Gene sequence analysis is a complex subject involving many fields such as biology, computer science and statistics. It aims to reveal the genetic information of organisms by analyzing the nucleotide sequence of DNA, and then understand the basic process and mechanism of life. Gene sequence analysis is a complex subject involving multidisciplinary knowledge. It reveals the genetic information of organisms by analyzing the nucleotide sequence of DNA, and then understands the basic process and mechanism of life. With the continuous development of sequencing technology and the continuous improvement of bioinformatics methods, gene sequence analysis will play a more important role in the future. In this work, we focused on the sequences transform as the numerical matrixes. And then, the numerical matrixes can be treated as typical image classification model. The SENet employed as the classification model to deal with the image classification issue. We find the method can merely discover some basic information.