BIO 316 - Introduction to Computational Biology (4)

Prerequisites: Must have a C- or better in BIO 110 , BIO 111 , and BIO 112 , or permission.
Broad overview of computational biology/bioinformatics with a significant problem-solving component. Significant hands-on practice will include using computational tools to solve a variety of molecular biological problems and an introduction to the Python programming language. Topics may include: database searching, sequence alignment, gene prediction, RNA and protein structure prediction, construction of phylogenetic trees, comparative and functional genomics.



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