CSDP 615 Bioinformatics

Credit 3
Topics include (not limited to); The primary objective of this course is to expose students to the computational methods and software tools often used in bioinformatics research. Bioinformatics is a new research field where computational models and methods are developed to analyze and interpret biological data and systems. Major topics in this course include sequence alignment and analysis, gene structure and prediction, motif recognition, structure modeling and prediction for RNA and protein sequences, protein identification in proteomics, and haplotyping and phylogenetic trees. The applications of machine learning and data mining algorithms in bioinformatics will also be introduced and studied.

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CSDP 615 Bioinformatics

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CSDP 615 Bioinformatics

Academic Affairs