Author(s)

Dandan Zhang

Department of Mathematics, Jinan University, Guangzhou, China.

Background: The multiple sequence alignment (MSA) algorithms are the traditional ways to compare and analyze DNA sequences. However, for large DNA sequences, these algorithms require a long time computationally. Objective: Here we will propose a new numerical method to characterize and compare DNA sequences quickly. Method: Based on a new 2-dimensional (2D) graphical representation of DNA sequences, we can obtain an 8-dimensional vector using two basic concepts of probability, the mean and the variance. Results: We perform similarity/dissimilarity analyses among two real DNA data sets, the coding sequences of the first exon of beta-globin gene of 11 species and 31 mammalian mitochondrial genomes, respectively. Conclusion: Our results are in agreement with the existing analyses in our literatures. We also compare our approach with other methods and find that ours is more effective.

DNA Map, Zigzag Curve, Numerical Characterization, Similarity Analysis

Zhang, D. (2019) A New Numerical Method for DNA Sequence Analysis Based on 8-Dimensional Vector Representation. Journal of Applied Mathematics and Physics, 7, 2941-2949. doi: 10.4236/jamp.2019.712204.