Genetic sequence embeddings (GSEs) are revolutionizing our capacity for analyze and interpret biological sequences. Among these, GSEBA is recognized as a prominent method for generating high-quality embeddings effectively encode the complexities of genetic data. GSEBA, a revolutionary approach to structure is based on deep learning, allowing it to