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RNA-seq Analysis

By Bill Morgan1, Matthew Reeder2

1. The College of Wooster 2. Ohio State University

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...

Listed in Teaching Materials | resource by group NIBLSE Incubator: RNA-seq Analysis

Version 2.0 - published on 05 Jun 2017

Licensed under CC Attribution-ShareAlike 4.0 International according to these terms

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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. 

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The publication was updated to include a new license. 

NIBLSE Incubator: RNA-seq Analysis

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