Machine Learning of Biological Sequences

Explore the intersection of machine learning and computational biology in this comprehensive lecture that examines how artificial intelligence techniques can be applied to analyze and understand biological sequences. Learn about the fundamental challenges in processing DNA, RNA, and protein sequences using computational methods, and discover how machine learning algorithms can identify patterns, predict functions, and extract meaningful insights from complex biological data. Delve into specific methodologies for sequence analysis, including neural networks, deep learning approaches, and statistical models that have revolutionized bioinformatics research. Understand the practical applications of these techniques in genomics, proteomics, and evolutionary biology, while gaining insights into current research trends and future directions in the field of computational biology and bioinformatics.