Numerical Characterization of Gene Sequences Based on Chaos Principle
Sunita1, Amrita Priyam2, Parikshit Munda3
1Sunita, Department of Computer Science and Engineering, C.I.T Tatisilwai Ranchi (Jharkhand), India.
2Dr. Amrita Priyam, Department of Computer Science and Engineering, B.I.T Ranchi (Jharkhand), India.
3Parikshit Munda, Department of Computer Science and Engineering, C.I.T Tatisilway, Ranchi (Jharkhand), India.
Manuscript received on 10 May 2013 | Revised Manuscript received on 18 May 2013 | Manuscript Published on 30 May 2013 | PP: 116-119 | Volume-2 Issue-6, May 2013 | Retrieval Number: F0812052613/13©BEIESP
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© 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: In this paper new approach is being proposed to numerically represent a gene. This can be further used to build a model that can search a gene more accurately and in less time than present methods. The method consists of three parts: primary sequence was reduced to a few of binary sequences, based on the classifications of the four nucleic acid bases. Then, by using a encoding rule, binary sequences were converted into DNA signal, which were used as input vector to calculate six embedded phase space fractal dimension(PSFD) as new invariants for the DNA primary sequences. Using these invariants, similarities among the primary sequences for one gene belonging to 10 different species is being computed.
Keywords: Chaos, Fractals, Genes, Phase Space, Dna.
Scope of the Article: Network Traffic Characterization and Measurements