BIOL 327
Fall 2005
| Section:
01
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| Crosslisting:
COMP 327, BIOL 527, COMP 527 |
| Certificates: Environmental Studies, Informatics and Modeling |
Bioinformatic analysis of gene sequences and gene expression patterns has added enormously to our understanding of ecology and evolution. For example, through bioinformatic analysis of gene sequences, we can now reconstruct the evolutionary history of physiology even though no traces of physiology exist in the fossil record. We can determine the adaptive history of one gene and all the gene's descendants. We can now construct the evolutionary tree of all of life. Bioinformatics is particularly promising for analysis of the ecology and biodiversity of microbial communities, since well over 99% of microorganisms cannot be cultured--our only knowledge of these organisms is through analysis of their gene sequences and gene expression patterns. For example, even when we cannot culture most of a microbial community, we can determine which metabolic pathways are of greatest significance through analysis of community-level gene expression. All these research programs are made accessible not only by breakthroughs in molecular technology, but also by innovation in the design of computer algorithms. This course, team-taught by an evolutionary biologist and a computer scientist, will present how bioinformatics is revolutionizing evolutionary and ecological investigation, and will present the design and construction of bioinformatic computer algorithms underlying the revolution in biology. |
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Essential Capabilities:
Quantitative Reasoning, Quantitative Reasoning |
| Credit: 1 |
Gen Ed Area Dept:
None |
| Course Format: Lecture | Grading Mode: Student Option |
| Level: UGRD |
Prerequisites: [MB&B205 or BIOL205] OR [BIOL206 or MB&B206] OR BIOL207 OR COMP212 OR [COMP312 or COMP510] OR [MB&B225 or BIOL225] OR [MB&B181 or BIOL181] OR [MB&B195 or BIOL195] OR [BIOL182 or MB&B182] |
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Fulfills a Requirement for: (BIOL)(COMP)(ENVS-MN)(ENVS)(NS&B) |
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Past Enrollment Probability: Not Available |
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