TopAIMS: The aim of this course is three folds. First, the course provides an overview of common computational techniques used in the field of bioinformatics, including similarity operations, clustering, and classification techniques. Second, the course introduces several computational tasks that are commonly encountered by bioinformaticians and discusses their solutions. Last, but not least, the course demonstrates the role of bioinformaticians as a bridge between the field of computer science and biology, and prepares students for advanced computer-science topics relevant to bioinformatics.
OBJECTIVES: The student will master the basic tools and approaches for analysis of DNA sequences, protein sequences, gene expression profiles, etc. He will have a good understanding of important problems and applications of computational biology such as identification of functional features in DNA and protein sequences, prediction of protein function, deriving diagnostic models from gene expression profiles, etc. He will also have the confidence to propose new solutions in these applications as well as new emerging problems in computational biology.