BIO 316 - Introduction to Computational Biology (4)


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.

Prerequisite(s): Must have a C- or better in BIO 110 , BIO 111 , and BIO 112  or permission.
Offered fall term.


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