In this course, we explore new computational approaches for studying genomic data, including biological sequence data and gene expression ( gene chip ) data. Our focus is on machine learning techniques: probabilistic models such as hidden Markov models, learning algorithms like support vector machines and clustering for classification problems, Bayesian networks for inferring regulatory networks.