Genetic sequence embeddings (GSEs) are revolutionizing our ability to analyze and interpret biological sequences. Within these, GSEBA is recognized as a prominent method for creating effective embeddings effectively encode the nuances of genetic data. GSEBA, a revolutionary approach to design is based on deep learning, allowing it to learn underly