This course provides both theory and practice of commonly used methods in the analysis of bioinformatics data. These methods include analysis of ribose nucleic acic (RNA), deoxyribose nucleic acid (DNA), and protein sequence data, structure and function analysis, statistical methods, and techniques used in detection of disease associated genes and mutation loci. Analysis demos, practical work, and individual projects are conducted in web and UNIX/LINUX environments.
