2D Graphical Representation of DNA Sequences Based on Variant Map

Mining and analyzing the information and structure of DNA sequences is an important method of exploring and explaining the mysteries of biology. In addition to traditional biological detection methods for DNA sequences, technological advances have allowed researchers to utilize computers to analyze DNA sequences, such as in DNA visualization. However, DNA visualization techniques have disadvantages, such as difficult operation and complex calculation. Therefore, in this paper, we propose an algorithm called VARCH based on a variant map that is a part of variant logic construction. VARCH is a high-efficiency and concise visualization algorithm for DNA sequences. The principle of this approach is that the number of base combinations in each DNA subsequence is counted, and a matrix is constructed based on the full arrangement of different base combinations. Finally, the matrix is mapped to the 2D coordinate plane, obtaining the image of DNA sequences. The experimental results demonstrate that VARCH can effectively display features of DNA sequences.