This course provides both theory and practice of commonly used methods in the analysis of bioinformatics data. These methods include analysis of ribose nucleic acid (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.

CILO-1: Implement computer programmes to analyze high-throughput deoxyribose nucleic acid (DNA), ribose nucleic acic (RNA), and protein sequence data. CILO-2: Explain the rationale for using and interpret the results from analysis of deoxyribose nucleic acid (DNA), ribose nucleic acic (RNA) and protein sequence data. CILO-3: Use statistical techniques for analysis of bioinformatics data.