MCB447

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MCB447 - Big Data in Molecular Biology and Biomedicine

Molecular & Cellular Biology Undergraduate UA - UA General

Course Description

Recent technological advances enable the collection of massive biological data sets, both in the research lab and in the medical clinic. These Big Data offer opportunities for discovering new biology, but they also demand new analysis approaches. This course will introduce students with a strong molecular biology background to the use of Big Data statistics. Students will learn how to visualize complex data, identify biologically relevant clusters, model relationships between variables, and classify entities. They will apply these techniques to a diverse range of biological Big Data, including electronic medical records, gene expression measurements, and human population genetic sequences. Students will learn through homework, in-class exercises, and a substantive final project.

Min Units

3

Max Units

3

Repeatable for Credit

No

Grading Basis

GRD - Regular Grades A, B, C, D, E

Career

Undergraduate

Enrollment Requirements

017888

Name

Lecture

Workload Hours

3

Optional Component

No