Pairwise Spatial Correlation of SARS-Corona Viruses

London Journal of Research in Computer Science and Technology
Volume | Issue | Compilation
Authored by E G Rajan , NA
Classification: NA
Keywords: SARS-Corona Viruses, Artificial Intelligence, Machine Learning.
Language: English

A set of complete genome data of nine SARS-Corona type viruses are analyzed for possible common features among them. A novel genetic features called ‘Percentage Concentration of Nucleotides’ denoted as pA, pT, pG and pC are evaluated for each genome data and cross verified with other data whether all of them possess the same genetic features or not. It was found to be approximately the same for all genomes. This means, all SARS-Corona type viruses have the same structural genetic property, in the system biological sense. On the other hand, the genetic functional properties of SARS-Corona type viruses are different from one another. The scope of this paper is limited to study of spatial correlation among the genome data sets under consideration. Adjoints of a genome data are four independent binary sequences corresponding to the nucleotides of adenine, thymine, guanine and cytosine. For example, the adjoint of adenine of a genome sequence is a binary sequence consisting of 1’s in the place of adenine in the genome sequence and 0’s in all other places. Two-dimensional array of an adjoint of period 128 is obtained by dividing the binary sequence into segments of length 128 and placing all segments one below the other. One can try with periods of 64, 32, and so on and obtain respective two-dimensional arrays. This two-dimensional array is referred here as adjoint array. Adjoint arrays of all nine genome data are pair wise correlated and results reported in this paper.

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