Linear Prediction of Non-Overlapping Codons in a Genome Sequence
Venkateswarlu Pedakolmi1, E.G. Rajan2
1Venkateswarlu Pedakolmi, Research Scholar, Dept. of Computer Science, MG-NIRSA, Affiliated to University of Mysore, Manasagangotri, Mysore, Karnataka, India.
2Prof. E.G. Rajan, Director, MG-NIRSA; Director, PRC Global Technologies Inc., Ontario, Canada.
Manuscript received on 04 August 2019. | Revised Manuscript received on 10 August 2019. | Manuscript published on 30 September 2019. | PP: 7176-7186 | Volume-8 Issue-3 September 2019 | Retrieval Number: C6167098319/19©BEIESP | DOI: 10.35940/ijrte.C6167.098319
Open Access | Ethics and Policies | Cite | Mendeley | Indexing and Abstracting
© The Authors. Blue Eyes Intelligence Engineering and Sciences Publication (BEIESP). This is an open access article under the CC-BY-NC-ND license (http://creativecommons.org/licenses/by-nc-nd/4.0/)
Abstract: The concept of ‘non-overlapping n-ary codons’ is proposed in this paper as a novel approach to the study of genome sequences in the framework of theoretical computer science. Given a genome sequence of length N, one can have (N/n) non-overlapping n-ary codons with 0 or 1 or up to n-1 unused nucleotides left out in the sequence. Unused nucleotides are not considered in the scheme of genetic code.
Keywords: Linear Prediction, n-ary Codons (n-codons), Genome Sequences
Scope of the Article: Regression and Prediction