering College, Chennai 601206, India

Received 26 January 2015; Revised 3 April 2015; Accepted 4 April 2015

Academic Editor: Boris Martinac

Copyright © 2015 T. M. Inbamalar and R. Sivakumar. This is an open access article distributed under the Creative Commons Attribution License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.

Citations to this Article [5 citations]

The following is the list of published articles that have cited the current article.

  • Sanyogita Sharma, Kanika Sandal, Pardeep Garg, and Sunil Datt Sharma, “Performance analysis of window functions for exon prediction in DNA sequences,” 2017 International Conference on Computing, Communication and Automation (ICCCA), pp. 283–286, . View at Publisher · View at Google Scholar
  • Saikat Singha Roy, and Soma Barman, “Polyphase filtering with variable mapping rule in protein coding region prediction,” Microsystem Technologies, 2016. View at Publisher · View at Google Scholar
  • Shiwani Saini, and Lillie Dewan, “Comparison of Numerical Representations of Genomic Sequences: Choosing the Best Mapping for Wavelet Analysis,” International Journal of Applied and Computational Mathematics, 2016. View at Publisher · View at Google Scholar
  • Biswanath Chowdhury, Arnav Garai, and Gautam Garai, “An optimized approach for annotation of large eukaryotic genomic sequences using genetic algorithm,” BMC Bioinformatics, vol. 18, no. 1, 2017. View at Publisher · View at Google Scholar
  • Subhajit Kar, Madhabi Ganguly, and Saptarshi Das, “Using Dit-Fft Algorithm For Identification Of Protein Coding Region In Eukaryotic Gene,” Biomedical Engineering: Applications, Basis and Communications, vol. 31, no. 01, pp. 1950002, 2019. View at Publisher · View at Google Scholar