Resource Image

RNA-seq Analysis

Author(s): Bill Morgan1, Matthew Reeder2

1. The College of Wooster 2. Ohio State University

1456 total view(s), 261 download(s)

0 comment(s) (Post a comment)

Summary:
In this computer lab module, students learn how to process an RNA-seq data set to identify differentially expressed genes (DEGs). The samples for this data set were collected from yeast cells expressing either a control gene or a pathogen...
Contents:

Description

In this computer lab module, students learn how to process an RNA-seq data set to identify differentially expressed genes (DEGs). The samples for this data set were collected from yeast cells expressing either a control gene or a pathogen effector gene. The goal is to identify potential cellular targets of the pathogen protein based on the global transcriptional response. Students access and analyze the RNA-seq data set using a publicly available Galaxy server. After checking and processing the data for quality control, they then map the reads to the yeast reference genome and subsequently identify genes that are differentially expressed between the control and experimental samples. 

Notes

The publication was updated to include a new license. 

Cite this work

Researchers should cite this work as follows: