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BIST-530-01 Biostatistics for Bioinformatics
Fall only
Bioinformatics is the application of computer science, statistics, and mathematics to the management and analysis of large-scale, complex biological data. This course will enable students to obtain some understanding of the statistical methods needed to analyze such data. During the first weeks of the course, we will provide a basic introduction to database management systems and an overview of important biological databases including GenBank, UniProt, and iProClass. The course will then go on to describe the underlying theories and algorithms for sequence alignment (pairwise, multiple, nucleotides, proteins, statistical evaluation), sequence analysis (correlations, profiles, PAM and BLOSUM matrices), genome comparison (dot matrices), molecular evolution, and gene prediction. For each of these topics, available tools will be introduced during hands-on laboratory sessions.
Credits: 3
Prerequisites: Introductory statistics
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