Analysis of similarity/dissimilarity of DNA sequences based on convolutional code model.
Based on the convolutional code model of error-correction coding theory, we propose an approach to characterize and compare DNA sequences with consideration of the effect of codon context. We construct an 8-component vector whose components are the normalized leading eigenvalues of the L/L and M/M matrices associated with the original DNA sequences and the transformed sequences. The utility of our approach is illustrated by the examination of the similarities/dissimilarities among the coding sequences of the first exon of beta-globin gene of 11 species, and the efficiency of error-correction coding theory in analysis of similarity/dissimilarity of DNA sequences is represented.
Liu
Xiao
X
College of Communication Engineering, Chongqing University, Chongqing, China. liuxiao@cqu.edu.cn
Tian
Feng Chun
FC
Wang
Shi Yuan
SY
D000818:Animals; D001483:Base Sequence; D005091:Exons / Q000235:genetics; D006801:Humans; D008957:Models, Genetic; D008969:Molecular Sequence Data; D016366:Open Reading Frames / Q000235:genetics*; D017422:Sequence Analysis, DNA; D012689:Sequence Homology, Nucleic Acid; D055544:beta-Globins / Q000235:genetics
D055544:beta-Globins