MCB516A
Download as PDF
MCB516A - Bioinformatics and Functional Genomic Analysis
Course ID
035168
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
Graduate
Course Attributes
GIDP - ABS (Applied Biosciences), GIDP - STATD (Statistics and Data Science), IIA - BIOC (BIOC - Biochemistry), IIA - ECOL (ECOL - Ecology & Evolution Bio)
Course Requisites
Basic statistical knowledge and programming experience.
May be convened with
MCB416A
Component
Lecture
Optional Component
No