Bioinformatics in Medicine and Biology
BIOL-UA 103
Due to recent advancements in High Throughput Genomics technology, we can study the function of many genes and can compare genes in normal vs. diseased cells so as to better understand the molecular mechanisms of different diseases. Students learn how to program in R (a powerful statistical programming language), use statistical methods to analyze real biomedical data, and learn how to interpret the results.
Format: Lecture, Recitation
Prerequisites: MCB1 (BIOL-UA 21)
Corequisites: None
Location: New York
Equivalent(s): None
Course Description
Term(s) offered:
Requirements satisfied:
- Major: Biology Standard Track
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- Upper-Level Elective
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- Quantitative Skills
- Advanced Biology
- Major: GPH/Biology
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- Additional Elective
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- Minor: Genomics & Bioinformatics
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- Elective
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- Upper-Level Elective
-
- Quantitative Skills
- Advanced Biology
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- Upper-Level Elective
-
- Additional Elective
- Additional Elective
-
- Elective
- Elective