CANC 604. Cancer Genomics Data Analyses .
Credits: 1
Offered by: Interdepartmental Studies (Graduate Studies)
This course is not offered this catalogue year.
Description
An introduction to the basic principles underlying genome-wide analysis of high-dimensional genomic data such as gene expression, epigenetic, or proteomic or data through the lens of RNA-seq expression data to illustrate concepts such as assessing data quality, the need for normalization, the impact of filtering, and testing for differential expression.
- Prerequisites: BIOL 200, BIOC 212, ANAT 212 or permission of the instructor.
- 1. An understanding of transcription, translation, and how RNA-seq data measure transcription is required.