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3 credits
Spring 2025 Lecture Distance Learning Upper DivisionAccumulation of biological data, such as genome sequences, protein structures and sequences, metabolic pathways, opened up a new way of research in biology-bioinformatics. Through the survey of the various active research topics in bioinformatics, in this course we will learn bioinformatics databases, tools, and algorithms behind these tools. Special emphasis is placed on protein sequence and structure analyses. Covered topics will include methods for protein sequence comparison, protein structure comparison, protein structure prediction/modeling, protein docking prediction, protein function prediction, and protein network analysis.
Learning Outcomes1Utilize biological database searches including protein and nucleotide sequences, motifs, and structures, and interpret results in statistically correct fashion.
2Develop bioinformatics analysis pipeline that apply a series of appropriate bioinformatics tools with proper setting for predicting protein function and structures and interpret results correctly by knowing algorithms, strengths, and limitations of the tools used.
3Construct the tertiary structure models of protein and protein complexes with appropriate software and predict the accuracy of the models built.
4Apply functional analysis of gene networks and compute the statistical significance of results.
5Discuss appropriateness of bioinformatics analyses in biology literature and propose alternative approaches that may work better than ones used in the literature.