MCB416A
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MCB416A - Bioinformatics and Functional Genomic Analysis
Course Description
The course introduces computational and bioinformatics methods for the analysis of high-throughput experimental data in functional genomics, using the analysis of next-generation RNA-sequencing as a leading example. The course discusses related biological concepts and techniques, statistical methods and models, and provides hands-on experience with data analysis using R-based open-source software Bioconductor. The course prepares the students to perform independent analyses of genomic data in an interdisciplinary environment such as a research lab or pharmaceutical company.
Min Units
3
Max Units
3
Repeatable for Credit
No
Grading Basis
GRD - Regular Grades A, B, C, D, E
Career
Undergraduate
May be convened with
MCB516A
Name
Lecture
Workload Hours
3
Optional Component
No
Typically Offered Main Campus
Spring (even years only)