Bioinformatics has revolutionized aquatic sciences by providing powerful computational tools for analyzing complex biological data, enhancing our understanding of aquatic biodiversity, ecosystem dynamics, and the impacts of environmental stressors. Cutting-edge technologies such as long-read and single-cell sequencing, environmental DNA (eDNA), and high-performance computing (HPC) are reshaping aquatic research, enabling real-time biodiversity monitoring and predictive modeling of ecosystem changes. The role of artificial intelligence (AI) and machine learning in species distribution modeling, climate adaptation, and disease surveillance is also highlighted. Additionally, the chapter discusses the applications of metagenomics in microbial ecology, nutrient cycling, and bioremediation, along with emerging opportunities in synthetic biology and marine biotechnology. Conservation genomics is explored as a key strategy for protecting endangered species, managing fisheries, and ensuring climate resilience (Ezziane Z. Expert Syst Appl, 30(1): 2–10, 2006). Challenges related to data privacy, ethical considerations, and the need for open-access data-sharing networks are examined, emphasizing the importance of global collaborations and interdisciplinary research. Looking ahead, bioinformatics will continue to play a transformative role in aquatic sciences, driving innovations in species conservation, aquaculture sustainability, and environmental monitoring. By fostering skill development, expanding computational resources, and integrating bioinformatics with oceanography and policy-making, this field holds immense potential for safeguarding aquatic ecosystems and promoting global biodiversity conservation.