The following directory lists the graduate courses which the University expects to offer, although the University in no way guarantees that all such courses will be offered in any given academic year, and reserves the right to alter the list if conditions warrant. Click on the links below for a list of courses in that subject area. You may then click “View Classes” to see scheduled classes for individual courses.
Prerequisites: Instructor consent.
Grading Basis: Graded
Coupling classical molecular biology techniques to high throughput sequencing for nucleic acid detection has revolutionized how scientists study biology. Students will be introduced to the command line and gradually build upon concepts and skills so that they will be capable of building workflows to process and analyse high throughput sequencing data. After basic concepts and command line competency are established, the course will focus on the analysis of ChIP-seq, RNA-seq, and ATAC-seq data. Students will learn to use many common genomics software packages to perform such tasks as genome alignment, peak calling, motif analysis, and differential expression analysis. Students will be introduced to the statistical computing language R and perform analyses and visualization using an R interface.
Last Refreshed: 04-MAR-24 05.20.23.385554 AM
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