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Zeitschrift für Informatik und Systembiologie

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Matrix Frequency Analysis of Oryza Sativa (japonica cultivar-group) Complete Genomes

Abstract

K. Manikandakumar, S. Muthu Kumaran and R. Srikumar

The genome sequence information is essential to understand the function of extensive arrangements of genes. It is significant to combine all sequence information in a precise database to provide an efficient manner of sequence similarity search. The complete genome analysis, which is one of the essential steps to know their characteristics, is very important. Complete genome analysis is depends on matrix frequency of sequence residue calculation and CGR analysis. In this study, we select rice as the specimen for complete genome analysis. Rice is one of the most essential cereal crops providing food for more than half of the world’s population. Oryza sativa (japonica cultivar-group) species is an important cereal and model monocot. We have generated a matrix frequency for genetic code analysis, which helps in the study of complete genome residues. Here we report the duplets and triplets codon for genetic code analysis of O. sativa chromosomes. We illustrate a new method of Chaos Game Representation, which produces the objects possessing self-similar structure. As per our findings, the average matrix frequency of stop codons is similar to the matrix frequency of start codon. This average is seems to be similar in the complete genome sequences of every Oryza sativa (japonica cultivar-group) chromosomes.

Haftungsausschluss: Dieser Abstract wurde mit Hilfe von Künstlicher Intelligenz übersetzt und wurde noch nicht überprüft oder verifiziert

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