Genetic sequence embeddings (GSEs) are rapidly changing our understanding of analyze and interpret biological data. Within these, GSEBA is recognized as a prominent method for developing powerful embeddings which represent the complexities of genetic data. GSEBA, a revolutionary approach to design is based on deep learning, allowing it to identify