Machine Learning in Bioinformatics

Machine learning in bioinformatics involves using algorithms that analyze large biological data sets—such as genetic sequences or protein structures—to identify patterns and make predictions. These systems learn from existing data to understand complex biological relationships, helping scientists discover new insights about diseases, develop personalized treatments, and understand how various biological processes work. Essentially, machine learning acts as a sophisticated tool that automates and enhances data analysis, enabling faster and more accurate interpretations of biological information that would be difficult or time-consuming to achieve manually.