A Computational Methods for Sequence Analysis course typically covers the core computational techniques used to analyze biological sequences like DNA, RNA, and proteins. This includes topics such as sequence alignment, dynamic programming, statistical modeling (like Hidden Markov Models), and machine learning approaches like Support Vector Machines and Neural Networks. The course aims to equip students with the skills to identify patterns, understand relationships, and make predictions based on these sequences.
- Course creator: Dr Mridhu Sharma