IT471 Topics in Bioinformatics

This course covers basic machine learning techniques that are used in molecular biology. We will also see how we can apply them in solving the mysteries of the living systems. Tentative Course Content Overview of Molecular Biology, Refresher of Probability-Statistics and Optimization, Hidden Markov Model (HMM), Stochastic Context-Free Grammar (SCFG), Least Square Regression, Neural Network, Support Vector Machine (SVM), Applications of these techniques such as in finding non-coding RNAs, RNA folding, RNA secondary structure classification, Protein folding and misfolding, Gene Regulatory Networks (GRN)