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Option Genomics/Bioinformatics Undergraduate Option  

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This option is offered within the following major(s):
Bioresource Research - College of Agricultural Sciences

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.

Required Courses

Biochemistry/Molecular Biology:

Choose one course from below:
BB 314/BI 314. Cell and Molecular Biology (4) [BI 314 terminated summer 2017]
BB 331. *Introduction to Molecular Biology (3)

Computer Science:

Choose either:
BOT 476. Introduction to Computing in the Life Sciences (3)
CS 161, CS 162. Introduction to Computer Science I, II (4,4) and MTH 231. Elements of Discrete Mathematics (4)

Genomics and Bioinformatics

BB 499. Special Topics: Nucleic Acid Bioinformatics (3)
BOT 475. Comparative Genomics (4)


ST 352. Introduction to Statistical Methods (4)

Organismal Biology Elective:

Choose at least 3 credits of upper-division course work related to the group of organisms that your research concerns. Examples could include:
BOT 321. Plant Systematics (4)
MB 302. General Microbiology (3)
PBG 430. Plant Genetics (3)
PBG 450. Plant Breeding (4)
Z 361. Invertebrate Biology (3)

Specialization and Breadth Courses:

Choose courses from the lists below, or other upper-division courses approved by research mentor, for a total of 29 option credits.

General electives:
BB 481. Macromolecular Structure (3)
BB 494. Biochemistry Laboratory Molecular Techniques 2 (3)
BB 499. Special Topics: Biocomputing: Molecular Simulation (3)
MB 310. Bacterial Molecular Genetics (3)
MB 311. ^Molecular Microbiology Laboratory: A Writing Intensive Course (3)
MB 668. Microbial Bioinformatics and Genome Evolution (4)

If your interest is in biological data mining, suggested choices include:
CS 261. Data Structures (4)
CS 325. Analysis of Algorithms (4)
CS 420. Graph Theory with Applications to Computer Science (3)

If your interest is in modeling, suggested choices include:
MTH 254. Vector Calculus I (4)
MTH 256. Applied Differential Equations (4)
MTH 341. Linear Algebra I (3)
ST 411, ST 412. Methods of Data Analysis (4,4)
ST 421, ST 422. Introduction to Mathematical Statistics (4,4)
ST 441. Probability, Computing, and Simulation in Statistics (4)



Option Code: 627

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