Computational advances and the development of high throughput sequencing methods have led to a virtual explosion of genomics, proteomics, and metabolomics data, providing new approaches to problems in biosciences. The computer-aided analysis of these data with new tools from information science comprises the field of Genomics/Bioinformatics. The Genomics/Bioinformatics option examines the use of computational techniques to convert large amounts of information from DNA sequencing, DNA chips, and other high-throughput experimental methods into useful information that can be shared with other research scientists and medical professionals. The emphasis is on DNA and protein sequence alignment and analysis, and involves computational biology and biological statistics. Students will acquire skills preparing them for jobs or graduate programs in this new, rapidly growing field.
Genomics/Bioinformatics Option (29 credits):
Students are required to take one or two courses in each of four areas:
- Biochemistry/Molecular Biology
- Genetics/Organismal Biology
- Computer Science
- Statistics/Modeling.
In addition, students obtain depth by choosing one of these four areas as their area of emphasis and taking an additional 6 to 8 credits of upper-division courses in that area, plus additional upper-division electives.
Finally, students are required to do an internship in biocomputing, as a prerequisite to, or concurrent with starting, their research projects.
Mathematics:
Substitute MTH 231. Elements of Discrete Mathematics (4)
and MTH 232. Elements of Discrete Mathematics II (4)
for MTH 251. *Differential Calculus (4)
and MTH 252. Integral Calculus (4)
Required:
BRR 410. Internship (Biocomputing) (3)
1. Biochemistry/Molecular Biology:
Choose one course:
BI 314. Cell and Molecular Biology (4)
or BB 331. *Introduction to Molecular Biology (3) 
2004 Oregon State University