algorithmic biology

Algorithmic biology uses computational methods and algorithms to study and understand biological systems. It involves analyzing large data sets—like genetic sequences, protein structures, or ecological data—to identify patterns, make predictions, and solve biological problems. By applying computer science techniques, researchers can model complex processes such as gene regulation, disease spread, or evolution. This approach accelerates discoveries and provides deeper insights into how living organisms function, ultimately helping us improve medicine, agriculture, and environmental management through data-driven solutions.