Oregon State University College of Agricultural Sciences 24 courses
Technological advances in the life sciences have led to a virtual explosion of genomics, proteomics, metabolomics and related "omics" data that give unprecedented global and molecular views of living systems. The Genomics/Bioinformatics Option focuses on computational analyses of these data, using state-of-the-art methods. Computational areas of emphasis within this option include sequence (DNA and protein) analysis and alignment, biological network analysis, and quantitative modeling. Students will be able to use these data to answer research questions and address emerging applications in life sciences, biotechnology, and medicine, and will be prepared for careers or graduate programs in this new, rapidly growing field.
| Option Credits | 27 credits |
Required Core
Electives
| Code | Course Title | Credits |
|---|---|---|
| BDS 478 | Functional Genomics | 3 |
| BOT 321 | Plant Systematics | 4 |
| MB 302 | General Microbiology | 3 |
| MB 340 | Human Virology | 4 |
| MB 480 | General Parasitology | 3 |
| PBG 430 | Plant Genetics | 3 |
| PBG 450 | Plant Breeding | 4 |
| Z 361 | Invertebrate Biology | 3 |
Specialization and Breadth Electives
| Code | Course Title | Credits |
|---|---|---|
| CS 225 or MTH 231 | Discrete Structures in Computer Science or Elements of Discrete Mathematics | 4 |
| CS 261 | Data Structures | 4 |
| CS 419 | Selected Topics in Computer Science | 0-5 |
| CS 446 | Networks in Computational Biology | 3 |
| MB 420 | Microbial Genome Evolution and Biodiversity | 3 |
| ST 412 | Methods of Data Analysis | 4 |
| TOX 480 | Computational Toxicology and Risk Assessment | 3 |
| Total Specialization and Breadth Electives | 27 credits | |
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